Exascale computing and big data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Reed, Daniel A.; Dongarra, Jack

Scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics. The tools and cultures of high-performance computing and big data analytics have diverged, to the detriment of both; unification is essential to address a spectrum of major research domains. The challenges of scale tax our ability to transmit data, compute complicated functions on that data, or store a substantial part of it; new approaches are required to meet these challenges. Finally, the international nature of science demands further development of advanced computer architectures and global standards for processing data, even as international competition complicates themore » openness of the scientific process.« less

Land-related global habitability science issues

NASA Technical Reports Server (NTRS)

1983-01-01

The scientific investigation of the viewpoint of the biosphere that living organisms and their physical and chemical environment are bound, inseparable parts of one set of closely coupled global processes of the global biogeochemical system, life and life support cycles, is discussed as one of the major scientific challenges of the next decade by building from understanding land processes to interdisciplinary, holistic studies of biospheric dynamics including human impacts.

Lay Americans' views of why scientists disagree with each other.

PubMed

Johnson, Branden B; Dieckmann, Nathan F

2017-10-01

A survey experiment assessed response to five explanations of scientific disputes: problem complexity, self-interest, values, competence, and process choices (e.g. theories and methods). A US lay sample ( n = 453) did not distinguish interests from values, nor competence from process, as explanations of disputes. Process/competence was rated most likely and interests/values least; all, on average, were deemed likely to explain scientific disputes. Latent class analysis revealed distinct subgroups varying in their explanation preferences, with a more complex latent class structure for participants who had heard of scientific disputes in the past. Scientific positivism and judgments of science's credibility were the strongest predictors of latent class membership, controlling for scientific reasoning, political ideology, confidence in choice, scenario, education, gender, age, and ethnicity. The lack of distinction observed overall between different explanations, as well as within classes, raises challenges for further research on explanations of scientific disputes people find credible and why.

Quantity and unit extraction for scientific and technical intelligence analysis

NASA Astrophysics Data System (ADS)

David, Peter; Hawes, Timothy

2017-05-01

Scientific and Technical (S and T) intelligence analysts consume huge amounts of data to understand how scientific progress and engineering efforts affect current and future military capabilities. One of the most important types of information S and T analysts exploit is the quantities discussed in their source material. Frequencies, ranges, size, weight, power, and numerous other properties and measurements describing the performance characteristics of systems and the engineering constraints that define them must be culled from source documents before quantified analysis can begin. Automating the process of finding and extracting the relevant quantities from a wide range of S and T documents is difficult because information about quantities and their units is often contained in unstructured text with ad hoc conventions used to convey their meaning. Currently, even simple tasks, such as searching for documents discussing RF frequencies in a band of interest, is a labor intensive and error prone process. This research addresses the challenges facing development of a document processing capability that extracts quantities and units from S and T data, and how Natural Language Processing algorithms can be used to overcome these challenges.

Using Cogenerative Dialogs to Improve Science Teaching and Learning: Challenges and Solutions in High School Students' Internships

NASA Astrophysics Data System (ADS)

Hsu, Pei-Ling

2018-05-01

Internships in science research settings have received increasing attention as a means of helping students construct appropriate understandings, practices, tools, and language in scientific activities. To advance student-scientist partnerships beyond the status quo, the study aimed to investigate how cogenerative dialogs (cogens) may help high school students and scientists identify and address challenges collectively. The analysis identified nine major challenges discussed during cogens: (1) the quality and progress of scientific practice in laboratories, (2) the quality of scientists'/assistants' instructions in classrooms, (3) the quality of student participation in classrooms and homework, (4) students' absences, including arriving late or leaving early, (5) the quality of administrative support, (6) preparation for scientific presentations, (7) the process of deciding project topics, (8) students' peer interactions and communication, and (9) students' physiological needs. The three most salient challenges were "the quality and progress of scientific practice in laboratories" (39%), "the quality of scientists'/assistants' instructions in classrooms" (20%), and "the quality of student participation in classrooms and homework" (17%). The study shows that cogens allowed students and scientists to agree on teaching modifications that positively influenced teaching and learning processes during the internship, such that issues were reduced from the beginning to the closing stages. Importantly, the challenges and solutions identified by students and scientists in this study provide accounts of first-hand experience as well as insights to aid program directors or coordinators in designing a learning environment that can foster effective practice for internships by avoiding the issues identified in the study.

New global communication process in thermodynamics: impact on quality of published experimental data.

PubMed

Frenkel, M; Chirico, R D; Diky, V; Muzny, C; Dong, Q; Marsh, K N; Dymond, J H; Wakeham, W A; Stein, S E; Königsberger, E; Goodwin, A R H; Magee, J W; Thijssen, M; Haynes, W M; Watanasiri, S; Satyro, M; Schmidt, M; Johns, A I; Hardin, G R

2006-01-01

Thermodynamic data are a key resource in the search for new relationships between properties of chemical systems that constitutes the basis of the scientific discovery process. In addition, thermodynamic information is critical for development and improvement of all chemical process technologies. Historically, peer-reviewed journals are the major source of this information obtained by experimental measurement or prediction. Technological advances in measurement science have propelled enormous growth in the scale of published thermodynamic data (almost doubling every 10 years). This expansion has created new challenges in data validation at all stages of the data delivery process. Despite the peer-review process, problems in data validation have led, in many instances, to publication of data that are grossly erroneous and, at times, inconsistent with the fundamental laws of nature. This article describes a new global data communication process in thermodynamics and its impact in addressing these challenges as well as in streamlining the delivery of the thermodynamic data from "data producers" to "data users". We believe that the prolific growth of scientific data in numerous and diverse fields outside thermodynamics, together with the demonstrated effectiveness and versatility of the process described in this article, will foster development of such processes in other scientific fields.

76 FR 43693 - Standard Operating Procedure for “Notice to Industry” Letters

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-21

... the Center for Devices and Radiological Health's (CDRH) process to clarify and more quickly inform stakeholders when CDRH has changed its expectations relating to, or otherwise has new scientific information... scientific information changes CDRH's regulatory thinking, it has been challenging for the Center to...

Making Scientific Data Usable and Useful

NASA Astrophysics Data System (ADS)

Satwicz, T.; Bharadwaj, A.; Evans, J.; Dirks, J.; Clark Cole, K.

2017-12-01

Transforming geological data into information that has broad scientific and societal impact is a process fraught with barriers. Data sets and tools are often reported to have poor user experiences (UX) that make scientific work more challenging than it needs be. While many other technical fields have benefited from ongoing improvements to the UX of their tools (e.g., healthcare and financial services) scientists are faced with using tools that are labor intensive and not intuitive. Our research team has been involved in a multi-year effort to understand and improve the UX of scientific tools and data sets. We use a User-Centered Design (UCD) process that involves naturalistic behavioral observation and other qualitative research methods adopted from Human-Computer Interaction (HCI) and related fields. Behavioral observation involves having users complete common tasks on data sets, tools, and websites to identify usability issues and understand the severity of the issues. We measure how successfully they complete tasks and diagnosis the cause of any failures. Behavioral observation is paired with in-depth interviews where users describe their process for generating results (from initial inquiry to final results). By asking detailed questions we unpack common patterns and challenges scientists experience while working with data. We've found that tools built using the UCD process can have a large impact on scientist work flows and greatly reduce the time it takes to process data before analysis. It is often challenging to understand the organization and nuances of data across scientific fields. By better understanding how scientists work we can create tools that make routine tasks less-labor intensive, data easier to find, and solve common issues with discovering new data sets and engaging in interdisciplinary research. There is a tremendous opportunity for advancing scientific knowledge and helping the public benefit from that work by creating intuitive, interactive, and powerful tools and resources for generating knowledge. The pathway to achieving that is through building a detailed understanding of users and their needs, then using this knowledge to inform the design of the data products, tools, and services scientists and non-scientists use to do their work.

Current status and future perspectives of electron interactions with molecules, clusters, surfaces, and interfaces [Workshop on Fundamental challenges in electron-driven chemistry; Workshop on Electron-driven processes: Scientific challenges and technological opportunities

DOE Office of Scientific and Technical Information (OSTI.GOV)

Becker, Kurt H.; McCurdy, C. William; Orlando, Thomas M.

2000-09-01

This report is based largely on presentations and discussions at two workshops and contributions from workshop participants. The workshop on Fundamental Challenges in Electron-Driven Chemistry was held in Berkeley, October 9-10, 1998, and addressed questions regarding theory, computation, and simulation. The workshop on Electron-Driven Processes: Scientific Challenges and Technological Opportunities was held at Stevens Institute of Technology, March 16-17, 2000, and focused largely on experiments. Electron-molecule and electron-atom collisions initiate and drive almost all the relevant chemical processes associated with radiation chemistry, environmental chemistry, stability of waste repositories, plasma-enhanced chemical vapor deposition, plasma processing of materials for microelectronic devices andmore » other applications, and novel light sources for research purposes (e.g. excimer lamps in the extreme ultraviolet) and in everyday lighting applications. The life sciences are a rapidly advancing field where the important role of electron-driven processes is only now beginning to be recognized. Many of the applications of electron-initiated chemical processes require results in the near term. A large-scale, multidisciplinary and collaborative effort should be mounted to solve these problems in a timely way so that their solution will have the needed impact on the urgent questions of understanding the physico-chemical processes initiated and driven by electron interactions.« less

Science in the regulatory setting: a challenging but incompatible mix?

PubMed

Yetley, Elizabeth A

2007-01-01

Regulatory decisions informed by sound science have an important role in many regulatory applications involving drugs and foods, including applications related to dietary supplements. However, science is only one of many factors that must be taken into account in the regulatory decision-making process. In many cases, the scientific input to a regulatory decision must compete with other factors (e.g. economics, legal requirements, stakeholder interests) for impact on the resultant policy decision. Therefore, timely and effective articulation of the available science to support a regulatory decision can significantly affect the relative weight given to science. However, the incorporation of science into the regulatory process for dietary supplements is often fraught with challenges. The available scientific evidence has rarely been designed for the purpose of addressing regulatory questions and is often preliminary and of widely varying scientific quality. To add to the confusion, the same scientific evidence may result in what appears to be different regulatory decisions because the context in which the science is used differs. The underlying assumption is that scientists who have a basic understanding of the interface between science and policy decisions can more effectively provide scientific input into these decisions.

Linking Automated Data Analysis and Visualization with Applications in Developmental Biology and High-Energy Physics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ruebel, Oliver

2009-11-20

Knowledge discovery from large and complex collections of today's scientific datasets is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the increasing number of data dimensions and data objects is presenting tremendous challenges for data analysis and effective data exploration methods and tools. Researchers are overwhelmed with data and standard tools are often insufficient to enable effective data analysis and knowledge discovery. The main objective of this thesis is to provide important new capabilities to accelerate scientific knowledge discovery form large, complex, and multivariate scientific data. The research coveredmore » in this thesis addresses these scientific challenges using a combination of scientific visualization, information visualization, automated data analysis, and other enabling technologies, such as efficient data management. The effectiveness of the proposed analysis methods is demonstrated via applications in two distinct scientific research fields, namely developmental biology and high-energy physics.Advances in microscopy, image analysis, and embryo registration enable for the first time measurement of gene expression at cellular resolution for entire organisms. Analysis of high-dimensional spatial gene expression datasets is a challenging task. By integrating data clustering and visualization, analysis of complex, time-varying, spatial gene expression patterns and their formation becomes possible. The analysis framework MATLAB and the visualization have been integrated, making advanced analysis tools accessible to biologist and enabling bioinformatic researchers to directly integrate their analysis with the visualization. Laser wakefield particle accelerators (LWFAs) promise to be a new compact source of high-energy particles and radiation, with wide applications ranging from medicine to physics. To gain insight into the complex physical processes of particle acceleration, physicists model LWFAs computationally. The datasets produced by LWFA simulations are (i) extremely large, (ii) of varying spatial and temporal resolution, (iii) heterogeneous, and (iv) high-dimensional, making analysis and knowledge discovery from complex LWFA simulation data a challenging task. To address these challenges this thesis describes the integration of the visualization system VisIt and the state-of-the-art index/query system FastBit, enabling interactive visual exploration of extremely large three-dimensional particle datasets. Researchers are especially interested in beams of high-energy particles formed during the course of a simulation. This thesis describes novel methods for automatic detection and analysis of particle beams enabling a more accurate and efficient data analysis process. By integrating these automated analysis methods with visualization, this research enables more accurate, efficient, and effective analysis of LWFA simulation data than previously possible.« less

Applications and Methods Utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for Bioinformatics Resource Discovery and Disparate Data and Service Integration

USDA-ARS?s Scientific Manuscript database

Scientific data integration and computational service discovery are challenges for the bioinformatic community. This process is made more difficult by the separate and independent construction of biological databases, which makes the exchange of scientific data between information resources difficu...

78 FR 54655 - Center for Devices and Radiological Health: Draft Standard Operating Procedure for Level 1...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-05

... Devices and Radiological Health's (CDRH's or the Center's) draft process to clarify and more quickly inform stakeholders when CDRH has changed its expectations relating to, or otherwise has new scientific... scientific information changes CDRH's regulatory thinking, it has been challenging for the Center to...

Visualization and Enabling Science at PO.DAAC

NASA Astrophysics Data System (ADS)

Tauer, E.; To, C.

2017-12-01

Facilitating the identification of appropriate data for scientific inquiry is important for efficient progress, but mechanisms for that identification vary, as does the effectiveness of those mechanisms. Appropriately crafted visualizations provide the means to quickly assess science data and scientific features, but providing the right visualization to the right application can present challenges. Even greater is the challenge of generating and/or re-constituting visualizations on the fly, particularly for large datasets. One avenue to mitigate the challenge is to arrive at an optimized intermediate data format that is tuned for rapid processing without sacrificing the provenance trace back to the original source data. This presentation will discuss the results of trading several current approaches towards an intermediate data format, and suggest a list of key attributes that will facilitate rapid visualization, and in the process, facilitate the identification of the right data for a given application.

Developing an Understanding of Ions in Junior Secondary School Chemistry

ERIC Educational Resources Information Center

Waldrip, Bruce; Prain, Vaughan

2012-01-01

There is growing research interest in the challenges and opportunities learners face in representing scientific understandings, processes and reasoning. These challenges include integrating verbal, visual and mathematical modes in science discourse to make strong conceptual links between representations and classroom experiences. Our paper reports…

Processing Challenges and Opportunities of Camel Dairy Products

PubMed Central

Seifu, Eyassu; Ipsen, Richard; Kurtu, Mohamed Y.; Hansen, Egon Bech

2017-01-01

A review on the challenges and opportunities of processing camel milk into dairy products is provided with an objective of exploring the challenges of processing and assessing the opportunities for developing functional products from camel milk. The gross composition of camel milk is similar to bovine milk. Nonetheless, the relative composition, distribution, and the molecular structure of the milk components are reported to be different. Consequently, manufacturing of camel dairy products such as cheese, yoghurt, or butter using the same technology as for dairy products from bovine milk can result in processing difficulties and products of inferior quality. However, scientific evidence points to the possibility of transforming camel milk into products by optimization of the processing parameters. Additionally, camel milk has traditionally been used for its medicinal values and recent scientific studies confirm that it is a rich source of bioactive, antimicrobial, and antioxidant substances. The current literature concerning product design and functional potential of camel milk is fragmented in terms of time, place, and depth of the research. Therefore, it is essential to understand the fundamental features of camel milk and initiate detailed multidisciplinary research to fully explore and utilize its functional and technological properties. PMID:29109953

Proceedings of the First International Linked Science Workshop

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pouchard, Line Catherine; Kauppinnen, Tomi; Kessler, Carsten

2011-01-01

Scientific efforts are traditionally published only as articles, with an estimate of millions of publications worldwide per year; the growth rate of PubMed alone is now 1 papers per minute. The validation of scientific results requires reproducible methods, which can only be achieved if the same data, processes, and algorithms as those used in the original experiments were available. However, the problem is that although publications, methods and datasets are very related, they are not always openly accessible and interlinked. Even where data is discoverable, accessible and assessable, significant challenges remain in the reuse of the data, in particular facilitatingmore » the necessary correlation, integration and synthesis of data across levels of theory, techniques and disciplines. In the LISC 2011 (1st International Workshop on Linked Science) we will discuss and present results of new ways of publishing, sharing, linking, and analyzing such scientific resources motivated by driving scientific requirements, as well as reasoning over the data to discover interesting new links and scientific insights. Making entities identifiable and referenceable using URIs augmented by semantic, scientifically relevant annotations greatly facilitates access and retrieval for data which used to be hardly accessible. This Linked Science approach, i.e., publishing, sharing and interlinking scientific resources and data, is of particular importance for scientific research, where sharing is crucial for facilitating reproducibility and collaboration within and across disciplines. This integrated process, however, has not been established yet. Bibliographic contents are still regarded as the main scientific product, and associated data, models and software are either not published at all, or published in separate places, often with no reference to the respective paper. In the workshop we will discuss whether and how new emerging technologies (Linked Data, and semantic technologies more generally) can realize the vision of Linked Science. We see that this depends on their enabling capability throughout the research process, leading up to extended publications and data sharing environments. Our workshop aims to address challenges related to enabling the easy creation of data bundles - data, processes, tools, provenance and annotation - supporting both publication and reuse of the data. Secondly, we look for tools and methods for the easy correlation, integration and synthesis of shared data. This problem is often found in many disciplines (including astronomy, biology, geosciences, cultural heritage, earth, climate, environmental and ecological sciences and impacts etc.), as they need to span techniques, levels of theory, scales, and disciplines. With the advent of Linked Science, it is timely and crucial to address these identified research challenges through both practical and formal approaches.« less

Communicating Scientific Research to Non-Specialists

NASA Astrophysics Data System (ADS)

Holman, Megan

Public outreach to effectively communicate current scientific advances is an essential component of the scientific process. The challenge in making this information accessible is forming a clear, accurate, and concise version of the information from a variety of different sources, so that the information is understandable and compelling to non-specialists in the general public. We are preparing a magazine article about planetary system formation. This article will include background information about star formation and different theories and observations of planet formation to provide context. We will then discuss the latest research and theories describing how planetary systems may be forming in different areas of the universe. We demonstrate here the original professional-level scientific work alongside our public-level explanations and original graphics to demonstrate our editorial process.

Using a Simple "Escherichia Coli" Growth Curve Model to Teach the Scientific Method

ERIC Educational Resources Information Center

McKernan, Lisa N.

2015-01-01

The challenge of teaching in the sciences is not only conveying knowledge in the discipline, but also developing essential critical thinking, data analysis, and scientific writing skills. I outline an exercise that can be done easily as part of a microbiology laboratory course. It teaches the nature of the research process, from asking questions…

NEW DIRECTIONS AND CHALLENGES FOR THE COMMUNITY EARTH SYSTEM MODELIn this talk, we will discuss the upcoming release of CESM2 and the challenges encountered in the process. We will then discuss upcoming new opportunities in development and applications of Earth System Models

NASA Astrophysics Data System (ADS)

Lamarque, J. F.

2016-12-01

In this talk, we will discuss the upcoming release of CESM2 and the computational and scientific challenges encountered in the process. We will then discuss upcoming new opportunities in development and applications of Earth System Models; in particular, we will discuss additional ways in which the university community can contribute to CESM.

Assessing and Adapting Scientific Results for Space Weather Research to Operations (R2O)

NASA Astrophysics Data System (ADS)

Thompson, B. J.; Friedl, L.; Halford, A. J.; Mays, M. L.; Pulkkinen, A. A.; Singer, H. J.; Stehr, J. W.

2017-12-01

Why doesn't a solid scientific paper necessarily result in a tangible improvement in space weather capability? A well-known challenge in space weather forecasting is investing effort to turn the results of basic scientific research into operational knowledge. This process is commonly known as "Research to Operations," abbreviated R2O. There are several aspects of this process: 1) How relevant is the scientific result to a particular space weather process? 2) If fully utilized, how much will that result improve the reliability of the forecast for the associated process? 3) How much effort will this transition require? Is it already in a relatively usable form, or will it require a great deal of adaptation? 4) How much burden will be placed on forecasters? Is it "plug-and-play" or will it require effort to operate? 5) How can robust space weather forecasting identify challenges for new research? This presentation will cover several approaches that have potential utility in assessing scientific results for use in space weather research. The demonstration of utility is the first step, relating to the establishment of metrics to ensure that there will be a clear benefit to the end user. The presentation will then move to means of determining cost vs. benefit, (where cost involves the full effort required to transition the science to forecasting, and benefit concerns the improvement of forecast reliability), and conclude with a discussion of the role of end users and forecasters in driving further innovation via "O2R."

Data Crosscutting Requirements Review

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kleese van Dam, Kerstin; Shoshani, Arie; Plata, Charity

2013-04-01

In April 2013, a diverse group of researchers from the U.S. Department of Energy (DOE) scientific community assembled to assess data requirements associated with DOE-sponsored scientific facilities and large-scale experiments. Participants in the review included facilities staff, program managers, and scientific experts from the offices of Basic Energy Sciences, Biological and Environmental Research, High Energy Physics, and Advanced Scientific Computing Research. As part of the meeting, review participants discussed key issues associated with three distinct aspects of the data challenge: 1) processing, 2) management, and 3) analysis. These discussions identified commonalities and differences among the needs of varied scientific communities.more » They also helped to articulate gaps between current approaches and future needs, as well as the research advances that will be required to close these gaps. Moreover, the review provided a rare opportunity for experts from across the Office of Science to learn about their collective expertise, challenges, and opportunities. The "Data Crosscutting Requirements Review" generated specific findings and recommendations for addressing large-scale data crosscutting requirements.« less

New Results and Insight into Tropospheric Composition - (TES) Tropospheric Emission Spectrometer

NASA Technical Reports Server (NTRS)

Gunson, Michael R.; Eldering, Annmarie

2006-01-01

This viewgraph presentation describes the scientific challenges along with the chemical and dynamic processes that govern tropospheric ozone. The contents include: 1) The challenge and why; 2) The how to do 'it'; 3) Did 'it' work; 4) What we are trying to do with 'it'; 5) What else is happening; and 6) What next.

Biological network extraction from scientific literature: state of the art and challenges.

PubMed

Li, Chen; Liakata, Maria; Rebholz-Schuhmann, Dietrich

2014-09-01

Networks of molecular interactions explain complex biological processes, and all known information on molecular events is contained in a number of public repositories including the scientific literature. Metabolic and signalling pathways are often viewed separately, even though both types are composed of interactions involving proteins and other chemical entities. It is necessary to be able to combine data from all available resources to judge the functionality, complexity and completeness of any given network overall, but especially the full integration of relevant information from the scientific literature is still an ongoing and complex task. Currently, the text-mining research community is steadily moving towards processing the full body of the scientific literature by making use of rich linguistic features such as full text parsing, to extract biological interactions. The next step will be to combine these with information from scientific databases to support hypothesis generation for the discovery of new knowledge and the extension of biological networks. The generation of comprehensive networks requires technologies such as entity grounding, coordination resolution and co-reference resolution, which are not fully solved and are required to further improve the quality of results. Here, we analyse the state of the art for the extraction of network information from the scientific literature and the evaluation of extraction methods against reference corpora, discuss challenges involved and identify directions for future research. © The Author 2013. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Tracking Provenance of Earth Science Data

NASA Technical Reports Server (NTRS)

Tilmes, Curt; Yesha, Yelena; Halem, Milton

2010-01-01

Tremendous volumes of data have been captured, archived and analyzed. Sensors, algorithms and processing systems for transforming and analyzing the data are evolving over time. Web Portals and Services can create transient data sets on-demand. Data are transferred from organization to organization with additional transformations at every stage. Provenance in this context refers to the source of data and a record of the process that led to its current state. It encompasses the documentation of a variety of artifacts related to particular data. Provenance is important for understanding and using scientific datasets, and critical for independent confirmation of scientific results. Managing provenance throughout scientific data processing has gained interest lately and there are a variety of approaches. Large scale scientific datasets consisting of thousands to millions of individual data files and processes offer particular challenges. This paper uses the analogy of art history provenance to explore some of the concerns of applying provenance tracking to earth science data. It also illustrates some of the provenance issues with examples drawn from the Ozone Monitoring Instrument (OMI) Data Processing System (OMIDAPS) run at NASA's Goddard Space Flight Center by the first author.

An interfaces approach to TES ground data system processing design with the Science Investigator-led Processing System (SIPS)

NASA Technical Reports Server (NTRS)

Kurian, R.; Grifin, A.

2002-01-01

Developing production-quality software to process the large volumes of scientific data is the responsibility of the TES Ground Data System, which is being developed at the Jet Propulsion Laboratory together with support contractor Raytheon/ITSS. The large data volume and processing requirements of the TES pose significant challenges to the design.

Sciencewise: Discovering Scientific Process through Problem Solving. Book 2.

ERIC Educational Resources Information Center

Holley, Dennis

This book of activities uses problem solving to help students develop the basic science process skills of observing, predicting, designing/experimenting, eliminating, and drawing conclusions. The activities are divided into two sections: Dynamo Demos and Creative Challenges. The teacher-led Dynamo Demos help students to develop science process…

Sciencewise: Discovering Scientific Process through Problem Solving. Book 1.

ERIC Educational Resources Information Center

Holley, Dennis

This book of activities uses problem solving to help students develop the basic science process skills of observing, predicting, designing/experimenting, eliminating, and drawing conclusions. The activities are divided into two sections: Dynamo Demos and Creative Challenges. The teacher-led Dynamo Demos help students to develop science process…

Curriculum Alignment with Vision and Change Improves Student Scientific Literacy

PubMed Central

Auerbach, Anna Jo; Schussler, Elisabeth E.

2017-01-01

The Vision and Change in Undergraduate Biology Education final report challenged institutions to reform their biology courses to focus on process skills and student active learning, among other recommendations. A large southeastern university implemented curricular changes to its majors’ introductory biology sequence in alignment with these recommendations. Discussion sections focused on developing student process skills were added to both lectures and a lab, and one semester of lab was removed. This curriculum was implemented using active-learning techniques paired with student collaboration. This study determined whether these changes resulted in a higher gain of student scientific literacy by conducting pre/posttesting of scientific literacy for two cohorts: students experiencing the unreformed curriculum and students experiencing the reformed curriculum. Retention of student scientific literacy for each cohort was also assessed 4 months later. At the end of the academic year, scientific literacy gains were significantly higher for students in the reformed curriculum (p = 0.005), with those students having double the scientific literacy gains of the cohort in the unreformed curriculum. Retention of scientific literacy did not differ between the cohorts. PMID:28495933

77 FR 52105 - Announcement of the Innovation in Arms Control Challenge Under the America Competes...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-28

...,'' with the goal of spurring innovation, and developing scientific and technological options that will... transparency efforts. Processes, incentives, and technologies must, in theory, be practical and implementable...

Fostering Scientific Literacy: Establishing Social Relevance via the Grand Challenges

NASA Astrophysics Data System (ADS)

Lyford, M. E.; Myers, J. D.; Buss, A.

2010-12-01

Numerous studies and polls suggest the general public’s understanding of science and scientific literacy remain woefully inadequate despite repeated calls for improvement over the last 150 years. This inability to improve scientific literacy significantly is a complex problem likely driven by a number of factors. However, we argue that past calls and efforts for improving scientific literacy have failed to: 1) articulate a truly meaningful justification for society to foster a scientifically literate public; 2) provide a rationale that motivates individuals of diverse backgrounds to become scientifically literate; 3) consider the impact of personal perspective, e.g. values, beliefs, attitudes, etc., on learning; and 4) offer a relevant and manageable framework in which to define scientific literacy. For instance, past calls for improving scientific literacy, e.g. the U.S. is behind the Soviets in the space race, U.S students rank below country X in math and science, etc., have lacked justification, personal motivation and a comprehensive framework for defining scientific literacy. In these cases, the primary justification for improving science education and scientific literacy was to regain international dominance in the space race or to advance global standing according to test results. These types of calls also articulate short-term goals that are rendered moot once they have been achieved. At the same time, teaching practices have commonly failed to consider the perspectives students bring to the classroom. Many STEM faculty do not address issues of personal perspective through ignorance or the desire to avoid controversial subjects, e g. evolution, climate change. We propose that the ‘grand challenges’ (e.g., energy, climate change, antibacterial resistance, water, etc.) humankind currently faces provides a compelling framework for developing courses and curricula well-suited for improving scientific literacy. A grand challenge paradigm offers four distinct advantages. First, it defines an enduring and meaningful rationale for society to invest resources in educational programs that promote scientific literacy. Second, it provides an educational context designed to engage individuals and motivate them to learn. Third, the nature of grand challenges provides mechanisms for addressing other affective barriers to individual learning that are commonly associated with controversial science-societal issues. Fourth, a grand challenge approach provides a framework to identify the concepts and processes of science a scientifically literate person should understand. Based on our experiences, we propose grand challenge science literacy (GCSL) courses or curricula are based on two primary foundations: the nature of science and the unifying concepts of science. Complementing this foundation is the science necessary to understand the grand challenge. To illustrate how science can contribute to crafting a just, equitable and sustainable solution, a GCSL course must also incorporate non-STEM perspectives, e.g. economics, politics. Finally, the personal perspectives learners bring to the classroom must be explicitly considered throughout the course.

Citizen science in hydrology and water resources: opportunities for knowledge generation, ecosystem service management, and sustainable development

NASA Astrophysics Data System (ADS)

Buytaert, Wouter; Zulkafli, Zed; Grainger, Sam; Acosta, Luis; Bastiaensen, Johan; De Bièvre, Bert; Bhusal, Jagat; Chanie, Tilashwork; Clark, Julian; Dewulf, Art; Foggin, Marc; Hannah, David; Hergarten, Christian; Isaeva, Aiganysh; Karpouzoglou, Timos; Pandey, Bhopal; Paudel, Deepak; Sharma, Keshav; Steenhuis, Tammo; Tilahun, Seifu; Van Hecken, Gert; Zhumanova, Munavar

2014-10-01

The participation of the general public in the research design, data collection and interpretation process together with scientists is often referred to as citizen science. While citizen science itself has existed since the start of scientific practice, developments in sensing technology, data processing and visualisation, and communication of ideas and results, are creating a wide range of new opportunities for public participation in scientific research. This paper reviews the state of citizen science in a hydrological context and explores the potential of citizen science to complement more traditional ways of scientific data collection and knowledge generation for hydrological sciences and water resources management. Although hydrological data collection often involves advanced technology, the advent of robust, cheap and low-maintenance sensing equipment provides unprecedented opportunities for data collection in a citizen science context. These data have a significant potential to create new hydrological knowledge, especially in relation to the characterisation of process heterogeneity, remote regions, and human impacts on the water cycle. However, the nature and quality of data collected in citizen science experiments is potentially very different from those of traditional monitoring networks. This poses challenges in terms of their processing, interpretation, and use, especially with regard to assimilation of traditional knowledge, the quantification of uncertainties, and their role in decision support. It also requires care in designing citizen science projects such that the generated data complement optimally other available knowledge. Lastly, we reflect on the challenges and opportunities in the integration of hydrologically-oriented citizen science in water resources management, the role of scientific knowledge in the decision-making process, and the potential contestation to established community institutions posed by co-generation of new knowledge.

Use of new scientific developments in regulatory risk assessments: challenges and opportunities.

PubMed

Tarazona, Jose V

2013-07-01

Since the 1990s, science based ecological risk assessments constitute an essential tool for supporting decision making in the regulatory context. Using the European REACH Regulation as example, this article presents the challenges and opportunities for new scientific developments within the area of chemical control and environmental protection. These challenges can be sorted out in 3 main related topics (sets). In the short term, the challenges are directly associated with the regulatory requirements, required for facilitating a scientifically sound implementation of the different obligations for industry and authorities. It is important to mention that although the actual tools are different due to the regulatory requirements, the basic needs are still the same as those addressed in the early 1990s: understanding the ecological relevance of the predicted effects, including the uncertainty, and facilitating the link with the socio-economic assessment. The second set of challenges covers the opportunities for getting an added value from the regulatory efforts. The information compiled through REACH registration and notification processes is analyzed as source for new integrative developments for assessing the combined chemical risk at the regional level. Finally, the article discusses the challenge of inverting the process and developing risk assessment methods focusing on the receptor, the individual or ecosystem, instead of on the stressor or source. These approaches were limited in the past due to the lack of information, but the identification and dissemination of standard information, including uses, manufacturing sites, physical-chemical, environmental, ecotoxicological, and toxicological properties as well as operational conditions and risk management measures for thousands of chemicals, combined by the knowledge gathered through large scale monitoring programs and spatial information systems is generating new opportunities. The challenge is liking predictions and measured data in an integral "-omic type" approach, considering collectively data from different sources and offering a complete assessment of the chemical risk of individuals and ecosystems, with new conceptual approaches that could be defined as "risk-omics based" paradigms and models. Copyright © 2013 SETAC.

Evaluating non-relational storage technology for HEP metadata and meta-data catalog

NASA Astrophysics Data System (ADS)

Grigorieva, M. A.; Golosova, M. V.; Gubin, M. Y.; Klimentov, A. A.; Osipova, V. V.; Ryabinkin, E. A.

2016-10-01

Large-scale scientific experiments produce vast volumes of data. These data are stored, processed and analyzed in a distributed computing environment. The life cycle of experiment is managed by specialized software like Distributed Data Management and Workload Management Systems. In order to be interpreted and mined, experimental data must be accompanied by auxiliary metadata, which are recorded at each data processing step. Metadata describes scientific data and represent scientific objects or results of scientific experiments, allowing them to be shared by various applications, to be recorded in databases or published via Web. Processing and analysis of constantly growing volume of auxiliary metadata is a challenging task, not simpler than the management and processing of experimental data itself. Furthermore, metadata sources are often loosely coupled and potentially may lead to an end-user inconsistency in combined information queries. To aggregate and synthesize a range of primary metadata sources, and enhance them with flexible schema-less addition of aggregated data, we are developing the Data Knowledge Base architecture serving as the intelligence behind GUIs and APIs.

Assessing Inquiry Process Skills in the Lab Using a Fast, Simple, Inexpensive Fermentation Model System

ERIC Educational Resources Information Center

Knabb, Maureen T.; Misquith, Geraldine

2006-01-01

Incorporating inquiry-based learning in the college-level introductory biology laboratory is challenging because the labs serve the dual purpose of providing a hands-on opportunity to explore content while also emphasizing the development of scientific process skills. Time limitations and variations in student preparedness for college further…

From the Analysis of Work-Processes to Designing Competence-Based Occupational Standards and Vocational Curricula

ERIC Educational Resources Information Center

Tutlys, Vidmantas; Spöttl, Georg

2017-01-01

Purpose: This paper aims to explore methodological and institutional challenges on application of the work-process analysis approach in the design and development of competence-based occupational standards for Lithuania. Design/methodology/approach: The theoretical analysis is based on the review of scientific literature and the analysis of…

The Development of Scientific Communication Skills: A Qualitative Study of the Perceptions of Trainees and Their Mentors

PubMed Central

Cameron, Carrie; Collie, Candice L.; Baldwin, Constance D.; Bartholomew, L. Kay; Palmer, J. Lynn; Greer, Marilyn; Chang, Shine

2013-01-01

Purpose Scientific communication, both written and oral, is the cornerstone of success in biomedical research, yet formal instruction is rarely provided. Trainees with little exposure to Standard Academic English may find developing scientific communication skills challenging. In this exploratory, hypothesis-generating qualitative study, the authors examined the process by which mentored junior researchers learn scientific communication skills, their feelings about the challenges, and their mentor’s role in the process. Method In 2010, the authors conducted semi-structured focus groups and interviews to explore research trainees’ and faculty mentors’ perceptions and practices regarding scientific communication skills development, as part of the development phase of a larger quantitative study. The facilitator took detailed notes and verified their accuracy with participants during the sessions; a second member of the research team observed and verified the recorded notes. Three coders performed a thematic analysis, and the other authors reviewed it. Results Forty-three trainees and 50 mentors participated. Trainees and mentors had diverging views on the role of mentoring in fostering communication skills development. Trainees expressed varying levels of self-confidence but considerable angst. Mentors felt that most trainees have low self-confidence. Trainees expressed interest in learning scientific communication skills, but mentors reported that some trainees were insufficiently motivated and seemed resistant to guidance. Both groups agreed that trainees found mentors’ feedback difficult to accept. Conclusions The degree of distress, dissatisfaction, and lack of mutual understanding between mentors and trainees was striking. These themes have important implications for best practices and resource development. PMID:23969363

Test Driven Development of Scientific Models

NASA Technical Reports Server (NTRS)

Clune, Thomas L.

2014-01-01

Test-Driven Development (TDD), a software development process that promises many advantages for developer productivity and software reliability, has become widely accepted among professional software engineers. As the name suggests, TDD practitioners alternate between writing short automated tests and producing code that passes those tests. Although this overly simplified description will undoubtedly sound prohibitively burdensome to many uninitiated developers, the advent of powerful unit-testing frameworks greatly reduces the effort required to produce and routinely execute suites of tests. By testimony, many developers find TDD to be addicting after only a few days of exposure, and find it unthinkable to return to previous practices.After a brief overview of the TDD process and my experience in applying the methodology for development activities at Goddard, I will delve more deeply into some of the challenges that are posed by numerical and scientific software as well as tools and implementation approaches that should address those challenges.

Post-genomic science: cross-disciplinary and large-scale collaborative research and its organizational and technological challenges for the scientific research process.

PubMed

Welsh, Elaine; Jirotka, Marina; Gavaghan, David

2006-06-15

We examine recent developments in cross-disciplinary science and contend that a 'Big Science' approach is increasingly evident in the life sciences-facilitated by a breakdown of the traditional barriers between academic disciplines and the application of technologies across these disciplines. The first fruits of 'Big Biology' are beginning to be seen in, for example, genomics, (bio)-nanotechnology and systems biology. We suggest that this has profound implications for the research process and presents challenges both in technological design, in the provision of infrastructure and training, in the organization of research groups, and in providing suitable research funding mechanisms and reward systems. These challenges need to be addressed if the promise of this approach is to be fully realized. In this paper, we will draw on the work of social scientists to understand how these developments in science and technology relate to organizational culture, organizational change and the context of scientific work. We seek to learn from previous technological developments that seemed to offer similar potential for organizational and social change.

The Changing Earth Science Network- Projects and Results from the First Call

NASA Astrophysics Data System (ADS)

Dransfeld, Steffen; Fernandez, Diego; Doron, Maeva; Martinez, Elodie; Shutler, Jamie; Papandrea, Enzo; Biggs, Juliet; Dagestad, Knut-Frode; Palazzi, Elisa; Garcia-Comas, Maya; de Graaf, Martin; Schneising, Oliver; Pavon, Patricia Oliva

2010-12-01

To better understand the different processes and interactions that govern the earth system and to determine whether recent human-induced changes could ultimately de-stabilise its dynamics, both natural system variability and the consequences of human activities have to be observed and quantified. In this context, the European Space Agency published in 2006 "The Changing Earth: New Scientific Challenges for ESA's living Planet Programme" as the main driver of ESA's new EO science strategy. The document outlines 25 major scientific challenges covering all the different aspects of the Earth system, where EO technology and ESA missions may provide a key contribution. In this context, and responding to a request from ESAC (Earth Science Advisory Committee) to enhance the ESA scientific support towards the achievement of "The Challenges", the Agency has launched the Changing Earth Science Network as an important programmatic component of the new Support To Science Element (STSE) of the Earth Observation Envelope Programme (EOEP). In this paper we summarize the objectives of this initive and provide a review of the first projects that were selected in 2009 and are now generating their first results.

"Do I need to know this for the exam?" Using popular media, inquiry-based laboratories, and a community of scientific practice to motivate students to learn developmental biology.

PubMed

Madhuri, Marga; Broussard, Christine

2008-01-01

One of the greatest challenges instructors face is getting students to connect with the subject in a manner that encourages them to learn. In this essay, we describe the redesign of our Developmental Biology course to foster a deeper connection between students and the field of developmental biology. In our approach, we created a community of scientific practice focused on the investigation of environmental impacts on embryonic development and informed by popular and scientific media, the students' own questions, and the instructor. Our goals were to engage students in meaningful ways with the material, to develop students' science process skills, and to enhance students' understanding of broad principles of developmental biology. Though significant challenges arose during implementation, assessments indicate using this approach to teach undergraduate developmental biology was successful.

Contemporary HIV/AIDS research: Insights from knowledge management theory.

PubMed

Callaghan, Chris William

2017-12-01

Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn's paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the 'crowd,' thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition of the important role of social theory in the scientific research process.

Challenges associated with the implementation of the nursing process: A systematic review.

PubMed

Zamanzadeh, Vahid; Valizadeh, Leila; Tabrizi, Faranak Jabbarzadeh; Behshid, Mojghan; Lotfi, Mojghan

2015-01-01

Nursing process is a scientific approach in the provision of qualified nursing cares. However, in practice, the implementation of this process is faced with numerous challenges. With the knowledge of the challenges associated with the implementation of the nursing process, the nursing processes can be developed appropriately. Due to the lack of comprehensive information on this subject, the current study was carried out to assess the key challenges associated with the implementation of the nursing process. To achieve and review related studies on this field, databases of Iran medix, SID, Magiran, PUBMED, Google scholar, and Proquest were assessed using the main keywords of nursing process and nursing process systematic review. The articles were retrieved in three steps including searching by keywords, review of the proceedings based on inclusion criteria, and final retrieval and assessment of available full texts. Systematic assessment of the articles showed different challenges in implementation of the nursing process. Intangible understanding of the concept of nursing process, different views of the process, lack of knowledge and awareness among nurses related to the execution of process, supports of managing systems, and problems related to recording the nursing process were the main challenges that were extracted from review of literature. On systematically reviewing the literature, intangible understanding of the concept of nursing process has been identified as the main challenge in nursing process. To achieve the best strategy to minimize the challenge, in addition to preparing facilitators for implementation of nursing process, intangible understanding of the concept of nursing process, different views of the process, and forming teams of experts in nursing education are recommended for internalizing the nursing process among nurses.

Challenges associated with the implementation of the nursing process: A systematic review

PubMed Central

Zamanzadeh, Vahid; Valizadeh, Leila; Tabrizi, Faranak Jabbarzadeh; Behshid, Mojghan; Lotfi, Mojghan

2015-01-01

Background: Nursing process is a scientific approach in the provision of qualified nursing cares. However, in practice, the implementation of this process is faced with numerous challenges. With the knowledge of the challenges associated with the implementation of the nursing process, the nursing processes can be developed appropriately. Due to the lack of comprehensive information on this subject, the current study was carried out to assess the key challenges associated with the implementation of the nursing process. Materials and Methods: To achieve and review related studies on this field, databases of Iran medix, SID, Magiran, PUBMED, Google scholar, and Proquest were assessed using the main keywords of nursing process and nursing process systematic review. The articles were retrieved in three steps including searching by keywords, review of the proceedings based on inclusion criteria, and final retrieval and assessment of available full texts. Results: Systematic assessment of the articles showed different challenges in implementation of the nursing process. Intangible understanding of the concept of nursing process, different views of the process, lack of knowledge and awareness among nurses related to the execution of process, supports of managing systems, and problems related to recording the nursing process were the main challenges that were extracted from review of literature. Conclusions: On systematically reviewing the literature, intangible understanding of the concept of nursing process has been identified as the main challenge in nursing process. To achieve the best strategy to minimize the challenge, in addition to preparing facilitators for implementation of nursing process, intangible understanding of the concept of nursing process, different views of the process, and forming teams of experts in nursing education are recommended for internalizing the nursing process among nurses. PMID:26257793

Adjusting process count on demand for petascale global optimization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sosonkina, Masha; Watson, Layne T.; Radcliffe, Nicholas R.

2012-11-23

There are many challenges that need to be met before efficient and reliable computation at the petascale is possible. Many scientific and engineering codes running at the petascale are likely to be memory intensive, which makes thrashing a serious problem for many petascale applications. One way to overcome this challenge is to use a dynamic number of processes, so that the total amount of memory available for the computation can be increased on demand. This paper describes modifications made to the massively parallel global optimization code pVTdirect in order to allow for a dynamic number of processes. In particular, themore » modified version of the code monitors memory use and spawns new processes if the amount of available memory is determined to be insufficient. The primary design challenges are discussed, and performance results are presented and analyzed.« less

Using an evidence-based approach for system selection at a large academic medical center: lessons learned in selecting an ambulatory EMR at Mount Sinai Hospital.

PubMed

Kannry, Joseph; Mukani, Sonia; Myers, Kristin

2006-01-01

The experience of Mount Sinai Hospital is representative of the challenges and problems facing large academic medical centers in selecting an ambulatory EMR. The facility successfully revived a stalled process in a challenging financial climate, using a framework of science and rigorous investigation. The process incorporated several innovations: 1) There was a thorough review of medical informatics literature to develop a mission statement, determine practical objectives and guide the demonstration process; 2) The process involved rigorous investigation of vendor statements, industry statements and other institution's views of vendors; 3) The initiative focused on user-centric selection, and the survey instrument was scientifically and specifically designed to assess user feedback; 4) There was scientific analysis of validated findings and survey results at all steering meetings; 5) The process included an assessment of vendors' ability to support research by identifying funded and published research; 6) Selection involved meticulous total cost of ownership analysis to assess and compare real costs of implementing a vendor solution; and finally, 7) There were iterative meetings with stakeholders, executives and users to understand needs, address concerns and communicate the vision.

On the Cutting Edge of Research to Conserve At-Risk Species: Maximizing Impact through Partnerships.

PubMed

Marquardt, Shauna R; Annis, Mandy; Drum, Ryan G; Hummel, Stephanie Longstaff; Mosby, David E; Smith, Tamara

2018-04-25

Today's conservation challenges are complex. Solving these challenges often requires scientific collaborations that extend beyond the scope, expertise, and capacity of any single agency, organization, or institution. Conservation efforts can benefit from interdisciplinary collaboration, scientific and technological innovations, and the leveraging of capacity and resources among partners. Here we explore a series of case studies demonstrating how collaborative scientific partnerships are furthering the mission of the U.S. Fish and Wildlife Service, including: 1) contaminants of emerging concern in the Great Lakes Basin, 2) Poweshiek skipperling conservation, 3) using technology to improve population survey methods for bats and monarch butterfly, and 4) Big River restoration in the Southeast Missouri lead mining district. These case studies illustrate how strategic and effective scientific collaboration is a multi-stage process that requires investment of time and resources by all participants. Early coordination and communication is crucial to aligning planned work with scientific and decision-making needs. Collaborations between USFWS and external scientists can be mutually beneficial by supporting the agency mission while also providing an avenue for innovative research to be directly applied in conservation decisions and management actions.

Process skills approach to develop primary students’ scientific literacy: A case study with low achieving students on water cycle

NASA Astrophysics Data System (ADS)

Suryanti; Ibrahim, M.; Lede, N. S.

2018-01-01

The results of the Program for International Student Assessment (PISA) study on the scientific literacy of Indonesian students since the year 2000 have been still far below the international average score of 500. This could also be seen from the results of the science literacy test of 5th-grade students of primary school in Indonesia which showed that 60% of students are still at level ≤ 3 (value < 500). The students’ science literacy skills need to be improved by applying learning with a process skills approach. This study aims to describe the findings of classroom action research using a process skills approach to the science literacy level of primary students (n = 23). This research was conducted in 2 cycles with stages of planning, implementation, observation, and reflection. Students’ ability in scientific literacy was measured by using description and subjective tests of context domains, knowledge, competencies, and attitudes. In this study, researchers found an improvement in students’ science literacy skills when learning using a process skills approach. In addition, students’ scientific attitude is also more positive. In activities for learning science, students should be challenged as often as possible so that they have more practice using their scientific knowledge and skills to solve problems presented by teachers in the classroom.

A practical approach for comparing management strategies in complex forest ecosystems using meta-modelling toolkits

Treesearch

Andrew Fall; B. Sturtevant; M.-J. Fortin; M. Papaik; F. Doyon; D. Morgan; K. Berninger; C. Messier

2010-01-01

The complexity and multi-scaled nature of forests poses significant challenges to understanding and management. Models can provide useful insights into process and their interactions, and implications of alternative management options. Most models, particularly scientific models, focus on a relatively small set of processes and are designed to operate within a...

Employing Inquiry-Based Computer Simulations and Embedded Scientist Videos to Teach Challenging Climate Change and Nature of Science Concepts

ERIC Educational Resources Information Center

Cohen, Edward Charles

2013-01-01

Design based research was utilized to investigate how students use a greenhouse effect simulation in order to derive best learning practices. During this process, students recognized the authentic scientific process involving computer simulations. The simulation used is embedded within an inquiry-based technology-mediated science curriculum known…

Scientific and social challenges for the management of fire-prone wildland-urban interfaces

NASA Astrophysics Data System (ADS)

Gill, A. Malcolm; Stephens, Scott L.

2009-09-01

At their worst, fires at the rural-urban or wildland-urban interface cause tragic loss of human lives and homes, but mitigating these fire effects through management elicits many social and scientific challenges. This paper addresses four interconnected management challenges posed by socially disastrous landscape fires. The issues concern various assets (particularly houses, human life and biodiversity), fuel treatments, and fire and human behaviours. The topics considered are: 'asset protection zones'; 'defensible space' and urban fire spread in relation to house ignition and loss; 'stay-or-go' policy and the prediction of time available for safe egress and the possible conflict between the creation of defensible space and wildland management objectives. The first scientific challenge is to model the effective width of an asset protection zone of an urban area. The second is to consider the effect of vegetation around a house, potentially defensible space, on fire arrival at the structure. The third scientific challenge is to present stakeholders with accurate information on rates of spread, and where the fire front is located, so as to allow them to plan safe egress or preparation time in their particular circumstances. The fourth scientific challenge is to be able to predict the effects of fires on wildland species composition. Associated with each scientific challenge is a social challenge: for the first two scientific challenges the social challenge is to co-ordinate fuel management within and between the urban and rural or wildland sides of the interface. For the third scientific challenge, the social challenge is to be aware of, and appropriately use, fire danger information so that the potential for safe egress from a home can be estimated most accurately. Finally, the fourth social challenge is to for local residents of wildland-urban interfaces with an interest in biodiversity conservation to understand the effects of fire regimes on biodiversity, thereby assisting hard-pressed wildland managers to make informed choices.

Herbal medicine research and global health: an ethical analysis.

PubMed

Tilburt, Jon C; Kaptchuk, Ted J

2008-08-01

Governments, international agencies and corporations are increasingly investing in traditional herbal medicine research. Yet little literature addresses ethical challenges in this research. In this paper, we apply concepts in a comprehensive ethical framework for clinical research to international traditional herbal medicine research. We examine in detail three key, underappreciated dimensions of the ethical framework in which particularly difficult questions arise for international herbal medicine research: social value, scientific validity and favourable risk-benefit ratio. Significant challenges exist in determining shared concepts of social value, scientific validity and favourable risk-benefit ratio across international research collaborations. However, we argue that collaborative partnership, including democratic deliberation, offers the context and process by which many of the ethical challenges in international herbal medicine research can, and should be, resolved. By "cross-training" investigators, and investing in safety-monitoring infrastructure, the issues identified by this comprehensive framework can promote ethically sound international herbal medicine research that contributes to global health.

Big, Deep, and Smart Data in Scanning Probe Microscopy.

PubMed

Kalinin, Sergei V; Strelcov, Evgheni; Belianinov, Alex; Somnath, Suhas; Vasudevan, Rama K; Lingerfelt, Eric J; Archibald, Richard K; Chen, Chaomei; Proksch, Roger; Laanait, Nouamane; Jesse, Stephen

2016-09-27

Scanning probe microscopy (SPM) techniques have opened the door to nanoscience and nanotechnology by enabling imaging and manipulation of the structure and functionality of matter at nanometer and atomic scales. Here, we analyze the scientific discovery process in SPM by following the information flow from the tip-surface junction, to knowledge adoption by the wider scientific community. We further discuss the challenges and opportunities offered by merging SPM with advanced data mining, visual analytics, and knowledge discovery technologies.

Observing, studying, and managing for change: Proceedings of the Fourth Interagency Conference on Research in the Watersheds

USGS Publications Warehouse

Medley, C. Nicholas; Patterson, Glenn; Parker, Melanie J.

2011-01-01

These proceedings contain the abstracts, manuscripts, and posters of presentations given at the Fourth Interagency Conference on Research in the Watersheds—Observing, Studying, and Managing for Change, held at the Westmark Hotel in Fairbanks, Alaska, September 26–30, 2011. The conference was jointly hosted by the Bureau of Land Management and the National Park Service.Watersheds face resource impacts driven by accelerated change related to land use, population, and climate. About every three years a conference is held to bring together watershed researchers, observers, and managers to share scientific advances and management strategies. This year, the Fourth ICRW took a wider perspective on watershed science and examined some pressing issues of watershed science and management in our largest and perhaps most vulnerable state, Alaska. The purpose of the conference was to better understand the processes driving change and help managers incorporate societal needs and scientific uncertainty in the management of natural resources.The conference echoed similar themes to the last, highlighting the challenges of managing watersheds based on available science when considerably uncertainty remains regarding the hypothesized relationships between observed environmental changes and their ultimate effects. For example, while the scientific case for anthropogenic climate change has been well presented, confirming possible cause and effect relationships between climatic change and physical and ecological impacts in highly variable, natural systems continues to represent a scientific challenge. This goal becomes even more difficult when superimposed upon a long history of natural resource and land management practices that have fundamentally changed the physical, chemical and biological processes important in maintaining naturally functioning ecosystems. Designing and implementing studies to better understand watersheds and clearly communicating the findings to decisionmakers will be the primary challenge for natural resource scientists and managers into the foreseeable future.

Using Collaborate Writing Groups in Undergraduate Courses to Improve Scientific Writing Skills and Confidence

NASA Astrophysics Data System (ADS)

Maclachlan, J. C.; Feist, S.

2016-12-01

Communication of primary scientific research is an aspect of undergraduate teaching that rarely researches platforms outside of the classroom. One method to encourage the dissemination of scientific findings to an international audience is the implementation of Collaborative Writing Groups (CWG). This paper will discuss the development, implementation and successful results of two Collaborative Writing Group creating within two different senior undergraduate classes offered at McMaster University in Hamilton, Ontario, Canada through discussion of the implementation of the assignment coupled with challenges and opportunities the process provided. A key to the successful implementation of the CWG is a detailed timeline for the students to follow with achievable goals throughout the process. The eight-week process began with students creating groups and choosing a topic of interest. As groups form it became apparent the diversity of academic skills and interest within the classroom made selecting a research project all group members could agree on difficult. Throughout the course students were given time to not only review their colleagues writing but also have discussions on particularly challenging aspects of their research and help in providing solutions. While the timeline for this project was ambitious it was necessary to allow time for effective feedback on the scientific writing from both the students and the instructional team. Overall this process has produced 11 peer-reviewed undergraduate student written papers within two special editions of the journal Cartographica published by the University of Toronto Press (Maclachlan and Lee, 2015). The papers topics are quite diverse including: the modelling of glacier melt in Iceland; a look into the effects of urban sprawl; and an exploration of the spatial characteristics of dunes in southern Ontario. This encouragement of dissemination to an international audience will create an experience that promotes self-authorship and challenges students to evaluate their knowledge claims and take ownership of their ideas. Maclachlan, J.C. & Lee, R.E. 2015. Student Collaborative Writing Groups: Mapping Glacial Geomorphology and Glacial Sedimentology. Cartographica, 50(3), pp. 163-164

Balancing consumer protection and scientific integrity in the face of uncertainty: the example of gluten-free foods.

PubMed

McCabe, Margaret Sova

2010-01-01

In 2009, gluten-free foods were not only "hot" in the marketplace, several countries, including the United States, continued efforts to define gluten-free and appropriate labeling parameters. The regulatory process illuminates how difficult regulations based on safe scientific thresholds can be for regulators, manufacturers and consumers. This article analyzes the gluten-free regulatory landscape, challenges to defining a safe gluten threshold, and how consumers might need more label information beyond the term "gluten-free." The article includes an overview of international gluten-free regulations, the Food and Drug Administration (FDA) rulemaking process, and issues for consumers.

Learning To Live with Complexity.

ERIC Educational Resources Information Center

Dosa, Marta

Neither the design of information systems and networks nor the delivery of library services can claim true user centricity without an understanding of the multifaceted psychological environment of users and potential users. The complexity of the political process, social problems, challenges to scientific inquiry, entrepreneurship, and…

Examining the "Whole Child" to Generate Usable Knowledge

ERIC Educational Resources Information Center

Rappolt-Schlichtmann, Gabrielle; Ayoub, Catherine C.; Gravel, Jenna W.

2009-01-01

Despite the promise of scientific knowledge contributing to issues facing vulnerable children, families, and communities, typical approaches to research have made applications challenging. While contemporary theories of human development offer appropriate complexity, research has mostly failed to address dynamic developmental processes. Research…

Provenance Challenges for Earth Science Dataset Publication

NASA Technical Reports Server (NTRS)

Tilmes, Curt

2011-01-01

Modern science is increasingly dependent on computational analysis of very large data sets. Organizing, referencing, publishing those data has become a complex problem. Published research that depends on such data often fails to cite the data in sufficient detail to allow an independent scientist to reproduce the original experiments and analyses. This paper explores some of the challenges related to data identification, equivalence and reproducibility in the domain of data intensive scientific processing. It will use the example of Earth Science satellite data, but the challenges also apply to other domains.

Iterative near-term ecological forecasting: Needs, opportunities, and challenges

USGS Publications Warehouse

Dietze, Michael C.; Fox, Andrew; Beck-Johnson, Lindsay; Betancourt, Julio L.; Hooten, Mevin B.; Jarnevich, Catherine S.; Keitt, Timothy H.; Kenney, Melissa A.; Laney, Christine M.; Larsen, Laurel G.; Loescher, Henry W.; Lunch, Claire K.; Pijanowski, Bryan; Randerson, James T.; Read, Emily; Tredennick, Andrew T.; Vargas, Rodrigo; Weathers, Kathleen C.; White, Ethan P.

2018-01-01

Two foundational questions about sustainability are “How are ecosystems and the services they provide going to change in the future?” and “How do human decisions affect these trajectories?” Answering these questions requires an ability to forecast ecological processes. Unfortunately, most ecological forecasts focus on centennial-scale climate responses, therefore neither meeting the needs of near-term (daily to decadal) environmental decision-making nor allowing comparison of specific, quantitative predictions to new observational data, one of the strongest tests of scientific theory. Near-term forecasts provide the opportunity to iteratively cycle between performing analyses and updating predictions in light of new evidence. This iterative process of gaining feedback, building experience, and correcting models and methods is critical for improving forecasts. Iterative, near-term forecasting will accelerate ecological research, make it more relevant to society, and inform sustainable decision-making under high uncertainty and adaptive management. Here, we identify the immediate scientific and societal needs, opportunities, and challenges for iterative near-term ecological forecasting. Over the past decade, data volume, variety, and accessibility have greatly increased, but challenges remain in interoperability, latency, and uncertainty quantification. Similarly, ecologists have made considerable advances in applying computational, informatic, and statistical methods, but opportunities exist for improving forecast-specific theory, methods, and cyberinfrastructure. Effective forecasting will also require changes in scientific training, culture, and institutions. The need to start forecasting is now; the time for making ecology more predictive is here, and learning by doing is the fastest route to drive the science forward.

Iterative near-term ecological forecasting: Needs, opportunities, and challenges.

PubMed

Dietze, Michael C; Fox, Andrew; Beck-Johnson, Lindsay M; Betancourt, Julio L; Hooten, Mevin B; Jarnevich, Catherine S; Keitt, Timothy H; Kenney, Melissa A; Laney, Christine M; Larsen, Laurel G; Loescher, Henry W; Lunch, Claire K; Pijanowski, Bryan C; Randerson, James T; Read, Emily K; Tredennick, Andrew T; Vargas, Rodrigo; Weathers, Kathleen C; White, Ethan P

2018-02-13

Two foundational questions about sustainability are "How are ecosystems and the services they provide going to change in the future?" and "How do human decisions affect these trajectories?" Answering these questions requires an ability to forecast ecological processes. Unfortunately, most ecological forecasts focus on centennial-scale climate responses, therefore neither meeting the needs of near-term (daily to decadal) environmental decision-making nor allowing comparison of specific, quantitative predictions to new observational data, one of the strongest tests of scientific theory. Near-term forecasts provide the opportunity to iteratively cycle between performing analyses and updating predictions in light of new evidence. This iterative process of gaining feedback, building experience, and correcting models and methods is critical for improving forecasts. Iterative, near-term forecasting will accelerate ecological research, make it more relevant to society, and inform sustainable decision-making under high uncertainty and adaptive management. Here, we identify the immediate scientific and societal needs, opportunities, and challenges for iterative near-term ecological forecasting. Over the past decade, data volume, variety, and accessibility have greatly increased, but challenges remain in interoperability, latency, and uncertainty quantification. Similarly, ecologists have made considerable advances in applying computational, informatic, and statistical methods, but opportunities exist for improving forecast-specific theory, methods, and cyberinfrastructure. Effective forecasting will also require changes in scientific training, culture, and institutions. The need to start forecasting is now; the time for making ecology more predictive is here, and learning by doing is the fastest route to drive the science forward.

Discovering Plate Boundaries in Data-integrated Environments: Preservice Teachers' Conceptualization and Implementation of Scientific Practices

NASA Astrophysics Data System (ADS)

Sezen-Barrie, Asli; Moore, Joel; Roig, Cara E.

2015-08-01

Drawn from the norms and rules of their fields, scientists use variety of practices, such as asking questions and arguing based on evidence, to engage in research that will contribute to our understanding of Earth and beyond. In this study, we explore how preservice teachers' learn to teach scientific practices while teaching plate tectonic theory. In particular, our aim is to observe which scientific practices preservice teachers use while teaching an earth science unit, how do they integrate these practices into their lessons, and what challenges do they face during their first time teaching of an earth science content area integrated with scientific practices. The study is designed as a qualitative, exploratory case study of seven preservice teachers while they were learning to teach plate tectonic theory to a group of middle school students. The data were driven from the video records and artifacts of the preservice teachers' learning and teaching processes as well as written reflections on the teaching. Intertextual discourse analysis was used to understand what scientific practices preservice teachers choose to integrate into their teaching experience. Our results showed that preservice teachers chose to focus on four aspects of scientific practices: (1) employing historical understanding of how the theory emerged, (2) encouraging the use of evidence to build up a theory, (3) observation and interpretation of data maps, and (4) collaborative practices in making up the theory. For each of these practices, we also looked at the common challenges faced by preservice teachers by using constant comparative analysis. We observed the practices that preservice teachers decided to use and the challenges they faced, which were determined by what might have come as in their personal history as learners. Therefore, in order to strengthen preservice teachers' background, college courses should be arranged to teach important scientific ideas through scientific practices. In addition, such practices should also reflect the authentic practices of earth scientists such as use of historical record and differentiating observation versus interpretation.

Discovery informatics in biological and biomedical sciences: research challenges and opportunities.

PubMed

Honavar, Vasant

2015-01-01

New discoveries in biological, biomedical and health sciences are increasingly being driven by our ability to acquire, share, integrate and analyze, and construct and simulate predictive models of biological systems. While much attention has focused on automating routine aspects of management and analysis of "big data", realizing the full potential of "big data" to accelerate discovery calls for automating many other aspects of the scientific process that have so far largely resisted automation: identifying gaps in the current state of knowledge; generating and prioritizing questions; designing studies; designing, prioritizing, planning, and executing experiments; interpreting results; forming hypotheses; drawing conclusions; replicating studies; validating claims; documenting studies; communicating results; reviewing results; and integrating results into the larger body of knowledge in a discipline. Against this background, the PSB workshop on Discovery Informatics in Biological and Biomedical Sciences explores the opportunities and challenges of automating discovery or assisting humans in discovery through advances (i) Understanding, formalization, and information processing accounts of, the entire scientific process; (ii) Design, development, and evaluation of the computational artifacts (representations, processes) that embody such understanding; and (iii) Application of the resulting artifacts and systems to advance science (by augmenting individual or collective human efforts, or by fully automating science).

Scientific Workflow Management in Proteomics

PubMed Central

de Bruin, Jeroen S.; Deelder, André M.; Palmblad, Magnus

2012-01-01

Data processing in proteomics can be a challenging endeavor, requiring extensive knowledge of many different software packages, all with different algorithms, data format requirements, and user interfaces. In this article we describe the integration of a number of existing programs and tools in Taverna Workbench, a scientific workflow manager currently being developed in the bioinformatics community. We demonstrate how a workflow manager provides a single, visually clear and intuitive interface to complex data analysis tasks in proteomics, from raw mass spectrometry data to protein identifications and beyond. PMID:22411703

Big Data Challenges for Large Radio Arrays

NASA Technical Reports Server (NTRS)

Jones, Dayton L.; Wagstaff, Kiri; Thompson, David; D'Addario, Larry; Navarro, Robert; Mattmann, Chris; Majid, Walid; Lazio, Joseph; Preston, Robert; Rebbapragada, Umaa

2012-01-01

Future large radio astronomy arrays, particularly the Square Kilometre Array (SKA), will be able to generate data at rates far higher than can be analyzed or stored affordably with current practices. This is, by definition, a "big data" problem, and requires an end-to-end solution if future radio arrays are to reach their full scientific potential. Similar data processing, transport, storage, and management challenges face next-generation facilities in many other fields.

Scientific and non-scientific challenges for Operational Earthquake Forecasting

NASA Astrophysics Data System (ADS)

Marzocchi, W.

2015-12-01

Tracking the time evolution of seismic hazard in time windows shorter than the usual 50-years of long-term hazard models may offer additional opportunities to reduce the seismic risk. This is the target of operational earthquake forecasting (OEF). During the OEF development in Italy we identify several challenges that range from pure science to the more practical interface of science with society. From a scientific point of view, although earthquake clustering is the clearest empirical evidence about earthquake occurrence, and OEF clustering models are the most (successfully) tested hazard models in seismology, we note that some seismologists are still reluctant to accept their scientific reliability. After exploring the motivations of these scientific doubts, we also look into an issue that is often overlooked in this discussion, i.e., in any kind of hazard analysis, we do not use a model because it is the true one, but because it is the better than anything else we can think of. The non-scientific aspects are mostly related to the fact that OEF usually provides weekly probabilities of large eartquakes smaller than 1%. These probabilities are considered by some seismologists too small to be of interest or useful. However, in a recent collaboration with engineers we show that such earthquake probabilities may lead to intolerable individual risk of death. Interestingly, this debate calls for a better definition of the still fuzzy boundaries among the different expertise required for the whole risk mitigation process. The last and probably more pressing challenge is related to the communication to the public. In fact, a wrong message could be useless or even counterproductive. Here we show some progresses that we have made in this field working with communication experts in Italy.

A Scientific Workflow System for Satellite Data Processing with Real-Time Monitoring

NASA Astrophysics Data System (ADS)

Nguyen, Minh Duc

2018-02-01

This paper provides a case study on satellite data processing, storage, and distribution in the space weather domain by introducing the Satellite Data Downloading System (SDDS). The approach proposed in this paper was evaluated through real-world scenarios and addresses the challenges related to the specific field. Although SDDS is used for satellite data processing, it can potentially be adapted to a wide range of data processing scenarios in other fields of physics.

Visual representation of scientific information.

PubMed

Wong, Bang

2011-02-15

Great technological advances have enabled researchers to generate an enormous amount of data. Data analysis is replacing data generation as the rate-limiting step in scientific research. With this wealth of information, we have an opportunity to understand the molecular causes of human diseases. However, the unprecedented scale, resolution, and variety of data pose new analytical challenges. Visual representation of data offers insights that can lead to new understanding, whether the purpose is analysis or communication. This presentation shows how art, design, and traditional illustration can enable scientific discovery. Examples will be drawn from the Broad Institute's Data Visualization Initiative, aimed at establishing processes for creating informative visualization models.

[Scientific research management in the Venezuelan universities. A new dream?].

PubMed

Yero, L

1991-01-01

The institutionalization of scientific research in Venezuela enters a new stage. Priority for technology versus science is expressed in a clear preference for technological development instead of scientific research in public policies. The emergence of new agents has favored conditions of plurality and changes in the hegemony of research groups. Academic research, especially university research, tends to be substituted by development of innovation for the production process. Part of the potential generated by the expansion at university and postgraduate level, in the country and outside it, does not find satisfactory opportunities in the scientific research in the country. A process of talent drain has begun, there are less resources for the training of high new level personnel for scientific research. The difficulties and dangers are of a different nature than those of the previous decades. This stage of the nineties, framed in financial scarcity, mercantilization of knowledge and social and economic changes in general taking place in the country, favors an utilitarian-profitable-selective-competitive-privatized research, with emphasis on the technological. The continuity of scientific research, specially academic, depends on the capacity to provide an answer to these changes and challenges and requires a new management style.

The Teaching of Anthropogenic Climate Change and Earth Science via Technology-Enabled Inquiry Education

NASA Technical Reports Server (NTRS)

Bush, Drew; Sieber, Renee; Seiler, Gale; Chandler, Mark

2016-01-01

A gap has existed between the tools and processes of scientists working on anthropogenic global climate change (AGCC) and the technologies and curricula available to educators teaching the subject through student inquiry. Designing realistic scientific inquiry into AGCC poses a challenge because research on it relies on complex computer models, globally distributed data sets, and complex laboratory and data collection procedures. Here we examine efforts by the scientific community and educational researchers to design new curricula and technology that close this gap and impart robust AGCC and Earth Science understanding. We find technology-based teaching shows promise in promoting robust AGCC understandings if associated curricula address mitigating factors such as time constraints in incorporating technology and the need to support teachers implementing AGCC and Earth Science inquiry. We recommend the scientific community continue to collaborate with educational researchers to focus on developing those inquiry technologies and curricula that use realistic scientific processes from AGCC research and/or the methods for determining how human society should respond to global change.

Evaluation of the scientific underpinnings for identifying estrogenic chemicals in non-mammalian taxa using mammalian test systems

EPA Science Inventory

A major challenge in chemical risk assessment is extrapolation of toxicity data from tested to untested species. Successful cross-species extrapolation involves understanding similarities and differences in toxicokinetic and toxicodynamic processes among species. Herein we consi...

SETAC-U.S. EPA WET INITIATIVES: ALL WET AND NOTHING BUT WET

EPA Science Inventory

To ensure that sould scientific principles and sound science are applied to the challenging issues in t he Whole Effluent Toxicity (WET) process, the Society of Environmental Toxicology and Chemistry (SETAC) Foundation for Environmental Education was awarded a cooperative agreem...

Shedding Light on Engineering Design

ERIC Educational Resources Information Center

Capobianco, Brenda M.; Nyquist, Chell; Tyrie, Nancy

2013-01-01

This article describes the steps incorporated to teach an engineering design process in a fifth-grade science classroom. The engineering design-based activity was an existing scientific inquiry activity using UV light--detecting beads and purposefully creating a series of engineering design-based challenges around the investigation. The…

FROM ASSESSMENT TO POLICY--LESSONS LEARNED FROM THE U.S. NATIONAL ASSESSMENT (Journal Article)

EPA Science Inventory

The process of translating scientific information into timely and useful insights that inform policy and resource management decisions, despite the existence of uncertainties, is a difficult and challenging task. Policy-focused assessment is one approach to achieving this end. ...

FROM ASSESSMENT TO POLICY: LESSONS LEARNED FROM THE U.S. NATIONAL ASSESSMENT

EPA Science Inventory

The process of translating scientific information into timely and useful insights that inform policy and resource management decisions, despite the existence of uncertainties, is a difficult and challenging task. Policy-focused assessment is one approach to achieving this end. I...

Challenges facing European agriculture and possible biotechnological solutions.

PubMed

Ricroch, Agnès; Harwood, Wendy; Svobodová, Zdeňka; Sági, László; Hundleby, Penelope; Badea, Elena Marcela; Rosca, Ioan; Cruz, Gabriela; Salema Fevereiro, Manuel Pedro; Marfà Riera, Victoria; Jansson, Stefan; Morandini, Piero; Bojinov, Bojin; Cetiner, Selim; Custers, René; Schrader, Uwe; Jacobsen, Hans-Joerg; Martin-Laffon, Jacqueline; Boisron, Audrey; Kuntz, Marcel

2016-10-01

Agriculture faces many challenges to maximize yields while it is required to operate in an environmentally sustainable manner. In the present study, we analyze the major agricultural challenges identified by European farmers (primarily related to biotic stresses) in 13 countries, namely Belgium, Bulgaria, the Czech Republic, France, Germany, Hungary, Italy, Portugal, Romania, Spain, Sweden, UK and Turkey, for nine major crops (barley, beet, grapevine, maize, oilseed rape, olive, potato, sunflower and wheat). Most biotic stresses (BSs) are related to fungi or insects, but viral diseases, bacterial diseases and even parasitic plants have an important impact on yield and harvest quality. We examine how these challenges have been addressed by public and private research sectors, using either conventional breeding, marker-assisted selection, transgenesis, cisgenesis, RNAi technology or mutagenesis. Both national surveys and scientific literature analysis followed by text mining were employed to evaluate genetic engineering (GE) and non-GE approaches. This is the first report of text mining of the scientific literature on plant breeding and agricultural biotechnology research. For the nine major crops in Europe, 128 BS challenges were identified with 40% of these addressed neither in the scientific literature nor in recent European public research programs. We found evidence that the private sector was addressing only a few of these "neglected" challenges. Consequently, there are considerable gaps between farmer's needs and current breeding and biotechnology research. We also provide evidence that the current political situation in certain European countries is an impediment to GE research in order to address these agricultural challenges in the future. This study should also contribute to the decision-making process on future pertinent international consortia to fill the identified research gaps.

Regulatory Challenges for Cartilage Repair Technologies.

PubMed

McGowan, Kevin B; Stiegman, Glenn

2013-01-01

In the United States, few Food and Drug Administration (FDA)-approved options exist for the treatment of focal cartilage and osteochondral lesions. Developers of products for cartilage repair face many challenges to obtain marketing approval from the FDA. The objective of this review is to discuss the necessary steps for FDA application and approval for a new cartilage repair product. FDA Guidance Documents, FDA Panel Meetings, scientific organization recommendations, and clinicaltrials.gov were reviewed to demonstrate the current thinking of FDA and the scientific community on the regulatory process for cartilage repair therapies. Cartilage repair therapies can receive market approval from FDA as medical devices, drugs, or biologics, and the specific classification of product can affect the nonclinical, clinical, and regulatory strategy to bring the product to market. Recent FDA guidance gives an outline of the required elements to bring a cartilage repair product to market, although these standards are often very general. As a result, companies have to carefully craft their study patient population, comparator group, and clinical endpoint to best showcase their product's attributes. In addition, regulatory strategy and manufacturing process validation need to be considered early in the clinical study process to allow for timely product approval following the completion of clinical study. Although the path to regulatory approval for a cartilage repair therapy is challenging and time-consuming, proper clinical trial planning and attention to the details can eventually save companies time and money by bringing a product to the market in the most expeditious process possible.

Regulatory Challenges for Cartilage Repair Technologies

PubMed Central

Stiegman, Glenn

2013-01-01

In the United States, few Food and Drug Administration (FDA)–approved options exist for the treatment of focal cartilage and osteochondral lesions. Developers of products for cartilage repair face many challenges to obtain marketing approval from the FDA. The objective of this review is to discuss the necessary steps for FDA application and approval for a new cartilage repair product. FDA Guidance Documents, FDA Panel Meetings, scientific organization recommendations, and clinicaltrials.gov were reviewed to demonstrate the current thinking of FDA and the scientific community on the regulatory process for cartilage repair therapies. Cartilage repair therapies can receive market approval from FDA as medical devices, drugs, or biologics, and the specific classification of product can affect the nonclinical, clinical, and regulatory strategy to bring the product to market. Recent FDA guidance gives an outline of the required elements to bring a cartilage repair product to market, although these standards are often very general. As a result, companies have to carefully craft their study patient population, comparator group, and clinical endpoint to best showcase their product’s attributes. In addition, regulatory strategy and manufacturing process validation need to be considered early in the clinical study process to allow for timely product approval following the completion of clinical study. Although the path to regulatory approval for a cartilage repair therapy is challenging and time-consuming, proper clinical trial planning and attention to the details can eventually save companies time and money by bringing a product to the market in the most expeditious process possible. PMID:26069647

Redefining Earthquakes and the Earthquake Machine

ERIC Educational Resources Information Center

Hubenthal, Michael; Braile, Larry; Taber, John

2008-01-01

The Earthquake Machine (EML), a mechanical model of stick-slip fault systems, can increase student engagement and facilitate opportunities to participate in the scientific process. This article introduces the EML model and an activity that challenges ninth-grade students' misconceptions about earthquakes. The activity emphasizes the role of models…

Contemporary HIV/AIDS research: Insights from knowledge management theory

PubMed Central

Callaghan, Chris William

2017-01-01

Abstract Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn’s paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the ‘crowd,’ thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition of the important role of social theory in the scientific research process. PMID:28922967

Science Partnerships Enabling Rapid Response: Designing a Strategy for Improving Scientific Collaboration during Crisis Response

NASA Astrophysics Data System (ADS)

Mease, L.; Gibbs, T.; Adiseshan, T.

2014-12-01

The 2010 Deepwater Horizon disaster required unprecedented engagement and collaboration with scientists from multiple disciplines across government, academia, and industry. Although this spurred the rapid advancement of valuable new scientific knowledge and tools, it also exposed weaknesses in the system of information dissemination and exchange among the scientists from those three sectors. Limited government communication with the broader scientific community complicated the rapid mobilization of the scientific community to assist with spill response, evaluation of impact, and public perceptions of the crisis. The lessons and new laws produced from prior spills such as Exxon Valdez were helpful, but ultimately did not lead to the actions necessary to prepare a suitable infrastructure that would support collaboration with non-governmental scientists. As oil demand pushes drilling into increasingly extreme environments, addressing the challenge of effective, science-based disaster response is an imperative. Our study employs a user-centered design process to 1) understand the obstacles to and opportunity spaces for effective scientific collaboration during environmental crises such as large oil spills, 2) identify possible tools and strategies to enable rapid information exchange between government responders and non-governmental scientists from multiple relevant disciplines, and 3) build a network of key influencers to secure sufficient buy-in for scaled implementation of appropriate tools and strategies. Our methods include user ethnography, complex system mapping, individual and system behavioral analysis, and large-scale system design to identify and prototype a solution to this crisis collaboration challenge. In this talk, we will present out insights gleaned from existing analogs of successful scientific collaboration during crises and our initial findings from the 60 targeted interviews we conducted that highlight key collaboration challenges that government agencies, academic research institutions, and industry scientists face during oil spill crises. We will also present a synthesis of leverage points in the system that may amplify the impact of an improved collaboration strategy among scientific stakeholders.

Research ethics in the dynamic of scientific field: challenges in the building of guidelines for social sciences and humanities.

PubMed

Guerriero, Iara Coelho Zito; Bosi, Maria Lúcia Magalhães

2015-09-01

The development of guidelines on research ethics for social science and humanities (SSH) takes place in the scientific field, marked by disputes aimed at the establishment of hegemonic scientific standard. In Brazil, the National Health Council is responsible for approving these guidelines, which involve certain specificities. Based on the authors' experience in the SSH Working Group of the National Commission on Research Ethics (GT CHS / CONEP), this article presents the process of development of guidelines for SSH, and some its challenges: the distance between the statutory guarantee and the effective execution of guidelines; the biomedical hegemony and the marginal position of the SSH in the CEP / CONEP system; the inadequacy of the current resolution facing the research features in CHS; the use of the concept of risk in guidelines aimed at SSH in the health area. Some interfaces and tensions in the debate between scientific merit and ethical evaluation are also discussed. The analysis highlights important impasses and difficulties regarding inter-paradigmatic dialogue in health research, considered the characteristics of the different traditions, the CONEP's heavily relying on the positivist perspective and the defense of that paradigm hegemony.

Modern data science for analytical chemical data - A comprehensive review.

PubMed

Szymańska, Ewa

2018-10-22

Efficient and reliable analysis of chemical analytical data is a great challenge due to the increase in data size, variety and velocity. New methodologies, approaches and methods are being proposed not only by chemometrics but also by other data scientific communities to extract relevant information from big datasets and provide their value to different applications. Besides common goal of big data analysis, different perspectives and terms on big data are being discussed in scientific literature and public media. The aim of this comprehensive review is to present common trends in the analysis of chemical analytical data across different data scientific fields together with their data type-specific and generic challenges. Firstly, common data science terms used in different data scientific fields are summarized and discussed. Secondly, systematic methodologies to plan and run big data analysis projects are presented together with their steps. Moreover, different analysis aspects like assessing data quality, selecting data pre-processing strategies, data visualization and model validation are considered in more detail. Finally, an overview of standard and new data analysis methods is provided and their suitability for big analytical chemical datasets shortly discussed. Copyright © 2018 Elsevier B.V. All rights reserved.

Salt, time, and metaphor: examining norms in scientific culture

NASA Astrophysics Data System (ADS)

Brady, Anna G.

2017-06-01

As has been widely discussed, the National Research Council's (NRC) current policy in United States education advocates supporting students toward acquiring skills to engage in scientific practices. NRC policy also suggests that supporting students in the practices of science may require different approaches than what is required for supporting student engagement with scientific content. Further, acquiring skills in scientific practices is not limited to gaining proficiency in utilizing tools that support scientific inquiry: students must also understand how to interpret information generated from such tools. These tools of scientific practices are embedded within scientific culture, which from Sewell's perspective, is comprised of both practice and semiotic code (symbols and meanings). To become scientifically literate students must learn to utilize this code in practice. Author Germà Garcia-Belmonte identified one example of learning to utilize the semiotic code in scientific practice and considers challenges faced by undergraduate physics and engineering students within that context. Garcia-Belmonte observes students struggle to interpret symbols and meaning (the visual display generated) while engaging in practice (utilizing an oscilloscope) and posits that two, culturally bound, competing, linguistic metaphors of time may be the cause. Ultimately, however, the author does not explore beyond hypotheses. Although his theory may be correct, the paper serves as a reminder of the responsibility we have to students. As educators, it is useful and beneficial to make observations and develop theories surrounding why our students struggle. However, in addition to theorizing on why, for example, a particular scientific norm might present challenges for our students, we must remain mindful that challenges may not be uniform and may vary considerably according to students' culture(s). Engaging with students and soliciting specific information regarding the challenges they face allows us, as educators, to both examine whether students' reported challenges align or conflict with our own perceptions of those challenges, and subsequently devise and test methods toward supporting students in overcoming their challenges.

How to Write Articles that Get Published

PubMed Central

2014-01-01

Publications are essential for sharing knowledge, and career advancement. Writing a research paper is a challenge. Most graduate programmes in medicine do not offer hands-on training in writing and publishing in scientific journals. Beginners find the art and science of scientific writing a daunting task. ‘How to write a scientific paper?, Is there a sure way to successful publication ?’ are the frequently asked questions. This paper aims to answer these questions and guide a beginner through the process of planning, writing, and correction of manuscripts that attract the readers and satisfies the peer reviewers. A well-structured paper in lucid and correct language that is easy to read and edit, and strictly follows the instruction to the authors from the editors finds favour from the readers and avoids outright rejection. Making right choice of journal is a decision critical to acceptance. Perseverance through the peer review process is the road to successful publication. PMID:25386508

Case Studies in Describing Scientific Research Efforts as Linked Data

NASA Astrophysics Data System (ADS)

Gandara, A.; Villanueva-Rosales, N.; Gates, A.

2013-12-01

The Web is growing with numerous scientific resources, prompting increased efforts in information management to consider integration and exchange of scientific resources. Scientists have many options to share scientific resources on the Web; however, existing options provide limited support to scientists in annotating and relating research resources resulting from a scientific research effort. Moreover, there is no systematic approach to documenting scientific research and sharing it on the Web. This research proposes the Collect-Annotate-Refine-Publish (CARP) Methodology as an approach for guiding documentation of scientific research on the Semantic Web as scientific collections. Scientific collections are structured descriptions about scientific research that make scientific results accessible based on context. In addition, scientific collections enhance the Linked Data data space and can be queried by machines. Three case studies were conducted on research efforts at the Cyber-ShARE Research Center of Excellence in order to assess the effectiveness of the methodology to create scientific collections. The case studies exposed the challenges and benefits of leveraging the Semantic Web and Linked Data data space to facilitate access, integration and processing of Web-accessible scientific resources and research documentation. As such, we present the case study findings and lessons learned in documenting scientific research using CARP.

Collective Awareness and the New Institution Science

NASA Astrophysics Data System (ADS)

Pitt, Jeremy; Nowak, Andrzej

The following sections are included: * Introduction * Challenges for Institutions * Collective Awareness * A New Science of Institutions * Complex social ensembles * Interoceptive collective awareness * Planned emergence * Self-organising electronic institutions * Transformative Impact on Society * Social attitudes and processes * Innovative service creation and social innovation * Scientific impact * Big data * Self-regulation * Summary and Conclusions

Spinoff, 1985

NASA Technical Reports Server (NTRS)

Haggerty, J. J.

1986-01-01

Mainline NASA programs, whose challenging objectives necessitate advances across a diverse scientific/technological spectrum are summarized. A representative selection of spinoff products and processes are presented and the NASA technology from which these transfers are derived, are described. The mechanisms NASA employs to foster technology utilization and stimulate interest among prospective users of the technology are detailed.

Moving from Structured to Open Inquiry: Challenges and Limits

ERIC Educational Resources Information Center

Zion, Michal; Mendelovici, Ruthy

2012-01-01

The article provides science educators with definitions of inquiry and its levels, relating them to real-world scientific processes. Such an educational shift entails a fundamental cultural change in the epistemology of science learning in schools, shifting it from "instructionism" to social constructivist learning. The highest level of…

Enabling technologies built on a sonochemical platform: challenges and opportunities.

PubMed

Cintas, Pedro; Tagliapietra, Silvia; Caporaso, Marina; Tabasso, Silvia; Cravotto, Giancarlo

2015-07-01

Scientific and technological progress now occurs at the interface between two or more scientific and technical disciplines while chemistry is intertwined with almost all scientific domains. Complementary and synergistic effects have been found in the overlay between sonochemistry and other enabling technologies such as mechanochemistry, microwave chemistry and flow-chemistry. Although their nature and effects are intrinsically different, these techniques share the ability to significantly activate most chemical processes and peculiar phenomena. These studies offer a comprehensive overview of sonochemistry, provide a better understanding of correlated phenomena (mechanochemical effects, hot spots, etc.), and pave the way for emerging applications which unite hybrid reactors. Copyright © 2014 Elsevier B.V. All rights reserved.

A Disciplined Architectural Approach to Scaling Data Analysis for Massive, Scientific Data

NASA Astrophysics Data System (ADS)

Crichton, D. J.; Braverman, A. J.; Cinquini, L.; Turmon, M.; Lee, H.; Law, E.

2014-12-01

Data collections across remote sensing and ground-based instruments in astronomy, Earth science, and planetary science are outpacing scientists' ability to analyze them. Furthermore, the distribution, structure, and heterogeneity of the measurements themselves pose challenges that limit the scalability of data analysis using traditional approaches. Methods for developing science data processing pipelines, distribution of scientific datasets, and performing analysis will require innovative approaches that integrate cyber-infrastructure, algorithms, and data into more systematic approaches that can more efficiently compute and reduce data, particularly distributed data. This requires the integration of computer science, machine learning, statistics and domain expertise to identify scalable architectures for data analysis. The size of data returned from Earth Science observing satellites and the magnitude of data from climate model output, is predicted to grow into the tens of petabytes challenging current data analysis paradigms. This same kind of growth is present in astronomy and planetary science data. One of the major challenges in data science and related disciplines defining new approaches to scaling systems and analysis in order to increase scientific productivity and yield. Specific needs include: 1) identification of optimized system architectures for analyzing massive, distributed data sets; 2) algorithms for systematic analysis of massive data sets in distributed environments; and 3) the development of software infrastructures that are capable of performing massive, distributed data analysis across a comprehensive data science framework. NASA/JPL has begun an initiative in data science to address these challenges. Our goal is to evaluate how scientific productivity can be improved through optimized architectural topologies that identify how to deploy and manage the access, distribution, computation, and reduction of massive, distributed data, while managing the uncertainties of scientific conclusions derived from such capabilities. This talk will provide an overview of JPL's efforts in developing a comprehensive architectural approach to data science.

Policy decision-making under scientific uncertainty: radiological risk assessment and the role of expert advisory groups.

PubMed

Mossman, Kenneth L

2009-08-01

Standard-setting agencies such as the U.S. Nuclear Regulatory Commission and the U.S. Environmental Protection Agency depend on advice from external expert advisory groups on matters of public policy and standard-setting. Authoritative bodies including the National Research Council and the National Council on Radiation Protection and Measurements provide analyses and recommendations that enable the technical and scientific soundness in decision-making. In radiological protection the nature of the scientific evidence is such that risk assessment at radiation doses typically encountered in environmental and occupational settings is highly uncertain, and several policy alternatives are scientifically defensible. The link between science and policy is problematic. The fundamental issue is the failure to properly consider risk assessment, risk communication, and risk management and then consolidate them in a process that leads to sound policy. Authoritative bodies should serve as unbiased brokers of policy choices by providing balanced and objective scientific analyses. As long as the policy-decision environment is characterized by high scientific uncertainty and a lack of values consensus, advisory groups should present unbiased evaluations of all scientifically plausible alternatives and recommend selection criteria that decision makers can use in the policy-setting process. To do otherwise (e.g., by serving as single position advocates) weakens decision-making by eliminating options and narrowing discussions of scientific perspectives. Understanding uncertainties and the limitations on available scientific information and conveying such information to policy makers remain key challenges for the technical and policy communities.

Big Data Provenance: Challenges, State of the Art and Opportunities.

PubMed

Wang, Jianwu; Crawl, Daniel; Purawat, Shweta; Nguyen, Mai; Altintas, Ilkay

2015-01-01

Ability to track provenance is a key feature of scientific workflows to support data lineage and reproducibility. The challenges that are introduced by the volume, variety and velocity of Big Data, also pose related challenges for provenance and quality of Big Data, defined as veracity. The increasing size and variety of distributed Big Data provenance information bring new technical challenges and opportunities throughout the provenance lifecycle including recording, querying, sharing and utilization. This paper discusses the challenges and opportunities of Big Data provenance related to the veracity of the datasets themselves and the provenance of the analytical processes that analyze these datasets. It also explains our current efforts towards tracking and utilizing Big Data provenance using workflows as a programming model to analyze Big Data.

Defending the scientific integrity of conservation-policy processes.

PubMed

Carroll, Carlos; Hartl, Brett; Goldman, Gretchen T; Rohlf, Daniel J; Treves, Adrian; Kerr, Jeremy T; Ritchie, Euan G; Kingsford, Richard T; Gibbs, Katherine E; Maron, Martine; Watson, James E M

2017-10-01

Government agencies faced with politically controversial decisions often discount or ignore scientific information, whether from agency staff or nongovernmental scientists. Recent developments in scientific integrity (the ability to perform, use, communicate, and publish science free from censorship or political interference) in Canada, Australia, and the United States demonstrate a similar trajectory. A perceived increase in scientific-integrity abuses provokes concerted pressure by the scientific community, leading to efforts to improve scientific-integrity protections under a new administration. However, protections are often inconsistently applied and are at risk of reversal under administrations publicly hostile to evidence-based policy. We compared recent challenges to scientific integrity to determine what aspects of scientific input into conservation policy are most at risk of political distortion and what can be done to strengthen safeguards against such abuses. To ensure the integrity of outbound communications from government scientists to the public, we suggest governments strengthen scientific integrity policies, include scientists' right to speak freely in collective-bargaining agreements, guarantee public access to scientific information, and strengthen agency culture supporting scientific integrity. To ensure the transparency and integrity with which information from nongovernmental scientists (e.g., submitted comments or formal policy reviews) informs the policy process, we suggest governments broaden the scope of independent reviews, ensure greater diversity of expert input and transparency regarding conflicts of interest, require a substantive response to input from agencies, and engage proactively with scientific societies. For their part, scientists and scientific societies have a responsibility to engage with the public to affirm that science is a crucial resource for developing evidence-based policy and regulations in the public interest. © 2017 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

A prospective multiple case study of the impact of emerging scientific evidence on established colorectal cancer screening programs: a study protocol.

PubMed

Geddie, Hannah; Dobrow, Mark J; Hoch, Jeffrey S; Rabeneck, Linda

2012-06-01

Health-policy decision making is a complex and dynamic process, for which strong evidentiary support is required. This includes scientifically produced research, as well as information that relates to the context in which the decision takes place. Unlike scientific evidence, this "contextual evidence" is highly variable and often includes information that is not scientifically produced, drawn from sources such as political judgement, program management experience and knowledge, or public values. As the policy decision-making process is variable and difficult to evaluate, it is often unclear how this heterogeneous evidence is identified and incorporated into "evidence-based policy" decisions. Population-based colorectal cancer screening poses an ideal context in which to examine these issues. In Canada, colorectal cancer screening programs have been established in several provinces over the past five years, based on the fecal occult blood test (FOBT) or the fecal immunochemical test. However, as these programs develop, new scientific evidence for screening continues to emerge. Recently published randomized controlled trials suggest that the use of flexible sigmoidoscopy for population-based screening may pose a greater reduction in mortality than the FOBT. This raises the important question of how policy makers will address this evidence, given that screening programs are being established or are already in place. This study will examine these issues prospectively and will focus on how policy makers monitor emerging scientific evidence and how both scientific and contextual evidence are identified and applied for decisions about health system improvement. This study will employ a prospective multiple case study design, involving participants from Ontario, Alberta, Manitoba, Nova Scotia, and Quebec. In each province, data will be collected via document analysis and key informant interviews. Documents will include policy briefs, reports, meeting minutes, media releases, and correspondence. Interviews will be conducted in person with senior administrative leaders, government officials, screening experts, and high-level cancer system stakeholders. The proposed study comprises the third and final phase of an Emerging Team grant to address the challenges of health-policy decision making and colorectal cancer screening decisions in Canada. This study will contribute a unique prospective look at how policy makers address new, emerging scientific evidence in several different policy environments and at different stages of program planning and implementation. Findings will provide important insight into the various approaches that are or should be used to monitor emerging evidence, the relative importance of scientific versus contextual evidence for decision making, and the tools and processes that may be important to support challenging health-policy decisions.

Community-based Participatory Research

PubMed Central

Holkup, Patricia A.; Tripp-Reimer, Toni; Salois, Emily Matt; Weinert, Clarann

2009-01-01

Community-based participatory research (CBPR), with its emphasis on joining with the community as full and equal partners in all phases of the research process, makes it an appealing model for research with vulnerable populations. However, the CBPR approach is not without special challenges relating to ethical, cultural, and scientific issues. In this article, we describe how we managed the challenges we encountered while conducting a CBPR project with a Native American community. We also suggest criteria that will enable evaluation of the project. PMID:15455579

The Neuroscience of Consumer Choice

PubMed Central

Hsu, Ming; Yoon, Carolyn

2015-01-01

We review progress and challenges relating to scientific and applied goals of the nascent field of consumer neuroscience. Scientifically, substantial progress has been made in understanding the neurobiology of choice processes. Further advances, however, require researchers to begin clarifying the set of developmental and cognitive processes that shape and constrain choices. First, despite the centrality of preferences in theories of consumer choice, we still know little about where preferences come from and the underlying developmental processes. Second, the role of attention and memory processes in consumer choice remains poorly understood, despite importance ascribed to them in interpreting data from the field. The applied goal of consumer neuroscience concerns our ability to translate this understanding to augment prediction at the population level. Although the use of neuroscientific data for market-level predictions remains speculative, there is growing evidence of superiority in specific cases over existing market research techniques. PMID:26665152

The nature of the (visualization) game: Challenges and opportunities from computational geophysics

NASA Astrophysics Data System (ADS)

Kellogg, L. H.

2016-12-01

As the geosciences enters the era of big data, modeling and visualization become increasingly vital tools for discovery, understanding, education, and communication. Here, we focus on modeling and visualization of the structure and dynamics of the Earth's surface and interior. The past decade has seen accelerated data acquisition, including higher resolution imaging and modeling of Earth's deep interior, complex models of geodynamics, and high resolution topographic imaging of the changing surface, with an associated acceleration of computational modeling through better scientific software, increased computing capability, and the use of innovative methods of scientific visualization. The role of modeling is to describe a system, answer scientific questions, and test hypotheses; the term "model" encompasses mathematical models, computational models, physical models, conceptual models, statistical models, and visual models of a structure or process. These different uses of the term require thoughtful communication to avoid confusion. Scientific visualization is integral to every aspect of modeling. Not merely a means of communicating results, the best uses of visualization enable scientists to interact with their data, revealing the characteristics of the data and models to enable better interpretation and inform the direction of future investigation. Innovative immersive technologies like virtual reality, augmented reality, and remote collaboration techniques, are being adapted more widely and are a magnet for students. Time-varying or transient phenomena are especially challenging to model and to visualize; researchers and students may need to investigate the role of initial conditions in driving phenomena, while nonlinearities in the governing equations of many Earth systems make the computations and resulting visualization especially challenging. Training students how to use, design, build, and interpret scientific modeling and visualization tools prepares them to better understand the nature of complex, multiscale geoscience data.

Incommensurability: its implications for the patient/physician relation.

PubMed

Veatch, R M; Stempsey, W E

1995-06-01

Scientific authority and physician authority are both challenged by Thomas Kuhn's concept of incommensurability. If competing "paradigms" or "world views" cannot rationally be compared, we have no means to judge the truth of any particular view. However, the notion of local or partial incommensurability might provide a framework for understanding the implication of contemporary philosophy of science for medicine. We distinguish four steps in the process of translating medical science into clinical decisions: the doing of the science, the appropriation of the scientific findings by the clinician, the transfer of the findings from the clinician to the patient, and the choice of a treatment regimen. Incommensurability can play a role in each stage. There is at least some theory- and value-ladenness in science that is dependent on the world view of those who construct the scientific theories. Clinicians who must use the results of scientific research will inevitably interpret the research from the standpoint of their own world view. There may be further incommensurability when these data are communicated to the patient. Finally, clinician and patient values must come into play in any decision about choice of treatment. No stage of medical research or practice is value-free. This position does not imply relativism; some scientific accounts are better than others. However, the challenge of the incommensurabilists shows that further analysis is needed to establish how particular accounts are better or worse.

Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations.

PubMed

Cournia, Zoe; Allen, Bryce; Sherman, Woody

2017-12-26

Accurate in silico prediction of protein-ligand binding affinities has been a primary objective of structure-based drug design for decades due to the putative value it would bring to the drug discovery process. However, computational methods have historically failed to deliver value in real-world drug discovery applications due to a variety of scientific, technical, and practical challenges. Recently, a family of approaches commonly referred to as relative binding free energy (RBFE) calculations, which rely on physics-based molecular simulations and statistical mechanics, have shown promise in reliably generating accurate predictions in the context of drug discovery projects. This advance arises from accumulating developments in the underlying scientific methods (decades of research on force fields and sampling algorithms) coupled with vast increases in computational resources (graphics processing units and cloud infrastructures). Mounting evidence from retrospective validation studies, blind challenge predictions, and prospective applications suggests that RBFE simulations can now predict the affinity differences for congeneric ligands with sufficient accuracy and throughput to deliver considerable value in hit-to-lead and lead optimization efforts. Here, we present an overview of current RBFE implementations, highlighting recent advances and remaining challenges, along with examples that emphasize practical considerations for obtaining reliable RBFE results. We focus specifically on relative binding free energies because the calculations are less computationally intensive than absolute binding free energy (ABFE) calculations and map directly onto the hit-to-lead and lead optimization processes, where the prediction of relative binding energies between a reference molecule and new ideas (virtual molecules) can be used to prioritize molecules for synthesis. We describe the critical aspects of running RBFE calculations, from both theoretical and applied perspectives, using a combination of retrospective literature examples and prospective studies from drug discovery projects. This work is intended to provide a contemporary overview of the scientific, technical, and practical issues associated with running relative binding free energy simulations, with a focus on real-world drug discovery applications. We offer guidelines for improving the accuracy of RBFE simulations, especially for challenging cases, and emphasize unresolved issues that could be improved by further research in the field.

NASA/MSFC FY92 Earth Science and Applications Program Research Review

NASA Technical Reports Server (NTRS)

Arnold, James E. (Editor); Leslie, Fred W. (Editor)

1993-01-01

A large amount of attention has recently been given to global issues such as the ozone hole, tropospheric temperature variability, etc. A scientific challenge is to better understand atmospheric processes on a variety of spatial and temporal scales in order to predict environmental changes. Measurement of geophysical parameters such as wind, temperature, and moisture are needed to validate theories, provide analyzed data sets, and initialize or constrain numerical models. One of NASA's initiatives is the Mission to Planet Earth Program comprised of an Earth Observation System (EOS) and the scientific strategy to analyze these data. This work describes these efforts in the context of satellite data analysis and fundamental studies of atmospheric dynamics which examine selected processes important to the global circulation.

Bonsai: an event-based framework for processing and controlling data streams

PubMed Central

Lopes, Gonçalo; Bonacchi, Niccolò; Frazão, João; Neto, Joana P.; Atallah, Bassam V.; Soares, Sofia; Moreira, Luís; Matias, Sara; Itskov, Pavel M.; Correia, Patrícia A.; Medina, Roberto E.; Calcaterra, Lorenza; Dreosti, Elena; Paton, Joseph J.; Kampff, Adam R.

2015-01-01

The design of modern scientific experiments requires the control and monitoring of many different data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience. We specifically highlight some applications that require the combination of many different hardware and software components, including video tracking of behavior, electrophysiology and closed-loop control of stimulation. PMID:25904861

Community Engagement and Knowledge Translation: Progress and Challenge in Autism Research

ERIC Educational Resources Information Center

Elsabbagh, Mayada; Yusuf, Afiqah; Prasanna, Shreya; Shikako-Thomas, Keiko; Ruff, Crystal A.; Fehlings, Michael G.

2014-01-01

The last decade has seen significant growth in scientific understanding and public awareness of autism. There is still a long road ahead before this awareness can be matched with parallel improvements in evidence-based practice. The process of translating evidence into community care has been hampered by the seeming disconnect between the…

Teachers, Research, and Reform: Improving Teaching and Learning in High School Science Courses.

ERIC Educational Resources Information Center

Kaiser, Bonnie

One of the challenges issued by the National Science Education Standards is for students to learn the content and process of modern scientific inquiry by engaging in research and entering science competitions. The Rockefeller University Precollege Science Education Outreach Programs (Science Outreach) provide access for about 70 students from…

Inquiry-based science education: towards a pedagogical framework for primary school teachers

NASA Astrophysics Data System (ADS)

van Uum, Martina S. J.; Verhoeff, Roald P.; Peeters, Marieke

2016-02-01

Inquiry-based science education (IBSE) has been promoted as an inspiring way of learning science by engaging pupils in designing and conducting their own scientific investigations. For primary school teachers, the open nature of IBSE poses challenges as they often lack experience in supporting their pupils during the different phases of an open IBSE project, such as formulating a research question and designing and conducting an investigation. The current study aims to meet these challenges by presenting a pedagogical framework in which four domains of scientific knowledge are addressed in seven phases of inquiry. The framework is based on video analyses of pedagogical interventions by primary school teachers participating in open IBSE projects. Our results show that teachers can guide their pupils successfully through the process of open inquiry by explicitly addressing the conceptual, epistemic, social and/or procedural domain of scientific knowledge in the subsequent phases of inquiry. The paper concludes by suggesting further research to validate our framework and to develop a pedagogy for primary school teachers to guide their pupils through the different phases of open inquiry.

Nuclear Forensics and Attribution: A National Laboratory Perspective

NASA Astrophysics Data System (ADS)

Hall, Howard L.

2008-04-01

Current capabilities in technical nuclear forensics - the extraction of information from nuclear and/or radiological materials to support the attribution of a nuclear incident to material sources, transit routes, and ultimately perpetrator identity - derive largely from three sources: nuclear weapons testing and surveillance programs of the Cold War, advances in analytical chemistry and materials characterization techniques, and abilities to perform ``conventional'' forensics (e.g., fingerprints) on radiologically contaminated items. Leveraging that scientific infrastructure has provided a baseline capability to the nation, but we are only beginning to explore the scientific challenges that stand between today's capabilities and tomorrow's requirements. These scientific challenges include radically rethinking radioanalytical chemistry approaches, developing rapidly deployable sampling and analysis systems for field applications, and improving analytical instrumentation. Coupled with the ability to measure a signature faster or more exquisitely, we must also develop the ability to interpret those signatures for meaning. This requires understanding of the physics and chemistry of nuclear materials processes well beyond our current level - especially since we are unlikely to ever have direct access to all potential sources of nuclear threat materials.

AMRZone: A Runtime AMR Data Sharing Framework For Scientific Applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang, Wenzhao; Tang, Houjun; Harenberg, Steven

Frameworks that facilitate runtime data sharing across multiple applications are of great importance for scientific data analytics. Although existing frameworks work well over uniform mesh data, they can not effectively handle adaptive mesh refinement (AMR) data. Among the challenges to construct an AMR-capable framework include: (1) designing an architecture that facilitates online AMR data management; (2) achieving a load-balanced AMR data distribution for the data staging space at runtime; and (3) building an effective online index to support the unique spatial data retrieval requirements for AMR data. Towards addressing these challenges to support runtime AMR data sharing across scientific applications,more » we present the AMRZone framework. Experiments over real-world AMR datasets demonstrate AMRZone's effectiveness at achieving a balanced workload distribution, reading/writing large-scale datasets with thousands of parallel processes, and satisfying queries with spatial constraints. Moreover, AMRZone's performance and scalability are even comparable with existing state-of-the-art work when tested over uniform mesh data with up to 16384 cores; in the best case, our framework achieves a 46% performance improvement.« less

Teaching for Scientific Literacy: Bangladeshi Teachers' Perspectives, Practices and Challenges

ERIC Educational Resources Information Center

Sarkar, Mahbub; Corrigan, Deborah

2012-01-01

This paper reports on the way three Bangladeshi science teachers perceive scientific literacy, translate their perspectives into classroom teaching, the values they consider pertaining scientific literacy and the issues they perceive as challenging in their teaching. Employing a case study approach, data in this research were gathered through…

Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform.

PubMed

Moutsatsos, Ioannis K; Hossain, Imtiaz; Agarinis, Claudia; Harbinski, Fred; Abraham, Yann; Dobler, Luc; Zhang, Xian; Wilson, Christopher J; Jenkins, Jeremy L; Holway, Nicholas; Tallarico, John; Parker, Christian N

2017-03-01

High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an "off-the-shelf," open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content screening (HCS). Jenkins-CI provides numerous plugins for standard compute tasks, and its design allows the quick integration of external scientific applications. Using Jenkins-CI, we integrated CellProfiler, an open-source image-processing platform, with various HCS utilities and a high-performance Linux cluster. The platform is web-accessible, facilitates access and sharing of high-performance compute resources, and automates previously cumbersome data and image-processing tasks. Imaging pipelines developed using the desktop CellProfiler client can be managed and shared through a centralized Jenkins-CI repository. Pipelines and managed data are annotated to facilitate collaboration and reuse. Limitations with Jenkins-CI (primarily around the user interface) were addressed through the selection of helper plugins from the Jenkins-CI community.

Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform

PubMed Central

Moutsatsos, Ioannis K.; Hossain, Imtiaz; Agarinis, Claudia; Harbinski, Fred; Abraham, Yann; Dobler, Luc; Zhang, Xian; Wilson, Christopher J.; Jenkins, Jeremy L.; Holway, Nicholas; Tallarico, John; Parker, Christian N.

2016-01-01

High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an “off-the-shelf,” open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content screening (HCS). Jenkins-CI provides numerous plugins for standard compute tasks, and its design allows the quick integration of external scientific applications. Using Jenkins-CI, we integrated CellProfiler, an open-source image-processing platform, with various HCS utilities and a high-performance Linux cluster. The platform is web-accessible, facilitates access and sharing of high-performance compute resources, and automates previously cumbersome data and image-processing tasks. Imaging pipelines developed using the desktop CellProfiler client can be managed and shared through a centralized Jenkins-CI repository. Pipelines and managed data are annotated to facilitate collaboration and reuse. Limitations with Jenkins-CI (primarily around the user interface) were addressed through the selection of helper plugins from the Jenkins-CI community. PMID:27899692

Moving to a Soft Path for Water: Integrated Research and Management Needs

NASA Astrophysics Data System (ADS)

Gleick, P. H.

2011-12-01

Water on Earth in its three fundamental phases is integral to the functioning, dynamics, and variability of the global climatological and biological support systems. From a purely scientific point of view, understanding the complexity of the hydrological cycle is of paramount interest and central to our understanding of other planetary geological, atmospheric, chemical, and physical processes. But water is more than that: water is key to economic, social, and political issues as well, including some of the core challenges of our time such central to issues of poverty, health, environmental sustainability, conflict, and economic prosperity. The more society seeks to solve these challenges, the more obvious it becomes that we must improve more than just our understanding of the fundamental science of the hydrological cycle and its links with related global processes; we must also improve our understanding of the complex social, economic, and structural challenges facing water managers and users. We must move to a different paradigm where water is managed in a far more integrated way - what I call the "soft path for water." Central to our basic science needs are (1) an expansion of the frequency and nature of the data we collect, (2) the development of systems for managing, sharing, and analyzing those data, and (3) improvements in our ability to model and forecast the hydrological cycle together with other climatological, geophysical, and biochemical systems. These improvements would lead to a far better understanding of the local, regional, and global details of the water balance on timescales from minutes to millennia. These needs are increasingly well understood in the research community and extensive efforts in these areas are underway under the auspices of national research centers, universities, and international scientific collaborations. But it is also becoming increasingly apparent that many of the current water challenges facing society are not going to be resolved solely through improvements in scientific understanding. Many water challenges lie at the intersection between pure science and applied science, or between the sciences and economics and policy. Any effort to summarize future needs must therefore also acknowledge the urgent need to improve our understanding of how humans are increasingly influencing and changing the hydrologic cycle and the ultimate consequences of those changes for societal well-being. Such efforts would be greatly enhanced by interdisciplinary research and policy efforts involving the scientific community and a broader range of engineers, economists, utility managers, irrigators, and local communities. For example, as one measure of the recognition of these challenges, the Hydrology Section of the American Geophysical Union has just constituted a new Technical Committee on Water and Society to broaden the issues addressed by AGU members and to develop alternative paths - including "soft paths" to addressing a wide range of water-related challenges.

SensorWeb Hub infrastructure for open access to scientific research data

NASA Astrophysics Data System (ADS)

de Filippis, Tiziana; Rocchi, Leandro; Rapisardi, Elena

2015-04-01

The sharing of research data is a new challenge for the scientific community that may benefit from a large amount of information to solve environmental issues and sustainability in agriculture and urban contexts. Prerequisites for this challenge is the development of an infrastructure that ensure access, management and preservation of data, technical support for a coordinated and harmonious management of data that, in the framework of Open Data Policies, should encourages the reuse and the collaboration. The neogeography and the citizen as sensors approach, highlight that new data sources need a new set of tools and practices so to collect, validate, categorize, and use / access these "crowdsourced" data, that integrate the data sets produced in the scientific field, thus "feeding" the overall available data for analysis and research. When the scientific community embraces the dimension of collaboration and sharing, access and re-use, in order to accept the open innovation approach, it should redesign and reshape the processes of data management: the challenges of technological and cultural innovation, enabled by web 2.0 technologies, bring to the scenario where the sharing of structured and interoperable data will constitute the unavoidable building block to set up a new paradigm of scientific research. In this perspective the Institute of Biometeorology, CNR, whose aim is contributing to sharing and development of research data, has developed the "SensorWebHub" (SWH) infrastructure to support the scientific activities carried out in several research projects at national and international level. It is designed to manage both mobile and fixed open source meteorological and environmental sensors, in order to integrate the existing agro-meteorological and urban monitoring networks. The proposed architecture uses open source tools to ensure sustainability in the development and deployment of web applications with geographic features and custom analysis, as requested by the different research projects. The SWH components are organized in typical client-server architecture and interact from the sensing process to the representation of the results to the end-users. The Web Application enables to view and analyse the data stored in the GeoDB. The interface is designed following Internet browsers specifications allowing the visualization of collected data in different formats (tabular, chart and geographic map). The services for the dissemination of geo-referenced information, adopt the OGC specifications. SWH is a bottom-up collaborative initiative to share real time research data and pave the way for a open innovation approach in the scientific research. Until now this framework has been used for several WebGIS applications and WebApp for environmental monitoring at different temporal and spatial scales.

Lost in Translation

NASA Astrophysics Data System (ADS)

Lass, Wiebke; Reusswig, Fritz

2014-05-01

Lost in Translation? Introducing Planetary Boundaries into Social Systems. Fritz Reusswig, Wiebke Lass Potsdam Institute for Climate Impact Research, Potsdam, Germany Identifying and quantifying planetary boundaries by interdisciplinary science efforts is a challenging task—and a risky one, as the 1972 Limits to Growth publication has shown. Even if we may be assured that scientific understanding of underlying processes of the Earth system has significantly improved since then, the challenge of translating these findings into the social systems of the planet remains crucial for any kind of action, and in many respects far more challenging. We would like to conceptualize what could also be termed a problem of coupling social and natural systems as a nested set of social translation processes, well aware of the limited applicability of the language-related translation metaphor. Societies must, first, perceive these boundaries, and they have to understand their relevance. This includes, among many other things, the organization of transdisciplinary scientific cooperation. They will then have to translate this understood perception into possible actions, i.e. strategies for different local bodies, actors, and institutional settings. This implies a lot of 'internal' translation processes, e.g. from the scientific subsystem to the mass media, the political and the economic subsystem. And it implies to develop subsystem-specific schemes of evaluation for these alternatives, e.g. convincing narratives, cost-benefit analyses, or ethical legitimacy considerations. And, finally, societies do have to translate chosen action alternatives into monitoring and evaluation schemes, e.g. for agricultural production or renewable energies. This process includes the continuation of observing and re-analyzing the planetary boundary concept itself, as a re-adjustment of these boundaries in the light of new scientific insights cannot be excluded. Taken all together, societies may well get lost in translation here—and we have not yet mentioned the societal management of other problems, such as wars and civil wars, or 'taming' the global financial markets. After having sketched this conceptual outline in some detail, we would like to focus on three planetary boundaries for illustrative purposes: GHG emissions, nitrogen fertilization, and biodiversity loss, and highlight some similarities as well as dissimilarities in the social translation processes involved. We would limit the range of examples to the EU, USA, and India. In a last step, we would like to illustrate a promising way of translating one specific planetary boundary—anthropogenic climate change—by a case study on how it is translated into urban energy and climate policies with the example of climate neutral Berlin 2050.

Partners in Science: A Suggested Framework for Inclusive Research

NASA Astrophysics Data System (ADS)

Pandya, R. E.

2012-12-01

Public participation in scientific research, also known as citizen science, is effective on many levels: it produces sound, publishable science and data, helps participants gain scientific knowledge and learn about the methods and practices of modern science, and can help communities advance their own priorities. Unfortunately, the demographics of citizen science programs do not reflect the demographics of the US; in general people of color and less affluent members of society are under-represented. To understand the reasons for this disparity, it is useful to look to the broader research about participation in science in a variety of informal and formal settings. From this research, the causes for unequal participation in science can be grouped into three broad categories: accessibility challenges, cultural differences, and a gap between scientific goals and community priorities. Many of these challenges are addressed in working with communities to develop an integrated program of scientific research, education, and community action that addresses community priorities and invites community participation at every stage of the process from defining the question to applying the results. In the spectrum of ways to engage the public in scientific research, this approach of "co-creation" is the most intensive. This talk will explore several examples of co-creation of science, including collaborations with tribal communities around climate change adaptation, work in the Louisiana Delta concerning land loss, and the link between weather and disease in Africa. We will articulate some of the challenges of working this intensively with communities, and suggest a general framework for guiding this kind of work with communities. This model of intensive collaboration at every stage is a promising one for adding to the diversity of citizen science efforts. It also provides a powerful strategy for science more generally, and may help us diversify our field, ensure the use and usability of our science, and help strengthen public support for and acceptance of scientific results.

The difficulties of systematic reviews.

PubMed

Westgate, Martin J; Lindenmayer, David B

2017-10-01

The need for robust evidence to support conservation actions has driven the adoption of systematic approaches to research synthesis in ecology. However, applying systematic review to complex or open questions remains challenging, and this task is becoming more difficult as the quantity of scientific literature increases. We drew on the science of linguistics for guidance as to why the process of identifying and sorting information during systematic review remains so labor intensive, and to provide potential solutions. Several linguistic properties of peer-reviewed corpora-including nonrandom selection of review topics, small-world properties of semantic networks, and spatiotemporal variation in word meaning-greatly increase the effort needed to complete the systematic review process. Conversely, the resolution of these semantic complexities is a common motivation for narrative reviews, but this process is rarely enacted with the rigor applied during linguistic analysis. Therefore, linguistics provides a unifying framework for understanding some key challenges of systematic review and highlights 2 useful directions for future research. First, in cases where semantic complexity generates barriers to synthesis, ecologists should consider drawing on existing methods-such as natural language processing or the construction of research thesauri and ontologies-that provide tools for mapping and resolving that complexity. These tools could help individual researchers classify research material in a more robust manner and provide valuable guidance for future researchers on that topic. Second, a linguistic perspective highlights that scientific writing is a rich resource worthy of detailed study, an observation that can sometimes be lost during the search for data during systematic review or meta-analysis. For example, mapping semantic networks can reveal redundancy and complementarity among scientific concepts, leading to new insights and research questions. Consequently, wider adoption of linguistic approaches may facilitate improved rigor and richness in research synthesis. © 2017 Society for Conservation Biology.

Implicit Learning in Science: Activating and Suppressing Scientific Intuitions to Enhance Conceptual Change

NASA Astrophysics Data System (ADS)

Wang, Jeremy Yi-Ming

This dissertation examines the thesis that implicit learning plays a role in learning about scientific phenomena, and subsequently, in conceptual change. Decades of research in learning science demonstrate that a primary challenge of science education is overcoming prior, naive knowledge of natural phenomena in order to gain scientific understanding. Until recently, a key assumption of this research has been that to develop scientific understanding, learners must abandon their prior scientific intuitions and replace them with scientific concepts. However, a growing body of research shows that scientific intuitions persist, even among science experts. This suggests that naive intuitions are suppressed, not supplanted, as learners gain scientific understanding. The current study examines two potential roles of implicit learning processes in the development of scientific knowledge. First, implicit learning is a source of cognitive structures that impede science learning. Second, tasks that engage implicit learning processes can be employed to activate and suppress prior intuitions, enhancing the likelihood that scientific concepts are adopted and applied. This second proposal is tested in two experiments that measure training-induced changes in intuitive and conceptual knowledge related to sinking and floating objects in water. In Experiment 1, an implicit learning task was developed to examine whether implicit learning can induce changes in performance on near and far transfer tasks. The results of this experiment provide evidence that implicit learning tasks activate and suppress scientific intuitions. Experiment 2 examined the effects of combining implicit learning with traditional, direct instruction to enhance explicit learning of science concepts. This experiment demonstrates that sequencing implicit learning task before and after direct instruction has different effects on intuitive and conceptual knowledge. Together, these results suggest a novel approach for enhancing learning for conceptual change in science education.

Ethical challenges for using human cells in clinical cell therapy.

PubMed

Hermerén, Göran

2012-01-01

In this chapter, different challenges for using human cells in clinical cell therapy are identified and discussed. Several types of challenges are defined and described, with particular attention to the relation between ethical and scientific challenges. Some challenges are cell and disease specific: they are raised by research on special types of cells with certain methods in order to pave the way for cell therapies of particular diseases. But since scientific work is carried out in a societal and value-loaded context, the relations between scientific, ethical, and regulatory challenges are complex. Three theses are first discussed: there is not one fixed list of ethical challenges, some challenges are disease and cell type specific; there are challenges at all stages of the translation from bench to bedside, and the challenges are related to the various stages of translation. Moreover, experimental and ethical research needs to be integrated. Finally, a fourth thesis is suggested: if a constructive and well-argued position is desired, it is necessary to be specific not only about the scientific details but also about the value premises. Everybody is for justice, integrity, and respect for persons. But what precisely does this mean when it is applied to the choices scientists and regulators have to face in their daily work? Copyright © 2012 Elsevier B.V. All rights reserved.

Scientific governance and the process for exposure scenario development in REACH.

PubMed

Money, Chris D; Van Hemmen, Joop J; Vermeire, Theo G

2007-12-01

The primary process established by the European Commission to address the science needed to define key REACH concepts and to help rationally implement REACH's ambitions is enshrined in a series of activities known as the REACH Implementation Projects (RIPs). These are projects that aim to define the methodology that could be used, and present the basis for guidance on the actual principles and procedures that may be (are proposed to be) followed in the development of the required documentation that ensures the safe use of chemicals. In order to develop soundly based and equitable regulation, it is necessary that science governance using established and accepted scientific principles must take a leading role. The extent to which such governance is embraced will be determined by many factors, but notably the process adopted to enable scientific discussion to take place. This article addresses the issues of science as they have impacted on the exemplification of the Exposure Scenario concept under REACH. The current RIP activities have created a non-adversarial process in which the key stakeholders are able to discuss the key REACH challenges. But the RIP activities will be finalised before REACH comes into force. A suitable mechanism should perhaps now be identified to ensure that this positive spirit of scientific discussion and collaboration can continue to benefit REACH and those that it serves well into the future.

Big Data Provenance: Challenges, State of the Art and Opportunities

PubMed Central

Wang, Jianwu; Crawl, Daniel; Purawat, Shweta; Nguyen, Mai; Altintas, Ilkay

2017-01-01

Ability to track provenance is a key feature of scientific workflows to support data lineage and reproducibility. The challenges that are introduced by the volume, variety and velocity of Big Data, also pose related challenges for provenance and quality of Big Data, defined as veracity. The increasing size and variety of distributed Big Data provenance information bring new technical challenges and opportunities throughout the provenance lifecycle including recording, querying, sharing and utilization. This paper discusses the challenges and opportunities of Big Data provenance related to the veracity of the datasets themselves and the provenance of the analytical processes that analyze these datasets. It also explains our current efforts towards tracking and utilizing Big Data provenance using workflows as a programming model to analyze Big Data. PMID:29399671

The State of the NIH BRAIN Initiative.

PubMed

Koroshetz, Walter; Gordon, Joshua; Adams, Amy; Beckel-Mitchener, Andrea; Churchill, James; Farber, Gregory; Freund, Michelle; Gnadt, Jim; Hsu, Nina; Langhals, Nicholas; Lisanby, Sarah; Liu, Guoying; Peng, Grace; Ramos, Khara; Steinmetz, Michael; Talley, Edmund; White, Samantha

2018-06-19

The BRAIN Initiative® arose from a grand challenge to "accelerate the development and application of new technologies that will enable researchers to produce dynamic pictures of the brain that show how individual brain cells and complex neural circuits interact at the speed of thought." The BRAIN Initiative is a public-private effort focused on the development and use of powerful tools for acquiring fundamental insights about how information processing occurs in the central nervous system. As the Initiative enters its fifth year, NIH has supported over 500 principal investigators, who have answered the Initiative's challenge via hundreds of publications describing novel tools, methods, and discoveries that address the Initiative's seven scientific priorities. We describe scientific advances produced by individual labs, multi-investigator teams, and entire consortia that, over the coming decades, will produce more comprehensive and dynamic maps of the brain, deepen our understanding of how circuit activity can produce a rich tapestry of behaviors, and lay the foundation for understanding how its circuitry is disrupted in brain disorders. Much more work remains to bring this vision to fruition, and NIH continues to look to the diverse scientific community, from mathematics, to physics, chemistry, engineering, neuroethics, and neuroscience, to ensure that the greatest scientific benefit arises from this unique research Initiative. Copyright © 2018 the authors.

Validation of Alternative In Vitro Methods to Animal Testing: Concepts, Challenges, Processes and Tools.

PubMed

Griesinger, Claudius; Desprez, Bertrand; Coecke, Sandra; Casey, Warren; Zuang, Valérie

This chapter explores the concepts, processes, tools and challenges relating to the validation of alternative methods for toxicity and safety testing. In general terms, validation is the process of assessing the appropriateness and usefulness of a tool for its intended purpose. Validation is routinely used in various contexts in science, technology, the manufacturing and services sectors. It serves to assess the fitness-for-purpose of devices, systems, software up to entire methodologies. In the area of toxicity testing, validation plays an indispensable role: "alternative approaches" are increasingly replacing animal models as predictive tools and it needs to be demonstrated that these novel methods are fit for purpose. Alternative approaches include in vitro test methods, non-testing approaches such as predictive computer models up to entire testing and assessment strategies composed of method suites, data sources and decision-aiding tools. Data generated with alternative approaches are ultimately used for decision-making on public health and the protection of the environment. It is therefore essential that the underlying methods and methodologies are thoroughly characterised, assessed and transparently documented through validation studies involving impartial actors. Importantly, validation serves as a filter to ensure that only test methods able to produce data that help to address legislative requirements (e.g. EU's REACH legislation) are accepted as official testing tools and, owing to the globalisation of markets, recognised on international level (e.g. through inclusion in OECD test guidelines). Since validation creates a credible and transparent evidence base on test methods, it provides a quality stamp, supporting companies developing and marketing alternative methods and creating considerable business opportunities. Validation of alternative methods is conducted through scientific studies assessing two key hypotheses, reliability and relevance of the test method for a given purpose. Relevance encapsulates the scientific basis of the test method, its capacity to predict adverse effects in the "target system" (i.e. human health or the environment) as well as its applicability for the intended purpose. In this chapter we focus on the validation of non-animal in vitro alternative testing methods and review the concepts, challenges, processes and tools fundamental to the validation of in vitro methods intended for hazard testing of chemicals. We explore major challenges and peculiarities of validation in this area. Based on the notion that validation per se is a scientific endeavour that needs to adhere to key scientific principles, namely objectivity and appropriate choice of methodology, we examine basic aspects of study design and management, and provide illustrations of statistical approaches to describe predictive performance of validated test methods as well as their reliability.

"Discovering Plate Boundaries in Data-Rich Environments": Supporting Pre-service Teachers involvement in Unique Practices of Geosciences

NASA Astrophysics Data System (ADS)

Barrie, A. S.; Moore, J.

2012-12-01

Plate tectonics is one of the core scientific concepts in both the NRC K-12 standards documents (#ESS2.B) and College Board Standards for Science (#ES.1.3). These documents also mention the scientific practices expected to improve as students are learning plate tectonics: interpreting data based on their observations of maps and argumentation around the evidence based on data. Research on students' understanding of maps emphasizes the difficulty of reading maps in science classrooms.We are conducting an ethnographic case study of the process of learning and teaching by novice teachers in the middle school science major at a mid-Atlantic University. The participants of the study are third-year majors (in the middle school science program and middle students at a suburban middle school. The study uses the data from four different fields (geography, geochronology, volcanology and seismology) to help involve preservice teachers in the practices of geosciences.The data for the study includes video and audio records of novice teachers' learning and teaching processes as well as teachers' reflections about their learning and on teaching Plate Tectonics by using real data. The video and audio data will be compiled and synthesized into event maps and transcripts, which are necessary for sociolinguistic analysis. Event maps provide an overall view of the events and are used to map the learning and teaching events into timely sequences and phases based on the subtopics and types of educational activities. Transcripts cover in detail the discussion and activity observed at each phase of the learning and teaching events. After compilation, event maps and transcripts will be analyzed by using Discourse analysis with an ethnographic perspective in order to identify novice teachers' challenges and the improvement they want to make on their teaching and assessment artifacts. The preliminary findings of the project identified challenges faced by novice teachers learning and teaching plate tectonics using key scientific practices. As a result of the educational activities developed in this project, we will try help teachers to overcome their challenges and develop the pedagogical skills that novice teachers need to use to teach plate tectonics by focusing on key scientific practices with the help of previously-developed educational resources. Learning about the processes that occur at plate boundaries will help future teachers (and their students) understand natural disasters such as earthquakes and volcanoes. Furthermore, the study will have a significant, and broader, impact by 'teaching the teachers' and empowering novice teachers to overcome the challenges of reading maps and using argumentation in science classrooms.

Anticipatory Governance: Bioethical Expertise for Human/Animal Chimeras

PubMed Central

Harvey, Alison; Salter, Brian

2012-01-01

The governance demands generated by the use of human/animal chimeras in scientific research offer both a challenge and an opportunity for the development of new forms of anticipatory governance through the novel application of bioethical expertise. Anticipatory governance can be seen to have three stages of development whereby bioethical experts move from a reactive to a proactive stance at the edge of what is scientifically possible. In the process, the ethicists move upstream in their engagement with the science of human-to-animal chimeras. To what extent is the anticipatory coestablishment of the principles and operational rules of governance at this early stage in the development of the human-to-animal research field likely to result in a framework for bioethical decision making that is in support of science? The process of anticipatory governance is characterised by the entwining of the scientific and the philosophical so that judgements against science are also found to be philosophically unfounded, and conversely, those activities that are permissible are deemed so on both scientific and ethical grounds. Through what is presented as an organic process, the emerging bioethical framework for human-to-animal chimera research becomes a legitimating framework within which ‘good’ science can safely progress. Science gives bioethical expertise access to new governance territory; bioethical expertise gives science access to political acceptability. PMID:23576848

SEAS (Student Experiments At Sea): Helping Teachers Foster Authentic Student Inquiry in the Science Classroom

NASA Astrophysics Data System (ADS)

Goehring, L.; Kelsey, K.; Carlson, J.

2005-12-01

Teacher professional development designed to promote authentic research in the classroom is ultimately aimed at improving student scientific literacy. In addition to providing teachers with opportunities to improve their understanding of science through research experiences, we need to help facilitate similar learning in students. This is the focus of the SEAS (Student Experiments At Sea) program: to help students learn science by doing science. SEAS offers teachers tools and a framework to help foster authentic student inquiry in the classroom. SEAS uses the excitement of deep-sea research, as well as the research facilities and human resources that comprise the deep-sea scientific community, to engage student learners. Through SEAS, students have the opportunity to practice inquiry skills and participate in research projects along side scientists. SEAS is a pilot program funded by NSF and sponsored by the Ridge 2000 research community. The pilot includes inquiry-based curricular materials, facilitated interaction with scientists, opportunities to engage students in research projects, and teacher training. SEAS offers a framework of resources designed to help translate inquiry skills and approaches to the classroom environment, recognizing the need to move students along the continuum of scientific inquiry skills. This framework includes hands-on classroom lessons, Classroom to Sea labs where students compare their investigations with at-sea investigations, and a student experiment competition. The program also uses the Web to create a virtual ``scientific community'' including students. Lessons learned from this two year pilot emphasize the importance of helping teachers feel knowledgeable and experienced in the process of scientific inquiry as well as in the subject. Teachers with experience in scientific research were better able to utilize the program. Providing teachers with access to scientists as a resource was also important, particularly given the challenges of working in the deep-sea environment. Also, fostering authentic student investigations (i.e., working through preparatory materials, developing proposals, analyzing data and writing summary reports) is challenging to fit within the academic year. Nonetheless, teacher feedback highlights that the excitement generated by participation in real research is highly motivating. Further, students experience a ``paradigm shift'' in understanding evidence-based reasoning and the process of scientific discovery.

Scientific challenges in shrubland ecosystems

Treesearch

William T. Sommers

2001-01-01

A primary goal in land management is to sustain the health, diversity, and productivity of the country’s rangelands and shrublands for future generations. This type of sustainable management is to assure the availability and appropriate use of scientific information for decisionmaking. Some of most challenging scientific problems of shrubland ecosystem management are...

Enabling the SMART Wind Power Plant of the Future Through Science-Based Innovation

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dykes, Katherine L.; Hand, M. M.; Lantz, Eric J.

This report describes the scientific challenges facing wind energy today and the recent scientific advancements that position the research community to tackle those challenges, as well as the new U.S. Department of Energy applied research program Atmosphere to Electrons that takes an integrated approach to addressing those challenges. It also ties these resulting scientific accomplishments to future technological innovation and quantifies the impact of that collection of innovations on 2030 wind power cost of energy.

Controlling birth: science, politics, and public policy.

PubMed

Russo, Nancy Felipe; Denious, Jean E

2005-03-01

Reproductive technologies raise a host of social and legal issues that challenge basic values and create intense controversy. If researchers wish to inform public policies related to reproductive technologies, they must understand how the scientific enterprise is being manipulated and research findings are being misrepresented to justify a particular social agenda and restrict access to contraception and abortion. To counter these distortions, scientists must defend the science advisory process, be involved in dissemination of their research findings beyond simply publication in scientific journals, and actively work to ensure that the findings are not misrepresented to the public.

The Emergency Department: Challenges and Opportunities for Suicide Prevention.

PubMed

Asarnow, Joan Rosenbaum; Babeva, Kalina; Horstmann, Elizabeth

2017-10-01

Emergency departments (EDs) can offer life-saving suicide prevention care. This article focuses on the ED and emergency services as service delivery sites for suicide prevention. Characteristics of EDs, models of emergency care, ED screening and brief intervention models, and practice guidelines and parameters are reviewed. A care process model for youths at risk for suicide and self-harm is presented, with guidance for clinicians based on the scientific evidence. Strengthening emergency infrastructure and integrating effective suicide prevention strategies derived from scientific research are critical for advancing suicide prevention objectives. Copyright © 2017 Elsevier Inc. All rights reserved.

[Judicial institutions of medical experts].

PubMed

Godoy, Roberto Lm

2016-05-01

This article considers the evolutive process that judicial organisms of medical experts have experienced in Argentina since their creation and formulates a proposal for its adequacy and modernization. Due to multiple and various evolutive factors, judicial organisms managing medicolegal expert activities show, nowadays, signals that a structural and dynamic reform is needed. They remain as organizational units of Public Administration and their effectiveness and efficiency depends not only of a scientific criteria but a managing one. The present and future challenge will be their conceptual transformation, from "corporate scientific entities" to "public-service-providing units" within the justice administration system.

Interactive, Online, Adsorption Lab to Support Discovery of the Scientific Process

NASA Astrophysics Data System (ADS)

Carroll, K. C.; Ulery, A. L.; Chamberlin, B.; Dettmer, A.

2014-12-01

Science students require more than methods practice in lab activities; they must gain an understanding of the application of the scientific process through lab work. Large classes, time constraints, and funding may limit student access to science labs, denying students access to the types of experiential learning needed to motivate and develop new scientists. Interactive, discovery-based computer simulations and virtual labs provide an alternative, low-risk opportunity for learners to engage in lab processes and activities. Students can conduct experiments, collect data, draw conclusions, and even abort a session. We have developed an online virtual lab, through which students can interactively develop as scientists as they learn about scientific concepts, lab equipment, and proper lab techniques. Our first lab topic is adsorption of chemicals to soil, but the methodology is transferrable to other topics. In addition to learning the specific procedures involved in each lab, the online activities will prompt exploration and practice in key scientific and mathematical concepts, such as unit conversion, significant digits, assessing risks, evaluating bias, and assessing quantity and quality of data. These labs are not designed to replace traditional lab instruction, but to supplement instruction on challenging or particularly time-consuming concepts. To complement classroom instruction, students can engage in a lab experience outside the lab and over a shorter time period than often required with real-world adsorption studies. More importantly, students can reflect, discuss, review, and even fail at their lab experience as part of the process to see why natural processes and scientific approaches work the way they do. Our Media Productions team has completed a series of online digital labs available at virtuallabs.nmsu.edu and scienceofsoil.com, and these virtual labs are being integrated into coursework to evaluate changes in student learning.

Research ethics and Institutional Review Boards. The influence of moral constraints on emotion research.

PubMed

Sontag, Michael

2012-01-01

Researchers in the twenty-first century face a set of challenges unknown to researchers a half century ago--the need to justify the moral acceptability of their research methods through formal review processes. However, the role that moral constraints play in the development and demise of scientific theories has largely gone unappreciated. The rise of Institutional Review Boards (IRB) in the 1960s compounded the impact of moral constraints on scientific research and on the theories that develop out of such highly monitored research. To demonstrate the effects of moral constraints on scientific theory and research, this paper offers a history and analysis of the interaction between evolving moral standards and twentieth century emotion theory. Recommendations regarding IRB reform are also reviewed. The paper concludes by arguing that, while appropriate IRB reform is important, it cannot eliminate the need for careful reflection on the broader forces that shape scientific practice and understanding.

Equality of opportunities in geosciences: The EGU Awards Committee experience

NASA Astrophysics Data System (ADS)

Karatekin, Özgür

2017-04-01

Scientists are evaluated on the basis of creativity and productivity, and their scientific excellence are rewarded by scientific associations. Providing equal opportunities and ensuring balance is a strict necessity when recognizing scientific excellence. The processes and procedures that lead to the recognition of excellence has to be transparent and free of gender biases. However, establishment of clear and transparent evaluation criteria and performance metrics in order to provide equal opportunities to researchers across gender, continents and ethnic groups can be challenging since the definition of scientific excellence is elusive. This talk aims to present the experience and the efforts of the European Geosciences Union to ensure balance, with a particular focus on gender balance. Data and statistics will be presented in the attempt to provide constructive indications to get to the target of giving equal opportunities to researchers across gender, continents and ethnic groups.

Embedding Scientific Integrity and Ethics into the Scientific Process and Research Data Lifecycle

NASA Astrophysics Data System (ADS)

Gundersen, L. C.

2016-12-01

Predicting climate change, developing resources sustainably, and mitigating natural hazard risk are complex interdisciplinary challenges in the geosciences that require the integration of data and knowledge from disparate disciplines and scales. This kind of interdisciplinary science can only thrive if scientific communities work together and adhere to common standards of scientific integrity, ethics, data management, curation, and sharing. Science and data without integrity and ethics can erode the very fabric of the scientific enterprise and potentially harm society and the planet. Inaccurate risk analyses of natural hazards can lead to poor choices in construction, insurance, and emergency response. Incorrect assessment of mineral resources can bankrupt a company, destroy a local economy, and contaminate an ecosystem. This paper presents key ethics and integrity questions paired with the major components of the research data life cycle. The questions can be used by the researcher during the scientific process to help ensure the integrity and ethics of their research and adherence to sound data management practice. Questions include considerations for open, collaborative science, which is fundamentally changing the responsibility of scientists regarding data sharing and reproducibility. The publication of primary data, methods, models, software, and workflows must become a norm of science. There are also questions that prompt the scientist to think about the benefit of their work to society; ensuring equity, respect, and fairness in working with others; and always striving for honesty, excellence, and transparency.

Publishing Platform for Scientific Software - Lessons Learned

NASA Astrophysics Data System (ADS)

Hammitzsch, Martin; Fritzsch, Bernadette; Reusser, Dominik; Brembs, Björn; Deinzer, Gernot; Loewe, Peter; Fenner, Martin; van Edig, Xenia; Bertelmann, Roland; Pampel, Heinz; Klump, Jens; Wächter, Joachim

2015-04-01

Scientific software has become an indispensable commodity for the production, processing and analysis of empirical data but also for modelling and simulation of complex processes. Software has a significant influence on the quality of research results. For strengthening the recognition of the academic performance of scientific software development, for increasing its visibility and for promoting the reproducibility of research results, concepts for the publication of scientific software have to be developed, tested, evaluated, and then transferred into operations. For this, the publication and citability of scientific software have to fulfil scientific criteria by means of defined processes and the use of persistent identifiers, similar to data publications. The SciForge project is addressing these challenges. Based on interviews a blueprint for a scientific software publishing platform and a systematic implementation plan has been designed. In addition, the potential of journals, software repositories and persistent identifiers have been evaluated to improve the publication and dissemination of reusable software solutions. It is important that procedures for publishing software as well as methods and tools for software engineering are reflected in the architecture of the platform, in order to improve the quality of the software and the results of research. In addition, it is necessary to work continuously on improving specific conditions that promote the adoption and sustainable utilization of scientific software publications. Among others, this would include policies for the development and publication of scientific software in the institutions but also policies for establishing the necessary competencies and skills of scientists and IT personnel. To implement the concepts developed in SciForge a combined bottom-up / top-down approach is considered that will be implemented in parallel in different scientific domains, e.g. in earth sciences, climate research and the life sciences. Based on the developed blueprints a scientific software publishing platform will be iteratively implemented, tested, and evaluated. Thus the platform should be developed continuously on the basis of gained experiences and results. The platform services will be extended one by one corresponding to the requirements of the communities. Thus the implemented platform for the publication of scientific software can be improved and stabilized incrementally as a tool with software, science, publishing, and user oriented features.

Challenges to Inquiry Teaching and Suggestions for How to Meet Them

ERIC Educational Resources Information Center

Quigley, Cassie; Marshall, Jeff C.; Deaton, Cynthia C. M.; Cook, Michelle P.; Padilla, Michael

2011-01-01

Inquiry has been cited as an essential goal of science education for decades. While terminology has evolved over time, the notion that students need to apply various analytic and thought related skills in order to better learn underlying scientific concepts and processes, remains central to science education. This article looks at four major…

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jain, Atul K.

The overall objectives of this DOE funded project is to combine scientific and computational challenges in climate modeling by expanding our understanding of the biogeophysical-biogeochemical processes and their interactions in the northern high latitudes (NHLs) using an earth system modeling (ESM) approach, and by adopting an adaptive parallel runtime system in an ESM to achieve efficient and scalable climate simulations through improved load balancing algorithms.

Analysis of potential impacts of climate change on wildlife habitats in the U.S.

Treesearch

Linda A. Joyce; Curtis H. Flather; Marni Koopman

2008-01-01

Resource managers face many challenges in developing management recommendations for wildlife habitat under a changing climate. Our research results offer states a more consistent and holistic approach to analyzing potential threats of climate change to terrestrial wildlife habitat. This process integrates a review of the scientific literature, the State Wildlife Action...

On the evolving open peer review culture for chemical information science.

PubMed

Walters, W Patrick; Bajorath, Jürgen

2015-01-01

Compared to the traditional anonymous peer review process, open post-publication peer review provides additional opportunities -and challenges- for reviewers to judge scientific studies. In this editorial, we comment on the open peer review culture and provide some guidance for reviewers of manuscripts submitted to the Chemical Information Science channel of F1000Research.

Using Student-Developed, Inquiry-Based Experiments to Investigate the Contributions of Ca and Mg to Water Hardness

ERIC Educational Resources Information Center

Yang, Shui-Ping; Li, Chung-Chia

2009-01-01

This study provided a challenging opportunity for general chemistry students to mimic the scientific research process by solving a water-quality problem concerning individual calcium and magnesium concentrations. We found that general chemistry students were able to develop their own experiments to solve real-world, multivariable problems through…

An Authentic Voice in the Technocratic Wilderness: Alaskan Natives and the "Tundra Times."

ERIC Educational Resources Information Center

Daley, Patrick; James, Beverly

1986-01-01

Examines a pair of critical challenges to the cultural integrity of Alaskan Natives around 1960 as pivotal episodes in the process of native resistance to U. S. dominance. Historically evaluates the fragility of native culture in terms of the political, scientific, and economic interests expressed in the mainstream Alaskan press, particularly the…

The Evolution of Software Publication in Astronomy

NASA Astrophysics Data System (ADS)

Cantiello, Matteo

2018-01-01

Software is a fundamental component of the scientific research process. As astronomical discoveries increasingly rely on complex numerical calculations and the analysis of big data sets, publishing and documenting software is a fundamental step in ensuring transparency and reproducibility of results. I will briefly discuss the recent history of software publication and highlight the challenges and opportunities ahead.

Personal Inquiry Learning Trajectories in Geography: Technological Support across Contexts

ERIC Educational Resources Information Center

Kerawalla, Lucinda; Littleton, Karen; Scanlon, Eileen; Jones, Ann; Gaved, Mark; Collins, Trevor; Mulholland, Paul; Blake, Canan; Clough, Gill; Conole, Gráinne; Petrou, Marilena

2013-01-01

Student engagement in the design and implementation of inquiries is an effective way for them to learn about the inquiry process and the domain being studied. However, inquiry learning in geography can be challenging for teachers and students due to the complexity of scientific inquiry and the diversity of pupils' and teachers' knowledge and…

The Teaching of Anthropogenic Climate Change and Earth Science via Technology-Enabled Inquiry Education

ERIC Educational Resources Information Center

Bush, Drew; Sieber, Renee; Seiler, Gale; Chandler, Mark

2016-01-01

A gap has existed between the tools and processes of scientists working on anthropogenic global climate change (AGCC) and the technologies and curricula available to educators teaching the subject through student inquiry. Designing realistic scientific inquiry into AGCC poses a challenge because research on it relies on complex computer models,…

The Effect of Hyperventilation on the Ability To Hold One's Breath: Testing the Influence of Beliefs versus Physiology.

ERIC Educational Resources Information Center

Given, Mac F.

1997-01-01

Reports on a simple classroom exercise that investigates whether students' beliefs of what they think should happen influences their measurements. The exercise also provides a framework for discussing the challenges that human belief systems bring to the discipline of using the scientific process. Results suggest that students' preconceived…

Microscopy Images as Interactive Tools in Cell Modeling and Cell Biology Education

ERIC Educational Resources Information Center

Araujo-Jorge, Tania C.; Cardona, Tania S.; Mendes, Claudia L. S.; Henriques-Pons, Andrea; Meirelles, Rosane M. S.; Coutinho, Claudia M. L. M.; Aguiar, Luiz Edmundo V.; Meirelles, Maria de Nazareth L.; de Castro, Solange L.; Barbosa, Helene S.; Luz, Mauricio R. M. P.

2004-01-01

The advent of genomics, proteomics, and microarray technology has brought much excitement to science, both in teaching and in learning. The public is eager to know about the processes of life. In the present context of the explosive growth of scientific information, a major challenge of modern cell biology is to popularize basic concepts of…

Challenges and Successes Managing Airborne Science Data for CARVE

NASA Astrophysics Data System (ADS)

Hardman, S. H.; Dinardo, S. J.; Lee, E. C.

2014-12-01

The Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission collects detailed measurements of important greenhouse gases on local to regional scales in the Alaskan Arctic and demonstrates new remote sensing and improved modeling capabilities to quantify Arctic carbon fluxes and carbon cycle-climate processes. Airborne missions offer a number of challenges when it comes to collecting and processing the science data and CARVE is no different. The biggest challenge relates to the flexibility of the instrument payload. Within the life of the mission, instruments may be removed from or added to the payload, or even reconfigured on a yearly, monthly or daily basis. Although modification of the instrument payload provides a distinct advantage for airborne missions compared to spaceborne missions, it does tend to wreak havoc on the underlying data system when introducing changes to existing data inputs or new data inputs that require modifications to the pipeline for processing the data. In addition to payload flexibility, it is not uncommon to find unsupported files in the field data submission. In the case of CARVE, these include video files, photographs taken during the flight and screen shots from terminal displays. These need to captured, saved and somehow integrated into the data system. The CARVE data system was built on a multi-mission data system infrastructure for airborne instruments called the Airborne Cloud Computing Environment (ACCE). ACCE encompasses the end-to-end lifecycle covering planning, provisioning of data system capabilities, and support for scientific analysis in order to improve the quality, cost effectiveness, and capabilities to enable new scientific discovery and research in earth observation. This well-tested and proven infrastructure allows the CARVE data system to be easily adapted in order to handle the challenges posed by the CARVE mission and to successfully process, manage and distribute the mission's science data. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration

Curriculum Alignment with Vision and Change Improves Student Scientific Literacy.

PubMed

Auerbach, Anna Jo; Schussler, Elisabeth E

2017-01-01

The Vision and Change in Undergraduate Biology Education final report challenged institutions to reform their biology courses to focus on process skills and student active learning, among other recommendations. A large southeastern university implemented curricular changes to its majors' introductory biology sequence in alignment with these recommendations. Discussion sections focused on developing student process skills were added to both lectures and a lab, and one semester of lab was removed. This curriculum was implemented using active-learning techniques paired with student collaboration. This study determined whether these changes resulted in a higher gain of student scientific literacy by conducting pre/posttesting of scientific literacy for two cohorts: students experiencing the unreformed curriculum and students experiencing the reformed curriculum. Retention of student scientific literacy for each cohort was also assessed 4 months later. At the end of the academic year, scientific literacy gains were significantly higher for students in the reformed curriculum ( p = 0.005), with those students having double the scientific literacy gains of the cohort in the unreformed curriculum. Retention of scientific literacy did not differ between the cohorts. © 2017 A. J. Auerbach and E. E. Schussler. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

The hazards of hazard identification in environmental epidemiology.

PubMed

Saracci, Rodolfo

2017-08-09

Hazard identification is a major scientific challenge, notably for environmental epidemiology, and is often surrounded, as the recent case of glyphosate shows, by debate arising in the first place by the inherently problematic nature of many components of the identification process. Particularly relevant in this respect are components less amenable to logical or mathematical formalization and essentially dependent on scientists' judgment. Four such potentially hazardous components that are capable of distorting the correct process of hazard identification are reviewed and discussed from an epidemiologist perspective: (1) lexical mix-up of hazard and risk (2) scientific questions as distinct from testable hypotheses, and implications for the hierarchy of strength of evidence obtainable from different types of study designs (3) assumptions in prior beliefs and model choices and (4) conflicts of interest. Four suggestions are put forward to strengthen a process that remains in several aspects judgmental, but not arbitrary, in nature.

Broadening Participation in the Sciences within and from Africa: Purpose, Challenges, and Prospects

ERIC Educational Resources Information Center

Okeke, Iruka N.; Babalola, Chinedum P.; Byarugaba, Denis K.; Djimde, Abdoulaye; Osoniyi, Omolaja R.

2017-01-01

Many of Africa's challenges have scientific solutions, but there are fewer individuals engaged in scientific activity per capita on this continent than on any other. Only a handful of African scientists use their skills to capacity or are leaders in their disciplines. Underrepresentation of Africans in scientific practice, discourse, and decision…

Hybrid photocathodes for solar fuel production: coupling molecular fuel-production catalysts with solid-state light harvesting and conversion technologies.

PubMed

Cedeno, Diana; Krawicz, Alexandra; Moore, Gary F

2015-06-06

Artificial photosynthesis is described as the great scientific and moral challenge of our time. We imagine a future where a significant portion of our energy is supplied by such technologies. However, many scientific, engineering and policy challenges must be addressed for this realization. Scientific challenges include the development of effective strategies to couple light absorption, electron transfer and catalysis for efficient conversion of light energy to chemical energy as well as the construction and study of structurally diverse assemblies to carry out these processes. In this article, we review recent efforts from our own research to develop a modular approach to interfacing molecular fuel-production catalysts to visible-light-absorbing semiconductors and discuss the role of the interfacing material as a protection layer for the catalysts as well as the underpinning semiconductor. In concluding, we briefly discuss the potential benefits of a globally coordinated project on artificial photosynthesis that interfaces teams of scientists, engineers and policymakers. Further, we offer cautions that such a large interconnected organization should consider. This article is inspired by, and draws largely from, an invited presentation given by the corresponding author at the Royal Society at Chicheley Hall, home of the Kavli Royal Society International Centre, Buckinghamshire on the themed meeting topic: 'Do we need a global project on artificial photosynthesis?'

Research resources: curating the new eagle-i discovery system

PubMed Central

Vasilevsky, Nicole; Johnson, Tenille; Corday, Karen; Torniai, Carlo; Brush, Matthew; Segerdell, Erik; Wilson, Melanie; Shaffer, Chris; Robinson, David; Haendel, Melissa

2012-01-01

Development of biocuration processes and guidelines for new data types or projects is a challenging task. Each project finds its way toward defining annotation standards and ensuring data consistency with varying degrees of planning and different tools to support and/or report on consistency. Further, this process may be data type specific even within the context of a single project. This article describes our experiences with eagle-i, a 2-year pilot project to develop a federated network of data repositories in which unpublished, unshared or otherwise ‘invisible’ scientific resources could be inventoried and made accessible to the scientific community. During the course of eagle-i development, the main challenges we experienced related to the difficulty of collecting and curating data while the system and the data model were simultaneously built, and a deficiency and diversity of data management strategies in the laboratories from which the source data was obtained. We discuss our approach to biocuration and the importance of improving information management strategies to the research process, specifically with regard to the inventorying and usage of research resources. Finally, we highlight the commonalities and differences between eagle-i and similar efforts with the hope that our lessons learned will assist other biocuration endeavors. Database URL: www.eagle-i.net PMID:22434835

Spacecraft Water Monitoring: Adapting to an Era of Emerging Scientific Challenges

NASA Technical Reports Server (NTRS)

McCoy, J. Torin

2009-01-01

This viewgraph presentation reviews spacecraft water monitoring, and the scientific challenges associated with spacecraft water quality. The contents include: 1) Spacecraft Water 101; 2) Paradigm Shift; and 3) Technology Needs.

Scientific Visualization Tools for Enhancement of Undergraduate Research

NASA Astrophysics Data System (ADS)

Rodriguez, W. J.; Chaudhury, S. R.

2001-05-01

Undergraduate research projects that utilize remote sensing satellite instrument data to investigate atmospheric phenomena pose many challenges. A significant challenge is processing large amounts of multi-dimensional data. Remote sensing data initially requires mining; filtering of undesirable spectral, instrumental, or environmental features; and subsequently sorting and reformatting to files for easy and quick access. The data must then be transformed according to the needs of the investigation(s) and displayed for interpretation. These multidimensional datasets require views that can range from two-dimensional plots to multivariable-multidimensional scientific visualizations with animations. Science undergraduate students generally find these data processing tasks daunting. Generally, researchers are required to fully understand the intricacies of the dataset and write computer programs or rely on commercially available software, which may not be trivial to use. In the time that undergraduate researchers have available for their research projects, learning the data formats, programming languages, and/or visualization packages is impractical. When dealing with large multi-dimensional data sets appropriate Scientific Visualization tools are imperative in allowing students to have a meaningful and pleasant research experience, while producing valuable scientific research results. The BEST Lab at Norfolk State University has been creating tools for multivariable-multidimensional analysis of Earth Science data. EzSAGE and SAGE4D have been developed to sort, analyze and visualize SAGE II (Stratospheric Aerosol and Gas Experiment) data with ease. Three- and four-dimensional visualizations in interactive environments can be produced. EzSAGE provides atmospheric slices in three-dimensions where the researcher can change the scales in the three-dimensions, color tables and degree of smoothing interactively to focus on particular phenomena. SAGE4D provides a navigable four-dimensional interactive environment. These tools allow students to make higher order decisions based on large multidimensional sets of data while diminishing the level of frustration that results from dealing with the details of processing large data sets.

Design of FastQuery: How to Generalize Indexing and Querying System for Scientific Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wu, Jerry; Wu, Kesheng

2011-04-18

Modern scientific datasets present numerous data management and analysis challenges. State-of-the-art index and query technologies such as FastBit are critical for facilitating interactive exploration of large datasets. These technologies rely on adding auxiliary information to existing datasets to accelerate query processing. To use these indices, we need to match the relational data model used by the indexing systems with the array data model used by most scientific data, and to provide an efficient input and output layer for reading and writing the indices. In this work, we present a flexible design that can be easily applied to most scientific datamore » formats. We demonstrate this flexibility by applying it to two of the most commonly used scientific data formats, HDF5 and NetCDF. We present two case studies using simulation data from the particle accelerator and climate simulation communities. To demonstrate the effectiveness of the new design, we also present a detailed performance study using both synthetic and real scientific workloads.« less

Serious games experiment toward agent-based simulation

USGS Publications Warehouse

Wein, Anne; Labiosa, William

2013-01-01

We evaluate the potential for serious games to be used as a scientifically based decision-support product that supports the United States Geological Survey’s (USGS) mission--to provide integrated, unbiased scientific information that can make a substantial contribution to societal well-being for a wide variety of complex environmental challenges. Serious or pedagogical games are an engaging way to educate decisionmakers and stakeholders about environmental challenges that are usefully informed by natural and social scientific information and knowledge and can be designed to promote interactive learning and exploration in the face of large uncertainties, divergent values, and complex situations. We developed two serious games that use challenging environmental-planning issues to demonstrate and investigate the potential contributions of serious games to inform regional-planning decisions. Delta Skelta is a game emulating long-term integrated environmental planning in the Sacramento-San Joaquin Delta, California, that incorporates natural hazards (flooding and earthquakes) and consequences for California water supplies amidst conflicting water interests. Age of Ecology is a game that simulates interactions between economic and ecologic processes, as well as natural hazards while implementing agent-based modeling. The content of these games spans the USGS science mission areas related to water, ecosystems, natural hazards, land use, and climate change. We describe the games, reflect on design and informational aspects, and comment on their potential usefulness. During the process of developing these games, we identified various design trade-offs involving factual information, strategic thinking, game-winning criteria, elements of fun, number and type of players, time horizon, and uncertainty. We evaluate the two games in terms of accomplishments and limitations. Overall, we demonstrated the potential for these games to usefully represent scientific information within challenging environmental and ecosystem-management contexts and to provide an interactive way of learning about the complexity of interactions between people and natural systems. Further progress on the use of pedagogical games to fulfill the USGS mission will require collaboration among scientists, game developers, educators, and stakeholders. We conclude that as the USGS positions itself to communicate and convey the results of multiple science strategies, including natural-resource security and sustainability, pedagogical game development and agent-based modeling offer a means to (1) establish interdisciplinary and collaborative teams with a focused integrated outcome; (2) contribute to the modeling of interaction, feedback, and adaptation of ecosystems; and (3) enable social learning through a broadly appealing and increasingly sophisticated medium.

More than 10 million steps in the right direction: results from the first American Heart Association scientific sessions walking challenge.

PubMed

Harrington, Robert A; Arena, Ross; Després, Jean-Pierre; Ciarochi, Amy; Croll, Elizabeth; Bloch, Kenneth D

2015-01-01

In 2013, the Global Congress theme at the American Heart Association (AHA) Annual Scientific Sessions was Physical Activity (PA). As a key component of the Congress, iHealth working in collaboration with AHA provided a Bluetooth-enabled wireless PA and sleep tracker to up to 2,000 Scientific Sessions attendees. Approximately 1850 Scientific Sessions attendees registered for, received a PA tracker and participated in the Walking Challenge. More than 10 million steps were walked by participants (10,703,504) during the 2.5 days of the Walking Challenge. This translates into almost 6000 miles walked (5976.3 miles) and 656,716 calories burned by participants during the Challenge. The Global Congress of PA held at Scientific Sessions 2013 not only extensively reviewed the science of PA as a powerful/independent and, most importantly, modifiable cardiovascular risk factor, but it also provided evidence from a fun and entertaining challenge that PA as a risk behavior can be assessed and targeted. We just took 10 million steps in the right direction. Join us and make your steps count! Copyright © 2014 Elsevier Inc. All rights reserved.

Using learning networks to understand complex systems: a case study of biological, geophysical and social research in the Amazon.

PubMed

Barlow, Jos; Ewers, Robert M; Anderson, Liana; Aragao, Luiz E O C; Baker, Tim R; Boyd, Emily; Feldpausch, Ted R; Gloor, Emanuel; Hall, Anthony; Malhi, Yadvinder; Milliken, William; Mulligan, Mark; Parry, Luke; Pennington, Toby; Peres, Carlos A; Phillips, Oliver L; Roman-Cuesta, Rosa Maria; Tobias, Joseph A; Gardner, Toby A

2011-05-01

Developing high-quality scientific research will be most effective if research communities with diverse skills and interests are able to share information and knowledge, are aware of the major challenges across disciplines, and can exploit economies of scale to provide robust answers and better inform policy. We evaluate opportunities and challenges facing the development of a more interactive research environment by developing an interdisciplinary synthesis of research on a single geographic region. We focus on the Amazon as it is of enormous regional and global environmental importance and faces a highly uncertain future. To take stock of existing knowledge and provide a framework for analysis we present a set of mini-reviews from fourteen different areas of research, encompassing taxonomy, biodiversity, biogeography, vegetation dynamics, landscape ecology, earth-atmosphere interactions, ecosystem processes, fire, deforestation dynamics, hydrology, hunting, conservation planning, livelihoods, and payments for ecosystem services. Each review highlights the current state of knowledge and identifies research priorities, including major challenges and opportunities. We show that while substantial progress is being made across many areas of scientific research, our understanding of specific issues is often dependent on knowledge from other disciplines. Accelerating the acquisition of reliable and contextualized knowledge about the fate of complex pristine and modified ecosystems is partly dependent on our ability to exploit economies of scale in shared resources and technical expertise, recognise and make explicit interconnections and feedbacks among sub-disciplines, increase the temporal and spatial scale of existing studies, and improve the dissemination of scientific findings to policy makers and society at large. Enhancing interaction among research efforts is vital if we are to make the most of limited funds and overcome the challenges posed by addressing large-scale interdisciplinary questions. Bringing together a diverse scientific community with a single geographic focus can help increase awareness of research questions both within and among disciplines, and reveal the opportunities that may exist for advancing acquisition of reliable knowledge. This approach could be useful for a variety of globally important scientific questions. © 2010 The Authors. Biological Reviews © 2010 Cambridge Philosophical Society.

Enhancing GIS Capabilities for High Resolution Earth Science Grids

NASA Astrophysics Data System (ADS)

Koziol, B. W.; Oehmke, R.; Li, P.; O'Kuinghttons, R.; Theurich, G.; DeLuca, C.

2017-12-01

Applications for high performance GIS will continue to increase as Earth system models pursue more realistic representations of Earth system processes. Finer spatial resolution model input and output, unstructured or irregular modeling grids, data assimilation, and regional coordinate systems present novel challenges for GIS frameworks operating in the Earth system modeling domain. This presentation provides an overview of two GIS-driven applications that combine high performance software with big geospatial datasets to produce value-added tools for the modeling and geoscientific community. First, a large-scale interpolation experiment using National Hydrography Dataset (NHD) catchments, a high resolution rectilinear CONUS grid, and the Earth System Modeling Framework's (ESMF) conservative interpolation capability will be described. ESMF is a parallel, high-performance software toolkit that provides capabilities (e.g. interpolation) for building and coupling Earth science applications. ESMF is developed primarily by the NOAA Environmental Software Infrastructure and Interoperability (NESII) group. The purpose of this experiment was to test and demonstrate the utility of high performance scientific software in traditional GIS domains. Special attention will be paid to the nuanced requirements for dealing with high resolution, unstructured grids in scientific data formats. Second, a chunked interpolation application using ESMF and OpenClimateGIS (OCGIS) will demonstrate how spatial subsetting can virtually remove computing resource ceilings for very high spatial resolution interpolation operations. OCGIS is a NESII-developed Python software package designed for the geospatial manipulation of high-dimensional scientific datasets. An overview of the data processing workflow, why a chunked approach is required, and how the application could be adapted to meet operational requirements will be discussed here. In addition, we'll provide a general overview of OCGIS's parallel subsetting capabilities including challenges in the design and implementation of a scientific data subsetter.

Application of science-based restoration planning to a desert river system.

PubMed

Laub, Brian G; Jimenez, Justin; Budy, Phaedra

2015-06-01

Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.

Application of Science-Based Restoration Planning to a Desert River System

NASA Astrophysics Data System (ADS)

Laub, Brian G.; Jimenez, Justin; Budy, Phaedra

2015-06-01

Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.

Application of science-based restoration planning to a desert river system

USGS Publications Warehouse

Laub, Brian G.; Jimenez, Justin; Budy, Phaedra

2015-01-01

Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.

[Challenges for the construction of 'Health and Environment "in view of its Thematic Group in the Brazilian Association of Collective Health].

PubMed

Augusto, Lia Giraldo da Silva; Tambellini, Anamaria Testa; de Miranda, Ary Carvalho; Carneiro, Fernando Ferreira; Castro, Hermano; Porto, Marcelo Firpo de Souza; Rigotto, Raquel Maria; Schütz, Gabriel Eduardo

2014-10-01

'Health and Environment' is the nucleus of knowledge and practices surrounding the relations between society and nature, mediated by the mode of production and human labor, which help to understand the determination of the health-disease process of different social classes and groups. This paper discusses the challenges to build this field from the perspective of its Thematic Group of the Association of Collective Health. The three core themes of the 2nd Brazilian Symposium on Environmental Health are taken as the theoretical framework for analysis. A timeline of the group's trajectory, in its historical context, helps to identify the contemporary challenges. Among the main challenges identified, the challenge of building an interdisciplinary, intersectoral and participatory scientific practice, which could build knowledge and dialogue with social movements, is highlighted.

An Analysis of the Supports and Constraints for Scientific Discussion in High School Project-Based Science

ERIC Educational Resources Information Center

Alozie, Nonye M.; Moje, Elizabeth Birr; Krajcik, Joseph S.

2010-01-01

One goal of project-based science is to promote the development of scientific discourse communities in classrooms. Holding rich high school scientific discussions is challenging, especially when the demands of content and norms of high school science pose challenges to their enactment. There is little research on how high school teachers enact…

FUSION ENERGY SCIENCES WORKSHOP ON PLASMA MATERIALS INTERACTIONS: Report on Science Challenges and Research Opportunities in Plasma Materials Interactions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Maingi, Rajesh; Zinkle, Steven J.; Foster, Mark S.

2015-05-01

The realization of controlled thermonuclear fusion as an energy source would transform society, providing a nearly limitless energy source with renewable fuel. Under the auspices of the U.S. Department of Energy, the Fusion Energy Sciences (FES) program management recently launched a series of technical workshops to “seek community engagement and input for future program planning activities” in the targeted areas of (1) Integrated Simulation for Magnetic Fusion Energy Sciences, (2) Control of Transients, (3) Plasma Science Frontiers, and (4) Plasma-Materials Interactions aka Plasma-Materials Interface (PMI). Over the past decade, a number of strategic planning activities1-6 have highlighted PMI and plasmamore » facing components as a major knowledge gap, which should be a priority for fusion research towards ITER and future demonstration fusion energy systems. There is a strong international consensus that new PMI solutions are required in order for fusion to advance beyond ITER. The goal of the 2015 PMI community workshop was to review recent innovations and improvements in understanding the challenging PMI issues, identify high-priority scientific challenges in PMI, and to discuss potential options to address those challenges. The community response to the PMI research assessment was enthusiastic, with over 80 participants involved in the open workshop held at Princeton Plasma Physics Laboratory on May 4-7, 2015. The workshop provided a useful forum for the scientific community to review progress in scientific understanding achieved during the past decade, and to openly discuss high-priority unresolved research questions. One of the key outcomes of the workshop was a focused set of community-initiated Priority Research Directions (PRDs) for PMI. Five PRDs were identified, labeled A-E, which represent community consensus on the most urgent near-term PMI scientific issues. For each PRD, an assessment was made of the scientific challenges, as well as a set of actions to address those challenges. No prioritization was attempted amongst these five PRDs. We note that ITER, an international collaborative project to substantially extend fusion science and technology, is implicitly a driver and beneficiary of the research described in these PRDs; specific ITER issues are discussed in the background and PRD chapters. For succinctness, we describe these PRDs directly below; a brief introduction to magnetic fusion and the workshop process/timeline is given in Chapter I, and panelists are listed in the Appendix.« less

The Challenge of Evaluating Students' Scientific Literacy in a Writing-to-Learn Context

NASA Astrophysics Data System (ADS)

Tomas, Louisa; Ritchie, Stephen M.

2015-02-01

This paper reports on the challenge of evaluating students' scientific literacy in a writing-to-learn context, as illustrated by our experience with an online science-writing project. In this mixed methods study, year 9 students in a case study class (13-14 year olds, n = 26) authored a series of two `hybridised' short stories that merged scientific and narratives genres about the socioscientific issue of biosecurity. In seeking to measure the efficacy of the intervention, we sought evidence of students' conceptual understanding communicated through their stories. Finding a suitable instrument presented our first challenge. This led to the development of scoring matrices to evaluate students' derived sense of scientific literacy. Student interviews were also conducted to explore their understanding of concepts related to the biosecurity context. While the results of these analyses showed significant improvements in students' understanding arising from their participation in the writing tasks, the interviews highlighted a second challenge in evaluating students' scientific literacy: a disparity between their written and vocalised understandings. The majority of students expressed a deeper level of conceptual understanding during the interviews than they did in their stories. The interviews also revealed alternative conceptions and instances of superficial understanding that were not expressed in their writing. Aside from the methodological challenge of analysing stories quantitatively, these findings suggest that in a writing-to-learn context, evaluating students' scientific literacy can be difficult. An examination of these artefacts in combination with interviews about students' written work provided a more comprehensive evaluation of their developing scientific literacy. The implications of this study for our understanding of the derived sense of scientific literacy, as well as implications for classroom practice, are discussed.

Development of Teaching Materials Based Interactive Scientific Approach towards the Concept of Social Arithmetic For Junior High School Student

NASA Astrophysics Data System (ADS)

Abadi, M. K.; Pujiastuti, H.; Assaat, L. D.

2017-02-01

The scientific approach is the characteristic of the curriculum 2013. In learning to use a scientific approach, learning process consists of five stages: observe, ask, try, reasoning and convey. In the curriculum 2013 the source of learning is a book, print media, electronic and about nature or relevant learning resources. Most of the print instructional materials on the market does not appropriate in the curriculum 2013. Teaching materials with a scientific approach, beside that to the teaching materials should motivate students to not be lazy, do not get bored, and more eager to learn mathematics. So the development of scientific-based interactive teaching materials that if this approach to answer the challenge. The purpose of this research is to create teaching materials appropriate to the curriculum 2013 that is based on scientific approach and interactive. This study used research and developed methodology. The results of this study are scientific based interactive teaching materials can be used by learners. That can be used by learners are then expected to study teaching materials can be used in android smartphone and be used portable.

Business process modeling in healthcare.

PubMed

Ruiz, Francisco; Garcia, Felix; Calahorra, Luis; Llorente, César; Gonçalves, Luis; Daniel, Christel; Blobel, Bernd

2012-01-01

The importance of the process point of view is not restricted to a specific enterprise sector. In the field of health, as a result of the nature of the service offered, health institutions' processes are also the basis for decision making which is focused on achieving their objective of providing quality medical assistance. In this chapter the application of business process modelling - using the Business Process Modelling Notation (BPMN) standard is described. Main challenges of business process modelling in healthcare are the definition of healthcare processes, the multi-disciplinary nature of healthcare, the flexibility and variability of the activities involved in health care processes, the need of interoperability between multiple information systems, and the continuous updating of scientific knowledge in healthcare.

Reviewing Manuscripts for Biomedical Journals

PubMed Central

Garmel, Gus M

2010-01-01

Writing for publication is a complex task. For many professionals, producing a well-executed manuscript conveying one's research, ideas, or educational wisdom is challenging. Authors have varying emotions related to the process of writing for scientific publication. Although not studied, a relationship between an author's enjoyment of the writing process and the product's outcome is highly likely. As with any skill, practice generally results in improvements. Literature focused on preparing manuscripts for publication and the art of reviewing submissions exists. Most journals guard their reviewers' anonymity with respect to the manuscript review process. This is meant to protect them from direct or indirect author demands, which may occur during the review process or in the future. It is generally accepted that author identities are masked in the peer-review process. However, the concept of anonymity for reviewers has been debated recently; many editors consider it problematic that reviewers are not held accountable to the public for their decisions. The review process is often arduous and underappreciated, one reason why biomedical journals acknowledge editors and frequently recognize reviewers who donate their time and expertise in the name of science. This article describes essential elements of a submitted manuscript, with the hopes of improving scientific writing. It also discusses the review process within the biomedical literature, the importance of reviewers to the scientific process, responsibilities of reviewers, and qualities of a good review and reviewer. In addition, it includes useful insights to individuals who read and interpret the medical literature. PMID:20740129

Multidisciplinary investigation of the fate, transport, and remediation of chlorinated solvents in fractured rocks at the former Naval Air Warfare Center (NAWC): Scientific and management challenges, and strategies for a successful research program

NASA Astrophysics Data System (ADS)

Tiedeman, C. R.; Goode, D. J.; Shapiro, A. M.; Lacombe, P. J.; Chapelle, F. H.; Bradley, P. M.; Imbrigiotta, T. E.; Williams, J. H.; Curtis, G. P.; Hsieh, P. A.

2008-12-01

At the former Naval Air Warfare Center (NAWC) in West Trenton NJ, the U.S. Geological Survey, in cooperation with the U.S. Navy and under support from the Strategic Environmental Research and Development Program (SERDP), is investigating the fate, transport, and remediation of trichloroethylene (TCE) and its daughter products in dipping, fractured mudstones underlying the site. TCE concentrations in ground water are as high as ~100 mg/L. Objectives of multidisciplinary research at the NAWC include (1) understanding the physical, chemical, and microbiological processes and properties affecting the fate, transport, and removal of chlorinated solvents in fractured rocks, (2) assessing the efficiency of different remediation methods (pump and treat, natural and enhanced biodegradation), and (3) transferring the results to help remediate other contaminated fractured rock aquifers. There are numerous scientific and technical challenges to meeting these goals, including the extreme spatial variability of flow and transport properties at the NAWC and the complex distribution of contaminants, geochemical constituents, and microorganisms in fractures and the rock matrix. In addition, there are management challenges that are equally important to address in order to achieve a successful research program. These include balancing the requirements of the many parties involved at the site, including researchers, the site owner, and regulatory agencies; and ensuring that limited research funds are directed towards work that addresses the most important scientific questions as well as stakeholder concerns. Strategies for the scientific challenges at NAWC include developing a carefully planned program to characterize spatial variability in rock properties and groundwater constituents so that the data obtained are applicable to solving research questions focused on remediation. Strategies for the management challenges include fostering open lines of communication among all parties and conferring with the U.S. Environmental Protection Agency to ensure that our research is relevant to remediation at Superfund and other hazardous waste sites with chlorinated solvent contamination of fractured rocks.

Citizen science: a new direction in canine behavior research.

PubMed

Hecht, Julie; Spicer Rice, Eleanor

2015-01-01

Researchers increasingly rely on members of the public to contribute to scientific projects-from collecting or identifying, to analyzing and disseminating data. The "citizen science" model proves useful to many thematically distinctive fields, like ornithology, astronomy, and phenology. The recent formalization of citizen science projects addresses technical issues related to volunteer participation--like data quality--so that citizen scientists can make longstanding, meaningful contributions to scientific projects. Since the late 1990s, canine science research has relied with greater frequency on the participation of the general public, particularly dog owners. These researchers do not typically consider the methods and technical issues that those conducting citizen science projects embrace and continue to investigate. As more canine science studies rely on public input, an in-depth knowledge of the benefits and challenges of citizen science can help produce relevant, high-quality data while increasing the general public's understanding of canine behavior and cognition as well as the scientific process. We examine the benefits and challenges of current citizen science models in an effort to enhance canine citizen science project preparation, execution, and dissemination. This article is part of a Special Issue entitled: Canine Behavior. Copyright © 2014 Elsevier B.V. All rights reserved.

Distinguishing How from Why the Mind Wanders: A Process-Occurrence Framework for Self-Generated Mental Activity

ERIC Educational Resources Information Center

Smallwood, Jonathan

2013-01-01

Cognition can unfold with little regard to the events taking place in the environment, and such self-generated mental activity poses a specific set of challenges for its scientific analysis in both cognitive science and neuroscience. One problem is that the spontaneous onset of self-generated mental activity makes it hard to distinguish the events…

Drawing on Experience: How Domain Knowledge Is Reflected in Sketches of Scientific Structures and Processes

ERIC Educational Resources Information Center

Jee, Benjamin D.; Gentner, Dedre; Uttal, David H.; Sageman, Bradley; Forbus, Kenneth; Manduca, Cathryn A.; Ormand, Carol J.; Shipley, Thomas F.; Tikoff, Basil

2014-01-01

Capturing the nature of students' mental representations and how they change with learning is a primary goal in science education research. This can be challenging in spatially intense domains, such as geoscience, architecture, and engineering. In this research, we test whether sketching can be used to gauge level of expertise in geoscience,…

Using a Module-Based Laboratory to Incorporate Inquiry into a Large Cell Biology Course

ERIC Educational Resources Information Center

Howard, David R.; Miskowski, Jennifer A.

2005-01-01

Because cell biology has rapidly increased in breadth and depth, instructors are challenged not only to provide undergraduate science students with a strong, up-to-date foundation of knowledge, but also to engage them in the scientific process. To these ends, revision of the Cell Biology Lab course at the University of Wisconsin-La Crosse was…

Rearing Media as a Variable in Fruit Fly Fecundity: An Activity to Introduce Scientific Methods of Inquiry to Biology Students

ERIC Educational Resources Information Center

Wollard, Laura; Klein, Benjamin; Carlson, Darby J.; Carlson, Kimberly A.

2006-01-01

A major challenge in teaching the process of science to students is designing and implementing laboratory activities that emulate what is actually done in a research laboratory. To facilitate this effort, science educators have been encouraged to design exercises that span multiple laboratory periods, encourage independent thinking, promote…

Engaging Biology Undergraduates in the Scientific Process through Writing a Theoretical Research Proposal

ERIC Educational Resources Information Center

Stanford, Jennifer S.; Duwel, Laura E.

2013-01-01

It has been suggested that research experiences are an important element that should be included in all undergraduate Biology curricula. This is a difficult suggestion to accommodate due to issues with cost, space and time. We addressed this challenge through development of a capstone project in which Biology majors work in groups to develop novel…

A characterization of workflow management systems for extreme-scale applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ferreira da Silva, Rafael; Filgueira, Rosa; Pietri, Ilia

We present that the automation of the execution of computational tasks is at the heart of improving scientific productivity. Over the last years, scientific workflows have been established as an important abstraction that captures data processing and computation of large and complex scientific applications. By allowing scientists to model and express entire data processing steps and their dependencies, workflow management systems relieve scientists from the details of an application and manage its execution on a computational infrastructure. As the resource requirements of today’s computational and data science applications that process vast amounts of data keep increasing, there is a compellingmore » case for a new generation of advances in high-performance computing, commonly termed as extreme-scale computing, which will bring forth multiple challenges for the design of workflow applications and management systems. This paper presents a novel characterization of workflow management systems using features commonly associated with extreme-scale computing applications. We classify 15 popular workflow management systems in terms of workflow execution models, heterogeneous computing environments, and data access methods. Finally, the paper also surveys workflow applications and identifies gaps for future research on the road to extreme-scale workflows and management systems.« less

A characterization of workflow management systems for extreme-scale applications

DOE PAGES

Ferreira da Silva, Rafael; Filgueira, Rosa; Pietri, Ilia; ...

2017-02-16

We present that the automation of the execution of computational tasks is at the heart of improving scientific productivity. Over the last years, scientific workflows have been established as an important abstraction that captures data processing and computation of large and complex scientific applications. By allowing scientists to model and express entire data processing steps and their dependencies, workflow management systems relieve scientists from the details of an application and manage its execution on a computational infrastructure. As the resource requirements of today’s computational and data science applications that process vast amounts of data keep increasing, there is a compellingmore » case for a new generation of advances in high-performance computing, commonly termed as extreme-scale computing, which will bring forth multiple challenges for the design of workflow applications and management systems. This paper presents a novel characterization of workflow management systems using features commonly associated with extreme-scale computing applications. We classify 15 popular workflow management systems in terms of workflow execution models, heterogeneous computing environments, and data access methods. Finally, the paper also surveys workflow applications and identifies gaps for future research on the road to extreme-scale workflows and management systems.« less

Affordances and Challenges of Using Argument as a Connective Discourse for Scientific Practices to Teach Climate Science

NASA Astrophysics Data System (ADS)

Sezen-Barrie, A.; Wolfson, J.

2015-12-01

An important goal of science education is to support development of citizens to participate in public debate and make informed decisions relevant to their lives and their worlds. The NGSS (Next Generation Science Standards) suggest engaging students in science classrooms in argumentation as a practice to help enhance the quality of evidence based decision making. In this multi-case study, we explored the use of written argumentation in eight secondary school science classrooms during a lesson on the relationship between ocean temperature and its CO2 holding capacity. All teachers of these classrooms were trained during a day long NSF funded Climate Literacy Workshop on the basic concepts of climate science, scientific practices and implementation of an activity called "It's a Gassy World". The data of the current study involved students' written arguments, teachers' written reflections on the implementation of the activity as well as field notes from the Climate Literacy Workshop. A qualitative discourse analysis of the data was used to find common themes around affordances and challenges of argument as a connective discourse for scientific practices to teach climate change. The findings show that participating in written argumentation process encouraged students to discuss their experimental design and use data interpretation for their evidences. However, the results also indicated the following challenges: a) teachers themselves need support in connecting their evidence to their claims, b) arguing a socioscientific issue creates a sensitive environment c) conceptual quality of an argument needs to be strengthen through background in courses other than science, and d) graphing skills (or lack of) can interfere with constructing scientifically accurate claims. This study has implications in effectively teaching climate change through argumentation, and thus creating opportunities for practicing authentic climate science research in K-12 classrooms.

Toward Transparent Data Management in Multi-layer Storage Hierarchy for HPC Systems

DOE PAGES

Wadhwa, Bharti; Byna, Suren; Butt, Ali R.

2018-04-17

Upcoming exascale high performance computing (HPC) systems are expected to comprise multi-tier storage hierarchy, and thus will necessitate innovative storage and I/O mechanisms. Traditional disk and block-based interfaces and file systems face severe challenges in utilizing capabilities of storage hierarchies due to the lack of hierarchy support and semantic interfaces. Object-based and semantically-rich data abstractions for scientific data management on large scale systems offer a sustainable solution to these challenges. Such data abstractions can also simplify users involvement in data movement. Here, we take the first steps of realizing such an object abstraction and explore storage mechanisms for these objectsmore » to enhance I/O performance, especially for scientific applications. We explore how an object-based interface can facilitate next generation scalable computing systems by presenting the mapping of data I/O from two real world HPC scientific use cases: a plasma physics simulation code (VPIC) and a cosmology simulation code (HACC). Our storage model stores data objects in different physical organizations to support data movement across layers of memory/storage hierarchy. Our implementation sclaes well to 16K parallel processes, and compared to the state of the art, such as MPI-IO and HDF5, our object-based data abstractions and data placement strategy in multi-level storage hierarchy achieves up to 7 X I/O performance improvement for scientific data.« less

Toward Transparent Data Management in Multi-layer Storage Hierarchy for HPC Systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wadhwa, Bharti; Byna, Suren; Butt, Ali R.

Upcoming exascale high performance computing (HPC) systems are expected to comprise multi-tier storage hierarchy, and thus will necessitate innovative storage and I/O mechanisms. Traditional disk and block-based interfaces and file systems face severe challenges in utilizing capabilities of storage hierarchies due to the lack of hierarchy support and semantic interfaces. Object-based and semantically-rich data abstractions for scientific data management on large scale systems offer a sustainable solution to these challenges. Such data abstractions can also simplify users involvement in data movement. Here, we take the first steps of realizing such an object abstraction and explore storage mechanisms for these objectsmore » to enhance I/O performance, especially for scientific applications. We explore how an object-based interface can facilitate next generation scalable computing systems by presenting the mapping of data I/O from two real world HPC scientific use cases: a plasma physics simulation code (VPIC) and a cosmology simulation code (HACC). Our storage model stores data objects in different physical organizations to support data movement across layers of memory/storage hierarchy. Our implementation sclaes well to 16K parallel processes, and compared to the state of the art, such as MPI-IO and HDF5, our object-based data abstractions and data placement strategy in multi-level storage hierarchy achieves up to 7 X I/O performance improvement for scientific data.« less

Combining Community Engagement and Scientific Approaches in Next-Generation Monitor Siting: The Case of the Imperial County Community Air Network.

PubMed

Wong, Michelle; Bejarano, Esther; Carvlin, Graeme; Fellows, Katie; King, Galatea; Lugo, Humberto; Jerrett, Michael; Meltzer, Dan; Northcross, Amanda; Olmedo, Luis; Seto, Edmund; Wilkie, Alexa; English, Paul

2018-03-15

Air pollution continues to be a global public health threat, and the expanding availability of small, low-cost air sensors has led to increased interest in both personal and crowd-sourced air monitoring. However, to date, few low-cost air monitoring networks have been developed with the scientific rigor or continuity needed to conduct public health surveillance and inform policy. In Imperial County, California, near the U.S./Mexico border, we used a collaborative, community-engaged process to develop a community air monitoring network that attains the scientific rigor required for research, while also achieving community priorities. By engaging community residents in the project design, monitor siting processes, data dissemination, and other key activities, the resulting air monitoring network data are relevant, trusted, understandable, and used by community residents. Integration of spatial analysis and air monitoring best practices into the network development process ensures that the data are reliable and appropriate for use in research activities. This combined approach results in a community air monitoring network that is better able to inform community residents, support research activities, guide public policy, and improve public health. Here we detail the monitor siting process and outline the advantages and challenges of this approach.

User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org

PubMed Central

Eijssen, Lars M. T.; Jaillard, Magali; Adriaens, Michiel E.; Gaj, Stan; de Groot, Philip J.; Müller, Michael; Evelo, Chris T.

2013-01-01

Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform. Many of these have been implemented in the statistical scripting language R and are available from the Bioconductor repository. However, application is hampered by lack of integrative tools that can be used by users of any experience level. To fill this gap, we developed a freely available tool for QC and pre-processing of Affymetrix gene expression results, extending, integrating and harmonizing functionality of Bioconductor packages. The tool can be easily accessed through a wizard-like web portal at http://www.arrayanalysis.org or downloaded for local use in R. The portal provides extensive documentation, including user guides, interpretation help with real output illustrations and detailed technical documentation. It assists newcomers to the field in performing state-of-the-art QC and pre-processing while offering data analysts an integral open-source package. Providing the scientific community with this easily accessible tool will allow improving data quality and reuse and adoption of standards. PMID:23620278

Combining Community Engagement and Scientific Approaches in Next-Generation Monitor Siting: The Case of the Imperial County Community Air Network

PubMed Central

Wong, Michelle; Bejarano, Esther; Carvlin, Graeme; King, Galatea; Lugo, Humberto; Jerrett, Michael; Northcross, Amanda; Olmedo, Luis; Seto, Edmund; Wilkie, Alexa; English, Paul

2018-01-01

Air pollution continues to be a global public health threat, and the expanding availability of small, low-cost air sensors has led to increased interest in both personal and crowd-sourced air monitoring. However, to date, few low-cost air monitoring networks have been developed with the scientific rigor or continuity needed to conduct public health surveillance and inform policy. In Imperial County, California, near the U.S./Mexico border, we used a collaborative, community-engaged process to develop a community air monitoring network that attains the scientific rigor required for research, while also achieving community priorities. By engaging community residents in the project design, monitor siting processes, data dissemination, and other key activities, the resulting air monitoring network data are relevant, trusted, understandable, and used by community residents. Integration of spatial analysis and air monitoring best practices into the network development process ensures that the data are reliable and appropriate for use in research activities. This combined approach results in a community air monitoring network that is better able to inform community residents, support research activities, guide public policy, and improve public health. Here we detail the monitor siting process and outline the advantages and challenges of this approach. PMID:29543726

We Need You! The Importance of Scientist Involvement in Education and Public Outreach (E/PO)

NASA Astrophysics Data System (ADS)

Buxner, S.; Hsu, B. C.; Meinke, B. K.; Shipp, S. S.; Schwerin, T. G.; Peticolas, L. M.; Smith, D.; Dalton, H.

2013-12-01

Active engagement of scientists in education and public outreach (E/PO) activities is beneficial for scientists, classrooms, and the general public. Scientist visibility in the public arena is important to garner public support, whose tax dollars fund scientific programs. Scientists are important disseminators of current, accurate scientific knowledge. They also, perhaps more importantly, understand the nature and process of science and have the means of understanding and addressing many of the issues facing society. Research has shown that while the public is interested in science, not all members are necessarily scientifically literate; additionally there is evidence than many students are not prepared for, or choosing to participate in science careers. And yet, a scientifically engaged, literate, and supportive public is a necessary partner in addressing important global challenges of the future. E/PO is a wonderful opportunity for scientists to demonstrate that science is interesting, exciting, fun, challenging, and relevant to society. In doing so, they can transfer ownership of science to the public through a variety of vehicles by increasing access to scientific thought and discovery. Through partnerships with E/PO professionals, teachers, or journalists, scientists can improve their communication and teaching skills, whether in an E/PO setting or their higher education careers. Sharing with the public what scientists do is an effective way to engage people in the scientific process and to express scientists' enthusiasm for what they do. Scientist involvement in E/PO also shows the public that scientists are real people and provides important role models for the next generation of scientists. There are many opportunities to get involved in E/PO! Find information on EarthSpace, a national clearinghouse for higher education materials in Earth and space science through an abstract by Nicholas Gross, et al. Learn about NASA Science Mission Directorate (SMD)'s Scientist Speaker's Bureau in an abstract by Heather Dalton, et al. Discover the many resources and opportunities provided by NASA SMD's Science E/PO Forums in abstracts by Stephanie Shipp, et al. and Laura Peticolas, et al. Join the fun - get involved in E/PO!

Communicating science in politicized environments.

PubMed

Lupia, Arthur

2013-08-20

Many members of the scientific community attempt to convey information to policymakers and the public. Much of this information is ignored or misinterpreted. This article describes why these outcomes occur and how science communicators can achieve better outcomes. The article focuses on two challenges associated with communicating scientific information to such audiences. One challenge is that people have less capacity to pay attention to scientific presentations than many communicators anticipate. A second challenge is that people in politicized environments often make different choices about whom to believe than do people in other settings. Together, these challenges cause policymakers and the public to be less responsive to scientific information than many communicators desire. Research on attention and source credibility can help science communicators better adapt to these challenges. Attention research clarifies when, and to what type of stimuli, people do (and do not) pay attention. Source credibility research clarifies the conditions under which an audience will believe scientists' descriptions of phenomena rather than the descriptions of less-valid sources. Such research can help communicators stay true to their science while making their findings more memorable and more believable to more audiences.

Communicating science in politicized environments

PubMed Central

Lupia, Arthur

2013-01-01

Many members of the scientific community attempt to convey information to policymakers and the public. Much of this information is ignored or misinterpreted. This article describes why these outcomes occur and how science communicators can achieve better outcomes. The article focuses on two challenges associated with communicating scientific information to such audiences. One challenge is that people have less capacity to pay attention to scientific presentations than many communicators anticipate. A second challenge is that people in politicized environments often make different choices about whom to believe than do people in other settings. Together, these challenges cause policymakers and the public to be less responsive to scientific information than many communicators desire. Research on attention and source credibility can help science communicators better adapt to these challenges. Attention research clarifies when, and to what type of stimuli, people do (and do not) pay attention. Source credibility research clarifies the conditions under which an audience will believe scientists’ descriptions of phenomena rather than the descriptions of less-valid sources. Such research can help communicators stay true to their science while making their findings more memorable and more believable to more audiences. PMID:23940336

Big data analytics workflow management for eScience

NASA Astrophysics Data System (ADS)

Fiore, Sandro; D'Anca, Alessandro; Palazzo, Cosimo; Elia, Donatello; Mariello, Andrea; Nassisi, Paola; Aloisio, Giovanni

2015-04-01

In many domains such as climate and astrophysics, scientific data is often n-dimensional and requires tools that support specialized data types and primitives if it is to be properly stored, accessed, analysed and visualized. Currently, scientific data analytics relies on domain-specific software and libraries providing a huge set of operators and functionalities. However, most of these software fail at large scale since they: (i) are desktop based, rely on local computing capabilities and need the data locally; (ii) cannot benefit from available multicore/parallel machines since they are based on sequential codes; (iii) do not provide declarative languages to express scientific data analysis tasks, and (iv) do not provide newer or more scalable storage models to better support the data multidimensionality. Additionally, most of them: (v) are domain-specific, which also means they support a limited set of data formats, and (vi) do not provide a workflow support, to enable the construction, execution and monitoring of more complex "experiments". The Ophidia project aims at facing most of the challenges highlighted above by providing a big data analytics framework for eScience. Ophidia provides several parallel operators to manipulate large datasets. Some relevant examples include: (i) data sub-setting (slicing and dicing), (ii) data aggregation, (iii) array-based primitives (the same operator applies to all the implemented UDF extensions), (iv) data cube duplication, (v) data cube pivoting, (vi) NetCDF-import and export. Metadata operators are available too. Additionally, the Ophidia framework provides array-based primitives to perform data sub-setting, data aggregation (i.e. max, min, avg), array concatenation, algebraic expressions and predicate evaluation on large arrays of scientific data. Bit-oriented plugins have also been implemented to manage binary data cubes. Defining processing chains and workflows with tens, hundreds of data analytics operators is the real challenge in many practical scientific use cases. This talk will specifically address the main needs, requirements and challenges regarding data analytics workflow management applied to large scientific datasets. Three real use cases concerning analytics workflows for sea situational awareness, fire danger prevention, climate change and biodiversity will be discussed in detail.

A Drupal-Based Collaborative Framework for Science Workflows

NASA Astrophysics Data System (ADS)

Pinheiro da Silva, P.; Gandara, A.

2010-12-01

Cyber-infrastructure is built from utilizing technical infrastructure to support organizational practices and social norms to provide support for scientific teams working together or dependent on each other to conduct scientific research. Such cyber-infrastructure enables the sharing of information and data so that scientists can leverage knowledge and expertise through automation. Scientific workflow systems have been used to build automated scientific systems used by scientists to conduct scientific research and, as a result, create artifacts in support of scientific discoveries. These complex systems are often developed by teams of scientists who are located in different places, e.g., scientists working in distinct buildings, and sometimes in different time zones, e.g., scientist working in distinct national laboratories. The sharing of these specifications is currently supported by the use of version control systems such as CVS or Subversion. Discussions about the design, improvement, and testing of these specifications, however, often happen elsewhere, e.g., through the exchange of email messages and IM chatting. Carrying on a discussion about these specifications is challenging because comments and specifications are not necessarily connected. For instance, the person reading a comment about a given workflow specification may not be able to see the workflow and even if the person can see the workflow, the person may not specifically know to which part of the workflow a given comments applies to. In this paper, we discuss the design, implementation and use of CI-Server, a Drupal-based infrastructure, to support the collaboration of both local and distributed teams of scientists using scientific workflows. CI-Server has three primary goals: to enable information sharing by providing tools that scientists can use within their scientific research to process data, publish and share artifacts; to build community by providing tools that support discussions between scientists about artifacts used or created through scientific processes; and to leverage the knowledge collected within the artifacts and scientific collaborations to support scientific discoveries.

3-D Imaging of Mars’ Polar Ice Caps Using Orbital Radar Data

PubMed Central

Foss, Frederick J.; Putzig, Nathaniel E.; Campbell, Bruce A.; Phillips, Roger J.

2018-01-01

Since its arrival in early 2006, various instruments aboard NASA’s Mars Reconnaissance Orbiter (MRO) have been collecting a variety of scientific and engineering data from orbit around Mars. Among these is the SHAllow RADar (SHARAD) instrument, supplied by Agenzia Spaziale Italiana (ASI) and designed for subsurface sounding in the 15–25 MHz frequency band. As of this writing, MRO has completed over 46,000 nearly polar orbits of Mars, 30% of which have included active SHARAD data collection. By 2009, a sufficient density of SHARAD coverage had been obtained over the polar regions to support 3-D processing and analysis of the data. Using tools and techniques commonly employed in terrestrial seismic data processing, we have processed subsets of the resulting collection of SHARAD observations covering the north and south polar regions as SHARAD 3-D volumes, imaging the interiors of the north and south polar ice caps known, respectively, as Planum Boreum and Planum Australe. After overcoming a series of challenges revealed during the 3-D processing and analysis, a completed Planum Boreum 3-D volume is currently being used for scientific research. Lessons learned in the northern work fed forward into our 3-D processing and analysis of the Planum Australe 3-D volume, currently under way. We discuss our experiences with these projects and present results and scientific insights stemming from these efforts. PMID:29400351

EMERALD: Coping with the Explosion of Seismic Data

NASA Astrophysics Data System (ADS)

West, J. D.; Fouch, M. J.; Arrowsmith, R.

2009-12-01

The geosciences are currently generating an unparalleled quantity of new public broadband seismic data with the establishment of large-scale seismic arrays such as the EarthScope USArray, which are enabling new and transformative scientific discoveries of the structure and dynamics of the Earth’s interior. Much of this explosion of data is a direct result of the formation of the IRIS consortium, which has enabled an unparalleled level of open exchange of seismic instrumentation, data, and methods. The production of these massive volumes of data has generated new and serious data management challenges for the seismological community. A significant challenge is the maintenance and updating of seismic metadata, which includes information such as station location, sensor orientation, instrument response, and clock timing data. This key information changes at unknown intervals, and the changes are not generally communicated to data users who have already downloaded and processed data. Another basic challenge is the ability to handle massive seismic datasets when waveform file volumes exceed the fundamental limitations of a computer’s operating system. A third, long-standing challenge is the difficulty of exchanging seismic processing codes between researchers; each scientist typically develops his or her own unique directory structure and file naming convention, requiring that codes developed by another researcher be rewritten before they can be used. To address these challenges, we are developing EMERALD (Explore, Manage, Edit, Reduce, & Analyze Large Datasets). The overarching goal of the EMERALD project is to enable more efficient and effective use of seismic datasets ranging from just a few hundred to millions of waveforms with a complete database-driven system, leading to higher quality seismic datasets for scientific analysis and enabling faster, more efficient scientific research. We will present a preliminary (beta) version of EMERALD, an integrated, extensible, standalone database server system based on the open-source PostgreSQL database engine. The system is designed for fast and easy processing of seismic datasets, and provides the necessary tools to manage very large datasets and all associated metadata. EMERALD provides methods for efficient preprocessing of seismic records; large record sets can be easily and quickly searched, reviewed, revised, reprocessed, and exported. EMERALD can retrieve and store station metadata and alert the user to metadata changes. The system provides many methods for visualizing data, analyzing dataset statistics, and tracking the processing history of individual datasets. EMERALD allows development and sharing of visualization and processing methods using any of 12 programming languages. EMERALD is designed to integrate existing software tools; the system provides wrapper functionality for existing widely-used programs such as GMT, SOD, and TauP. Users can interact with EMERALD via a web browser interface, or they can directly access their data from a variety of database-enabled external tools. Data can be imported and exported from the system in a variety of file formats, or can be directly requested and downloaded from the IRIS DMC from within EMERALD.

Biology and data-intensive scientific discovery in the beginning of the 21st century.

PubMed

Smith, Arnold; Balazinska, Magdalena; Baru, Chaitan; Gomelsky, Mark; McLennan, Michael; Rose, Lynn; Smith, Burton; Stewart, Elizabeth; Kolker, Eugene

2011-04-01

The life sciences are poised at the beginning of a paradigm-changing evolution in the way scientific questions are answered. Data-Intensive Science (DIS) promise to provide new ways of approaching scientific challenges and answering questions. This article is a summary of the life sciences issues and challenges as discussed in the DIS workshop in Seattle, September 19-20, 2010. © Mary Ann Liebert, Inc.

Extracting meaning from astronomical telegrams

NASA Astrophysics Data System (ADS)

Graham, Matthew; Conwill, L.; Djorgovski, S. G.; Mahabal, A.; Donalek, C.; Drake, A.

2011-01-01

The rapidly emerging field of time domain astronomy is one of the most exciting and vibrant new research frontiers, ranging in scientific scope from studies of the Solar System to extreme relativistic astrophysics and cosmology. It is being enabled by a new generation of large synoptic digital sky surveys - LSST, PanStarrs, CRTS - that cover large areas of sky repeatedly, looking for transient objects and phenomena. One of the biggest challenges facing these is the automated classification of transient events, a process that needs machine-processible astronomical knowledge. Semantic technologies enable the formal representation of concepts and relations within a particular domain. ATELs (http://www.astronomerstelegram.org) are a commonly-used means for reporting and commenting upon new astronomical observations of transient sources (supernovae, stellar outbursts, blazar flares, etc). However, they are loose and unstructured and employ scientific natural language for description: this makes automated processing of them - a necessity within the next decade with petascale data rates - a challenge. Nevertheless they represent a potentially rich corpus of information that could lead to new and valuable insights into transient phenomena. This project lies in the cutting-edge field of astrosemantics, a branch of astroinformatics, which applies semantic technologies to astronomy. The ATELs have been used to develop an appropriate concept scheme - a representation of the information they contain - for transient astronomy using aspects of natural language processing. We demonstrate that it is possible to infer the subject of an ATEL from the vocabulary used and to identify previously unassociated reports.

Speaking the right language: the scientific method as a framework for a continuous quality improvement program within academic medical research compliance units.

PubMed

Nolte, Kurt B; Stewart, Douglas M; O'Hair, Kevin C; Gannon, William L; Briggs, Michael S; Barron, A Marie; Pointer, Judy; Larson, Richard S

2008-10-01

The authors developed a novel continuous quality improvement (CQI) process for academic biomedical research compliance administration. A challenge in developing a quality improvement program in a nonbusiness environment is that the terminology and processes are often foreign. Rather than training staff in an existing quality improvement process, the authors opted to develop a novel process based on the scientific method--a paradigm familiar to all team members. The CQI process included our research compliance units. Unit leaders identified problems in compliance administration where a resolution would have a positive impact and which could be resolved or improved with current resources. They then generated testable hypotheses about a change to standard practice expected to improve the problem, and they developed methods and metrics to assess the impact of the change. The CQI process was managed in a "peer review" environment. The program included processes to reduce the incidence of infections in animal colonies, decrease research protocol-approval times, improve compliance and protection of animal and human research subjects, and improve research protocol quality. This novel CQI approach is well suited to the needs and the unique processes of research compliance administration. Using the scientific method as the improvement paradigm fostered acceptance of the project by unit leaders and facilitated the development of specific improvement projects. These quality initiatives will allow us to improve support for investigators while ensuring that compliance standards continue to be met. We believe that our CQI process can readily be used in other academically based offices of research.

Grand challenges in understanding the interplay of climate and land changes

DOE PAGES

Liu, Shuguang; Bond-Lamberty, Ben; Boysen, Lena R.; ...

2017-03-28

Half of the Earth s land surface has been altered by human activities, creating various consequences on the climate and weather systems at local to global scales, which in turn affects a myriad of land surface processes and our adaptation behaviors. We here review the status and major knowledge gaps of studying the interactions of land and atmospheric changes and present eleven grand challenge areas for scientific research and adaptation communities in the coming decade: (1) collective and separate impacts of major land changes and the interactions with non-land-change factors such as atmospheric CO2 increase, (2) carbon and other biogeochemicalmore » cycles, (3) climatically relevant biospheric emissions such as aerosols, (4) water cycle, (5) agriculture, (6) urbanization, (7) gradual acclimation of plants, communities, and ecosystems to climate and environmental changes, (8) plant migration, (9) land use projections, (10) reduction of uncertainties in models and data, and finally (11) adaptation strategies. We conclude that we need to create and maintain a close cross-disciplinary coordination between measurements and process representation in models to analyze complex multi-facet interrelated perturbations and feedbacks between land and climate changes. Along with major scientific research thrusts, land-use and land cover change mitigation and adaptation assessments should be strengthened to identify barriers that need to be overcome, evaluate and prioritize opportunities, and examine how decision making processes work in specific contexts.« less

Grand challenges in understanding the interplay of climate and land changes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, Shuguang; Bond-Lamberty, Ben; Boysen, Lena R.

Half of the Earth s land surface has been altered by human activities, creating various consequences on the climate and weather systems at local to global scales, which in turn affects a myriad of land surface processes and our adaptation behaviors. We here review the status and major knowledge gaps of studying the interactions of land and atmospheric changes and present eleven grand challenge areas for scientific research and adaptation communities in the coming decade: (1) collective and separate impacts of major land changes and the interactions with non-land-change factors such as atmospheric CO2 increase, (2) carbon and other biogeochemicalmore » cycles, (3) climatically relevant biospheric emissions such as aerosols, (4) water cycle, (5) agriculture, (6) urbanization, (7) gradual acclimation of plants, communities, and ecosystems to climate and environmental changes, (8) plant migration, (9) land use projections, (10) reduction of uncertainties in models and data, and finally (11) adaptation strategies. We conclude that we need to create and maintain a close cross-disciplinary coordination between measurements and process representation in models to analyze complex multi-facet interrelated perturbations and feedbacks between land and climate changes. Along with major scientific research thrusts, land-use and land cover change mitigation and adaptation assessments should be strengthened to identify barriers that need to be overcome, evaluate and prioritize opportunities, and examine how decision making processes work in specific contexts.« less

Methodological challenges when doing research that includes ethnic minorities: a scoping review.

PubMed

Morville, Anne-Le; Erlandsson, Lena-Karin

2016-11-01

There are challenging methodological issues in obtaining valid and reliable results on which to base occupational therapy interventions for ethnic minorities. The aim of this scoping review is to describe the methodological problems within occupational therapy research, when ethnic minorities are included. A thorough literature search yielded 21 articles obtained from the scientific databases PubMed, Cinahl, Web of Science and PsychInfo. Analysis followed Arksey and O'Malley's framework for scoping reviews, applying content analysis. The results showed methodological issues concerning the entire research process from defining and recruiting samples, the conceptual understanding, lack of appropriate instruments, data collection using interpreters to analyzing data. In order to avoid excluding the ethnic minorities from adequate occupational therapy research and interventions, development of methods for the entire research process is needed. It is a costly and time-consuming process, but the results will be valid and reliable, and therefore more applicable in clinical practice.

Interpersonal rivalries, gender and the intellectual and scientific making of psychoanalysis in 1940s Britain.

PubMed

Shapira, Michal

2017-05-01

This article examines the 1940s debates regarding the status and professional orthodoxy of psychoanalysis following Sigmund Freud's death, by exploring the Anna Freud-Melanie Klein Controversial Discussions in the British Psychoanalytical Society. Focusing on the work of now-forgotten analysts Melitta Schmideberg and Edward Glover, and on their relationship with Klein and her supporters, the article reveals how these neglected, yet important, debates were complicated by interpersonal and professional ties, processes of the professionalization, and changing gender norms. Although historians of psychoanalysis have not ignored the jealousies, resentments, and complex relationships between psychoanalysts, these scholars often continue to view these as separate from the processes of creating science. Here, instead, I view the personal and the intellectual in tandem, thus challenging the divide between scientific reason and affect. Rather than imposing a separation between the scientific and the personal, I suggest that we should explore how historical actors negotiated the divide themselves. Indeed, I demonstrate that the study of interpersonal contexts is an invaluable tool for understanding the development of psychological disciplines. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Research in intelligent biomedical clothing vs. realities in the European textile business.

PubMed

Walter, Lutz

2004-01-01

In order to make intelligent biomedical clothing a market reality, a critical mass of scientific, technical and industrial capacities from various disciplines and industries must be successfully brought together. The textiles and clothing sector, i.e. the industry that transform natural or man-made fibres into yarns then with a myriad of processing options into complex tissues and finally into clothing, is undoubtedly a crucial element in such development. With Europe disposing of the world's most diverse, productive and innovative textiles and clothing industry, in addition to relevant expertise and resources in other scientific disciplines and industrial sectors, it could play a leading role in the advancement of the concept of intelligent biomedical clothing. In this process, a great number of challenges--firstly scientific and technical in nature--still need to be overcome and support from public funding programmes could constitute the necessary trigger for research and industrial efforts to be seriously undertaken. In view of the great benefits of such new products for the individual consumer, national health care systems and the society as a whole, a concerted effort in private-public partnership seems merited.

University-Level Teaching of Anthropogenic Global Climate Change (AGCC) via Student Inquiry

NASA Technical Reports Server (NTRS)

Bush, Drew; Sieber, Renee; Seiler, Gale; Chandler, Mark

2017-01-01

This paper reviews university-level efforts to improve understanding of anthropogenic global climate change (AGCC) through curricula that enable student scientific inquiry. We examined 152 refereed publications and proceedings from academic conferences and selected 26 cases of inquiry learning that overcome specific challenges to AGCC teaching. This review identifies both the strengths and weaknesses of each of these case studies. It is the first to go beyond examining the impact of specific inquiry instructional approaches to offer a synthesis of cases. We find that inquiry teaching can succeed by concretising scientific processes, providing access to global data and evidence, imparting critical and higher order thinking about AGCC science policy and contextualising learning with places and scientific facts. We recommend educational researchers and scientists collaborate to create and refine curricula that utilise geospatial technologies, climate models and communication technologies to bring students into contact with scientists, climate data and authentic AGCC research processes. Many available science education technologies and curricula also require further research to maximise trade-offs between implementation and training costs and their educational value.

Hackathons as a means of accelerating scientific discoveries and knowledge transfer.

PubMed

Ghouila, Amel; Siwo, Geoffrey Henry; Entfellner, Jean-Baka Domelevo; Panji, Sumir; Button-Simons, Katrina A; Davis, Sage Zenon; Fadlelmola, Faisal M; Ferdig, Michael T; Mulder, Nicola

2018-05-01

Scientific research plays a key role in the advancement of human knowledge and pursuit of solutions to important societal challenges. Typically, research occurs within specific institutions where data are generated and subsequently analyzed. Although collaborative science bringing together multiple institutions is now common, in such collaborations the analytical processing of the data is often performed by individual researchers within the team, with only limited internal oversight and critical analysis of the workflow prior to publication. Here, we show how hackathons can be a means of enhancing collaborative science by enabling peer review before results of analyses are published by cross-validating the design of studies or underlying data sets and by driving reproducibility of scientific analyses. Traditionally, in data analysis processes, data generators and bioinformaticians are divided and do not collaborate on analyzing the data. Hackathons are a good strategy to build bridges over the traditional divide and are potentially a great agile extension to the more structured collaborations between multiple investigators and institutions. © 2018 Ghouila et al.; Published by Cold Spring Harbor Laboratory Press.

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science.

PubMed

Faghmous, James H; Kumar, Vipin

2014-09-01

Global climate change and its impact on human life has become one of our era's greatest challenges. Despite the urgency, data science has had little impact on furthering our understanding of our planet in spite of the abundance of climate data. This is a stark contrast from other fields such as advertising or electronic commerce where big data has been a great success story. This discrepancy stems from the complex nature of climate data as well as the scientific questions climate science brings forth. This article introduces a data science audience to the challenges and opportunities to mine large climate datasets, with an emphasis on the nuanced difference between mining climate data and traditional big data approaches. We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications. More importantly, we highlight research showing that solely relying on traditional big data techniques results in dubious findings, and we instead propose a theory-guided data science paradigm that uses scientific theory to constrain both the big data techniques as well as the results-interpretation process to extract accurate insight from large climate data .

A Scalable, Open Source Platform for Data Processing, Archiving and Dissemination

DTIC Science & Technology

2016-01-01

Object Oriented Data Technology (OODT) big data toolkit developed by NASA and the Work-flow INstance Generation and Selection (WINGS) scientific work...to several challenge big data problems and demonstrated the utility of OODT-WINGS in addressing them. Specific demonstrated analyses address i...source software, Apache, Object Oriented Data Technology, OODT, semantic work-flows, WINGS, big data , work- flow management 16. SECURITY CLASSIFICATION OF

Exploring Cloud Computing for Large-scale Scientific Applications

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lin, Guang; Han, Binh; Yin, Jian

This paper explores cloud computing for large-scale data-intensive scientific applications. Cloud computing is attractive because it provides hardware and software resources on-demand, which relieves the burden of acquiring and maintaining a huge amount of resources that may be used only once by a scientific application. However, unlike typical commercial applications that often just requires a moderate amount of ordinary resources, large-scale scientific applications often need to process enormous amount of data in the terabyte or even petabyte range and require special high performance hardware with low latency connections to complete computation in a reasonable amount of time. To address thesemore » challenges, we build an infrastructure that can dynamically select high performance computing hardware across institutions and dynamically adapt the computation to the selected resources to achieve high performance. We have also demonstrated the effectiveness of our infrastructure by building a system biology application and an uncertainty quantification application for carbon sequestration, which can efficiently utilize data and computation resources across several institutions.« less

Governance and oversight of researcher access to electronic health data: the role of the Independent Scientific Advisory Committee for MHRA database research, 2006-2015.

PubMed

Waller, P; Cassell, J A; Saunders, M H; Stevens, R

2017-03-01

In order to promote understanding of UK governance and assurance relating to electronic health records research, we present and discuss the role of the Independent Scientific Advisory Committee (ISAC) for MHRA database research in evaluating protocols proposing the use of the Clinical Practice Research Datalink. We describe the development of the Committee's activities between 2006 and 2015, alongside growth in data linkage and wider national electronic health records programmes, including the application and assessment processes, and our approach to undertaking this work. Our model can provide independence, challenge and support to data providers such as the Clinical Practice Research Datalink database which has been used for well over 1,000 medical research projects. ISAC's role in scientific oversight ensures feasible and scientifically acceptable plans are in place, while having both lay and professional membership addresses governance issues in order to protect the integrity of the database and ensure that public confidence is maintained.

The Gaia On-Board Scientific Data Handling

NASA Astrophysics Data System (ADS)

Arenou, F.; Babusiaux, C.; Chéreau, F.; Mignot, S.

2005-01-01

Because Gaia will perform a continuous all-sky survey at a medium (Spectro) or very high (Astro) angular resolution, the on-board processing needs to cope with a high variety of objects and densities which calls for generic and adaptive algorithms at the detection level, but not only. Consequently, the Pyxis scientific algorithms developed for the on-board data handling cover a large range of application: detection and confirmation of astronomical objects, background sky estimation, classification of detected objects, Near-Earth Objects onboard detection, and window selection and positioning. Very dense fields, where the real-time computing requirements should remain within fixed bounds, are particularly challenging. Another constraint stems from the limited telemetry bandwidth and an additional compromise has to be found between scientific requirements and constraints in terms of the mass, volume and power budgets of the satellite. The rationale for the on-board data handling procedure is described here, together with the developed algorithms, the main issues and the expected scientific performances in the Astro and Spectro instruments.

On the impoverishment of scientific education.

PubMed

Dougherty, Edward R

2013-11-11

Hannah Arendt, one of the foremost political philosophers of the twentieth century, has argued that it is the responsibility of educators not to leave children in their own world but instead to bring them into the adult world so that, as adults, they can carry civilization forward to whatever challenges it will face by bringing to bear the learning of the past. In the same collection of essays, she discusses the recognition by modern science that Nature is inconceivable in terms of ordinary human conceptual categories - as she writes, 'unthinkable in terms of pure reason'. Together, these views on scientific education lead to an educational process that transforms children into adults, with a scientific adult being one who has the ability to conceptualize scientific systems independent of ordinary physical intuition. This article begins with Arendt's basic educational and scientific points and develops from them a critique of current scientific education in conjunction with an appeal to educate young scientists in a manner that allows them to fulfill their potential 'on the shoulders of giants'. While the article takes a general philosophical perspective, its specifics tend to be directed at biomedical education, in particular, how such education pertains to translational science.

On the impovesrishment of scientific education

PubMed Central

2013-01-01

Hannah Arendt, one of the foremost political philosophers of the twentieth century, has argued that it is the responsibility of educators not to leave children in their own world but instead to bring them into the adult world so that, as adults, they can carry civilization forward to whatever challenges it will face by bringing to bear the learning of the past. In the same collection of essays, she discusses the recognition by modern science that Nature is inconceivable in terms of ordinary human conceptual categories - as she writes, ‘unthinkable in terms of pure reason’. Together, these views on scientific education lead to an educational process that transforms children into adults, with a scientific adult being one who has the ability to conceptualize scientific systems independent of ordinary physical intuition. This article begins with Arendt’s basic educational and scientific points and develops from them a critique of current scientific education in conjunction with an appeal to educate young scientists in a manner that allows them to fulfill their potential ‘on the shoulders of giants’. While the article takes a general philosophical perspective, its specifics tend to be directed at biomedical education, in particular, how such education pertains to translational science. PMID:24215841

Topical oxygenation therapy in wound care: are patients getting enough?

PubMed

Hunt, Sharon

2017-08-10

Wound management is a major burden on today's healthcare provider, both clinically with regard to available resources and financially. Most importantly, it has a significant impact on the patient's quality of life and experience. Within the field of wound care these pressures, alongside an ageing population, multiple comorbidities, disease processes and negative lifestyle choices, increase incidences of reduced skin integrity and challenging wounds. In an attempt to meet these challenges alternative, innovative therapies are being explored to support the wound healing process. Wound care experts are now exploring the scientific, biological aspects of wound healing at a cellular level. They are taking wound care back to basics with the identification of elements that, if introduced as an 'adjunct' or as a stand-alone device alongside gold-standard regimens, can positively impact the static or problematic wounds that pose the most challenges to clinicians on a daily basis. This article explores the phenomenon of oxygen, its place in tissue formation and the effect of depletion on the wound healing process and highlights ways in which patients may receive benefit from non-invasive intervention to improve wound care outcomes.

Constructing Concept Schemes From Astronomical Telegrams Via Natural Language Clustering

NASA Astrophysics Data System (ADS)

Graham, Matthew; Zhang, M.; Djorgovski, S. G.; Donalek, C.; Drake, A. J.; Mahabal, A.

2012-01-01

The rapidly emerging field of time domain astronomy is one of the most exciting and vibrant new research frontiers, ranging in scientific scope from studies of the Solar System to extreme relativistic astrophysics and cosmology. It is being enabled by a new generation of large synoptic digital sky surveys - LSST, PanStarrs, CRTS - that cover large areas of sky repeatedly, looking for transient objects and phenomena. One of the biggest challenges facing these is the automated classification of transient events, a process that needs machine-processible astronomical knowledge. Semantic technologies enable the formal representation of concepts and relations within a particular domain. ATELs (http://www.astronomerstelegram.org) are a commonly-used means for reporting and commenting upon new astronomical observations of transient sources (supernovae, stellar outbursts, blazar flares, etc). However, they are loose and unstructured and employ scientific natural language for description: this makes automated processing of them - a necessity within the next decade with petascale data rates - a challenge. Nevertheless they represent a potentially rich corpus of information that could lead to new and valuable insights into transient phenomena. This project lies in the cutting-edge field of astrosemantics, a branch of astroinformatics, which applies semantic technologies to astronomy. The ATELs have been used to develop an appropriate concept scheme - a representation of the information they contain - for transient astronomy using hierarchical clustering of processed natural language. This allows us to automatically organize ATELs based on the vocabulary used. We conclude that we can use simple algorithms to process and extract meaning from astronomical textual data.

Research Experiences for Undergraduates in Estuarine and Atmospheric Processes

NASA Astrophysics Data System (ADS)

Aller, J. Y.

2009-12-01

Our program in the School of Marine and Atmospheric Sciences at Stony Brook University is unique in emphasizing the interdisciplinary study of coastal ocean and atmospheric processes. We attract a large number of both male and female undergraduate applicants representing diverse ethnic groups from across the country. Many are multi-discipline majors merging geology, biology, chemistry, or physics with engineering, and/or mathematics and welcome the opportunity to combine their academic training to examine environmental problems. Our goal is a program reflective of today’s world and environmental challenges, one that provides a ‘hands-on’ research experience which illustrates the usefulness of scientific research for understanding real-world problems or phenomena, and one in which students are challenged to apply their academic backgrounds to develop intuition about natural systems and processes. Projects this past summer focused on assessing climate change and its effects on coastal environments and processes. Projects addressed the implications of a changing global climate over the next 50 years on hydrologic cycles and coastal environments like barrier islands and beaches, on seasonal weather conditions and extreme events, on aerosols and the Earth’s radiative balance, and on aquatic habitats and biota. Collaborative field and laboratory or computer-based projects involving two or three REU students, graduate students, and several mentors, enable undergraduate students appreciate the importance of teamwork in addressing specific scientific questions or gaining maximum insight into a particular phenomenon or process. We believe that our approach allows students to understand what their role will be as scientists in the next phase of our earth’s evolution.

Rigged or rigorous? Partnerships for research and evaluation of complex social problems: Lessons from the field of violence against women and girls.

PubMed

Zimmerman, Cathy; Michau, Lori; Hossain, Mazeda; Kiss, Ligia; Borland, Rosilyne; Watts, Charlotte

2016-09-01

There is growing demand for robust evidence to address complex social phenomena such as violence against women and girls (VAWG). Research partnerships between scientists and non-governmental or international organizations (NGO/IO) are increasingly popular, but can pose challenges, including concerns about potential conflicts of interest. Drawing on our experience collaborating on VAWG research, we describe challenges and contributions that NGO/IO and academic partners can make at different stages of the research process and the effects that collaborations can have on scientific inquiry. Partners may struggle with differing priorities and misunderstandings about roles, limitations, and intentions. Benefits of partnerships include a shared vision of study goals, differing and complementary expertise, mutual respect, and a history of constructive collaboration. Our experience suggests that when investigating multi-faceted social problems, instead of 'rigging' study results, research collaborations can strengthen scientific rigor and offer the greatest potential for impact in the communities we seek to serve.

NASA Earth Science Research and Applications Using UAVs

NASA Technical Reports Server (NTRS)

Guillory, Anthony R.

2003-01-01

The NASA Earth Science Enterprise sponsored the UAV Science Demonstration Project, which funded two projects: the Altus Cumulus Electrification Study (ACES) and the UAV Coffee Harvest Optimization experiment. These projects were intended to begin a process of integrating UAVs into the mainstream of NASA s airborne Earth Science Research and Applications programs. The Earth Science Enterprise is moving forward given the positive science results of these demonstration projects to incorporate more platforms with additional scientific utility into the program and to look toward a horizon where the current piloted aircraft may not be able to carry out the science objectives of a mission. Longer duration, extended range, slower aircraft speed, etc. all have scientific advantages in many of the disciplines within Earth Science. The challenge we now face are identifying those capabilities that exist and exploiting them while identifying the gaps. This challenge has two facets: the engineering aspects of redesigning or modifying sensors and a paradigm shift by the scientists.

Trends in meat science and technology: the future looks bright, but the journey will be long.

PubMed

Kristensen, L; Støier, S; Würtz, J; Hinrichsen, L

2014-11-01

With an increasing world population, an increase in affluence and a substantial growth in the demand for high quality protein, the meat sector faces a fantastic but challenging century. New scientific knowledge, technology and creative minds are the main ingredients in order to reach out for this great opportunity. Efficiency all the way from breeding and farming to processing and dispatch is crucial for success. Technology has brought us far, and there is still a huge potential for increased efficiency by implementing best practices on a global scale. New challenges include: hyper flexible automation, more accurate and faster measurement systems and meeting special consumer demands already at the production line. Systems for optimal animal welfare will be even more important and sustainability is no longer a consumer trend but a license to operate. The scientific meat society must provide knowledge and technology so we together can reach out for a seemingly bright future. Copyright © 2014 Elsevier Ltd. All rights reserved.

Scientist-Practitioner Engagement to Inform Regional Hydroclimate Model Evaluation

NASA Astrophysics Data System (ADS)

Jones, A. D.; Jagannathan, K. A.; Ullrich, P. A.

2017-12-01

Water mangers face significant challenges in planning for the coming decades as previously stationary aspects of the regional hydroclimate shift in response to global climate change. Providing scientific insights that enable appropriate use of regional hydroclimate projections for planning is a non-trivial problem. The system of data, models, and methods used to produce regional hydroclimate projections is subject to multiple interacting uncertainties and biases, including uncertainties that arise from general circulation models, re-analysis data products, regional climate models, hydrologic models, and statistical downscaling methods. Moreover, many components of this system were not designed with the information needs of water managers in mind. To address this problem and provide actionable insights into the sources of uncertainty present in regional hydroclimate data products, Project Hyperion has undertaken a stakeholder engagement process in four case study water basins across the US. Teams of water managers and scientists are interacting in a structured manner to identify decision-relevant metrics of model performance. These metrics are in turn being used to drive scientific investigations to uncover the sources of uncertainty in these quantities. Thus far, we have found that identification of climate phenomena of interest to stakeholders is relatively easy, but translating these into specific quantifiable metrics and prioritizing metrics is more challenging. Iterative feedback among scientists and stakeholders has proven critical in resolving these challenges, as has the roles played by boundary spanners who understand and can speak to the perspectives of multiple professional communities. Here we describe the structured format of our engagement process and the lessons learned so far, as we aim to improve the decision-relevance of hydroclimate projections through a collaborative process.

The role of the media in the science-policy nexus. Some critical reflections based on an analysis of the Belgian drug policy debate (1996-2003).

PubMed

Tieberghien, Julie

2014-03-01

Drug policy is one of the most polarised subjects of public debate and media coverage, which frequently tend to be dramatic and event-centred. Although the role of the media in directing the drug discourse is widely acknowledged, limited research has been conducted in examining the particular role of the media in the science-policy nexus. We sought to determine how the (mis)representation of scientific knowledge in the media may, or may not, have an impact on the contribution of scientific knowledge to the drug-policy making process. Using a case study of the Belgian drug-policy debates between 1996 and 2003, we conducted a discourse analysis of specially selected 1067 newspaper articles and 164 policy documents. Our analysis focused on: textual elements that feature intra-discourse differences, how players and scientific knowledge are represented in the text, the arguments used and claims made, and the various types of research utilisation. Media discourse strongly influenced the public's and policy makers' understanding as well as the content of the Belgian drug policy debate between 1996 and 2003. As a major source of scientific knowledge, media coverage supported the 'enlightenment' role of scientific knowledge in the policy-making process by broadening and even determining frames of reference. However, as the presentation of scientific knowledge in the media was often inaccurate or distorted due to the lack of contextual information or statistical misinformation, the media may also support the selective utilisation of scientific knowledge. Many challenges as well as opportunities lie ahead for researchers who want to influence the policy-making process since most research fails to go beyond academic publications. Although media is a valuable linking mechanism between science and policy, by no means does it provide scientists with a guarantee of a more 'evidence-based' drug policy. Copyright © 2013 Elsevier B.V. All rights reserved.

Rethinking Environmental Protection: Meeting the Challenges of a Changing World.

PubMed

Burke, Thomas A; Cascio, Wayne E; Costa, Daniel L; Deener, Kacee; Fontaine, Thomas D; Fulk, Florence A; Jackson, Laura E; Munns, Wayne R; Orme-Zavaleta, Jennifer; Slimak, Michael W; Zartarian, Valerie G

2017-03-01

From climate change to hydraulic fracturing, and from drinking water safety to wildfires, environmental challenges are changing. The United States has made substantial environmental protection progress based on media-specific and single pollutant risk-based frameworks. However, today’s environmental problems are increasingly complex and new scientific approaches and tools are needed to achieve sustainable solutions to protect the environment and public health. In this article, we present examples of today’s environmental challenges and offer an integrated systems approach to address them. We provide a strategic framework and recommendations for advancing the application of science for protecting the environment and public health. We posit that addressing 21st century challenges requires transdisciplinary and systems approaches, new data sources, and stakeholder partnerships. To address these challenges, we outline a process driven by problem formulation with the following steps: a ) formulate the problem holistically, b ) gather and synthesize diverse information, c ) develop and assess options, and d ) implement sustainable solutions. This process will require new skills and education in systems science, with an emphasis on science translation. A systems-based approach can transcend media- and receptor-specific bounds, integrate diverse information, and recognize the inextricable link between ecology and human health.

Rethinking Environmental Protection: Meeting the Challenges of a Changing World

PubMed Central

Burke, Thomas A.; Cascio, Wayne E.; Costa, Daniel L.; Deener, Kacee; Fontaine, Thomas D.; Fulk, Florence A.; Jackson, Laura E.; Munns, Wayne R.; Orme-Zavaleta, Jennifer; Slimak, Michael W.; Zartarian, Valerie G.

2017-01-01

Summary: From climate change to hydraulic fracturing, and from drinking water safety to wildfires, environmental challenges are changing. The United States has made substantial environmental protection progress based on media-specific and single pollutant risk-based frameworks. However, today’s environmental problems are increasingly complex and new scientific approaches and tools are needed to achieve sustainable solutions to protect the environment and public health. In this article, we present examples of today’s environmental challenges and offer an integrated systems approach to address them. We provide a strategic framework and recommendations for advancing the application of science for protecting the environment and public health. We posit that addressing 21st century challenges requires transdisciplinary and systems approaches, new data sources, and stakeholder partnerships. To address these challenges, we outline a process driven by problem formulation with the following steps: a) formulate the problem holistically, b) gather and synthesize diverse information, c) develop and assess options, and d) implement sustainable solutions. This process will require new skills and education in systems science, with an emphasis on science translation. A systems-based approach can transcend media- and receptor-specific bounds, integrate diverse information, and recognize the inextricable link between ecology and human health. PMID:28248180

EFSA's scientific activities and achievements on the risk assessment of genetically modified organisms (GMOs) during its first decade of existence: looking back and ahead.

PubMed

Devos, Yann; Aguilera, Jaime; Diveki, Zoltán; Gomes, Ana; Liu, Yi; Paoletti, Claudia; du Jardin, Patrick; Herman, Lieve; Perry, Joe N; Waigmann, Elisabeth

2014-02-01

Genetically modified organisms (GMOs) and derived food and feed products are subject to a risk analysis and regulatory approval before they can enter the market in the European Union (EU). In this risk analysis process, the role of the European Food Safety Authority (EFSA), which was created in 2002 in response to multiple food crises, is to independently assess and provide scientific advice to risk managers on any possible risks that the use of GMOs may pose to human and animal health and the environment. EFSA's scientific advice is elaborated by its GMO Panel with the scientific support of several working groups and EFSA's GMO Unit. This review presents EFSA's scientific activities and highlights its achievements on the risk assessment of GMOs for the first 10 years of its existence. Since 2002, EFSA has issued 69 scientific opinions on genetically modified (GM) plant market registration applications, of which 62 for import and processing for food and feed uses, six for cultivation and one for the use of pollen (as or in food), and 19 scientific opinions on applications for marketing products made with GM microorganisms. Several guidelines for the risk assessment of GM plants, GM microorganisms and GM animals, as well as on specific issues such as post-market environmental monitoring (PMEM) were elaborated. EFSA also provided scientific advice upon request of the European Commission on safeguard clause and emergency measures invoked by EU Member States, annual PMEM reports, the potential risks of new biotechnology-based plant breeding techniques, evaluations of previously assessed GMOs in the light of new scientific publications, and the use of antibiotic resistance marker genes in GM plants. Future challenges relevant to the risk assessment of GMOs are discussed. EFSA's risk assessments of GMO applications ensure that data are analysed and presented in a way that facilitates scientifically sound decisions that protect human and animal health and the environment.

Performance analysis of a dual-tree algorithm for computing spatial distance histograms

PubMed Central

Chen, Shaoping; Tu, Yi-Cheng; Xia, Yuni

2011-01-01

Many scientific and engineering fields produce large volume of spatiotemporal data. The storage, retrieval, and analysis of such data impose great challenges to database systems design. Analysis of scientific spatiotemporal data often involves computing functions of all point-to-point interactions. One such analytics, the Spatial Distance Histogram (SDH), is of vital importance to scientific discovery. Recently, algorithms for efficient SDH processing in large-scale scientific databases have been proposed. These algorithms adopt a recursive tree-traversing strategy to process point-to-point distances in the visited tree nodes in batches, thus require less time when compared to the brute-force approach where all pairwise distances have to be computed. Despite the promising experimental results, the complexity of such algorithms has not been thoroughly studied. In this paper, we present an analysis of such algorithms based on a geometric modeling approach. The main technique is to transform the analysis of point counts into a problem of quantifying the area of regions where pairwise distances can be processed in batches by the algorithm. From the analysis, we conclude that the number of pairwise distances that are left to be processed decreases exponentially with more levels of the tree visited. This leads to the proof of a time complexity lower than the quadratic time needed for a brute-force algorithm and builds the foundation for a constant-time approximate algorithm. Our model is also general in that it works for a wide range of point spatial distributions, histogram types, and space-partitioning options in building the tree. PMID:21804753

Towards ontology-driven navigation of the lipid bibliosphere

PubMed Central

Baker, Christopher JO; Kanagasabai, Rajaraman; Ang, Wee Tiong; Veeramani, Anitha; Low, Hong-Sang; Wenk, Markus R

2008-01-01

Background The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available in legacy formats continues to be a challenge both in enterprise and academic domains. The emergence of semantic web technologies and their fusion with artificial intelligence techniques has provided a new toolkit with which to address these data integration challenges. In the emerging field of lipidomics such navigation challenges are barriers to the translation of scientific results into actionable knowledge, critical to the treatment of diseases such as Alzheimer's syndrome, Mycobacterium infections and cancer. Results We present a literature-driven workflow involving document delivery and natural language processing steps generating tagged sentences containing lipid, protein and disease names, which are instantiated to custom designed lipid ontology. We describe the design challenges in capturing lipid nomenclature, the mandate of the ontology and its role as query model in the navigation of the lipid bibliosphere. We illustrate the extent of the description logic-based A-box query capability provided by the instantiated ontology using a graphical query composer to query sentences describing lipid-protein and lipid-disease correlations. Conclusion As scientists accept the need to readjust the manner in which we search for information and derive knowledge we illustrate a system that can constrain the literature explosion and knowledge navigation problems. Specifically we have focussed on solving this challenge for lipidomics researchers who have to deal with the lack of standardized vocabulary, differing classification schemes, and a wide array of synonyms before being able to derive scientific insights. The use of the OWL-DL variant of the Web Ontology Language (OWL) and description logic reasoning is pivotal in this regard, providing the lipid scientist with advanced query access to the results of text mining algorithms instantiated into the ontology. The visual query paradigm assists in the adoption of this technology. PMID:18315858

Towards ontology-driven navigation of the lipid bibliosphere.

PubMed

Baker, Christopher Jo; Kanagasabai, Rajaraman; Ang, Wee Tiong; Veeramani, Anitha; Low, Hong-Sang; Wenk, Markus R

2008-01-01

The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available in legacy formats continues to be a challenge both in enterprise and academic domains. The emergence of semantic web technologies and their fusion with artificial intelligence techniques has provided a new toolkit with which to address these data integration challenges. In the emerging field of lipidomics such navigation challenges are barriers to the translation of scientific results into actionable knowledge, critical to the treatment of diseases such as Alzheimer's syndrome, Mycobacterium infections and cancer. We present a literature-driven workflow involving document delivery and natural language processing steps generating tagged sentences containing lipid, protein and disease names, which are instantiated to custom designed lipid ontology. We describe the design challenges in capturing lipid nomenclature, the mandate of the ontology and its role as query model in the navigation of the lipid bibliosphere. We illustrate the extent of the description logic-based A-box query capability provided by the instantiated ontology using a graphical query composer to query sentences describing lipid-protein and lipid-disease correlations. As scientists accept the need to readjust the manner in which we search for information and derive knowledge we illustrate a system that can constrain the literature explosion and knowledge navigation problems. Specifically we have focussed on solving this challenge for lipidomics researchers who have to deal with the lack of standardized vocabulary, differing classification schemes, and a wide array of synonyms before being able to derive scientific insights. The use of the OWL-DL variant of the Web Ontology Language (OWL) and description logic reasoning is pivotal in this regard, providing the lipid scientist with advanced query access to the results of text mining algorithms instantiated into the ontology. The visual query paradigm assists in the adoption of this technology.

A citrus waste-based biorefinery as a source of renewable energy: technical advances and analysis of engineering challenges.

PubMed

Rivas-Cantu, Raul C; Jones, Kim D; Mills, Patrick L

2013-04-01

An assessment of recent technical advances on pretreatment processes and its effects on enzymatic hydrolysis as the main steps of a proposed citrus processing waste (CPW) biorefinery is presented. Engineering challenges and relevant gaps in scientific and technical information for reliable design, modeling and scale up of a CPW biorefinery are also discussed. Some integrated physico-chemical pretreatments are proposed for testing for CPW, including high speed knife-grinding and simultaneous caustic addition. These new proposed processes and the effect of parameters such as particle size, surface area and morphology, pore volume and chemical composition of the diverse fractions resulting from pretreatment and enzymatic hydrolysis need to be evaluated and compared for pretreated and untreated samples of grapefruit processing waste. This assessment suggests the potential for filling the data gaps, and preliminary results demonstrate that the reduction of particle size and the increased surface area for the CPW will result in higher reaction rates and monosaccharide yields for the pretreated waste material.

THz spectroscopy: An emerging technology for pharmaceutical development and pharmaceutical Process Analytical Technology (PAT) applications

NASA Astrophysics Data System (ADS)

Wu, Huiquan; Khan, Mansoor

2012-08-01

As an emerging technology, THz spectroscopy has gained increasing attention in the pharmaceutical area during the last decade. This attention is due to the fact that (1) it provides a promising alternative approach for in-depth understanding of both intermolecular interaction among pharmaceutical molecules and pharmaceutical product quality attributes; (2) it provides a promising alternative approach for enhanced process understanding of certain pharmaceutical manufacturing processes; and (3) the FDA pharmaceutical quality initiatives, most noticeably, the Process Analytical Technology (PAT) initiative. In this work, the current status and progress made so far on using THz spectroscopy for pharmaceutical development and pharmaceutical PAT applications are reviewed. In the spirit of demonstrating the utility of first principles modeling approach for addressing model validation challenge and reducing unnecessary model validation "burden" for facilitating THz pharmaceutical PAT applications, two scientific case studies based on published THz spectroscopy measurement results are created and discussed. Furthermore, other technical challenges and opportunities associated with adapting THz spectroscopy as a pharmaceutical PAT tool are highlighted.

Appropriate technology and climate change adaptation

NASA Astrophysics Data System (ADS)

Bandala, Erick R.; Patiño-Gomez, Carlos

2016-02-01

Climate change is emerging as the greatest significant environmental problem for the 21st Century and the most important global challenge faced by human kind. Based on evidence recognized by the international scientific community, climate change is already an unquestionable reality, whose first effects are beginning to be measured. Available climate projections and models can assist in anticipating potential far-reaching consequences for development processes. Climatic transformations will impact the environment, biodiversity and water resources, putting several productive processes at risk; and will represent a threat to public health and water availability in quantity and quality.

The attitudes of science policy, environmental, and utility leaders on US energy issues and fusion

NASA Astrophysics Data System (ADS)

Miller, J. D.

1986-11-01

One example of basic and applied research at LLNL that has produced major, highly visible scientific and engineering advances has been the research related to controlled fusion energy. Continuing experimentation at LLNL and elsewhere is likely to demonstrate that fusion is a viable, inexhaustible alternative source of energy. Having conducted major fusion energy experiments for over 30 years at LLNL, it scientists and engineers recognized the enormous challenges that lay ahead in this important endeavor. To be successful, it was clear that collaborative efforts with universities, private industry, and other national laboratories would need to be greatly expanded. Along with invention and scientific discovery would come the challenge of transferring the myriad of new technologies from the laboratories to the private sector for commercialization of the fusion energy process and the application of related technologies to yet unimagined new industries and products. Therefore, using fusion energy research as the focus, the Laboratory's Technology Transfer Initiatives Program contracted with the Public Opinion Laboratory to conduct a survey designed to promote a better understanding of effective technology transfer. As one of the recognized authorities on scientific surveys, Dr. Jon Miller of the POL worked with Laboratory scientists to understand the objectives of the survey. He then formulated the questions, designed the survey, and derived his survey sample from a qualified list developed at the POL, which has formed the basis for other survey panels. This report, prepared by Dr. Miller, describes the basis and methodology of this survey process and then presents the survey findings and some conclusions.

SIMBIOS Project

NASA Technical Reports Server (NTRS)

Fargion, Giulietta S.; McClain, Charles R.; Busalacchi, Antonio J. (Technical Monitor)

2001-01-01

The purpose of this technical report is to provide current documentation of the Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Project activities, NASA Research Announcement (NRAI) research status, satellite data processing, data product validation, and field calibration. This documentation is necessary to ensure that critical information is related to the scientific community and NASA management. This critical information includes the technical difficulties and challenges of validating and combining ocean color data from an array of independent satellite systems to form consistent and accurate global bio-optical time series products. This technical report is not meant as a substitute for scientific literature. Instead, it will provide a ready and responsive vehicle for the multitude of technical reports issued by an operational project.

The Concept of Ecologically Oriented Progress and Natural Resource Preservation

NASA Astrophysics Data System (ADS)

Gasanov, M. A.; Kolotov, K. A.; Demidenko, K. A.; Podgornaya, E. A.; Kadnikova, O. V.

2017-01-01

The most important issue of scientific and technological progress is considering the environment challenges of industrial development. It means that the progress must be ecologically oriented and environmentally friendly. The most adequate concept for the approach to the issue of “man - society - nature” relations is the ontology of the noosphere - the idea of a common space for human beings and nature. It presents an ideal example of an optimistic attitude towards the coordination between accelerating the scientific and technological development and natural resource saving. However, to maintain the balance between human needs and environmental processes determined by this concept, it is essential to include the lean production training into technological development of society.

Rosetta mission status: challenges of flying near a comet

NASA Astrophysics Data System (ADS)

Martin, P.; Taylor, M.; Kueppers, M.; O'Rourke, L.; Lodiot, S.

2015-10-01

Recent operational events, most likely due to the increased presence of dust near the spacecraft during close flybys of C67P/Churyumov-Gerasimenko in the comet escort phase, have led to a redefinition of the Rosetta mission through the design of new trajectories allowing the spacecraft and its payload to continue flying safely around the comet while augmenting the wealth of scientific data and results that has characterized the beginning of the mission so far. A decision process is being put in place in view of finding the best ways forward operationally so as to recover some capabilities that will allow Rosetta to continue optimising its scientific mission, in both the nominal and expected extended mission intervals.

Office of the Chief Financial Officer 2012 Annual Report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, Kim

2013-01-31

Fiscal Year 2012 was a year of progress and change in the Office of the Chief Financial Officer (OCFO) organization. The notable accomplishments outlined below strengthened the quality of the OCFO’s stewardship and services in support of the scientific mission of Lawrence Berkeley National Laboratory (LBNL). Three strategies were key to this progress: organizational transformation aligned with our goals; process redesign and effective use of technology to improve efficiency, and innovative solutions to meet new challenges. Over the next year we will continue to apply these strategies to further enhance our contributions to the Lab’s scientific mission. What follows ismore » the budget, funding and costs for the office for FY 2012.« less

Nursing practice in home care: an integrative literature review.

PubMed

Andrade, Angélica Mônica; Silva, Kênia Lara; Seixas, Clarissa Terenzi; Braga, Patrícia Pinto

2017-01-01

analyze scientific production on nursing practice in home care. integrative review employing databases LILACS, BDENF, IBECS, and MEDLINE. Studies in Spanish, English, and Portuguese were included, regardless of publishing date. after analyzing 48 articles, it was found that nursing practice in home care is complex, employing a multitude of actions by using three technologies: soft; soft-hard especially; and hard. Challenges related to the home-care training process are reported in the literature. Nurses use knowledge from their experience and scientific recommendations in conjunction with their reflections on the practice. home nursing practice is fundamental and widespread. Relational and educational actions stand out as necessary even in technical care, with a predominant need for home-care training.

The Future of Pharmaceutical Manufacturing Sciences

PubMed Central

2015-01-01

The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products. Commercial‐scale manufacturing of complex drug delivery systems (DDSs) using the existing technologies is challenging. This review covers important elements of manufacturing sciences, beginning with risk management strategies and design of experiments (DoE) techniques. Experimental techniques should, where possible, be supported by computational approaches. With that regard, state‐of‐art mechanistic process modeling techniques are described in detail. Implementation of materials science tools paves the way to molecular‐based processing of future DDSs. A snapshot of some of the existing tools is presented. Additionally, general engineering principles are discussed covering process measurement and process control solutions. Last part of the review addresses future manufacturing solutions, covering continuous processing and, specifically, hot‐melt processing and printing‐based technologies. Finally, challenges related to implementing these technologies as a part of future health care systems are discussed. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:3612–3638, 2015 PMID:26280993

The Future of Pharmaceutical Manufacturing Sciences.

PubMed

Rantanen, Jukka; Khinast, Johannes

2015-11-01

The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products. Commercial-scale manufacturing of complex drug delivery systems (DDSs) using the existing technologies is challenging. This review covers important elements of manufacturing sciences, beginning with risk management strategies and design of experiments (DoE) techniques. Experimental techniques should, where possible, be supported by computational approaches. With that regard, state-of-art mechanistic process modeling techniques are described in detail. Implementation of materials science tools paves the way to molecular-based processing of future DDSs. A snapshot of some of the existing tools is presented. Additionally, general engineering principles are discussed covering process measurement and process control solutions. Last part of the review addresses future manufacturing solutions, covering continuous processing and, specifically, hot-melt processing and printing-based technologies. Finally, challenges related to implementing these technologies as a part of future health care systems are discussed. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association.

The challenge of bridging science and policy in the Baltic Sea eutrophication governance in Finland: the perspective of science.

PubMed

Pihlajamäki, Mia; Tynkkynen, Nina

2011-03-01

This article examines the views of scientists on intricacies of scientific knowledge that affect science-policy interface in the Baltic Sea eutrophication governance in Finland. The analysis demonstrates that these intricacies can be divided into five categories: (1) uncertainty of knowledge concerning ecological processes, (2) heterogeneity of knowledge, (3) societal and political call for (certain) knowledge, (4) contingency of the knowledge that ends up taken as a baseline for decision making and further research, and (5) linkages of knowledge production, processing, and communication to particular characteristics of individual researchers and research societies. By explicating these aspects, this article illustrates the ways in which scientific knowledge concerning eutrophication is human-bound and susceptible to interpretation, thus adding on to the uncertainty of the Baltic Sea environmental governance. The aim is, then, to open up perspectives on how ambiguities related to science-policy interface could be coped with.

Responsible science: Ensuring the integrity of the research process. Volume 1. Final report, 1989--1992

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

In 1989, the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine initiated a major study to examine issues related to scientific responsibility and the conduct of research. This report thoughtfully examines the challenges posed in ensuring that the search for truth reflects adherence to ethical standards. In recent years we have learned that not all scientists adhere to this obligation. Issues of misconduct and integrity in science present complex questions. This report recommends specific actions that all scientists, their institutions, and their sponsors can take to preserve and strengthen the integrity of the researchmore » process and also to deal with allegations of misconduct. The recommendations provide a blueprint for encouraging and safeguarding the intellectual independence that is essential to doing the best science while also providing for fundamental accountability to those who sponsor and support scientific research.« less

Challenges with Graph Interpretation: A Review of the Literature

ERIC Educational Resources Information Center

Glazer, Nirit

2011-01-01

With the growing emphasis on the development of scientific inquiry skills, the display and interpretation of data are becoming increasingly important. Graph interpretation competence is, in fact, essential to understanding today's world and to be scientifically literate. However, graph interpretation is a complex and challenging activity. Graph…

Applying Scientific Principles to Resolve Student Misconceptions

ERIC Educational Resources Information Center

Yin, Yue

2012-01-01

Misconceptions about sinking and floating phenomena are some of the most challenging to overcome (Yin 2005), possibly because explaining sinking and floating requires students to understand challenging topics such as density, force, and motion. Two scientific principles are typically used in U.S. science curricula to explain sinking and floating:…

If It Can Be Studied or Developed, Should It Be?

ERIC Educational Resources Information Center

Sarason, Seymour B.

1984-01-01

Challenges the axiom that unalloyed benefits accrue to society by virtue of untrammeled scientific inquiry and technological advance. Discusses examples of challenges from within and without the scientific community in matters of atomic energy, space exploration, genetic engineering, and inquiry into racial and ethnic differences in intelligence.…

Genetically engineered crops for biofuel production: regulatory perspectives.

PubMed

Lee, David; Chen, Alice; Nair, Ramesh

2008-01-01

There are numerous challenges in realizing the potential of biofuels that many policy makers have envisioned. The technical challenges in making the production of biofuels economical and on a scale to replace a significant fraction of transportation fuel have been well described, along with the potential environmental concerns. The use of biotechnology can potentially address many of these technical challenges and environmental concerns, but brings significant regulatory hurdles that have not been discussed extensively in the scientific community. This review will give an overview of the approaches being developed to produce transgenic biofuel feedstocks, particularly cellulosic ethanol, and the regulatory process in the United States that oversees the development and commercialization of new transgenic plants. We hope to illustrate that the level of regulation for transgenic organisms is not proportional to their potential risk to human health or the environment, and that revisions to the regulatory system in the U.S. currently under consideration are necessary to streamline the process.

Scientific writing of novice researchers: what difficulties and encouragements do they encounter?

PubMed

Shah, Jatin; Shah, Anand; Pietrobon, Ricardo

2009-04-01

Writing scientific articles is a daunting task for novice researchers. In this qualitative study carried out in 2007, the authors evaluated the experiences of a group of novice researchers engaged in the writing process, to elucidate the main difficulties and sources of encouragement they encountered. Sixteen novice researchers were interviewed. Most were women (10), and most were enrolled in programs of medicine (9), followed by nursing (4) and physical therapy (3). These were drawn via convenience sampling from a randomized control trial in which 48 of them were equally assigned to either an online or a face-to-face course of instruction. On completion, interviews were conducted in focus groups of four students each. The interviews were transcribed and read independently by two of the authors, who then encoded the material based on the principles of grounded theory. Initial categories were converted to major emerging themes, which were validated when participants were asked to review the findings. Triangulation of results was carried out by discussing the emerging themes in an online forum with five specialists in college writing education. Classifying the diverse responses of participants led to the emergence of four major themes: cognitive burden, group support and mentoring, difficulty in distinguishing between content and structure, and backward design of manuscripts. The themes produced by this study provide some insight into the challenges faced by novice researchers in their early attempts at scientific writing. Remedies that address these challenges are needed to substantially improve scientific writing instruction.

Animal behavior and well-being symposium: Farm animal welfare assurance: science and application.

PubMed

Rushen, J; Butterworth, A; Swanson, J C

2011-04-01

Public and consumer pressure for assurances that farm animals are raised humanely has led to a range of private and public animal welfare standards, and for methods to assess compliance with these standards. The standards usually claim to be science based, but even though researchers have developed measures of animal welfare and have tested the effects of housing and management variables on welfare within controlled laboratory settings, there are challenges in extending this research to develop on-site animal welfare standards. The standards need to be validated against a definition of welfare that has broad support and which is amenable to scientific investigation. Ensuring that such standards acknowledge scientific uncertainty is also challenging, and balanced input from all scientific disciplines dealing with animal welfare is needed. Agencies providing animal welfare audit services need to integrate these scientific standards and legal requirements into successful programs that effectively measure and objectively report compliance. On-farm assessment of animal welfare requires a combination of animal-based measures to assess the actual state of welfare and resource-based measures to identify risk factors. We illustrate this by referring to a method of assessing welfare in broiler flocks. Compliance with animal welfare standards requires buy-in from all stakeholders, and this will be best achieved by a process of inclusion in the development of pragmatic assessment methods and the development of audit programs verifying the conditions and continuous improvement of farm animal welfare.

Working Group on Virtual Data Integration

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, D. N.; Palanisamy, G.; van Dam, K. K.

2016-02-04

This report is the outcome of a workshop commissioned by the U.S. Department of Energy’s (DOE) Climate and Environmental Sciences Division (CESD) to examine current and future data infrastructure requirements foundational for achieving CESD scientific mission goals in advancing a robust, predictive understanding of Earth’s climate and environmental systems. Over the past several years, data volumes in CESD disciplines have risen sharply to unprecedented levels (tens of petabytes). Moreover, the complexity and diversity of this research data— including simulations, observations, and reanalysis— have grown significantly, posing new challenges for data capture, storage, verification, analysis, and integration. With the trends ofmore » increased data volume (in the hundreds of petabytes), more complex analysis processes, and growing cross-disciplinary collaborations, it is timely to investigate whether the CESD community has the computational and data support needed to fully realize the scientific potential of its data collections. In recognition of the challenges, a partnership is forming across CESD and among national and international agencies to examine the viability of creating an integrated, collaborative data infrastructure: a Virtual Laboratory. The overarching goal of this report is to identify the community’s key data technology requirements and high-priority development needs for sustaining and growing its scientific discovery potential. The report also aims to map these requirements to existing solutions and to identify gaps in current services, tools, and infrastructure that will need to be addressed in the short, medium, and long term to advance scientific progress.« less

Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yoo, Wucherl; Koo, Michelle; Cao, Yu

Big data is prevalent in HPC computing. Many HPC projects rely on complex workflows to analyze terabytes or petabytes of data. These workflows often require running over thousands of CPU cores and performing simultaneous data accesses, data movements, and computation. It is challenging to analyze the performance involving terabytes or petabytes of workflow data or measurement data of the executions, from complex workflows over a large number of nodes and multiple parallel task executions. To help identify performance bottlenecks or debug the performance issues in large-scale scientific applications and scientific clusters, we have developed a performance analysis framework, using state-ofthe-more » art open-source big data processing tools. Our tool can ingest system logs and application performance measurements to extract key performance features, and apply the most sophisticated statistical tools and data mining methods on the performance data. It utilizes an efficient data processing engine to allow users to interactively analyze a large amount of different types of logs and measurements. To illustrate the functionality of the big data analysis framework, we conduct case studies on the workflows from an astronomy project known as the Palomar Transient Factory (PTF) and the job logs from the genome analysis scientific cluster. Our study processed many terabytes of system logs and application performance measurements collected on the HPC systems at NERSC. The implementation of our tool is generic enough to be used for analyzing the performance of other HPC systems and Big Data workows.« less

An automated and integrated framework for dust storm detection based on ogc web processing services

NASA Astrophysics Data System (ADS)

Xiao, F.; Shea, G. Y. K.; Wong, M. S.; Campbell, J.

2014-11-01

Dust storms are known to have adverse effects on public health. Atmospheric dust loading is also one of the major uncertainties in global climatic modelling as it is known to have a significant impact on the radiation budget and atmospheric stability. The complexity of building scientific dust storm models is coupled with the scientific computation advancement, ongoing computing platform development, and the development of heterogeneous Earth Observation (EO) networks. It is a challenging task to develop an integrated and automated scheme for dust storm detection that combines Geo-Processing frameworks, scientific models and EO data together to enable the dust storm detection and tracking processes in a dynamic and timely manner. This study develops an automated and integrated framework for dust storm detection and tracking based on the Web Processing Services (WPS) initiated by Open Geospatial Consortium (OGC). The presented WPS framework consists of EO data retrieval components, dust storm detecting and tracking component, and service chain orchestration engine. The EO data processing component is implemented based on OPeNDAP standard. The dust storm detecting and tracking component combines three earth scientific models, which are SBDART model (for computing aerosol optical depth (AOT) of dust particles), WRF model (for simulating meteorological parameters) and HYSPLIT model (for simulating the dust storm transport processes). The service chain orchestration engine is implemented based on Business Process Execution Language for Web Service (BPEL4WS) using open-source software. The output results, including horizontal and vertical AOT distribution of dust particles as well as their transport paths, were represented using KML/XML and displayed in Google Earth. A serious dust storm, which occurred over East Asia from 26 to 28 Apr 2012, is used to test the applicability of the proposed WPS framework. Our aim here is to solve a specific instance of a complex EO data and scientific model integration problem by using a framework and scientific workflow approach together. The experimental result shows that this newly automated and integrated framework can be used to give advance near real-time warning of dust storms, for both environmental authorities and public. The methods presented in this paper might be also generalized to other types of Earth system models, leading to improved ease of use and flexibility.

magHD: a new approach to multi-dimensional data storage, analysis, display and exploitation

NASA Astrophysics Data System (ADS)

Angleraud, Christophe

2014-06-01

The ever increasing amount of data and processing capabilities - following the well- known Moore's law - is challenging the way scientists and engineers are currently exploiting large datasets. The scientific visualization tools, although quite powerful, are often too generic and provide abstract views of phenomena, thus preventing cross disciplines fertilization. On the other end, Geographic information Systems allow nice and visually appealing maps to be built but they often get very confused as more layers are added. Moreover, the introduction of time as a fourth analysis dimension to allow analysis of time dependent phenomena such as meteorological or climate models, is encouraging real-time data exploration techniques that allow spatial-temporal points of interests to be detected by integration of moving images by the human brain. Magellium is involved in high performance image processing chains for satellite image processing as well as scientific signal analysis and geographic information management since its creation (2003). We believe that recent work on big data, GPU and peer-to-peer collaborative processing can open a new breakthrough in data analysis and display that will serve many new applications in collaborative scientific computing, environment mapping and understanding. The magHD (for Magellium Hyper-Dimension) project aims at developing software solutions that will bring highly interactive tools for complex datasets analysis and exploration commodity hardware, targeting small to medium scale clusters with expansion capabilities to large cloud based clusters.

Research design: the methodology for interdisciplinary research framework.

PubMed

Tobi, Hilde; Kampen, Jarl K

2018-01-01

Many of today's global scientific challenges require the joint involvement of researchers from different disciplinary backgrounds (social sciences, environmental sciences, climatology, medicine, etc.). Such interdisciplinary research teams face many challenges resulting from differences in training and scientific culture. Interdisciplinary education programs are required to train truly interdisciplinary scientists with respect to the critical factor skills and competences. For that purpose this paper presents the Methodology for Interdisciplinary Research (MIR) framework. The MIR framework was developed to help cross disciplinary borders, especially those between the natural sciences and the social sciences. The framework has been specifically constructed to facilitate the design of interdisciplinary scientific research, and can be applied in an educational program, as a reference for monitoring the phases of interdisciplinary research, and as a tool to design such research in a process approach. It is suitable for research projects of different sizes and levels of complexity, and it allows for a range of methods' combinations (case study, mixed methods, etc.). The different phases of designing interdisciplinary research in the MIR framework are described and illustrated by real-life applications in teaching and research. We further discuss the framework's utility in research design in landscape architecture, mixed methods research, and provide an outlook to the framework's potential in inclusive interdisciplinary research, and last but not least, research integrity.

A toolbox and record for scientific models

NASA Technical Reports Server (NTRS)

Ellman, Thomas

1994-01-01

Computational science presents a host of challenges for the field of knowledge-based software design. Scientific computation models are difficult to construct. Models constructed by one scientist are easily misapplied by other scientists to problems for which they are not well-suited. Finally, models constructed by one scientist are difficult for others to modify or extend to handle new types of problems. Construction of scientific models actually involves much more than the mechanics of building a single computational model. In the course of developing a model, a scientist will often test a candidate model against experimental data or against a priori expectations. Test results often lead to revisions of the model and a consequent need for additional testing. During a single model development session, a scientist typically examines a whole series of alternative models, each using different simplifying assumptions or modeling techniques. A useful scientific software design tool must support these aspects of the model development process as well. In particular, it should propose and carry out tests of candidate models. It should analyze test results and identify models and parts of models that must be changed. It should determine what types of changes can potentially cure a given negative test result. It should organize candidate models, test data, and test results into a coherent record of the development process. Finally, it should exploit the development record for two purposes: (1) automatically determining the applicability of a scientific model to a given problem; (2) supporting revision of a scientific model to handle a new type of problem. Existing knowledge-based software design tools must be extended in order to provide these facilities.

Deathcore, creativity, and scientific thinking

USGS Publications Warehouse

Angeler, David G.; Sundstrom, Shana M.; Allen, Craig R.

2016-01-01

BackgroundMajor scientific breakthroughs are generally the result of materializing creative ideas, the result of an inductive process that sometimes spontaneously and unexpectedly generates a link between thoughts and/or objects that did not exist before. Creativity is the cornerstone of scientific thinking, but scientists in academia are judged by metrics of quantification that often leave little room for creative thinking. In many scientific fields, reductionist approaches are rewarded and new ideas viewed skeptically. As a result, scientific inquiry is often confined to narrow but safe disciplinary ivory towers, effectively preventing profoundly creative explorations that could yield unexpected benefits.New informationThis paper argues how apparently unrelated fields specifically music and belief systems can be combined in a provocative allegory to provide novel perspectives regarding patterns in nature, thereby potentially inspiring innovation in the natural, social and other sciences. The merger between basic human tensions such as those embodied by religion and music, for example the heavy metal genre of deathcore, may be perceived as controversial, challenging, and uncomfortable. However, it is an example of moving the thinking process out of unconsciously established comfort zones, through the connection of apparently unrelated entities. We argue that music, as an auditory art form, has the potential to enlighten and boost creative thinking in science. Metal, as a fast evolving and diversifying extreme form of musical art, may be particularly suitable to trigger surprising associations in scientific inquiry. This may pave the way for dealing with questions about what we don´t know that we don´t know in a fast-changing planet.

Basic Blue Skies Research in the UK: Are we losing out?

PubMed Central

Linden, Belinda

2008-01-01

Background The term blue skies research implies a freedom to carry out flexible, curiosity-driven research that leads to outcomes not envisaged at the outset. This research often challenges accepted thinking and introduces new fields of study. Science policy in the UK has given growing support for short-term goal-oriented scientific research projects, with pressure being applied on researchers to demonstrate the future application of their work. These policies carry the risk of restricting freedom, curbing research direction, and stifling rather than stimulating the creativity needed for scientific discovery. Methods This study tracks the tortuous routes that led to three major discoveries in cardiology. It then investigates the constraints in current research, and opportunities that may be lost with existing funding processes, by interviewing selected scientists and fund providers for their views on curiosity-driven research and the freedom needed to allow science to flourish. The transcripts were analysed using a grounded theory approach to gather recurrent themes from the interviews. Results The results from these interviews suggest that scientists often cannot predict the future applications of research. Constraints such as lack of scientific freedom, and a narrow focus on relevance and accountability were believed to stifle the discovery process. Although it was acknowledged that some research projects do need a clear and measurable framework, the interviewees saw a need for inquisitive, blue skies research to be managed in a different way. They provided examples of situations where money allocated to 'safe' funding was used for more innovative research. Conclusion This sample of key UK scientists and grant providers acknowledge the importance of basic blue skies research. Yet the current evaluation process often requires that scientists predict their likely findings and estimate short-term impact, which does not permit freedom of research direction. There is a vital need for prominent scientists and for universities to help the media, the public, and policy makers to understand the importance of innovative thought along with the need for scientists to have the freedom to challenge accepted thinking. Encouraging an avenue for blue skies research could have immense influence over future scientific discoveries. PMID:18312612

Basic Blue Skies Research in the UK: Are we losing out?

PubMed

Linden, Belinda

2008-02-29

The term blue skies research implies a freedom to carry out flexible, curiosity-driven research that leads to outcomes not envisaged at the outset. This research often challenges accepted thinking and introduces new fields of study. Science policy in the UK has given growing support for short-term goal-oriented scientific research projects, with pressure being applied on researchers to demonstrate the future application of their work. These policies carry the risk of restricting freedom, curbing research direction, and stifling rather than stimulating the creativity needed for scientific discovery. This study tracks the tortuous routes that led to three major discoveries in cardiology. It then investigates the constraints in current research, and opportunities that may be lost with existing funding processes, by interviewing selected scientists and fund providers for their views on curiosity-driven research and the freedom needed to allow science to flourish. The transcripts were analysed using a grounded theory approach to gather recurrent themes from the interviews. The results from these interviews suggest that scientists often cannot predict the future applications of research. Constraints such as lack of scientific freedom, and a narrow focus on relevance and accountability were believed to stifle the discovery process. Although it was acknowledged that some research projects do need a clear and measurable framework, the interviewees saw a need for inquisitive, blue skies research to be managed in a different way. They provided examples of situations where money allocated to 'safe' funding was used for more innovative research. This sample of key UK scientists and grant providers acknowledge the importance of basic blue skies research. Yet the current evaluation process often requires that scientists predict their likely findings and estimate short-term impact, which does not permit freedom of research direction. There is a vital need for prominent scientists and for universities to help the media, the public, and policy makers to understand the importance of innovative thought along with the need for scientists to have the freedom to challenge accepted thinking. Encouraging an avenue for blue skies research could have immense influence over future scientific discoveries.

Citizen Science

NASA Technical Reports Server (NTRS)

Memarsadeghi, Nargess

2015-01-01

Scientists and engineers constantly face new challenges, despite myriad advances in computing. More sets of data are collected today from earth and sky than there is time or resources available to carefully analyze them. Some problems either don't have fast algorithms to solve them or have solutions that must be found among millions of options, a situation akin to finding a needle in a haystack. But all hope is not lost: advances in technology and the Internet have empowered the general public to participate in the scientific process via individual computational resources and brain cognition, which isn't matched by any machine. Citizen scientists are volunteers who perform scientific work by making observations, collecting and disseminating data, making measurements, and analyzing or interpreting data without necessarily having any scientific training. In so doing, individuals from all over the world can contribute to science in ways that wouldn't have been otherwise possible.

Introduction to Translation

PubMed Central

Polunovsky, Vitaly A.; Hershey, John W.B.; Sonenberg, Nahum

2013-01-01

We introduce here the inaugural issue of the new scientific journal Translation. The overarching aim of this endeavor is to establish a new forum for a broad spectrum of research in the area of protein synthesis in living systems ranging from structural biochemical, evolutionary and regulatory aspects of translation to the fundamental questions related to post-translational control of somatic phenomena in multicellular organisms including human behavior and health. The journal will publish high quality research articles, provide novel insights, ask provocative questions and discuss new hypothesis in this emerging field. Launching a new journal is always challenging. We hope that strong criteria for the peer-review process, transparency of the editorial policy and the scientific reputation of its founders, editors and editorial board assure the success of Translation; and we rely on continuing support of the scientific community in all aspects of the journal’s activity. PMID:26824021

Creating Constructive Dialogues Around Climate Change

NASA Astrophysics Data System (ADS)

Kiehl, J. T.

2014-12-01

Presenting scientific facts to the general public often creates strong emotional responses in listeners. This is especially the case around issues like climate change, in which strong resistance can arise in individuals and groups. This is an inherent psychological characteristic when conveying disturbing information to people. In this presentation, I will describe personal experiences of presenting climate change science in various public forums. In particular, I will describe two experiences: one in which I was able to effectively work with the emotional reactions to the scientific information and another in which the resistance was difficult to resolve within the group. Based on these experiences and others, I describe an innovative four-stage process for working with situations in which there is strong resistance to the science of climate change (or other challenging scientific issues). I conclude by discussing how this approach can be employed and potential pitfalls with such an approach.

PNNL Supports Hanford Waste Treatment

ScienceCinema

None

2018-04-16

For more than 40 years, technical assistance from PNNL has supported the operations and processing of Hanford tank waste. Our expertise in tank waste chemistry, fluid dynamics and scaling, waste forms, and safety bases has helped to shape the site’s waste treatment baseline and solve operational challenges. The historical knowledge and unique scientific and technical expertise at PNNL are essential to the success of the Hanford mission.

Clinical review: Thinking outside the box - an iconoclastic view of current practice

PubMed Central

2011-01-01

Many advances in medicine have been achieved through challenging established dogma with revolutionary thought and novel practices. Each and every specialty is reinvigorated by regular re-evaluation of processes and practices in the light of new evidence and fresh conceptualization. Challenge can galvanize fresh thinking and new approaches, yet may also reinforce and strengthen traditional paradigms if the prevailing orthodoxy is subsequently revalidated. This article is a synopsis of a roundtable meeting held in Brussels in March 2010 designed specifically to confront doctrine with reasoned scientific argument, and to propose new ideas for advancing critical care practices and outcomes. PMID:21888690

Future heliospheric missions from Russian perspective

NASA Astrophysics Data System (ADS)

Petrukovich, Anatoli; Izmodenov, Vladislav; Zelenyi, Lev; Kuzin, Sergey; Kuznetsov, Vladimir; Eismont, Natan

Structure and plasma processes of the heliosphere will be in the focus of attention for the next decade with the launch of Solar Orbiter, Solar Probe Plus, Interhelioprobe and SPORT, as well as the continuing flight of Voyagers and New Horizons. We review possible scientific goals and technical challenges for even more distant projects which are under discussion now. The projects include high-ecliptic observations with the help of solar sail, remote observations of heliospheric outer boundaries with interstellar medium as well as local high resolution turbulence studies. A major future challenge for the space weather research is the support for manned spaceflight beyond low Earth orbit.

Available Tools and Challenges Classifying Cutting-Edge and Historical Astronomical Documents

NASA Astrophysics Data System (ADS)

Lagerstrom, Jill

2015-08-01

The STScI Library assists the Science Policies Division in evaluating and choosing scientific keywords and categories for proposals for the Hubble Space Telescope mission and the upcoming James Webb Space Telescope mission. In addition we are often faced with the question “what is the shape of the astronomical literature?” However, subject classification in astronomy in recent times has not been cultivated. This talk will address the available tools and challenges of classifying cutting-edge as well as historical astronomical documents. In at the process, we will give an overview of current and upcoming practices of subject classification in astronomy.

Nonlinear response of mid-latitude weather to the changing Arctic

NASA Astrophysics Data System (ADS)

Overland, James E.; Dethloff, Klaus; Francis, Jennifer A.; Hall, Richard J.; Hanna, Edward; Kim, Seong-Joong; Screen, James A.; Shepherd, Theodore G.; Vihma, Timo

2016-11-01

Are continuing changes in the Arctic influencing wind patterns and the occurrence of extreme weather events in northern mid-latitudes? The chaotic nature of atmospheric circulation precludes easy answers. The topic is a major science challenge, as continued Arctic temperature increases are an inevitable aspect of anthropogenic climate change. We propose a perspective that rejects simple cause-and-effect pathways and notes diagnostic challenges in interpreting atmospheric dynamics. We present a way forward based on understanding multiple processes that lead to uncertainties in Arctic and mid-latitude weather and climate linkages. We emphasize community coordination for both scientific progress and communication to a broader public.

The role of architecture and ontology for interoperability.

PubMed

Blobel, Bernd; González, Carolina; Oemig, Frank; Lopéz, Diego; Nykänen, Pirkko; Ruotsalainen, Pekka

2010-01-01

Turning from organization-centric to process-controlled or even to personalized approaches, advanced healthcare settings have to meet special interoperability challenges. eHealth and pHealth solutions must assure interoperability between actors cooperating to achieve common business objectives. Hereby, the interoperability chain also includes individually tailored technical systems, but also sensors and actuators. For enabling corresponding pervasive computing and even autonomic computing, individualized systems have to be based on an architecture framework covering many domains, scientifically managed by specialized disciplines using their specific ontologies in a formalized way. Therefore, interoperability has to advance from a communication protocol to an architecture-centric approach mastering ontology coordination challenges.

Enabling Access to High-Resolution Lidar Topography for Earth Science Research

NASA Astrophysics Data System (ADS)

Crosby, Christopher; Nandigam, Viswanath; Arrowsmith, Ramon; Baru, Chaitan

2010-05-01

High-resolution topography data acquired with lidar (light detection and ranging a.k.a. laser scanning) technology are revolutionizing the way we study the geomorphic processes acting along the Earth's surface. These data, acquired from either an airborne platform or from a tripod-mounted scanner, are emerging as a fundamental tool for research on a variety of topics ranging from earthquake hazards to ice sheet dynamics. Lidar topography data allow earth scientists to study the processes that contribute to landscape evolution at resolutions not previously possible yet essential for their appropriate representation. These datasets also have significant implications for earth science education and outreach because they provide an accurate digital representation of landforms and geologic hazards. However, along with the potential of lidar topography comes an increase in the volume and complexity of data that must be efficiently managed, archived, distributed, processed and integrated in order for them to be of use to the community. A single lidar data acquisition may generate terabytes of data in the form of point clouds, digital elevation models (DEMs), and derivative imagery. This massive volume of data is often difficult to manage and poses significant distribution challenges when trying to allow access to the data for a large scientific user community. Furthermore, the datasets can be technically challenging to work with and may require specific software and computing resources that are not readily available to many users. The U.S. National Science Foundation (NSF)-funded OpenTopography Facility (http://www.opentopography.org) is an online data access and processing system designed to address the challenges posed by lidar data, and to democratize access to these data for the scientific user community. OpenTopography provides free, online access to lidar data in a number of forms, including raw lidar point cloud data, standard DEMs, and easily accessible Google Earth visualizations. OpenTopography uses cyberinfrastructure resources to allow users, regardless of their level of expertise, to access lidar data products that can be applied to their research. In addition to data access, the system uses customized algorithms and high-performance computing resources to allow users to perform on-the-fly data processing tasks such as the generation of custom DEMs. OpenTopography's primarily focus is on large, community-oriented, scientific data sets, such as those acquired by the NSF-funded EarthScope project. We are actively expanding our holdings through collaborations with researchers and data providers to include data from a wide variety of landscapes and geologic domains. Ultimately, the goal is for OpenTopography to be the primary clearing house for Earth science-oriented high-resolution topography. This presentation will provide an overview of the OpenTopography Facility, including available data, processing capabilities and resources, examples from scientific use cases, and a snapshot of system and data usage thus far. We will also discuss current development activities related to deploying high-performance algorithms for hydrologic processing of DEMs, geomorphic change detection analysis, and the incorporation of full waveform lidar data into the system.

Policy and science in children's health and environment: recommendations from the PINCHE project.

PubMed

van den Hazel, Peter; Zuurbier, Moniek; Bistrup, Marie Louise; Busby, Chris; Fucic, Aleksandra; Koppe, Janna G; Lundqvist, Christofer; Ronchetti, Roberto; ten Tusscher, Gavin

2006-10-01

Policy recommendations result from the discussions and analysis of the present situation in environment and health. Such analysis was performed in PINCHE. This led to recommendations based on the scientific literature. In the field of children's environmental health the policy process will follow more or less fixed rules, but this process is still at an early level of development. The link between science and policy still faces many challenges. Scientific assessment of environmental risk must recognize and tackle the problems of data sets, variability of human and environmental systems, the range, spatial and temporal diffusion of potential health effects and many biases and confounding factors. The PINCHE network recommends a general improvement of the supporting scientific fields in environment and health. Assessments from epidemiology or toxicology should play a key role in influencing science-policy decisions in programmes that are intended to inform the public policy process. Scientific committees at a local level could play a role. The relation between health and environment needs to be better incorporated in training and education. There is a need for harmonization of data production and use. The priorities in PINCHE focus on the most important issues. A classification of low, medium or high priority for action was used to describe a range of different environmental stressors. PINCHE provided recommendations to reduce exposure for children. Exposure reduction is not always linked to improved health in the short term, but it will reduce the body burden of accumulating chemicals in children. A strategic choice is reduction of exposure of children to compounds by changing production techniques or by increasing the distance of child specific settings to sources. The contribution of all players in the production, distribution and use of scientific knowledge in the field of children's environmental health is necessary.

The Sun to the Earth - and Beyond: A Decadal Research Strategy in Solar and Space Physics

NASA Technical Reports Server (NTRS)

2003-01-01

The sun is the source of energy for life on earth and is the strongest modulator of the human physical environment. In fact, the Sun's influence extends throughout the solar system, both through photons, which provide heat, light, and ionization, and through the continuous outflow of a magnetized, supersonic ionized gas known as the solar wind. While the accomplishments of the past decade have answered important questions about the physics of the Sun, the interplanetary medium, and the space environments of Earth and other solar system bodies, they have also highlighted other questions, some of which are long-standing and fundamental. The Sun to the Earth--and Beyond organizes these questions in terms of five challenges that are expected to be the focus of scientific investigations in solar and space physics during the coming decade and beyond. While the accomplishments of the past decades have answered important questions about the physics of the Sun, the interplanetary medium, and the space environments of Earth and other solar system bodies, they have also highlighted other questions, some of which are long-standing and fundamental. This report organizes these questions in terms of five challenges that are expected to be the focus of scientific investigations in solar and space physics during the coming decade and beyond: Challenge 1: Understanding the structure and dynamics of the Sun's interior, the generation of solar magnetic fields, the origin of the solar cycle, the causes of solar activity, and the structure and dynamics of the corona. Challenge 2: Understanding heliospheric structure, the distribution of magnetic fields and matter throughout the solar system, and the interaction of the solar atmosphere with the local interstellar medium. Challenge 3: Understanding the space environments of Earth and other solar system bodies and their dynamical response to external and internal influences. Challenge 4: Understanding the basic physical principles manifest in processes observed in solar and space plasmas. Challenge 5: Developing a near-real-time predictive capability for understanding and quantifying the impact on human activities of dynamical processes at the Sun, in the interplanetary medium, and in Earth's magnetosphere and ionosphere. This report summarizes the state of knowledge about the total heliospheric system, poses key scientific questions for further research, and presents an integrated research strategy, with prioritized initiatives, for the next decade. The recommended strategy embraces both basic research programs and targeted basic research activities that will enhance knowledge and prediction of space weather effects on Earth. The report emphasizes the importance of understanding the Sun, the heliosphere, and planetary magnetospheres and ionospheres as astrophysical objects and as laboratories for the investigation of fundamental plasma physics phenomena.

Facilitating hydrological data analysis workflows in R: the RHydro package

NASA Astrophysics Data System (ADS)

Buytaert, Wouter; Moulds, Simon; Skoien, Jon; Pebesma, Edzer; Reusser, Dominik

2015-04-01

The advent of new technologies such as web-services and big data analytics holds great promise for hydrological data analysis and simulation. Driven by the need for better water management tools, it allows for the construction of much more complex workflows, that integrate more and potentially more heterogeneous data sources with longer tool chains of algorithms and models. With the scientific challenge of designing the most adequate processing workflow comes the technical challenge of implementing the workflow with a minimal risk for errors. A wide variety of new workbench technologies and other data handling systems are being developed. At the same time, the functionality of available data processing languages such as R and Python is increasing at an accelerating pace. Because of the large diversity of scientific questions and simulation needs in hydrology, it is unlikely that one single optimal method for constructing hydrological data analysis workflows will emerge. Nevertheless, languages such as R and Python are quickly gaining popularity because they combine a wide array of functionality with high flexibility and versatility. The object-oriented nature of high-level data processing languages makes them particularly suited for the handling of complex and potentially large datasets. In this paper, we explore how handling and processing of hydrological data in R can be facilitated further by designing and implementing a set of relevant classes and methods in the experimental R package RHydro. We build upon existing efforts such as the sp and raster packages for spatial data and the spacetime package for spatiotemporal data to define classes for hydrological data (HydroST). In order to handle simulation data from hydrological models conveniently, a HM class is defined. Relevant methods are implemented to allow for an optimal integration of the HM class with existing model fitting and simulation functionality in R. Lastly, we discuss some of the design challenges of the RHydro package, including integration with big data technologies, web technologies, and emerging data models in hydrology.

Incorporating inquiry and the process of science into introductory astronomy labs at the George Washington University

NASA Astrophysics Data System (ADS)

Cobb, Bethany E.

2018-01-01

Since 2013, the Physics Department at GWU has used student-centered active learning in the introductory astronomy course “Introduction to the Cosmos.” Class time is spent in groups on questions, math problems, and hands-on activities, with multiple instructors circulating to answer questions and engage with the students. The students have responded positively to this active-learning. Unfortunately, in transitioning to active-learning there was no time to rewrite the labs. Very quickly, the contrast between the dynamic classroom and the traditional labs became apparent. The labs were almost uniformly “cookie-cutter” in that the procedure and analysis were specified step-by-step and there was just one right answer. Students rightly criticized the labs for lacking a clear purpose and including busy-work. Furthermore, this class fulfills the GWU scientific reasoning general education requirement and thus includes learning objectives related to understanding the scientific method, testing hypotheses with data, and considering uncertainty – but the traditional labs did not require these skills. I set out to rejuvenate the lab sequence by writing new inquiry labs based on both topic-specific and scientific reasoning learning objectives. While inquiry labs can be challenging for the students, as they require active thinking and creativity, these labs engage the students more thoroughly in the scientific process. In these new labs, whenever possible, I include real astronomical data and ask the students to use digital tools (SDSS SkyServer, SOHO archive) as if they are real astronomers. To allow students to easily plot, manipulate and analyze data, I built “smart” Excel files using formulas, dropdown menus and macros. The labs are now much more authentic and thought-provoking. Whenever possible, students independently develop questions, hypotheses, and procedures and the scientific method is “scaffolded” over the semester by providing more guidance in the early labs and more independence later on. Finally, in every lab, students must identify and reflect on sources of error. These labs are more challenging for the instructors to run and to grade, but they are much more satisfying when it comes to student learning.

The computational challenges of Earth-system science.

PubMed

O'Neill, Alan; Steenman-Clark, Lois

2002-06-15

The Earth system--comprising atmosphere, ocean, land, cryosphere and biosphere--is an immensely complex system, involving processes and interactions on a wide range of space- and time-scales. To understand and predict the evolution of the Earth system is one of the greatest challenges of modern science, with success likely to bring enormous societal benefits. High-performance computing, along with the wealth of new observational data, is revolutionizing our ability to simulate the Earth system with computer models that link the different components of the system together. There are, however, considerable scientific and technical challenges to be overcome. This paper will consider four of them: complexity, spatial resolution, inherent uncertainty and time-scales. Meeting these challenges requires a significant increase in the power of high-performance computers. The benefits of being able to make reliable predictions about the evolution of the Earth system should, on their own, amply repay this investment.

EarthCube Activities: Community Engagement Advancing Geoscience Research

NASA Astrophysics Data System (ADS)

Kinkade, D.

2015-12-01

Our ability to advance scientific research in order to better understand complex Earth systems, address emerging geoscience problems, and meet societal challenges is increasingly dependent upon the concept of Open Science and Data. Although these terms are relatively new to the world of research, Open Science and Data in this context may be described as transparency in the scientific process. This includes the discoverability, public accessibility and reusability of scientific data, as well as accessibility and transparency of scientific communication (www.openscience.org). Scientists and the US government alike are realizing the critical need for easy discovery and access to multidisciplinary data to advance research in the geosciences. The NSF-supported EarthCube project was created to meet this need. EarthCube is developing a community-driven common cyberinfrastructure for the purpose of accessing, integrating, analyzing, sharing and visualizing all forms of data and related resources through advanced technological and computational capabilities. Engaging the geoscience community in EarthCube's development is crucial to its success, and EarthCube is providing several opportunities for geoscience involvement. This presentation will provide an overview of the activities EarthCube is employing to entrain the community in the development process, from governance development and strategic planning, to technical needs gathering. Particular focus will be given to the collection of science-driven use cases as a means of capturing scientific and technical requirements. Such activities inform the development of key technical and computational components that collectively will form a cyberinfrastructure to meet the research needs of the geoscience community.

Representation and Re-Presentation in Litigation Science

PubMed Central

Jasanoff, Sheila

2008-01-01

Federal appellate courts have devised several criteria to help judges distinguish between reliable and unreliable scientific evidence. The best known are the U.S. Supreme Court’s criteria offered in 1993 in Daubert v. Merrell Dow Pharmaceuticals, Inc. This article focuses on another criterion, offered by the Ninth Circuit Court of Appeals, that instructs judges to assign lower credibility to “litigation science” than to science generated before litigation. In this article I argue that the criterion-based approach to judicial screening of scientific evidence is deeply flawed. That approach buys into the faulty premise that there are external criteria, lying outside the legal process, by which judges can distinguish between good and bad science. It erroneously assumes that judges can ascertain the appropriate criteria and objectively apply them to challenged evidence before litigation unfolds, and before methodological disputes are sorted out during that process. Judicial screening does not take into account the dynamics of litigation itself, including gaming by the parties and framing by judges, as constitutive factors in the production and representation of knowledge. What is admitted through judicial screening, in other words, is not precisely what a jury would see anyway. Courts are sites of repeated re-representations of scientific knowledge. In sum, the screening approach fails to take account of the wealth of existing scholarship on the production and validation of scientific facts. An unreflective application of that approach thus puts courts at risk of relying upon a “junk science” of the nature of scientific knowledge. PMID:18197311

Representation and re-presentation in litigation science.

PubMed

Jasanoff, Sheila

2008-01-01

Federal appellate courts have devised several criteria to help judges distinguish between reliable and unreliable scientific evidence. The best known are the U.S. Supreme Court's criteria offered in 1993 in Daubert v. Merrell Dow Pharmaceuticals, Inc. This article focuses on another criterion, offered by the Ninth Circuit Court of Appeals, that instructs judges to assign lower credibility to "litigation science" than to science generated before litigation. In this article I argue that the criterion-based approach to judicial screening of scientific evidence is deeply flawed. That approach buys into the faulty premise that there are external criteria, lying outside the legal process, by which judges can distinguish between good and bad science. It erroneously assumes that judges can ascertain the appropriate criteria and objectively apply them to challenged evidence before litigation unfolds, and before methodological disputes are sorted out during that process. Judicial screening does not take into account the dynamics of litigation itself, including gaming by the parties and framing by judges, as constitutive factors in the production and representation of knowledge. What is admitted through judicial screening, in other words, is not precisely what a jury would see anyway. Courts are sites of repeated re-representations of scientific knowledge. In sum, the screening approach fails to take account of the wealth of existing scholarship on the production and validation of scientific facts. An unreflective application of that approach thus puts courts at risk of relying upon a "junk science" of the nature of scientific knowledge.

A 3D bioprinting exemplar of the consequences of the regulatory requirements on customized processes.

PubMed

Hourd, Paul; Medcalf, Nicholas; Segal, Joel; Williams, David J

2015-01-01

Computer-aided 3D printing approaches to the industrial production of customized 3D functional living constructs for restoration of tissue and organ function face significant regulatory challenges. Using the manufacture of a customized, 3D-bioprinted nasal implant as a well-informed but hypothetical exemplar, we examine how these products might be regulated. Existing EU and USA regulatory frameworks do not account for the differences between 3D printing and conventional manufacturing methods or the ability to create individual customized products using mechanized rather than craft approaches. Already subject to extensive regulatory control, issues related to control of the computer-aided design to manufacture process and the associated software system chain present additional scientific and regulatory challenges for manufacturers of these complex 3D-bioprinted advanced combination products.

Big data challenges for large radio arrays

NASA Astrophysics Data System (ADS)

Jones, D. L.; Wagstaff, K.; Thompson, D. R.; D'Addario, L.; Navarro, R.; Mattmann, C.; Majid, W.; Lazio, J.; Preston, J.; Rebbapragada, U.

2012-03-01

Future large radio astronomy arrays, particularly the Square Kilometre Array (SKA), will be able to generate data at rates far higher than can be analyzed or stored affordably with current practices. This is, by definition, a "big data" problem, and requires an end-to-end solution if future radio arrays are to reach their full scientific potential. Similar data processing, transport, storage, and management challenges face next-generation facilities in many other fields. The Jet Propulsion Laboratory is developing technologies to address big data issues, with an emphasis in three areas: 1) Lower-power digital processing architectures to make highvolume data generation operationally affordable, 2) Date-adaptive machine learning algorithms for real-time analysis (or "data triage") of large data volumes, and 3) Scalable data archive systems that allow efficient data mining and remote user code to run locally where the data are stored.

W.E.B. DuBois's Challenge to Scientific Racism.

ERIC Educational Resources Information Center

Taylor, Carol M.

1981-01-01

Proposes that a direct and authoritative challenge to the scientific racism of the late eighteenth and early twentieth centuries was urgently needed, and was one of the leading rhetorical contributions of W.E.B. DuBois. Specifically examines three issues: social Darwinism, the eugenics movement, and psychologists' measurement of intelligence.…

Queering Methodologies: Challenging Scientific Constraint in the Appreciation of Queer and Trans Subjects

ERIC Educational Resources Information Center

Ferguson, Joshua M.

2013-01-01

Qualitative studies require a queer perspective to challenge stagnant forms of scientific discourse. This paper argues for a deconstruction of hegemonic qualitative practices in order to appreciate and listen to queer and trans subjects when employing qualitative research and methodologies. I focus on qualitative methods from an audiovisual…

Regional assessments of stream ecological condition: Scientific challenges associated with the USA's national Wadeable Stream Assessment

EPA Science Inventory

In this special issue of J-NABS, we have compiled a series of papers that describe some of the major scientific challenges that were encountered during the national Wadeable Streams Assessment (WSA) and some of the lessons learned subsequent to the assessment. Our goal in produc...

The Challenges of Scientific Literacy: From the Viewpoint of Second-Generation Cognitive Science

ERIC Educational Resources Information Center

Klein, Perry D.

2006-01-01

Recent trends in cognitive science have not made scientific literacy easier to attain, but they have made the practices through which educators meet its challenges more interpretable. Traditionally, cognitive scientists viewed knowledge as a set of propositions comprised of classical concepts, thought as logical inference and language as a literal…

A Resource Guide for Environmental and Marine Science Teachers. Bulletin 1833.

ERIC Educational Resources Information Center

Barr, James E.; Sikora, Jean Pantell

Due to the dynamic nature of science, and particularly scientific issues concerning the environment, it is a challenge to find materials for up-to-date lessons on these subjects. This publication helps teachers meet the challenge of emphasizing scientific principles and the natural functioning of the environment. Provided are a varied and…

Science Education and Challenges of Globalization in Igbo Nation

ERIC Educational Resources Information Center

Ezeudu, F. O.; Nkokelonye, C. U.; Adigwe, J. C.

2013-01-01

This paper reviewed the scientific contents in Igbo culture. Description of the Igbos who constitutes an ethnic group occupying southeastern Nigeria was made. It x-rayed the pre-colonial, colonial, and post-colonial culture of Igbo people and identified the scientific cultural activities, which can be harnessed to meet the challenges of modern day…

Accelerating scientific discovery : 2007 annual report.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Beckman, P.; Dave, P.; Drugan, C.

2008-11-14

As a gateway for scientific discovery, the Argonne Leadership Computing Facility (ALCF) works hand in hand with the world's best computational scientists to advance research in a diverse span of scientific domains, ranging from chemistry, applied mathematics, and materials science to engineering physics and life sciences. Sponsored by the U.S. Department of Energy's (DOE) Office of Science, researchers are using the IBM Blue Gene/L supercomputer at the ALCF to study and explore key scientific problems that underlie important challenges facing our society. For instance, a research team at the University of California-San Diego/ SDSC is studying the molecular basis ofmore » Parkinson's disease. The researchers plan to use the knowledge they gain to discover new drugs to treat the disease and to identify risk factors for other diseases that are equally prevalent. Likewise, scientists from Pratt & Whitney are using the Blue Gene to understand the complex processes within aircraft engines. Expanding our understanding of jet engine combustors is the secret to improved fuel efficiency and reduced emissions. Lessons learned from the scientific simulations of jet engine combustors have already led Pratt & Whitney to newer designs with unprecedented reductions in emissions, noise, and cost of ownership. ALCF staff members provide in-depth expertise and assistance to those using the Blue Gene/L and optimizing user applications. Both the Catalyst and Applications Performance Engineering and Data Analytics (APEDA) teams support the users projects. In addition to working with scientists running experiments on the Blue Gene/L, we have become a nexus for the broader global community. In partnership with the Mathematics and Computer Science Division at Argonne National Laboratory, we have created an environment where the world's most challenging computational science problems can be addressed. Our expertise in high-end scientific computing enables us to provide guidance for applications that are transitioning to petascale as well as to produce software that facilitates their development, such as the MPICH library, which provides a portable and efficient implementation of the MPI standard--the prevalent programming model for large-scale scientific applications--and the PETSc toolkit that provides a programming paradigm that eases the development of many scientific applications on high-end computers.« less

Major Challenges for the Modern Chemistry in Particular and Science in General.

PubMed

Uskokovíc, Vuk

2010-11-01

In the past few hundred years, science has exerted an enormous influence on the way the world appears to human observers. Despite phenomenal accomplishments of science, science nowadays faces numerous challenges that threaten its continued success. As scientific inventions become embedded within human societies, the challenges are further multiplied. In this critical review, some of the critical challenges for the field of modern chemistry are discussed, including: (a) interlinking theoretical knowledge and experimental approaches; (b) implementing the principles of sustainability at the roots of the chemical design; (c) defining science from a philosophical perspective that acknowledges both pragmatic and realistic aspects thereof; (d) instigating interdisciplinary research; (e) learning to recognize and appreciate the aesthetic aspects of scientific knowledge and methodology, and promote truly inspiring education in chemistry. In the conclusion, I recapitulate that the evolution of human knowledge inherently depends upon our ability to adopt creative problem-solving attitudes, and that challenges will always be present within the scope of scientific interests.

Major Challenges for the Modern Chemistry in Particular and Science in General

PubMed Central

Uskokovíc, Vuk

2013-01-01

In the past few hundred years, science has exerted an enormous influence on the way the world appears to human observers. Despite phenomenal accomplishments of science, science nowadays faces numerous challenges that threaten its continued success. As scientific inventions become embedded within human societies, the challenges are further multiplied. In this critical review, some of the critical challenges for the field of modern chemistry are discussed, including: (a) interlinking theoretical knowledge and experimental approaches; (b) implementing the principles of sustainability at the roots of the chemical design; (c) defining science from a philosophical perspective that acknowledges both pragmatic and realistic aspects thereof; (d) instigating interdisciplinary research; (e) learning to recognize and appreciate the aesthetic aspects of scientific knowledge and methodology, and promote truly inspiring education in chemistry. In the conclusion, I recapitulate that the evolution of human knowledge inherently depends upon our ability to adopt creative problem-solving attitudes, and that challenges will always be present within the scope of scientific interests. PMID:24465151

Disaggregating asthma: Big investigation versus big data.

PubMed

Belgrave, Danielle; Henderson, John; Simpson, Angela; Buchan, Iain; Bishop, Christopher; Custovic, Adnan

2017-02-01

We are facing a major challenge in bridging the gap between identifying subtypes of asthma to understand causal mechanisms and translating this knowledge into personalized prevention and management strategies. In recent years, "big data" has been sold as a panacea for generating hypotheses and driving new frontiers of health care; the idea that the data must and will speak for themselves is fast becoming a new dogma. One of the dangers of ready accessibility of health care data and computational tools for data analysis is that the process of data mining can become uncoupled from the scientific process of clinical interpretation, understanding the provenance of the data, and external validation. Although advances in computational methods can be valuable for using unexpected structure in data to generate hypotheses, there remains a need for testing hypotheses and interpreting results with scientific rigor. We argue for combining data- and hypothesis-driven methods in a careful synergy, and the importance of carefully characterized birth and patient cohorts with genetic, phenotypic, biological, and molecular data in this process cannot be overemphasized. The main challenge on the road ahead is to harness bigger health care data in ways that produce meaningful clinical interpretation and to translate this into better diagnoses and properly personalized prevention and treatment plans. There is a pressing need for cross-disciplinary research with an integrative approach to data science, whereby basic scientists, clinicians, data analysts, and epidemiologists work together to understand the heterogeneity of asthma. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Success matters: Recasting the relationship among geophysical, biological, and behavioral scientists to support decision making on major environmental challenges

NASA Astrophysics Data System (ADS)

Knopman, Debra S.

2006-03-01

Coping with global change, providing clean water for growing populations, and disposing of nuclear waste are some of the most difficult public policy challenges of our time. Unknowns in the physical sciences are one source of the difficulty. Real difficulties in meeting these challenges also arise in the behavioral sciences. A potentially rich vein of transdisciplinary research is to integrate the psychology of decision making, known as "judgment and decision making," or JDM, with the development of technical information and decision support tools for complex, long-term environmental problems. Practitioners of JDM conduct research on how individuals and groups respond to uncertainty and ambiguity, hedge against risks, anchor decisions to the status quo, compare relative risks and rewards of alternative strategies, and cope with other classes of decisions. Practitioners use a variety of stimuli, chance devices, hypothetical and real choices involving small stakes, scenarios, and questionnaires to measure (directly and indirectly) preferences under varying conditions. These kinds of experiments can help guide choices about the level of complexity required for different types of decision-making processes, the value of new data collection efforts, and the ways in which uncertainty in model outcomes can be cast to minimize decision-making paralysis. They can also provide a scientific basis for interacting with decision makers throughout the model development process, designing better ways of eliciting and combining opinions and of communicating information relevant to public policy issues with the goal of improving the value of the scientific contribution to the social decision.

Prescriptive scientific narratives for communicating usable science.

PubMed

Downs, Julie S

2014-09-16

In this paper I describe how a narrative approach to science communication may help audiences to more fully understand how science is relevant to their own lives and behaviors. The use of prescriptive scientific narrative can help to overcome challenges specific to scientific concepts, especially the need to reconsider long-held beliefs in the face of new empirical findings. Narrative can captivate the audience, driving anticipation for plot resolution, thus becoming a self-motivating vehicle for information delivery. This quality gives narrative considerable power to explain complex phenomena and causal processes, and to create and reinforce memory traces for better recall and application over time. Because of the inherent properties of narrative communication, their creators have a special responsibility to ensure even-handedness in selection and presentation of the scientific evidence. The recent transformation in communication and information technology has brought about new platforms for delivering content, particularly through interactivity, which can use structured self-tailoring to help individuals most efficiently get exactly the content that they need. As with all educational efforts, prescriptive scientific narratives must be evaluated systematically to determine whether they have the desired effects in improving understanding and changing behavior.

The hospital and the hospital: Infrastructure, human tissue, labour and the scientific production of relational value.

PubMed

Street, Alice

2016-12-01

How does science make a home for itself in a public hospital? This article explores how scientists working in 'resource poor' contexts of global health negotiate relationships with their hosts, in this case the doctors, nurses and patients who already inhabit a provincial-level hospital. Taking its lead from recent works on science, ethics and development, this article seeks to 'provincialize the laboratory' by focussing on the scientific tropics as a space of productive encounter and engagement. A view from the hospital reveals the tenuous process of 'setting up' a place for science, in a world that does not immediately recognize its value. The article examines the material exchanges of infrastructure, bodily tissues and labour that enable one young scientist to establish a scientific life for himself. The success of those transactions, it argues, ultimately derives from their objectification of scientific vulnerability and their enactment of relationships of mutual recognition. As opposed to asking how scientific knowledge is produced in the tropics, the view from the hospital challenges us to focus on the establishment of relationships between scientists and their hosts as a productive endeavour in its own right.

Prescriptive scientific narratives for communicating usable science

PubMed Central

Downs, Julie S.

2014-01-01

In this paper I describe how a narrative approach to science communication may help audiences to more fully understand how science is relevant to their own lives and behaviors. The use of prescriptive scientific narrative can help to overcome challenges specific to scientific concepts, especially the need to reconsider long-held beliefs in the face of new empirical findings. Narrative can captivate the audience, driving anticipation for plot resolution, thus becoming a self-motivating vehicle for information delivery. This quality gives narrative considerable power to explain complex phenomena and causal processes, and to create and reinforce memory traces for better recall and application over time. Because of the inherent properties of narrative communication, their creators have a special responsibility to ensure even-handedness in selection and presentation of the scientific evidence. The recent transformation in communication and information technology has brought about new platforms for delivering content, particularly through interactivity, which can use structured self-tailoring to help individuals most efficiently get exactly the content that they need. As with all educational efforts, prescriptive scientific narratives must be evaluated systematically to determine whether they have the desired effects in improving understanding and changing behavior. PMID:25225369

Laboratory Directed Research and Development Program FY98

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hansen, T.; Chartock, M.

1999-02-05

The Ernest Orlando Lawrence Berkeley National Laboratory (LBNL or Berkeley Lab) Laboratory Directed Research and Development Program FY 1998 report is compiled from annual reports submitted by principal investigators following the close of the fiscal year. This report describes the supported projects and summarizes their accomplishments. It constitutes a part of the Laboratory Directed Research and Development (LDRD) program planning and documentation process that includes an annual planning cycle, projection selection, implementation, and review. The LBNL LDRD program is a critical tool for directing the Laboratory's forefront scientific research capabilities toward vital, excellent, and emerging scientific challenges. The program providesmore » the resources for LBNL scientists to make rapid and significant contributions to critical national science and technology problems. The LDRD program also advances LBNL's core competencies, foundations, and scientific capability, and permits exploration of exciting new opportunities. All projects are work in forefront areas of science and technology. Areas eligible for support include the following: Advanced study of hypotheses, concepts, or innovative approaches to scientific or technical problems; Experiments and analyses directed toward ''proof of principle'' or early determination of the utility of new scientific ideas, technical concepts, or devices; and Conception and preliminary technical analyses of experimental facilities or devices.« less

Application of Ensemble Detection and Analysis to Modeling Uncertainty in Non Stationary Process

NASA Technical Reports Server (NTRS)

Racette, Paul

2010-01-01

Characterization of non stationary and nonlinear processes is a challenge in many engineering and scientific disciplines. Climate change modeling and projection, retrieving information from Doppler measurements of hydrometeors, and modeling calibration architectures and algorithms in microwave radiometers are example applications that can benefit from improvements in the modeling and analysis of non stationary processes. Analyses of measured signals have traditionally been limited to a single measurement series. Ensemble Detection is a technique whereby mixing calibrated noise produces an ensemble measurement set. The collection of ensemble data sets enables new methods for analyzing random signals and offers powerful new approaches to studying and analyzing non stationary processes. Derived information contained in the dynamic stochastic moments of a process will enable many novel applications.

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science

PubMed Central

Kumar, Vipin

2014-01-01

Abstract Global climate change and its impact on human life has become one of our era's greatest challenges. Despite the urgency, data science has had little impact on furthering our understanding of our planet in spite of the abundance of climate data. This is a stark contrast from other fields such as advertising or electronic commerce where big data has been a great success story. This discrepancy stems from the complex nature of climate data as well as the scientific questions climate science brings forth. This article introduces a data science audience to the challenges and opportunities to mine large climate datasets, with an emphasis on the nuanced difference between mining climate data and traditional big data approaches. We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications. More importantly, we highlight research showing that solely relying on traditional big data techniques results in dubious findings, and we instead propose a theory-guided data science paradigm that uses scientific theory to constrain both the big data techniques as well as the results-interpretation process to extract accurate insight from large climate data. PMID:25276499

Data Citation Impediments: Human and Institutional Inertia

NASA Astrophysics Data System (ADS)

Mayernik, M. S.

2013-12-01

Data citations are growing in visibility in scientific and public policy circles. Data citations directly link scholarship and data, and as such provide a mechanism through which data can be discovered and accessed, scholarly use of data can be tracked, and the impact of data facilities can be identified. The interest in data citations is coming from many research stakeholders, including funders, policy makers, professional societies and their publication entities, research organizations, and individual researchers. Most of the efforts to date around data citations have focused on the challenges of assigning unique identifiers to digital data sets. While these challenges are significant, an additional challenge has gone relatively unaddressed, namely, the fact that data citation is not a common practice within scientific communities. This presentation will present findings from an interview study within the University Corporation for Atmospheric Research / National Center for Atmospheric Research (UCAR/NCAR). Through interviews with 14 scientists and engineers, we have found that there is little evidence that data citations have gained momentum as a common practice. Currently, data users acknowledge their use of particular data sets in either the research methods or acknowledgements sections of their papers, not as formal citations in a paper's bibliography. Data users are often 1) unaware that they can and should cite data sets, 2) unsure of how to cite data sets, and 3) lacking career motivations to forward data citations as a common activity. Data citation initiatives will have minimal impact on the scientific community if they do not address this practical inertia. Data users are a critical stakeholder in the data citation process. Their voice needs to be central to the data citation discussion. We will discuss how outreach efforts need to focus on raising the profile of data citations by informing scientists and administrators, being proactive in providing data users with recommended citations, and embedding data citations within larger scientific research institutions like academic tenure and scholarly peer review.

Two Challenges to Communicating Climate Science

NASA Astrophysics Data System (ADS)

Oreskes, N.; Evans, J. H.; Feng, J.

2011-12-01

Climate scientists have been frustrated by the persistence of public opinion at odds with established scientific evidence about anthropogenic climate change. Traditionally, scientists have attributed the gap between scientific knowledge and public perception to scientific illiteracy, which could be remedied by a better and more abundant supply of well-communicated scientific information. Social scientific research, however, illustrates that this "deficit model" is insufficient to explain the current state of affairs: many individuals who reject the conclusions of climate scientists are highly educated, and some evidence suggests that, among certain demographics, more educated people are more likely than less educated ones to reject climate science. This talk explores two possible sources of resistance to, or outright rejection of, scientific conclusions about climate change: 1) the effects of long-standing organized efforts to challenge climate science and the credibility of climate scientists; 2) conservative Protestant religious beliefs concerning how factual claims about the earth are determined and how their significance is judged.

Think Locally, Act Globally! Linking Local and Global Communities through Democracy and Environment. Hands-On! Developing Active Learning Modules on the Human Dimensions of Global Change.

ERIC Educational Resources Information Center

Dowler, Lorraine

Designed so that it can be adapted to a wide range of student abilities and institutional settings, this learning module on the human dimensions of global change seeks to: actively engage students in problem solving, challenge them to think critically, invite them to participate in the process of scientific inquiry, and involve them in cooperative…

Big, Deep, and Smart Data in Scanning Probe Microscopy

DOE PAGES

Kalinin, Sergei V.; Strelcov, Evgheni; Belianinov, Alex; ...

2016-09-27

Scanning probe microscopy techniques open the door to nanoscience and nanotechnology by enabling imaging and manipulation of structure and functionality of matter on nanometer and atomic scales. We analyze the discovery process by SPM in terms of information flow from tip-surface junction to the knowledge adoption by scientific community. Furthermore, we discuss the challenges and opportunities offered by merging of SPM and advanced data mining, visual analytics, and knowledge discovery technologies.

Myc

PubMed Central

Wasylishen, Amanda R.; Penn, Linda Z.

2010-01-01

The iconic history of the Myc oncoprotein encompasses 3 decades of intense scientific discovery. There is no question that Myc has been a pioneer, advancing insight into the molecular basis of cancer as well as functioning as a critical control center for several diverse biological processes and regulatory mechanisms. This narrative chronicles the journey and milestones that have defined the understanding of Myc, and it provides an opportunity to consider future directions in this challenging yet rewarding field. PMID:21779457

Student-Centered and Dynamic Interfaces that Enrich Technical Learning for Online Science Learners: A Review of the Literature

ERIC Educational Resources Information Center

Killian, Susan A.; Beck, Dennis E.; O'Bryan, Corliss A.; Jarvis, Nathan; Clausen, Edgar C.; Crandall, Philip G.

2014-01-01

Communicating complex scientific and technical information presents a challenge for food science educators. The most efficient learning occurs when all senses are engaged, one reason that many educators believe that scientific principles are best taught with hands-on laboratory experiences. Today there are many challenges to the continuation of…

MSL: Facilitating automatic and physical analysis of published scientific literature in PDF format.

PubMed

Ahmed, Zeeshan; Dandekar, Thomas

2015-01-01

Published scientific literature contains millions of figures, including information about the results obtained from different scientific experiments e.g. PCR-ELISA data, microarray analysis, gel electrophoresis, mass spectrometry data, DNA/RNA sequencing, diagnostic imaging (CT/MRI and ultrasound scans), and medicinal imaging like electroencephalography (EEG), magnetoencephalography (MEG), echocardiography  (ECG), positron-emission tomography (PET) images. The importance of biomedical figures has been widely recognized in scientific and medicine communities, as they play a vital role in providing major original data, experimental and computational results in concise form. One major challenge for implementing a system for scientific literature analysis is extracting and analyzing text and figures from published PDF files by physical and logical document analysis. Here we present a product line architecture based bioinformatics tool 'Mining Scientific Literature (MSL)', which supports the extraction of text and images by interpreting all kinds of published PDF files using advanced data mining and image processing techniques. It provides modules for the marginalization of extracted text based on different coordinates and keywords, visualization of extracted figures and extraction of embedded text from all kinds of biological and biomedical figures using applied Optimal Character Recognition (OCR). Moreover, for further analysis and usage, it generates the system's output in different formats including text, PDF, XML and images files. Hence, MSL is an easy to install and use analysis tool to interpret published scientific literature in PDF format.

Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data.

PubMed

Dinov, Ivo D

2016-01-01

Managing, processing and understanding big healthcare data is challenging, costly and demanding. Without a robust fundamental theory for representation, analysis and inference, a roadmap for uniform handling and analyzing of such complex data remains elusive. In this article, we outline various big data challenges, opportunities, modeling methods and software techniques for blending complex healthcare data, advanced analytic tools, and distributed scientific computing. Using imaging, genetic and healthcare data we provide examples of processing heterogeneous datasets using distributed cloud services, automated and semi-automated classification techniques, and open-science protocols. Despite substantial advances, new innovative technologies need to be developed that enhance, scale and optimize the management and processing of large, complex and heterogeneous data. Stakeholder investments in data acquisition, research and development, computational infrastructure and education will be critical to realize the huge potential of big data, to reap the expected information benefits and to build lasting knowledge assets. Multi-faceted proprietary, open-source, and community developments will be essential to enable broad, reliable, sustainable and efficient data-driven discovery and analytics. Big data will affect every sector of the economy and their hallmark will be 'team science'.

SIMBIOS Project 1999 Annual Report

NASA Technical Reports Server (NTRS)

McClain, Charles R.; Fargion, Giulietta S.

1999-01-01

The purpose of this technical memorandum is to provide current documentation of the Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Project activities, NASA Research Announcement (NRA) research status, satellite data processing, data product validation, and field calibration. This documentation is necessary to ensure that critical information is related to the scientific community and NASA management. This critical information includes the technical difficulties and challenges of combining ocean color data from an array of independent satellite systems to form consistent and accurate global bio-optical time series products. This technical report is not meant as a substitute for scientific literature. Instead, it will provide a ready and responsive vehicle for the multitude of technical reports issued by an operational project.

Spacelab 3 Mission Science Review

NASA Technical Reports Server (NTRS)

Fichtl, George H. (Editor); Theon, John S. (Editor); Hill, Charles K. (Editor); Vaughan, Otha H. (Editor)

1987-01-01

Papers and abstracts of the presentations made at the symposium are given as the scientific report for the Spacelab 3 mission. Spacelab 3, the second flight of the National Aeronautics and Space Administration's (NASA) orbital laboratory, signified a new era of research in space. The primary objective of the mission was to conduct applications, science, and technology experiments requiring the low-gravity environment of Earth orbit and stable vehicle attitude over an extended period (e.g., 6 days) with emphasis on materials processing. The mission was launched on April 29, 1985, aboard the Space Shuttle Challenger which landed a week later on May 6. The multidisciplinary payload included 15 investigations in five scientific fields: material science, fluid dynamics, life sciences, astrophysics, and atmospheric science.

Scientific Research: What it Means to Me.

PubMed

Narlikar, Jayant V

2008-01-01

This article gives a personal perception of the author, of what scientific research means. Citing examples from the lives of all time greats like Newton, Kelvin and Maxwell he stresses the agonies of thinking up new ideas, the urge for creativity and the pleasure one derives from the process when it is completed. He then narrates instances from his own life that proved inspirational towards his research career. In his early studenthood, his parents and maternal uncle had widened his intellectual horizons while in later life his interaction with Fred Hoyle made him take up research challenges away from the beaten path. He concludes that taking up an anti-Establishment stand in research can create many logistical difficulties, but the rewards of success are all the more pleasing.

Rinderpest eradication: appropriate technology and social innovations.

PubMed

Mariner, Jeffrey C; House, James A; Mebus, Charles A; Sollod, Albert E; Chibeu, Dickens; Jones, Bryony A; Roeder, Peter L; Admassu, Berhanu; van 't Klooster, Gijs G M

2012-09-14

Rinderpest is only the second infectious disease to have been globally eradicated. In the final stages of eradication, the virus was entrenched in pastoral areas of the Greater Horn of Africa, a region with weak governance, poor security, and little infrastructure that presented profound challenges to conventional control methods. Although the eradication process was a development activity rather than scientific research, its success owed much to several seminal research efforts in vaccine development and epidemiology and showed what scientific decision-making and management could accomplish with limited resources. The keys to success were the development of a thermostable vaccine and the application of participatory epidemiological techniques that allowed veterinary personnel to interact at a grassroots level with cattle herders to more effectively target control measures.

SIMBIOS Project 1998 Annual Report

NASA Technical Reports Server (NTRS)

McClain, Charles R.; Fargion, Giulietta, S.

1999-01-01

The purpose of this series of technical reports is to provide current documentation of the Sensor Intercomparison and Merger for Biological and Interdisciplinary Ocean Studies (SIMBIOS) Project activities, NASA Research Announcement (NRA) research status, satellite data processing, data product validation and field calibration. This documentation is necessary to ensure that critical information is related to the scientific community and NASA management. This critical information includes the technical difficulties and challenges of combining ocean color data from an array of independent satellite systems to form consistent and accurate global bio-optical time series products. This technical report is not meant to substitute for scientific literature. Instead, it will provide a ready and responsive vehicle for the multitude of technical reports issues by an operational project.

U.S. Geological Survey coastal and marine geology research; recent highlights and achievements

USGS Publications Warehouse

Williams, S. Jeffress; Barnes, Peter W.; Prager, Ellen J.

2000-01-01

The USGS Coastal and Marine Geology Program has large-scale national and regional research projects that focus on environmental quality, geologic hazards, natural resources, and information transfer. This Circular highlights recent scientific findings of the program, which play a vital role in the USGS endeavor to understand human interactions with the natural environment and to determine how the fundamental geologic processes controlling the Earth work. The scientific knowledge acquired through USGS research and monitoring is critically needed by planners, government agencies, and the public. Effective communication of the results of this research will enable the USGS Coastal and Marine Geology Program to play an integral part in assisting the Nation in responding the pressing Earth science challenges of the 21st century.

How Scientific Illiteracy Threatens Our Future

NASA Astrophysics Data System (ADS)

Kirshenbaum, Sheril

2010-03-01

The vast majority of Americans do not see the ways in which science holds relevance in their lives, and too many scientists are unable to explain why our work matters. Meanwhile, partisan politics, a new media environment, and religious ideologies have magnified the growing rift between science and mainstream American culture. Science should be a value shared by all, but it will take far more than political will to bridge what C.P. Snow once described as a ``vast gulf of mutual incomprehension'' between scientists and everyone else. The scientific community must find new ways of reaching out or we will fail to influence the public, inform the decision-making process, and rise to meet the greatest challenges of the 21st century.

Design tools for complex dynamic security systems.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Byrne, Raymond Harry; Rigdon, James Brian; Rohrer, Brandon Robinson

2007-01-01

The development of tools for complex dynamic security systems is not a straight forward engineering task but, rather, a scientific task where discovery of new scientific principles and math is necessary. For years, scientists have observed complex behavior but have had difficulty understanding it. Prominent examples include: insect colony organization, the stock market, molecular interactions, fractals, and emergent behavior. Engineering such systems will be an even greater challenge. This report explores four tools for engineered complex dynamic security systems: Partially Observable Markov Decision Process, Percolation Theory, Graph Theory, and Exergy/Entropy Theory. Additionally, enabling hardware technology for next generation security systemsmore » are described: a 100 node wireless sensor network, unmanned ground vehicle and unmanned aerial vehicle.« less

Organization of Biomedical Data for Collaborative Scientific Research: A Research Information Management System

PubMed Central

Myneni, Sahiti; Patel, Vimla L.

2010-01-01

Biomedical researchers often work with massive, detailed and heterogeneous datasets. These datasets raise new challenges of information organization and management for scientific interpretation, as they demand much of the researchers’ time and attention. The current study investigated the nature of the problems that researchers face when dealing with such data. Four major problems identified with existing biomedical scientific information management methods were related to data organization, data sharing, collaboration, and publications. Therefore, there is a compelling need to develop an efficient and user-friendly information management system to handle the biomedical research data. This study evaluated the implementation of an information management system, which was introduced as part of the collaborative research to increase scientific productivity in a research laboratory. Laboratory members seemed to exhibit frustration during the implementation process. However, empirical findings revealed that they gained new knowledge and completed specified tasks while working together with the new system. Hence, researchers are urged to persist and persevere when dealing with any new technology, including an information management system in a research laboratory environment. PMID:20543892

The Power of Engaging Citizen Scientists for Scientific Progress

PubMed Central

Garbarino, Jeanne; Mason, Christopher E.

2016-01-01

Citizen science has become a powerful force for scientific inquiry, providing researchers with access to a vast array of data points while connecting nonscientists to the authentic process of science. This citizen-researcher relationship creates an incredible synergy, allowing for the creation, execution, and analysis of research projects that would otherwise prove impossible in traditional research settings, namely due to the scope of needed human or financial resources (or both). However, citizen-science projects are not without their challenges. For instance, as projects are scaled up, there is concern regarding the rigor and usability of data collected by citizens who are not formally trained in research science. While these concerns are legitimate, we have seen examples of highly successful citizen-science projects from multiple scientific disciplines that have enhanced our collective understanding of science, such as how RNA molecules fold or determining the microbial metagenomic snapshot of an entire public transportation system. These and other emerging citizen-science projects show how improved protocols for reliable, large-scale science can realize both an improvement of scientific understanding for the general public and novel views of the world around us. PMID:27047581

Organization of Biomedical Data for Collaborative Scientific Research: A Research Information Management System.

PubMed

Myneni, Sahiti; Patel, Vimla L

2010-06-01

Biomedical researchers often work with massive, detailed and heterogeneous datasets. These datasets raise new challenges of information organization and management for scientific interpretation, as they demand much of the researchers' time and attention. The current study investigated the nature of the problems that researchers face when dealing with such data. Four major problems identified with existing biomedical scientific information management methods were related to data organization, data sharing, collaboration, and publications. Therefore, there is a compelling need to develop an efficient and user-friendly information management system to handle the biomedical research data. This study evaluated the implementation of an information management system, which was introduced as part of the collaborative research to increase scientific productivity in a research laboratory. Laboratory members seemed to exhibit frustration during the implementation process. However, empirical findings revealed that they gained new knowledge and completed specified tasks while working together with the new system. Hence, researchers are urged to persist and persevere when dealing with any new technology, including an information management system in a research laboratory environment.

New Capabilities and Future Downhole and Coring Tools for IODP

NASA Astrophysics Data System (ADS)

Skinner, A.

2001-05-01

The extremely successful Ocean Drilling Programme (ODP) set the scene for innovative technical solutions to meet scientific challenges. This scenario is set to expand when the Integrated Ocean Drilling Programme (IODP) comes on stream at the end of 2003. Firstly the programme will have access to two dedicated drilling vessels and additional `Fit to mission@ offshore drilling units. This will allow for a much wider base of scientific disciplinary objectives to be met by coring and geophysical logging. And in turn will require more and innovative techncial equipment to collect the data. Secondly there are a number of coring tool developments which can enhance and extend data collection and which are not currently being used within the ODP programme. This, coupled with the different operational capabilities within IODP poses a number of technical challenges to ensure that the new programme meets all of the anticipated scientific demands. Thridly, over the past few years and ongoing at an accelerated pace, there has been significant advances in remote geophysical logging of boreholes both during and after drilling. The full potential of this has yet to be released on the scientific community and is set to revolutionise the acquisition of data from scientific boreholes. All of these items are discussed in the context of meeting the scientific challenges of IODP by harnessing and developing present industry and (outwith ODP) scientific technologies for the new programme.

Exploring the Notion of Context in Medical Data.

PubMed

Mylonas, Phivos

2017-01-01

Scientific and technological knowledge and skills are becoming crucial for most data analysis activities. Two rather distinct, but at the same time collaborating, domains are the ones of computer science and medicine; the former offers significant aid towards a more efficient understanding of the latter's research trends. Still, the process of meaningfully analyzing and understanding medical information and data is a tedious one, bound to several challenges. One of them is the efficient utilization of contextual information in the process leading to optimized, context-aware data analysis results. Nowadays, researchers are provided with tools and opportunities to analytically study medical data, but at the same time significant and rather complex computational challenges are yet to be tackled, among others due to the humanistic nature and increased rate of new content and information production imposed by related hardware and applications. So, the ultimate goal of this position paper is to provide interested parties an overview of major contextual information types to be identified within the medical data processing framework.

Engage, discover, apply, learn, repeat: Implementing a Sustained National Climate Assessment within the United States

NASA Astrophysics Data System (ADS)

Moss, R. H.

2017-12-01

Assessment of potential impacts and adaptations to global environmental change evaluate the continuously evolving state of science through the lens of relevance to challenges such as planning long-lived infrastructure and managing risks to property, ecosystems, public health, and other valued assets or objectives. These planning and decision contexts present varied challenges, including: multiple attributes at risk from interacting environmental and socioeconomic trends; uncertainties (scientific and otherwise); partial solutions with indefinite costs and benefits; and tradeoffs across stakeholder groups. Research and evaluation of assessments indicate they convey information that is more usable and relevant to decision makers if they are designed as sustained interactions of pertinent scientific and user communities and result in products beyond written reports. This talk will report on the work of a Federal Advisory Committee for the Sustained National Climate Assessment (SNCA) to develop recommendations to increase the SNCA's relevance and usability. The recommendations build on the conclusions of a 2013 report by the predecessor SNCA advisory committee and suggest next steps for (1) engagement, (2) provision of core scientific products, (3) tailoring of information and tools to provide insights under uncertainty, and (4) evaluation of products and outcomes. The recommended process focuses on providing insights relevant to consideration of risks and solutions. While resulting in a wide range of products and outcomes on an ongoing basis, aggregation and assessment of emerging insights and good practice for supporting decision making under uncertainty would recur over a four-year adaptive management cycle in the context of the preparation of the US national assessment report mandated under the Global Change Research Act. Uncertainty about the future role of Federal agencies in the assessment process and opportunities for increased engagement by non-Federal actors will be considered.

GISpark: A Geospatial Distributed Computing Platform for Spatiotemporal Big Data

NASA Astrophysics Data System (ADS)

Wang, S.; Zhong, E.; Wang, E.; Zhong, Y.; Cai, W.; Li, S.; Gao, S.

2016-12-01

Geospatial data are growing exponentially because of the proliferation of cost effective and ubiquitous positioning technologies such as global remote-sensing satellites and location-based devices. Analyzing large amounts of geospatial data can provide great value for both industrial and scientific applications. Data- and compute- intensive characteristics inherent in geospatial big data increasingly pose great challenges to technologies of data storing, computing and analyzing. Such challenges require a scalable and efficient architecture that can store, query, analyze, and visualize large-scale spatiotemporal data. Therefore, we developed GISpark - a geospatial distributed computing platform for processing large-scale vector, raster and stream data. GISpark is constructed based on the latest virtualized computing infrastructures and distributed computing architecture. OpenStack and Docker are used to build multi-user hosting cloud computing infrastructure for GISpark. The virtual storage systems such as HDFS, Ceph, MongoDB are combined and adopted for spatiotemporal data storage management. Spark-based algorithm framework is developed for efficient parallel computing. Within this framework, SuperMap GIScript and various open-source GIS libraries can be integrated into GISpark. GISpark can also integrated with scientific computing environment (e.g., Anaconda), interactive computing web applications (e.g., Jupyter notebook), and machine learning tools (e.g., TensorFlow/Orange). The associated geospatial facilities of GISpark in conjunction with the scientific computing environment, exploratory spatial data analysis tools, temporal data management and analysis systems make up a powerful geospatial computing tool. GISpark not only provides spatiotemporal big data processing capacity in the geospatial field, but also provides spatiotemporal computational model and advanced geospatial visualization tools that deals with other domains related with spatial property. We tested the performance of the platform based on taxi trajectory analysis. Results suggested that GISpark achieves excellent run time performance in spatiotemporal big data applications.

Volcano alert level systems: managing the challenges of effective volcanic crisis communication

NASA Astrophysics Data System (ADS)

Fearnley, C. J.; Beaven, S.

2018-05-01

Over the last four decades, volcano observatories have adopted a number of different communication strategies for the dissemination of information on changes in volcanic behaviour and potential hazards to a wide range of user groups. These commonly include a standardised volcano alert level system (VALS), used in conjunction with other uni-valent communication techniques (such as information statements, reports and maps) and multi-directional techniques (such as meetings and telephone calls). This research, based on interviews and observation conducted 2007-2009 at the five US Geological Survey (USGS) volcano observatories, and including some of the key users of the VALS, argues for the importance of understanding how communicating volcanic hazard information takes place as an everyday social practice, focusing on the challenges of working across the boundaries between the scientific and decision-making communities. It is now widely accepted that the effective use, value and deployment of information across science-policy interfaces of this kind depend on three criteria: the scientific credibility of the information, its relevance to the needs of stakeholders and the legitimacy of both the information and the processes that produced it. Translation and two-way communication are required to ensure that all involved understand what information is credible and relevant. Findings indicate that whilst VALS play a role in raising awareness of an unfolding situation, supplementary communication techniques are crucial in facilitating situational understanding of that situation, and the uncertainties inherent to its scientific assessment, as well as in facilitating specific responses. In consequence, `best practice' recommendations eschew further standardisation, and focus on the in situ cultivation of dialogue between scientists and stakeholders as a means of ensuring that information, and the processes through which it is produced are perceived to be legitimate by all involved.

The Challenges and Benefits of Using Computer Technology for Communication and Teaching in the Geosciences

NASA Astrophysics Data System (ADS)

Fairley, J. P.; Hinds, J. J.

2003-12-01

The advent of the World Wide Web in the early 1990s not only revolutionized the exchange of ideas and information within the scientific community, but also provided educators with a new array of teaching, informational, and promotional tools. Use of computer graphics and animation to explain concepts and processes can stimulate classroom participation and student interest in the geosciences, which has historically attracted students with strong spatial and visualization skills. In today's job market, graduates are expected to have knowledge of computers and the ability to use them for acquiring, processing, and visually analyzing data. Furthermore, in addition to promoting visibility and communication within the scientific community, computer graphics and the Internet can be informative and educational for the general public. Although computer skills are crucial for earth science students and educators, many pitfalls exist in implementing computer technology and web-based resources into research and classroom activities. Learning to use these new tools effectively requires a significant time commitment and careful attention to the source and reliability of the data presented. Furthermore, educators have a responsibility to ensure that students and the public understand the assumptions and limitations of the materials presented, rather than allowing them to be overwhelmed by "gee-whiz" aspects of the technology. We present three examples of computer technology in the earth sciences classroom: 1) a computer animation of water table response to well pumping, 2) a 3-D fly-through animation of a fault controlled valley, and 3) a virtual field trip for an introductory geology class. These examples demonstrate some of the challenges and benefits of these new tools, and encourage educators to expand the responsible use of computer technology for teaching and communicating scientific results to the general public.

Bringing values and deliberation to science communication.

PubMed

Dietz, Thomas

2013-08-20

Decisions always involve both facts and values, whereas most science communication focuses only on facts. If science communication is intended to inform decisions, it must be competent with regard to both facts and values. Public participation inevitably involves both facts and values. Research on public participation suggests that linking scientific analysis to public deliberation in an iterative process can help decision making deal effectively with both facts and values. Thus, linked analysis and deliberation can be an effective tool for science communication. However, challenges remain in conducting such process at the national and global scales, in enhancing trust, and in reconciling diverse values.

A Systematic Approach for Obtaining Performance on Matrix-Like Operations

NASA Astrophysics Data System (ADS)

Veras, Richard Michael

Scientific Computation provides a critical role in the scientific process because it allows us ask complex queries and test predictions that would otherwise be unfeasible to perform experimentally. Because of its power, Scientific Computing has helped drive advances in many fields ranging from Engineering and Physics to Biology and Sociology to Economics and Drug Development and even to Machine Learning and Artificial Intelligence. Common among these domains is the desire for timely computational results, thus a considerable amount of human expert effort is spent towards obtaining performance for these scientific codes. However, this is no easy task because each of these domains present their own unique set of challenges to software developers, such as domain specific operations, structurally complex data and ever-growing datasets. Compounding these problems are the myriads of constantly changing, complex and unique hardware platforms that an expert must target. Unfortunately, an expert is typically forced to reproduce their effort across multiple problem domains and hardware platforms. In this thesis, we demonstrate the automatic generation of expert level high-performance scientific codes for Dense Linear Algebra (DLA), Structured Mesh (Stencil), Sparse Linear Algebra and Graph Analytic. In particular, this thesis seeks to address the issue of obtaining performance on many complex platforms for a certain class of matrix-like operations that span across many scientific, engineering and social fields. We do this by automating a method used for obtaining high performance in DLA and extending it to structured, sparse and scale-free domains. We argue that it is through the use of the underlying structure found in the data from these domains that enables this process. Thus, obtaining performance for most operations does not occur in isolation of the data being operated on, but instead depends significantly on the structure of the data.

Creating Personal Meaning through Technology-Supported Science Inquiry Learning across Formal and Informal Settings

NASA Astrophysics Data System (ADS)

Anastopoulou, Stamatina; Sharples, Mike; Ainsworth, Shaaron; Crook, Charles; O'Malley, Claire; Wright, Michael

2012-01-01

In this paper, a novel approach to engaging students in personal inquiry learning is described, whereby they carry out scientific investigations that are personally meaningful and relevant to their everyday lives. The learners are supported by software that guides the inquiry process, extending from the classroom into the school grounds, home, or outdoors. We report on a case study of personal inquiry learning with 28 high school students on the topic of healthy eating. An analysis of how the personal inquiry was enacted in the classroom and at home, based on issues identified from a study of interviews with the students and their teacher, is provided. The outcomes showed that students were alerted to challenges associated with fieldwork and how they responded to the uncertainty and challenge of an open investigation. The study, moreover, raised an unexpected difficulty for researchers of finding the 'sweet spot' between scientifically objective but unengaging inquiry topics, and ones that are personally meaningful but potentially embarrassing. Implications for further research are shaped around ways of overcoming this difficulty.

Explaining Variation in How Classroom Communities Adapt the Practice of Scientific Argumentation

ERIC Educational Resources Information Center

Berland, Leema K.

2011-01-01

Research and practice has placed an increasing emphasis on aligning classroom practices with scientific practices such as scientific argumentation. In this paper, I explore 1 challenge associated with this goal by examining how existing classroom practices influence students' engagement in the practice of scientific argumentation. To do so, I…

SCIENTIFIC AUTHORSHIP, PART I: A WINDOW INOT SCIENTIFIC FRAUD SCIENTIFIC AUTHORSHIP, PART II: HISTORY, REOCCURRING ISSUES, PRACTICES, AND GUIDELINES (SEE COMMENTS)

EPA Science Inventory

Scientific Authorship: History, Reoccurring Issues, Practices, and Guidelines
Introduction
Often, the most challenging aspect of being a scientist is dealing with the intricacies of publishing one's research and knowledge. One must do much more than just accurately record...

[Opportunity and challenge of post-marketing evaluation of traditional Chinese medicine].

PubMed

Du, Xiao-Xi; Song, Hai-Bo; Ren, Jing-Tian; Yang, Le; Guo, Xiao-Xin; Pang, Yu

2014-09-01

Post-marketing evaluation is a process which evaluate the risks and benefits of drug clinical application comprehensively and systematically, scientific and systematic results of post-marketing evaluation not only can provide data support for clinical application of traditional Chinese medicine, but also can be a reliable basis for the supervision department to develop risk control measures. With the increasing demands for treatment and prevention of disease, traditional Chinese medicine has been widely used, and security issues are also exposed. How to find risk signal of traditional Chinese medicine in the early stages, carry out targeted evaluation work and control risk timely have become challenges in the development of traditional Chinese medicine industry.

Involving Research Stakeholders in Developing Policy on Sharing Public Health Research Data in Kenya: Views on Fair Process for Informed Consent, Access Oversight, and Community Engagement.

PubMed

Jao, Irene; Kombe, Francis; Mwalukore, Salim; Bull, Susan; Parker, Michael; Kamuya, Dorcas; Molyneux, Sassy; Marsh, Vicki

2015-07-01

Increased global sharing of public health research data has potential to advance scientific progress but may present challenges to the interests of research stakeholders, particularly in low-to-middle income countries. Policies for data sharing should be responsive to public views, but there is little evidence of the systematic study of these from low-income countries. This qualitative study explored views on fair data-sharing processes among 60 stakeholders in Kenya with varying research experience, using a deliberative approach. Stakeholders' attitudes were informed by perceptions of benefit and concerns for research data sharing, including risks of stigmatization, loss of privacy, and undermining scientific careers and validity, reported in detail elsewhere. In this article, we discuss institutional trust-building processes seen as central to perceptions of fairness in sharing research data in this setting, including forms of community involvement, individual prior awareness and agreement to data sharing, independence and accountability of governance mechanisms, and operating under a national framework. © The Author(s) 2015.

Numerical simulation of turbulent combustion: Scientific challenges

NASA Astrophysics Data System (ADS)

Ren, ZhuYin; Lu, Zhen; Hou, LingYun; Lu, LiuYan

2014-08-01

Predictive simulation of engine combustion is key to understanding the underlying complicated physicochemical processes, improving engine performance, and reducing pollutant emissions. Critical issues as turbulence modeling, turbulence-chemistry interaction, and accommodation of detailed chemical kinetics in complex flows remain challenging and essential for high-fidelity combustion simulation. This paper reviews the current status of the state-of-the-art large eddy simulation (LES)/prob-ability density function (PDF)/detailed chemistry approach that can address the three challenging modelling issues. PDF as a subgrid model for LES is formulated and the hybrid mesh-particle method for LES/PDF simulations is described. Then the development need in micro-mixing models for the PDF simulations of turbulent premixed combustion is identified. Finally the different acceleration methods for detailed chemistry are reviewed and a combined strategy is proposed for further development.

78 FR 50404 - Advanced Scientific Computing Advisory Committee

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-19

... for the exascale challenges charge. Tentative Agenda: Agenda will include discussion of the following: Exascale Challenges Workshop and preliminary list of most critical challenges, and technical approaches to...

[Field work, narrative and knowledge production in contemporary ethnographic research: a contribution to the field of health].

PubMed

Trad, Leny Alves Bomfim

2012-03-01

In this article I reflect on the peculiarities of contemporary ethnographic research, highlighting some challenges inherent to this process. The discussion focuses in particular on the following aspects: the limits imposed by the clear reduction in immersion time in the field; the challenges in learning about ethnographic work, either in the process of observation or interaction in the field, or in the task of textual production; issues of an epistemological and ethical nature that deserve particular attention on the part of practitioners of the ethnographic approach and the scientific community in general. It is especially appropriate to foster debate around the ethnographic method, addressing its peculiarities, operational complexity and potential as a tool for knowledge production, in the sphere of health/public health, bearing in mind the marked increase of this approach in this field.

Public and stakeholder participation for managing and reducing the risks of shale gas development.

PubMed

North, D Warner; Stern, Paul C; Webler, Thomas; Field, Patrick

2014-01-01

Emerging technologies pose particularly strong challenges for risk governance when they have multidimensional and inequitable impacts, when there is scientific uncertainty about the technology and its risks, when there are strong value conflicts over the perceived benefits and risks, when decisions must be made urgently, and when the decision making environment is rife with mistrust. Shale gas development is one such emerging technology. Drawing on previous U.S. National Research Council committee reports that examined risk decision making for complex issues like these, we point to the benefits and challenges of applying the analytic-deliberative process recommended in those reports for stakeholder and public engagement in risk decision making about shale gas development in the United States. We discuss the different phases of such a process and conclude by noting the dangers of allowing controversy to ossify and the benefits of sound dialogue and learning among publics, stakeholders, industry, and regulatory decision makers.

Developing Marine Science Instructional Materials Using Integrated Scientist-Educator Collaborative Design Teams: A Discussion of Challenges and Success Developing Real Time Data Projects for the COOL Classroom

NASA Astrophysics Data System (ADS)

McDonnell, J.; Duncan, R. G.; Glenn, S.

2007-12-01

Current reforms in science education place increasing demands on teachers and students to engage not only with scientific content but also to develop an understanding of the nature of scientific inquiry (AAAS, 1993; NRC, 1996). Teachers are expected to engage students with authentic scientific practices including posing questions, conducting observations, analyzing data, developing explanations and arguing about them using evidence. This charge is challenging for many reasons most notably the difficulty in obtaining meaningful data about complex scientific phenomena that can be used to address relevant scientific questions that are interesting and understandable to K-12 students. We believe that ocean sciences provide an excellent context for fostering scientific inquiry in the classroom. Of particular interest are the technological and scientific advances of Ocean Observing Systems, which allow scientists to continuously interact with instruments, facilities, and other scientists to explore the earth-ocean- atmosphere system remotely. Oceanographers are making long-term measurements that can also resolve episodic oceanic processes on a wide range of spatial and temporal scales crucial to resolving scientific questions related to Earth's climate, geodynamics, and marine ecosystems. The availability of a diverse array of large data sets that are easily accessible provides a unique opportunity to develop inquiry-based learning environments in which students can explore many important questions that reflect current research trends in ocean sciences. In addition, due to the interdisciplinary nature of the ocean sciences these data sets can be used to examine ocean phenomena from a chemical, physical, or biological perspective; making them particularly useful for science teaching across the disciplines. In this session we will describe some of the efforts of the Centers for Ocean Sciences Education Excellence- Mid Atlantic (COSEE MA) to develop instructional materials, in which students use real-time-data (RTD) to generate explanations about important ocean phenomena. We will discuss our use of an Instructional Design Model (Gauge 1987) to: 1) assess our audience need, 2) develop an effective collaborative design team, 3) develop and evaluate the instructional product, and 4) implement professional development designed to familiarize teachers with oceans sciences as a context for scientific inquiry.

Broadening Participation in the Sciences within and from Africa: Purpose, Challenges, and Prospects

PubMed Central

Okeke, Iruka N.; Babalola, Chinedum P.; Byarugaba, Denis K.; Djimde, Abdoulaye; Osoniyi, Omolaja R.

2017-01-01

Many of Africa’s challenges have scientific solutions, but there are fewer individuals engaged in scientific activity per capita on this continent than on any other. Only a handful of African scientists use their skills to capacity or are leaders in their disciplines. Underrepresentation of Africans in scientific practice, discourse, and decision making reduces the richness of intellectual contributions toward hard problems worldwide. This essay outlines challenges faced by teacher-scholars from sub-Saharan Africa as we build scientific expertise. Access to tertiary-level science is difficult and uneven across Africa, and the quality of training available varies from top-range to inadequate. Access to science higher education needs to increase, particularly for female students, first-generation literates, and rural populations. We make suggestions for collaborative initiatives involving stakeholders outside Africa and/or outside academia that could extend educational opportunities available to African students and increase the chance that Africa-based expertise is globally available. PMID:28408409

From occupational safety and health to Workers' Health: history and challenges to the Brazilian Journal of Occupational Health.

PubMed

Jackson Filho, José Marçal; Algranti, Eduardo; Saito, Cézar Akiyoshi; Garcia, Eduardo Garcia

2015-07-01

The Revista Brasileira de Saúde Ocupacional (RBSO) - Brazilian Journal of Occupational Health - is an academic peer-reviewed journal in the field of Workers' Health that has been published by Fundacentro since 1973. Its historical trajectory, current performance, challenges and future perspectives were approached, in this paper, from a documental analysis. The journal's history can be divided into three periods, starting during the military government. At the beginning, the journal was the official vehicle for the Brazilian occupational accidents prevention policy, in which Fundacentro played a central role. The early 1980s opens space for technical-scientific publications and the field of Workers' Health emerges on the journal's pages. In 2005-6, a restructuring process is implemented, ensuring independent editorial policy and structures. Since 2006, 139 original papers and 9 thematic issues have been published. The journal is indexed in 9 bibliographic databases, has been ranked B1 in the field of interdisciplinary studies and B2 in the field of public health by CAPES, has an upward trend in the SciELO Impact Factor, and has an h-index of 5 in Google Scholar. Nevertheless, the low scientific production in the field and the high rate of rejection of manuscripts may jeopardize the survival of the journal, which is the main locus for scientific publications in the field of Workers' Health.

Publishing and Editing of Semantically-Enabled Scientific Metadata Across Multiple Web Platforms: Challenges and Experiences

NASA Astrophysics Data System (ADS)

Patton, E. W.; West, P.; Greer, R.; Jin, B.

2011-12-01

Following on work presented at the 2010 AGU Fall Meeting, we present a number of real-world collections of semantically-enabled scientific metadata ingested into the Tetherless World RDF2HTML system as structured data and presented and edited using that system. Two separate datasets from two different domains (oceanography and solar sciences) are made available using existing web standards and services, e.g. encoded using ontologies represented with the Web Ontology Language (OWL) and stored in a SPARQL endpoint for querying. These datasets are deployed for use in three different web environments, i.e. Drupal, MediaWiki, and a custom web portal written in Java, to highlight the cross-platform nature of the data presentation. Stylesheets used to transform concepts in each domain as well as shared terms into HTML will be presented to show the power of using common ontologies to publish data and support reuse of existing terminologies. In addition, a single domain dataset is shared between two separate portal instances to demonstrate the ability for this system to offer distributed access and modification of content across the Internet. Lastly, we will highlight challenges that arose in the software engineering process, outline the design choices we made in solving those issues, and discuss how future improvements to this and other systems will enable the evolution of distributed, decentralized collaborations for scientific data sharing across multiple research groups.

Health Sector Reform and Social Determinants of Health: building up theoretical and methodological interconnections to approach complex global challenges.

PubMed

Junior, Garibaldi Dantas Gurgel

2014-01-01

Health Sector Reform and Social Determinants of Health are central issues for the current international policy debate, considering the turbulent scenario and the threat of economic recession in a global scale. Although these themes have been discussed for a long time, three major issues still calls the attention of the scientific community and health policymakers. The first one is the matter of how to approach scientifically the intricate connections between them in order to understand the consequences of policies for healthcare services, once this debate will become much more tensioned in the coming years. The second one is the lack of explanatory frameworks to investigate the policies of reform strategies, simultaneously observed in a variety of countries within distinct health services, which aim to achieve multiple and contradictory goals vis-à-vis the so-called social determinants of health. The third one is the challenge that governments face in developing and sustaining equitable health services, bearing in mind the intense political dispute behind the health sector reform processes. This article discusses an all-embracing theoretical and methodological scheme to address these questions. The aim is to connect macro- and middle-range theories to examine Social Determinants and Health Sector Reform interdependent issues, with view to developing new knowledge and attaining scientific understanding upon the role of universal and equitable healthcare systems, in order to avoid deepening economic crises.

Graph processing platforms at scale: practices and experiences

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lim, Seung-Hwan; Lee, Sangkeun; Brown, Tyler C

2015-01-01

Graph analysis unveils hidden associations of data in many phenomena and artifacts, such as road network, social networks, genomic information, and scientific collaboration. Unfortunately, a wide diversity in the characteristics of graphs and graph operations make it challenging to find a right combination of tools and implementation of algorithms to discover desired knowledge from the target data set. This study presents an extensive empirical study of three representative graph processing platforms: Pegasus, GraphX, and Urika. Each system represents a combination of options in data model, processing paradigm, and infrastructure. We benchmarked each platform using three popular graph operations, degree distribution,more » connected components, and PageRank over a variety of real-world graphs. Our experiments show that each graph processing platform shows different strength, depending the type of graph operations. While Urika performs the best in non-iterative operations like degree distribution, GraphX outputforms iterative operations like connected components and PageRank. In addition, we discuss challenges to optimize the performance of each platform over large scale real world graphs.« less

Reengineering the National Clinical and Translational Research Enterprise: The Strategic Plan of the National Clinical and Translational Science Awards Consortium

PubMed Central

Reis, Steven E.; Berglund, Lars; Bernard, Gordon R.; Califf, Robert M.; FitzGerald, Garret A.; Johnson, Peter C.

2009-01-01

Advances in human health require the efficient and rapid translation of scientific discoveries into effective clinical treatments; this process in turn depends upon observational data gathered from patients, communities, and public-health research that can be used to guide basic scientific investigation. Such bidirectional translational science, however, faces unprecedented challenges due to the rapid pace of scientific and technological development, as well as the difficulties of negotiating increasingly complex regulatory and commercial environments that overlap the research domain. Further, numerous barriers to translational science have emerged among the nation’s academic research centers, including basic structural and cultural impediments to innovation and collaboration, shortages of trained investigators, and inadequate funding. To address these serious and systemic problems, in 2006, the National Institutes of Health created the Clinical and Translational Science Awards (CTSA) program, which aims to catalyze the transformation of biomedical research at a national level, speeding the discovery and development of therapies, fostering collaboration, engaging communities, and training succeeding generations of clinical and translational researchers. The authors report in detail on the planning process, begun in 2008, that was used to engage stakeholders and to identify, refine, and ultimately implement the CTSA program’s overarching strategic goals. They also discuss the implications and likely impact of this strategic planning process as it is applied among the nation’s academic health centers. PMID:20182119

Reengineering the national clinical and translational research enterprise: the strategic plan of the National Clinical and Translational Science Awards Consortium.

PubMed

Reis, Steven E; Berglund, Lars; Bernard, Gordon R; Califf, Robert M; Fitzgerald, Garret A; Johnson, Peter C

2010-03-01

Advances in human health require the efficient and rapid translation of scientific discoveries into effective clinical treatments; this process, in turn, depends on observational data gathered from patients, communities, and public health research that can be used to guide basic scientific investigation. Such bidirectional translational science, however, faces unprecedented challenges due to the rapid pace of scientific and technological development, as well as the difficulties of negotiating increasingly complex regulatory and commercial environments that overlap the research domain. Further, numerous barriers to translational science have emerged among the nation's academic research centers, including basic structural and cultural impediments to innovation and collaboration, shortages of trained investigators, and inadequate funding.To address these serious and systemic problems, in 2006 the National Institutes of Health created the Clinical and Translational Science Awards (CTSA) program, which aims to catalyze the transformation of biomedical research at a national level, speeding the discovery and development of therapies, fostering collaboration, engaging communities, and training succeeding generations of clinical and translational researchers. The authors report in detail on the planning process, begun in 2008, that was used to engage stakeholders and to identify, refine, and ultimately implement the CTSA program's overarching strategic goals. They also discuss the implications and likely impact of this strategic planning process as it is applied among the nation's academic health centers.

Deciding to opt out of childhood vaccination mandates.

PubMed

Gullion, Jessica Smartt; Henry, Lisa; Gullion, Greg

2008-01-01

We explore the attitudes and beliefs of parents who consciously choose not to vaccinate their children and the ways in which these parents process information on the pros and cons of vaccines. In-depth, semistructured interviews were conducted. The study population consisted of 25 parents who do not vaccinate their children, identified through snowball and targeted sampling. Participants were asked about their processes and actions when choosing not to vaccinate their children. Interviews were taped and transcribed, and the content was analyzed for emergent themes. Two predominant themes emerged in our data: a desire to collect information on vaccines and trust issues with the medical community. Evidence of sophisticated data collection and information processing was a repeated theme in the interview data. Simultaneously, while participants placed a high value on scientific knowledge, they also expressed high levels of distrust of the medical community. The challenge for public health is to balance scientific data with popular epidemiology and to maintain legitimacy. Understanding the differences in lay versus expert knowledge has implications for crafting health messages. How experts frame knowledge for consumption has an important impact on this group and their decision-making processes.

The Science and Technology of Future Space Missions

NASA Astrophysics Data System (ADS)

Bonati, A.; Fusi, R.; Longoni, F.

1999-12-01

The future space missions span over a wide range of scientific objectives. After different successful scientific missions, other international cornerstone experiments are planned to study of the evolution of the universe and of the primordial stellar systems, and our solar system. Space missions for the survey of the microwave cosmic background radiation, deep-field search in the near and mid-infrared region and planetary exploration will be carried out. Several fields are open for research and development in the space business. Three major categories can be found: detector technology in different areas, electronics, and software. At LABEN, a Finmeccanica Company, we are focusing the technologies to respond to this challenging scientific demands. Particle trackers based on silicon micro-strips supported by lightweight structures (CFRP) are studied. In the X-ray field, CCD's are investigated with pixels of very small size so as to increase the spatial resolution of the focal plane detectors. High-efficiency and higly miniaturized high-voltage power supplies are developed for detectors with an increasingly large number of phototubes. Material research is underway to study material properties at extreme temperatures. Low-temperature mechanical structures are designed for cryogenic ( 20 K) detectors in order to maintain the high precision in pointing the instrument. Miniaturization of front end electronics with low power consumption and high number of signal processing channels is investigated; silicon-based microchips (ASIC's) are designed and developed using state-of-the-art technology. Miniaturized instruments to investigate the planets surface using X-Ray and Gamma-Ray scattering techniques are developed. The data obtained from the detectors have to be processed, compressed, formatted and stored before their transmission to ground. These tasks open up additional strategic areas of development such as microprocessor-based electronics for high-speed and parallel data processing. Powerful computers with customized architectures are designed and developed. High-speed intercommunication networks are studied and tested. In parallel to the hardware research activities, software development is undertaken for several purposes: digital and video compression algorithms, payload and spacecraft control and diagnostics, scientific processing algorithms, etc. Besides, embedded Java virtual machines are studied for tele-science applications (direct link between scientist console and scientific payload). At system engineering level, the demand for spacecraft autonomy is increased for planetology missions: reliable intelligent systems that can operate for long periods of time without human intervention from ground are requested and investigated. A technologically challenging but less glamorous area of development is represented by the laboratory equipment for end-to-end testing (on ground) of payload instruments. The main fields are cryogenics, laser and X-ray optics, microwave radiometry, UV and infrared testing systems.

The Whiteboard Revolution: Illuminating Science Communication in the Digital Age.

PubMed

Mar, Florie Anne; Ordovas-Montanes, Jose; Oksenberg, Nir; Olson, Alexander M

2016-04-01

Journal-based science communication is not accessible or comprehensible to a general public curious about science and eager for the next wave of scientific innovation. We propose an alternative medium for scientists to communicate their work to the general public in an engaging and digestible way through the use of whiteboard videos. We describe the process of producing science whiteboard videos and the benefits and challenges therein. Copyright © 2016 Elsevier Ltd. All rights reserved.

Physics and Women: A Challenge Being Successfully Met in Cuba

NASA Astrophysics Data System (ADS)

Arias de Fuentes, Olimpia

The history of physics in Cuba, like all the country's educational and scientific development, cannot be understood without taking into account its close relationship with the social changes that took place in Cuba during the five decades elapsed since 1959. This should include due consideration to the role played by women in this process, all the more since the link between science and gender is now generally regarded as a subject of growing special interest

Myc: the beauty and the beast.

PubMed

Wasylishen, Amanda R; Penn, Linda Z

2010-06-01

The iconic history of the Myc oncoprotein encompasses 3 decades of intense scientific discovery. There is no question that Myc has been a pioneer, advancing insight into the molecular basis of cancer as well as functioning as a critical control center for several diverse biological processes and regulatory mechanisms. This narrative chronicles the journey and milestones that have defined the understanding of Myc, and it provides an opportunity to consider future directions in this challenging yet rewarding field.

Delivery of Fluorescent Nanoparticles to the Brain.

PubMed

Shimoni, Olga; Shi, Bingyang; Adlard, Paul A; Bush, Ashley I

2016-11-01

Nanotechnology applications in neuroscience promises to deliver significant scientific and technological breakthroughs, providing answers to unresolved questions regarding the processes occurring in the brain. In this perspective, we provide a short background on two distinct fluorescent nanoparticles and summarize several studies focussed on achieving delivery of these into the brain and their interaction with brain tissue. Furthermore, we discuss challenges and opportunities for further development of nanoparticle-based therapies for targeting delivery of drugs across the blood-brain barrier.

Assuring safety without animal testing: Unilever's ongoing research programme to deliver novel ways to assure consumer safety.

PubMed

Westmoreland, Carl; Carmichael, Paul; Dent, Matt; Fentem, Julia; MacKay, Cameron; Maxwell, Gavin; Pease, Camilla; Reynolds, Fiona

2010-01-01

Assuring consumer safety without the generation of new animal data is currently a considerable challenge. However, through the application of new technologies and the further development of risk-based approaches for safety assessment, we remain confident it is ultimately achievable. For many complex, multi-organ consumer safety endpoints, the development, evaluation and application of new, non-animal approaches is hampered by a lack of biological understanding of the underlying mechanistic processes involved. The enormity of this scientific challenge should not be underestimated. To tackle this challenge a substantial research programme was initiated by Unilever in 2004 to critically evaluate the feasibility of a new conceptual approach based upon the following key components: 1.Developing new, exposure-driven risk assessment approaches. 2.Developing new biological (in vitro) and computer-based (in silico) predictive models. 3.Evaluating the applicability of new technologies for generating data (e.g. "omics", informatics) and for integrating new types of data (e.g. systems approaches) for risk-based safety assessment. Our research efforts are focussed in the priority areas of skin allergy, cancer and general toxicity (including inhaled toxicity). In all of these areas, a long-term investment is essential to increase the scientific understanding of the underlying biology and molecular mechanisms that we believe will ultimately form a sound basis for novel risk assessment approaches. Our research programme in these priority areas consists of in-house research as well as Unilever-sponsored academic research, involvement in EU-funded projects (e.g. Sens-it-iv, Carcinogenomics), participation in cross-industry collaborative research (e.g. Colipa, EPAA) and ongoing involvement with other scientific initiatives on non-animal approaches to risk assessment (e.g. UK NC3Rs, US "Human Toxicology Project" consortium).

The Stigma Complex

PubMed Central

Pescosolido, Bernice A.; Martin, Jack K.

2016-01-01

Since the beginning of the twenty-first century, research on stigma has continued. Building on conceptual and empirical work, the recent period clarifies new types of stigmas, expansion of measures, identification of new directions, and increasingly complex levels. Standard beliefs have been challenged, the relationship between stigma research and public debates reconsidered, and new scientific foundations for policy and programs suggested. We begin with a summary of the most recent Annual Review articles on stigma, which reminded sociologists of conceptual tools, informed them of developments from academic neighbors, and claimed findings from the early period of “resurgence.” Continued (even accelerated) progress has also revealed a central problem. Terms and measures are often used interchangeably, leading to confusion and decreasing accumulated knowledge. Drawing from this work but focusing on the past 14 years of stigma research (including mental illness, sexual orientation, HIV/AIDS, and race/ethnicity), we provide a theoretical architecture of concepts (e.g., prejudice, experienced/received discrimination), drawn together through a stigma process (i.e., stigmatization), based on four theoretical premises. Many characteristics of the mark (e.g., discredited, concealable) and variants (i.e., stigma types and targets) become the focus of increasingly specific and multidimensional definitions. Drawing from complex and systems science, we propose a stigma complex, a system of interrelated, heterogeneous parts bringing together insights across disciplines to provide a more realistic and complicated sense of the challenge facing research and change efforts. The Framework Integrating Normative Influences on Stigma (FINIS) offers a multilevel approach that can be tailored to stigmatized statuses. Finally, we outline challenges for the next phase of stigma research, with the goal of continuing scientific activity that enhances our understanding of stigma and builds the scientific foundation for efforts to reduce intolerance. PMID:26855471

Feedback of Individual Genetic Results to Research Participants: Is It Feasible in Europe?

PubMed Central

Mascalzoni, Deborah; Soini, Sirpa; Machado, Helena; Kaye, Jane; Bentzen, Heidi Beate; Rial-Sebbag, Emmanuelle; D'Abramo, Flavio; Witt, Michał; Schamps, Geneviève; Katić, Višnja; Krajnovic, Dusanca; Harris, Jennifer R.

2016-01-01

Background: There is growing consensus that individual genetic research results that are scientifically robust, analytically valid, and clinically actionable should be offered to research participants. However, the general practice in European research projects is that results are usually not provided to research participants for many reasons. This article reports on the views of European experts and scholars who are members of the European COST Action CHIP ME IS1303 (Citizen's Health through public-private Initiatives: Public health, Market and Ethical perspectives) regarding challenges to the feedback of individual genetic results to research participants in Europe and potential strategies to address these challenges. Materials and Methods: A consultation of the COST Action members was conducted through an email survey and a workshop. The results from the consultation were analyzed following a conventional content analysis approach. Results: Legal frameworks, professional guidelines, and financial, organizational, and human resources to support the feedback of results are largely missing in Europe. Necessary steps to facilitate the feedback process include clarifying legal requirements to the feedback of results, developing harmonized European best practices, promoting interdisciplinary and cross-institutional collaboration, designing educational programs and cost-efficient IT-based platforms, involving research ethics committees, and documenting the health benefits and risks of the feedback process. Conclusions: Coordinated efforts at pan-European level are needed to enable equitable, scientifically sound, and socially robust feedback of results to research participants. PMID:27082461

The threshold vs LNT showdown: Dose rate findings exposed flaws in the LNT model part 1. The Russell-Muller debate

DOE Office of Scientific and Technical Information (OSTI.GOV)

Calabrese, Edward J., E-mail: edwardc@schoolph.uma

This paper assesses the discovery of the dose-rate effect in radiation genetics and how it challenged fundamental tenets of the linear non-threshold (LNT) dose response model, including the assumptions that all mutational damage is cumulative and irreversible and that the dose-response is linear at low doses. Newly uncovered historical information also describes how a key 1964 report by the International Commission for Radiological Protection (ICRP) addressed the effects of dose rate in the assessment of genetic risk. This unique story involves assessments by two leading radiation geneticists, Hermann J. Muller and William L. Russell, who independently argued that the report'smore » Genetic Summary Section on dose rate was incorrect while simultaneously offering vastly different views as to what the report's summary should have contained. This paper reveals occurrences of scientific disagreements, how conflicts were resolved, which view(s) prevailed and why. During this process the Nobel Laureate, Muller, provided incorrect information to the ICRP in what appears to have been an attempt to manipulate the decision-making process and to prevent the dose-rate concept from being adopted into risk assessment practices. - Highlights: • The discovery of radiation dose rate challenged the scientific basis of LNT. • Radiation dose rate occurred in males and females. • The dose rate concept supported a threshold dose-response for radiation.« less

Unpacking team process dynamics and emergent phenomena: Challenges, conceptual advances, and innovative methods.

PubMed

Kozlowski, Steve W J; Chao, Georgia T

2018-01-01

Psychologists have studied small-group and team effectiveness for decades, and although there has been considerable progress, there remain significant challenges. Meta-analyses and systematic research have provided solid evidence for core team cognitive, motivational, affective, and behavioral processes that contribute to team effectiveness and empirical support for interventions that enhance team processes (e.g., team design, composition, training, and leadership); there has been substantial evidence for a science of team effectiveness. Nonetheless, there have also been concerns that team processes, which are inherently dynamic, have primarily been assessed as static constructs. Team-level processes and outcomes are multilevel phenomena that emerge, bottom-up from the interactions among team members over time, under the shifting demands of a work context. Thus, theoretical development that appropriately conceptualizes the multiple levels, process dynamics, and emergence of team phenomena over time are essential to advance understanding. Moreover, these conceptual advances necessitate innovative research methodologies to better capture team process dynamics. We explicate this foundation and then describe 2 promising streams of scientific inquiry-team interaction sensors and computational modeling-that are advancing new, unobtrusive measurement techniques and process-oriented research methods focused on understanding the dynamics of cohesion and cognition in teamwork. These are distinct lines of research, each endeavoring to advance the science, but doing so through the development of very different methodologies. We close by discussing the near-term research challenges and the potential long-term evolution of these innovative methods, with an eye toward the future for process-oriented theory and research on team effectiveness. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Adherence to Scientific Method while Advancing Exposure Science

EPA Science Inventory

Paul Lioy was simultaneously a staunch adherent to the scientific method and an innovator of new ways to conduct science, particularly related to human exposure. Current challenges to science and the application of the scientific method are presented as they relate the approaches...

A SCIENTIFIC AND TECHNOLOGICAL FRAMEWORK FOR ENVIRONMENTAL DECISION MAKING

EPA Science Inventory

There are significant scientific and technological challenges to managing natural resources. Data needs are cited as an obvious limitation, but there exist more fundamental scientific issues. What is still needed is a method of comparing management strategies based on projected i...

Questioning the Evidence for a Claim in a Socio-Scientific Issue: An Aspect of Scientific Literacy

ERIC Educational Resources Information Center

Roberts, Ros; Gott, Richard

2010-01-01

Understanding the science in a "socio-scientific issue" is at the heart of the varied definitions of "scientific literacy". Many consider that understanding evidence is necessary to participate in decision making and to challenge the science that affects people's lives. A model is described that links practical work,…

The Crossroads between Biology and Mathematics: The Scientific Method as the Basics of Scientific Literacy

ERIC Educational Resources Information Center

Karsai, Istvan; Kampis, George

2010-01-01

Biology is changing and becoming more quantitative. Research is creating new challenges that need to be addressed in education as well. New educational initiatives focus on combining laboratory procedures with mathematical skills, yet it seems that most curricula center on a single relationship between scientific knowledge and scientific method:…

Virtual Exploitation Environment Demonstration for Atmospheric Missions

NASA Astrophysics Data System (ADS)

Natali, Stefano; Mantovani, Simone; Hirtl, Marcus; Santillan, Daniel; Triebnig, Gerhard; Fehr, Thorsten; Lopes, Cristiano

2017-04-01

The scientific and industrial communities are being confronted with a strong increase of Earth Observation (EO) satellite missions and related data. This is in particular the case for the Atmospheric Sciences communities, with the upcoming Copernicus Sentinel-5 Precursor, Sentinel-4, -5 and -3, and ESA's Earth Explorers scientific satellites ADM-Aeolus and EarthCARE. The challenge is not only to manage the large volume of data generated by each mission / sensor, but to process and analyze the data streams. Creating synergies among the different datasets will be key to exploit the full potential of the available information. As a preparation activity supporting scientific data exploitation for Earth Explorer and Sentinel atmospheric missions, ESA funded the "Technology and Atmospheric Mission Platform" (TAMP) [1] [2] project; a scientific and technological forum (STF) has been set-up involving relevant European entities from different scientific and operational fields to define the platforḿs requirements. Data access, visualization, processing and download services have been developed to satisfy useŕs needs; use cases defined with the STF, such as study of the SO2 emissions for the Holuhraun eruption (2014) by means of two numerical models, two satellite platforms and ground measurements, global Aerosol analyses from long time series of satellite data, and local Aerosol analysis using satellite and LIDAR, have been implemented to ensure acceptance of TAMP by the atmospheric sciences community. The platform pursues the "virtual workspace" concept: all resources (data, processing, visualization, collaboration tools) are provided as "remote services", accessible through a standard web browser, to avoid the download of big data volumes and for allowing utilization of provided infrastructure for computation, analysis and sharing of results. Data access and processing are achieved through standardized protocols (WCS, WPS). As evolution toward a pre-operational environment, the "Virtual Exploitation Environment Demonstration for Atmospheric Missions" (VEEDAM) aims at maintaining, running and evolving the platform, demonstrating e.g. the possibility to perform massive processing over heterogeneous data sources. This work presents the VEEDAM concepts, provides pre-operational examples, stressing on the interoperability achievable exposing standardized data access and processing services (e.g. making accessible data and processing resources from different VREs). [1] TAMP platform landing page http://vtpip.zamg.ac.at/ [2] TAMP introductory video https://www.youtube.com/watch?v=xWiy8h1oXQY

Fighting A Strong Headwind: Challenges in Communicating The Science of Climate Change

NASA Astrophysics Data System (ADS)

Mann, M. E.

2008-12-01

Communicating science to the public is an intrinsic challenge to begin with. An effective communicator must find ways to translate often technical and complex scientific findings for consumption by an audience unfamiliar with the basic tools and lexicon that scientists themselves take for granted. The challenge is made all the more difficult still when the science has implications for public policy, and the scientists face attack by institutions who judge themselves to be at threat by the implications of scientific findings. Such areas of science include (but certainly are not limited to) evolution, stem cell research, environmental health, and the subject of this talk--climate change. In each of these areas, a highly organized, well funded effort has been mounted to attack the science and the scientists themselves. These attacks are rarely fought in legitimate scientific circles such as the peer-reviewed scientific literature or other scholarly venues, but rather through rhetorically-aimed efforts delivered by media outlets aligned with the views of the attackers, and by politicians and groups closely aligned with special interests. I will discuss various approaches to combating such attacks, drawing upon my own experiences in the public arena with regard to the scientific discourse on climate change.

DCMS: A data analytics and management system for molecular simulation.

PubMed

Kumar, Anand; Grupcev, Vladimir; Berrada, Meryem; Fogarty, Joseph C; Tu, Yi-Cheng; Zhu, Xingquan; Pandit, Sagar A; Xia, Yuni

Molecular Simulation (MS) is a powerful tool for studying physical/chemical features of large systems and has seen applications in many scientific and engineering domains. During the simulation process, the experiments generate a very large number of atoms and intend to observe their spatial and temporal relationships for scientific analysis. The sheer data volumes and their intensive interactions impose significant challenges for data accessing, managing, and analysis. To date, existing MS software systems fall short on storage and handling of MS data, mainly because of the missing of a platform to support applications that involve intensive data access and analytical process. In this paper, we present the database-centric molecular simulation (DCMS) system our team developed in the past few years. The main idea behind DCMS is to store MS data in a relational database management system (DBMS) to take advantage of the declarative query interface ( i.e. , SQL), data access methods, query processing, and optimization mechanisms of modern DBMSs. A unique challenge is to handle the analytical queries that are often compute-intensive. For that, we developed novel indexing and query processing strategies (including algorithms running on modern co-processors) as integrated components of the DBMS. As a result, researchers can upload and analyze their data using efficient functions implemented inside the DBMS. Index structures are generated to store analysis results that may be interesting to other users, so that the results are readily available without duplicating the analysis. We have developed a prototype of DCMS based on the PostgreSQL system and experiments using real MS data and workload show that DCMS significantly outperforms existing MS software systems. We also used it as a platform to test other data management issues such as security and compression.

Scientific Basis of the Royal College of Radiologists Fellowship; Illustrated questions and answers

NASA Astrophysics Data System (ADS)

Sperrin, Malcolm

2014-12-01

Science and medicine have long been close partners. This is particularly true in radiology where the availability of imaging techniques is central to diagnosis. However, science is far more than just providing a vehicle for understanding an imaging or therapeutic process. An understanding of the science underlying a process enables the right person to develop new techniques, understand imaging limitations and develop a portfolio of research. A knowledge of scientific principles is also mandated as a result of a need to understand best and safest practice. It is no surprise therefore that radiologists are obliged to study and pass physics exams. Such exams do present a considerable challenge and the authors of this work have set about creating a volume which is intended to be an educational resource and not just a pre-exam 'crammer'. Both authors have considerable experience in teaching, supporting and examining in medical science and have developed an awareness of where those sitting professional exams have traditionally struggled. This text is a distillation of that experience.

Involving Research Stakeholders in Developing Policy on Sharing Public Health Research Data in Kenya

PubMed Central

Jao, Irene; Kombe, Francis; Mwalukore, Salim; Bull, Susan; Parker, Michael; Kamuya, Dorcas; Molyneux, Sassy

2015-01-01

Increased global sharing of public health research data has potential to advance scientific progress but may present challenges to the interests of research stakeholders, particularly in low-to-middle income countries. Policies for data sharing should be responsive to public views, but there is little evidence of the systematic study of these from low-income countries. This qualitative study explored views on fair data-sharing processes among 60 stakeholders in Kenya with varying research experience, using a deliberative approach. Stakeholders’ attitudes were informed by perceptions of benefit and concerns for research data sharing, including risks of stigmatization, loss of privacy, and undermining scientific careers and validity, reported in detail elsewhere. In this article, we discuss institutional trust-building processes seen as central to perceptions of fairness in sharing research data in this setting, including forms of community involvement, individual prior awareness and agreement to data sharing, independence and accountability of governance mechanisms, and operating under a national framework. PMID:26297748

Advancing the Evidence Base of Rehabilitation Treatments: A Developmental Approach

PubMed Central

Whyte, John; Barrett, A.M.

2013-01-01

Translational research refers to the development of new scientific discoveries into evidence-based treatments for human diseases and conditions. This developmental process requires that a number of scientific, as well as social and psychological obstacles, be overcome during a sequence of research stages that address different goals. Rehabilitation, like other biomedical disciplines, requires this kind of developmental process. For a variety of reasons, however, development of rehabilitation treatments is less linear than the familiar phases of pharmaceutical research. In addition, research on treatments intended to address impairments (body structure/function, in terms of the International Classification of Functioning, Disability and Health), faces the challenge of determining the likely impact of an impairment-level treatment on the multifaceted activities and aspects of participation that are the typical goals of rehabilitation treatments. This article describes the application of treatment theory and enablement theory to the development of new impairment-based treatments, and examines similarities and differences between the developmental sequence needed for rehabilitation treatment research versus pharmaceutical research in other areas of medicine. PMID:22683206

Research briefing on high-temperature superconductivity

NASA Astrophysics Data System (ADS)

1987-10-01

The research briefing was prepared in response to the exciting developments in superconductivity in ceramic oxide materials announced earlier in 1987. The panel's specific charge was to examine not only the scientific opportunities in high-temperature superconductivity but also the barriers to commercial exploitation. While the base of experimental knowledge on the superconductors is growing rapidly, there is as yet no generally accepted theoretical explanation of their behavior. The fabrication and processing challenges presented by the materials suggest that the period or precommercial exploration for applications will probably extend for a decade or more. Near term prospects for applications include magnetic shielding, the voltage standard, superconducting quantum interference devices, infrared sensors, microwave devices, and analog signal processing. The panel also identified a number of longer-term prospects in high-field and large-scale applications, and in electronics. The United States' competitive position in the field is discussed, major scientific and technological objectives for research and development identified, and concludes with a series of recommendations.

The Challenge of Evaluating Students' Scientific Literacy in a Writing-to-Learn Context

ERIC Educational Resources Information Center

Tomas, Louisa; Ritchie, Stephen M.

2015-01-01

This paper reports on the challenge of evaluating students' scientific literacy in a writing-to-learn context, as illustrated by our experience with an online science-writing project. In this mixed methods study, year 9 students in a case study class (13-14 year olds, n?=?26) authored a series of two "hybridised" short stories that…

Towards writing the encyclopaedia of life: an introduction to DNA barcoding

PubMed Central

Savolainen, Vincent; Cowan, Robyn S; Vogler, Alfried P; Roderick, George K; Lane, Richard

2005-01-01

An international consortium of major natural history museums, herbaria and other organizations has launched an ambitious project, the ‘Barcode of Life Initiative’, to promote a process enabling the rapid and inexpensive identification of the estimated 10 million species on Earth. DNA barcoding is a diagnostic technique in which short DNA sequence(s) can be used for species identification. The first international scientific conference on Barcoding of Life was held at the Natural History Museum in London in February 2005, and here we review the scientific challenges discussed during this conference and in previous publications. Although still controversial, the scientific benefits of DNA barcoding include: (i) enabling species identification, including any life stage or fragment, (ii) facilitating species discoveries based on cluster analyses of gene sequences (e.g. cox1=CO1, in animals), (iii) promoting development of handheld DNA sequencing technology that can be applied in the field for biodiversity inventories and (iv) providing insight into the diversity of life. PMID:16214739

NASA's Constellation Program

NASA Technical Reports Server (NTRS)

Baumeister, Joseph

2009-01-01

NASA has established 6 Themes for Exploration: 1) USE THE MOON: Reduce risks and cost and increase productivity of future missions by testing technologies, systems, and operations in a planetary environment other than the Earth. 2) PURSUE SCIENTIFIC: Engage in scientific investigations of the Moon (solar system processes), on the Moon (use the unique environment), and from the Moon (to study other celestial phenomena). 3) EXTEND PERMANENT HUMAN PRESENCE: Develop the capabilities and infrastructure required to expand the number of people, the duration, the self-sufficiency, and the degree of non-governmental activity. 4) EXPAND EARTH S ECONOMIC SPHERE: Create new markets based on lunar activity that will return economic, technological, and quality-of-life benefits. 5) ENHANCE GLOBAL SECURTIY: Provide a challenging, shared, and peaceful global vision that unites nations in pursuit of common objectives. 6) ENGAGE, INSPIRE: Excite the public about space, encourage students to pursue careers in high technology fields, ensure that individuals enter the workforce with the scientific and technical knowledge necessary to sustain exploration.

Social justice pedagogies and scientific knowledge: Remaking citizenship in the non-science classroom

NASA Astrophysics Data System (ADS)

Lehr, Jane L.

This dissertation contributes to efforts to rethink the meanings of democracy, scientific literacy, and non-scientist citizenship in the United States. Beginning with questions that emerged from action research and exploring the socio-political forces that shape educational practices, it shows why non-science educators who teach for social justice must first recognize formal science education as a primary site of training for (future) non-scientist citizens and then prepare to intervene in the dominant model of scientifically literate citizenship offered by formal science education. This model of citizenship defines (and limits) appropriate behavior for non-scientist citizens as acquiescing to the authority of science and the state by actively demarcating science from non-science, experts from non-experts, and the rational from the irrational. To question scientific authority is to be scientifically illiterate. This vision of 'acquiescent democracy' seeks to end challenges to the authority of science and the state by ensuring that scientific knowledge is privileged in all personal and public decision-making practices, producing a situation in which it becomes natural for non-scientist citizens to enroll scientific knowledge to naturalize oppression within our schools and society. It suggests that feminist and equity-oriented science educators, by themselves, are unable or unwilling to challenge certain assumptions in the dominant model of scientifically literate citizenship. Therefore, it is the responsibility of non-science educators who teach for social justice to articulate oppositional models of non-scientist citizenship and democracy in their classrooms and to challenge the naturalized authority of scientific knowledge in all aspects of our lives. It demonstrates how research in the field of Science & Technology Studies can serve as one resource in our efforts to intervene in the dominant model of scientifically literate citizenship and to support a model of democracy that encourages the critical engagement of and opposition to scientific knowledge and the state.

Gaming science: the "Gamification" of scientific thinking.

PubMed

Morris, Bradley J; Croker, Steve; Zimmerman, Corinne; Gill, Devin; Romig, Connie

2013-09-09

Science is critically important for advancing economics, health, and social well-being in the twenty-first century. A scientifically literate workforce is one that is well-suited to meet the challenges of an information economy. However, scientific thinking skills do not routinely develop and must be scaffolded via educational and cultural tools. In this paper we outline a rationale for why we believe that video games have the potential to be exploited for gain in science education. The premise we entertain is that several classes of video games can be viewed as a type of cultural tool that is capable of supporting three key elements of scientific literacy: content knowledge, process skills, and understanding the nature of science. We argue that there are three classes of mechanisms through which video games can support scientific thinking. First, there are a number of motivational scaffolds, such as feedback, rewards, and flow states that engage students relative to traditional cultural learning tools. Second, there are a number of cognitive scaffolds, such as simulations and embedded reasoning skills that compensate for the limitations of the individual cognitive system. Third, fully developed scientific thinking requires metacognition, and video games provide metacognitive scaffolding in the form of constrained learning and identity adoption. We conclude by outlining a series of recommendations for integrating games and game elements in science education and provide suggestions for evaluating their effectiveness.

Gaming science: the “Gamification” of scientific thinking

PubMed Central

Morris, Bradley J.; Croker, Steve; Zimmerman, Corinne; Gill, Devin; Romig, Connie

2013-01-01

Science is critically important for advancing economics, health, and social well-being in the twenty-first century. A scientifically literate workforce is one that is well-suited to meet the challenges of an information economy. However, scientific thinking skills do not routinely develop and must be scaffolded via educational and cultural tools. In this paper we outline a rationale for why we believe that video games have the potential to be exploited for gain in science education. The premise we entertain is that several classes of video games can be viewed as a type of cultural tool that is capable of supporting three key elements of scientific literacy: content knowledge, process skills, and understanding the nature of science. We argue that there are three classes of mechanisms through which video games can support scientific thinking. First, there are a number of motivational scaffolds, such as feedback, rewards, and flow states that engage students relative to traditional cultural learning tools. Second, there are a number of cognitive scaffolds, such as simulations and embedded reasoning skills that compensate for the limitations of the individual cognitive system. Third, fully developed scientific thinking requires metacognition, and video games provide metacognitive scaffolding in the form of constrained learning and identity adoption. We conclude by outlining a series of recommendations for integrating games and game elements in science education and provide suggestions for evaluating their effectiveness. PMID:24058354

Video Creation: A Tool for Engaging Students to Learn Science

NASA Astrophysics Data System (ADS)

Courtney, A. R.

2016-12-01

Students today process information very differently than those of previous generations. They are used to getting their news from 140-character tweets, being entertained by You-Tube videos, and Googling everything. Thus, traditional passive methods of content delivery do not work well for many of these millennials. All students, regardless of career goals, need to become scientifically literate to be able to function in a world where scientific issues are of increasing importance. Those who have had experience applying scientific reasoning to real-world problems in the classroom will be better equipped to make informed decisions in the future. The problem to be solved is how to present scientific content in a manner that fosters student learning in today's world. This presentation will describe how the appeal of technology and social communication via creation of documentary-style videos has been used to engage students to learn scientific concepts in a university non-science major course focused on energy and the environment. These video projects place control of the learning experience into the hands of the learner and provide an opportunity to develop critical thinking skills. Students discover how to locate scientifically reliable information by limiting searches to respected sources and synthesize the information through collaborative content creation to generate a "story". Video projects have a number of advantages over research paper writing. They allow students to develop collaboration skills and be creative in how they deliver the scientific content. Research projects are more effective when the audience is larger than just a teacher. Although our videos are used as peer-teaching tools in the classroom, they also are shown to a larger audience in a public forum to increase the challenge. Video will be the professional communication tool of the future. This presentation will cover the components of the video production process and instructional lessons learned over a seven-year period.

Scientific Research: What it Means to Me

PubMed Central

Narlikar, Jayant V.

2008-01-01

This article gives a personal perception of the author, of what scientific research means. Citing examples from the lives of all time greats like Newton, Kelvin and Maxwell he stresses the agonies of thinking up new ideas, the urge for creativity and the pleasure one derives from the process when it is completed. He then narrates instances from his own life that proved inspirational towards his research career. In his early studenthood, his parents and maternal uncle had widened his intellectual horizons while in later life his interaction with Fred Hoyle made him take up research challenges away from the beaten path. He concludes that taking up an anti-Establishment stand in research can create many logistical difficulties, but the rewards of success are all the more pleasing. PMID:22013355

Three decades of MSM donor deferral policies. What have we learned?

PubMed

Wilson, Kumanan; Atkinson, Katherine; Keelan, Jennifer

2014-01-01

In the early 1980s, donor deferrals targeting men who have sex with men (MSM) and other high-risk groups were implemented in response to the outbreak of HIV/AIDS. It has now been three decades since the implementation of these deferrals. We review the international experience with developing these policies, which involves combining scientific evidence with ethical and moral concerns and the challenge of moving from precautionary to risk management policies as scientific knowledge and technology evolves. We provide key lessons that can guide blood policymakers as they confront potential new threats to the safety of the blood system and also provide lessons to the wider public health community on how best to incorporate precaution into the policymaking process. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Merging Electronic Health Record Data and Genomics for Cardiovascular Research

PubMed Central

Hall, Jennifer L.; Ryan, John J.; Bray, Bruce E.; Brown, Candice; Lanfear, David; Newby, L. Kristin; Relling, Mary V.; Risch, Neil J.; Roden, Dan M.; Shaw, Stanley Y.; Tcheng, James E.; Tenenbaum, Jessica; Wang, Thomas N.; Weintraub, William S.

2017-01-01

The process of scientific discovery is rapidly evolving. The funding climate has influenced a favorable shift in scientific discovery toward the use of existing resources such as the electronic health record. The electronic health record enables long-term outlooks on human health and disease, in conjunction with multidimensional phenotypes that include laboratory data, images, vital signs, and other clinical information. Initial work has confirmed the utility of the electronic health record for understanding mechanisms and patterns of variability in disease susceptibility, disease evolution, and drug responses. The addition of biobanks and genomic data to the information contained in the electronic health record has been demonstrated. The purpose of this statement is to discuss the current challenges in and the potential for merging electronic health record data and genomics for cardiovascular research. PMID:26976545

CLIVAR Asian-Australian Monsoon Panel Report to Scientific Steering Group-18

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sperber, Ken R.; Hendon, Harry H.

2011-05-04

These are a set of slides on CLIVAR Asian-Australian Monsoon Panel Report to Scientific Steering Group-18. These are the major topics covered within: major activities over the past year, AAMP Monsoon Diagnostics/Metrics Task Team, Boreal Summer Asian Monsoon, Workshop on Modelling Monsoon Intraseasonal Variability, Workshop on Interdecadal Variability and Predictability of the Asian-Australian Monsoon, Evidence of Interdecadal Variability of the Asian-Australian Monsoon, Development of MJO metrics/process-oriented diagnostics/model evaluation/prediction with MJOTF and GCSS, YOTC MJOTF, GEWEX GCSS, AAMP MJO Diabatic Heating Experiment, Hindcast Experiment for Intraseasonal Prediction, Support and Coordination for CINDY2011/DYNAMO, Outreach to CORDEX, Interaction with FOCRAII, WWRP/WCRP Multi-Week Predictionmore » Project, Major Future Plans/Activities, Revised AAMP Terms of Reference, Issues and Challenges.« less

Cultivating Citizen Scientists in the Undergraduate Science Classroom

NASA Astrophysics Data System (ADS)

Egger, A. E.

2007-12-01

Several studies indicate a strong correlation between the number of college science courses and science literacy. It is not surprising, then, that the majority of participants in citizen science projects are college graduates who enrolled in at least two science courses. If one goal of citizen science projects is to increase civic science literacy, research suggests that most are preaching to the choir. Attracting a wider audience to citizen science is, therefore, a key challenge. One way to address this challenge is to attract students to enroll and succeed in science courses in college, even if they do not pursue a major in the science, technology, engineering, and mathematics (STEM) disciplines. In fact, only 20% of students receive a degree in STEM, yet virtually all undergraduates are required to take at least one science course. Introductory science courses are therefore critical to cultivating citizen scientists, as they include a large proportion of non- STEM majors. Indeed, a major thrust of recent undergraduate STEM educational reform has been the promotion of 'science for all'. The science for all concept goes beyond recruiting students into the STEM disciplines to promoting a level of scientific literacy necessary to make informed decisions. A clear implication of this inclusive attitude is the need to redesign introductory science courses to make them accessible and explicitly related to scientific literacy. This does not mean dumbing down courses; on the contrary, it means engaging students in real scientific investigations and incorporating explicit teaching about the process of science, thus fostering a lifelong appreciation for (and, hopefully, participation in) science. Unfortunately, many students enter college with minimal understanding of the process of science. And when they arrive in their introductory classes, science is presented to them as a system of facts to be memorized - comparable to memorizing a poem in a foreign language without understanding the vocabulary. New resources available through the Visionlearning project (http://www.visionlearning.com) provide the means to incorporate teaching about the process of science into disciplinary content, thus facilitating the reform the way that undergraduate students are taught science at the introductory level. This kind of educational reform may be a long-term approach to developing citizen scientists, but research from several different disciplines and perspectives suggests it is a critical step in building scientific literacy and lifelong participation in science.

A novel process for integrating patient stories into patient education interventions: incorporating lessons from theater arts.

PubMed

Fix, Gemmae M; Houston, Thomas K; Barker, Anna M; Wexler, Laura; Cook, Natasha; Volkman, Julie E; Bokhour, Barbara G

2012-09-01

Patient narratives, or stories, are an effective means of educating patients because they increase personal relevance and may reduce counter-arguing. However, such stories must seamlessly combine evidenced-based health information while being true to real patient experiences. The purpose of this paper is to describe the process of developing an educational intervention using African-American patients' success stories controlling hypertension. We identified a process to address stories development challenges. (1) To help identify story tellers, we conducted a literature review and subsequently streamlined the process of storyteller identification through screening and telephone interviews. (2) To better elicit stories, we consulted with experts in storytelling and incorporated principles from theater. (3) To select stories, we used intervention mapping to map the intervention to theory and key clinical concepts, and also engaged members of the target community to ensure scientific criteria and maintain authenticity. Using personal narratives as intervention requires weaving together science, theory and clinically sound content, while still being true to the art of storytelling. Through a careful process of identifying storytellers and story selection and drawing upon theater arts, creating stories for intervention can be streamlined while meeting the goals of authenticity and scientific soundness. Published by Elsevier Ireland Ltd.

MSL: Facilitating automatic and physical analysis of published scientific literature in PDF format

PubMed Central

Ahmed, Zeeshan; Dandekar, Thomas

2018-01-01

Published scientific literature contains millions of figures, including information about the results obtained from different scientific experiments e.g. PCR-ELISA data, microarray analysis, gel electrophoresis, mass spectrometry data, DNA/RNA sequencing, diagnostic imaging (CT/MRI and ultrasound scans), and medicinal imaging like electroencephalography (EEG), magnetoencephalography (MEG), echocardiography  (ECG), positron-emission tomography (PET) images. The importance of biomedical figures has been widely recognized in scientific and medicine communities, as they play a vital role in providing major original data, experimental and computational results in concise form. One major challenge for implementing a system for scientific literature analysis is extracting and analyzing text and figures from published PDF files by physical and logical document analysis. Here we present a product line architecture based bioinformatics tool ‘Mining Scientific Literature (MSL)’, which supports the extraction of text and images by interpreting all kinds of published PDF files using advanced data mining and image processing techniques. It provides modules for the marginalization of extracted text based on different coordinates and keywords, visualization of extracted figures and extraction of embedded text from all kinds of biological and biomedical figures using applied Optimal Character Recognition (OCR). Moreover, for further analysis and usage, it generates the system’s output in different formats including text, PDF, XML and images files. Hence, MSL is an easy to install and use analysis tool to interpret published scientific literature in PDF format. PMID:29721305

Earth Science Informatics Community Requirements for Improving Sustainable Science Software Practices: User Perspectives and Implications for Organizational Action

NASA Astrophysics Data System (ADS)

Downs, R. R.; Lenhardt, W. C.; Robinson, E.

2014-12-01

Science software is integral to the scientific process and must be developed and managed in a sustainable manner to ensure future access to scientific data and related resources. Organizations that are part of the scientific enterprise, as well as members of the scientific community who work within these entities, can contribute to the sustainability of science software and to practices that improve scientific community capabilities for science software sustainability. As science becomes increasingly digital and therefore, dependent on software, improving community practices for sustainable science software will contribute to the sustainability of science. Members of the Earth science informatics community, including scientific data producers and distributers, end-user scientists, system and application developers, and data center managers, use science software regularly and face the challenges and the opportunities that science software presents for the sustainability of science. To gain insight on practices needed for the sustainability of science software from the science software experiences of the Earth science informatics community, an interdisciplinary group of 300 community members were asked to engage in simultaneous roundtable discussions and report on their answers to questions about the requirements for improving scientific software sustainability. This paper will present an analysis of the issues reported and the conclusions offered by the participants. These results provide perspectives for science software sustainability practices and have implications for actions that organizations and their leadership can initiate to improve the sustainability of science software.

Summary: achievements, critical issues, and thoughts on the future.

PubMed

Held, Kathryn D

2012-11-01

The number of individuals exposed to particle radiations in cancer treatment worldwide is increasing rapidly, and space agencies are developing plans for long duration, deep space missions in which humans could be exposed to significant levels of radiation from charged particles. Hence, the NCRP 47 th Annual Meeting on "Scientific and Policy Challenges of Particle Radiations in Medical Therapy and Space Missions" was a timely opportunity to showcase the current scientific knowledge regarding charged particles, enhance cross-fertilization between the oncology and space scientific communities, and identify common needs and challenges to both communities as well as ways to address those challenges. This issue of Health Physics contains papers from talks presented at that meeting and highlights provocative questions and the ample opportunities for synergism between space and particle-therapy research to further understanding of the biological impacts of particle radiations.

Representing biophysical landscape interactions in soil models by bridging disciplines and scales.

NASA Astrophysics Data System (ADS)

van der Ploeg, M. J.; Carranza, C.; Teixeira da Silva, R.; te Brake, B.; Baartman, J.; Robinson, D.

2017-12-01

The combination of climate change, population growth and soil threats including carbon loss, biodiversity decline and erosion, increasingly confront the global community (Schwilch et al., 2016). One major challenge in studying processes involved in soil threats, landscape resilience, ecosystem stability, sustainable land management and resulting economic consequences, is that it is an interdisciplinary field (Pelletier et al., 2012). Less stringent scientific disciplinary boundaries are therefore important (Liu et al., 2007), because as a result of disciplinary focus, ambiguity may arise on the understanding of landscape interactions. This is especially true in the interaction between a landscape's physical and biological processes (van der Ploeg et al. 2012). Biophysical landscape interactions are those biotic and abiotic processes in a landscape that have an influence on the developments within and evolution of a landscape. An important aspect in biophysical landscape interactions is the differences in scale related to the various processes that play a role in these systems. Moreover, the interplay between the physical landscape and the occurring vegetation, which often co-evolve, and the resulting heterogeneity and emerging patterns are the reason why it is so challenging to establish a theoretical basis to describe biophysical processes in landscapes (e.g. te Brake et al. 2013, Robinson et al. 2016). Another complicating factor is the response of vegetation to changing environmental conditions, including a possible, and often unknown, time-lag (e.g. Metzger et al., 2009). An integrative description for modelling biophysical interactions has been a long standing goal in soil science (Vereecken et al., 2016). We need the development of soil models that are more focused on networks, connectivity and feedbacks incorporating the most important aspects of our detailed mechanistic modelling (Paola & Leeder, 2011). Additionally, remote sensing measurement techniques facilitate non-interfering observation of biophysical interactions on a landscape scale. A joint effort to connect Earth's (sub)surface processes by a combination of innovative big data-assimilation, measurement and modelling techniques will enable the scientific community to accurately address vital issues.

Expanding the use of Scientific Data through Maps and Apps

NASA Astrophysics Data System (ADS)

Shrestha, S. R.; Zimble, D. A.; Herring, D.; Halpert, M.

2014-12-01

The importance of making scientific data more available can't be overstated. There is a wealth of useful scientific data available and demand for this data is only increasing; however, applying scientific data towards practical uses poses several technical challenges. These challenges can arise from difficulty in handling the data due largely to 1) the complexity, variety and volume of scientific data and 2) applying and operating the techniques and tools needed to visualize and analyze the data. As a result, the combined knowledge required to take advantage of these data requires highly specialized skill sets that in total, limit the ability of scientific data from being used in more practical day-to-day decision making activities. While these challenges are daunting, information technologies do exist that can help mitigate some of these issues. Many organizations for years have already been enjoying the benefits of modern service oriented architectures (SOAs) for everyday enterprise tasks. We can use this approach to modernize how we share and access our scientific data where much of the specialized tools and techniques needed to handle and present scientific data can be automated and executed by servers and done so in an appropriate way. We will discuss and show an approach for preparing file based scientific data (e.g. GRIB, netCDF) for use in standard based scientific web services. These scientific web services are able to encapsulate the logic needed to handle and describe scientific data through a variety of service types including, image, map, feature, geoprocessing, and their respective service methods. By combining these types of services and leveraging well-documented and modern web development APIs, we can afford to focus our attention on the design and development of user-friendly maps and apps. Our scenario will include developing online maps through these services by integrating various forecast data from the Climate Forecast System (CFSv2). This presentation showcases a collaboration between the National Oceanic and Atmospheric Administration's (NOAA) Climate.gov portal, Climate Prediction Center and Esri, Inc. on the implementation of the ArcGIS platform, which is aimed at helping modernize scientific data access through a service oriented architecture.

A SCIENTIFIC AND TECHNOLOGICAL FRAMEWORK FOR EVALUATING COMPARATIVE RISK IN ECOLOGICAL RISK ASSESSMENTS

EPA Science Inventory

There are significant scientific and technological challenges to managing natural resources. Data needs are cited as an obvious limitation, but there exist more fundamental scientific issues. What is still needed is a method of comparing management strategies based on projected i...

The challenge of scientific activities in wilderness

Treesearch

David J. Parsons

2000-01-01

Science is an appropriate and necessary use of wilderness. The long-term protection of wilderness, including decisions related to the planning and management of wilderness resources, use and values, requires an understanding often available only through scientific investigation. In addition, wilderness provides opportunities for scientific understanding not available...

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System.

PubMed

Friedman, Charles; Rubin, Joshua; Brown, Jeffrey; Buntin, Melinda; Corn, Milton; Etheredge, Lynn; Gunter, Carl; Musen, Mark; Platt, Richard; Stead, William; Sullivan, Kevin; Van Houweling, Douglas

2015-01-01

The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale--marrying technology, process, and policy--is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11-12 April 2013. The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a 'new science of learning systems', create an important agenda for informatics and related disciplines. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

PubMed Central

Friedman, Charles; Rubin, Joshua; Brown, Jeffrey; Buntin, Melinda; Corn, Milton; Etheredge, Lynn; Gunter, Carl; Musen, Mark; Platt, Richard; Stead, William; Sullivan, Kevin; Van Houweling, Douglas

2015-01-01

Objective The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale—marrying technology, process, and policy—is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. Materials and methods The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11–12 April 2013. Results The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. Conclusions The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a ‘new science of learning systems’, create an important agenda for informatics and related disciplines. PMID:25342177

Data Access, Interoperability and Sustainability: Key Challenges for the Evolution of Science Capabilities

NASA Astrophysics Data System (ADS)

Walton, A. L.

2015-12-01

In 2016, the National Science Foundation (NSF) will support a portfolio of activities and investments focused upon challenges in data access, interoperability, and sustainability. These topics are fundamental to science questions of increasing complexity that require multidisciplinary approaches and expertise. Progress has become tractable because of (and sometimes complicated by) unprecedented growth in data (both simulations and observations) and rapid advances in technology (such as instrumentation in all aspects of the discovery process, together with ubiquitous cyberinfrastructure to connect, compute, visualize, store, and discover). The goal is an evolution of capabilities for the research community based on these investments, scientific priorities, technology advances, and policies. Examples from multiple NSF directorates, including investments by the Advanced Cyberinfrastructure Division, are aimed at these challenges and can provide the geosciences research community with models and opportunities for participation. Implications for the future are highlighted, along with the importance of continued community engagement on key issues.

[Urban shrinkage and challenges for the public health-care service].

PubMed

Kabisch, S

2007-10-01

In the 21st century, urban development is facing new challenges caused by the simultaneous growing and shrinking of cities and urban regions. Whilst the development patterns and instruments of urban growth are well-known and widely accepted, the processes of shrinkage with its broad consequences, sphere of impact and speed need intensive investigation. In particular, urban restructuring including housing demolition brings about psychological stress situations for the affected inhabitants. Until the present time public services, including health-care, are poorly prepared to cope with the new situation. To take account of these new challenges, the adaptation of tasks, instruments and targets is urgently needed. To be successful, a continuous cooperation and communication between municipal institutions and housing enterprises responsible for urban and housing development is indispensable. Furthermore, appropriately focussed scientific research results can support the creation of adequate strategies and instruments.

Engineering of the LISA Pathfinder mission—making the experiment a practical reality

NASA Astrophysics Data System (ADS)

Warren, Carl; Dunbar, Neil; Backler, Mike

2009-05-01

LISA Pathfinder represents a unique challenge in the development of scientific spacecraft—not only is the LISA Test Package (LTP) payload a complex integrated development, placing stringent requirements on its developers and the spacecraft, but the payload also acts as the core sensor and actuator for the spacecraft, making the tasks of control design, software development and system verification unusually difficult. The micro-propulsion system which provides the remaining actuation also presents substantial development and verification challenges. As the mission approaches the system critical design review, flight hardware is completing verification and the process of verification using software and hardware simulators and test benches is underway. Preparation for operations has started, but critical milestones for LTP and field effect electric propulsion (FEEP) lie ahead. This paper summarizes the status of the present development and outlines the key challenges that must be overcome on the way to launch.

How does the World Trade Organization know? The mobilization and staging of scientific expertise in the GMO trade dispute.

PubMed

Bonneuil, Christophe; Levidow, Les

2012-02-01

The World Trade Organization (WTO) dispute settlement procedure is a key arena for establishing global legal norms for what counts as relevant knowledge. As a high-profile case, the WTO trade dispute on GMOs mobilized scientific expertise in somewhat novel ways. Early on, the Panel put the dispute under the Sanitary and Phytosanitary (SPS) Agreement through a new legal ontology; it classified transgenes as potential pests and limited all environmental issues to the 'plant and animal health' category. The selection of scientific experts sought a multi-party consensus through a fast adversarial process, reflecting a specific legal epistemology. For the SPS framing, focusing on the defendant's regulatory procedures, the Panel staged scientific expertise in specific ways that set up how experts were questioned, the answers they would give, their specific role in the legal arena, and the way their statements would complement the Panel's findings. In these ways, the dispute settlement procedure co-produced legal and scientific expertise within the Panel's SPS framework. Moreover, the Panel operated a procedural turn in WTO jurisprudence by representing its findings as a purely legal-administrative judgement on whether the EC's regulatory procedures violated the SPS Agreement, while keeping implicit its own judgements on substantive risk issues. As this case illustrates, the WTO settlement procedure mobilizes scientific expertise for sophisticated, multiple aims: it recruits a source of credibility from the scientific arena, thus reinforcing the standard narrative of 'science-based trade discipline', while also constructing new scientific expertise for the main task--namely, challenging trade restrictions for being unduly cautious.

Solving challenges in inter- and trans-disciplinary working teams: Lessons from the surgical technology field.

PubMed

Korb, Werner; Geißler, Norman; Strauß, Gero

2015-03-01

Engineering a medical technology is a complex process, therefore it is important to include experts from different scientific fields. This is particularly true for the development of surgical technology, where the relevant scientific fields are surgery (medicine) and engineering (electrical engineering, mechanical engineering, computer science, etc.). Furthermore, the scientific field of human factors is important to ensure that a surgical technology is indeed functional, process-oriented, effective, efficient as well as user- and patient-oriented. Working in such trans- and inter-disciplinary teams can be challenging due to different working cultures. The intention of this paper is to propose an innovative cooperative working culture for the interdisciplinary field of computer-assisted surgery (CAS) based on more than ten years of research on the one hand and the interdisciplinary literature on working cultures and various organizational theories on the other hand. In this paper, a retrospective analysis of more than ten years of research work in inter- and trans-disciplinary teams in the field of CAS will be performed. This analysis is based on the documented observations of the authors, the study reports, protocols, lab reports and published publications. To additionally evaluate the scientific experience in an interdisciplinary research team, a literature analysis regarding scientific literature on trans- and inter-disciplinarity was performed. Own research and literature analyses were compared. Both the literature and the scientific experience in an interdisciplinary research team show that consensus finding is not always easy. It is, however, important to start trans- and interdisciplinary projects with a shared mental model and common goals, which include communication and leadership issues within the project teams, i.e. clear and unambiguous information about the individual responsibilities and objectives to attain. This is made necessary due to differing leadership cultures within the cooperating disciplines. Another research outcome is the relevance of a cooperative learning culture throughout the complete duration of the project. Based on this cooperation, new ideas and projects were developed, i.e. a training concept for surgical trainers including technological competence for surgeons. An adapted innovative paradigm for a cooperating working culture in CAS is based on a shared mental model and common goals from the very beginning of a project. All actors in trans- and inter-disciplinary teams need to be interested in cooperation. This will lead to a common view on patients and technology models. Copyright © 2015 Elsevier B.V. All rights reserved.

Software for visualization, analysis, and manipulation of laser scan images

NASA Astrophysics Data System (ADS)

Burnsides, Dennis B.

1997-03-01

The recent introduction of laser surface scanning to scientific applications presents a challenge to computer scientists and engineers. Full utilization of this two- dimensional (2-D) and three-dimensional (3-D) data requires advances in techniques and methods for data processing and visualization. This paper explores the development of software to support the visualization, analysis and manipulation of laser scan images. Specific examples presented are from on-going efforts at the Air Force Computerized Anthropometric Research and Design (CARD) Laboratory.

Developing international open science collaborations: Funder reflections on the Open Science Prize.

PubMed

Kittrie, Elizabeth; Atienza, Audie A; Kiley, Robert; Carr, David; MacFarlane, Aki; Pai, Vinay; Couch, Jennifer; Bajkowski, Jared; Bonner, Joseph F; Mietchen, Daniel; Bourne, Philip E

2017-08-01

The Open Science Prize was established with the following objectives: first, to encourage the crowdsourcing of open data to make breakthroughs that are of biomedical significance; second, to illustrate that funders can indeed work together when scientific interests are aligned; and finally, to encourage international collaboration between investigators with the intent of achieving important innovations that would not be possible otherwise. The process for running the competition and the successes and challenges that arose are presented.

Developing international open science collaborations: Funder reflections on the Open Science Prize

PubMed Central

Kittrie, Elizabeth; Atienza, Audie A.; Kiley, Robert; Carr, David; MacFarlane, Aki; Pai, Vinay; Couch, Jennifer; Bajkowski, Jared; Bonner, Joseph F.; Mietchen, Daniel

2017-01-01

The Open Science Prize was established with the following objectives: first, to encourage the crowdsourcing of open data to make breakthroughs that are of biomedical significance; second, to illustrate that funders can indeed work together when scientific interests are aligned; and finally, to encourage international collaboration between investigators with the intent of achieving important innovations that would not be possible otherwise. The process for running the competition and the successes and challenges that arose are presented. PMID:28763440

NREL Spectrum of Innovation

DOE Office of Scientific and Technical Information (OSTI.GOV)

None

2011-02-25

There are many voices calling for a future of abundant clean energy. The choices are difficult and the challenges daunting. How will we get there? The National Renewable Energy Laboratory integrates the entire spectrum of innovation including fundamental science, market relevant research, systems integration, testing and validation, commercialization and deployment. The innovation process at NREL is interdependent and iterative. Many scientific breakthroughs begin in our own laboratories, but new ideas and technologies come to NREL at any point along the innovation spectrum to be validated and refined for commercial use.

Laboratory Directed Research and Development Annual Report - Fiscal Year 2000

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fisher, Darrell R.; Hughes, Pamela J.; Pearson, Erik W.

The projects described in this report represent the Laboratory's investment in its future and are vital to maintaining the ability to develop creative solutions for the scientific and technical challenges faced by DOE and the nation. In accordance with DOE guidelines, the report provides, a) a director's statement, b) an overview of the laboratory's LDRD program, including PNNL's management process and a self-assessment of the program, c) a five-year project funding table, and d) project summaries for each LDRD project.

NREL Spectrum of Innovation

ScienceCinema

None

2018-05-11

There are many voices calling for a future of abundant clean energy. The choices are difficult and the challenges daunting. How will we get there? The National Renewable Energy Laboratory integrates the entire spectrum of innovation including fundamental science, market relevant research, systems integration, testing and validation, commercialization and deployment. The innovation process at NREL is interdependent and iterative. Many scientific breakthroughs begin in our own laboratories, but new ideas and technologies come to NREL at any point along the innovation spectrum to be validated and refined for commercial use.

Zombie algorithms: a timesaving remote sensing systems engineering tool

NASA Astrophysics Data System (ADS)

Ardanuy, Philip E.; Powell, Dylan C.; Marley, Stephen

2008-08-01

In modern horror fiction, zombies are generally undead corpses brought back from the dead by supernatural or scientific means, and are rarely under anyone's direct control. They typically have very limited intelligence, and hunger for the flesh of the living [1]. Typical spectroradiometric or hyperspectral instruments providess calibrated radiances for a number of remote sensing algorithms. The algorithms typically must meet specified latency and availability requirements while yielding products at the required quality. These systems, whether research, operational, or a hybrid, are typically cost constrained. Complexity of the algorithms can be high, and may evolve and mature over time as sensor characterization changes, product validation occurs, and areas of scientific basis improvement are identified and completed. This suggests the need for a systems engineering process for algorithm maintenance that is agile, cost efficient, repeatable, and predictable. Experience on remote sensing science data systems suggests the benefits of "plug-n-play" concepts of operation. The concept, while intuitively simple, can be challenging to implement in practice. The use of zombie algorithms-empty shells that outwardly resemble the form, fit, and function of a "complete" algorithm without the implemented theoretical basis-provides the ground systems advantages equivalent to those obtained by integrating sensor engineering models onto the spacecraft bus. Combined with a mature, repeatable process for incorporating the theoretical basis, or scientific core, into the "head" of the zombie algorithm, along with associated scripting and registration, provides an easy "on ramp" for the rapid and low-risk integration of scientific applications into operational systems.

The Grand Challenges Discourse: Transforming Identity Work in Science and Science Policy.

PubMed

Kaldewey, David

2018-01-01

This article analyzes the concept of "grand challenges" as part of a shift in how scientists and policymakers frame and communicate their respective agendas. The history of the grand challenges discourse helps to understand how identity work in science and science policy has been transformed in recent decades. Furthermore, the question is raised whether this discourse is only an indicator, or also a factor in this transformation. Building on conceptual history and historical semantics, the two parts of the article reconstruct two discursive shifts. First, the observation that in scientific communication references to "problems" are increasingly substituted by references to "challenges" indicates a broader cultural trend of how attitudes towards what is problematic have shifted in the last decades. Second, as the grand challenges discourse is rooted in the sphere of sports and competition, it introduces a specific new set of societal values and practices into the spheres of science and technology. The article concludes that this process can be characterized as the sportification of science, which contributes to self-mobilization and, ultimately, to self-optimization of the participating scientists, engineers, and policymakers.

Galileo spacecraft integration - International cooperation on a planetary mission in the Shuttle era

NASA Technical Reports Server (NTRS)

Spehalski, R. J.

1983-01-01

The Galileo mission is designed to greatly expand scientific knowledge of Jupiter and its system. The retropropulsion module (RPM) as a major functional element of the Galileo spacecraft is described. The major mission and spacecraft requirements on the RPM are presented. Complexities of the integration process due to the international interface are identified. Challenges associated with integration with new launch vehicles, the Shuttle and upper stage, and their relationships to the RPM are discussed. The results of the integration process involving mission and propulsion performance, reliability, mechanical and thermal interfaces, and safety are described. Finally, considerations and recommendations for future missions involving international cooperation are given.

Bringing values and deliberation to science communication

PubMed Central

Dietz, Thomas

2013-01-01

Decisions always involve both facts and values, whereas most science communication focuses only on facts. If science communication is intended to inform decisions, it must be competent with regard to both facts and values. Public participation inevitably involves both facts and values. Research on public participation suggests that linking scientific analysis to public deliberation in an iterative process can help decision making deal effectively with both facts and values. Thus, linked analysis and deliberation can be an effective tool for science communication. However, challenges remain in conducting such process at the national and global scales, in enhancing trust, and in reconciling diverse values. PMID:23940350

Data-driven Ontology Development: A Case Study at NASA's Atmospheric Science Data Center

NASA Astrophysics Data System (ADS)

Hertz, J.; Huffer, E.; Kusterer, J.

2012-12-01

Well-founded ontologies are key to enabling transformative semantic technologies and accelerating scientific research. One example is semantically enabled search and discovery, making scientific data accessible and more understandable by accurately modeling a complex domain. The ontology creation process remains a challenge for many anxious to pursue semantic technologies. The key may be that the creation process -- whether formal, community-based, automated or semi-automated -- should encompass not only a foundational core and supplemental resources but also a focus on the purpose or mission the ontology is created to support. Are there tools or processes to de-mystify, assess or enhance the resulting ontology? We suggest that comparison and analysis of a domain-focused ontology can be made using text engineering tools for information extraction, tokenizers, named entity transducers and others. The results are analyzed to ensure the ontology reflects the core purpose of the domain's mission and that the ontology integrates and describes the supporting data in the language of the domain - how the science is analyzed and discussed among all users of the data. Commonalities and relationships among domain resources describing the Clouds and Earth's Radiant Energy (CERES) Bi-Directional Scan (BDS) datasets from NASA's Atmospheric Science Data Center are compared. The domain resources include: a formal ontology created for CERES; scientific works such as papers, conference proceedings and notes; information extracted from the datasets (i.e., header metadata); and BDS scientific documentation (Algorithm Theoretical Basis Documents, collection guides, data quality summaries and others). These resources are analyzed using the open source software General Architecture for Text Engineering, a mature framework for computational tasks involving human language.

Data Streams: An Overview and Scientific Applications

NASA Astrophysics Data System (ADS)

Aggarwal, Charu C.

In recent years, advances in hardware technology have facilitated the ability to collect data continuously. Simple transactions of everyday life such as using a credit card, a phone, or browsing the web lead to automated data storage. Similarly, advances in information technology have lead to large flows of data across IP networks. In many cases, these large volumes of data can be mined for interesting and relevant information in a wide variety of applications. When the volume of the underlying data is very large, it leads to a number of computational and mining challenges: With increasing volume of the data, it is no longer possible to process the data efficiently by using multiple passes. Rather, one can process a data item at most once. This leads to constraints on the implementation of the underlying algorithms. Therefore, stream mining algorithms typically need to be designed so that the algorithms work with one pass of the data. In most cases, there is an inherent temporal component to the stream mining process. This is because the data may evolve over time. This behavior of data streams is referred to as temporal locality. Therefore, a straightforward adaptation of one-pass mining algorithms may not be an effective solution to the task. Stream mining algorithms need to be carefully designed with a clear focus on the evolution of the underlying data. Another important characteristic of data streams is that they are often mined in a distributed fashion. Furthermore, the individual processors may have limited processing and memory. Examples of such cases include sensor networks, in which it may be desirable to perform in-network processing of data stream with limited processing and memory [1, 2]. This chapter will provide an overview of the key challenges in stream mining algorithms which arise from the unique setup in which these problems are encountered. This chapter is organized as follows. In the next section, we will discuss the generic challenges that stream mining poses to a variety of data management and data mining problems. The next section also deals with several issues which arise in the context of data stream management. In Sect. 3, we discuss several mining algorithms on the data stream model. Section 4 discusses various scientific applications of data streams. Section 5 discusses the research directions and conclusions.

Enabling a new Paradigm to Address Big Data and Open Science Challenges

NASA Astrophysics Data System (ADS)

Ramamurthy, Mohan; Fisher, Ward

2017-04-01

Data are not only the lifeblood of the geosciences but they have become the currency of the modern world in science and society. Rapid advances in computing, communi¬cations, and observational technologies — along with concomitant advances in high-resolution modeling, ensemble and coupled-systems predictions of the Earth system — are revolutionizing nearly every aspect of our field. Modern data volumes from high-resolution ensemble prediction/projection/simulation systems and next-generation remote-sensing systems like hyper-spectral satellite sensors and phased-array radars are staggering. For example, CMIP efforts alone will generate many petabytes of climate projection data for use in assessments of climate change. And NOAA's National Climatic Data Center projects that it will archive over 350 petabytes by 2030. For researchers and educators, this deluge and the increasing complexity of data brings challenges along with the opportunities for discovery and scientific breakthroughs. The potential for big data to transform the geosciences is enormous, but realizing the next frontier depends on effectively managing, analyzing, and exploiting these heterogeneous data sources, extracting knowledge and useful information from heterogeneous data sources in ways that were previously impossible, to enable discoveries and gain new insights. At the same time, there is a growing focus on the area of "Reproducibility or Replicability in Science" that has implications for Open Science. The advent of cloud computing has opened new avenues for not only addressing both big data and Open Science challenges to accelerate scientific discoveries. However, to successfully leverage the enormous potential of cloud technologies, it will require the data providers and the scientific communities to develop new paradigms to enable next-generation workflows and transform the conduct of science. Making data readily available is a necessary but not a sufficient condition. Data providers also need to give scientists an ecosystem that includes data, tools, workflows and other services needed to perform analytics, integration, interpretation, and synthesis - all in the same environment or platform. Instead of moving data to processing systems near users, as is the tradition, the cloud permits one to bring processing, computing, analysis and visualization to data - so called data proximate workbench capabilities, also known as server-side processing. In this talk, I will present the ongoing work at Unidata to facilitate a new paradigm for doing science by offering a suite of tools, resources, and platforms to leverage cloud technologies for addressing both big data and Open Science/reproducibility challenges. That work includes the development and deployment of new protocols for data access and server-side operations and Docker container images of key applications, JupyterHub Python notebook tools, and cloud-based analysis and visualization capability via the CloudIDV tool to enable reproducible workflows and effectively use the accessed data.

Spaceborne observations of a changing Earth - Contribution from ESÁ s operating and approved satellite missions.

NASA Astrophysics Data System (ADS)

Johannessen, J. A.

2009-04-01

The overall vision for ESÁs Earth Observation activities is to play a central role in developing the global capability to understand planet Earth, predict changes, and mitigate negative effects of global change on its populations. Since Earth observation from space first became possible more than forty years ago, it has become central to monitoring and understanding how the dynamics of the Earth System work. The greatest progress has been in meteorology, where space-based observations have become indispensable, but it is now also progressively penetrating many of the fields making up Earth sciences. Exploiting Earth observation from space presents major multidisciplinary challenges to the researches working in the Earth sciences, to the technologists who build the state-of-the-art sensors, and to the scientists interpreting measurements made of processes occurring on or within the Earth's surface and in its atmosphere. The scientific community has shown considerable imagination in rising to these challenges, and in exploiting the latest technological developments to measure from space the complex processes and interactions that occur in the Earth System. In parallel, there has been significant progress in developing computer models that represent the many processes that make up the Earth System, and the interactions and feedback between them. Success in developing this holistic view is inextricably linked to the data provided by Earth Observation systems. Satellites provide the fundamental, consistent, regular and global measurements needed to drive, parameterise, test and improve those Earth System models. These developments, together with changes in society's awareness of the need for information on a changing world, have repetitively supported the decisions on how ESA can best focus its resources, and those of the European community that it serves, in order to address critical issues in Earth System science. Moreover, it is a fact that many operational, managerial and regulatory activities (i.e. weather forecasting, deforestation, flooding, etc.) essential to the safe exploitation of global resources, conservation of sustainable ecosystems, and the compliance with numerous international treaties and conventions, depend absolutely on continuity of satellite missions to maximise socio-economic and environmental benefits. This presentation will highlight some of the multidisciplinary Earth science achievements and operational applications using ESA satellite missions. It will also address some of the key scientific challenges and need for operational monitoring services in the years to come. It capitalizes on the knowledge and awareness outlined in "The Changing Earth - New scientific challenges for ESÁs Living Planet Programme" issued in 2006 together with updated views and approved plans expressed during ESÁs Earth Sciences Advisory Committee (ESAC) meetings and agreed at the recent User Consultation meeting in January 2009.

An Array Library for Microsoft SQL Server with Astrophysical Applications

NASA Astrophysics Data System (ADS)

Dobos, L.; Szalay, A. S.; Blakeley, J.; Falck, B.; Budavári, T.; Csabai, I.

2012-09-01

Today's scientific simulations produce output on the 10-100 TB scale. This unprecedented amount of data requires data handling techniques that are beyond what is used for ordinary files. Relational database systems have been successfully used to store and process scientific data, but the new requirements constantly generate new challenges. Moving terabytes of data among servers on a timely basis is a tough problem, even with the newest high-throughput networks. Thus, moving the computations as close to the data as possible and minimizing the client-server overhead are absolutely necessary. At least data subsetting and preprocessing have to be done inside the server process. Out of the box commercial database systems perform very well in scientific applications from the prospective of data storage optimization, data retrieval, and memory management but lack basic functionality like handling scientific data structures or enabling advanced math inside the database server. The most important gap in Microsoft SQL Server is the lack of a native array data type. Fortunately, the technology exists to extend the database server with custom-written code that enables us to address these problems. We present the prototype of a custom-built extension to Microsoft SQL Server that adds array handling functionality to the database system. With our Array Library, fix-sized arrays of all basic numeric data types can be created and manipulated efficiently. Also, the library is designed to be able to be seamlessly integrated with the most common math libraries, such as BLAS, LAPACK, FFTW, etc. With the help of these libraries, complex operations, such as matrix inversions or Fourier transformations, can be done on-the-fly, from SQL code, inside the database server process. We are currently testing the prototype with two different scientific data sets: The Indra cosmological simulation will use it to store particle and density data from N-body simulations, and the Milky Way Laboratory project will use it to store galaxy simulation data.

Truth, proof and evidence: homeopathy and the medical paradigm.

PubMed

Swayne, Jeremy

2008-04-01

The study and practice of medicine, in its most personal and intimate functions, its most sophisticated scientific and technological manifestations, and its philosophical and ethical ramifications, are central to our understanding of the human condition. Homeopathic medicine: its insights, the questions that it begs, and the scientific and philosophical challenges it presents, has a significant contribution to make to this process. To be actively and seriously engaged with homeopathy is an adventurous undertaking. It is to be engaged in exploring both human nature and the nature of the world we inhabit. And in that process we are also engaged in the pursuit of truth and the exploration of reality. This paper deals first with the layout of the playing field on which homeopathy has to compete to be taken seriously. It then discusses three concepts: reality, truth and knowledge, which are objectives for which we strive and principles that guide us in that striving. In the third part it introduces the concept of 'personal knowledge' as an essential ingredient of scientific discovery and the pursuit of truth. And finally it proposes that the homeopathic community in general, and the Faculty of Homeopathy in particular, must expand its vision with a definition of a new paradigm, the new model of healthcare and medical science to which the vision aspires.

New trends and challenges in the European regulation of innovative medicines.

PubMed

Enzmann, Harald

2016-10-01

Regulators' marketing authorizations for innovative medicines are linked into a complex process with successive crucial decisions. Objectives and decision criteria of the stakeholders in this process, e.g. health technology assessment (HTA) bodies, payers, physicians and patients, vary and may result not only in different but even mutually exclusive requirements. Reacting to changes in scientific, economic and social demands, European regulatory agencies alter content and format of their assessment procedures and their communication. New diagnostic options (e.g. genotyping and biomarkers) and pharmaceutical innovations (e.g. targeted medicines, nanomedicines) are the scientific drivers of this development. Social drivers are the price and reimbursement decisions by HTA bodies and payers, prerequisites for most patients' access to innovative medicines. The European Medicines Agency's adaptive licensing concept and priority medicines scheme foster the early authorization of innovative medicines. HTA builds on regulators' assessment, with additional requirements and economic components. An intensified exchange between all stakeholders, e.g. in multilateral scientific advice procedures has been initiated. Diminishing the differences in the requirements of regulators and HTA bodies is in the best interest of both patients and the pharmaceutical industry, avoiding duplication of work and accelerating patients' access by early decisions on price and reimbursement. Copyright © 2016 Elsevier Inc. All rights reserved.

Informing Drought Preparedness and Response with the South Asia Land Data Assimilation System

NASA Astrophysics Data System (ADS)

Zaitchik, B. F.; Ghatak, D.; Matin, M. A.; Qamer, F. M.; Adhikary, B.; Bajracharya, B.; Nelson, J.; Pulla, S. T.; Ellenburg, W. L.

2017-12-01

Decision-relevant drought monitoring in South Asia is a challenge from both a scientific and an institutional perspective. Scientifically, climatic diversity, inconsistent in situ monitoring, complex hydrology, and incomplete knowledge of atmospheric processes mean that monitoring and prediction are fraught with uncertainty. Institutionally, drought monitoring efforts need to align with the information needs and decision-making processes of relevant agencies at national and subnational levels. Here we present first results from an emerging operational drought monitoring and forecast system developed and supported by the NASA SERVIR Hindu-Kush Himalaya hub. The system has been designed in consultation with end users from multiple sectors in South Asian countries to maximize decision-relevant information content in the monitoring and forecast products. Monitoring of meteorological, agricultural, and hydrological drought is accomplished using the South Asia Land Data Assimilation System, a platform that supports multiple land surface models and meteorological forcing datasets to characterize uncertainty, and subseasonal to seasonal hydrological forecasts are produced by driving South Asia LDAS with downscaled meteorological fields drawn from an ensemble of global dynamically-based forecast systems. Results are disseminated to end users through a Tethys online visualization platform and custom communications that provide user oriented, easily accessible, timely, and decision-relevant scientific information.

Data Friction Meets Social Friction: Challenges for standardization in emerging fields of geoscience

NASA Astrophysics Data System (ADS)

Darch, P. T.

2017-12-01

Many interdisciplinary endeavors in the geosciences occur in emergent scientific fields. These fields are often characterized by heterogeneity of methods for production and collection of data, and by data scarcity. This paper presents findings about processes of methods standardization from a long-term case study of an emergent, data-scarce field, the deep subseafloor biosphere. Researchers come from many physical and life science backgrounds to study interactions between microbial life in the seafloor and the physical environment they inhabit. Standardization of methods for collecting data promises multiple benefits to this field, including: Addressing data scarcity through enabling greater data reuse and promoting better interoperability with large scale infrastructures; Fostering stronger collaborative links between researchers distributed across institutions and backgrounds. Ongoing standardization efforts in the field do not only involve scientific judgments about which among a range of methods is most efficient, least biased, or most reliable. Instead, these efforts also encounter multiple difficult social challenges, including: Lack of agreed upon criteria about how to judge competing methods: should efficiency, bias, or reliability take priority?; Lack of resources to carry out the work necessary to determine standards, particularly acute in emergent fields; Concerns that standardization is premature in such a new field, foreclosing the possibility of better methods being developed in the future; Concerns that standardization could prematurely shut down important scientific debates; Concerns among some researchers that their own work may become obsolete should the methods chosen as standard be different from their own. The success of these standardization efforts will depend on addressing both scientific and social dimensions, to ensure widespread acceptance among researchers in the field.

Towards an Earth System Knowledge Environment Designed to Promote More Usable Science

NASA Astrophysics Data System (ADS)

Killeen, T. L.

2006-12-01

It is abundantly clear that fundamental decisions about how to manage future human society will need to be informed by quantitative scientific analyses of processes, options, impacts, and responses. In fact, one could argue that the human experience into the foreseeable future will increasingly be tied to the integrating of information, understanding, and experiences to create knowledge and with it solutions to emerging problems as well as opportunities for further progress. This is particularly true for the Geosciences. Our scientific field, and by extension our Union, has a special responsibility for informing policy makers and the public about how the earth system functions and about the relationship between environmental stressors and human activities. In this regard, a greatly improved working interface between natural and social scientists is needed. In this talk, I argue that something like an "Earth System Knowledge Environment" or "Earth System Collaboratory" should be developed using modern information technologies to encapsulate and make accessible existing and emerging interdisciplinary knowledge of particular use to decision makers. Such a "work place" should be open to all and could provide access to observations, models and theories in ways that more easily allow for credible scientific understanding to be translated into policy options at all levels. Examples of fledgling efforts along these lines will be cited in areas such as severe weather impacts and climate change. The challenges involved in creating more usable scientific knowledge are, of course, quite significant and include major issues such as: institutional impediments to interdisciplinary research, the role of proprietary interests, the difficulties involved in working across the natural/social science boundary, and the challenge of developing the kind of human capital needed to effectively close the gap between good science and public policy.

Procedural Challenges In International Collaborative Research

PubMed Central

Loo, Kek Khee

2009-01-01

There is tremendous promise for a rewarding experience in an international research project due to the collaboration, mutual learning and cultural bridging that intrinsically occur. However, knowledge of the procedural requirements for international research is not widely disseminated to investigators who may not have been involved in the administration of a federal grant with a foreign component. The purpose of this article is to highlight the major challenges in administrative, procedural and equipment management aspects of grant implementation when federal funding is involved in international collaborative research. It is hoped that awareness of these difficulties and demystification of the process for future investigators can minimize the potential encumbrances in a rewarding journey towards realizing the scientific goals in an international collaborative research project. PMID:19574522

Make the World a Better Place

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bryant, Steven L; Camacho-Lopez, Tara R; Tenney, Craig M

Representing the Center for Frontiers of Subsurface Energy Security (CFSES), this document is one of the entries in the Ten Hundred and One Word Challenge. As part of the challenge, the 46 Energy Frontier Research Centers were invited to represent their science in images, cartoons, photos, words and original paintings, but any descriptions or words could only use the 1000 most commonly used words in the English language, with the addition of one word important to each of the EFRCs and the mission of DOE: energy. The mission of the CFSES is to pursue the scientific understanding of multiscale, multiphysicsmore » processes and to ensure safe and economically feasible storage of carbon dioxide and other byproducts of energy production without harming the environment.« less

Microalgae as source of biofuel: technology and prospective

NASA Astrophysics Data System (ADS)

Ferraro, Angelo

2017-12-01

Microalgae are autotrophic organisms found in solitary cells or in groups of single cells connected together. Their natural environment are typically freshwater and marine systems. Microalgae produce, via photosynthesis, approximately one-half of oxygen generated on earth while simultaneously consume carbon dioxide (CO2). Among the technologies being examined to produce green fuels (e.g. biodiesel, bioethanol and syngas), microalgae are viewed by many in the scientific community as having the greatest potential to become economically viable fuels. Nevertheless, to reach economic parity with fossil fuels there are still several challenges to be tackle. These include improving harvesting and oil extraction processes as well as increasing biomass productivity and oil content. All of these challenges can be impacted by genetic, molecular, and ultimately synthetic biology techniques.

Mechanistic insights for the development of Li-O2 battery materials: addressing Li2O2 conductivity limitations and electrolyte and cathode instabilities.

PubMed

McCloskey, Bryan D; Burke, Colin M; Nichols, Jessica E; Renfrew, Sara E

2015-08-18

The Li-air battery has received significant attention over the past decade given its high theoretical specific energy compared to competing energy storage technologies. Yet, numerous scientific challenges remain unsolved in the pursuit of attaining a battery with modest Coulombic efficiency and high capacity. In this Feature Article, we provide our current perspective on challenges facing the development of nonaqueous Li-O2 battery cathodes. We initially present a review on our understanding of electrochemical processes occurring at the nonaqueous Li-O2 cathode. Electrolyte and cathode instabilities and Li2O2 conductivity limitations are then discussed, and suggestions for future materials research development to alleviate these issues are provided.

Concept Formation in Scientific Knowledge Discovery from a Constructivist View

NASA Astrophysics Data System (ADS)

Peng, Wei; Gero, John S.

The central goal of scientific knowledge discovery is to learn cause-effect relationships among natural phenomena presented as variables and the consequences their interactions. Scientific knowledge is normally expressed as scientific taxonomies and qualitative and quantitative laws [1]. This type of knowledge represents intrinsic regularities of the observed phenomena that can be used to explain and predict behaviors of the phenomena. It is a generalization that is abstracted and externalized from a set of contexts and applicable to a broader scope. Scientific knowledge is a type of third-person knowledge, i.e., knowledge that independent of a specific enquirer. Artificial intelligence approaches, particularly data mining algorithms that are used to identify meaningful patterns from large data sets, are approaches that aim to facilitate the knowledge discovery process [2]. A broad spectrum of algorithms has been developed in addressing classification, associative learning, and clustering problems. However, their linkages to people who use them have not been adequately explored. Issues in relation to supporting the interpretation of the patterns, the application of prior knowledge to the data mining process and addressing user interactions remain challenges for building knowledge discovery tools [3]. As a consequence, scientists rely on their experience to formulate problems, evaluate hypotheses, reason about untraceable factors and derive new problems. This type of knowledge which they have developed during their career is called “first-person” knowledge. The formation of scientific knowledge (third-person knowledge) is highly influenced by the enquirer’s first-person knowledge construct, which is a result of his or her interactions with the environment. There have been attempts to craft automatic knowledge discovery tools but these systems are limited in their capabilities to handle the dynamics of personal experience. There are now trends in developing approaches to assist scientists applying their expertise to model formation, simulation, and prediction in various domains [4], [5]. On the other hand, first-person knowledge becomes third-person theory only if it proves general by evidence and is acknowledged by a scientific community. Researchers start to focus on building interactive cooperation platforms [1] to accommodate different views into the knowledge discovery process. There are some fundamental questions in relation to scientific knowledge development. What aremajor components for knowledge construction and how do people construct their knowledge? How is this personal construct assimilated and accommodated into a scientific paradigm? How can one design a computational system to facilitate these processes? This chapter does not attempt to answer all these questions but serves as a basis to foster thinking along this line. A brief literature review about how people develop their knowledge is carried out through a constructivist view. A hydrological modeling scenario is presented to elucidate the approach.

Concept Formation in Scientific Knowledge Discovery from a Constructivist View

NASA Astrophysics Data System (ADS)

Peng, Wei; Gero, John S.

The central goal of scientific knowledge discovery is to learn cause-effect relationships among natural phenomena presented as variables and the consequences their interactions. Scientific knowledge is normally expressed as scientific taxonomies and qualitative and quantitative laws [1]. This type of knowledge represents intrinsic regularities of the observed phenomena that can be used to explain and predict behaviors of the phenomena. It is a generalization that is abstracted and externalized from a set of contexts and applicable to a broader scope. Scientific knowledge is a type of third-person knowledge, i.e., knowledge that independent of a specific enquirer. Artificial intelligence approaches, particularly data mining algorithms that are used to identify meaningful patterns from large data sets, are approaches that aim to facilitate the knowledge discovery process [2]. A broad spectrum of algorithms has been developed in addressing classification, associative learning, and clustering problems. However, their linkages to people who use them have not been adequately explored. Issues in relation to supporting the interpretation of the patterns, the application of prior knowledge to the data mining process and addressing user interactions remain challenges for building knowledge discovery tools [3]. As a consequence, scientists rely on their experience to formulate problems, evaluate hypotheses, reason about untraceable factors and derive new problems. This type of knowledge which they have developed during their career is called "first-person" knowledge. The formation of scientific knowledge (third-person knowledge) is highly influenced by the enquirer's first-person knowledge construct, which is a result of his or her interactions with the environment. There have been attempts to craft automatic knowledge discovery tools but these systems are limited in their capabilities to handle the dynamics of personal experience. There are now trends in developing approaches to assist scientists applying their expertise to model formation, simulation, and prediction in various domains [4], [5]. On the other hand, first-person knowledge becomes third-person theory only if it proves general by evidence and is acknowledged by a scientific community. Researchers start to focus on building interactive cooperation platforms [1] to accommodate different views into the knowledge discovery process. There are some fundamental questions in relation to scientific knowledge development. What aremajor components for knowledge construction and how do people construct their knowledge? How is this personal construct assimilated and accommodated into a scientific paradigm? How can one design a computational system to facilitate these processes? This chapter does not attempt to answer all these questions but serves as a basis to foster thinking along this line. A brief literature review about how people develop their knowledge is carried out through a constructivist view. A hydrological modeling scenario is presented to elucidate the approach.

Lone Geniuses in Popular Science: The Devaluation of Scientific Consensus

ERIC Educational Resources Information Center

Charney, Davida

2003-01-01

Popular accounts of scientific discoveries diverge from scholarly accounts, stripping off hedges and promoting short-term social consequences. This case study illustrates how the "horse-race" framing of popular accounts devalues the collective sharing, challenging, and extending of scientific work. In her best-selling "Longitude," Dava Sobel…

Dates of publication of the Zoology parts of the Report of the Scientific Results of the Voyage of H.M.S. Challenger During the Years 1873-76.

PubMed

Low, Martyn E Y; Evenhuis, Neal L

2013-01-01

The dates of publication and exact titles of the 83 parts of the Zoology of the Report of the Scientific Results of the Voyage of H.M.S. Challenger During the Years 1873-76 are presented. Exact dates of publication for 71 of these parts have been determined using notices of their publication in contemporary publications. The dates of publication of the two Narrative volumes of the voyage of the H.M.S. Challenger (which contain available indications of new names) are also determined.

Proceedings of the first U.S. Geological Survey scientific information management workshop, March 21-23, 2006

USGS Publications Warehouse

Henkel, Heather S.

2007-01-01

In March 2006, the U.S. Geological Survey (USGS) held the first Scientific Information Management (SIM) Workshop in Reston, Virginia. The workshop brought together more than 150 SIM professionals from across the organization to discuss the range and importance of SIM problems, identify common challenges and solutions, and investigate the use and value of “communities of practice” (CoP) as mechanisms to address these issues. The 3-day workshop began with presentations of SIM challenges faced by the Long Term Ecological Research (LTER) network and two USGS programs from geology and hydrology. These presentations were followed by a keynote address and discussion of CoP by Dr. Etienne Wenger, a pioneer and leading expert in CoP, who defined them as "groups of people who share a passion for something that they know how to do and who interact regularly to learn how to do it better." Wenger addressed the roles and characteristics of CoP, how they complement formal organizational structures, and how they can be fostered. Following this motivating overview, five panelists (including Dr. Wenger) with CoP experience in different institutional settings provided their perspectives and lessons learned. The first day closed with an open discussion on the potential intersection of SIM at the USGS with SIM challenges and the potential for CoP. The second session began the process of developing a common vocabulary for both scientific data management and CoP, and a list of eight guiding principles for information management were proposed for discussion and constructive criticism. Following this discussion, 20 live demonstrations and posters of SIM tools developed by various USGS programs and projects were presented. Two community-building sessions were held to explore the next steps in 12 specific areas: Archiving of Scientific Data and Information; Database Networks; Digital Libraries; Emerging Workforce; Field Data for Small Research Projects; Knowledge Capture; Knowledge Organization Systems and Controlled Vocabularies; Large Time Series Data Sets; Metadata; Portals and Frameworks; Preservation of Physical Collections; and Scientific Data from Monitoring Programs. In about two-thirds of these areas, initial steps to forming CoP are now underway. The final afternoon included a panel in which information professionals, managers, program coordinators, and associate directors shared their perspectives on the workshop, on ways in which the USGS could better manage its scientific information, and on the use of CoP as informal mechanisms to complement formal organizational structures. The final session focused on developing the next steps, an action plan, and a communication strategy to ensure continued development.

A shifting mosaic of scholarly publishing, scientific delivery, and future impact changing the face of learned societies

USGS Publications Warehouse

Leslie, David M.

2007-01-01

Nonprofit scientific societies hope that their activities advance their particular mission and impact their profession and, in the broadest sense, humanity in positive ways. The digital age has provided unprecedented mechanisms to enhance the delivery of science to the world. The marketplace of scientific publishing is a rapidly shifting mosaic of challenges and opportunities, and the responses of nonprofit and commercial publishers vary widely, but their outcomes are still uncertain. The response of the American Society of Mammalogists (ASM) provides an example of how a relatively small society has altered its scientific delivery to enhance member benefits while attempting to sustain its economic viability. Since 2000, ASM has moved from a self-publishing, break-even, print-only model to a copublishing agreement with a commercial publisher (Alliance Communications Group, a division of Allen Press, Inc., Lawrence, Kansas), which now offers members various print and electronic options and generates a shared royalty. Although it is too early to gauge the economic impact of these changes, the ASM leadership clearly attempted to signal its desire for members to view their society as a package of opportunities for edification and involvement rather than just a provider of serial subscriptions. Future challenges facing nonprofit scientific societies include open access, fiscal realities, archiving of publications, and scientific and societal impact; future opportunities include a strengthening of member responsibilities and professionalism, development of data registries to enhance scientific progress, and bundling of like societies. The manner in which nonprofit scientific societies respond to these challenges and opportunities will no doubt affect their sustainability and future impact. ?? 2007 American Society of Mammalogists.

National Institutes of Health addresses the science of diversity

PubMed Central

Valantine, Hannah A.; Collins, Francis S.

2015-01-01

The US biomedical research workforce does not currently mirror the nation’s population demographically, despite numerous attempts to increase diversity. This imbalance is limiting the promise of our biomedical enterprise for building knowledge and improving the nation’s health. Beyond ensuring fairness in scientific workforce representation, recruiting and retaining a diverse set of minds and approaches is vital to harnessing the complete intellectual capital of the nation. The complexity inherent in diversifying the research workforce underscores the need for a rigorous scientific approach, consistent with the ways we address the challenges of science discovery and translation to human health. Herein, we identify four cross-cutting diversity challenges ripe for scientific exploration and opportunity: research evidence for diversity’s impact on the quality and outputs of science; evidence-based approaches to recruitment and training; individual and institutional barriers to workforce diversity; and a national strategy for eliminating barriers to career transition, with scientifically based approaches for scaling and dissemination. Evidence-based data for each of these challenges should provide an integrated, stepwise approach to programs that enhance diversity rapidly within the biomedical research workforce. PMID:26392553

National Institutes of Health addresses the science of diversity.

PubMed

Valantine, Hannah A; Collins, Francis S

2015-10-06

The US biomedical research workforce does not currently mirror the nation's population demographically, despite numerous attempts to increase diversity. This imbalance is limiting the promise of our biomedical enterprise for building knowledge and improving the nation's health. Beyond ensuring fairness in scientific workforce representation, recruiting and retaining a diverse set of minds and approaches is vital to harnessing the complete intellectual capital of the nation. The complexity inherent in diversifying the research workforce underscores the need for a rigorous scientific approach, consistent with the ways we address the challenges of science discovery and translation to human health. Herein, we identify four cross-cutting diversity challenges ripe for scientific exploration and opportunity: research evidence for diversity's impact on the quality and outputs of science; evidence-based approaches to recruitment and training; individual and institutional barriers to workforce diversity; and a national strategy for eliminating barriers to career transition, with scientifically based approaches for scaling and dissemination. Evidence-based data for each of these challenges should provide an integrated, stepwise approach to programs that enhance diversity rapidly within the biomedical research workforce.

The Health Behaviour in School-aged Children: WHO Collaborative Cross-National (HBSC) study: origins, concept, history and development 1982-2008.

PubMed

Currie, Candace; Nic Gabhainn, Saoirse; Godeau, Emmanuelle

2009-09-01

This paper traces the history of the HBSC study from its origins in the early 1980's to the present day describing how it was first conceptualised scientifically and how this influenced issues of study design. The challenges of managing a cross-national study are explained as are changes and adaptations over time with growth of the study from 3 to over forty country members. The key partnership with the World Health Organisation and its benefits are presented. With developments in scientific management and theoretical perspectives, HBSC has made a substantial contribution to the area of youth health. The last decade has seen increased dissemination to policy makers and evidence that scientific information arising from the study has influenced strategic policy development and practical health improvement programmes. This paper considers some of the key success factors and challenges for the study as it attempts to maximise its scientific output and channels the research findings into health improvement for young people. Future challenges for the study are also considered.

Challenging the 'view from nowhere': citizen reflections on specialist expertise in a deliberative process.

PubMed

Davies, Gail; Burgess, Jacquelin

2004-12-01

This paper presents analysis of citizen encounters with specialists in a deliberative process, called Deliberative Mapping, which explored options for addressing the shortage of organs for transplantation in the UK. There is a rich theoretical literature about the extent to which citizens are competent to question the knowledge claims of specialists in complex decision-making processes, suggesting the trustworthiness of scientific expertise will depend on the qualities of social interaction in face-to-face dialogue, but little empirical analysis of specific encounters. This paper presents evidence of how citizens located specialist expertise in making judgements about the legitimacy and credibility of specialist knowledge claims, in ways that reflect differences in epistemic procedures valued by the panels of men and women in this process.

WE-E-218-01: Writing and Reviewing Papers in Medical Physics.

PubMed

Hendee, W; Slattery, P; Rogers, D; Karellas, A

2012-06-01

There is an art to writing a scientific paper so that it communicates accurately, succinctly, and comprehensively. Developing this art comes with experience, and sharing that experience with younger physicists is an obligation of senior scientists, especially those with editorial responsibilities for the journal. In this workshop, the preparation of a scientific manuscript will be dissected so participants can appreciate how each part is developed and then assembled into a complete paper. Then the review process for the paper will be discussed, including how to examine a paper and write an insightful and constructive review. Finally, we will consider the challenge of accommodating the concerns and recommendations of a reviewer in preparing a revision of the paper. A second feature of the workshop will be a discussion of the process of electronic submission of a paper for consideration by Medical Physics. The web-based PeerX-Press engine for manuscript submission and management will be examined, with attention to special features such as epaps and line-referencing. Finally, new features of Medical Physics will be explained, such as Vision 20/20 manuscripts, Physics Letters and the standardized formatting of book reviews. 1. Improve the participants' abilities to write a scientific manuscript. 2. Understand the review process for Medical Physics manuscripts and how to participate in and benefit from it. 3. Appreciate the many features of the PeerX-Press electronic management process for Medical Physics manuscripts. 4. Develop a knowledge of new features of Medical Physics. © 2012 American Association of Physicists in Medicine.

The challenges and opportunities in cumulative effects assessment

USGS Publications Warehouse

Foley, Melissa M.; Mease, Lindley A; Martone, Rebecca G; Prahler, Erin E; Morrison, Tiffany H; Clarke Murray, Cathryn; Wojcik, Deborah

2016-01-01

The cumulative effects of increasing human use of the ocean and coastal zone have contributed to a rapid decline in ocean and coastal resources. As a result, scientists are investigating how multiple, overlapping stressors accumulate in the environment and impact ecosystems. These investigations are the foundation for the development of new tools that account for and predict cumulative effects in order to more adequately prevent or mitigate negative effects. Despite scientific advances, legal requirements, and management guidance, those who conduct assessments—including resource managers, agency staff, and consultants—continue to struggle to thoroughly evaluate cumulative effects, particularly as part of the environmental assessment process. Even though 45 years have passed since the United States National Environmental Policy Act was enacted, which set a precedent for environmental assessment around the world, defining impacts, baseline, scale, and significance are still major challenges associated with assessing cumulative effects. In addition, we know little about how practitioners tackle these challenges or how assessment aligns with current scientific recommendations. To shed more light on these challenges and gaps, we undertook a comparative study on how cumulative effects assessment (CEA) is conducted by practitioners operating under some of the most well-developed environmental laws around the globe: California, USA; British Columbia, Canada; Queensland, Australia; and New Zealand. We found that practitioners used a broad and varied definition of impact for CEA, which led to differences in how baseline, scale, and significance were determined. We also found that practice and science are not closely aligned and, as such, we highlight opportunities for managers, policy makers, practitioners, and scientists to improve environmental assessment.

The challenges and opportunities in cumulative effects assessment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Foley, Melissa M., E-mail: mfoley@usgs.gov; Center for Ocean Solutions, Stanford University, 99 Pacific St., Monterey, CA 93940; Mease, Lindley A., E-mail: lamease@stanford.edu

The cumulative effects of increasing human use of the ocean and coastal zone have contributed to a rapid decline in ocean and coastal resources. As a result, scientists are investigating how multiple, overlapping stressors accumulate in the environment and impact ecosystems. These investigations are the foundation for the development of new tools that account for and predict cumulative effects in order to more adequately prevent or mitigate negative effects. Despite scientific advances, legal requirements, and management guidance, those who conduct assessments—including resource managers, agency staff, and consultants—continue to struggle to thoroughly evaluate cumulative effects, particularly as part of the environmentalmore » assessment process. Even though 45 years have passed since the United States National Environmental Policy Act was enacted, which set a precedent for environmental assessment around the world, defining impacts, baseline, scale, and significance are still major challenges associated with assessing cumulative effects. In addition, we know little about how practitioners tackle these challenges or how assessment aligns with current scientific recommendations. To shed more light on these challenges and gaps, we undertook a comparative study on how cumulative effects assessment (CEA) is conducted by practitioners operating under some of the most well-developed environmental laws around the globe: California, USA; British Columbia, Canada; Queensland, Australia; and New Zealand. We found that practitioners used a broad and varied definition of impact for CEA, which led to differences in how baseline, scale, and significance were determined. We also found that practice and science are not closely aligned and, as such, we highlight opportunities for managers, policy makers, practitioners, and scientists to improve environmental assessment.« less

Advancing Capabilities for Understanding the Earth System Through Intelligent Systems, the NSF Perspective

NASA Astrophysics Data System (ADS)

Gil, Y.; Zanzerkia, E. E.; Munoz-Avila, H.

2015-12-01

The National Science Foundation (NSF) Directorate for Geosciences (GEO) and Directorate for Computer and Information Science (CISE) acknowledge the significant scientific challenges required to understand the fundamental processes of the Earth system, within the atmospheric and geospace, Earth, ocean and polar sciences, and across those boundaries. A broad view of the opportunities and directions for GEO are described in the report "Dynamic Earth: GEO imperative and Frontiers 2015-2020." Many of the aspects of geosciences research, highlighted both in this document and other community grand challenges, pose novel problems for researchers in intelligent systems. Geosciences research will require solutions for data-intensive science, advanced computational capabilities, and transformative concepts for visualizing, using, analyzing and understanding geo phenomena and data. Opportunities for the scientific community to engage in addressing these challenges are available and being developed through NSF's portfolio of investments and activities. The NSF-wide initiative, Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21), looks to accelerate research and education through new capabilities in data, computation, software and other aspects of cyberinfrastructure. EarthCube, a joint program between GEO and the Advanced Cyberinfrastructure Division, aims to create a well-connected and facile environment to share data and knowledge in an open, transparent, and inclusive manner, thus accelerating our ability to understand and predict the Earth system. EarthCube's mission opens an opportunity for collaborative research on novel information systems enhancing and supporting geosciences research efforts. NSF encourages true, collaborative partnerships between scientists in computer sciences and the geosciences to meet these challenges.

Data Mining and Machine Learning in Time-Domain Discovery and Classification

NASA Astrophysics Data System (ADS)

Bloom, Joshua S.; Richards, Joseph W.

2012-03-01

The changing heavens have played a central role in the scientific effort of astronomers for centuries. Galileo's synoptic observations of the moons of Jupiter and the phases of Venus starting in 1610, provided strong refutation of Ptolemaic cosmology. These observations came soon after the discovery of Kepler's supernova had challenged the notion of an unchanging firmament. In more modern times, the discovery of a relationship between period and luminosity in some pulsational variable stars [41] led to the inference of the size of the Milky way, the distance scale to the nearest galaxies, and the expansion of the Universe (see Ref. [30] for review). Distant explosions of supernovae were used to uncover the existence of dark energy and provide a precise numerical account of dark matter (e.g., [3]). Repeat observations of pulsars [71] and nearby main-sequence stars revealed the presence of the first extrasolar planets [17,35,44,45]. Indeed, time-domain observations of transient events and variable stars, as a technique, influences a broad diversity of pursuits in the entire astronomy endeavor [68]. While, at a fundamental level, the nature of the scientific pursuit remains unchanged, the advent of astronomy as a data-driven discipline presents fundamental challenges to the way in which the scientific process must now be conducted. Digital images (and data cubes) are not only getting larger, there are more of them. On logistical grounds, this taxes storage and transport systems. But it also implies that the intimate connection that astronomers have always enjoyed with their data - from collection to processing to analysis to inference - necessarily must evolve. Figure 6.1 highlights some of the ways that the pathway to scientific inference is now influenced (if not driven by) modern automation processes, computing, data-mining, and machine-learning (ML). The emerging reliance on computation and ML is a general one - a central theme of this book - but the time-domain aspect of the data and the objects of interest presents some unique challenges. First, any collection, storage, transport, and computational framework for processing the streaming data must be able to keep up with the dataflow. This is not necessarily true, for instance, with static sky science, where metrics of interest can be computed off-line and on a timescale much longer than the time required to obtain the data. Second, many types of transient (one-off) events evolve quickly in time and require more observations to fully understand the nature of the events. This demands that time-changing events are quickly discovered, classified, and broadcast to other follow-up facilities. All of this must happen robustly with, in some cases, very limited data. Last, the process of discovery and classification must be calibrated to the available resources for computation and follow-up. That is, the precision of classification must be weighed against the computational cost of producing that level of precision. Likewise, the cost of being wrong about the classification of some sorts of sources must be balanced against the scientific gains about being right about the classification of other types of sources. Quantifying these trade-offs, especially in the presence of a limited amount of follow-up resources (such as the availability of larger telescope observations) is not straightforward and inheres domain-specific imperatives that will, in general, differ from astronomer to astronomer. This chapter presents an overview of the current directions in ML and data-mining techniques in the context of time-domain astronomy. Ultimately the goal - if not just the necessity given the data rates and the diversity of questions to be answered - is to abstract the traditional role of astronomer in the entire scientific process. In some sense, this takes us full circle from the pre modern view of the scientific pursuit presented in Vermeer's "The Astronomer" (Figure 6.2): in broad daylight, he contemplates the nighttime heavens from depictions presented to him on globe, based on observations that others have made. He is an abstract thinker, far removed from data collection and processing; his most visceral connection to the skies is just the feel of the orb under his fingers. Substitute the globe for a plot on a screen generated from a structured query language (SQL) query to a massive public database in the cloud, and we have a picture of the modern astronomer benefitting from the ML and data-mining tools operating on an almost unfathomable amount of raw data.

Drawing the battle lines: tracing the "Science War" in the construction of the chloroform and human health risks debate.

PubMed

Driedger, S Michelle; Eyles, John

2003-04-01

The United States Environmental Protection Agency (US EPA) and the Chlorine Chemistry Council, the Chemical Manufacturers Association, and others have been embroiled in a legal challenge concerning the US EPA's "reversal" regarding the scientific assessment of chloroform's carcinogenicity. This issue arose during the US EPA's November 1998 promulgation of a Maximum Contaminant Level Goal for chloroform in the Stage 1 Final Rules for Disinfectants and Disinfection Byproducts in drinking water. In this paper we adopt a claimsmaking approach: to trace the development and outcome of the chloroform court challenge in the USA, to examine the construction of scientific knowledge claims concerning chloroform risk assessments, and to investigate how different interpretations of scientific uncertainties regarding the evidence are contested when such uncertainties are brought into a regulatory and judicial arena. This "science war" (Chlorine Chemistry Council and others v. US EPA and others) took place in the US Court of Appeals for the District of Columbia Circuit. The scientific "authority" in the construction of scientific claims in this dispute is based on the International Life Sciences Institute expert panel report on chloroform. Examining these science wars is important because they signal critical shifts in science policy agendas. The regulatory outcome of the chloroform science war in the United States can have profound implications for the construction and acceptance of scientific claims regarding drinking water in other jurisdictions (e.g., Canada). In this challenge, we argue that the actors involved in the dispute constructed "boundaries" around accepted and credible scientific claims.

Science education for sustainability, epistemological reflections and educational practices: from natural sciences to trans-disciplinarity

NASA Astrophysics Data System (ADS)

Colucci-Gray, Laura; Perazzone, Anna; Dodman, Martin; Camino, Elena

2013-03-01

In this three-part article we seek to establish connections between the emerging framework of sustainability science and the methodological basis of research and practice in science education in order to bring forth knowledge and competences for sustainability. The first and second parts deal with the implications of taking a sustainability view in relation to knowledge processes. The complexity, uncertainty and urgency of global environmental problems challenge the foundations of reductionist Western science. Within such debate, the proposal of sustainability science advocates for inter-disciplinary and inter-paradigmatic collaboration and it includes the requirements of post- normal science proposing a respectful dialogue between experts and non-experts in the construction of new scientific knowledge. Such a change of epistemology is rooted into participation, deliberation and the gathering of extended-facts where cultural framings and values are the hard components in the face of soft facts. A reflection on language and communication processes is thus the focus of knowledge practices and educational approaches aimed at sustainability. Language contains the roots of conceptual thinking (including scientific knowledge) and each culture and society are defined and limited by the language that is used to describe and act upon the world. Within a scenario of sustainability, a discussion of scientific language is in order to retrace the connections between language and culture, and to promote a holistic view based on pluralism and dialogue. Drawing on the linguistic reflection, the third part gives examples of teaching and learning situations involving prospective science teachers in action-research contexts: these activities are set out to promote linguistic integration and to introduce reflexive process into science learning. Discussion will focus on the methodological features of a learning process that is akin to a communal and emancipatory research process within a sustainability scenario.

Application of logic models in a large scientific research program.

PubMed

O'Keefe, Christine M; Head, Richard J

2011-08-01

It is the purpose of this article to discuss the development and application of a logic model in the context of a large scientific research program within the Commonwealth Scientific and Industrial Research Organisation (CSIRO). CSIRO is Australia's national science agency and is a publicly funded part of Australia's innovation system. It conducts mission-driven scientific research focussed on delivering results with relevance and impact for Australia, where impact is defined and measured in economic, environmental and social terms at the national level. The Australian Government has recently signalled an increasing emphasis on performance assessment and evaluation, which in the CSIRO context implies an increasing emphasis on ensuring and demonstrating the impact of its research programs. CSIRO continues to develop and improve its approaches to impact planning and evaluation, including conducting a trial of a program logic approach in the CSIRO Preventative Health National Research Flagship. During the trial, improvements were observed in clarity of the research goals and path to impact, as well as in alignment of science and support function activities with national challenge goals. Further benefits were observed in terms of communication of the goals and expected impact of CSIRO's research programs both within CSIRO and externally. The key lesson learned was that significant value was achieved through the process itself, as well as the outcome. Recommendations based on the CSIRO trial may be of interest to managers of scientific research considering developing similar logic models for their research projects. The CSIRO experience has shown that there are significant benefits to be gained, especially if the project participants have a major role in the process of developing the logic model. Copyright © 2011 Elsevier Ltd. All rights reserved.

[Challenge and opportunity of entry to WTO brings to scientific and technological periodical].

PubMed

Tian, Yun-Mei

2004-11-01

After our country enters WTO, confronted with the direct influence in big international market opening, editorial department will face fierce competition. Selecting the superior and eliminate the inferior will test every publishing house and every magazine directly. In order to improve the competition level, author has analyzed the current situation of China's periodical development, and then explored the scientific and technological periodical opportunity and challenge faced under the new situation.

HIV/AIDS vaccines for Africa: scientific opportunities, challenges and strategies

PubMed Central

Chin'ombe, Nyasha; Ruhanya, Vurayai

2015-01-01

More than decades have already elapsed since human immunodeficiency virus (HIV) was identified as the causative agent of acquired immunodeficiency syndrome (AIDS). The HIV has since spread to all parts of the world with devastating effects. In sub-saharan Africa, the HIV/AIDS epidemic has reached unprecedented proportions. Safe, effective and affordable HIV/AIDS vaccines for Africans are therefore urgently needed to contain this public health problem. Although, there are challenges, there are also scientific opportunities and strategies that can be exploited in the development of HIV/AIDS vaccines for Africa. The recent RV144 Phase III trial in Thailand has demonstrated that it is possible to develop a vaccine that can potentially elicit modest protective immunity against HIV infection. The main objective of this review is to outline the key scientific opportunities, challenges and strategies in HIV/AIDS vaccine development in Africa. PMID:26185576

Research Stakeholders' Views on Benefits and Challenges for Public Health Research Data Sharing in Kenya: The Importance of Trust and Social Relations.

PubMed

Jao, Irene; Kombe, Francis; Mwalukore, Salim; Bull, Susan; Parker, Michael; Kamuya, Dorcas; Molyneux, Sassy; Marsh, Vicki

2015-01-01

There is increasing recognition of the importance of sharing research data within the international scientific community, but also of the ethical and social challenges this presents, particularly in the context of structural inequities and varied capacity in international research. Public involvement is essential to building locally responsive research policies, including on data sharing, but little research has involved stakeholders from low-to-middle income countries. Between January and June 2014, a qualitative study was conducted in Kenya involving sixty stakeholders with varying experiences of research in a deliberative process to explore views on benefits and challenges in research data sharing. In-depth interviews and extended small group discussions based on information sharing and facilitated debate were used to collect data. Data were analysed using Framework Analysis, and charting flow and dynamics in debates. The findings highlight both the opportunities and challenges of communicating about this complex and relatively novel topic for many stakeholders. For more and less research-experienced stakeholders, ethical research data sharing is likely to rest on the development and implementation of appropriate trust-building processes, linked to local perceptions of benefits and challenges. The central nature of trust is underpinned by uncertainties around who might request what data, for what purpose and when. Key benefits perceived in this consultation were concerned with the promotion of public health through science, with legitimate beneficiaries defined differently by different groups. Important challenges were risks to the interests of study participants, communities and originating researchers through stigmatisation, loss of privacy, impacting autonomy and unfair competition, including through forms of intentional and unintentional 'misuse' of data. Risks were also seen for science. Given background structural inequities in much international research, building trust in this low-to-middle income setting includes ensuring that the interests of study participants, primary communities and originating researchers will be promoted as far as possible, as well as protected. Important ways of building trust in data sharing include involving the public in policy development and implementation, promoting scientific collaborations around data sharing and building close partnerships between researchers and government health authorities to provide checks and balances on data sharing, and promote near and long-term translational benefits.

Research Stakeholders’ Views on Benefits and Challenges for Public Health Research Data Sharing in Kenya: The Importance of Trust and Social Relations

PubMed Central

Jao, Irene; Kombe, Francis; Mwalukore, Salim; Bull, Susan; Parker, Michael; Kamuya, Dorcas; Molyneux, Sassy; Marsh, Vicki

2015-01-01

Background There is increasing recognition of the importance of sharing research data within the international scientific community, but also of the ethical and social challenges this presents, particularly in the context of structural inequities and varied capacity in international research. Public involvement is essential to building locally responsive research policies, including on data sharing, but little research has involved stakeholders from low-to-middle income countries. Methods Between January and June 2014, a qualitative study was conducted in Kenya involving sixty stakeholders with varying experiences of research in a deliberative process to explore views on benefits and challenges in research data sharing. In-depth interviews and extended small group discussions based on information sharing and facilitated debate were used to collect data. Data were analysed using Framework Analysis, and charting flow and dynamics in debates. Findings The findings highlight both the opportunities and challenges of communicating about this complex and relatively novel topic for many stakeholders. For more and less research-experienced stakeholders, ethical research data sharing is likely to rest on the development and implementation of appropriate trust-building processes, linked to local perceptions of benefits and challenges. The central nature of trust is underpinned by uncertainties around who might request what data, for what purpose and when. Key benefits perceived in this consultation were concerned with the promotion of public health through science, with legitimate beneficiaries defined differently by different groups. Important challenges were risks to the interests of study participants, communities and originating researchers through stigmatisation, loss of privacy, impacting autonomy and unfair competition, including through forms of intentional and unintentional 'misuse' of data. Risks were also seen for science. Discussion Given background structural inequities in much international research, building trust in this low-to-middle income setting includes ensuring that the interests of study participants, primary communities and originating researchers will be promoted as far as possible, as well as protected. Important ways of building trust in data sharing include involving the public in policy development and implementation, promoting scientific collaborations around data sharing and building close partnerships between researchers and government health authorities to provide checks and balances on data sharing, and promote near and long-term translational benefits. PMID:26331716

International Space Station Utilization: Tracking Investigations from Objectives to Results

NASA Technical Reports Server (NTRS)

Ruttley, T. M.; Mayo, Susan; Robinson, J. A.

2011-01-01

Since the first module was assembled on the International Space Station (ISS), on-orbit investigations have been underway across all scientific disciplines. The facilities dedicated to research on ISS have supported over 1100 investigations from over 900 scientists representing over 60 countries. Relatively few of these investigations are tracked through the traditional NASA grants monitoring process and with ISS National Laboratory use growing, the ISS Program Scientist s Office has been tasked with tracking all ISS investigations from objectives to results. Detailed information regarding each investigation is now collected once, at the first point it is proposed for flight, and is kept in an online database that serves as a single source of information on the core objectives of each investigation. Different fields are used to provide the appropriate level of detail for research planning, astronaut training, and public communications. http://www.nasa.gov/iss-science/. With each successive year, publications of ISS scientific results, which are used to measure success of the research program, have shown steady increases in all scientific research areas on the ISS. Accurately identifying, collecting, and assessing the research results publications is a challenge and a priority for the ISS research program, and we will discuss the approaches that the ISS Program Science Office employs to meet this challenge. We will also address the online resources available to support outreach and communication of ISS research to the public. Keywords: International Space Station, Database, Tracking, Methods

Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework

PubMed Central

Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew

2015-01-01

Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists. PMID:25742012

Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework.

PubMed

Li, Zhenlong; Yang, Chaowei; Jin, Baoxuan; Yu, Manzhu; Liu, Kai; Sun, Min; Zhan, Matthew

2015-01-01

Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the massive amount of data is both computing and data intensive in that data analytics requires complex procedures and multiple tools. To tackle these challenges, a scientific workflow framework is proposed for big geoscience data analytics. In this framework techniques are proposed by leveraging cloud computing, MapReduce, and Service Oriented Architecture (SOA). Specifically, HBase is adopted for storing and managing big geoscience data across distributed computers. MapReduce-based algorithm framework is developed to support parallel processing of geoscience data. And service-oriented workflow architecture is built for supporting on-demand complex data analytics in the cloud environment. A proof-of-concept prototype tests the performance of the framework. Results show that this innovative framework significantly improves the efficiency of big geoscience data analytics by reducing the data processing time as well as simplifying data analytical procedures for geoscientists.

A scientific workflow framework for (13)C metabolic flux analysis.

PubMed

Dalman, Tolga; Wiechert, Wolfgang; Nöh, Katharina

2016-08-20

Metabolic flux analysis (MFA) with (13)C labeling data is a high-precision technique to quantify intracellular reaction rates (fluxes). One of the major challenges of (13)C MFA is the interactivity of the computational workflow according to which the fluxes are determined from the input data (metabolic network model, labeling data, and physiological rates). Here, the workflow assembly is inevitably determined by the scientist who has to consider interacting biological, experimental, and computational aspects. Decision-making is context dependent and requires expertise, rendering an automated evaluation process hardly possible. Here, we present a scientific workflow framework (SWF) for creating, executing, and controlling on demand (13)C MFA workflows. (13)C MFA-specific tools and libraries, such as the high-performance simulation toolbox 13CFLUX2, are wrapped as web services and thereby integrated into a service-oriented architecture. Besides workflow steering, the SWF features transparent provenance collection and enables full flexibility for ad hoc scripting solutions. To handle compute-intensive tasks, cloud computing is supported. We demonstrate how the challenges posed by (13)C MFA workflows can be solved with our approach on the basis of two proof-of-concept use cases. Copyright © 2015 Elsevier B.V. All rights reserved.

Ethical issues in perinatal mental health research.

PubMed

Brandon, Anna R; Shivakumar, Geetha; Lee, Simon Craddock; Inrig, Stephen J; Sadler, John Z

2009-11-01

To review the background of current ethical standards for the conduct of perinatal mental health research and describe the ethical challenges in this research domain. Current literature reflects a growing sentiment in the scientific community that having no information regarding the impact of psychiatric treatment on the mother and developing fetus/infant poses dangers that may exceed the risks involved in research. However, without sufficient consensus across the scientific community, both regulatory bodies and perinatal researchers find themselves without a framework for decision making that satisfactorily limits the risks and facilitates the benefits of participation of pregnant and lactating women in clinical research. Psychiatric research in perinatal mental health is critically important as it enables clinicians and patients to participate in informed decision-making concerning treatment for psychiatric disorders. Specific areas of concern include fetal safety, maternal risk, the therapeutic misconception, commercial interests, forensic/legal issues, the informed consent process, and study design. Developing guidelines that address ethical challenges and include the views and concerns of multiple stakeholders could improve the access of perinatal women to the benefits of participation in mental health research in addition to providing evidence-based mental healthcare for this subpopulation.

Culture’s building blocks: investigating cultural evolution in a LEGO construction task

PubMed Central

McGraw, John J.; Wallot, Sebastian; Mitkidis, Panagiotis; Roepstorff, Andreas

2014-01-01

One of the most essential but theoretically vexing issues regarding the notion of culture is that of cultural evolution and transmission: how a group’s accumulated solutions to invariant challenges develop and persevere over time. But at the moment, the notion of applying evolutionary theory to culture remains little more than a suggestive trope. Whereas the modern synthesis of evolutionary theory has provided an encompassing scientific framework for the selection and transmission of biological adaptations, a convincing theory of cultural evolution has yet to emerge. One of the greatest challenges for theorists is identifying the appropriate time scales and units of analysis in order to reduce the intractably large and complex phenomenon of “culture” into its component “building blocks.” In this paper, we present a model for scientifically investigating cultural processes by analyzing the ways people develop conventions in a series of LEGO construction tasks. The data revealed a surprising pattern in the selection of building bricks as well as features of car design across consecutive building sessions. Our findings support a novel methodology for studying the development and transmission of culture through the microcosm of interactive LEGO design and assembly. PMID:25309482

Culture's building blocks: investigating cultural evolution in a LEGO construction task.

PubMed

McGraw, John J; Wallot, Sebastian; Mitkidis, Panagiotis; Roepstorff, Andreas

2014-01-01

ONE OF THE MOST ESSENTIAL BUT THEORETICALLY VEXING ISSUES REGARDING THE NOTION OF CULTURE IS THAT OF CULTURAL EVOLUTION AND TRANSMISSION: how a group's accumulated solutions to invariant challenges develop and persevere over time. But at the moment, the notion of applying evolutionary theory to culture remains little more than a suggestive trope. Whereas the modern synthesis of evolutionary theory has provided an encompassing scientific framework for the selection and transmission of biological adaptations, a convincing theory of cultural evolution has yet to emerge. One of the greatest challenges for theorists is identifying the appropriate time scales and units of analysis in order to reduce the intractably large and complex phenomenon of "culture" into its component "building blocks." In this paper, we present a model for scientifically investigating cultural processes by analyzing the ways people develop conventions in a series of LEGO construction tasks. The data revealed a surprising pattern in the selection of building bricks as well as features of car design across consecutive building sessions. Our findings support a novel methodology for studying the development and transmission of culture through the microcosm of interactive LEGO design and assembly.

A proposed global metric to aid mercury pollution policy

NASA Astrophysics Data System (ADS)

Selin, Noelle E.

2018-05-01

The Minamata Convention on Mercury entered into force in August 2017, committing its currently 92 parties to take action to protect human health and the environment from anthropogenic emissions and releases of mercury. But how can we tell whether the convention is achieving its objective? Although the convention requires periodic effectiveness evaluation (1), scientific uncertainties challenge our ability to trace how mercury policies translate into reduced human and wildlife exposure and impacts. Mercury emissions to air and releases to land and water follow a complex path through the environment before accumulating as methylmercury in fish, mammals, and birds. As these environmental processes are both uncertain and variable, analyzing existing data alone does not currently provide a clear signal of whether policies are effective. A global-scale metric to assess the impact of mercury emissions policies would help parties assess progress toward the convention's goal. Here, I build on the example of the Montreal Protocol on Substances that Deplete the Ozone Layer to identify criteria for a mercury metric. I then summarize why existing mercury data are insufficient and present and discuss a proposed new metric based on mercury emissions to air. Finally, I identify key scientific uncertainties that challenge future effectiveness evaluation.

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible

DOE Office of Scientific and Technical Information (OSTI.GOV)

Venkatakrishnan, S. V.; Mohan, K. Aditya; Beattie, Keith

2016-02-14

Synchrotrons such as the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory are known as user facilities. They are sources of extremely bright X-ray beams, and scientists come from all over the world to perform experiments that require these beams. As the complexity of experiments has increased, and the size and rates of data sets has exploded, managing, analyzing and presenting the data collected at synchrotrons has been an increasing challenge. The ALS has partnered with high performance computing, fast networking, and applied mathematics groups to create a"super-facility", giving users simultaneous access to the experimental, computational, and algorithmic resourcesmore » to overcome this challenge. This combination forms an efficient closed loop, where data despite its high rate and volume is transferred and processed, in many cases immediately and automatically, on appropriate compute resources, and results are extracted, visualized, and presented to users or to the experimental control system, both to provide immediate insight and to guide decisions about subsequent experiments during beam-time. In this paper, We will present work done on advanced tomographic reconstruction algorithms to support users of the 3D micron-scale imaging instrument (Beamline 8.3.2, hard X-ray micro-tomography).« less

Ecological Equivalence Assessment Methods: What Trade-Offs between Operationality, Scientific Basis and Comprehensiveness?

PubMed

Bezombes, Lucie; Gaucherand, Stéphanie; Kerbiriou, Christian; Reinert, Marie-Eve; Spiegelberger, Thomas

2017-08-01

In many countries, biodiversity compensation is required to counterbalance negative impacts of development projects on biodiversity by carrying out ecological measures, called offset when the goal is to reach "no net loss" of biodiversity. One main issue is to ensure that offset gains are equivalent to impact-related losses. Ecological equivalence is assessed with ecological equivalence assessment methods taking into account a range of key considerations that we summarized as ecological, spatial, temporal, and uncertainty. When equivalence assessment methods take into account all considerations, we call them "comprehensive". Equivalence assessment methods should also aim to be science-based and operational, which is challenging. Many equivalence assessment methods have been developed worldwide but none is fully satisfying. In the present study, we examine 13 equivalence assessment methods in order to identify (i) their general structure and (ii) the synergies and trade-offs between equivalence assessment methods characteristics related to operationality, scientific-basis and comprehensiveness (called "challenges" in his paper). We evaluate each equivalence assessment methods on the basis of 12 criteria describing the level of achievement of each challenge. We observe that all equivalence assessment methods share a general structure, with possible improvements in the choice of target biodiversity, the indicators used, the integration of landscape context and the multipliers reflecting time lags and uncertainties. We show that no equivalence assessment methods combines all challenges perfectly. There are trade-offs between and within the challenges: operationality tends to be favored while scientific basis are integrated heterogeneously in equivalence assessment methods development. One way of improving the challenges combination would be the use of offset dedicated data-bases providing scientific feedbacks on previous offset measures.

A case-study of a socio-scientific issues curricular and pedagogical intervention in an undergraduate microbiology course: A focus on informal reasoning

NASA Astrophysics Data System (ADS)

Schalk, Kelly A.

The purpose of this investigation was to measure specific ways a student interest SSI-based curricular and pedagogical affects undergraduates' ability informally reason. The delimited components of informal reasoning measured were undergraduates' Nature of Science conceptualizations and ability to evaluate scientific information. The socio-scientific issues (SSI) theoretical framework used in this case-study has been advocated as a means for improving students' functional scientific literacy. This investigation focused on the laboratory component of an undergraduate microbiology course in spring 2008. There were 26 participants. The instruments used in this study included: (1) Individual and Group research projects, (2) journals, (3) laboratory write-ups, (4) a laboratory quiz, (5) anonymous evaluations, and (6) a pre/post article exercise. All instruments yielded qualitative data, which were coded using the qualitative software NVivo7. Data analyses were subjected to instrumental triangulation, inter-rater reliability, and member-checking. It was determined that undergraduates' epistemological knowledge of scientific discovery, processes, and justification matured in response to the intervention. Specifically, students realized: (1) differences between facts, theories, and opinions; (2) testable questions are not definitively proven; (3) there is no stepwise scientific process; and (4) lack of data weakens a claim. It was determined that this knowledge influenced participants' beliefs and ability to informally reason. For instance, students exhibited more critical evaluations of scientific information. It was also found that undergraduates' prior opinions had changed over the semester. Further, the student interest aspect of this framework engaged learners by offering participants several opportunities to influentially examine microbiology issues that affected their life. The investigation provided empirically based insights into the ways undergraduates' interest and functional scientific literacy can be promoted. The investigation advanced what was known about using SSI-based frameworks to the post-secondary learner context. Outstanding questions remain for investigation. For example, is this type of student interest SSI-based intervention broadly applicable (i.e., in other science disciplines and grade levels)? And, what challenges would teachers in diverse contexts encounter when implementing a SSI-based theoretical framework?

A "Semantic" View of Scientific Models for Science Education

ERIC Educational Resources Information Center

Adúriz-Bravo, Agustín

2013-01-01

In this paper I inspect a "semantic" view of scientific models taken from contemporary philosophy of science-I draw upon the so-called "semanticist family", which frontally challenges the received, syntactic conception of scientific theories. I argue that a semantic view may be of use both for science education in the…

Modeling and Intervening across Time in Scientific Inquiry Exploratory Learning Environment

ERIC Educational Resources Information Center

Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk; Chong, Yen-Kuan

2008-01-01

This article aims at discussing how Dynamic Decision Network (DDN) can be employed to tackle the challenges in modeling temporally variable scientific inquiry skills and provision of adaptive pedagogical interventions in INQPRO, a scientific inquiry exploratory learning environment for learning O'level Physics. We begin with an overview of INQPRO…

Using Scientific Enquiry to Make Sense of Global Challenges

ERIC Educational Resources Information Center

Hogg, Max

2010-01-01

In a context where the science underlying global issues such as climate change often loses out to political opinions and distortions, science teachers have a unique and very important role. Science teachers can use global-learning approaches to encourage learners to develop skills in scientific enquiry and critical analysis of scientific issues.…

Building Student Proficiency with Scientific Literature Using the Zotero Reference Manager Platform

ERIC Educational Resources Information Center

Kim, Thomas

2011-01-01

While mastery of the scientific literature is a strongly desirable trait for undergraduate students, the sheer volume of the current literature has complicated the challenge of teaching scientific literacy. Part of the response to this ever-increasing volume of resources includes formal instruction in the use of reference manager software while…

Agnotology as a Teaching Tool: Learning Climate Science by Studying Misinformation

ERIC Educational Resources Information Center

Bedford, Daniel

2010-01-01

Despite the existence of a clear scientific consensus about global warming, opinion surveys find confusion among the American public, regarding both scientific issues and the strength of the scientific consensus. Evidence increasingly points to misinformation as a contributing factor. This situation is both a challenge and an opportunity for…

Research and Teaching: Undergraduate Students' Scientifically Informed Decision Making about Socio-Hydrological Issues

ERIC Educational Resources Information Center

Sabel, Jaime L.; Vo, Tina; Alred, Ashley; Dauer, Jenny M.; Forbes, Cory T.

2017-01-01

Although knowledge of disciplinary concepts and epistemic understanding of science are foundations of scientific literacy, students must learn to apply their knowledge to real-world situations. To engage effectively with contemporary water-related challenges with scientific and social dimensions, students need to understand the properties of water…

Bim Automation: Advanced Modeling Generative Process for Complex Structures

NASA Astrophysics Data System (ADS)

Banfi, F.; Fai, S.; Brumana, R.

2017-08-01

The new paradigm of the complexity of modern and historic structures, which are characterised by complex forms, morphological and typological variables, is one of the greatest challenges for building information modelling (BIM). Generation of complex parametric models needs new scientific knowledge concerning new digital technologies. These elements are helpful to store a vast quantity of information during the life cycle of buildings (LCB). The latest developments of parametric applications do not provide advanced tools, resulting in time-consuming work for the generation of models. This paper presents a method capable of processing and creating complex parametric Building Information Models (BIM) with Non-Uniform to NURBS) with multiple levels of details (Mixed and ReverseLoD) based on accurate 3D photogrammetric and laser scanning surveys. Complex 3D elements are converted into parametric BIM software and finite element applications (BIM to FEA) using specific exchange formats and new modelling tools. The proposed approach has been applied to different case studies: the BIM of modern structure for the courtyard of West Block on Parliament Hill in Ottawa (Ontario) and the BIM of Masegra Castel in Sondrio (Italy), encouraging the dissemination and interaction of scientific results without losing information during the generative process.

Management, Analysis, and Visualization of Experimental and Observational Data – The Convergence of Data and Computing

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bethel, E. Wes; Greenwald, Martin; Kleese van Dam, Kerstin

Scientific user facilities—particle accelerators, telescopes, colliders, supercomputers, light sources, sequencing facilities, and more—operated by the U.S. Department of Energy (DOE) Office of Science (SC) generate ever increasing volumes of data at unprecedented rates from experiments, observations, and simulations. At the same time there is a growing community of experimentalists that require real-time data analysis feedback, to enable them to steer their complex experimental instruments to optimized scientific outcomes and new discoveries. Recent efforts in DOE-SC have focused on articulating the data-centric challenges and opportunities facing these science communities. Key challenges include difficulties coping with data size, rate, and complexity inmore » the context of both real-time and post-experiment data analysis and interpretation. Solutions will require algorithmic and mathematical advances, as well as hardware and software infrastructures that adequately support data-intensive scientific workloads. This paper presents the summary findings of a workshop held by DOE-SC in September 2015, convened to identify the major challenges and the research that is needed to meet those challenges.« less

Management, Analysis, and Visualization of Experimental and Observational Data -- The Convergence of Data and Computing

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bethel, E. Wes; Greenwald, Martin; Kleese van Dam, Kersten

Scientific user facilities---particle accelerators, telescopes, colliders, supercomputers, light sources, sequencing facilities, and more---operated by the U.S. Department of Energy (DOE) Office of Science (SC) generate ever increasing volumes of data at unprecedented rates from experiments, observations, and simulations. At the same time there is a growing community of experimentalists that require real-time data analysis feedback, to enable them to steer their complex experimental instruments to optimized scientific outcomes and new discoveries. Recent efforts in DOE-SC have focused on articulating the data-centric challenges and opportunities facing these science communities. Key challenges include difficulties coping with data size, rate, and complexity inmore » the context of both real-time and post-experiment data analysis and interpretation. Solutions will require algorithmic and mathematical advances, as well as hardware and software infrastructures that adequately support data-intensive scientific workloads. This paper presents the summary findings of a workshop held by DOE-SC in September 2015, convened to identify the major challenges and the research that is needed to meet those challenges.« less

Building a More Diverse Workforce in HIV/AIDS Research: The Time has Come.

PubMed

Stoff, David M; Cargill, Victoria A

2016-09-01

Investigators from diverse racial and ethnic backgrounds are grossly underrepresented in the nation's biomedical research enterprise. Projections of current demographic trends suggest that population growth rates of minority populations will outpace that of the Caucasian population by 2060. Thus, this workforce will remain a poor reflection of the U.S. As a result of this underrepresentation of all sectors of the U.S. populace, the majority of the HIV research involving minority populations-those disproportionately impacted by HIV infection-will be conducted by investigators who do not resemble them. Although this does not necessarily preclude scientifically valid and important research, it produces research without the important cultural and contextual issues that can enhance the utility and generalizability of specific findings or interventions. The goal of this review is to not only raise awareness of the small numbers of minority investigators engaged in biomedical research, but also to identify the challenges to recruiting and retaining these investigators. In this article, while we discuss issues of diversity in general, the focus will be upon the mental health aspects of the HIV epidemic for illustrative purposes: to demonstrate the issues associated with enhancing investigator diversity as a strategy for remediating the chronic shortage of historically underrepresented investigators in scientific research. After presenting the magnitude of the problem and a rationale for enhancing diversity of the biomedical research workforce, we identify a number of potential reasons and challenges for the shortage of minority investigators. Aspects of the mentoring process, together with ten key suggestions, are discussed as the backdrop for the supplement papers that follow (dealing with mentoring principles, challenges, and mentoring-related issues on mentee, mentor, mentee-mentor relationship, and programs). By identifying these realities we hope to: (1) promote greater discussions of these challenges in academic institutions and settings; (2) suggest meaningful strategies to address these challenges; and (3) foster a national discussion about the long-term investment necessary for permanent change, as there are no easy 'fixes' for these challenges.

Scientific Challenges in the Risk Assessment of Food Contact Materials.

PubMed

Muncke, Jane; Backhaus, Thomas; Geueke, Birgit; Maffini, Maricel V; Martin, Olwenn Viviane; Myers, John Peterson; Soto, Ana M; Trasande, Leonardo; Trier, Xenia; Scheringer, Martin

2017-09-11

Food contact articles (FCAs) are manufactured from food contact materials (FCMs) that include plastics, paper, metal, glass, and printing inks. Chemicals can migrate from FCAs into food during storage, processing, and transportation. Food contact materials' safety is evaluated using chemical risk assessment (RA). Several challenges to the RA of FCAs exist. We review regulatory requirements for RA of FCMs in the United States and Europe, identify gaps in RA, and highlight opportunities for improving the protection of public health. We intend to initiate a discussion in the wider scientific community to enhance the safety of food contact articles. Based on our evaluation of the evidence, we conclude that current regulations are insufficient for addressing chemical exposures from FCAs. RA currently focuses on monomers and additives used in the manufacture of products, but it does not cover all substances formed in the production processes. Several factors hamper effective RA for many FCMs, including a lack of information on chemical identity, inadequate assessment of hazardous properties, and missing exposure data. Companies make decisions about the safety of some food contact chemicals (FCCs) without review by public authorities. Some chemical migration limits cannot be enforced because analytical standards are unavailable. We think that exposures to hazardous substances migrating from FCAs require more attention. We recommend a ) limiting the number and types of chemicals authorized for manufacture and b ) developing novel approaches for assessing the safety of chemicals in FCAs, including unidentified chemicals that form during or after production. https://doi.org/10.1289/EHP644.

Continental geodynamics and mineral exploration - the Western Australian perspective

NASA Astrophysics Data System (ADS)

Gessner, Klaus; Murdie, Ruth; Yuan, Huaiyu; Brisbout, Lucy; Sippl, Christian; Tyler, Ian; Kirkland, Chris; Wingate, Michael; Johnson, Simon; Spaggiari, Catherine; Smithies, Hugh; Lu, Yongjun; Gonzalez, Chris; Jessell, Mark; Holden, Eun-Jung; Gorczyk, Weronika; Occhipinti, Sandra

2017-04-01

The exploration for mineral resources and their extraction has been a fundamental human activity since the dawn of civilisation: Geology is everywhere - ore deposits are rare. Most deposits were found at or near Earth's surface, often by chance or serendipity. To meet the challenge of future demand, successful exploration requires the use of advanced technology and scientific methods to identify targets at depth. Whereas the use and development of high-tech exploration, extraction and processing methods is of great significance, understanding how, when and where dynamic Earth systems become ore-forming systems is a difficult scientific challenge. Ore deposits often form by a complex interplay of coupled physical processes with evolving geological structure. The mineral systems approach states that understanding the geodynamic and tectonic context of crustal scale hydrothermal fluid flow and magmatism can help constrain the spatial extent of heat and mass transport and therefore improve targeting success in mineral exploration. Tasked with promoting the geological assets of one of the World's largest and most resource-rich jurisdictions, the Geological Survey of Western Australia is breaking new ground by systematically collecting and integrating geophysical, geological and geochemical data with the objective to reveal critical ties between lithospheric evolution and mineral deposits. We present examples where this approach has led to fundamental reinterpretations of Archean and Proterozoic geodynamics and the nature of tectonic domains and their boundaries, including cases where geodynamic modelling has played an important role in testing hypotheses of crustal evolution.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, Gang

"Battle against Phonons" was submitted by the Solid State Solar Thermal Energy Conversion (S3TEC) EFRC to the "Life at the Frontiers of Energy Research" video contest at the 2011 Science for Our Nation's Energy Future: Energy Frontier Research Centers (EFRCs) Summit and Forum. Twenty-six EFRCs created short videos to highlight their mission and their work. This video was selected as one of five winners by a distinguished panel of judges for the special award, "Best with Popcorn". S3TEC, an EFRC directed by Gang Chen at the Massachusetts Institute of Technology is a partnership of scientists from four research institutions: MITmore » (lead), Oak Ridge National Laboratory, Boston College, and Rensselaer Polytechnic Institute. The Office of Basic Energy Sciences in the U.S. Department of Energy's Office of Science established the 46 Energy Frontier Research Centers (EFRCs) in 2009. These collaboratively-organized centers conduct fundamental research focused on 'grand challenges' and use-inspired 'basic research needs' recently identified in major strategic planning efforts by the scientific community. The overall purpose is to accelerate scientific progress toward meeting the nation's critical energy challenges. The mission of the Solid-State Solar Thermal Energy Conversion Center is 'to create novel, solid-state materials for the conversion of sunlight into electricity using thermal and photovoltaic processes.' Research topics are: solar photovoltaic, photonic, metamaterial, optics, solar thermal, thermoelectric, phonons, thermal conductivity, defects, ultrafast physics, interfacial characterization, matter by design, novel materials synthesis, charge transport, defect tolerant materials, and scalable processing.« less

Model-based reasoning in the physics laboratory: Framework and initial results

NASA Astrophysics Data System (ADS)

Zwickl, Benjamin M.; Hu, Dehui; Finkelstein, Noah; Lewandowski, H. J.

2015-12-01

[This paper is part of the Focused Collection on Upper Division Physics Courses.] We review and extend existing frameworks on modeling to develop a new framework that describes model-based reasoning in introductory and upper-division physics laboratories. Constructing and using models are core scientific practices that have gained significant attention within K-12 and higher education. Although modeling is a broadly applicable process, within physics education, it has been preferentially applied to the iterative development of broadly applicable principles (e.g., Newton's laws of motion in introductory mechanics). A significant feature of the new framework is that measurement tools (in addition to the physical system being studied) are subjected to the process of modeling. Think-aloud interviews were used to refine the framework and demonstrate its utility by documenting examples of model-based reasoning in the laboratory. When applied to the think-aloud interviews, the framework captures and differentiates students' model-based reasoning and helps identify areas of future research. The interviews showed how students productively applied similar facets of modeling to the physical system and measurement tools: construction, prediction, interpretation of data, identification of model limitations, and revision. Finally, we document students' challenges in explicitly articulating assumptions when constructing models of experimental systems and further challenges in model construction due to students' insufficient prior conceptual understanding. A modeling perspective reframes many of the seemingly arbitrary technical details of measurement tools and apparatus as an opportunity for authentic and engaging scientific sense making.

The Design and Evaluation of "CAPTools"--A Computer Aided Parallelization Toolkit

NASA Technical Reports Server (NTRS)

Yan, Jerry; Frumkin, Michael; Hribar, Michelle; Jin, Haoqiang; Waheed, Abdul; Johnson, Steve; Cross, Jark; Evans, Emyr; Ierotheou, Constantinos; Leggett, Pete;

Addressing the regulatory and scientific challenges in multiple sclerosis--a statement from the EU regulators.

PubMed

Balabanov, Pavel; Haas, Manuel; Elferink, Andre; Bakchine, Serge; Broich, Karl

2014-09-01

Improving and facilitating the process of making new drugs available to patients with multiple sclerosis (MS) requires cooperation among the regulators and other stakeholders. This cooperation will also positively contribute towards developing guidelines of the highest quality in medical, regulatory and scientific aspects. This would be beneficial both in areas that require further guideline development, but also in fields where existing guidance should be adapted to take into account evolution in science. Considering the input from all stakeholders, the European Medicines Agency confirmed its intention to update the relevant guideline and apply a flexible approach towards new drug development strategies in MS. This article is the first official position from the EU regulators, presenting the main changes to be expected in the guidance document. © The Author(s) 2014.

LSST Astroinformatics And Astrostatistics: Data-oriented Astronomical Research

NASA Astrophysics Data System (ADS)

Borne, Kirk D.; Stassun, K.; Brunner, R. J.; Djorgovski, S. G.; Graham, M.; Hakkila, J.; Mahabal, A.; Paegert, M.; Pesenson, M.; Ptak, A.; Scargle, J.; Informatics, LSST; Statistics Team

2011-01-01

The LSST Informatics and Statistics Science Collaboration (ISSC) focuses on research and scientific discovery challenges posed by the very large and complex data collection that LSST will generate. Application areas include astroinformatics, machine learning, data mining, astrostatistics, visualization, scientific data semantics, time series analysis, and advanced signal processing. Research problems to be addressed with these methodologies include transient event characterization and classification, rare class discovery, correlation mining, outlier/anomaly/surprise detection, improved estimators (e.g., for photometric redshift or early onset supernova classification), exploration of highly dimensional (multivariate) data catalogs, and more. We present sample science results from these data-oriented approaches to large-data astronomical research. We present results from LSST ISSC team members, including the EB (Eclipsing Binary) Factory, the environmental variations in the fundamental plane of elliptical galaxies, and outlier detection in multivariate catalogs.

Teaching Cell Biology to Dental Students with a Project-Based Learning Approach.

PubMed

Costa-Silva, Daniela; Côrtes, Juliana A; Bachinski, Rober F; Spiegel, Carolina N; Alves, Gutemberg G

2018-03-01

Although the discipline of cell biology (CB) is part of the curricula of predoctoral dental schools, students often fail to recognize its practical relevance. The aim of this study was to assess the effectiveness of a practical-theoretical project-based course in closing the gaps among CB, scientific research, and dentistry for dental students. A project-based learning course was developed with nine sequential lessons to evaluate 108 undergraduate dental students enrolled in CB classes of a Brazilian school of dentistry during 2013-16. To highlight the relevance of in vitro studies in the preclinical evaluation of dental materials at the cellular level, the students were challenged to complete the process of drafting a protocol and performing a cytocompatibility assay for a bone substitute used in dentistry. Class activities included small group discussions, scientific database search and article presentations, protocol development, lab experimentation, and writing of a final scientific report. A control group of 31 students attended only one laboratory class on the same theme, and the final reports were compared between the two groups. The results showed that the project-based learning students had superior outcomes in acknowledging the relevance of in vitro methods during biocompatibility testing. Moreover, they produced scientifically sound reports with more content on methodological issues, the relationship with dentistry, and the scientific literature than the control group (p<0.05). The project-based learning students also recognized a higher relevance of scientific research and CB to dental practice. These results suggest that a project-based approach can help contextualize scientific research in dental curricula.

Policy for Robust Space-based Earth Science, Technology and Applications

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Escobar, Vanessa M.; Macauley, Molly; Aschbacher, Josef; Milagro-Perez, Maria Pilar; Doorn, Bradley; Friedl, Lawrence

2012-01-01

Over the past six decades, satellite remote sensing technology has contributed to the transformation of using earth science not only to advance science, but to improve quality of life. With satellite missions launched almost every year, new types of earth science data are being incorporated into science, models and decision-making systems in a broad array of organizations. A challenge for space agencies has been ensuring that satellite missions serve both the scientific community and the applied community of decision makers without the missions becoming unfocused and overly expensive. By understanding and considering the needs of the environmental data and applied research user community early on in the mission-design process, agencies can ensure that satellites meet the needs of multiple constituencies. This paper describes the mission development process in the European Space Agency and the National Aeronautics and Space Administration and compares and contrasts the successes of and challenges faced by these agencies in balancing science and applications within their missions.

Some considerations concerning the challenge of incorporating social variables into epidemiological models of infectious disease transmission.

PubMed

Barnett, Tony; Fournié, Guillaume; Gupta, Sunetra; Seeley, Janet

2015-01-01

Incorporation of 'social' variables into epidemiological models remains a challenge. Too much detail and models cease to be useful; too little and the very notion of infection - a highly social process in human populations - may be considered with little reference to the social. The French sociologist Émile Durkheim proposed that the scientific study of society required identification and study of 'social currents'. Such 'currents' are what we might today describe as 'emergent properties', specifiable variables appertaining to individuals and groups, which represent the perspectives of social actors as they experience the environment in which they live their lives. Here we review the ways in which one particular emergent property, hope, relevant to a range of epidemiological situations, might be used in epidemiological modelling of infectious diseases in human populations. We also indicate how such an approach might be extended to include a range of other potential emergent properties to represent complex social and economic processes bearing on infectious disease transmission.

The use of benthic indicators in Europe: from the Water Framework Directive to the Marine Strategy Framework Directive.

PubMed

Van Hoey, Gert; Borja, Angel; Birchenough, Silvana; Buhl-Mortensen, Lene; Degraer, Steven; Fleischer, Dirk; Kerckhof, Francis; Magni, Paolo; Muxika, Iñigo; Reiss, Henning; Schröder, Alexander; Zettler, Michael L

2010-12-01

The Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD) are the European umbrella regulations for water systems. It is a challenge for the scientific community to translate the principles of these directives into realistic and accurate approaches. The aim of this paper, conducted by the Benthos Ecology Working Group of ICES, is to describe how the principles have been translated, which were the challenges and best way forward. We have tackled the following principles: the ecosystem-based approach, the development of benthic indicators, the definition of 'pristine' or sustainable conditions, the detection of pressures and the development of monitoring programs. We concluded that testing and integrating the different approaches was facilitated during the WFD process, which led to further insights and improvements, which the MSFD can rely upon. Expert involvement in the entire implementation process proved to be of vital importance. Copyright © 2010 Elsevier Ltd. All rights reserved.

Multimedia content analysis, management and retrieval: trends and challenges

NASA Astrophysics Data System (ADS)

Hanjalic, Alan; Sebe, Nicu; Chang, Edward

2006-01-01

Recent advances in computing, communications and storage technology have made multimedia data become prevalent. Multimedia has gained enormous potential in improving the processes in a wide range of fields, such as advertising and marketing, education and training, entertainment, medicine, surveillance, wearable computing, biometrics, and remote sensing. Rich content of multimedia data, built through the synergies of the information contained in different modalities, calls for new and innovative methods for modeling, processing, mining, organizing, and indexing of this data for effective and efficient searching, retrieval, delivery, management and sharing of multimedia content, as required by the applications in the abovementioned fields. The objective of this paper is to present our views on the trends that should be followed when developing such methods, to elaborate on the related research challenges, and to introduce the new conference, Multimedia Content Analysis, Management and Retrieval, as a premium venue for presenting and discussing these methods with the scientific community. Starting from 2006, the conference will be held annually as a part of the IS&T/SPIE Electronic Imaging event.

Analysis of pan-African Centres of excellence in health innovation highlights opportunities and challenges for local innovation and financing in the continent.

PubMed

Nwaka, Solomon; Ochem, Alexander; Besson, Dominique; Ramirez, Bernadette; Fakorede, Foluke; Botros, Sanaa; Inyang, Uford; Mgone, Charles; Adae-Mensah, Ivan; Konde, Victor; Nyasse, Barthelemy; Okole, Blessed; Guantai, Anastasia; Loots, Glaudina; Atadja, Peter; Ndumbe, Peter; Sanou, Issa; Olesen, Ole; Ridley, Robert; Ilunga, Tshinko

2012-07-27

A pool of 38 pan-African Centres of Excellence (CoEs) in health innovation has been selected and recognized by the African Network for Drugs and Diagnostics Innovation (ANDI), through a competitive criteria based process. The process identified a number of opportunities and challenges for health R&D and innovation in the continent: i) it provides a direct evidence for the existence of innovation capability that can be leveraged to fill specific gaps in the continent; ii) it revealed a research and financing pattern that is largely fragmented and uncoordinated, and iii) it highlights the most frequent funders of health research in the continent. The CoEs are envisioned as an innovative network of public and private institutions with a critical mass of expertise and resources to support projects and a variety of activities for capacity building and scientific exchange, including hosting fellows, trainees, scientists on sabbaticals and exchange with other African and non-African institutions.

Analysis of pan-African Centres of excellence in health innovation highlights opportunities and challenges for local innovation and financing in the continent

PubMed Central

2012-01-01

A pool of 38 pan-African Centres of Excellence (CoEs) in health innovation has been selected and recognized by the African Network for Drugs and Diagnostics Innovation (ANDI), through a competitive criteria based process. The process identified a number of opportunities and challenges for health R&D and innovation in the continent: i) it provides a direct evidence for the existence of innovation capability that can be leveraged to fill specific gaps in the continent; ii) it revealed a research and financing pattern that is largely fragmented and uncoordinated, and iii) it highlights the most frequent funders of health research in the continent. The CoEs are envisioned as an innovative network of public and private institutions with a critical mass of expertise and resources to support projects and a variety of activities for capacity building and scientific exchange, including hosting fellows, trainees, scientists on sabbaticals and exchange with other African and non-African institutions. PMID:22838941

[The certification of advanced therapy medicinal products. A quality label for product development in small and medium-sized enterprises].

PubMed

Berger, A; Schüle, S; Flory, E

2011-07-01

Advanced therapy medicinal products (ATMPs) are gene therapy, cell therapy, and tissue engineered products. To gain access to the market within the European Union, ATMPs must be authorized by the European Commission (EC). Especially for small and medium-sized enterprises (SMEs), the European centralized procedure of marketing authorization that is conducted by the European Medicines Agency (EMA) constitutes a major challenge, because SMEs often have little experience with regulatory procedures and many have limited financial possibilities. To tackle these challenges, a certification procedure exclusively for SMEs and their ATMP development was introduced by the EC. Independently from a marketing authorization application, development and/or production processes can be certified. An issued certificate demonstrates that the respective process meets the current regulatory and scientific requirements of the EMA, representing a valuable milestone for putative investors and licensees. This article highlights the background, the detailed procedure, the minimum requirements, as well as the costs of certification, while giving further noteworthy guidance for interested parties.

Knowledge creation through total clinical outcomes management: a practice-based evidence solution to address some of the challenges of knowledge translation.

PubMed

Lyons, John S

2009-02-01

The challenges of knowledge translation in behavioural health care are unique to this field for a variety of reasons including the fact that effective treatment is invariably embedded in a strong relationship between practitioners and the people they serve. Practitioners' knowledge gained from experience and intuition become an even more important consideration in the knowledge translation process since clinicians are, in fact, a component of most treatments. Communication of findings from science must be conceptualized with sensitivity to this reality. Considering knowledge translation as a communication process suggests the application of contemporary theories of communication which emphasize the creation of shared meaning over the transmission of knowledge from one person to the next. In this context outcomes management approaches to create a learning environment within clinical practices that facilitate the goals of knowledge transfer while respecting that the scientific enterprise is neither the sole nor primary repository of knowledge.

Modelling the impacts of pests and diseases on agricultural systems.

PubMed

Donatelli, M; Magarey, R D; Bregaglio, S; Willocquet, L; Whish, J P M; Savary, S

2017-07-01

The improvement and application of pest and disease models to analyse and predict yield losses including those due to climate change is still a challenge for the scientific community. Applied modelling of crop diseases and pests has mostly targeted the development of support capabilities to schedule scouting or pesticide applications. There is a need for research to both broaden the scope and evaluate the capabilities of pest and disease models. Key research questions not only involve the assessment of the potential effects of climate change on known pathosystems, but also on new pathogens which could alter the (still incompletely documented) impacts of pests and diseases on agricultural systems. Yield loss data collected in various current environments may no longer represent a adequate reference to develop tactical, decision-oriented, models for plant diseases and pests and their impacts, because of the ongoing changes in climate patterns. Process-based agricultural simulation modelling, on the other hand, appears to represent a viable methodology to estimate the impacts of these potential effects. A new generation of tools based on state-of-the-art knowledge and technologies is needed to allow systems analysis including key processes and their dynamics over appropriate suitable range of environmental variables. This paper offers a brief overview of the current state of development in coupling pest and disease models to crop models, and discusses technical and scientific challenges. We propose a five-stage roadmap to improve the simulation of the impacts caused by plant diseases and pests; i) improve the quality and availability of data for model inputs; ii) improve the quality and availability of data for model evaluation; iii) improve the integration with crop models; iv) improve the processes for model evaluation; and v) develop a community of plant pest and disease modelers.

An Investigation of How Black STEM Faculty at Historically Black Colleges and Universities Approach the National Science Foundation Merit Review Process

NASA Astrophysics Data System (ADS)

Rankins, Falcon

This qualitative inquiry explored the ways in which US-born, Black faculty member participants in science, technology, engineering, and mathematics (STEM) disciplines at Historically Black Colleges and Universities (HBCUs) interact with the National Science Foundation (NSF). Eight Black HBCU STEM faculty members with a range of involvement in NSF-related activities were individually interviewed. Topics of discussion with participants included their prior experiences with NSF, their understanding of the merit review process, and their understanding of their personal and institutional relationships with NSF and the STEM community. Two broad findings emerged from the conversations. The first was that issues of communities and social identity were important to the participants' work as research scientists. Participants prioritized advancing people and communities over advancing the knowledge of ambiguous, disembodied scientific disciplines, and some participants were motivated by interests in social justice. However, participants maintained strong identities as scientists and the discussions provided no evidence that other social factors influenced their application of the scientific method. The second major finding dealt with the role participants perceived their institutions playing in their involvement with NSF. All participants described challenges associated with pursuing research in HBCU environments and, in some cases, the institutional challenges served as the motivation for participants' projects, with varying consequences. The participants' discussions about their institutions also raised important questions about how well-aligned participants' visions are with the visions of their institutional leadership, regarding how research should be incorporated into the HBCU mission. Finally, this study developed and refined a theoretical framework for explaining the underrepresentation of HBCUs in NSF funding streams. In developing this framework, a brief history of the origination of HBCUs, NSF, and the NSF merit review process is presented.

Performance assessments of nuclear waste repositories--A dialogue on their value and limitations

USGS Publications Warehouse

Ewing, Rodney C.; Tierney, Martin S.; Konikow, Leonard F.; Rechard, Rob P.

1999-01-01

Performance Assessment (PA) is the use of mathematical models to simulate the long-term behavior of engineered and geologic barriers in a nuclear waste repository; methods of uncertainty analysis are used to assess effects of parametric and conceptual uncertainties associated with the model system upon the uncertainty in outcomes of the simulation. PA is required by the U.S. Environmental Protection Agency as part of its certification process for geologic repositories for nuclear waste. This paper is a dialogue to explore the value and limitations of PA. Two “skeptics” acknowledge the utility of PA in organizing the scientific investigations that are necessary for confident siting and licensing of a repository; however, they maintain that the PA process, at least as it is currently implemented, is an essentially unscientific process with shortcomings that may provide results of limited use in evaluating actual effects on public health and safety. Conceptual uncertainties in a PA analysis can be so great that results can be confidently applied only over short time ranges, the antithesis of the purpose behind long-term, geologic disposal. Two “proponents” of PA agree that performance assessment is unscientific, but only in the sense that PA is an engineering analysis that uses existing scientific knowledge to support public policy decisions, rather than an investigation intended to increase fundamental knowledge of nature; PA has different goals and constraints than a typical scientific study. The “proponents” describe an ideal, sixstep process for conducting generalized PA, here called probabilistic systems analysis (PSA); they note that virtually all scientific content of a PA is introduced during the model-building steps of a PSA, they contend that a PA based on simple but scientifically acceptable mathematical models can provide useful and objective input to regulatory decision makers. The value of the results of any PA must lie between these two views and will depend on the level of knowledge of the site, the degree to which models capture actual physical and chemical processes, the time over which extrapolations are made, and the proper evaluation of health risks attending implementation of the repository. The challenge is in evaluating whether the quality of the PA matches the needs of decision makers charged with protecting the health and safety of the public.

Integrate Data into Scientific Workflows for Terrestrial Biosphere Model Evaluation through Brokers

NASA Astrophysics Data System (ADS)

Wei, Y.; Cook, R. B.; Du, F.; Dasgupta, A.; Poco, J.; Huntzinger, D. N.; Schwalm, C. R.; Boldrini, E.; Santoro, M.; Pearlman, J.; Pearlman, F.; Nativi, S.; Khalsa, S.

2013-12-01

Terrestrial biosphere models (TBMs) have become integral tools for extrapolating local observations and process-level understanding of land-atmosphere carbon exchange to larger regions. Model-model and model-observation intercomparisons are critical to understand the uncertainties within model outputs, to improve model skill, and to improve our understanding of land-atmosphere carbon exchange. The DataONE Exploration, Visualization, and Analysis (EVA) working group is evaluating TBMs using scientific workflows in UV-CDAT/VisTrails. This workflow-based approach promotes collaboration and improved tracking of evaluation provenance. But challenges still remain. The multi-scale and multi-discipline nature of TBMs makes it necessary to include diverse and distributed data resources in model evaluation. These include, among others, remote sensing data from NASA, flux tower observations from various organizations including DOE, and inventory data from US Forest Service. A key challenge is to make heterogeneous data from different organizations and disciplines discoverable and readily integrated for use in scientific workflows. This presentation introduces the brokering approach taken by the DataONE EVA to fill the gap between TBMs' evaluation scientific workflows and cross-organization and cross-discipline data resources. The DataONE EVA started the development of an Integrated Model Intercomparison Framework (IMIF) that leverages standards-based discovery and access brokers to dynamically discover, access, and transform (e.g. subset and resampling) diverse data products from DataONE, Earth System Grid (ESG), and other data repositories into a format that can be readily used by scientific workflows in UV-CDAT/VisTrails. The discovery and access brokers serve as an independent middleware that bridge existing data repositories and TBMs evaluation scientific workflows but introduce little overhead to either component. In the initial work, an OpenSearch-based discovery broker is leveraged to provide a consistent mechanism for data discovery. Standards-based data services, including Open Geospatial Consortium (OGC) Web Coverage Service (WCS) and THREDDS are leveraged to provide on-demand data access and transformations through the data access broker. To ease the adoption of broker services, a package of broker client VisTrails modules have been developed to be easily plugged into scientific workflows. The initial IMIF has been successfully tested in selected model evaluation scenarios involved in the NASA-funded Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP).

Supporting students' scientific explanations: A case study investigating the synergy focusing on a teacher's practices when providing instruction and using mobile devices

NASA Astrophysics Data System (ADS)

Delen, Ibrahim

Engage students in constructing scientific practices is a critical component of science instruction. Therefore a number of researchers have developed software programs to help students and teachers in this hard task. The Zydeco group, designed a mobile application called Zydeco, which enables students to collect data inside and outside the classroom, and then use the data to create scientific explanations by using claim-evidence-reasoning framework. Previous technologies designed to support scientific explanations focused on how these programs improve students' scientific explanations, but these programs ignored how scientific explanation technologies can support teacher practices. Thus, to increase our knowledge how different scaffolds can work together, this study aimed to portray the synergy between a teacher's instructional practices (part 1) and using supports within a mobile devices (part 2) to support students in constructing explanations. Synergy can be thought of as generic and content-specific scaffolds working together to enable students to accomplish challenging tasks, such as creating explanations that they would not normally be able to do without the scaffolds working together. Providing instruction (part 1) focused on understanding how the teacher scaffolds students' initial understanding of the claim-evidence-reasoning (CER) framework. The second component of examining synergy (part 2: using mobile devices) investigated how this teacher used mobile devices to provide feedback when students created explanations. The synergy between providing instruction and using mobile devices was investigated by analyzing a middle school teacher's practices in two different units (plants and water quality). Next, this study focused on describing how the level of synergy influenced the quality of students' scientific explanations. Finally, I investigated the role of focused teaching intervention sessions to inform teacher in relation to students' performance. In conclusion, findings of this study showed that the decrease in the teacher's support for claims, did not affect the quality of the students' claims. On the other hand, the quality of students' reasoning were linked with the teacher's practices. This suggests that when supporting students' explanations, focusing on components that students find challenging would benefit students' construction of explanations. To achieve synergy in this process, the collaboration between teacher's practices, focused teaching intervention sessions and scaffolds designed to support teachers played a crucial role in aiding students in creating explanations.

Integrating Data and Networks: Human Factors

NASA Astrophysics Data System (ADS)

Chen, R. S.

2012-12-01

The development of technical linkages and interoperability between scientific networks is a necessary but not sufficient step towards integrated use and application of networked data and information for scientific and societal benefit. A range of "human factors" must also be addressed to ensure the long-term integration, sustainability, and utility of both the interoperable networks themselves and the scientific data and information to which they provide access. These human factors encompass the behavior of both individual humans and human institutions, and include system governance, a common framework for intellectual property rights and data sharing, consensus on terminology, metadata, and quality control processes, agreement on key system metrics and milestones, the compatibility of "business models" in the short and long term, harmonization of incentives for cooperation, and minimization of disincentives. Experience with several national and international initiatives and research programs such as the International Polar Year, the Group on Earth Observations, the NASA Earth Observing Data and Information System, the U.S. National Spatial Data Infrastructure, the Global Earthquake Model, and the United Nations Spatial Data Infrastructure provide a range of lessons regarding these human factors. Ongoing changes in science, technology, institutions, relationships, and even culture are creating both opportunities and challenges for expanded interoperability of scientific networks and significant improvement in data integration to advance science and the use of scientific data and information to achieve benefits for society as a whole.

The research data alliance photon and neutron science interest group

DOE PAGES

Boehnlein, Amber; Matthews, Brian; Proffen, Thomas; ...

2015-04-01

Scientific research data provides unique challenges that are distinct from classic “Big Data” sources. One common element in research data is that the experiment, observations, or simulation were designed, and data were specifically acquired, to shed light on an open scientific question. The data and methods are usually “owned” by the researcher(s) and the data itself might not be viewed to have long-term scientific significance after the results have been published. Often, the data volume was relatively low, with data sometimes easier to reproduce than to catalog and store. Some data and meta-data were not collected in a digital form,more » or were stored on antiquated or obsolete media. Generally speaking, policies, tools, and management of digital research data have reflected an ad hoc approach that varies domain by domain and research group by research group. This model, which treats research data as disposable, is proving to be a serious limitation as the volume and complexity of research data explodes. Changes are required at every level of scientific research: within the individual groups, and across scientific domains and interdisciplinary collaborations. Enabling researchers to learn about available tools, processes, and procedures should encourage a spirit of cooperation and collaboration, allowing researchers to come together for the common good. In conclusion, these community-oriented efforts provide the potential for targeted projects with high impact.« less

The research data alliance photon and neutron science interest group

DOE Office of Scientific and Technical Information (OSTI.GOV)

Boehnlein, Amber; Matthews, Brian; Proffen, Thomas

Scientific research data provides unique challenges that are distinct from classic “Big Data” sources. One common element in research data is that the experiment, observations, or simulation were designed, and data were specifically acquired, to shed light on an open scientific question. The data and methods are usually “owned” by the researcher(s) and the data itself might not be viewed to have long-term scientific significance after the results have been published. Often, the data volume was relatively low, with data sometimes easier to reproduce than to catalog and store. Some data and meta-data were not collected in a digital form,more » or were stored on antiquated or obsolete media. Generally speaking, policies, tools, and management of digital research data have reflected an ad hoc approach that varies domain by domain and research group by research group. This model, which treats research data as disposable, is proving to be a serious limitation as the volume and complexity of research data explodes. Changes are required at every level of scientific research: within the individual groups, and across scientific domains and interdisciplinary collaborations. Enabling researchers to learn about available tools, processes, and procedures should encourage a spirit of cooperation and collaboration, allowing researchers to come together for the common good. In conclusion, these community-oriented efforts provide the potential for targeted projects with high impact.« less

Games as a Platform for Student Participation in Authentic Scientific Research

ERIC Educational Resources Information Center

Magnussen, Rikke; Hansen, Sidse Damgaard; Planke, Tilo; Sherson, Jacob Friis

2014-01-01

This paper presents results from the design and testing of an educational version of Quantum Moves, a Scientific Discovery Game that allows players to help solve authentic scientific challenges in the effort to develop a quantum computer. The primary aim of developing a game-based platform for student-research collaboration is to investigate if…

Editorial Research Reports on the Scientific Society.

ERIC Educational Resources Information Center

Dickinson, William B., Jr., Ed.

Nine reports published in this volume reflect upon the scientific revolution of the 20th century. Technological and scientific achievements are reviewed in the light of changes they have caused in human life. The challenge put forth is whether man can use wisely the new world of options that science opens for him. In this perspective the reports…

NSLS 2006 ACTIVITY REPORT (NATIONAL SYNCHROTRON LIGHT SOURCE ACTIVITY REPORT 2006)

DOE Office of Scientific and Technical Information (OSTI.GOV)

MILLER, L.

This past year has seen both challenges and fantastic new opportunities for the user community at the NSLS. The fantastic new opportunities are clear and abundant. We now have a five-year strategic plan for new development and continued operation of the NSLS. The NSLS continues to be an extremely productive facility, and the UEC is delighted at how NSLS Chair Chi-Chang Kao has consulted widely within the user community to develop a five-year plan for strategic upgrades and continued operation of the facility. The NSLS-II project, led by Associate Lab Director Steve Dierker, has done very well in its Departmentmore » of Energy (DOE) reviews and will hopefully soon receive Critical Decision-1 (CD-1) approval, which in DOE lingo gives a go-ahead to launch the detailed design of the facility. We also held the first joint user meeting between the NSLS and Brookhaven's Center for Functional Nanomaterials (CFN), for which the building is near completion. The joint user meeting is an important step toward the close collaboration of the two facilities. The CFN, led by Emilio Mendez, promises to provide capabilities and research foci that are complementary to those at the NSLS. Together, all of these developments give a clear path to an exciting future of synchrotron radiation research at Brookhaven! However, with opportunities come challenges! One of the largest of these faced in the past year involved congressional support for scientific research in general, and DOE user facilities in particular. As you likely know, Congress did not complete its usual budget process in 2006, with the exceptions of the departments of Defense and Homeland Security. This left science funding at the budget levels enacted in late 2005 for FY2006, and unfortunately, FY2006 was not a particularly memorable vintage for science support. The good news is that you, the user community, have spoken up with unprecedented vigor about this, and Congress appears to be listening. As we look at the FY2007 budget and the years to follow, we need to continue to educate our elected representatives about the benefits that are provided to our society and our economy by scientific investigation including research done at DOE user facilities like the NSLS. We face another interesting challenge as the NSLS-II project progresses: the formation of scientific research teams associated with particular beamlines at the new facility. In early 2007, the final draft of the conceptual design report will be available, which will describe the projected capabilities of NSLS-II, and we can expect a workshop in mid-2007 to launch the process leading to letters of intent for beamlines. This process will include lots of discussion about access modes, as we seek ways to allow scientific and technical innovators from the user community to play significant roles at NSLS-II.« less

The BCN Challenge to Compatibilist Free Will and Personal Responsibility

PubMed Central

Sie, Maureen

2009-01-01

Many philosophers ignore developments in the behavioral, cognitive, and neurosciences that purport to challenge our ideas of free will and responsibility. The reason for this is that the challenge is often framed as a denial of the idea that we are able to act differently than we do. However, most philosophers think that the ability to do otherwise is irrelevant to responsibility and free will. Rather it is our ability to act for reasons that is crucial. We argue that the scientific findings indicate that it is not so obvious that our views of free will and responsibility can be grounded in the ability to act for reasons without introducing metaphysical obscurities. This poses a challenge to philosophers. We draw the conclusion that philosophers are wrong not to address the recent scientific developments and that scientists are mistaken in formulating their challenge in terms of the freedom to do otherwise. PMID:21124755

Data Curation Education in Research Centers (DCERC)

NASA Astrophysics Data System (ADS)

Marlino, M. R.; Mayernik, M. S.; Kelly, K.; Allard, S.; Tenopir, C.; Palmer, C.; Varvel, V. E., Jr.

2012-12-01

Digital data both enable and constrain scientific research. Scientists are enabled by digital data to develop new research methods, utilize new data sources, and investigate new topics, but they also face new data collection, management, and preservation burdens. The current data workforce consists primarily of scientists who receive little formal training in data management and data managers who are typically educated through on-the-job training. The Data Curation Education in Research Centers (DCERC) program is investigating a new model for educating data professionals to contribute to scientific research. DCERC is a collaboration between the University of Illinois at Urbana-Champaign Graduate School of Library and Information Science, the University of Tennessee School of Information Sciences, and the National Center for Atmospheric Research. The program is organized around a foundations course in data curation and provides field experiences in research and data centers for both master's and doctoral students. This presentation will outline the aims and the structure of the DCERC program and discuss results and lessons learned from the first set of summer internships in 2012. Four masters students participated and worked with both data mentors and science mentors, gaining first hand experiences in the issues, methods, and challenges of scientific data curation. They engaged in a diverse set of topics, including climate model metadata, observational data management workflows, and data cleaning, documentation, and ingest processes within a data archive. The students learned current data management practices and challenges while developing expertise and conducting research. They also made important contributions to NCAR data and science teams by evaluating data management workflows and processes, preparing data sets to be archived, and developing recommendations for particular data management activities. The master's student interns will return in summer of 2013, and two Ph.D. students will conduct data curation-related dissertation fieldwork during the 2013-2014 academic year.

Engineering Education in K-12 Schools

NASA Astrophysics Data System (ADS)

Spence, Anne

2013-03-01

Engineers rely on physicists as well as other scientists and mathematicians to explain the world in which we live. Engineers take this knowledge of the world and use it to create the world that never was. The teaching of physics and other sciences as well as mathematics is critical to maintaining our national workforce. Science and mathematics education are inherently different, however, from engineering education. Engineering educators seek to enable students to develop the habits of mind critical for innovation. Through understanding of the engineering design process and how it differs from the scientific method, students can apply problem and project based learning to solve the challenges facing society today. In this talk, I will discuss the elements critical to a solid K-12 engineering education that integrates science and mathematics to solve challenges throughout the world.

Preterm labor: one syndrome, many causes.

PubMed

Romero, Roberto; Dey, Sudhansu K; Fisher, Susan J

2014-08-15

Preterm birth is associated with 5 to 18% of pregnancies and is a leading cause of infant morbidity and mortality. Spontaneous preterm labor, a syndrome caused by multiple pathologic processes, leads to 70% of preterm births. The prevention and the treatment of preterm labor have been long-standing challenges. We summarize the current understanding of the mechanisms of disease implicated in this condition and review advances relevant to intra-amniotic infection, decidual senescence, and breakdown of maternal-fetal tolerance. The success of progestogen treatment to prevent preterm birth in a subset of patients at risk is a cause for optimism. Solving the mystery of preterm labor, which compromises the health of future generations, is a formidable scientific challenge worthy of investment. Copyright © 2014, American Association for the Advancement of Science.

What do we learn about development from baby robots?

PubMed

Oudeyer, Pierre-Yves

2017-01-01

Understanding infant development is one of the great scientific challenges of contemporary science. In addressing this challenge, robots have proven useful as they allow experimenters to model the developing brain and body and understand the processes by which new patterns emerge in sensorimotor, cognitive, and social domains. Robotics also complements traditional experimental methods in psychology and neuroscience, where only a few variables can be studied at the same time. Moreover, work with robots has enabled researchers to systematically explore the role of the body in shaping the development of skill. All told, this work has shed new light on development as a complex dynamical system. WIREs Cogn Sci 2017, 8:e1395. doi: 10.1002/wcs.1395 For further resources related to this article, please visit the WIREs website. © 2016 Wiley Periodicals, Inc.

Establishing ecological and social continuities: new challenges to optimize urban watershed management

NASA Astrophysics Data System (ADS)

Mitroi, V.; de Coninck, A.; Vinçon-Leite, B.; Deroubaix, J.-F.

2014-09-01

The (re)construction of the ecological continuity is stated as one of the main objectives of the European Water Framework Directive for watershed management in Europe. Analysing the social, political, technical and scientific processes characterising the implementation of different projects of ecological continuity in two adjacent peri-urban territories in Ile-de-France, we observed science-driven approaches disregarding the social contexts. We show that, in urbanized areas, ecological continuity requires not only important technical and ecological expertise, but also social and political participation to the definition of a common vision and action plan. Being a challenge for both, technical water management institutions and "classical" ecological policies, we propose some social science contributions to deal with ecological unpredictability and reconsider stakeholder resistance to this kind of project.

Scientific and regulatory challenges in evaluating clinical trial protocols for HIV-1/AIDS vaccines - A review from a regulatory perspective.

PubMed

Sheets, Rebecca L; Zhou, TieQun; Knezevic, Ivana

2016-03-01

Clinical development of prophylactic HIV/AIDS vaccines presents many scientific challenges that result in challenges for regulators reviewing clinical trial applications (CTAs). The World Health Organization (WHO) has the responsibility to provide technical support to these regulators. The search for an HIV/AIDS vaccine will only succeed through well-designed, -conducted and -controlled human efficacy studies reviewed and approved by regulators in countries worldwide, particularly in countries where the epidemic has hit hardest, such as in sub-Saharan Africa and Asia. This review summarizes the current candidates in development and focuses on challenges regulators face when reviewing CTAs, such as the evolving landscape of "standard of prevention," trials in adolescents, adaptive trial designs, correlates of protection and their analysis, and access to successful vaccines. There are many unknowns in the field of HIV/AIDS vaccine development and often, there is not a clear right or wrong approach because of the scientific challenges described in this review. Consequently, regulators should not feel that decisions need be made in isolation, when there are many available international collaborative efforts and opportunities to seek expert advice. The WHO provides many such opportunities and support to regulators across the globe. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.