Analysis of the lack of scientific and technological talents of high-level women in China

NASA Astrophysics Data System (ADS)

Lin, Wang

2017-08-01

The growth and development of high-level female scientific and technological talents has become a global problem, facing severe challenges. The lack of high-level women in science and technology has become a global problem. How to recruit and help female scientists and technological talents grow raises awareness from the industry. To find out the main reasons for the lack of high-level female scientific and technological talent. This paper analyses the impact of gender discrimination on the lack of high-level female scientific and technological talents, the impact of disciplinary differences on female roles. The main reasons are: women’s natural disadvantage of mathematical thinking; female birth, the traditional culture on the role of women and the impact of values.

Scientific Computing

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

Fermilab

2017-09-01

Scientists, engineers and programmers at Fermilab are tackling today’s most challenging computational problems. Their solutions, motivated by the needs of worldwide research in particle physics and accelerators, help America stay at the forefront of innovation.

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

Computational Modeling and Mathematics Applied to the Physical Sciences.

ERIC Educational Resources Information Center

National Academy of Sciences - National Research Council, Washington, DC.

One aim of this report is to show and emphasize that in the computational approaches to most of today's pressing and challenging scientific and technological problems, the mathematical aspects cannot and should not be considered in isolation. Following an introductory chapter, chapter 2 discusses a number of typical problems leading to…

Predicting protein structures with a multiplayer online game.

PubMed

Cooper, Seth; Khatib, Firas; Treuille, Adrien; Barbero, Janos; Lee, Jeehyung; Beenen, Michael; Leaver-Fay, Andrew; Baker, David; Popović, Zoran; Players, Foldit

2010-08-05

People exert large amounts of problem-solving effort playing computer games. Simple image- and text-recognition tasks have been successfully 'crowd-sourced' through games, but it is not clear if more complex scientific problems can be solved with human-directed computing. Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non-scientists in solving hard prediction problems. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. We show that top-ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Players working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only the conformational space but also the space of possible search strategies. The integration of human visual problem-solving and strategy development capabilities with traditional computational algorithms through interactive multiplayer games is a powerful new approach to solving computationally-limited scientific problems.

Data sharing policy design for consortia: challenges for sustainability.

PubMed

Kaye, Jane; Hawkins, Naomi

2014-01-01

The field of human genomics has led advances in the sharing of data with a view to facilitating translation of research into innovations for human health. This change in scientific practice has been implemented through new policy developed by many principal investigators, project managers and funders, which has ultimately led to new forms of practice and innovative governance models for data sharing. Here, we examine the development of the governance of data sharing in genomics, and explore some of the key challenges associated with the design and implementation of these policies. We examine how the incremental nature of policy design, the perennial problem of consent, the gridlock caused by multiple and overlapping access systems, the administrative burden and the problems with incentives and acknowledgment all have an impact on the potential for data sharing to be maximized. We conclude by proposing ways in which the scientific community can address these problems, to improve the sustainability of data sharing into the future.

Promoting the Multidimensional Character of Scientific Reasoning †

PubMed Central

Bradshaw, William S.; Nelson, Jennifer; Adams, Byron J.; Bell, John D.

2017-01-01

This study reports part of a long-term program to help students improve scientific reasoning using higher-order cognitive tasks set in the discipline of cell biology. This skill was assessed using problems requiring the construction of valid conclusions drawn from authentic research data. We report here efforts to confirm the hypothesis that data interpretation is a complex, multifaceted exercise. Confirmation was obtained using a statistical treatment showing that various such problems rank students differently—each contains a unique set of cognitive challenges. Additional analyses of performance results have allowed us to demonstrate that individuals differ in their capacity to navigate five independent generic elements that constitute successful data interpretation: biological context, connection to course concepts, experimental protocols, data inference, and integration of isolated experimental observations into a coherent model. We offer these aspects of scientific thinking as a “data analysis skills inventory,” along with usable sample problems that illustrate each element. Additionally, we show that this kind of reasoning is rigorous in that it is difficult for most novice students, who are unable to intuitively implement strategies for improving these skills. Instructors armed with knowledge of the specific challenges presented by different types of problems can provide specific helpful feedback during formative practice. The use of this instructional model is most likely to require changes in traditional classroom instruction. PMID:28512524

Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis.

PubMed

Stephan, Klaas E; Bach, Dominik R; Fletcher, Paul C; Flint, Jonathan; Frank, Michael J; Friston, Karl J; Heinz, Andreas; Huys, Quentin J M; Owen, Michael J; Binder, Elisabeth B; Dayan, Peter; Johnstone, Eve C; Meyer-Lindenberg, Andreas; Montague, P Read; Schnyder, Ulrich; Wang, Xiao-Jing; Breakspear, Michael

2016-01-01

Contemporary psychiatry faces major challenges. Its syndrome-based disease classification is not based on mechanisms and does not guide treatment, which largely depends on trial and error. The development of therapies is hindered by ignorance of potential beneficiary patient subgroups. Neuroscientific and genetics research have yet to affect disease definitions or contribute to clinical decision making. In this challenging setting, what should psychiatric research focus on? In two companion papers, we present a list of problems nominated by clinicians and researchers from different disciplines as candidates for future scientific investigation of mental disorders. These problems are loosely grouped into challenges concerning nosology and diagnosis (this Personal View) and problems related to pathogenesis and aetiology (in the companion Personal View). Motivated by successful examples in other disciplines, particularly the list of Hilbert's problems in mathematics, this subjective and eclectic list of priority problems is intended for psychiatric researchers, helping to re-focus existing research and providing perspectives for future psychiatric science. Copyright © 2016 Elsevier Ltd. All rights reserved.

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…

Aiming Talent Development toward Creative Eminence in the 21st Century

ERIC Educational Resources Information Center

Olszewski-Kubilius, Paula; Subotnik, Rena F.; Worrell, Frank C.

2016-01-01

Much has been written about the social and scientific problems that face the world in the 21st century, including climate change and economic inequality. In this context, the development of talented individuals who can tackle these problems is most important. In this article, the authors discuss the implications of 21st-century challenges for the…

Politics and the Erosion of Federal Scientific Capacity: Restoring Scientific Integrity to Public Health Science

PubMed Central

Rest, Kathleen M.; Halpern, Michael H.

2007-01-01

Our nation’s health and prosperity are based on a foundation of independent scientific discovery. Yet in recent years, political interference in federal government science has become widespread, threatening this legacy. We explore the ways science has been misused, the attempts to measure the pervasiveness of this problem, and the effects on our long-term capacity to meet today’s most complex public health challenges. Good government and a functioning democracy require public policy decisions to be informed by independent science. The scientific and public health communities must speak out to defend taxpayer-funded science from political interference. Encouragingly, both the scientific community and Congress are exploring ways to restore scientific integrity to federal policymaking. PMID:17901422

Politics and the erosion of federal scientific capacity: restoring scientific integrity to public health science.

PubMed

Rest, Kathleen M; Halpern, Michael H

2007-11-01

Our nation's health and prosperity are based on a foundation of independent scientific discovery. Yet in recent years, political interference in federal government science has become widespread, threatening this legacy. We explore the ways science has been misused, the attempts to measure the pervasiveness of this problem, and the effects on our long-term capacity to meet today's most complex public health challenges. Good government and a functioning democracy require public policy decisions to be informed by independent science. The scientific and public health communities must speak out to defend taxpayer-funded science from political interference. Encouragingly, both the scientific community and Congress are exploring ways to restore scientific integrity to federal policymaking.

Enabling large-scale next-generation sequence assembly with Blacklight

PubMed Central

Couger, M. Brian; Pipes, Lenore; Squina, Fabio; Prade, Rolf; Siepel, Adam; Palermo, Robert; Katze, Michael G.; Mason, Christopher E.; Blood, Philip D.

2014-01-01

Summary A variety of extremely challenging biological sequence analyses were conducted on the XSEDE large shared memory resource Blacklight, using current bioinformatics tools and encompassing a wide range of scientific applications. These include genomic sequence assembly, very large metagenomic sequence assembly, transcriptome assembly, and sequencing error correction. The data sets used in these analyses included uncategorized fungal species, reference microbial data, very large soil and human gut microbiome sequence data, and primate transcriptomes, composed of both short-read and long-read sequence data. A new parallel command execution program was developed on the Blacklight resource to handle some of these analyses. These results, initially reported previously at XSEDE13 and expanded here, represent significant advances for their respective scientific communities. The breadth and depth of the results achieved demonstrate the ease of use, versatility, and unique capabilities of the Blacklight XSEDE resource for scientific analysis of genomic and transcriptomic sequence data, and the power of these resources, together with XSEDE support, in meeting the most challenging scientific problems. PMID:25294974

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…

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.

Current challenges and problems in teaching pathophysiology in Ukraine - another reaction to Churilov's paper.

PubMed

Ataman, Oleksandr V

2017-12-01

Pathophysiology in Ukraine has rich traditions and achievements in the scientific areas, as well as in teaching academic discipline. Its history, the main Ukrainian scientific schools and their famous representatives are briefly described. The content of existing study program, the main approaches to teaching, and some methodological and organizational problems needed to be solved are characterized. The necessity and usefulness of developing and implementing the three separate courses of discipline (Essential, Clinical and Advanced Pathophysiology) are substantiated. The place of Pathophysiology in the training of physicians with different kinds of their future activity is discussed. Relation of teaching Pathophysiology to Translational and Personalized Medicine is tried to be shown.

Machine intelligence applications to securities production

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

Johnson, C.K.

1987-01-01

The production of security documents provides a cache of interesting problems ranging across a broad spectrum. Some of the problems do not have rigorous scientific solutions available at this time and provide opportunities for less structured approaches such as AI. AI methods can be used in conjunction with traditional scientific and computational methods. The most productive applications of AI occur when this marriage of methods can be carried out without motivation to prove that one method is better than the other. Fields such as ink chemistry and technology, and machine inspection of graphic arts printing offer interesting challenges which willmore » continue to intrigue current and future generations of researchers into the 21st century.« less

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.

Visualization: A pathway to enhanced scientific productivity in the expanding missions of Space and Earth Sciences

NASA Technical Reports Server (NTRS)

Szuszczewicz, E. P.

1995-01-01

The movement toward the solution of problems involving large-scale system science, the ever-increasing capabilities of three-dimensional, time-dependent numerical models, and the enhanced capabilities of 'in situ' and remote sensing instruments bring a new era of scientific endeavor that requires an important change in our approach to mission planning and the task of data reduction and analysis. Visualization is at the heart of the requirements for a much-needed enhancement in scientific productivity as we face these new challenges. This article draws a perspective on the problem as it crosses discipline boundaries from solar physics to atmospheric and ocean sciences. It also attempts to introduce visualization as a new approach to scientific discovery and a tool which expedites and improves our insight into physically complex problems. A set of simple illustrations demonstrates a number of visualization techniques and the discussion emphasizes the trial-and-error and search-and-discover modes that are necessary for the techniques to reach their full potential. Further discussions also point to the importance of integrating data access, management, mathematical operations, and visualization into a single system. Some of the more recent developments in this area are reviewed.

Science Education and the Challenges Facing Its Integration into the 21st Century School System in a Globalized World: A Case of Igbo Nation

ERIC Educational Resources Information Center

Ezeudu, F. O.; Nkokelonye, C. U.; Ezeudu, S. A.

2013-01-01

This paper is a study of historical foundations of science education in Igboland, its nature and scope as well as the challenges facing its integration into the 21st century school system in a globalized world. The authors found that there were many scientific activities in Igbo culture, but many problems hinder their integration into the basic…

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.

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.

The Life Narrative at Midlife

ERIC Educational Resources Information Center

McAdams, Dan P.

2014-01-01

In a remarkably prescient chapter, Bertram Cohler (1982) reimagined the problems and the potentialities of psychological development across the life course as a distinctively human challenge in life narration. This chapter situates Cohler's original vision within the intellectual and scientific matrix of the late 1970s, wherein psychologists…

Risk Assessment and Decision-Making at the Local Level:?Who does what when, how, and to what extent?

EPA Science Inventory

Problem: Exposure to multiple stressors increases the likelihood of an adverse response in human and ecosystem communities. Challenge: A rigorous and scientifically robust assessment methodology is needed to characterize stressors and receptors of interest, calculate risk estimat...

Global challenges and globalization of bioethics

PubMed Central

Nezhmetdinova, Farida

2013-01-01

This article analyzes problems and implications for man and nature connected with the formation of a new architecture of science, based on the convergence of nanotechnology, biotechnology, information technology, and cognitive science (NBIC). It also describes evolution and genesis of bioethics, a scientific discipline and social practice with a special role of ethical management of potential risks of scientific research. The aim was to demonstrate the necessity of bioethical social control in the development of a global bioeconomy driven by NBIC technologies. PMID:23447421

Identifying Decision-Makers’ Science Needs for Adaptation to Climate-Related Impacts on Forest Ecosystem Services

NASA Astrophysics Data System (ADS)

Gordon, E.; Lukas, J.

2009-12-01

Through the Western Water Assessment RISA program, we are conducting a research project that will produce science synthesis information to help local, state, and federal decision-makers in Colorado and Wyoming develop adaptation strategies to deal with climate-related threats to forest ecosystem services, in particular bark beetle infestations and stand-replacing wildfires. We begin by using the problem orientation framework, a policy sciences methodology, to understand how decision-makers can most effectively address policy problems that threaten the attainment of socially accepted goals. By applying this framework to the challenges facing decision-makers, we more accurately identify specific areas where scientific research can improve decision-making. WWA researchers will next begin to connect decision-makers with relevant scientific literature and identify specific areas of future scientific research that will be most effective at addressing their needs.

Critical materialism: science, technology, and environmental sustainability.

PubMed

York, Richard; Clark, Brett

2010-01-01

There are widely divergent views on how science and technology are connected to environmental problems. A view commonly held among natural scientists and policy makers is that environmental problems are primarily technical problems that can be solved via the development and implementation of technological innovations. This technologically optimistic view tends to ignore power relationships in society and the political-economic order that drives environmental degradation. An opposed view, common among postmodernist and poststructuralist scholars, is that the emergence of the scientific worldview is one of the fundamental causes of human oppression. This postmodernist view rejects scientific epistemology and often is associated with an anti-realist stance, which ultimately serves to deny the reality of environmental problems, thus (unintentionally) abetting right-wing efforts to scuttle environmental protection. We argue that both the technologically optimistic and the postmodernist views are misguided, and both undermine our ability to address environmental crises. We advocate the adoption of a critical materialist stance, which recognizes the importance of natural science for helping us to understand the world while also recognizing the social embeddedness of the scientific establishment and the need to challenge the manipulation of science by the elite.

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

PubMed

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. © 2017 I. N. Okeke et al. 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).

Simulation Data as Data Streams

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

Abdulla, G; Arrighi, W; Critchlow, T

2003-11-18

Computational or scientific simulations are increasingly being applied to solve a variety of scientific problems. Domains such as astrophysics, engineering, chemistry, biology, and environmental studies are benefiting from this important capability. Simulations, however, produce enormous amounts of data that need to be analyzed and understood. In this overview paper, we describe scientific simulation data, its characteristics, and the way scientists generate and use the data. We then compare and contrast simulation data to data streams. Finally, we describe our approach to analyzing simulation data, present the AQSim (Ad-hoc Queries for Simulation data) system, and discuss some of the challenges thatmore » result from handling this kind of data.« less

Parasitic Weeds, a Scientific Challenge

USDA-ARS?s Scientific Manuscript database

A recent issue of the SCI journal Pest Management Science (May, 2009) was devoted to an overview of the problem of parasitic weeds and to the research that is being done to alleviate it. These papers are from an OECD-sponsored conference entitled Managing Parasitic Weeds that recently brought the b...

Scientific Reasoning in School Contexts.

ERIC Educational Resources Information Center

Vellom, R. Paul; Anderson, Charles W.; Palincsar, Annemarie S.

This study investigates the fate of claims made by middle school science students working in collaborative groups in a multicultural urban classroom and the concomitant effects on engagement and understanding. Given problems of a complex and open-ended nature in a learning community setting, students were challenged to establish group positions…

Students' Experimental Research Competences in the Study of Physics

ERIC Educational Resources Information Center

Kurbanbekov, Bakytzhan A.; Turmambekov, Torebai A.; Baizak, Usen A.; Saidakhmetov, Pulat A.; Abdraimov, Rakhymzhan T.; Bekayeva, Aigerim E.; Orazbayeva, Kuldarkhan O.

2016-01-01

The actuality of the investigated problem is caused by the need for students' training at pedagogical high schools to meet the challenges of research activities and the insufficient development of the theoretical, content-technological, scientific and methodological aspects of the formation of their experimental research competencies at the…

Medical entomology--back to the future?

PubMed

Reisen, William K

2014-12-01

Some of problems and challenges facing Medical/Veterinary Entomology are presented from my perspective, focusing on the current millennium. Topics include anthropogenic environmental changes created by population growth, administrative problems hindering science's response to these changes, and some of the scientific discoveries potentially providing solutions. As the title implies, many recent research discoveries have yet to be translated into major changes in control approaches for the major vectorborne public health problems, thereby providing an interesting mix of modern surveillance technology used to track problems and direct historical intervention solutions. Copyright © 2013 Elsevier B.V. All rights reserved.

Support for global science: Remote sensing's challenge

NASA Technical Reports Server (NTRS)

Estes, J. E.; Star, J. L.

1986-01-01

Remote sensing uses a wide variety of techniques and methods. Resulting data are analyzed by man and machine, using both analog and digital technology. The newest and most important initiatives in the U. S. civilian space program currently revolve around the space station complex, which includes the core station as well as co-orbiting and polar satellite platforms. This proposed suite of platforms and support systems offers a unique potential for facilitating long term, multidisciplinary scientific investigations on a truly global scale. Unlike previous generations of satellites, designed for relatively limited constituencies, the space station offers the potential to provide an integrated source of information which recognizes the scientific interest in investigating the dynamic coupling between the oceans, land surface, and atmosphere. Earth scientist already face problems that are truly global in extent. Problems such as the global carbon balance, regional deforestation, and desertification require new approaches, which combine multidisciplinary, multinational research teams, employing advanced technologies to produce a type, quantity, and quality of data not previously available. The challenge before the international scientific community is to continue to develop both the infrastructure and expertise to, on the one hand, develop the science and technology of remote sensing, while on the other hand, develop an integrated understanding of global life support systems, and work toward a quantiative science of the biosphere.

Some thoughts on building, evaluating and constraining hydrologic models from catchment to continental scales

NASA Astrophysics Data System (ADS)

Wagener, Thorsten

2017-04-01

We increasingly build and apply hydrologic models that simulate systems beyond the catchment scale. Such models run at regional, national or even continental scales. They therefore offer opportunities for new scientific insights, for example by enabling comparative hydrology or connectivity studies, and for water management, where we might better understand changes to water resources from larger scale activities like agriculture or from hazards such as droughts. However, these models also require us to rethink how we build and evaluate them given that some of the unsolved problems from the catchment scale have not gone away. So what role should such models play in scientific advancement in hydrology? What problems do we still have to resolve before they can fulfill their role? What opportunities for solving these problems are there, but have not yet been utilized? I will provide some thoughts on these issues in the context of the IAHS Panta Rhei initiative and the scientific challenges it has set out for hydrology (Montanari et al., 2013, Hydrological Sciences Journal; McMillan et al., 2016, Hydrological Sciences Journal).

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.

Integrating scientific argumentation to improve undergraduate writing and learning in a global environmental change course

NASA Astrophysics Data System (ADS)

Kreutz, K. J.; Koffman, B. G.; Trenbath, K. L.

2013-12-01

What makes a good scientific argument? We began ERS201: Global Environmental Change by asking students to reflect on the mechanics of a strong scientific argument. At the same time, we asked them to evaluate global CO2 and sea level data from different time periods in Earth's history to answer the question, 'Is there a relationship between atmospheric CO2 and sea level, and if so, why?' This question formed the theme for the course, a mid-level, inquiry-based class of about 20 students. Each week, students target specific aspects of the climate system through problem sets, which include experimental and laboratory work, basic statistical analyses of paleoclimate datasets, and the development of simple systems models using STELLA software. Every 2-4 weeks, we challenge students to write short (1500 word) data-driven scientific arguments, which require a synthesis of information from their problem sets and from the scientific literature. Students have to develop a clear, testable hypothesis related to each writing prompt, and then make their case using figures they have generated during the weekly problem sets. We evaluate student writing using a rubric that focuses on the structure and clarity of the argument, relevance of the data included, and integration and quality of the graphics, with a lesser emphasis placed on voice and style. In 2013, student scores improved from a median value of 86 × 9% to 94 × 8% over the course of the semester. More importantly, we found that incorporation of scientific argumentation served to increase student understanding of important and sometimes abstract scientific concepts. For example, on pre- and post-course assessments we asked the question, 'What would happen if a significant portion of the sea ice floating in the Arctic Ocean were to melt?' On the pre-assessment, 80% of students said that it would lead to more coastal flooding, while only 20% correctly stated that a decrease in the reflection of solar energy would lead to warmer average global temperatures. On the post-assessment, nearly half of the respondents who originally had selected the sea level answer had switched to the correct response. Student understanding of climate-related concepts improved even if we did not explicitly teach a given subject. Thus, our approach challenged students to go beyond analyzing and interpreting data, to the point where they could articulate an argument based on a range of evidence. Students appreciated the challenge: in anonymous course evaluations, six out of fifteen students reported that scientific writing was the most valuable aspect of the course. Overall, we found that incorporating scientific argumentation improved student learning in this course. Here we will present relevant course content, exercises, assessment data, and student feedback to evaluate progress towards our goal of using a written argumentation approach to improving critical thinking, data analysis, and writing skills. We also discuss plans to incorporate peer review into the Spring 2014 course writing curriculum.

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

Mass storage: The key to success in high performance computing

NASA Technical Reports Server (NTRS)

Lee, Richard R.

1993-01-01

There are numerous High Performance Computing & Communications Initiatives in the world today. All are determined to help solve some 'Grand Challenges' type of problem, but each appears to be dominated by the pursuit of higher and higher levels of CPU performance and interconnection bandwidth as the approach to success, without any regard to the impact of Mass Storage. My colleagues and I at Data Storage Technologies believe that all will have their performance against their goals ultimately measured by their ability to efficiently store and retrieve the 'deluge of data' created by end-users who will be using these systems to solve Scientific Grand Challenges problems, and that the issue of Mass Storage will become then the determinant of success or failure in achieving each projects goals. In today's world of High Performance Computing and Communications (HPCC), the critical path to success in solving problems can only be traveled by designing and implementing Mass Storage Systems capable of storing and manipulating the truly 'massive' amounts of data associated with solving these challenges. Within my presentation I will explore this critical issue and hypothesize solutions to this problem.

Challenges of Antibacterial Discovery

PubMed Central

Silver, Lynn L.

2011-01-01

Summary: The discovery of novel small-molecule antibacterial drugs has been stalled for many years. The purpose of this review is to underscore and illustrate those scientific problems unique to the discovery and optimization of novel antibacterial agents that have adversely affected the output of the effort. The major challenges fall into two areas: (i) proper target selection, particularly the necessity of pursuing molecular targets that are not prone to rapid resistance development, and (ii) improvement of chemical libraries to overcome limitations of diversity, especially that which is necessary to overcome barriers to bacterial entry and proclivity to be effluxed, especially in Gram-negative organisms. Failure to address these problems has led to a great deal of misdirected effort. PMID:21233508

Solving the Supreme Problem: 100 years of selection and recruitment at the Journal of Applied Psychology.

PubMed

Ployhart, Robert E; Schmitt, Neal; Tippins, Nancy T

2017-03-01

This article reviews 100 years of research on recruitment and selection published in the Journal of Applied Psychology. Recruitment and selection research has been present in the Journal from the very first issue, where Hall (1917) suggested that the challenge of recruitment and selection was the Supreme Problem facing the field of applied psychology. As this article shows, the various topics related to recruitment and selection have ebbed and flowed over the years in response to business, legal, and societal changes, but this Supreme Problem has captivated the attention of scientist-practitioners for a century. Our review starts by identifying the practical challenges and macro forces that shaped the sciences of recruitment and selection and helped to define the research questions the field has addressed. We then describe the evolution of recruitment and selection research and the ways the resulting scientific advancements have contributed to staffing practices. We conclude with speculations on how recruitment and selection research may proceed in the future. Supplemental material posted online provides additional depth by including a summary of practice challenges and scientific advancements that affected the direction of selection and recruitment research and an outline of seminal articles published in the Journal and corresponding time line. The 100-year anniversary of the Journal of Applied Psychology is very much the celebration of recruitment and selection research, although predictions about the future suggest there is still much exciting work to be done. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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

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

Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data

NASA Astrophysics Data System (ADS)

Stoecklein, Daniel; Lore, Kin Gwn; Davies, Michael; Sarkar, Soumik; Ganapathysubramanian, Baskar

2017-04-01

A new technique for shaping microfluid flow, known as flow sculpting, offers an unprecedented level of passive fluid flow control, with potential breakthrough applications in advancing manufacturing, biology, and chemistry research at the microscale. However, efficiently solving the inverse problem of designing a flow sculpting device for a desired fluid flow shape remains a challenge. Current approaches struggle with the many-to-one design space, requiring substantial user interaction and the necessity of building intuition, all of which are time and resource intensive. Deep learning has emerged as an efficient function approximation technique for high-dimensional spaces, and presents a fast solution to the inverse problem, yet the science of its implementation in similarly defined problems remains largely unexplored. We propose that deep learning methods can completely outpace current approaches for scientific inverse problems while delivering comparable designs. To this end, we show how intelligent sampling of the design space inputs can make deep learning methods more competitive in accuracy, while illustrating their generalization capability to out-of-sample predictions.

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.

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

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.

Using Electronic Information Resources Centers by Faculty Members at University Education: Competencies, Needs and Challenges

ERIC Educational Resources Information Center

Abouelenein, Yousri

2017-01-01

This study aimed at investigating the factual situation of electronic information resources centers to faculty members at university education. Competencies that faculty members should possess regarding this issue were determined. Also their needs for (scientific research skills and teaching) were assessed. In addition, problems that hinder their…

Crossword Puzzles for Chemistry Education: Learning Goals beyond Vocabulary

ERIC Educational Resources Information Center

Yuriev, Elizabeth; Capuano, Ben; Short, Jennifer L.

2016-01-01

Chemistry is a technical scientific discipline strongly underpinned by its own complex and diverse language. To be successful in the problem-solving aspects of chemistry, students must master the language of chemistry, and in particular, the definition of terms and concepts. To assist students in this challenging task, a variety of instructional…

Methodological Issues and Practical Strategies in Research on Child Maltreatment Victims' Abilities and Experiences as Witnesses

ERIC Educational Resources Information Center

Chae, Yoojin; Goodman, Gail S.; Bederian-Gardner, Daniel; Lindsay, Adam

2011-01-01

Scientific studies of child maltreatment victims' memory abilities and court experiences have important legal, psychological, and clinical implications. However, state-of-the-art research on child witnesses is often hindered by methodological challenges. In this paper, we address specific problems investigators may encounter when attempting such…

From Evidence to Impact: Recommendations for a Dissemination Support System

ERIC Educational Resources Information Center

Kreuter, Matthew W.; Wang, Monica L.

2015-01-01

While finding effective solutions to child and adolescent health problems is very much a scientific endeavor, getting those solutions into widespread practice largely is not. This paper applies lessons from business and engineering to highlight the shortcomings of current approaches to science translation. In challenging the status quo, the paper…

Variability Is Not the Villain: Finding Patterns in Complex Natural Images

ERIC Educational Resources Information Center

Brinton, Brigette Adair; Curran, Mary Carla

2015-01-01

Everyone needs strong observational skills to solve challenging problems and make informed decisions. However, many students expect to find exact answers to their questions by using the internet and do not understand the role of uncertainty, especially in decision making and scientific research. Humans and other animals choose among many options…

Forming Future Teachers' Aesthetic Culture in Foreign Educational Practice

ERIC Educational Resources Information Center

Sotska, Galyna

2016-01-01

The article deals with a theoretical analysis of foreign educational experience in solving scientific problems of forming future teachers' aesthetic culture. Given the current socio-cultural situation, it has been noted that a teacher who developed his/her aesthetic culture can make a direct contribution to the social and cultural challenges of a…

Students' Reflections Using Visualized Learning Outcomes and E-Portfolios

ERIC Educational Resources Information Center

Narumi, Takatsune; Gotoh, Yasushi

2014-01-01

How to guarantee graduate attributes has become an urgent challenge amid the increasing progress in scientific and technological development and the globalization of economic activity. In order to solve these problems, a system is required which can visualize learning outcomes in relation to attainment targets, and store and sample records of the…

Writing-to-Learn in the Inquiry-Science Classroom: Effective Strategies from Middle School Science and Writing Teachers

ERIC Educational Resources Information Center

Baker, William P.; Barstack, Renee; Clark, Diane; Hull, Elizabeth; Goodman, Ben; Kook, Judy; Kraft, Kaatje; Ramakrishna, Pushpa; Roberts, Elisabeth; Shaw, Jerome; Weaver, David; Lang, Michael

2008-01-01

Student writing skills are an important concern for every teacher. This is especially true when using inquiry-based approaches in the science classroom. Writing promotes critical-thinking skills and construction of vital scientific concepts and challenges ingrained misconceptions. Yet, many teachers encounter practical problems when incorporating…

Cloud Feedbacks on Climate: A Challenging Scientific Problem

ScienceCinema

Norris, Joe

2017-12-22

One reason it has been difficult to develop suitable social and economic policies to address global climate change is that projected global warming during the coming century has a large uncertainty range. The primary physical cause of this large uncertainty range is lack of understanding of the magnitude and even sign of cloud feedbacks on the climate system. If Earth's cloudiness responded to global warming by reflecting more solar radiation back to space or allowing more terrestrial radiation to be emitted to space, this would mitigate the warming produced by increased anthropogenic greenhouse gases. Contrastingly, a cloud response that reduced solar reflection or terrestrial emission would exacerbate anthropogenic greenhouse warming. It is likely that a mixture of responses will occur depending on cloud type and meteorological regime, and at present, we do not know what the net effect will be. This presentation will explain why cloud feedbacks have been a challenging scientific problem from the perspective of theory, modeling, and observations. Recent research results on observed multidecadal cloud-atmosphere-ocean variability over the Pacific Ocean will also be shown, along with suggestions for future research.

Astroinformatics, data mining and the future of astronomical research

NASA Astrophysics Data System (ADS)

Brescia, Massimo; Longo, Giuseppe

2013-08-01

Astronomy, as many other scientific disciplines, is facing a true data deluge which is bound to change both the praxis and the methodology of every day research work. The emerging field of astroinformatics, while on the one end appears crucial to face the technological challenges, on the other is opening new exciting perspectives for new astronomical discoveries through the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of scientific problems, however, call for innovative algorithms and methods as well as for an extreme usage of ICT technologies.

Enabling scientific workflows in virtual reality

USGS Publications Warehouse

Kreylos, O.; Bawden, G.; Bernardin, T.; Billen, M.I.; Cowgill, E.S.; Gold, R.D.; Hamann, B.; Jadamec, M.; Kellogg, L.H.; Staadt, O.G.; Sumner, D.Y.

2006-01-01

To advance research and improve the scientific return on data collection and interpretation efforts in the geosciences, we have developed methods of interactive visualization, with a special focus on immersive virtual reality (VR) environments. Earth sciences employ a strongly visual approach to the measurement and analysis of geologic data due to the spatial and temporal scales over which such data ranges, As observations and simulations increase in size and complexity, the Earth sciences are challenged to manage and interpret increasing amounts of data. Reaping the full intellectual benefits of immersive VR requires us to tailor exploratory approaches to scientific problems. These applications build on the visualization method's strengths, using both 3D perception and interaction with data and models, to take advantage of the skills and training of the geological scientists exploring their data in the VR environment. This interactive approach has enabled us to develop a suite of tools that are adaptable to a range of problems in the geosciences and beyond. Copyright ?? 2008 by the Association for Computing Machinery, Inc.

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

A Quantum Leap : Innovation in the Evolving Digital Library

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

Luce, R. E.

2002-01-01

It is an honor to give the Lazerow lecture tonight and to discuss digital library developments from the perspective of working at a national laboratory. Tonight I would like to consider what lies ahead given the evolution in scientific research, how that impacts the development of digital libraries, and finally, look at some of the challenges ahead of us. I'm particularly interested in giving this talk tonight because it provides an opportunity to talk to those of you who are students. You represent the next generation of professionals who will to confront some of the challenges I will outline tonight,more » as well as those of you who are the mentors and teachers of the next generation. The two roles are pivotal in terms of the challenges on the horizon. Most of you are familiar with the information literacy challenges we face as a nation. As the library director of a national laboratory's science library, I am also acutely aware that we also have a real problem with the lack of scientific literacy within the general population in this country and it has a corresponding impact on decision-making in a technological society. Those of us engaged in supporting scientific research, or just generally interested, should be concerned about this fact because science and technology are at the foundation of our success as a nation in the 20th Century. For our nation to continue to be successful in the 21st Century, we will need to improve on the state of scientific literacy.« less

Model Based Reasoning by Introductory Students When Analyzing Earth Systems and Societal Challenges

NASA Astrophysics Data System (ADS)

Holder, L. N.; Herbert, B. E.

2014-12-01

Understanding how students use their conceptual models to reason about societal challenges involving societal issues such as natural hazard risk assessment, environmental policy and management, and energy resources can improve instructional activity design that directly impacts student motivation and literacy. To address this question, we created four laboratory exercises for an introductory physical geology course at Texas A&M University that engages students in authentic scientific practices by using real world problems and issues that affect societies based on the theory of situated cognition. Our case-study design allows us to investigate the various ways that students utilize model based reasoning to identify and propose solutions to societally relevant issues. In each of the four interventions, approximately 60 students in three sections of introductory physical geology were expected to represent and evaluate scientific data, make evidence-based claims about the data trends, use those claims to express conceptual models, and use their models to analyze societal challenges. Throughout each step of the laboratory exercise students were asked to justify their claims, models, and data representations using evidence and through the use of argumentation with peers. Cognitive apprenticeship was the foundation for instruction used to scaffold students so that in the first exercise they are given a partially completed model and in the last exercise students are asked to generate a conceptual model on their own. Student artifacts, including representation of earth systems, representation of scientific data, verbal and written explanations of models and scientific arguments, and written solutions to specific societal issues or environmental problems surrounding earth systems, were analyzed through the use of a rubric that modeled authentic expertise and students were sorted into three categories. Written artifacts were examined to identify student argumentation and justifications of solutions through the use of evidence and reasoning. Higher scoring students justified their solutions through evidence-based claims, while lower scoring students typically justified their solutions using anecdotal evidence, emotional ideologies, and naive and incomplete conceptions of earth systems.

Dynamic sensor management of dispersed and disparate sensors for tracking resident space objects

NASA Astrophysics Data System (ADS)

El-Fallah, A.; Zatezalo, A.; Mahler, R.; Mehra, R. K.; Donatelli, D.

2008-04-01

Dynamic sensor management of dispersed and disparate sensors for space situational awareness presents daunting scientific and practical challenges as it requires optimal and accurate maintenance of all Resident Space Objects (RSOs) of interest. We demonstrate an approach to the space-based sensor management problem by extending a previously developed and tested sensor management objective function, the Posterior Expected Number of Targets (PENT), to disparate and dispersed sensors. This PENT extension together with observation models for various sensor platforms, and a Probability Hypothesis Density Particle Filter (PHD-PF) tracker provide a powerful tool for tackling this challenging problem. We demonstrate the approach using simulations for tracking RSOs by a Space Based Visible (SBV) sensor and ground based radars.

Making On-line Science Course Materials Easily Translatable and Accessible Worldwide: Challenges and Solutions

NASA Astrophysics Data System (ADS)

Adams, Wendy K.; Alhadlaq, Hisham; Malley, Christopher V.; Perkins, Katherine K.; Olson, Jonathan; Alshaya, Fahad; Alabdulkareem, Saleh; Wieman, Carl E.

2012-02-01

The PhET Interactive Simulations Project partnered with the Excellence Research Center of Science and Mathematics Education at King Saud University with the joint goal of making simulations useable worldwide. One of the main challenges of this partnership is to make PhET simulations and the website easily translatable into any language. The PhET project team overcame this challenge by creating the Translation Utility. This tool allows a person fluent in both English and another language to easily translate any of the PhET simulations and requires minimal computer expertise. In this paper we discuss the technical issues involved in this software solution, as well as the issues involved in obtaining accurate translations. We share our solutions to many of the unexpected problems we encountered that would apply generally to making on-line scientific course materials available in many different languages, including working with: languages written right-to-left, different character sets, and different conventions for expressing equations, variables, units and scientific notation.

The European Project Semester at ISEP: the challenge of educating global engineers

NASA Astrophysics Data System (ADS)

Malheiro, Benedita; Silva, Manuel; Ribeiro, Maria Cristina; Guedes, Pedro; Ferreira, Paulo

2015-05-01

Current engineering education challenges require approaches that promote scientific, technical, design and complementary skills while fostering autonomy, innovation and responsibility. The European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) (EPS@ISEP) is a one semester project-based learning programme (30 European Credit Transfer Units (ECTU)) for engineering students from diverse scientific backgrounds and nationalities that intends to address these goals. The students, organised in multidisciplinary and multicultural teams, are challenged to solve real multidisciplinary problems during one semester. The EPS package, although on project development (20 ECTU), includes a series of complementary seminars aimed at fostering soft, project-related and engineering transversal skills (10 ECTU). Hence, the students enrolled in this programme improve their transversal skills and learn, together and with the team of supervisors, subjects distinct from their core training. This paper presents the structure, implementation and results of the EPS@ISEP that was created in 2011 to apply the best engineering practices and promote internationalisation and engineering education innovation at ISEP.

Sociology of Education: Outlines towards a Diagnosis and Thoughts on Some Major Challenges

ERIC Educational Resources Information Center

Baeck, Unn-Doris Karlsen

2012-01-01

Sociology of education in Norway has traditionally been preoccupied with the classic problems related to education and the reproduction of social inequality. As the general social scientific and political focus on inequality decreased, the sociology of education also became less visible. At the same time, the sociology of youth evolved, and…

Experimental Physical Sciences Vitae 2017

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

Kippen, Karen Elizabeth; Del Mauro, Diana; Patterson, Eileen Frances

Frequently our most basic research experiments stimulate solutions for some of the most intractable national security problems, such as nuclear weapons stewardship, homeland security, intelligence and information analysis, and nuclear and alternative energy. This publication highlights our talented and creative staff who deliver solutions to these complex scientific and technological challenges by conducting cutting-edge multidisciplinary physical science research.

The Role of Domain-Specific Knowledge in Generative Reasoning about Complicated Multileveled Phenomena

ERIC Educational Resources Information Center

Duncan, Ravit Golan

2007-01-01

Promoting the ability to reason generatively about novel phenomena and problems students may encounter in their everyday lives is a major goal of science education. This goal proves to be a formidable challenge in domains, such as molecular genetics, for which the accumulated scientific understandings are daunting in both amount and complexity. To…

From Disinformation to Wishful Thinking

NASA Astrophysics Data System (ADS)

Oreskes, N.; Conway, E. M.

2014-12-01

In our book, Merchants of Doubt, we documented how deliberate disinformation campaigns served to confuse the American people about the reality and significance of climate change over more than two decades. We showed how a variety of strategies were used to persuade the public that the scientific "jury was still out" on climate change, including deliberate mispresentation of facts, cherry-picking of evidence, and personal attacks on scientists. And we documented the links, both conceptual and actual, between doubt-mongering about climate change and the rejection of scientific evidence of the harms of tobacco, acid rain, the ozone hole, nuclear winter, and DDT. These tactics are still in use today, but they are now reinforced by a new problem, the problem of wishful thinking. Increasingly, we see commentators who accept the reality of climate change assuring us that the problem can be solved by natural gas, or even by some as yet unknown and uninvented technological innovations. In this paper we argue that these forms of wishful thinking, while not malicious in the same way that previous doubt-mongering campaigns have been, contribute substantially to scientific illiteracy and misunderstanding both of the character of the challenges that we face and of the history of technological innovation.

Bayesian-information-gap decision theory with an application to CO 2 sequestration

DOE PAGES

O'Malley, D.; Vesselinov, V. V.

2015-09-04

Decisions related to subsurface engineering problems such as groundwater management, fossil fuel production, and geologic carbon sequestration are frequently challenging because of an overabundance of uncertainties (related to conceptualizations, parameters, observations, etc.). Because of the importance of these problems to agriculture, energy, and the climate (respectively), good decisions that are scientifically defensible must be made despite the uncertainties. We describe a general approach to making decisions for challenging problems such as these in the presence of severe uncertainties that combines probabilistic and non-probabilistic methods. The approach uses Bayesian sampling to assess parametric uncertainty and Information-Gap Decision Theory (IGDT) to addressmore » model inadequacy. The combined approach also resolves an issue that frequently arises when applying Bayesian methods to real-world engineering problems related to the enumeration of possible outcomes. In the case of zero non-probabilistic uncertainty, the method reduces to a Bayesian method. Lastly, to illustrate the approach, we apply it to a site-selection decision for geologic CO 2 sequestration.« less

Grand challenges for integrated USGS science—A workshop report

USGS Publications Warehouse

Jenni, Karen E.; Goldhaber, Martin B.; Betancourt, Julio L.; Baron, Jill S.; Bristol, R. Sky; Cantrill, Mary; Exter, Paul E.; Focazio, Michael J.; Haines, John W.; Hay, Lauren E.; Hsu, Leslie; Labson, Victor F.; Lafferty, Kevin D.; Ludwig, Kristin A.; Milly, Paul C. D.; Morelli, Toni L.; Morman, Suzette A.; Nassar, Nedal T.; Newman, Timothy R.; Ostroff, Andrea C.; Read, Jordan S.; Reed, Sasha C.; Shapiro, Carl D.; Smith, Richard A.; Sanford, Ward E.; Sohl, Terry L.; Stets, Edward G.; Terando, Adam J.; Tillitt, Donald E.; Tischler, Michael A.; Toccalino, Patricia L.; Wald, David J.; Waldrop, Mark P.; Wein, Anne; Weltzin, Jake F.; Zimmerman, Christian E.

2017-06-30

Executive SummaryThe U.S. Geological Survey (USGS) has a long history of advancing the traditional Earth science disciplines and identifying opportunities to integrate USGS science across disciplines to address complex societal problems. The USGS science strategy for 2007–2017 laid out key challenges in disciplinary and interdisciplinary arenas, culminating in a call for increased focus on a number of crosscutting science directions. Ten years on, to further the goal of integrated science and at the request of the Executive Leadership Team (ELT), a workshop with three dozen invited scientists spanning different disciplines and career stages in the Bureau convened on February 7–10, 2017, at the USGS John Wesley Powell Center for Analysis and Synthesis in Fort Collins, Colorado.The workshop focused on identifying “grand challenges” for integrated USGS science. Individual participants identified nearly 70 potential grand challenges before the workshop and through workshop discussions. After discussion, four overarching grand challenges emerged:Natural resource security,Societal risk from existing and emerging threats,Smart infrastructure development, andAnticipatory science for changing landscapes.Participants also identified a “comprehensive science challenge” that highlights the development of integrative science, data, models, and tools—all interacting in a modular framework—that can be used to address these and other future grand challenges:Earth Monitoring, Analyses, and Projections (EarthMAP)EarthMAP is our long-term vision for an integrated scientific framework that spans traditional scientific boundaries and disciplines, and integrates the full portfolio of USGS science: research, monitoring, assessment, analysis, and information delivery.The Department of Interior, and the Nation in general, have a vast array of information needs. The USGS meets these needs by having a broadly trained and agile scientific workforce. Encouraging and supporting cross-discipline engagement would position the USGS to tackle complex and multifaceted scientific and societal challenges in the 21st Century.

The Ultimate Challenge: Prove B. F. Skinner Wrong

PubMed Central

Chance, Paul

2007-01-01

For much of his career, B. F. Skinner displayed the optimism that is often attributed to behaviorists. With time, however, he became less and less sanguine about the power of behavior science to solve the major problems facing humanity. Near the end of his life he concluded that a fair consideration of principles revealed by the scientific analysis of behavior leads to pessimism about our species. In this article I discuss the case for Skinner's pessimism and suggest that the ultimate challenge for behavior analysts today is to prove Skinner wrong. PMID:22478494

Educational NASA Computational and Scientific Studies (enCOMPASS)

NASA Technical Reports Server (NTRS)

Memarsadeghi, Nargess

2013-01-01

Educational NASA Computational and Scientific Studies (enCOMPASS) is an educational project of NASA Goddard Space Flight Center aimed at bridging the gap between computational objectives and needs of NASA's scientific research, missions, and projects, and academia's latest advances in applied mathematics and computer science. enCOMPASS achieves this goal via bidirectional collaboration and communication between NASA and academia. Using developed NASA Computational Case Studies in university computer science/engineering and applied mathematics classes is a way of addressing NASA's goals of contributing to the Science, Technology, Education, and Math (STEM) National Objective. The enCOMPASS Web site at http://encompass.gsfc.nasa.gov provides additional information. There are currently nine enCOMPASS case studies developed in areas of earth sciences, planetary sciences, and astrophysics. Some of these case studies have been published in AIP and IEEE's Computing in Science and Engineering magazines. A few university professors have used enCOMPASS case studies in their computational classes and contributed their findings to NASA scientists. In these case studies, after introducing the science area, the specific problem, and related NASA missions, students are first asked to solve a known problem using NASA data and past approaches used and often published in a scientific/research paper. Then, after learning about the NASA application and related computational tools and approaches for solving the proposed problem, students are given a harder problem as a challenge for them to research and develop solutions for. This project provides a model for NASA scientists and engineers on one side, and university students, faculty, and researchers in computer science and applied mathematics on the other side, to learn from each other's areas of work, computational needs and solutions, and the latest advances in research and development. This innovation takes NASA science and engineering applications to computer science and applied mathematics university classes, and makes NASA objectives part of the university curricula. There is great potential for growth and return on investment of this program to the point where every major university in the U.S. would use at least one of these case studies in one of their computational courses, and where every NASA scientist and engineer facing a computational challenge (without having resources or expertise to solve it) would use enCOMPASS to formulate the problem as a case study, provide it to a university, and get back their solutions and ideas.

Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data

PubMed Central

Stoecklein, Daniel; Lore, Kin Gwn; Davies, Michael; Sarkar, Soumik; Ganapathysubramanian, Baskar

2017-01-01

A new technique for shaping microfluid flow, known as flow sculpting, offers an unprecedented level of passive fluid flow control, with potential breakthrough applications in advancing manufacturing, biology, and chemistry research at the microscale. However, efficiently solving the inverse problem of designing a flow sculpting device for a desired fluid flow shape remains a challenge. Current approaches struggle with the many-to-one design space, requiring substantial user interaction and the necessity of building intuition, all of which are time and resource intensive. Deep learning has emerged as an efficient function approximation technique for high-dimensional spaces, and presents a fast solution to the inverse problem, yet the science of its implementation in similarly defined problems remains largely unexplored. We propose that deep learning methods can completely outpace current approaches for scientific inverse problems while delivering comparable designs. To this end, we show how intelligent sampling of the design space inputs can make deep learning methods more competitive in accuracy, while illustrating their generalization capability to out-of-sample predictions. PMID:28402332

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…

Using Simplified English to Identify Potential Problems for Non-Native Speakers in the Language of Engineering Examination Papers

ERIC Educational Resources Information Center

Harrison, Sandra; Morgan, Roger

2012-01-01

There is an increasing sensitivity to the challenges posed by the language of examination papers and of instruction in scientific subjects, especially for non-native speakers of English. It has been observed that in addition to technical subject-specific vocabulary, non-technical words such as instructional verbs have been sources of difficulty,…

Curriculum Integration: Helping Career and Technical Education Students Truly Develop College and Career Readiness

ERIC Educational Resources Information Center

Park, Travis; Pearson, Donna; Richardson, George B.

2017-01-01

All students need to learn how to read, write, solve mathematics problems, and understand and apply scientific principles to succeed in college and/or careers. The challenges posed by entry-level career fields are no less daunting than those posed by college-level study. Thus, career and technical education students must learn effective math,…

Website on Protein Interaction and Protein Structure Related Work

NASA Technical Reports Server (NTRS)

Samanta, Manoj; Liang, Shoudan; Biegel, Bryan (Technical Monitor)

2003-01-01

In today's world, three seemingly diverse fields - computer information technology, nanotechnology and biotechnology are joining forces to enlarge our scientific knowledge and solve complex technological problems. Our group is dedicated to conduct theoretical research exploring the challenges in this area. The major areas of research include: 1) Yeast Protein Interactions; 2) Protein Structures; and 3) Current Transport through Small Molecules.

Teaching and Learning Science in the 21st Century: Challenging Critical Assumptions in Post-Secondary Science

ERIC Educational Resources Information Center

Glaze, Amanda L.

2018-01-01

It is widely agreed upon that the goal of science education is building a scientifically literate society. Although there are a range of definitions for science literacy, most involve an ability to problem solve, make evidence-based decisions, and evaluate information in a manner that is logical. Unfortunately, science literacy appears to be an…

Exploring Challenges and Opportunities of Coproduction: USDA Climate Hub Efforts to Integrate Coproduction with Applied Research and Decision Support Tool Development in the Northwest

NASA Astrophysics Data System (ADS)

Roesch-McNally, G.; Prendeville, H. R.

2017-12-01

A lack of coproduction, the joint production of new technologies or knowledge among technical experts and other groups, is arguably one of the reasons why much scientific information and resulting decision support systems are not very usable. Increasingly, public agencies and academic institutions are emphasizing the importance of coproduction of scientific knowledge and decision support systems in order to facilitate greater engagement between the scientific community and key stakeholder groups. Coproduction has been embraced as a way for the scientific community to develop actionable scientific information that will assist end users in solving real-world problems. Increasing the level of engagement and stakeholder buy-in to the scientific process is increasingly necessary, particularly in the context of growing politicization of science and the scientific process. Coproduction can be an effective way to build trust and can build-on and integrate local and traditional knowledge. Employing coproduction strategies may enable the development of more relevant and useful information and decision support tools that address stakeholder challenges at relevant scales. The USDA Northwest Climate Hub has increasingly sought ways to integrate coproduction in the development of both applied research projects and the development of decision support systems. Integrating coproduction, however, within existing institutions is not always simple, given that coproduction is often more focused on process than products and products are, for better or worse, often the primary focus of applied research and tool development projects. The USDA Northwest Climate Hub sought to integrate coproduction into our FY2017 call for proposal process. As a result we have a set of proposals and fledgling projects that fall along the engagement continuum (see Figure 1- attached). We will share the challenges and opportunities that emerged from this purposeful integration of coproduction into the work that we prioritized for funding. This effort highlights strategies for how federal agencies might consider how and whether to codify coproduction tenets into their collaborations and agenda setting.

Developing an NGSS Pedagogy for Climate Literacy and Energy Awareness Using the CLEAN Collection

NASA Astrophysics Data System (ADS)

Manning, C. L. B.; Taylor, J.; Oonk, D.; Sullivan, S. M.; Kirk, K.; Niepold, F., III

2017-12-01

The Next Generation Science Standards and A Framework for K-12 Science Education have introduced us to 3-dimensional science instruction. Together, these provide infinite opportunities to generate interesting problems inspiring instruction and motivating student learning. Finding good resources to support 3-dimensional learning is challenging. The Climate Literacy and Energy Awareness Network (CLEAN) as a comprehensive source of high-quality, NGSS-aligned resources that can be quickly and easily searched. Furthermore, teachers new to NGSS are asked to do the following: synthesize high quality, scientifically vetted resources to engage students in relevant phenomena, problems and projects develop place-awareness for where students live and learn encourage data analysis, modeling, and argumentation skills energize students to participate in finding possible solutions to the problems we face. These challenges are intensified when teaching climate science and energy technology, some of the most rapidly changing science and engineering fields. Educators can turn to CLEAN to find scientifically and pedagogically vetted resources to integrate into their lessons. In this presentation, we will introduce the newly developed Harmonics Planning Template, Guidance Videos and Flowchart that guide the development of instructionally-sound, NGSS-style units using the CLEAN collection of resources. To illustrate the process, three example units will be presented: Phenology - a place-based investigation, Debating the Grid - a deliberation on optimal energy grid solutions, and History of Earth's Atmosphere and Oceans - a data-rich collaborative investigation.

From Big Data to Knowledge in the Social Sciences.

PubMed

Hesse, Bradford W; Moser, Richard P; Riley, William T

2015-05-01

One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the Big Data to Knowledge or BD2K initiative. The concept of translating "big data to knowledge" is important to the social and behavioral sciences in several respects. First, a general shift to data-intensive science will exert an influence on all scientific disciplines, but particularly on the behavioral and social sciences given the wealth of behavior and related constructs captured by big data sources. Second, science is itself a social enterprise; by applying principles from the social sciences to the conduct of research, it should be possible to ameliorate some of the systemic problems that plague the scientific enterprise in the age of big data. We explore the feasibility of recalibrating the basic mechanisms of the scientific enterprise so that they are more transparent and cumulative; more integrative and cohesive; and more rapid, relevant, and responsive.

From Big Data to Knowledge in the Social Sciences

PubMed Central

Hesse, Bradford W.; Moser, Richard P.; Riley, William T.

2015-01-01

One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the Big Data to Knowledge or BD2K initiative. The concept of translating “big data to knowledge” is important to the social and behavioral sciences in several respects. First, a general shift to data-intensive science will exert an influence on all scientific disciplines, but particularly on the behavioral and social sciences given the wealth of behavior and related constructs captured by big data sources. Second, science is itself a social enterprise; by applying principles from the social sciences to the conduct of research, it should be possible to ameliorate some of the systemic problems that plague the scientific enterprise in the age of big data. We explore the feasibility of recalibrating the basic mechanisms of the scientific enterprise so that they are more transparent and cumulative; more integrative and cohesive; and more rapid, relevant, and responsive. PMID:26294799

Undergraduate Performance in Solving Ill-Defined Biochemistry Problems

PubMed Central

Sensibaugh, Cheryl A.; Madrid, Nathaniel J.; Choi, Hye-Jeong; Anderson, William L.; Osgood, Marcy P.

2017-01-01

With growing interest in promoting skills related to the scientific process, we studied performance in solving ill-defined problems demonstrated by graduating biochemistry majors at a public, minority-serving university. As adoption of techniques for facilitating the attainment of higher-order learning objectives broadens, so too does the need to appropriately measure and understand student performance. We extended previous validation of the Individual Problem Solving Assessment (IPSA) and administered multiple versions of the IPSA across two semesters of biochemistry courses. A final version was taken by majors just before program exit, and student responses on that version were analyzed both quantitatively and qualitatively. This mixed-methods study quantifies student performance in scientific problem solving, while probing the qualitative nature of unsatisfactory solutions. Of the five domains measured by the IPSA, we found that average graduates were only successful in two areas: evaluating given experimental data to state results and reflecting on performance after the solution to the problem was provided. The primary difficulties in each domain were quite different. The most widespread challenge for students was to design an investigation that rationally aligned with a given hypothesis. We also extend the findings into pedagogical recommendations. PMID:29180350

[The status quo and expectation of optometry research in China].

PubMed

Qu, Jia

2015-01-01

The eye care problems related to optometry involve a wide range, including visual problems during eye disease recovery, visual quality in surgical or non-surgical refractive corrections, and the etiological investigation of functional eye diseases like myopia. This article covers the current challenges to visual health care and the academic developments and contributions of optometry in China, including fundamental researches of myopia, refractive surgery and visual quality, and functional eye disease investigations. Some of the researches have certain impacts both domestically and overseas. Furthermore, scientific evidences to solve clinical problems and the current academic focuses that we should pay attention to are provided.

Speeding up parallel processing

NASA Technical Reports Server (NTRS)

Denning, Peter J.

1988-01-01

In 1967 Amdahl expressed doubts about the ultimate utility of multiprocessors. The formulation, now called Amdahl's law, became part of the computing folklore and has inspired much skepticism about the ability of the current generation of massively parallel processors to efficiently deliver all their computing power to programs. The widely publicized recent results of a group at Sandia National Laboratory, which showed speedup on a 1024 node hypercube of over 500 for three fixed size problems and over 1000 for three scalable problems, have convincingly challenged this bit of folklore and have given new impetus to parallel scientific computing.

Editorial: Research Domain Criteria (RDoC): a new psychiatric nosology whose time has not yet come.

PubMed

Peterson, Bradley S

2015-07-01

In developing new ways of classifying mental disorders, RDoC is developing a new nosology, a new way of dividing nature at its seams. Given the NIMH influence on research agendas across the world, this scientific agenda will have important consequences for researchers and clinicians worldwide. Defining discrete neural systems and the behavioral and cognitive functions they subserve is scientifically important. Understanding how these systems relate to clinical problems, patient suffering, and improved treatments has immense potential practical value for clinical care worldwide. This Editorial places the RDoC framework in context and then sets out a series of conceptual, empirical, and developmental challenges for RDoC. Together these challenges suggest that RDoC is premature as a nosology and, as currently implemented, risks being reified and overly rigid in its application. © 2015 Association for Child and Adolescent Mental Health.

A Hybrid Human-Computer Approach to the Extraction of Scientific Facts from the Literature.

PubMed

Tchoua, Roselyne B; Chard, Kyle; Audus, Debra; Qin, Jian; de Pablo, Juan; Foster, Ian

2016-01-01

A wealth of valuable data is locked within the millions of research articles published each year. Reading and extracting pertinent information from those articles has become an unmanageable task for scientists. This problem hinders scientific progress by making it hard to build on results buried in literature. Moreover, these data are loosely structured, encoded in manuscripts of various formats, embedded in different content types, and are, in general, not machine accessible. We present a hybrid human-computer solution for semi-automatically extracting scientific facts from literature. This solution combines an automated discovery, download, and extraction phase with a semi-expert crowd assembled from students to extract specific scientific facts. To evaluate our approach we apply it to a challenging molecular engineering scenario, extraction of a polymer property: the Flory-Huggins interaction parameter. We demonstrate useful contributions to a comprehensive database of polymer properties.

Barriers and Solutions to Conducting Large International, Interdisciplinary Research Projects

NASA Astrophysics Data System (ADS)

Pischke, Erin C.; Knowlton, Jessie L.; Phifer, Colin C.; Gutierrez Lopez, Jose; Propato, Tamara S.; Eastmond, Amarella; de Souza, Tatiana Martins; Kuhlberg, Mark; Picasso Risso, Valentin; Veron, Santiago R.; Garcia, Carlos; Chiappe, Marta; Halvorsen, Kathleen E.

2017-12-01

Global environmental problems such as climate change are not bounded by national borders or scientific disciplines, and therefore require international, interdisciplinary teamwork to develop understandings of their causes and solutions. Interdisciplinary scientific work is difficult enough, but these challenges are often magnified when teams also work across national boundaries. The literature on the challenges of interdisciplinary research is extensive. However, research on international, interdisciplinary teams is nearly non-existent. Our objective is to fill this gap by reporting on results from a study of a large interdisciplinary, international National Science Foundation Partnerships for International Research and Education (NSF-PIRE) research project across the Americas. We administered a structured questionnaire to team members about challenges they faced while working together across disciplines and outside of their home countries in Argentina, Brazil, and Mexico. Analysis of the responses indicated five major types of barriers to conducting interdisciplinary, international research: integration, language, fieldwork logistics, personnel and relationships, and time commitment. We discuss the causes and recommended solutions to the most common barriers. Our findings can help other interdisciplinary, international research teams anticipate challenges, and develop effective solutions to minimize the negative impacts of these barriers to their research.

Barriers and Solutions to Conducting Large International, Interdisciplinary Research Projects.

PubMed

Pischke, Erin C; Knowlton, Jessie L; Phifer, Colin C; Gutierrez Lopez, Jose; Propato, Tamara S; Eastmond, Amarella; de Souza, Tatiana Martins; Kuhlberg, Mark; Picasso Risso, Valentin; Veron, Santiago R; Garcia, Carlos; Chiappe, Marta; Halvorsen, Kathleen E

2017-12-01

Global environmental problems such as climate change are not bounded by national borders or scientific disciplines, and therefore require international, interdisciplinary teamwork to develop understandings of their causes and solutions. Interdisciplinary scientific work is difficult enough, but these challenges are often magnified when teams also work across national boundaries. The literature on the challenges of interdisciplinary research is extensive. However, research on international, interdisciplinary teams is nearly non-existent. Our objective is to fill this gap by reporting on results from a study of a large interdisciplinary, international National Science Foundation Partnerships for International Research and Education (NSF-PIRE) research project across the Americas. We administered a structured questionnaire to team members about challenges they faced while working together across disciplines and outside of their home countries in Argentina, Brazil, and Mexico. Analysis of the responses indicated five major types of barriers to conducting interdisciplinary, international research: integration, language, fieldwork logistics, personnel and relationships, and time commitment. We discuss the causes and recommended solutions to the most common barriers. Our findings can help other interdisciplinary, international research teams anticipate challenges, and develop effective solutions to minimize the negative impacts of these barriers to their research.

Misuses of biology in the context of the paranormal.

PubMed

Hewitt, G C

1988-04-15

Public suspicion of science stems from science's challenging of perceptions and myths about reality, and a public fear of new technology. The result is a susceptibility to pseudoscience. In claiming that creation 'science' is as valid as evolution the creationists misquote scientists and seek to spread their own 'scientific' myths concerning a young age for the earth, an act of creation based on a particular literalist interpretation of the Christian Bible and a single worldwide flood. They use methods of debate and politics, rather than scientific research. A selection of their arguments is examined and the nature of the evidence for evolution is discussed. Problems with the creation 'science' model are noted. In the myth of the hundredth monkey phenomenon, original research is misquoted to denigrate scientific research and support sentimental ideas of paranormal events. The misuse of science is seen as damaging to society because it reduces the effective gathering and application of scientific information. However, pseudoscience provides a valuable guide to gaps in public scientific education.

Implementing interactive decision support: A case for combining cyberinfrastructure, data fusion, and social process to mobilize scientific knowledge in sustainability problems

NASA Astrophysics Data System (ADS)

Pierce, S. A.

2014-12-01

Geosciences are becoming increasingly data intensive, particularly in relation to sustainability problems, which are multi-dimensional, weakly structured and characterized by high levels of uncertainty. In the case of complex resource management problems, the challenge is to extract meaningful information from data and make sense of it. Simultaneously, scientific knowledge alone is insufficient to change practice. Creating tools, and group decision support processes for end users to interact with data are key challenges to transforming science-based information into actionable knowledge. The ENCOMPASS project began as a multi-year case study in the Atacama Desert of Chile to design and implement a knowledge transfer model for energy-water-mining conflicts in the region. ENCOMPASS combines the use of cyberinfrastructure (CI), automated data collection, interactive interfaces for dynamic decision support, and participatory modelling to support social learning. A pilot version of the ENCOMPASS CI uses open source systems and serves as a structure to integrate and store multiple forms of data and knowledge, such as DEM, meteorological, water quality, geomicrobiological, energy demand, and groundwater models. In the case study, informatics and data fusion needs related to scientific uncertainty around deep groundwater flowpaths and energy-water connections. Users may upload data from field sites with handheld devices or desktops. Once uploaded, data assets are accessible for a variety of uses. To address multi-attributed decision problems in the Atacama region a standalone application with touch-enabled interfaces was created to improve real-time interactions with datasets by groups. The tool was used to merge datasets from the ENCOMPASS CI to support exploration among alternatives and build shared understanding among stakeholders. To date, the project has increased technical capacity among stakeholders, resulted in the creation of both for-profit and non-profit entities, enabled cross-sector collaboration with mining-indigenous stakeholders, and produced an interactive application for group decision support. ENCOMPASS leverages advances in computational tools to deliver data and models for group decision support applied to sustainability science problems.

International Symposium on Grids and Clouds (ISGC) 2017

NASA Astrophysics Data System (ADS)

2017-03-01

The International Symposium on Grids and Clouds (ISGC) 2017 will be held at Academia Sinica in Taipei, Taiwan from 5-10 March 2017, with co- located events and workshops. The main theme of ISGC 2017 is "Global Challenges: From Open Data to Open Science". The unprecedented progress in ICT has transformed the way education is conducted and research is carried out. The emerging global e-Infrastructure, championed by global science communities such as High Energy Physics, Astronomy, and Bio- medicine, must permeate into other sciences. Many areas, such as climate change, disaster mitigation, and human sustainability and well-being, represent global challenges where collaboration over e-Infrastructure will presumably help resolve the common problems of the people who are impacted. Access to global e-Infrastructure helps also the less globally organized, long-tail sciences, with their own collaboration challenges. Open data are not only a political phenomenon serving government transparency; they also create an opportunity to eliminate access barriers to all scientific data, specifically data from global sciences and regional data that concern natural phenomena and people. In this regard, the purpose of open data is to improve sciences, accelerating specifically those that may benefit people. Nevertheless, to eliminate barriers to open data is itself a daunting task and the barriers to individuals, institutions and big collaborations are manifold. Open science is a step beyond open data, where the tools and understanding of scientific data must be made available to whoever is interested to participate in such scientific research. The promotion of open science may change the academic tradition practiced over the past few hundred years. This change of dynamics may contribute to the resolution of common challenges of human sustainability where the current pace of scientific progress is not sufficiently fast. ISGC 2017 created a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges.

Worry, problem elaboration and suppression of imagery: the role of concreteness.

PubMed

Stöber, J

1998-01-01

Both lay concept and scientific theory claim that worry may be helpful for defining and analyzing problems. Recent studies, however, indicate that worrisome problem elaborations are less concrete than worry-free problem elaborations. This challenges the problem solving view of worry because abstract problem analyses are unlikely to lead to concrete problem solutions. Instead the findings support the avoidance theory of worry which claims that worry suppresses aversive imagery. Following research findings in the dual-coding framework [Paivio, A. (1971). Imagery and verbal processes. New York: Holt, Rhinehart and Winston; Paivio, A. (1986). Mental representations: a dual coding approach. New York: Oxford University Press.], the present article proposes that reduced concreteness may play a central role in the understanding of worry. First, reduced concreteness can explain how worry reduces imagery. Second, it offers an explanation why worrisome problem analyses are unlikely to arrive at solutions. Third, it provides a key for the understanding of worry maintenance.

Eco-analytical Methodology in Environmental Problems Monitoring

NASA Astrophysics Data System (ADS)

Agienko, M. I.; Bondareva, E. P.; Chistyakova, G. V.; Zhironkina, O. V.; Kalinina, O. I.

2017-01-01

Among the problems common to all mankind, which solutions influence the prospects of civilization, the problem of ecological situation monitoring takes very important place. Solution of this problem requires specific methodology based on eco-analytical comprehension of global issues. Eco-analytical methodology should help searching for the optimum balance between environmental problems and accelerating scientific and technical progress. The fact that Governments, corporations, scientists and nations focus on the production and consumption of material goods cause great damage to environment. As a result, the activity of environmentalists is developing quite spontaneously, as a complement to productive activities. Therefore, the challenge posed by the environmental problems for the science is the formation of geo-analytical reasoning and the monitoring of global problems common for the whole humanity. So it is expected to find the optimal trajectory of industrial development to prevent irreversible problems in the biosphere that could stop progress of civilization.

RIACS/USRA

NASA Technical Reports Server (NTRS)

Oliger, Joseph

1993-01-01

The Research Institute for Advanced Computer Science (RIACS) was established by the Universities Space Research Association (USRA) at the NASA Ames Research Center (ARC) on 6 June 1983. RIACS is privately operated by USRA, a consortium of universities with research programs in the aerospace sciences, under contract with NASA. The primary mission of RIACS is to provide research and expertise in computer science and scientific computing to support the scientific missions of NASA ARC. The research carried out at RIACS must change its emphasis from year to year in response to NASA ARC's changing needs and technological opportunities. A flexible scientific staff is provided through a university faculty visitor program, a post doctoral program, and a student visitor program. Not only does this provide appropriate expertise but it also introduces scientists outside of NASA to NASA problems. A small group of core RIACS staff provides continuity and interacts with an ARC technical monitor and scientific advisory group to determine the RIACS mission. RIACS activities are reviewed and monitored by a USRA advisory council and ARC technical monitor. Research at RIACS is currently being done in the following areas: Parallel Computing, Advanced Methods for Scientific Computing, High Performance Networks and Technology, and Learning Systems. Parallel compiler techniques, adaptive numerical methods for flows in complicated geometries, and optimization were identified as important problems to investigate for ARC's involvement in the Computational Grand Challenges of the next decade.

Best behaviour? Ontologies and the formal description of animal behaviour.

PubMed

Gkoutos, Georgios V; Hoehndorf, Robert; Tsaprouni, Loukia; Schofield, Paul N

2015-10-01

The development of ontologies for describing animal behaviour has proved to be one of the most difficult of all scientific knowledge domains. Ranging from neurological processes to human emotions, the range and scope needed for such ontologies is highly challenging, but if data integration and computational tools such as automated reasoning are to be fully applied in this important area the underlying principles of these ontologies need to be better established and development needs detailed coordination. Whilst the state of scientific knowledge is always paramount in ontology and formal description framework design, this is a particular problem with neurobehavioural ontologies where our understanding of the relationship between behaviour and its underlying biophysical basis is currently in its infancy. In this commentary, we discuss some of the fundamental problems in designing and using behaviour ontologies, and present some of the best developed tools in this domain.

How social science should complement scientific discovery: lessons from nanoscience

NASA Astrophysics Data System (ADS)

Berube, David M.

2018-05-01

This article examines the state of social science of science, particularly nanoscience. It reviews what has been done and offers a series of constructive criticisms. It examines some of the problems associated with experts and expertise and itemizes challenges we confront dealing with them. It presages some of the social science research work that we may consider to embrace in the future.

Physician Extender (Sr. NP or PA) | Center for Cancer Research

Cancer.gov

Be part of our mission to solve the most important, challenging and neglected problems in modern cancer research and patient care.  The National Cancer Institute’s Center for Cancer Research (CCR) is a world-leading cancer research organization working toward scientific breakthroughs at medicine’s cutting edge. Our scientists can’t do it alone. It takes an extraordinary team

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

Simbol-X Telescope Scientific Calibrations: Requirements and Plans

NASA Astrophysics Data System (ADS)

Malaguti, G.; Angelini, L.; Raimondi, L.; Moretti, A.; Trifoglio, M.

2009-05-01

The Simbol-X telescope characteristics and the mission scientific requirements impose a challenging calibration plan with a number of unprecedented issues. The 20 m focal length implies for the incoming X-ray beam a divergence comparable to the incidence angle of the mirror surface also for 100 m-long facilities. Moreover this is the first time that a direct focussing X-ray telescope will be calibrated on an energy band covering about three decades, and with a complex focal plane. These problems require a careful plan and organization of the measurements, together with an evaluation of the calibration needs in terms of both hardware and software.

Energy and scientific communication

NASA Astrophysics Data System (ADS)

De Sanctis, E.

2013-06-01

Energy communication is a paradigmatic case of scientific communication. It is particularly important today, when the world is confronted with a number of immediate, urgent problems. Science communication has become a real duty and a big challenge for scientists. It serves to create and foster a climate of reciprocal knowledge and trust between science and society, and to establish a good level of interest and enthusiasm for research. For an effective communication it is important to establish an open dialogue with the audience, and a close collaboration among scientists and science communicators. An international collaboration in energy communication is appropriate to better support international and interdisciplinary research and projects.

Human recognition in a video network

NASA Astrophysics Data System (ADS)

Bhanu, Bir

2009-10-01

Video networks is an emerging interdisciplinary field with significant and exciting scientific and technological challenges. It has great promise in solving many real-world problems and enabling a broad range of applications, including smart homes, video surveillance, environment and traffic monitoring, elderly care, intelligent environments, and entertainment in public and private spaces. This paper provides an overview of the design of a wireless video network as an experimental environment, camera selection, hand-off and control, anomaly detection. It addresses challenging questions for individual identification using gait and face at a distance and present new techniques and their comparison for robust identification.

Embryo Space Colonisation to Overcome the Interstellar Time Distance Bottleneck

NASA Astrophysics Data System (ADS)

Crowl, A.; Hunt, J.; Hein, A. M.

The immense distances to neighbouring star systems pose the single greatest challenge to a true interstellar mission. The challenge is made even greater if the purpose of the mission is scientific in which it is commonly stated that the mission should last no longer than the career of a participating scientist. This imposes speed requirements with a host of well-known problems of propulsion, immense vehicle mass, need for in-space infrastructure, impact hazards, proton flux, and deceleration. If instead the purpose of the interstellar mission is to ensure the survival of humanity by establishing a viable colony using frozen embryos, these many problems are potentially mitigated due to the fact that the speeds can be much slower. Sleeper ships are a suggested low speed alternative, but cosmic ray damage to suspended/frozen humans could place a limit on the acceptable duration of the mission thereby necessitating greater speed with the aforementioned challenges. Near-term solar-sail technology could be sufficient to launch an ESC mission once human ectogenetic technology has matured.

Training for Research in Mental Health and HIV/AIDS Among Racial and Ethnic Minority Populations: Meeting the Needs of New Investigators

PubMed Central

2009-01-01

My experiences as a mentor of young investigators, along with conversations with a diverse pool of mentees, led me to question the ability of conventional research methods, problem formulation, and instruments to address the unique challenges of studying racial and ethnic minorities. Training of new investi-gators should prepare them to explore alternative research paradigms and atypical research strategies, such as community-based participatory research and Photovoice technique. Unconventional approaches to research may challenge common explanations for unmet needs, noncompliance with treatments, and poor service outcomes. Mentors may need to develop broader theoretical insights that will facilitate unconventional problem formulation. The teaching of scientific research and mentoring of young investigators who study minority populations should evolve along with the changing research environment. PMID:19246670

Human-computer interfaces applied to numerical solution of the Plateau problem

NASA Astrophysics Data System (ADS)

Elias Fabris, Antonio; Soares Bandeira, Ivana; Ramos Batista, Valério

2015-09-01

In this work we present a code in Matlab to solve the Problem of Plateau numerically, and the code will include human-computer interface. The Problem of Plateau has applications in areas of knowledge like, for instance, Computer Graphics. The solution method will be the same one of the Surface Evolver, but the difference will be a complete graphical interface with the user. This will enable us to implement other kinds of interface like ocular mouse, voice, touch, etc. To date, Evolver does not include any graphical interface, which restricts its use by the scientific community. Specially, its use is practically impossible for most of the Physically Challenged People.

Key Issues in Hymenoptera Venom Allergy: An Update.

PubMed

Alfaya Arias, T; Soriano Gómis, V; Soto Mera, T; Vega Castro, A; Vega Gutiérrez, J M; Alonso Llamazares, A; Antolín Amérigo, D; Carballada Gonzalez, F J; Dominguez Noche, C; Gutierrez Fernandez, D; Marques Amat, L; Martinez Arcediano, A; Martinez San Ireneo, M; Moreno Ancillo, A; Puente Crespo, Y; Ruiz Leon, B; Sánchez Morillas, L

In this review, the Hymenoptera Allergy Committee of the SEAIC analyzes the most recent scientific literature addressing problems related to the diagnosis of hymenoptera allergy and to management of venom immunotherapy. Molecular diagnosis and molecular risk profiles are the key areas addressed. The appearance of new species of hymenoptera that are potentially allergenic in Spain and the associated diagnostic and therapeutic problems are also described. Finally, we analyze the issue of mast cell activation syndrome closely related to hymenoptera allergy, which has become a new diagnostic challenge for allergists given its high prevalence in patients with venom anaphylaxis.

"But Electricity Isn't Static": Science Discussion, Identification of Learning Issues, and Use of Resources in a Problem-Based Learning Education Course.

ERIC Educational Resources Information Center

Siegel, Marcelle A.; Lee, Julia A. C.

While increasing teachers' scientific knowledge base has been identified as a challenge for teacher education (e.g., NCES, 1996), the skills used to identify a need for knowledge and the skills necessary to search for that knowledge have been less discussed. Yet, the ability to learn for oneself is really the goal of lifelong teacher education. In…

Program Plan for 2005: NASA Scientific and Technical Information Program

NASA Technical Reports Server (NTRS)

2005-01-01

Throughout 2005 and beyond, NASA will be faced with great challenges and even greater opportunities. Following a period of reevaluation, reinvention, and transformation, we will move rapidly forward to leverage new partnerships, approaches, and technologies that will enhance the way we do business. NASA's Scientific and Technical Information (STI) Program, which functions under the auspices of the Agency's Chief Information Officer (CIO), is an integral part of NASA's future. The program supports the Agency's missions to communicate scientific knowledge and understanding and to help transfer NASA's research and development (R&D) information to the aerospace and academic communities and to the public. The STI Program helps ensure that the Agency will remain at the leading edge of R&D by quickly and efficiently capturing and sharing NASA and worldwide STI to use for problem solving, awareness, and knowledge management and transfer.

Distinctions between fraud, bias, errors, misunderstanding, and incompetence.

PubMed

DeMets, D L

1997-12-01

Randomized clinical trials are challenging not only in their design and analysis, but in their conduct as well. Despite the best intentions and efforts, problems often arise in the conduct of trials, including errors, misunderstandings, and bias. In some instances, key players in a trial may discover that they are not able or competent to meet requirements of the study. In a few cases, fraudulent activity occurs. While none of these problems is desirable, randomized clinical trials are usually found sufficiently robust by many key individuals to produce valid results. Other problems are not tolerable. Confusion may arise among scientists, scientific and lay press, and the public about the distinctions between these areas and their implications. We shall try to define these problems and illustrate their impact through a series of examples.

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.

Identifying problem and compulsive gamblers.

PubMed Central

van Es, R.

2000-01-01

OBJECTIVE: To present a meta-analysis of current research on the prevalence, identification, and treatment of problem and compulsive gamblers. QUALITY OF EVIDENCE: Problem and compulsive gambling was not a socio-scientific concern until the last two decades. Hence research on this topic is limited. The summary and analysis for this paper relied on computer searches of journal and news abstracts in addition to direct contact with organizations addressing the identification and treatment of compulsive gamblers. MAIN MESSAGE: An estimated 5% of those who gamble run into problems. About 1% of those who gamble are predicted to experience serious problems. Successful treatment of problem and compulsive gambling continues to be a challenge. Although cognitive therapy has been the favoured approach, a combination of several therapeutic approaches is advocated. CONCLUSIONS: Problem and compulsive gambling can present a real health threat. As with other addictions, treatment strategies continue to be a baffling social problem. Aware and informed physicians can have a pivotal role in the difficult process of identifying, acknowledging, and remediating problem and compulsive gambling. PMID:10907572

Integrated Concentration in Science (iCons): Undergraduate Education Through Interdisciplinary, Team-Based, Real-World Problem Solving

NASA Astrophysics Data System (ADS)

Tuominen, Mark

2013-03-01

Attitude, Skills, Knowledge (ASK) - In this order, these are fundamental characteristics of scientific innovators. Through first-hand practice in using science to unpack and solve complex real-world problems, students can become self-motivated scientific leaders. This presentation describes the pedagogy of a recently developed interdisciplinary undergraduate science education program at the University of Massachusetts Amherst focused on addressing global challenges with scientific solutions. Integrated Concentration in Science (iCons) is an overarching concentration program that supplements the curricula provided within each student's chosen major. iCons is a platform for students to perform student-led research in interdisciplinary collaborative teams. With a schedule of one course per year over four years, the cohort of students move through case studies, analysis of real-world problems, development of potential solutions, integrative communication, laboratory practice, and capstone research projects. In this presentation, a track emphasizing renewable energy science is used to illustrate the iCons pedagogical methods. This includes discussion of a third-year laboratory course in renewable energy that is educationally scaffolded: beginning with a boot camp in laboratory techniques and culminating with student-designed research projects. Among other objectives, this course emphasizes the practice of using reflection and redesign, as a means of generating better solutions and embedding learning for the long term. This work is supported in part by NSF grant DUE-1140805.

Crowdsourcing biomedical research: leveraging communities as innovation engines

PubMed Central

Saez-Rodriguez, Julio; Costello, James C.; Friend, Stephen H.; Kellen, Michael R.; Mangravite, Lara; Meyer, Pablo; Norman, Thea; Stolovitzky, Gustavo

2018-01-01

The generation of large-scale biomedical data is creating unprecedented opportunities for basic and translational science. Typically, the data producers perform initial analyses, but it is very likely that the most informative methods may reside with other groups. Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies. When the crowdsourcing is done in the form of collaborative scientific competitions, known as Challenges, the validation of the methods is inherently addressed. Challenges also encourage open innovation, create collaborative communities to solve diverse and important biomedical problems, and foster the creation and dissemination of well-curated data repositories. PMID:27418159

Crowdsourcing biomedical research: leveraging communities as innovation engines.

PubMed

Saez-Rodriguez, Julio; Costello, James C; Friend, Stephen H; Kellen, Michael R; Mangravite, Lara; Meyer, Pablo; Norman, Thea; Stolovitzky, Gustavo

2016-07-15

The generation of large-scale biomedical data is creating unprecedented opportunities for basic and translational science. Typically, the data producers perform initial analyses, but it is very likely that the most informative methods may reside with other groups. Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies. When the crowdsourcing is done in the form of collaborative scientific competitions, known as Challenges, the validation of the methods is inherently addressed. Challenges also encourage open innovation, create collaborative communities to solve diverse and important biomedical problems, and foster the creation and dissemination of well-curated data repositories.

Molecular optoelectronics: the interaction of molecular conduction junctions with light.

PubMed

Galperin, Michael; Nitzan, Abraham

2012-07-14

The interaction of light with molecular conduction junctions is attracting growing interest as a challenging experimental and theoretical problem on one hand, and because of its potential application as a characterization and control tool on the other. It stands at the interface between two important fields, molecular electronics and molecular plasmonics and has attracted attention as a challenging scientific problem with potentially important technological consequences. Here we review the present state of the art of this field, focusing on several key phenomena and applications: using light as a switching device, using light to control junction transport in the adiabatic and non-adiabatic regimes, light generation in biased junctions and Raman scattering from such systems. This field has seen remarkable progress in the past decade, and the growing availability of scanning tip configurations that can combine optical and electrical probes suggests that further progress towards the goal of realizing molecular optoelectronics on the nanoscale is imminent.

Challenges and advances in quantum dot fluorescent probes to detect reactive oxygen and nitrogen species: a review.

PubMed

Adegoke, Oluwasesan; Forbes, Patricia B C

2015-03-03

The pathological and physiological effects of reactive oxygen and nitrogen species (ROS/RNS) have instigated increasing awareness in the scientific field with respect to the development of suitable probes for their detection. Among the various probes developed to date, semiconductor quantum dots (QDs) fluorescent probes have attracted significant attention. The unfavourable properties of ROS/RNS with respect to their detection, such as their short lifetimes and the competitive presence of various endogenous reactive species, capable of interfering with the probe in biological matrices, have hindered the effective performance of most probes as well as complicating the design of suitable probes. The development of novel QD fluorescent probes capable of circumventing these problems is thus, of scientific interest. In this review, we highlight the challenges faced, pros and cons and published developments to date, with respect to QD fluorescent probes for ROS/RNS such as H2O2, O2(·-), ·OH, HOCl, NO and ONOO(-). Copyright © 2014 Elsevier B.V. All rights reserved.

Challenges in the Japan Beyond-Brittle Project (JBBP) for EGS development beyond the brittle-ductile transition

NASA Astrophysics Data System (ADS)

Asanuma, H.; Muraoka, H.; Tsuchiya, N.; Ito, H.

2013-12-01

Development using Engineered Geothermal System (EGS) technologies is considered to be the best solution to the problems of the localized distribution of geothermal resources. However, it is considered that a number of problems, including low water recovery rate, difficulty in design of the reservoir, and induced earthquake, would appear in Japanese EGS. These problems in the development of EGS reservoirs cannot be readily solved in Japan because they are intrinsically related to the physical characteristics and tectonic setting of the brittle rock mass. Therefore, we have initiated the Japan Beyond-Brittle Project (JBBP), which will take a multidisciplinary scientific approach, including geology, geochemistry, geophysics, water-rock interactions, rock mechanics, seismology, drilling technology, well-logging technology, and reservoir engineering. The science and technology required for the creation and control of geothermal reservoirs in superheated rocks in the ductile zone is at the frontier of modern research in most of the related disciplines. Solutions to the associated problems will not easily be found without international collaboration among researchers and engineers. For this reason, in March, 2013 we held a five-day ICDP-supported workshop in Japan to review and discuss various scientific and technological issues related to the JBBP. Throughout the discussions at the workshop on characteristics of the beyond-brittle rock mass and creation and control of EGS reservoirs in the ductile zone, it has concluded that there are two end-member reservoir models that should be considered (Fig. 1). The JBBP reservoir type-1 would be created near the top of the brittle-ductile transition (BDT) and connected to pre-existing hydrothermal systems, which would increase productivity and provide sustainability. The JBBP reservoir type-2 would be hydraulically or thermally created beyond the BDT, where pre-existing fractures are less permeable, and would be hydraulically isolated from the hydrothermal system. Discussions on exploration/monitoring of the BDT rock mass and JBBP reservoirs, and engineering development have been also made in the workshop. We finally identified scientific/technological challenges for the JBBP and established roadmap and implementation plan. The workshop report is available at http://jbbp.kankyo.tohoku.ac.jp/jbbp Conceptual model of the JBBP

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…

Human nutrition, the gut microbiome, and immune system: envisioning the future

PubMed Central

Kau, Andrew L.; Ahern, Philip P.; Griffin, Nicholas W.; Goodman, Andrew L.; Gordon, Jeffrey I.

2012-01-01

Summary Paragraph Dramatic changes in socioeconomic status, cultural traditions, population growth, and agriculture are affecting diets worldwide. Understanding how our diet and nutritional status influence the composition and dynamic operations of our gut microbial communities, and the innate and adaptive arms of our immune system, represents an area of scientific need, opportunity and challenge. The insights gleaned should help address a number of pressing global health problems. PMID:21677749

Is it possible to give scientific solutions to Grand Challenges? On the idea of grand challenges for life science research.

PubMed

Efstathiou, Sophia

2016-04-01

This paper argues that challenges that are grand in scope such as "lifelong health and wellbeing", "climate action", or "food security" cannot be addressed through scientific research only. Indeed scientific research could inhibit addressing such challenges if scientific analysis constrains the multiple possible understandings of these challenges into already available scientific categories and concepts without translating between these and everyday concerns. This argument builds on work in philosophy of science and race to postulate a process through which non-scientific notions become part of science. My aim is to make this process available to scrutiny: what I call founding everyday ideas in science is both culturally and epistemologically conditioned. Founding transforms a common idea into one or more scientifically relevant ones, which can be articulated into descriptively thicker and evaluatively deflated terms and enable operationalisation and measurement. The risk of founding however is that it can invisibilise or exclude from realms of scientific scrutiny interpretations that are deemed irrelevant, uninteresting or nonsensical in the domain in question-but which may remain salient for addressing grand-in-scope challenges. The paper considers concepts of "wellbeing" in development economics versus in gerontology to illustrate this process. Copyright © 2015 Elsevier Ltd. All rights reserved.

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case

PubMed Central

Faigen, Zachary; Deyneka, Lana; Ising, Amy; Neill, Daniel; Conway, Mike; Fairchild, Geoffrey; Gunn, Julia; Swenson, David; Painter, Ian; Johnson, Lauren; Kiley, Chris; Streichert, Laura

2015-01-01

Introduction: We document a funded effort to bridge the gap between constrained scientific challenges of public health surveillance and methodologies from academia and industry. Component tasks are the collection of epidemiologists’ use case problems, multidisciplinary consultancies to refine them, and dissemination of problem requirements and shareable datasets. We describe an initial use case and consultancy as a concrete example and challenge to developers. Materials and Methods: Supported by the Defense Threat Reduction Agency Biosurveillance Ecosystem project, the International Society for Disease Surveillance formed an advisory group to select tractable use case problems and convene inter-disciplinary consultancies to translate analytic needs into well-defined problems and to promote development of applicable solution methods. The initial consultancy’s focus was a problem originated by the North Carolina Department of Health and its NC DETECT surveillance system: Derive a method for detection of patient record clusters worthy of follow-up based on free-text chief complaints and without syndromic classification. Results: Direct communication between public health problem owners and analytic developers was informative to both groups and constructive for the solution development process. The consultancy achieved refinement of the asyndromic detection challenge and of solution requirements. Participants summarized and evaluated solution approaches and discussed dissemination and collaboration strategies. Practice Implications: A solution meeting the specification of the use case described above could improve human monitoring efficiency with expedited warning of events requiring follow-up, including otherwise overlooked events with no syndromic indicators. This approach can remove obstacles to collaboration with efficient, minimal data-sharing and without costly overhead. PMID:26834939

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case.

PubMed

Faigen, Zachary; Deyneka, Lana; Ising, Amy; Neill, Daniel; Conway, Mike; Fairchild, Geoffrey; Gunn, Julia; Swenson, David; Painter, Ian; Johnson, Lauren; Kiley, Chris; Streichert, Laura; Burkom, Howard

2015-01-01

We document a funded effort to bridge the gap between constrained scientific challenges of public health surveillance and methodologies from academia and industry. Component tasks are the collection of epidemiologists' use case problems, multidisciplinary consultancies to refine them, and dissemination of problem requirements and shareable datasets. We describe an initial use case and consultancy as a concrete example and challenge to developers. Supported by the Defense Threat Reduction Agency Biosurveillance Ecosystem project, the International Society for Disease Surveillance formed an advisory group to select tractable use case problems and convene inter-disciplinary consultancies to translate analytic needs into well-defined problems and to promote development of applicable solution methods. The initial consultancy's focus was a problem originated by the North Carolina Department of Health and its NC DETECT surveillance system: Derive a method for detection of patient record clusters worthy of follow-up based on free-text chief complaints and without syndromic classification. Direct communication between public health problem owners and analytic developers was informative to both groups and constructive for the solution development process. The consultancy achieved refinement of the asyndromic detection challenge and of solution requirements. Participants summarized and evaluated solution approaches and discussed dissemination and collaboration strategies. A solution meeting the specification of the use case described above could improve human monitoring efficiency with expedited warning of events requiring follow-up, including otherwise overlooked events with no syndromic indicators. This approach can remove obstacles to collaboration with efficient, minimal data-sharing and without costly overhead.

Challenges of the Health Research System in a Medical Research Institute in Iran: A Qualitative Content Analysis

PubMed Central

Bahadori, Mohammadkarim; Momeni, Khalil; Ravangard, Ramin; Yaghoubi, Maryam; Alimohammadzadeh, Khalil; Teymourzadeh, Ehsan; Tavana, Ali Mehrabi

2015-01-01

Background and Aim: Medical research institute is the main basis for knowledge production through conducting research, and paying attention to the research is one of the most important things in the scientific communities. At present, there is a large gap between knowledge production in Iran compared to that in other countries. This study aimed to identify the challenge of research system in a research institute of medical sciences in Iran. Matherials and Methods: This was a descriptive and qualitative study conducted in the first 6 months of 2013. A qualitative content analysis was conducted on 16 heads of research centers in a research institute of medical sciences. The required data were gathered using semi-structured interviews. The collected data were analyzed using MAXQDA 10.0 software. Results: Six themes identified as challenges of research system. The themes included barriers related to the design and development, and approval of research projects, the implementation of research projects, the administrative and managerial issues in the field of research, the personal problems, publishing articles, and guidelines and recommendations. Conclusion: Based on the results of the present study, the following suggestions can be offered: pushing the research towards solving the problems of society, employing the strong executive and scientific reseach directors in the field of research, providing training courses for researchers on how to write proposals, implementing administrative reforms in the Deputy of Research and Technology, accelerating the approval of the projects through automating the administrative and peer-reviewing processes. PMID:25560335

Scientific drilling projects in ancient lakes: Integrating geological and biological histories

NASA Astrophysics Data System (ADS)

Wilke, Thomas; Wagner, Bernd; Van Bocxlaer, Bert; Albrecht, Christian; Ariztegui, Daniel; Delicado, Diana; Francke, Alexander; Harzhauser, Mathias; Hauffe, Torsten; Holtvoeth, Jens; Just, Janna; Leng, Melanie J.; Levkov, Zlatko; Penkman, Kirsty; Sadori, Laura; Skinner, Alister; Stelbrink, Björn; Vogel, Hendrik; Wesselingh, Frank; Wonik, Thomas

2016-08-01

Sedimentary sequences in ancient or long-lived lakes can reach several thousands of meters in thickness and often provide an unrivalled perspective of the lake's regional climatic, environmental, and biological history. Over the last few years, deep-drilling projects in ancient lakes became increasingly multi- and interdisciplinary, as, among others, seismological, sedimentological, biogeochemical, climatic, environmental, paleontological, and evolutionary information can be obtained from sediment cores. However, these multi- and interdisciplinary projects pose several challenges. The scientists involved typically approach problems from different scientific perspectives and backgrounds, and setting up the program requires clear communication and the alignment of interests. One of the most challenging tasks, besides the actual drilling operation, is to link diverse datasets with varying resolution, data quality, and age uncertainties to answer interdisciplinary questions synthetically and coherently. These problems are especially relevant when secondary data, i.e., datasets obtained independently of the drilling operation, are incorporated in analyses. Nonetheless, the inclusion of secondary information, such as isotopic data from fossils found in outcrops or genetic data from extant species, may help to achieve synthetic answers. Recent technological and methodological advances in paleolimnology are likely to increase the possibilities of integrating secondary information. Some of the new approaches have started to revolutionize scientific drilling in ancient lakes, but at the same time, they also add a new layer of complexity to the generation and analysis of sediment-core data. The enhanced opportunities presented by new scientific approaches to study the paleolimnological history of these lakes, therefore, come at the expense of higher logistic, communication, and analytical efforts. Here we review types of data that can be obtained in ancient lake drilling projects and the analytical approaches that can be applied to empirically and statistically link diverse datasets to create an integrative perspective on geological and biological data. In doing so, we highlight strengths and potential weaknesses of new methods and analyses, and provide recommendations for future interdisciplinary deep-drilling projects.

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.

The Integrity of Science: Identifying Logical Fallacies, Deceitful Tactics, and Abuse of the Public Trust

NASA Astrophysics Data System (ADS)

Gleick, P. H.

2006-12-01

Science, government, and society interact in diverse and complex ways, but good scientific information and advice are vital for making sound policy decisions. Recent efforts to discredit or distort science for political agendas raise difficult questions for the scientific community. As a result, there is growing distrust of scientists long held in esteem by the public and a growing misuse of science critical for public policy. This paper will categorize and define more than 20 different kinds of problems that challenge the integrity of science, including logical fallacies, such as Arguments from Ideology, Personal Incredulity, or Ignorance; and deceitful tactics, such as ad hominem attacks, "straw man" mischaracterizations, scientific misconduct, and misuse of facts. Examples from the geophysical sciences and its intersection with the public policy arena will be presented, together with suggestions for strengthening the public trust.

Matching traditional and scientific observations to detect environmental change: a discussion on Arctic terrestrial ecosystems.

PubMed

Huntington, Henry; Callaghan, Terry; Fox, Shari; Krupnik, Igor

2004-11-01

Recent environmental changes are having, and are expected to continue to have, significant impacts in the Arctic as elsewhere in the world. Detecting those changes and determining the mechanisms that cause them are far from trivial problems. The use of multiple methods of observation can increase confidence in individual observations, broaden the scope of information available about environmental change, and contribute to insights concerning mechanisms of change. In this paper, we examine the ways that using traditional ecological knowledge (TEK) together with scientific observations can achieve these objectives. A review of TEK observations in comparison with scientific observations demonstrates the promise of this approach, while also revealing several challenges to putting it into practice on a large scale. Further efforts are suggested, particularly in undertaking collaborative projects designed to produce parallel observations that can be readily compared and analyzed in greater detail than is possible in an opportunistic sample.

Public health impacts of climate change in Nepal.

PubMed

Joshi, H D; Dhimal, B; Dhimal, M; Bhusal, C L

2011-04-01

Climate change is a global issue in this century which has challenged the survival of living creatures affecting the life supporting systems of the earth: atmosphere, hydrosphere and lithosphere. Scientists have reached in a consensus that climate change is happening. The anthropogenic emission of greenhouse gases is responsible for global warming and therefore climate change. Climate change may directly or indirectly affect human health through a range of pathways related to temperature and precipitation. The aim of this article is to share knowledge on how climate change can affect public health in Nepal based on scientific evidence from global studies and experience gained locally. In this review attempt has been made to critically analyze the scientific studies as well as policy documents of Nepalese Government and shed light on public health impact of climate change in the context of Nepal. Detailed scientific study is recommended to discern impact of climate change on public health problems in Nepal.

The Science DMZ: A Network Design Pattern for Data-Intensive Science

DOE PAGES

Dart, Eli; Rotman, Lauren; Tierney, Brian; ...

2014-01-01

The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers andmore » research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.« less

Mathematical and Computational Challenges in Population Biology and Ecosystems Science

NASA Technical Reports Server (NTRS)

Levin, Simon A.; Grenfell, Bryan; Hastings, Alan; Perelson, Alan S.

1997-01-01

Mathematical and computational approaches provide powerful tools in the study of problems in population biology and ecosystems science. The subject has a rich history intertwined with the development of statistics and dynamical systems theory, but recent analytical advances, coupled with the enhanced potential of high-speed computation, have opened up new vistas and presented new challenges. Key challenges involve ways to deal with the collective dynamics of heterogeneous ensembles of individuals, and to scale from small spatial regions to large ones. The central issues-understanding how detail at one scale makes its signature felt at other scales, and how to relate phenomena across scales-cut across scientific disciplines and go to the heart of algorithmic development of approaches to high-speed computation. Examples are given from ecology, genetics, epidemiology, and immunology.

Cross-Identification of Astronomical Catalogs on Multiple GPUs

NASA Astrophysics Data System (ADS)

Lee, M. A.; Budavári, T.

2013-10-01

One of the most fundamental problems in observational astronomy is the cross-identification of sources. Observations are made in different wavelengths, at different times, and from different locations and instruments, resulting in a large set of independent observations. The scientific outcome is often limited by our ability to quickly perform meaningful associations between detections. The matching, however, is difficult scientifically, statistically, as well as computationally. The former two require detailed physical modeling and advanced probabilistic concepts; the latter is due to the large volumes of data and the problem's combinatorial nature. In order to tackle the computational challenge and to prepare for future surveys, whose measurements will be exponentially increasing in size past the scale of feasible CPU-based solutions, we developed a new implementation which addresses the issue by performing the associations on multiple Graphics Processing Units (GPUs). Our implementation utilizes up to 6 GPUs in combination with the Thrust library to achieve an over 40x speed up verses the previous best implementation running on a multi-CPU SQL Server.

A cross-disciplinary introduction to quantum annealing-based algorithms

NASA Astrophysics Data System (ADS)

Venegas-Andraca, Salvador E.; Cruz-Santos, William; McGeoch, Catherine; Lanzagorta, Marco

2018-04-01

A central goal in quantum computing is the development of quantum hardware and quantum algorithms in order to analyse challenging scientific and engineering problems. Research in quantum computation involves contributions from both physics and computer science; hence this article presents a concise introduction to basic concepts from both fields that are used in annealing-based quantum computation, an alternative to the more familiar quantum gate model. We introduce some concepts from computer science required to define difficult computational problems and to realise the potential relevance of quantum algorithms to find novel solutions to those problems. We introduce the structure of quantum annealing-based algorithms as well as two examples of this kind of algorithms for solving instances of the max-SAT and Minimum Multicut problems. An overview of the quantum annealing systems manufactured by D-Wave Systems is also presented.

Computational Science: A Research Methodology for the 21st Century

NASA Astrophysics Data System (ADS)

Orbach, Raymond L.

2004-03-01

Computational simulation - a means of scientific discovery that employs computer systems to simulate a physical system according to laws derived from theory and experiment - has attained peer status with theory and experiment. Important advances in basic science are accomplished by a new "sociology" for ultrascale scientific computing capability (USSCC), a fusion of sustained advances in scientific models, mathematical algorithms, computer architecture, and scientific software engineering. Expansion of current capabilities by factors of 100 - 1000 open up new vistas for scientific discovery: long term climatic variability and change, macroscopic material design from correlated behavior at the nanoscale, design and optimization of magnetic confinement fusion reactors, strong interactions on a computational lattice through quantum chromodynamics, and stellar explosions and element production. The "virtual prototype," made possible by this expansion, can markedly reduce time-to-market for industrial applications such as jet engines and safer, more fuel efficient cleaner cars. In order to develop USSCC, the National Energy Research Scientific Computing Center (NERSC) announced the competition "Innovative and Novel Computational Impact on Theory and Experiment" (INCITE), with no requirement for current DOE sponsorship. Fifty nine proposals for grand challenge scientific problems were submitted for a small number of awards. The successful grants, and their preliminary progress, will be described.

Ethical and Legal Implications of the Methodological Crisis in Neuroimaging.

PubMed

Kellmeyer, Philipp

2017-10-01

Currently, many scientific fields such as psychology or biomedicine face a methodological crisis concerning the reproducibility, replicability, and validity of their research. In neuroimaging, similar methodological concerns have taken hold of the field, and researchers are working frantically toward finding solutions for the methodological problems specific to neuroimaging. This article examines some ethical and legal implications of this methodological crisis in neuroimaging. With respect to ethical challenges, the article discusses the impact of flawed methods in neuroimaging research in cognitive and clinical neuroscience, particularly with respect to faulty brain-based models of human cognition, behavior, and personality. Specifically examined is whether such faulty models, when they are applied to neurological or psychiatric diseases, could put patients at risk, and whether this places special obligations on researchers using neuroimaging. In the legal domain, the actual use of neuroimaging as evidence in United States courtrooms is surveyed, followed by an examination of ways that the methodological problems may create challenges for the criminal justice system. Finally, the article reviews and promotes some promising ideas and initiatives from within the neuroimaging community for addressing the methodological problems.

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.

Challenges and Prospects of Liberal Democracy in West Africa: A Comparative Assessment of Benin, Ghana and Nigeria

DTIC Science & Technology

2009-06-01

entitled The National Conference Phenomenon in Francophone Africa published on February 19, 1990, authored by Pearl T . Robinson who is a world...is still unexplained variance in one or more dimensions” ( George 2001, 181-183). It therefore facilitates the formulation of an initial hypothesis...create problems from a strictly academic/scientific point of view (Nugent 2001, 205). 50 George and Bennett; Ambert et al.; and Crawford et al. each

Challenges and opportunities of cloud computing for atmospheric sciences

NASA Astrophysics Data System (ADS)

Pérez Montes, Diego A.; Añel, Juan A.; Pena, Tomás F.; Wallom, David C. H.

2016-04-01

Cloud computing is an emerging technological solution widely used in many fields. Initially developed as a flexible way of managing peak demand it has began to make its way in scientific research. One of the greatest advantages of cloud computing for scientific research is independence of having access to a large cyberinfrastructure to fund or perform a research project. Cloud computing can avoid maintenance expenses for large supercomputers and has the potential to 'democratize' the access to high-performance computing, giving flexibility to funding bodies for allocating budgets for the computational costs associated with a project. Two of the most challenging problems in atmospheric sciences are computational cost and uncertainty in meteorological forecasting and climate projections. Both problems are closely related. Usually uncertainty can be reduced with the availability of computational resources to better reproduce a phenomenon or to perform a larger number of experiments. Here we expose results of the application of cloud computing resources for climate modeling using cloud computing infrastructures of three major vendors and two climate models. We show how the cloud infrastructure compares in performance to traditional supercomputers and how it provides the capability to complete experiments in shorter periods of time. The monetary cost associated is also analyzed. Finally we discuss the future potential of this technology for meteorological and climatological applications, both from the point of view of operational use and research.

Wavelet-Based Interpolation and Representation of Non-Uniformly Sampled Spacecraft Mission Data

NASA Technical Reports Server (NTRS)

Bose, Tamal

2000-01-01

A well-documented problem in the analysis of data collected by spacecraft instruments is the need for an accurate, efficient representation of the data set. The data may suffer from several problems, including additive noise, data dropouts, an irregularly-spaced sampling grid, and time-delayed sampling. These data irregularities render most traditional signal processing techniques unusable, and thus the data must be interpolated onto an even grid before scientific analysis techniques can be applied. In addition, the extremely large volume of data collected by scientific instrumentation presents many challenging problems in the area of compression, visualization, and analysis. Therefore, a representation of the data is needed which provides a structure which is conducive to these applications. Wavelet representations of data have already been shown to possess excellent characteristics for compression, data analysis, and imaging. The main goal of this project is to develop a new adaptive filtering algorithm for image restoration and compression. The algorithm should have low computational complexity and a fast convergence rate. This will make the algorithm suitable for real-time applications. The algorithm should be able to remove additive noise and reconstruct lost data samples from images.

Problems and challenges of predatory journals.

PubMed

Richtig, Georg; Berger, Marina; Lange-Asschenfeldt, Bernhard; Aberer, Werner; Richtig, Erika

2018-05-05

The companies publishing predatory journals are an emerging problem in the area of scientific literature since they only seek to drain money from authors without providing any customer service for the authors or their readership. These predatory journals try to attract new submissions by aggressive email advertising and high acceptance rates. But in turn, they do not provide proper peer-review and therefore the scientific quality of submitted articles is questionable. This is important because more and more people, including patients, are reading such journals and rely on the information they provide. Consequently, predatory journals are a serious threat to the integrity of medical science, and it is crucial for scientists, physicians and even patients to be aware of this problem. In this review, we briefly summarize the history of the open access movement, as well as the rise of and roles played by predatory journals. In conclusion, young and unexperienced authors publishing in a predatory journal must be aware of the damage of their reputation, of inadequate peer-review processes and that unprofitable journals might get closed and all published articles in that journal might be lost. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

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.

Workshop on Advancing Experimental Rock Deformation Research: Scientific and Technical Needs

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

Tullis, Terry E.

A workshop for the experimental rock deformation community was held in Boston on August 16-19, 2012, following some similar but smaller preliminary meetings. It was sponsored primarily by the NSF, with additional support from the DOE, the SCEC, and in-kind support by the USGS. A white paper summarizing the active discussions at the workshop and the outcomes is available (https://brownbox.brown.edu/download.php?hash=0b854d11). Those attending included practitioners of experimental rock deformation, i.e., those who conduct laboratory experiments, as well as users of the data provided by practitioners, namely field geologists, seismologists, geodynamicists, earthquake modelers, and scientists from the oil and gas industry. Amore » considerable fraction of those attending were early-career scientists. The discussion initially focused on identifying the most important unsolved scientific problems in all of the research areas represented by the users that experiments would help solve. This initial session was followed by wide-ranging discussions of the most critical problems faced by practitioners, particularly by early-career scientists. The discussion also focused on the need for designing and building the next generation of experimental rock deformation equipment required to meet the identified scientific challenges. The workshop participants concluded that creation of an experimental rock deformation community organization is needed to address many of the scientific, technical, and demographic problems faced by this community. A decision was made to hold an organizational meeting of this new organization in San Francisco on December 1-2, 2012, just prior to the Fall Meeting of the AGU. The community has decided to name this new organization “Deformation Experimentation at the Frontier Of Rock and Mineral research” or DEFORM. As of May 1, 2013, 64 institutions have asked to be members of DEFORM.« less

Teacher’s Stimulus Helps Students Achieve Mathematics Reasoning and Problem Solving Competences

NASA Astrophysics Data System (ADS)

Hidayah, Isti; Pujiastuti, Emi; Chrisna, Jeanet Eva

2017-04-01

The students’ problem-solving ability in mathematics learning still becomes a challenge for teachers, especially in primary education. The scientific approach, with its activities including observing, asking, collecting information/experimenting/trying, associating/analysing information/reasoning, communicating/presenting/ networking is expected to be able to help students to achieve their competence of reasoning and problem-solving. The Missouri Mathematics Project learning by using student worksheet and manipulative (classical and group) have helped students achieved problem-solving competence. The implementation of scientific approach in the activities of observing, experimenting, and communicating are good. However, the questioning and associating activities are still less promoted. The result of observation towards four meetings of learning by using teaching aids shows that the expected activity which did not emerge during the learning is “students ask questions from the factual thing to hypothetical thing, starting with guidance from teacher until they can do by themselves”. The result of analysis towards theoretical background and research result conclude that the students’ asking and thinking abilities can be developed gradually by delivering stimuli in the form of tasks which have been designed by the teacher. The task could be a problem or a clue; then the students determine things such as: “what the question?”, “facts from pictures/text/graphs/tables”, “find the hidden question”, what’s extra?”, “what’s missing?”, “what’s wrong?”, alternatively, “make up the problem.

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

Time for a change: addressing R&D and commercialization challenges for antibacterials

PubMed Central

Payne, David J.; Miller, Linda Federici; Findlay, David; Anderson, James; Marks, Lynn

2015-01-01

The antibacterial therapeutic area has been described as the perfect storm. Resistance is increasing to the point that our hospitals encounter patients infected with untreatable pathogens, the overall industry pipeline is described as dry and most multinational pharmaceutical companies have withdrawn from the area. Major contributing factors to the declining antibacterial industry pipeline include scientific challenges, clinical/regulatory hurdles and low return on investment. This paper examines these challenges and proposes approaches to address them. There is a need for a broader scientific agenda to explore new approaches to discover and develop antibacterial agents. Additionally, ideas of how industry and academia could be better integrated will be presented. While promising progress in the regulatory environment has been made, more streamlined regulatory paths are still required and the solutions will lie in global harmonization and clearly defined guidance. Creating the right incentives for antibacterial research and development is critical and a new commercial model for antibacterial agents will be proposed. One key solution to help resolve both the problem of antimicrobial resistance (AMR) and lack of new drug development are rapid, cost-effective, accurate point of care diagnostics that will transform antibacterial prescribing and enable more cost-effective and efficient antibacterial clinical trials. The challenges of AMR are too great for any one group to resolve and success will require leadership and partnerships among academia, industry and governments globally. PMID:25918443

Challenges in the automated classification of variable stars in large databases

NASA Astrophysics Data System (ADS)

Graham, Matthew; Drake, Andrew; Djorgovski, S. G.; Mahabal, Ashish; Donalek, Ciro

2017-09-01

With ever-increasing numbers of astrophysical transient surveys, new facilities and archives of astronomical time series, time domain astronomy is emerging as a mainstream discipline. However, the sheer volume of data alone - hundreds of observations for hundreds of millions of sources - necessitates advanced statistical and machine learning methodologies for scientific discovery: characterization, categorization, and classification. Whilst these techniques are slowly entering the astronomer's toolkit, their application to astronomical problems is not without its issues. In this paper, we will review some of the challenges posed by trying to identify variable stars in large data collections, including appropriate feature representations, dealing with uncertainties, establishing ground truths, and simple discrete classes.

[Climatic change and skin: diagnostic and therapeutic challenges].

PubMed

Llamas-Velasco, M; García-Díez, A

2010-06-01

Scientifics are warning us about a global warming tendency and diminished rainfalls. Quantity, causes and human activity influence remain controversial. Warming could increase prevalence of some cutaneous pathology. Sensible skin and skin xerosis would be more prevalent if relative humidity decreases. Alterations of skin barrier;s function would increase seriousness and prevalence of atopic dermatitis. Furthermore, the higher UVB proportion reaching Earth's surface, in conjunction with increased sunbathing population habits, will increase cutaneous cancer and photoaging rates without a correct photoprotection. Also, habitats of some infectious diseases; vectors are changing. The facing of these problems will be a real challenge for the dermatologist, who will have a very important role on prevention, diagnoses and early treatment of them.

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.

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.

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

CFD and ventilation research.

PubMed

Li, Y; Nielsen, P V

2011-12-01

There has been a rapid growth of scientific literature on the application of computational fluid dynamics (CFD) in the research of ventilation and indoor air science. With a 1000-10,000 times increase in computer hardware capability in the past 20 years, CFD has become an integral part of scientific research and engineering development of complex air distribution and ventilation systems in buildings. This review discusses the major and specific challenges of CFD in terms of turbulence modelling, numerical approximation, and boundary conditions relevant to building ventilation. We emphasize the growing need for CFD verification and validation, suggest ongoing needs for analytical and experimental methods to support the numerical solutions, and discuss the growing capacity of CFD in opening up new research areas. We suggest that CFD has not become a replacement for experiment and theoretical analysis in ventilation research, rather it has become an increasingly important partner. We believe that an effective scientific approach for ventilation studies is still to combine experiments, theory, and CFD. We argue that CFD verification and validation are becoming more crucial than ever as more complex ventilation problems are solved. It is anticipated that ventilation problems at the city scale will be tackled by CFD in the next 10 years. © 2011 John Wiley & Sons A/S.

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

Yuan, Chris, E-mail: cyuan@uwm.edu; Wang, Endong; Zhai, Qiang

Temporal homogeneity of inventory data is one of the major problems in life cycle assessment (LCA). Addressing temporal homogeneity of life cycle inventory data is important in reducing the uncertainties and improving the reliability of LCA results. This paper attempts to present a critical review and discussion on the fundamental issues of temporal homogeneity in conventional LCA and propose a theoretical framework for temporal discounting in LCA. Theoretical perspectives for temporal discounting in life cycle inventory analysis are discussed first based on the key elements of a scientific mechanism for temporal discounting. Then generic procedures for performing temporal discounting inmore » LCA is derived and proposed based on the nature of the LCA method and the identified key elements of a scientific temporal discounting method. A five-step framework is proposed and reported in details based on the technical methods and procedures needed to perform a temporal discounting in life cycle inventory analysis. Challenges and possible solutions are also identified and discussed for the technical procedure and scientific accomplishment of each step within the framework. - Highlights: • A critical review for temporal homogeneity problem of life cycle inventory data • A theoretical framework for performing temporal discounting on inventory data • Methods provided to accomplish each step of the temporal discounting framework.« less

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.

Data Curation: Improving Environmental Health Data Quality.

PubMed

Yang, Lin; Li, Jiao; Hou, Li; Qian, Qing

2015-01-01

With the growing recognition of the influence of climate change on human health, scientists' attention to analyzing the relationship between meteorological factors and adverse health effects. However, the paucity of high quality integrated data is one of the great challenges, especially when scientific studies rely on data-intensive computing. This paper aims to design an appropriate curation process to address this problem. We present a data curation workflow that: (i) follows the guidance of DCC Curation Lifecycle Model; (ii) combines manual curation with automatic curation; (iii) and solves environmental health data curation problem. The workflow was applied to a medical knowledge service system and showed that it was capable of improving work efficiency and data quality.

Biomedical ontologies: toward scientific debate.

PubMed

Maojo, V; Crespo, J; García-Remesal, M; de la Iglesia, D; Perez-Rey, D; Kulikowski, C

2011-01-01

Biomedical ontologies have been very successful in structuring knowledge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed. We aim to stimulate further discussion on the advantages and challenges presented by biomedical ontologies from a scientific perspective. We review various aspects of biomedical ontologies going beyond their practical successes, and focus on some key scientific questions in two ways. First, we analyze and discuss current approaches to improve biomedical ontologies that are based largely on classical, Aristotelian ontological models of reality. Second, we raise various open questions about biomedical ontologies that require further research, analyzing in more detail those related to visual reasoning and spatial ontologies. We outline significant scientific issues that biomedical ontologies should consider, beyond current efforts of building practical consensus between them. For spatial ontologies, we suggest an approach for building "morphospatial" taxonomies, as an example that could stimulate research on fundamental open issues for biomedical ontologies. Analysis of a large number of problems with biomedical ontologies suggests that the field is very much open to alternative interpretations of current work, and in need of scientific debate and discussion that can lead to new ideas and research directions.

Strengthening International Collaboration: Geosciences Research and Education in Developing Countries

NASA Astrophysics Data System (ADS)

Fucugauchi, J. U.

2009-05-01

Geophysical research increasingly requires global multidisciplinary approaches and global integration. Global warming, increasing CO2 levels and increased needs of mineral and energy resources emphasize impact of human activities. The planetary view of our Earth as a deeply complex interconnected system also emphasizes the need of international scientific cooperation. International collaboration presents an immense potential and is urgently needed for further development of geosciences research and education. In analyzing international collaboration a relevant aspect is the role of scientific societies. Societies organize meetings, publish journals and books and promote cooperation through academic exchange activities and can further assist communities in developing countries providing and facilitating access to scientific literature, attendance to international meetings, short and long-term stays and student and young researcher mobility. Developing countries present additional challenges resulting from limited economic resources and social and political problems. Most countries urgently require improved educational and research programs. Needed are in-depth analyses of infrastructure and human resources and identification of major problems and needs. Questions may include what are the major limitations and needs in research and postgraduate education in developing countries? what and how should international collaboration do? and what are the roles of individuals, academic institutions, funding agencies, scientific societies? Here we attempt to examine some of these questions with reference to case examples and AGU role. We focus on current situation, size and characteristics of research community, education programs, facilities, economic support, and then move to perspectives for potential development in an international context.

Discovery and development of new antibacterial drugs: learning from experience?

PubMed

Jackson, Nicole; Czaplewski, Lloyd; Piddock, Laura J V

2018-06-01

Antibiotic (antibacterial) resistance is a serious global problem and the need for new treatments is urgent. The current antibiotic discovery model is not delivering new agents at a rate that is sufficient to combat present levels of antibiotic resistance. This has led to fears of the arrival of a 'post-antibiotic era'. Scientific difficulties, an unfavourable regulatory climate, multiple company mergers and the low financial returns associated with antibiotic drug development have led to the withdrawal of many pharmaceutical companies from the field. The regulatory climate has now begun to improve, but major scientific hurdles still impede the discovery and development of novel antibacterial agents. To facilitate discovery activities there must be increased understanding of the scientific problems experienced by pharmaceutical companies. This must be coupled with addressing the current antibiotic resistance crisis so that compounds and ultimately drugs are delivered to treat the most urgent clinical challenges. By understanding the causes of the failures and successes of the pharmaceutical industry's research history, duplication of discovery programmes will be reduced, increasing the productivity of the antibiotic drug discovery pipeline by academia and small companies. The most important scientific issues to address are getting molecules into the Gram-negative bacterial cell and avoiding their efflux. Hence screening programmes should focus their efforts on whole bacterial cells rather than cell-free systems. Despite falling out of favour with pharmaceutical companies, natural product research still holds promise for providing new molecules as a basis for discovery.

Wyoming Landscape Conservation Initiative—A case study in partnership development

USGS Publications Warehouse

D'Erchia, Frank

2016-10-21

The Wyoming Landscape Conservation Initiative (WLCI) is a successful example of collaboration between science and natural resource management at the landscape scale. In southwestern Wyoming, expanding energy and mineral development, urban growth, and other changes in land use over recent decades, combined with landscape-scale drivers such as climate change and invasive species, have presented compelling challenges to resource managers and a diverse group of Federal, State, industry, and non-governmental organizations, as well as citizen stakeholders. To address these challenges, the WLCI was established as a collaborative forum and interagency partnership to develop and implement science-based conservation actions. About a decade after being established, this report documents the establishment and history of the WLCI, focusing on the path to success of the initiative and providing insights and details that may be useful in developing similar partnerships in other locations. Not merely retrospective, the elements of the WLCI that are presented herein are still in play, still evolving, and still contributing to the resolution of compelling conservation challenges in the Western United States.The U.S. Geological Survey has developed many successful longstanding partnerships, of which the WLCI is one example.“As the Nation’s largest water, earth, and biological science and civilian mapping agency, the U.S. Geological Survey collects, monitors, analyzes, and provides scientific understanding about natural resource conditions, issues, and problems. The diversity of our scientific expertise enables us to carry out large-scale, multi-disciplinary investigations and provide impartial scientific information to resource managers, planners, and other customers” (U.S. Geological Survey, 2016).

Direct to consumer genetic testing-law and policy concerns in Ireland.

PubMed

de Paor, Aisling

2017-11-25

With rapid scientific and technological advances, the past few years has witnessed the emergence of a new genetic era and a growing understanding of the genetic make-up of human beings. These advances have propelled the introduction of companies offering direct to consumer (DTC) genetic testing, which facilitates the direct provision of such tests to consumers, (for example, via the internet). Although DTC genetic testing offers benefits by enhancing consumer accessibility to such technology, promoting proactive healthcare and increasing genetic awareness, it presents a myriad of challenges, from an ethical, legal and regulatory perspective. As DTC genetic testing usually eliminates the need for a medical professional in accessing genetic tests, this lack of professional guidance and counselling may result in misinterpretation and confusion regarding results. In addition, an evident concern relates to the scientific validity and quality of these tests. A further problem arising is the lack or inadequacy of regulation in this field. Despite the increasing accessibility of DTC genetic testing, this legislative vacuum is apparent in Ireland, where there is no concrete legislation. This article explores the main ethical, legal and regulatory issues arising with the advent of rapid advances in DTC genetic testing in Ireland. Further, with inevitable future advances in genetic science, as well as increasing internet accessibility, the challenges presented are likely to become more amplified. In consideration of the ethical and legal challenges, this paper highlights the regulation of DTC genetic testing as a growing concern in Ireland, recognising its importance to both the scientific community as well as in respect of enhancing consumer confidence in such technologies.

Communicating Climate Change Science: Conundrum Or Creative Challenge?

NASA Astrophysics Data System (ADS)

Casey, A. G.; Webster, K.; Unger, H. M.

2004-12-01

"Climate change" may seem like a mild or politically motivated name for what most lay people know as "global warming." But the term is correct for what is happening to our planet, and it is an issue that scientific research organizations must address. Regardless of whether public outreach is part of an organization's mission, getting data to the scientific community usually is. Scientists are being asked the questions "Is global warming real? Is it just a scare tactic by environmentalists? What does it have to do with me?" So all research organizations must step up to help answer these questions. As National Geographic has done so well in its September 2004 issue "Global Warning," science outreach must not be afraid to deliver clear information and let the reader decide. Readers from any educational background can be made aware of the fact that many climate indicators are changing, even things in their own regions. One of the challenges is the sheer amount of information available. A creative way to address this problem is to present material that relates to peoples' local regions. Another challenge is that providing this alarming information can scare people. One way to deal with this issue is to present ways that people can participate in slowing the human impact on our planet.

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.

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.

PubMed

Huang, Xiuzhen; Jennings, Steven F; Bruce, Barry; Buchan, Alison; Cai, Liming; Chen, Pengyin; Cramer, Carole L; Guan, Weihua; Hilgert, Uwe Kk; Jiang, Hongmei; Li, Zenglu; McClure, Gail; McMullen, Donald F; Nanduri, Bindu; Perkins, Andy; Rekepalli, Bhanu; Salem, Saeed; Specker, Jennifer; Walker, Karl; Wunsch, Donald; Xiong, Donghai; Zhang, Shuzhong; Zhang, Yu; Zhao, Zhongming; Moore, Jason H

2015-01-01

Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your problems. While big data has had some outstanding successes, many are now beginning to see that it is not the Silver Bullet that it has been touted to be. Here our main concern is the overall impact of big data; the current manifestation of big data is constructing a Maginot Line in science in the 21st century. Big data is not "lots of data" as a phenomena anymore; The big data paradigm is putting the spirit of the Maginot Line into lots of data. Big data overall is disconnecting researchers and science challenges. We propose No-Boundary Thinking (NBT), applying no-boundary thinking in problem defining to address science challenges.

Structural health monitoring of cylindrical bodies under impulsive hydrodynamic loading by distributed FBG strain measurements

NASA Astrophysics Data System (ADS)

Fanelli, Pierluigi; Biscarini, Chiara; Jannelli, Elio; Ubertini, Filippo; Ubertini, Stefano

2017-02-01

Various mechanical, ocean, aerospace and civil engineering problems involve solid bodies impacting the water surface and often result in complex coupled dynamics, characterized by impulsive loading conditions, high amplitude vibrations and large local deformations. Monitoring in such problems for purposes such as remaining fatigue life estimation and real time damage detection is a technical and scientific challenge of primary concern in this context. Open issues include the need for developing distributed sensing systems able to operate at very high acquisition frequencies, to be utilized to study rapidly varying strain fields, with high resolution and very low noise, while scientific challenges mostly relate to the definition of appropriate signal processing and modeling tools enabling the extraction of useful information from distributed sensing signals. Building on previous work by some of the authors, we propose an enhanced method for real time deformed shape reconstruction using distributed FBG strain measurements in curved bodies subjected to impulsive loading and we establish a new framework for applying this method for structural health monitoring purposes, as the main focus of the work. Experiments are carried out on a cylinder impacting the water at various speeds, proving improved performance in displacement reconstruction of the enhanced method compared to its previous version. A numerical study is then carried out considering the same physical problem with different delamination damages affecting the body. The potential for detecting, localizing and quantifying this damage using the reconstruction algorithm is thoroughly investigated. Overall, the results presented in the paper show the potential of distributed FBG strain measurements for real time structural health monitoring of curved bodies under impulsive hydrodynamic loading, defining damage sensitive features in terms of strain or displacement reconstruction errors at selected locations along the structure.

Perspectives on Social Network Analysis for Observational Scientific Data

NASA Astrophysics Data System (ADS)

Singh, Lisa; Bienenstock, Elisa Jayne; Mann, Janet

This chapter is a conceptual look at data quality issues that arise during scientific observations and their impact on social network analysis. We provide examples of the many types of incompleteness, bias and uncertainty that impact the quality of social network data. Our approach is to leverage the insights and experience of observational behavioral scientists familiar with the challenges of making inference when data are not complete, and suggest avenues for extending these to relational data questions. The focus of our discussion is on network data collection using observational methods because they contain high dimensionality, incomplete data, varying degrees of observational certainty, and potential observer bias. However, the problems and recommendations identified here exist in many other domains, including online social networks, cell phone networks, covert networks, and disease transmission networks.

Women physicists in Russia: Problems and solutions at a time of fiscal crisis

NASA Astrophysics Data System (ADS)

Didenko, Nelli; Ermolaeva, Elena; Kunitsyna, Ekaterina; Kratasyuk, Valentina; Vitman, Renata

2013-03-01

Recently Russia has been affected by the global financial crisis, which has had both positive and negative effects on women physicists. The feminization of science and the stratification that characterize the Russian scientific community in general also affect the field of physics. This paper discusses the proportion of women in leadership and managerial positions in different areas of science and education and highlights the differences between women and men in their careers in physics and defense of their theses. Lomonosov Moscow State University is used to demonstrate the dynamics of gender in different academic positions. The professional activity of young women physicists is illustrated by their participation in all-Russian scientific forums, demonstrating their commitment to remain active in their careers despite the challenges of the current economic conditions.

Preparing future fisheries professionals to make good decisions

USGS Publications Warehouse

Colvin, Michael E.; Peterson, James T.

2017-01-01

Future fisheries professionals will face decision-making challenges in an increasingly complex field of fisheries management. Though fisheries students are well trained in the use of the scientific method to understand the natural world, they are rarely exposed to structured decision making (SDM) as part of an undergraduate or graduate education. Specifically, SDM encourages users (e.g., students, managers) to think critically and communicate the problem and then identify specific, measurable objectives as they relate to the problem. Next, users must think critically and creatively about management alternatives that can be used to meet the objectives—there must be more than one alternative or there is no decision to be made. Lastly, the management alternatives are evaluated with regard to how likely they are to succeed in terms of multiple, possibly completing, objectives, such as how stakeholder groups value outcomes of management actions versus monetary cost. We believe that exposure to SDM and its elements is an important part of preparing future fisheries professional to meet the challenges they may face. These challenges include reduced budgets, the growth of potentially competing natural resource interest groups, and stakeholder desire to be involved in management decisions affecting public trust resources, just to name a few.

Problems Encountered during the Scientific Research Process in Graduate Education: The Institute of Educational Sciences

ERIC Educational Resources Information Center

Akyürek, Erkan; Afacan, Özlem

2018-01-01

This study was conducted to determine the problems faced by graduate students when conducting scientific research and to make suggestions for solving these problems. The research model was a case study. Semi-structured interviews were conducted with participants in the study with questions about the problems encountered during scientific research…

Policy intervention for arsenic mitigation in drinking water in rural habitations in India: achievements and challenges.

PubMed

Shrivastava, Brajesh K

2016-10-01

This article provides updated status of the arsenic affected rural habitations in India, summarizes the policy initiatives of the Ministry of Drinking Water & Sanitation (Government of India), reviews the technologies for arsenic treatment and analyses the progress made by states in tackling arsenic problems in rural habitations. It also provides a list of constraints based on experiences and recommends suggested measures to tackle arsenic problems in an holistic manner. It is expected that the paper would be useful for policy formulators in states, non-government organizations, researchers of academic and scientific institutions and programme managers working in the area of arsenic mitigation in drinking water, especially in developing countries, as it provides better insights compared to other available information in India on mitigating arsenic problems in drinking water in rural areas.

Fielding a current idea: exploring the public health impact of electromagnetic radiation.

PubMed

Genuis, Stephen J

2008-02-01

Several publications in the scientific literature have raised concern about the individual and public health impact of adverse non-ionizing radiation (a-NIR) from electromagnetic field (EMF) exposure emanating from certain power, electrical and wireless devices commonly found in the home, workplace, school and community. Despite the many challenges in establishing irrefutable scientific proof of harm and the various gaps in elucidating the precise mechanisms of harm, epidemiological analyses continue to suggest considerable potential for injury and affliction as a result of a-NIR exposure. As environmental health has not been emphasized in medical education, some clinicians are not fully aware of possible EMF-related health problems and, as a result, manifestations of a-NIR may remain misdiagnosed and ineffectually managed. It is important for physicians and public health officials to be aware of the fundamental science and clinical implications of EMF exposure. A review of the scientific literature relating to the link between electromagnetic radiation and human health, several public health recommendations, and four case histories are presented for consideration.

Motivations of medical students towards psychiatry: a perspective from Turkey.

PubMed

Sakarya, Direnc; Camsari, Ulas Mehmet; Coskun, Bulent

2013-08-01

Recruitment in psychiatry has been an ongoing challenge worldwide; Turkey is no exception. In this article we have reviewed the issue from multiple aspects. Negative opinions on psychiatry among medical students have been associated with various matters, such as problems with scientific soundness, stigma, prestige and financial incentives. It has been reported that these negative opinions could be reversed by clinical exposure, improved knowledge base and increased affiliation with the field. Unfortunately, reversed attitudes do not have permanency. Considering that there has not been any study focusing on recruitment problems in Turkey, we attempted to provide a perspective by reporting the results of our study conducted with Turkish medical students. Attractive qualities of psychiatry were of particular interest. We found that brain research, neuroscience, philosophy, psychotherapy and academics are main areas of interest in psychiatry. We attempt to discuss our findings in view of current literature while noting current setbacks of psychiatry residency training in Turkey. We conclude that there exists a great need for working strategies in order to improve recruitment in psychiatry, addressing the stigma and correcting false beliefs such as treatment inefficacy or compromised scientific solidity.

Scientific progress despite irreproducibility: A seeming paradox

PubMed Central

Shiffrin, Richard M.; Stigler, Stephen M.

2018-01-01

It appears paradoxical that science is producing outstanding new results and theories at a rapid rate at the same time that researchers are identifying serious problems in the practice of science that cause many reports to be irreproducible and invalid. Certainly, the practice of science needs to be improved, and scientists are now pursuing this goal. However, in this perspective, we argue that this seeming paradox is not new, has always been part of the way science works, and likely will remain so. We first introduce the paradox. We then review a wide range of challenges that appear to make scientific success difficult. Next, we describe the factors that make science work—in the past, present, and presumably also in the future. We then suggest that remedies for the present practice of science need to be applied selectively so as not to slow progress and illustrate with a few examples. We conclude with arguments that communication of science needs to emphasize not just problems but the enormous successes and benefits that science has brought and is now bringing to all elements of modern society. PMID:29531095

Detecting Copy Move Forgery In Digital Images

NASA Astrophysics Data System (ADS)

Gupta, Ashima; Saxena, Nisheeth; Vasistha, S. K.

2012-03-01

In today's world several image manipulation software's are available. Manipulation of digital images has become a serious problem nowadays. There are many areas like medical imaging, digital forensics, journalism, scientific publications, etc, where image forgery can be done very easily. To determine whether a digital image is original or doctored is a big challenge. To find the marks of tampering in a digital image is a challenging task. The detection methods can be very useful in image forensics which can be used as a proof for the authenticity of a digital image. In this paper we propose the method to detect region duplication forgery by dividing the image into overlapping block and then perform searching to find out the duplicated region in the image.

We’re only in it for the knowledge? A problem solving turn in environment and health expert elicitation

PubMed Central

2012-01-01

Background The FP6 EU HENVINET project aimed at synthesizing the scientific information available on a number of topics of high relevance to policy makers in environment and health. The goal of the current paper is to reflect on the methodology that was used in the project, in view of exploring the usefulness of this and similar methodologies to the policy process. The topics investigated included health impacts of the brominated flame retardants decabrominated diphenylether (decaBDE) and hexabromocyclododecane (HBCD), phthalates highlighting di(2-ethylhexyl)phthalate (DEHP), the pesticide chlorpyrifos (CPF), nanoparticles, the impacts of climate change on asthma and other respiratory disorders, and the influence of environment health stressors on cancer induction. Methods Initially the focus was on identifying knowledge gaps in the state of the art in scientific knowledge. Literature reviews covered all elements that compose the causal chain of the different environmental health issues from emissions to exposures, to effects and to health impacts. Through expert elicitation, knowledge gaps were highlighted by assessing expert confidence using calibrated confidence scales. During this work a complementary focus to that on knowledge gaps was developed through interdisciplinary reflections. By extending the scope of the endeavour from only a scientific perspective, to also include the more problem solving oriented policy perspective, the question of which kind of policy action experts consider justifiable was addressed. This was addressed by means of a questionnaire. In an expert workshop the results of both questionnaires were discussed as a basis for policy briefs. Results The expert elicitation, the application of the calibrated confidence levels and the problem solving approach were all experienced as being quite challenging for the experts involved, as these approaches did not easily relate to mainstream environment and health scientific practices. Even so, most experts were quite positive about it. In particular, the opportunity to widen one’s own horizon and to interactively exchange knowledge and debate with a diversity of experts seemed to be well appreciated in this approach. Different parts of the approach also helped in focussing on specific relevant aspects of scientific knowledge, and as such can be considered of reflective value. Conclusions The approach developed by HENVINET was part of a practice of learning by doing and of interdisciplinary cooperation and negotiation. Ambitions were challenged by unforeseen complexities and difference of opinion and as no Holy Grail approach was at hand to copy or follow, it was quite an interesting but also complicated endeavour. Perfection, if this could be defined, seemed out of reach all the time. Nevertheless, many involved were quite positive about it. It seems that many felt that it fitted some important needs in current science when addressing the needs of policy making on such important issues, without anyone really having a clue on how to actually do this. Challenging questions remain on the quality of such approach and its product. Practice tells us that there probably is no best method and that the best we can do is dependent on contextual negotiation and learning from experiences that we think are relevant. PMID:22759503

Gynaecology - Quo vadis? Situation Analysis, National and International Perspectives.

PubMed

Brucker, S Y; Simoes, E; Wallwiener, D

2014-12-01

In a large and heavily networked specialty like gynaecology it is a particular challenge with regard to future status to achieve excellent patient care, research and teaching. At the same time not only hospitals but also research facilities are experiencing increasing pressure from performance and competition sides in terms of survival and further development on the clinical, scientific and economic fronts. The numerous changes, including paradigm shifts, in medicine, society, the health-care system and scientific innovations present new challenges to the specialty. This leads to questions about priority, problem areas and weaknesses as well as to new opportunities for the field and the overall question if it will be possible to meet the paradigm shifts and problems by the creation of new structures. In the light of the need for and the potential of design measures, this article presents a SWOT analysis of the specialty's situation as a whole and in particular for gynaecology in German universities. One sees additional demands that add up to an expansion of the tasks. At the same time the shortage of new recruits becomes apparent. A broadening of the perspectives on women's health and individualised medicine come into focus. Partial solutions include new supporting structures, capacity measurements as well as even structural options. In particular, the department structure, that is common abroad, opens an opportunity for specialisation while maintaining unity for a broader further training and strengthened research. Chances and strengths of the specialty are especially effective in coordinated and concerted activities.

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…

The Pitt Innovation Challenge (PInCh): Driving Innovation in Translational Research Through an Incentive-Based, Problem-Focused Competition

PubMed Central

Fitzpatrick, Nicole Edgar; Maier, John; Yasko, Laurel; Mathias, David; Qua, Kacy; Wagner, Erika; Miller, Elizabeth; Reis, Steven E.

2017-01-01

Problem Translational research aims to move scientific discoveries across the biomedical spectrum from the laboratory to humans, and to ultimately transform clinical practice and public health policies. Despite efforts to accelerate translational research through national initiatives, several major hurdles remain. Approach The authors created the Pitt Innovation Challenge (PInCh) as an incentive-based, problem-focused approach to solving identified clinical or public health problems at the University of Pittsburgh Clinical and Translational Science Institute in spring 2014. With input from a broad range of stakeholders, PInCh leadership arrived at the challenge question: How do we empower individuals to take control of their own health outcomes? The authors developed the PInCh’s three-round proposal submission and review process as well as an online contest management tool to support the process. Outcomes Ninety-two teams submitted videos proposals in round one. Proposals included mobile applications (29, 32%), other information technology (19, 21%), and community program (22, 24%) solutions. Ten teams advanced to the final round, where three were awarded $100,000 to implement their solution over twelve months. In a six-month follow-up survey, 6/11 (55%) team leaders stated the PInCh helped to facilitate connections outside their normal sphere of collaborators. Next Steps Additional educational training sessions related to problem-focused research will be developed. The PInCh will be expanded to engage investment and industry communities to facilitate the translation of solutions to clinical practice via commercialization pathways. External organizations and other universities will be engaged to use the PInCh as a mechanism to fuel innovation in their spaces. PMID:27508341

Increasing Diversity in the Sciences: a Partial Solution to the Challenge and the Benefits it Produces

NASA Astrophysics Data System (ADS)

Givan, A. V.

2009-12-01

Science is supposed to be about talent devoid of the bias’ and judgments generated by background, gender, ethnicity or any culturally determined discriminators. The scientific, academic, corporate and government communities have a vested interest in developing models, practices and policies that significantly increase the number of U.S. graduates in scientific disciplines. Additionally, it is crucial that these graduates possess the essential competencies and creative problem solving skills to compete in the current global economy. The stakeholders (corporations, researchers, educational practitioners, policymakers and funders) who have the common goal of producing highly qualified scientists must commit to collaborate in developing innovative strategies and solutions to this complex challenge. Volumes of research data from a variety of sources such the social and cognitive sciences, educational psychology, National Science Foundation and non-profit groups have been and are available for use enabling us to rise to the challenge we have been charged with, and are responsible for the outcome. A proposed solution to part of the challenge and discussion of the impacts of increasing diversity in science will be discussed in this paper. The paper will address one element of the issue - strategies for the recruitment and retention of under-represented groups in science focusing on the historical and current culture, climate and barriers encountered by minorities as they progress through the educational system and career pathways. The paper will examine the benefits of diversity to the individual and society as a whole.

Time for a change: addressing R&D and commercialization challenges for antibacterials.

PubMed

Payne, David J; Miller, Linda Federici; Findlay, David; Anderson, James; Marks, Lynn

2015-06-05

The antibacterial therapeutic area has been described as the perfect storm. Resistance is increasing to the point that our hospitals encounter patients infected with untreatable pathogens, the overall industry pipeline is described as dry and most multinational pharmaceutical companies have withdrawn from the area. Major contributing factors to the declining antibacterial industry pipeline include scientific challenges, clinical/regulatory hurdles and low return on investment. This paper examines these challenges and proposes approaches to address them. There is a need for a broader scientific agenda to explore new approaches to discover and develop antibacterial agents. Additionally, ideas of how industry and academia could be better integrated will be presented. While promising progress in the regulatory environment has been made, more streamlined regulatory paths are still required and the solutions will lie in global harmonization and clearly defined guidance. Creating the right incentives for antibacterial research and development is critical and a new commercial model for antibacterial agents will be proposed. One key solution to help resolve both the problem of antimicrobial resistance (AMR) and lack of new drug development are rapid, cost-effective, accurate point of care diagnostics that will transform antibacterial prescribing and enable more cost-effective and efficient antibacterial clinical trials. The challenges of AMR are too great for any one group to resolve and success will require leadership and partnerships among academia, industry and governments globally. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

A proposed reductionist solution to address the methodological challenges of inconsistent reflexology maps and poor experimental controls in reflexology research: a discussion paper.

PubMed

Jones, Jenny; Thomson, Patricia; Lauder, William; Leslie, Stephen J

2013-03-01

Reflexology is a complex massage intervention, based on the concept that specific areas of the feet (reflex points) correspond to individual internal organs within the body. Reflexologists trained in the popular Ingham reflexology method claim that massage to these points, using massage techniques unique to reflexology, stimulates an increase in blood supply to the corresponding organ. Reflexology researchers face two key methodological challenges that need to be addressed if a specific treatment-related hemodynamic effect is to be scientifically demonstrated. The first is the problem of inconsistent reflexology foot maps; the second is the issue of poor experimental controls. This article proposes a potential experimental solution that we believe can address both methodological challenges and in doing so, allow any specific hemodynamic treatment effect unique to reflexology to experimentally reveal itself.

Crowdsourcing in biomedicine: challenges and opportunities

PubMed Central

Khare, Ritu; Good, Benjamin M.; Leaman, Robert; Su, Andrew I.

2016-01-01

The use of crowdsourcing to solve important but complex problems in biomedical and clinical sciences is growing and encompasses a wide variety of approaches. The crowd is diverse and includes online marketplace workers, health information seekers, science enthusiasts and domain experts. In this article, we review and highlight recent studies that use crowdsourcing to advance biomedicine. We classify these studies into two broad categories: (i) mining big data generated from a crowd (e.g. search logs) and (ii) active crowdsourcing via specific technical platforms, e.g. labor markets, wikis, scientific games and community challenges. Through describing each study in detail, we demonstrate the applicability of different methods in a variety of domains in biomedical research, including genomics, biocuration and clinical research. Furthermore, we discuss and highlight the strengths and limitations of different crowdsourcing platforms. Finally, we identify important emerging trends, opportunities and remaining challenges for future crowdsourcing research in biomedicine. PMID:25888696

Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications

PubMed Central

2014-01-01

Background Scientific publications are documentary representations of defeasible arguments, supported by data and repeatable methods. They are the essential mediating artifacts in the ecosystem of scientific communications. The institutional “goal” of science is publishing results. The linear document publication format, dating from 1665, has survived transition to the Web. Intractable publication volumes; the difficulty of verifying evidence; and observed problems in evidence and citation chains suggest a need for a web-friendly and machine-tractable model of scientific publications. This model should support: digital summarization, evidence examination, challenge, verification and remix, and incremental adoption. Such a model must be capable of expressing a broad spectrum of representational complexity, ranging from minimal to maximal forms. Results The micropublications semantic model of scientific argument and evidence provides these features. Micropublications support natural language statements; data; methods and materials specifications; discussion and commentary; challenge and disagreement; as well as allowing many kinds of statement formalization. The minimal form of a micropublication is a statement with its attribution. The maximal form is a statement with its complete supporting argument, consisting of all relevant evidence, interpretations, discussion and challenges brought forward in support of or opposition to it. Micropublications may be formalized and serialized in multiple ways, including in RDF. They may be added to publications as stand-off metadata. An OWL 2 vocabulary for micropublications is available at http://purl.org/mp. A discussion of this vocabulary along with RDF examples from the case studies, appears as OWL Vocabulary and RDF Examples in Additional file 1. Conclusion Micropublications, because they model evidence and allow qualified, nuanced assertions, can play essential roles in the scientific communications ecosystem in places where simpler, formalized and purely statement-based models, such as the nanopublications model, will not be sufficient. At the same time they will add significant value to, and are intentionally compatible with, statement-based formalizations. We suggest that micropublications, generated by useful software tools supporting such activities as writing, editing, reviewing, and discussion, will be of great value in improving the quality and tractability of biomedical communications. PMID:26261718

Using Primary Literature for Teaching Undergraduate Planetary Sciences

NASA Astrophysics Data System (ADS)

Levine, J.

2013-05-01

Articles from the primary scientific literature can be a valuable teaching tool in undergraduate classrooms. At Colgate University, I emphasize selected research articles in an upper-level undergraduate course in planetary sciences. In addition to their value for conveying specific scientific content, I find that they also impart larger lessons which are especially apt in planetary sciences and allied fields. First, because of the interdisciplinary nature of planetary sciences, students discover that contributions to outstanding problems may arrive from unexpected directions, so they need to be aware of the multi-faceted nature of scientific problems. For instance, after millennia of astrometric attempts, the scale of the Solar System was determined with extraordinary precision with emerging radar technology in the 1960's. Second, students learn the importance of careful work, with due attention to detail. After all, the timescales of planetary formation are encoded in systematic isotopic variations of a few parts in 10,000; in students' own experiences with laboratory data they might well overlook such a small effect. Third, students identify the often-tortuous connections between measured and inferred quantities, which corrects a common student misconception that all quantities of interest (e.g., the age of a meteorite) can be measured directly. Fourth, research articles provide opportunities for students to practice the interpretation of graphical data, since figures often represent a large volume of data in succinct form. Fifth, and perhaps of greatest importance, by considering the uncertainties inherent in reported data, students come to recognize the limits of scientific understanding, the extent to which scientific conclusions are justified (or not), and the lengths to which working scientists go to mitigate their uncertainties. These larger lessons are best mediated by students' own encounters with the articles they read, but require instructors to make careful choices of articles. Although research articles from any field can be challenging for students because they are usually written for a specialist audience, planetary science literature is especially difficult because students seldom have background in all of the disciplines represented in the field. An additional pedagogical challenge is demonstrating to the students the transferability of the skills they are learning from reading and analyzing the articles. My presentation will include examples of how I use research articles in class, homework assignments I have crafted to reinforce the five points above, and indicators of student achievement.

Computational Challenges in the Analysis of Petrophysics Using Microtomography and Upscaling

NASA Astrophysics Data System (ADS)

Liu, J.; Pereira, G.; Freij-Ayoub, R.; Regenauer-Lieb, K.

2014-12-01

Microtomography provides detailed 3D internal structures of rocks in micro- to tens of nano-meter resolution and is quickly turning into a new technology for studying petrophysical properties of materials. An important step is the upscaling of these properties as micron or sub-micron resolution can only be done on the sample-scale of millimeters or even less than a millimeter. We present here a recently developed computational workflow for the analysis of microstructures including the upscaling of material properties. Computations of properties are first performed using conventional material science simulations at micro to nano-scale. The subsequent upscaling of these properties is done by a novel renormalization procedure based on percolation theory. We have tested the workflow using different rock samples, biological and food science materials. We have also applied the technique on high-resolution time-lapse synchrotron CT scans. In this contribution we focus on the computational challenges that arise from the big data problem of analyzing petrophysical properties and its subsequent upscaling. We discuss the following challenges: 1) Characterization of microtomography for extremely large data sets - our current capability. 2) Computational fluid dynamics simulations at pore-scale for permeability estimation - methods, computing cost and accuracy. 3) Solid mechanical computations at pore-scale for estimating elasto-plastic properties - computational stability, cost, and efficiency. 4) Extracting critical exponents from derivative models for scaling laws - models, finite element meshing, and accuracy. Significant progress in each of these challenges is necessary to transform microtomography from the current research problem into a robust computational big data tool for multi-scale scientific and engineering problems.

Social and ethical dimension of the natural sciences, complex problems of the age, interdisciplinarity, and the contribution of education

NASA Astrophysics Data System (ADS)

Develaki, Maria

2008-09-01

In view of the complex problems of this age, the question of the socio-ethical dimension of science acquires particular importance. We approach this matter from a philosophical and sociological standpoint, looking at such focal concerns as the motivation, purposes and methods of scientific activity, the ambivalence of scientific research and the concomitant risks, and the conflict between research freedom and external socio-political intervention. We then point out the impediments to the effectiveness of cross-disciplinary or broader meetings for addressing these complex problems and managing the associated risks, given the difficulty in communication between experts in different fields and non-experts, difficulties that education is challenged to help resolve. We find that the social necessity of informed decision-making on the basis of cross-disciplinary collaboration is reflected in the newer curricula, such as that of Greece, in aims like the acquisition of cross-subject knowledge and skills, and the ability to make decisions on controversial issues involving value conflicts. The interest and the reflections of the science education community in these matters increase its—traditionally limited—contribution to the theoretical debate on education and, by extension, the value of science education in the education system.

From environmental to ecological ethics: toward a practical ethics for ecologists and conservationists.

PubMed

Minteer, Ben A; Collins, James P

2008-12-01

Ecological research and conservation practice frequently raise difficult and varied ethical questions for scientific investigators and managers, including duties to public welfare, nonhuman individuals (i.e., animals and plants), populations, and ecosystems. The field of environmental ethics has contributed much to the understanding of general duties and values to nature, but it has not developed the resources to address the diverse and often unique practical concerns of ecological researchers and managers in the field, lab, and conservation facility. The emerging field of "ecological ethics" is a practical or scientific ethics that offers a superior approach to the ethical dilemmas of the ecologist and conservation manager. Even though ecological ethics necessarily draws from the principles and commitments of mainstream environmental ethics, it is normatively pluralistic, including as well the frameworks of animal, research, and professional ethics. It is also methodologically pragmatic, focused on the practical problems of researchers and managers and informed by these problems in turn. The ecological ethics model offers environmental scientists and practitioners a useful analytical tool for identifying, clarifying, and harmonizing values and positions in challenging ecological research and management situations. Just as bioethics provides a critical intellectual and problem-solving service to the biomedical community, ecological ethics can help inform and improve ethical decision making in the ecology and conservation communities.

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.

The Pitt Innovation Challenge (PInCh): Driving Innovation in Translational Research Through an Incentive-Based, Problem-Focused Competition.

PubMed

Fitzpatrick, Nicole Edgar; Maier, John; Yasko, Laurel; Mathias, David; Qua, Kacy; Wagner, Erika; Miller, Elizabeth; Reis, Steven E

2017-05-01

Translational research aims to move scientific discoveries across the biomedical spectrum from the laboratory to humans, and to ultimately transform clinical practice and public health policies. Despite efforts to accelerate translational research through national initiatives, several major hurdles remain. The authors created the Pitt Innovation Challenge (PInCh) as an incentive-based, problem-focused approach to solving identified clinical or public health problems at the University of Pittsburgh Clinical and Translational Science Institute in spring 2014. With input from a broad range of stakeholders, PInCh leadership arrived at the challenge question: How do we empower individuals to take control of their own health outcomes? The authors developed the PInCh's three-round proposal submission and review process as well as an online contest management tool to support the process. Ninety-two teams submitted video proposals in round one. Proposals included mobile applications (29; 32%), other information technology (19; 21%), and community program (22; 24%) solutions. Ten teams advanced to the final round, where three were awarded $100,000 to implement their solution over 12 months. In a 6-month follow-up survey, 6/11 (55%) team leaders stated the PInCh helped to facilitate connections outside their normal sphere of collaborators. Additional educational training sessions related to problem-focused research will be developed. The PInCh will be expanded to engage investment and industry communities to facilitate the translation of solutions to clinical practice via commercialization pathways. External organizations and other universities will be engaged to use the PInCh as a mechanism to fuel innovation in their spaces.

Computational intelligence approaches for pattern discovery in biological systems.

PubMed

Fogel, Gary B

2008-07-01

Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) approaches such as artificial neural networks, fuzzy systems and evolutionary computation are being used with increasing frequency to contend with this problem, in light of noise, non-linearity and temporal dynamics in the data. Such methods can be used to develop robust models of processes either on their own or in combination with standard statistical approaches. This is especially true for database mining, where modeling is a key component of scientific understanding. This review provides an introduction to current CI methods, their application to biological problems, and concludes with a commentary about the anticipated impact of these approaches in bioinformatics.

Risk factors associated with challenging behaviour in people with profound intellectual and multiple disabilities.

PubMed

Poppes, P; van der Putten, A J J; Post, W J; Vlaskamp, C

2016-06-01

Several factors that correlate with the onset or continuation of challenging behaviour are mentioned in research. These are factors related to persons with ID, but also to direct support professionals and the context. Although many of these factors seem to affect the onset or continuation of challenging behaviour in people with ID in general, results are often inconclusive and have little focus on people with profound intellectual and multiple disabilities (PIMD). The present study aimed to assess the extent to which known factors related to challenging behaviour are also applicable to a group of 198 people with PIMD. To determine which factors were associated with challenging behaviour, univariate analyses on associations between known risk factors and challenging behaviour were conducted. The associated factors were then subject to a regression analysis to determine the extent to which they explain the prevalence of challenging behaviour and can thus be seen as factors associated with challenging behaviour. The results show that, in particular, factors concerning the personal characteristics of people with PIMD, such as sleeping problems and auditory problems, were related to the variance in mean frequency of challenging behaviour. Only one factor related to the direct support professionals was found: when these professionals had been offered training on the subject of challenging behaviour in people with intellectual disabilities in general, they identified significantly more withdrawn behaviour. We found no contextual factors related to challenging behaviour. These findings are generally consistent with findings reported in other studies, especially concerning the personal characteristics of people with PIMD. Further research should focus on the effects of providing safe auditory environments and appropriate sleep schedules for people with PIMD on the occurrence of challenging behaviour. © 2016 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

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.

Enabling the Use of Authentic Scientific Data in the Classroom--Lessons Learned from the AccessData and Data Services Workshops

NASA Astrophysics Data System (ADS)

Lynds, S. E.; Buhr, S. M.; Ledley, T. S.

2007-12-01

Enabling the Use of Authentic Scientific Data in the Classroom--Lessons Learned from the AccessData and Data Services Workshops Since 2004, the annual AccessData and DLESE Data Services workshops have gathered scientists, data managers, technology specialists, teachers, and curriculum developers to work together creating classroom- ready scientific data modules. Teams of five (one participant from each of the five professions) develop topic- specific online educational units of the Earth Exploration Toolbook (serc.carleton.edu/eet/). Educators from middle schools through undergraduate colleges have been represented, as have scientific data professionals from many organizations across the United States. Extensive evaluation has been included in the design of each workshop. The evaluation results have been used each year to improve subsequent workshops. In addition to refining the format and process of the workshop itself, evaluation data collected reveal attendees' experiences using scientific data for educational purposes. Workshop attendees greatly value the opportunity to network with those of other professional roles in developing a real-world education project using scientific data. Educators appreciate the opportunity to work directly with scientists and technology specialists, while researchers and those in technical fields value the classroom expertise of the educators. Attendees' data use experiences are explored every year. Although bandwidth and connectivity were problems for data use in 2004, that has become much less common over time. The most common barriers to data use cited now are discoverability, data format problems, incomplete data sets, and poor documentation. Most attendees agree that the most useful types of online documentation and user support for scientific data are step-by-step instructions, examples, tutorials, and reference manuals. Satellite imagery and weather data were the most commonly used types of data, and these were often modified for use in the classroom. This presentation will discuss supports and barriers to the use of scientific data in the classroom, as well as the benefits and challenges of using collaborations between technical and educational professionals to develop resources for the classroom.

Scientific Visualization & Modeling for Earth Systems Science Education

NASA Technical Reports Server (NTRS)

Chaudhury, S. Raj; Rodriguez, Waldo J.

2003-01-01

Providing research experiences for undergraduate students in Earth Systems Science (ESS) poses several challenges at smaller academic institutions that might lack dedicated resources for this area of study. This paper describes the development of an innovative model that involves students with majors in diverse scientific disciplines in authentic ESS research. In studying global climate change, experts typically use scientific visualization techniques applied to remote sensing data collected by satellites. In particular, many problems related to environmental phenomena can be quantitatively addressed by investigations based on datasets related to the scientific endeavours such as the Earth Radiation Budget Experiment (ERBE). Working with data products stored at NASA's Distributed Active Archive Centers, visualization software specifically designed for students and an advanced, immersive Virtual Reality (VR) environment, students engage in guided research projects during a structured 6-week summer program. Over the 5-year span, this program has afforded the opportunity for students majoring in biology, chemistry, mathematics, computer science, physics, engineering and science education to work collaboratively in teams on research projects that emphasize the use of scientific visualization in studying the environment. Recently, a hands-on component has been added through science student partnerships with school-teachers in data collection and reporting for the GLOBE Program (GLobal Observations to Benefit the Environment).

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.

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.

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.

Adults' representations of the Earth: implications for children's acquisition of scientific concepts.

PubMed

Nobes, Gavin; Panagiotaki, Georgia

2007-11-01

When children are asked to draw the Earth they often produce intriguing pictures in which, for example, people seem to be standing on a flat disc or inside a hollow sphere. These drawings, and children's answers to questions, have been interpreted as indicating that children construct naïve, theory-like mental models of the Earth (e.g. Vosniadou & Brewer, 1992). However, recent studies using different methods have found little or no evidence of these mental models, and report that many young children have some scientific knowledge of the Earth. To examine the reasons for these contrasting findings, adults (N=350) were given the drawing task previously given to 5-year-old children. Fewer than half of the adults' pictures were scientific, and 15% were identical to children's 'naïve' drawings. Up to half of the answers to questions (e.g. 'Where do people live?') were non-scientific. Open-ended questions and follow-up interviews revealed that non-scientific responses were given because adults found the apparently simple task confusing and challenging. Since children very probably find it even more difficult, these findings indicate that children's non-scientific responses, like adults', often result from methodological problems with the task. These results therefore explain the discrepant findings of previous research, and support the studies which indicate that children do not have naïve mental models of the Earth.

The synergistic use of computation, chemistry and biology to discover novel peptide-based drugs: the time is right.

PubMed

Audie, J; Boyd, C

2010-01-01

The case for peptide-based drugs is compelling. Due to their chemical, physical and conformational diversity, and relatively unproblematic toxicity and immunogenicity, peptides represent excellent starting material for drug discovery. Nature has solved many physiological and pharmacological problems through the use of peptides, polypeptides and proteins. If nature could solve such a diversity of challenging biological problems through the use of peptides, it seems reasonable to infer that human ingenuity will prove even more successful. And this, indeed, appears to be the case, as a number of scientific and methodological advances are making peptides and peptide-based compounds ever more promising pharmacological agents. Chief among these advances are powerful chemical and biological screening technologies for lead identification and optimization, methods for enhancing peptide in vivo stability, bioavailability and cell-permeability, and new delivery technologies. Other advances include the development and experimental validation of robust computational methods for peptide lead identification and optimization. Finally, scientific analysis, biology and chemistry indicate the prospect of designing relatively small peptides to therapeutically modulate so-called 'undruggable' protein-protein interactions. Taken together a clear picture is emerging: through the synergistic use of the scientific imagination and the computational, chemical and biological methods that are currently available, effective peptide therapeutics for novel targets can be designed that surpass even the proven peptidic designs of nature.

Establishing a reliable framework for harnessing the creative power of the scientific crowd.

PubMed

Carter, Adrian J; Donner, Amy; Lee, Wen Hwa; Bountra, Chas

2017-02-01

Discovering new medicines is difficult and increasingly expensive. The pharmaceutical industry has responded to this challenge by embracing open innovation to access external ideas. Historically, partnerships were usually bilateral, and the drug discovery process was shrouded in secrecy. This model is rapidly changing. With the advent of the Internet, drug discovery has become more decentralised, bottom-up, and scalable than ever before. The term open innovation is now accepted as just one of many terms that capture different but overlapping levels of openness in the drug discovery process. Many pharmaceutical companies recognise the advantages of revealing some proprietary information in the form of results, chemical tools, or unsolved problems in return for valuable insights and ideas. For example, such selective revealing can take the form of openly shared chemical tools to explore new biological mechanisms or by publicly admitting what is not known in the form of an open call. The essential ingredient for addressing these problems is access to the wider scientific crowd. The business of crowdsourcing, a form of outsourcing in which individuals or organisations solicit contributions from Internet users to obtain ideas or desired services, has grown significantly to fill this need and takes many forms today. Here, we posit that open-innovation approaches are more successful when they establish a reliable framework for converting creative ideas of the scientific crowd into practice with actionable plans.

Establishing a reliable framework for harnessing the creative power of the scientific crowd

PubMed Central

Donner, Amy; Lee, Wen Hwa; Bountra, Chas

2017-01-01

Discovering new medicines is difficult and increasingly expensive. The pharmaceutical industry has responded to this challenge by embracing open innovation to access external ideas. Historically, partnerships were usually bilateral, and the drug discovery process was shrouded in secrecy. This model is rapidly changing. With the advent of the Internet, drug discovery has become more decentralised, bottom-up, and scalable than ever before. The term open innovation is now accepted as just one of many terms that capture different but overlapping levels of openness in the drug discovery process. Many pharmaceutical companies recognise the advantages of revealing some proprietary information in the form of results, chemical tools, or unsolved problems in return for valuable insights and ideas. For example, such selective revealing can take the form of openly shared chemical tools to explore new biological mechanisms or by publicly admitting what is not known in the form of an open call. The essential ingredient for addressing these problems is access to the wider scientific crowd. The business of crowdsourcing, a form of outsourcing in which individuals or organisations solicit contributions from Internet users to obtain ideas or desired services, has grown significantly to fill this need and takes many forms today. Here, we posit that open-innovation approaches are more successful when they establish a reliable framework for converting creative ideas of the scientific crowd into practice with actionable plans. PMID:28199324

Data management and analysis for the Earth System Grid

NASA Astrophysics Data System (ADS)

Williams, D. N.; Ananthakrishnan, R.; Bernholdt, D. E.; Bharathi, S.; Brown, D.; Chen, M.; Chervenak, A. L.; Cinquini, L.; Drach, R.; Foster, I. T.; Fox, P.; Hankin, S.; Henson, V. E.; Jones, P.; Middleton, D. E.; Schwidder, J.; Schweitzer, R.; Schuler, R.; Shoshani, A.; Siebenlist, F.; Sim, A.; Strand, W. G.; Wilhelmi, N.; Su, M.

2008-07-01

The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. In order to address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.

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

Fostering successful scientific software communities

NASA Astrophysics Data System (ADS)

Bangerth, W.; Heister, T.; Hwang, L.; Kellogg, L. H.

2016-12-01

Developing sustainable open source software packages for the sciences appears at first to be primarily a technical challenge: How can one create stable and robust algorithms, appropriate software designs, sufficient documentation, quality assurance strategies such as continuous integration and test suites, or backward compatibility approaches that yield high-quality software usable not only by the authors, but also the broader community of scientists? However, our experience from almost two decades of leading the development of the deal.II software library (http://www.dealii.org, a widely-used finite element package) and the ASPECT code (http://aspect.dealii.org, used to simulate convection in the Earth's mantle) has taught us that technical aspects are not the most difficult ones in scientific open source software. Rather, it is the social challenge of building and maintaining a community of users and developers interested in answering questions on user forums, contributing code, and jointly finding solutions to common technical and non-technical challenges. These problems are posed in an environment where project leaders typically have no resources to reward the majority of contributors, where very few people are specifically paid for the work they do on the project, and with frequent turnover of contributors as project members rotate into and out of jobs. In particular, much software work is done by graduate students who may become fluent enough in a software only a year or two before they leave academia. We will discuss strategies we have found do and do not work in maintaining and growing communities around the scientific software projects we lead. Specifically, we will discuss the management style necessary to keep contributors engaged, ways to give credit where credit is due, and structuring documentation to decrease reliance on forums and thereby allow user communities to grow without straining those who answer questions.

Incidence of Data Duplications in a Randomly Selected Pool of Life Science Publications.

PubMed

Oksvold, Morten P

2016-04-01

Since the solution to many public health problems depends on research, it is critical for the progress and well-being for the patients that we can trust the scientific literature. Misconduct and poor laboratory practice in science threatens the scientific progress, leads to loss of productivity and increased healthcare costs, and endangers lives of patients. Data duplication may represent one of challenges related to these problems. In order to estimate the frequency of data duplication in life science literature, a systematic screen through 120 original scientific articles published in three different cancer related journals [journal impact factor (IF) <5, 5-10 and >20] was completed. The study revealed a surprisingly high proportion of articles containing data duplication. For the IF < 5 and IF > 20 journals, 25% of the articles were found to contain data duplications. The IF 5-10 journal showed a comparable proportion (22.5%). The proportion of articles containing duplicated data was comparable between the three journals and no significant correlation to journal IF was found. The editorial offices representing the journals included in this study and the individual authors of the detected articles were contacted to clarify the individual cases. The editorial offices did not reply and only 1 out of 29 cases were apparently clarified by the authors, although no supporting data was supplied. This study questions the reliability of life science literature, it illustrates that data duplications are widespread and independent of journal impact factor and call for a reform of the current peer review and retraction process of scientific publishing.

Role of Scientific Societies in International Collaboration

NASA Astrophysics Data System (ADS)

Fucugauchi, J. U.

2007-12-01

Geophysical research increasingly requires global multidisciplinary approaches. Understanding how deeply interrelated are Earth components and processes, population growth, increased needs of mineral and energy resources, global impact of human activities, and view of our planet as an interconnected system emphasizes the need of international cooperation. International research collaboration has an immense potential and is needed for further development of Earth science research and education. The Union Session is planned to provide a forum for analysis and discussion of the status of research and education of geosciences in developing countries, international collaboration programs and new initiatives for promoting and strengthening scientific cooperation. A theme of particular relevance in the analyses and discussions is the role of scientific societies in international collaboration. Societies organize meetings, publish journals and books and promote cooperation through academic exchange activities. They may further assist communities in developing countries in providing and facilitating access to scientific literature, attendance to international meetings, short and long-term stays and student and young researcher mobility. What else can be done? This is a complex subject and scientific societies may not be seen independently from the many factors involved in research and education. Developing countries present additional challenges resulting from limited economic resources and social and political problems, while urgently requiring improved educational and research programs. Needed are in-depth analyses of infrastructure and human resources, and identification of major problems and needs. What are the major limitations and needs in research and postgraduate education in developing countries? What and how should international collaboration do? What are the roles of individuals, academic institutions, funding agencies, scientific societies? Here we attempt to examine some of these questions from analyses and examples in Latin America. We concentrate on current situation, size and characteristics of research community, education programs, facilities, economic support, and bilateral and multinational collaborations, and then move to perspectives for future development in an international context.

Problem Based Learning and the scientific process

NASA Astrophysics Data System (ADS)

Schuchardt, Daniel Shaner

This research project was developed to inspire students to constructively use problem based learning and the scientific process to learn middle school science content. The student population in this study consisted of male and female seventh grade students. Students were presented with authentic problems that are connected to physical and chemical properties of matter. The intent of the study was to have students use the scientific process of looking at existing knowledge, generating learning issues or questions about the problems, and then developing a course of action to research and design experiments to model resolutions to the authentic problems. It was expected that students would improve their ability to actively engage with others in a problem solving process to achieve a deeper understanding of Michigan's 7th Grade Level Content Expectations, the Next Generation Science Standards, and a scientific process. Problem based learning was statistically effective in students' learning of the scientific process. Students statistically showed improvement on pre to posttest scores. The teaching method of Problem Based Learning was effective for seventh grade science students at Dowagiac Middle School.

The Dogma of "The" Scientific Method.

ERIC Educational Resources Information Center

Wivagg, Dan; Allchin, Douglas

2002-01-01

Points out major problems with the scientific method as a model for learning about methodology in science and suggests teaching about the scientists' toolbox to remedy problems with the conventional scientific method. (KHR)

"Stop, You’re Killing us!" An Alternative Take on Populism and Public Health

PubMed Central

Schrecker, Ted

2017-01-01

Ewen Speed and Russell Mannion correctly identify several contours of the challenges for health policy in what it is useful to think of as a post-democratic era. I argue that the problem for public health is not populism per se, but rather the distinctive populism of the right coupled with the failure of the left to develop compelling counternarratives. Further, defences of ‘science’ must be tempered by recognition of the unavoidably political dimensions of the (mis)use of scientific findings in public policy. PMID:29179294

Chasing nuclear rainbows

NASA Astrophysics Data System (ADS)

Allison, Wade

2010-01-01

Expeditions in search of a rainbow's end never reach their goal. Efforts to solve the problem of nuclear-waste disposal have not had much success either - perhaps because they have been addressing questions the wrong way round. There are two basic challenges of waste disposal. The first is scientific: the waste must be kept somewhere out of harm's way, where it does not incur major risks to current or future residents of the planet. The second is political: scientists must persuade and reassure the community as a whole that the waste is being handled, stored and disposed of safely.

Modeling Primary Atomization of Liquid Fuels using a Multiphase DNS/LES Approach

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

Arienti, Marco; Oefelein, Joe; Doisneau, Francois

2016-08-01

As part of a Laboratory Directed Research and Development project, we are developing a modeling-and-simulation capability to study fuel direct injection in automotive engines. Predicting mixing and combustion at realistic conditions remains a challenging objective of energy science. And it is a research priority in Sandia’s mission-critical area of energy security, being also relevant to many flows in defense and climate. High-performance computing applied to this non-linear multi-scale problem is key to engine calculations with increased scientific reliability.

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.

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.

The future of poultry science research: things I think I think.

PubMed

Taylor, R L

2009-06-01

Much poultry research progress has occurred over the first century of the Poultry Science Association. During that time, specific problems have been solved and much basic biological knowledge has been gained. Scientific discovery has exceeded its integration into foundation concepts. Researchers need to be involved in the public's development of critical thinking skills to enable discernment of fact versus fiction. Academic, government, and private institutions need to hire the best people. Issues of insufficient research funding will be remedied by a combination of strategies rather than by a single cure. Scientific advocacy for poultry-related issues is critical to success. Two other keys to the future are funding for higher-risk projects, whose outcome is truly unknown, and specific allocations for new investigators. Diligent, ongoing efforts by poultry scientists will enable progress beyond the challenges.

IOPS advisor: Research in progress on knowledge-intensive methods for irregular operations airline scheduling

NASA Technical Reports Server (NTRS)

Borse, John E.; Owens, Christopher C.

1992-01-01

Our research focuses on the problem of recovering from perturbations in large-scale schedules, specifically on the ability of a human-machine partnership to dynamically modify an airline schedule in response to unanticipated disruptions. This task is characterized by massive interdependencies and a large space of possible actions. Our approach is to apply the following: qualitative, knowledge-intensive techniques relying on a memory of stereotypical failures and appropriate recoveries; and quantitative techniques drawn from the Operations Research community's work on scheduling. Our main scientific challenge is to represent schedules, failures, and repairs so as to make both sets of techniques applicable to the same data. This paper outlines ongoing research in which we are cooperating with United Airlines to develop our understanding of the scientific issues underlying the practicalities of dynamic, real-time schedule repair.

Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?

USGS Publications Warehouse

Streit Krug, Aubrey; Uden, Daniel R.; Allen, Craig R.; Twidwell, Dirac

2017-01-01

The philosopher John Passmore distinguished between (1) “problems in ecology,” or what we might call problems in scientific understanding of ecological change, and (2) “ecological problems,” or what we might call problems faced by societies due to ecological change. The spread of eastern redcedar (Juniperus virginiana) and conversion of the central and southern Great Plains of North America to juniper woodland might be categorized as a problem in ecology, an ecological problem, or both. Here, we integrate and apply two interdisciplinary approaches to problem-solving—social-ecological systems thinking and ecocriticism—to understand the role of human culture in recognizing, driving, and responding to cedar’s changing geographic distribution. We interpret the spread of cedar as a process of culturally induced range infilling due to the ongoing social-ecological impacts of colonization, analyze poetic literary texts to clarify the concepts that have so far informed different cultural values related to cedar, and explore the usefulness of diverse interdisciplinary collaborations and knowledge for addressing social-ecological challenges like cedar spread in the midst of rapidly unfolding global change. Our examination suggests that it is not only possible, but preferable, to address cedar spread as both a scientific and a social problem. Great Plains landscapes are teetering between grassland and woodland, and contemporary human societies both influence and choose how to cope with transitions between these ecological states. We echo previous studies in suggesting that human cultural values about stability and disturbance, especially cultural concepts of fire, will be primary driving factors in determining future trajectories of change on the Great Plains. Although invasion-based descriptors of cedar spread may be useful in ecological research and management, language based on the value of restraint could provide a common vocabulary for effective cross-disciplinary and interdisciplinary communication about the relationship between culture and cedar, as well as an ethical framework for cross-cultural communication, decision-making, and management.

An evolving scientific basis for the prevention and treatment of pediatric obesity

PubMed Central

Katzmarzyk, PT; Barlow, S; Bouchard, C; Catalano, PM; Hsia, DS; Inge, TH; Lovelady, C; Raynor, H; Redman, LM; Staiano, AE; Spruijt-Metz, D; Symonds, ME; Vickers, M; Wilfley, D; Yanovski, JA

2014-01-01

The 2013 Pennington Biomedical Research Center’s Scientific Symposium focused on the treatment and management of pediatric obesity and was designed to (i) review recent scientific advances in the prevention, clinical treatment and management of pediatric obesity, (ii) integrate the latest published and unpublished findings and (iii) explore how these advances can be integrated into clinical and public health approaches. The symposium provided an overview of important new advances in the field, which led to several recommendations for incorporating the scientific evidence into practice. The science presented covered a range of topics related to pediatric obesity, including the role of genetic differences, epigenetic events influenced by in utero development, pre-pregnancy maternal obesity status, maternal nutrition and maternal weight gain on developmental programming of adiposity in offspring. Finally, the relative merits of a range of various behavioral approaches targeted at pediatric obesity were covered, together with the specific roles of pharmacotherapy and bariatric surgery in pediatric populations. In summary, pediatric obesity is a very challenging problem that is unprecedented in evolutionary terms; one which has the capacity to negate many of the health benefits that have contributed to the increased longevity observed in the developed world. PMID:24662696

An evolving scientific basis for the prevention and treatment of pediatric obesity.

PubMed

Katzmarzyk, P T; Barlow, S; Bouchard, C; Catalano, P M; Hsia, D S; Inge, T H; Lovelady, C; Raynor, H; Redman, L M; Staiano, A E; Spruijt-Metz, D; Symonds, M E; Vickers, M; Wilfley, D; Yanovski, J A

2014-07-01

The 2013 Pennington Biomedical Research Center's Scientific Symposium focused on the treatment and management of pediatric obesity and was designed to (i) review recent scientific advances in the prevention, clinical treatment and management of pediatric obesity, (ii) integrate the latest published and unpublished findings and (iii) explore how these advances can be integrated into clinical and public health approaches. The symposium provided an overview of important new advances in the field, which led to several recommendations for incorporating the scientific evidence into practice. The science presented covered a range of topics related to pediatric obesity, including the role of genetic differences, epigenetic events influenced by in utero development, pre-pregnancy maternal obesity status, maternal nutrition and maternal weight gain on developmental programming of adiposity in offspring. Finally, the relative merits of a range of various behavioral approaches targeted at pediatric obesity were covered, together with the specific roles of pharmacotherapy and bariatric surgery in pediatric populations. In summary, pediatric obesity is a very challenging problem that is unprecedented in evolutionary terms; one which has the capacity to negate many of the health benefits that have contributed to the increased longevity observed in the developed world.

The Prepared Mind.

PubMed

Garber, Susan L

Every day, in clinics and hospitals around the world, occupational therapists care for patients with serious problems requiring viable solutions. Each patient is unique, and his or her problem does not necessarily correspond to existing practice models. Practitioners must adapt standard approaches to provide effective outcomes, yet problems exist for which few or no beneficial approaches have been identified. Such clinical issues require solutions to be generated de novo from the practitioner's body of knowledge and past experience. Yet, no single new intervention can be used without prior validation of its efficacy. Only a therapist with a prepared mind can accept such challenges, recognize what is known and not yet known, design studies to acquire that needed knowledge, and translate it into successful clinical treatment strategies. The occupational therapist with a prepared mind is one willing to seize unexpected opportunities and construct new paradigms of practice. Innovation through scientific inquiry requires a prepared mind. Copyright © 2016 by the American Occupational Therapy Association, Inc.

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…

Building a Course on Global Sustainability using the grand challenges of Energy-Water-Climate

NASA Astrophysics Data System (ADS)

Myers, J. D.

2012-12-01

GEOL1600: Global Sustainability: Managing the Earth's Resources is a lower division integrated science course at the University of Wyoming that fulfills the university's science requirement. Course content and context has been developed using the grand challenge nexus of energy-water-and climate (EWC). The interconnection of these issues, their social relevance and timeliness has provided a framework that gives students an opportunity to recognize why STEM is relevant to their lives regardless of their ultimate professional career choices. The EWC nexus provides the filter to sieve the course's STEM content. It also provides an ideal mechanism by which the non-STEM perspectives important in grand challenge solutions can be seamlessly incorporated in the course. Through a combination of content and context, the relevance of these issues engage students in their own learning. Development of the course followed the Grand Challenge Scientific Literacy (GCSL) model independently developed by the author and two colleagues at the University of Wyoming. This course model stresses science principles centered on the nature of science (e.g., fundamental premises, habits of mind, critical thinking) and unifying scientific concepts (e.g., methods and tools, experimentation, modeling). Grand challenge principles identify the STEM and non-STEM concepts needed to understand the grand challenges, drawing on multiple STEM and non-STEM disciplines and subjects (i.e., economics, politics, unintended consequences, roles of stakeholders). Using the EWC nexus filter and building on the Grand Challenge Principles, specific content included in the course is selected is that most relevant to understanding the Grand Challenges, thereby stressing content depth over breadth. Because quantitative data and reasoning is critical to effectively evaluating challenge solutions, QR is a component of nearly all class activities, while engineering and technology aspects of grand challenges are explicitly stressed. Running concurrently through the course is a consideration of personal perspectives and their influence on student learning, particularly for controversial subjects. Organizationally, the course consists of three one hour lectures and a two hour lab each week. The lectures are used to introduce content and prepare the knowledge base students need for lab. Complementing traditional lectures are lecture worksheets (short activities applying topics previously presented in lecture) and lecture activities (more involved exercises that present a problem the students need to solve using previously learned scientific content and QR skills and tools). Labs focus on case studies set in global social contexts that are timely and relevant. Labs stress scientific skills (modeling groundwater flow) and also consider political and environmental issues, e.g. developing a policy to manage SO2 emissions from copper smelting. The ideas, concepts, educational materials and content developed in this course have been used as the basis for two Math Science Partnerships that have provided professional development for middle and high school science and math teachers and K-12 social, math and science teachers. These programs have worked with teachers to break down the barriers between disciplines and foster collaborative learning centered on socially relevant grand challenges.

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.

Searching for Authentic Context in Designing PISA-like Mathematics Problem: From Indoor to Outdoor Field Experience

NASA Astrophysics Data System (ADS)

Siswono, T. Y. E.; Kohar, A. W.; Rosyidi, A. H.; Hartono, S.; Masriyah

2018-01-01

Designing problem like in PISA is known as a challenging activity for teachers particularly as the use of authentic context within that type of problem. This paper aims to describe the experiences of secondary mathematics teachers in designing PISA-like problems within an innovative training program focusing on building teachers’ understanding on the concept of mathematical literacy. The teachers were engaged in a set of problem-solving and problem-posing activities using PISA-based problem within indoor and outdoor field experiences. Within indoor field experience, the teachers worked collaboratively in groups on designing PISA-like problems with a given context through problem generation and reformulation techniques. Within outdoor field experience, they worked on designing PISA-like problems with self-chosen context from the place where the outdoor field experience took place. Our analysis indicates that there were improvements on the PISA-like problems designed by teachers based on its level use of context from indoor to outdoor experience. Also, the teachers were relatively successful with creating appropriate and motivating contexts by harnessing a variety of context consisting of personal, occupational, societal, and scientific contexts. However, they still experienced difficulties in turning these contexts into an appropriate problem satisfying PISA framework such as regarding authenticity of context use, language structure, and PISA task profile.

Realizing Scientific Methods for Cyber Security

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

Carroll, Thomas E.; Manz, David O.; Edgar, Thomas W.

There is little doubt among cyber security researchers about the lack of scientic rigor that underlies much of the liter-ature. The issues are manifold and are well documented. Further complicating the problem is insufficient scientic methods to address these issues. Cyber security melds man and machine: we inherit the challenges of computer science, sociology, psychology, and many other elds and create new ones where these elds interface. In this paper we detail a partial list of challenges imposed by rigorous science and survey how other sciences have tackled them, in the hope of applying a similar approach to cyber securitymore » science. This paper is by no means comprehensive: its purpose is to foster discussion in the community on how we can improve rigor in cyber security science.« less

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.

UAS Applications for Hurricane Science, Hurrican and Severe Storm Sentinel (HS3)

NASA Technical Reports Server (NTRS)

Braun, Scott

2014-01-01

Earth Science Industry Update: UAS Applications for Hurricane Science Unmanned systems can significantly transform hurricane observations and monitoring, improving our knowledge about and ability to forecast storm formation, track, and intensity change. NASA's use of the Global Hawk has demonstrated the scientific value of this platform and provided a proof-of-concept for operational applications. However, science flight operations face several challenges and constraints. In this session, learn about how NASA adapted the Global Hawk to do science; How NASA conducts its hurricane missions, and some of the challenges and constraints they face; Science results from NASA's recent hurricane field campaigns using the Global Hawk. How assimilation of dropsonde and radar data into weather prediction models may improve forecast accuracy; Other Earth science problems that could be addressed with Global Hawks.

Curiosity and the end of discrimination

NASA Astrophysics Data System (ADS)

Prescod-Weinstein, Chanda

2017-06-01

Systemic discrimination on the basis of gender and race, among other ascribed identities, harms minoritized people. This is a structural problem in society, and astronomy is not immune to it. Although we talk about the challenges faced by 'women and minorities', it is all too rare to acknowledge intersecting realities: some of us are minority women and our experiences are different from both white women and minority men, with sexism and racism compounding in nonlinear ways. Confronting the challenges associated with invoking an intersectional analysis can be daunting if the mainstream community continues to ignore helpful work from the social sciences, which can teach us new ways of understanding how we produce scientific knowledge. Rather than failing to question how science is done, we should let curiosity be our guide.

Devious Lies: Adventures in Freelance Science Outreach

NASA Astrophysics Data System (ADS)

Fatland, D. R.

2003-12-01

Observations are given from two freelance science outreach projects undertaken by the author: Tutoring at-risk secondary students and teaching astronomy to 5th-7th graders in a camp retreat environment. Two recurring thematic challenges in these experiences are considered: First the 'Misperception Problem', the institutionalized chasm between the process of doing science and K-12 science education (wherein science is often portrayed as something distant and inaccessible, while ironically children are necessarily excellent scientists). And second the 'Engagement Problem', engaging a student's attention and energy by matching teaching material and--more importantly--teaching techniques to the student's state of development. The objective of this work is twofold: To learn how to address these two challenges and to empower the students in a manner independent of the scientific content of any particular subject. An underlying hypothesis is that confidence to problem solve (a desirable life-skill) can be made more accessible through a combination of problem solving by the student and seeing how others have solved seemingly impossible problems. This hypothesis (or agenda) compels an emphasis on critical thinking and raises the dilemma of reconciling non-directed teaching with very pointed conclusions about the verity of pseudo-science and ideas prevalent about science in popular culture. An interesting pedagogical found-object in this regard is the useful 'devious lie' which can encourage a student to question the assumption that the teacher (and by extension any professed expert) has the right answers.

Information from imagery: ISPRS scientific vision and research agenda

NASA Astrophysics Data System (ADS)

Chen, Jun; Dowman, Ian; Li, Songnian; Li, Zhilin; Madden, Marguerite; Mills, Jon; Paparoditis, Nicolas; Rottensteiner, Franz; Sester, Monika; Toth, Charles; Trinder, John; Heipke, Christian

2016-05-01

With the increased availability of very high-resolution satellite imagery, terrain based imaging and participatory sensing, inexpensive platforms, and advanced information and communication technologies, the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today. As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and utilising information from imagery since its foundation in the year 1910. This paper examines the significant challenges currently facing ISPRS and its communities, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving. The state-of-the-art in ISPRS related research and development is reviewed and the trends and topics for future work are identified. By providing an overarching scientific vision and research agenda, we hope to call on and mobilise all ISPRS scientists, practitioners and other stakeholders to continue improving our understanding and capacity on information from imagery and to deliver advanced geospatial knowledge that enables humankind to better deal with the challenges ahead, posed for example by global change, ubiquitous sensing, and a demand for real-time information generation.

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.

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.

Problem-based learning: effects on student’s scientific reasoning skills in science

NASA Astrophysics Data System (ADS)

Wulandari, F. E.; Shofiyah, N.

2018-04-01

This research aimed to develop instructional package of problem-based learning to enhance student’s scientific reasoning from concrete to formal reasoning skills level. The instructional package was developed using the Dick and Carey Model. Subject of this study was instructional package of problem-based learning which was consisting of lesson plan, handout, student’s worksheet, and scientific reasoning test. The instructional package was tried out on 4th semester science education students of Universitas Muhammadiyah Sidoarjo by using the one-group pre-test post-test design. The data of scientific reasoning skills was collected by making use of the test. The findings showed that the developed instructional package reflecting problem-based learning was feasible to be implemented in classroom. Furthermore, through applying the problem-based learning, students could dominate formal scientific reasoning skills in terms of functionality and proportional reasoning, control variables, and theoretical reasoning.

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.

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…

A Perspective on Coupled Multiscale Simulation and Validation in Nuclear Materials

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

M. P. Short; D. Gaston; C. R. Stanek

2014-01-01

The field of nuclear materials encompasses numerous opportunities to address and ultimately solve longstanding industrial problems by improving the fundamental understanding of materials through the integration of experiments with multiscale modeling and high-performance simulation. A particularly noteworthy example is an ongoing study of axial power distortions in a nuclear reactor induced by corrosion deposits, known as CRUD (Chalk River unidentified deposits). We describe how progress is being made toward achieving scientific advances and technological solutions on two fronts. Specifically, the study of thermal conductivity of CRUD phases has augmented missing data as well as revealed new mechanisms. Additionally, the developmentmore » of a multiscale simulation framework shows potential for the validation of a new capability to predict the power distribution of a reactor, in effect direct evidence of technological impact. The material- and system-level challenges identified in the study of CRUD are similar to other well-known vexing problems in nuclear materials, such as irradiation accelerated corrosion, stress corrosion cracking, and void swelling; they all involve connecting materials science fundamentals at the atomistic- and mesoscales to technology challenges at the macroscale.« less

The challenges of developing computational physics: the case of South Africa

NASA Astrophysics Data System (ADS)

Salagaram, T.; Chetty, N.

2013-08-01

Most modern scientific research problems are complex and interdisciplinary in nature. It is impossible to study such problems in detail without the use of computation in addition to theory and experiment. Although it is widely agreed that students should be introduced to computational methods at the undergraduate level, it remains a challenge to do this in a full traditional undergraduate curriculum. In this paper, we report on a survey that we conducted of undergraduate physics curricula in South Africa to determine the content and the approach taken in the teaching of computational physics. We also considered the pedagogy of computational physics at the postgraduate and research levels at various South African universities, research facilities and institutions. We conclude that the state of computational physics training in South Africa, especially at the undergraduate teaching level, is generally weak and needs to be given more attention at all universities. Failure to do so will impact negatively on the countrys capacity to grow its endeavours generally in the field of computational sciences, with negative impacts on research, and in commerce and industry.

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.

Mathematical Perspectives

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

Glimm, J.

2009-10-14

Progress for the past decade or so has been extraordinary. The solution of Fermat's Last Theorem [11] and of the Poincare Conjecture [1] have resolved two of the most outstanding challenges to mathematics. For both cases, deep and advanced theories and whole subfields of mathematics came into play and were developed further as part of the solutions. And still the future is wide open. Six of the original seven problems from the Clay Foundation challenge remain open, the 23 DARPA challenge problems are open. Entire new branches of mathematics have been developed, including financial mathematics and the connection between geometrymore » and string theory, proposed to solve the problems of quantized gravity. New solutions of the Einstein equations, inspired by shock wave theory, suggest a cosmology model which fits accelerating expansion of the universe possibly eliminating assumptions of 'dark matter'. Intellectual challenges and opportunities for mathematics are greater than ever. The role of mathematics in society continues to grow; with this growth comes new opportunities and some growing pains; each will be analyzed here. We see a broadening of the intellectual and professional opportunities and responsibilities for mathematicians. These trends are also occuring across all of science. The response can be at the level of the professional societies, which can work to deepen their interactions, not only within the mathematical sciences, but also with other scientific societies. At a deeper level, the choices to be made will come from individual mathematicians. Here, of course, the individual choices will be varied, and we argue for respect and support for this diversity of responses. In such a manner, we hope to preserve the best of the present while welcoming the best of the new.« 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.

Gynaecology – Quo vadis? Situation Analysis, National and International Perspectives

PubMed Central

Brucker, S. Y.; Simoes, E.; Wallwiener, D.

2014-01-01

In a large and heavily networked specialty like gynaecology it is a particular challenge with regard to future status to achieve excellent patient care, research and teaching. At the same time not only hospitals but also research facilities are experiencing increasing pressure from performance and competition sides in terms of survival and further development on the clinical, scientific and economic fronts. The numerous changes, including paradigm shifts, in medicine, society, the health-care system and scientific innovations present new challenges to the specialty. This leads to questions about priority, problem areas and weaknesses as well as to new opportunities for the field and the overall question if it will be possible to meet the paradigm shifts and problems by the creation of new structures. In the light of the need for and the potential of design measures, this article presents a SWOT analysis of the specialtyʼs situation as a whole and in particular for gynaecology in German universities. One sees additional demands that add up to an expansion of the tasks. At the same time the shortage of new recruits becomes apparent. A broadening of the perspectives on womenʼs health and individualised medicine come into focus. Partial solutions include new supporting structures, capacity measurements as well as even structural options. In particular, the department structure, that is common abroad, opens an opportunity for specialisation while maintaining unity for a broader further training and strengthened research. Chances and strengths of the specialty are especially effective in coordinated and concerted activities. PMID:25568466

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.

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.

Navigating climate communication in Trump's America

NASA Astrophysics Data System (ADS)

Myhre, S. E.

2017-12-01

The rise of anti-evidence, climate-dismissive hate speech from the United States Presidency changes the landscape of decisions and public actions for scientists. Indeed, it is a challenging and necessary time to communicate in public as a scientist. The professional paradigm of science communication, which emphasizes storytelling, narrative, and personality, is an insufficient toolkit for navigating these political, ideological, and dysfunctional spaces. When basic scientific evidence is distorted through a partisan lens, scientific communication will be viewed as political speech. This is a problem, because information and data are critical tools for governance. What is more, tribalism, nationalism, misogyny, and racism have been emboldened in our culture, and these views can be coupled with climate-dismissive public voices. It is naïve for institutions, in this political moment, to expect scholars participating in public communication and engagement to simply "keep it to the science". In truth, that apolitical middle ground does not exist - it is a fabrication meant to devalue consensus climate science and to devalue the voices of women, people of color, and other marginalized scientists. Who are we to not advocate for the lives and futures of our families, colleagues, and communities? We need to look directly at the misfit between our public scientific communication and the vacuum of leadership and integrity exhibited at the very top of the US political system. Scientists have a vital culture role, and we must choose wholehearted public engagement and climate leadership during this challenging time.

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

PubMed

Ozdemir, Vural; Smith, Charles; Bongiovanni, Kathleen; Cullen, David; Knoppers, Bartha M; Lowe, Andrew; Peters, Mette; Robbins, Robert; Stewart, Elizabeth; Yee, Gene; Yu, Yi-Kuo; Kolker, Eugene

2011-04-01

Recent developments in our ability to capture, curate, and analyze data, the field of data-intensive science (DIS), have indeed made these interesting and challenging times for scientific practice as well as policy making in real time. We are confronted with immense datasets that challenge our ability to pool, transfer, analyze, or interpret scientific observations. We have more data available than ever before, yet more questions to be answered as well, and no clear path to answer them. We are excited by the potential for science-based solutions to humankind's problems, yet stymied by the limitations of our current cyberinfrastructure and existing public policies. Importantly, DIS signals a transformation of the hypothesis-driven tradition of science ("first hypothesize, then experiment") to one that is typified by "first experiment, then hypothesize" mode of discovery. Another hallmark of DIS is that it amasses data that are public goods (i.e., creates a "commons") that can further be creatively mined for various applications in different sectors. As such, this calls for a science policy vision that is long term. We herein reflect on how best to approach to policy making at this critical inflection point when DIS applications are being diversified in agriculture, ecology, marine biology, and environmental research internationally. This article outlines the key policy issues and gaps that emerged from the multidisciplinary discussions at the NSF-funded DIS workshop held at the Seattle Children's Research Institute in Seattle, on September 19-20, 2010. © Mary Ann Liebert, Inc.

A perspective on physiological studies supporting the provision of scientific advice for the management of Fraser River sockeye salmon (Oncorhynchus nerka)

PubMed Central

Patterson, David A.; Cooke, Steven J.; Hinch, Scott G.; Robinson, Kendra A.; Young, Nathan; Farrell, Anthony P.; Miller, Kristina M.

2016-01-01

The inability of physiologists to effect change in fisheries management has been the source of frustration for many decades. Close collaboration between fisheries managers and researchers has afforded our interdisciplinary team an unusual opportunity to evaluate the emerging impact that physiology can have in providing relevant and credible scientific advice to assist in management decisions. We categorize the quality of scientific advice given to management into five levels based on the type of scientific activity and resulting advice (notions, observations, descriptions, predictions and prescriptions). We argue that, ideally, both managers and researchers have concomitant but separate responsibilities for increasing the level of scientific advice provided. The responsibility of managers involves clear communication of management objectives to researchers, including exact descriptions of knowledge needs and researchable problems. The role of the researcher is to provide scientific advice based on the current state of scientific information and the level of integration with management. The examples of scientific advice discussed herein relate to physiological research on the impact of high discharge and water temperature, pathogens, sex and fisheries interactions on in-river migration success of adult Fraser River sockeye salmon (Oncorhynchus nerka) and the increased understanding and quality of scientific advice that emerges. We submit that success in increasing the quality of scientific advice is a function of political motivation linked to funding, legal clarity in management objectives, collaborative structures in government and academia, personal relationships, access to interdisciplinary experts and scientific peer acceptance. The major challenges with advancing scientific advice include uncertainty in results, lack of integration with management needs and institutional caution in adopting new research. We hope that conservation physiologists can learn from our experiences of providing scientific advice to management to increase the potential for this growing field of research to have a positive influence on resource management. PMID:27928508

A perspective on physiological studies supporting the provision of scientific advice for the management of Fraser River sockeye salmon (Oncorhynchus nerka).

PubMed

Patterson, David A; Cooke, Steven J; Hinch, Scott G; Robinson, Kendra A; Young, Nathan; Farrell, Anthony P; Miller, Kristina M

2016-01-01

The inability of physiologists to effect change in fisheries management has been the source of frustration for many decades. Close collaboration between fisheries managers and researchers has afforded our interdisciplinary team an unusual opportunity to evaluate the emerging impact that physiology can have in providing relevant and credible scientific advice to assist in management decisions. We categorize the quality of scientific advice given to management into five levels based on the type of scientific activity and resulting advice (notions, observations, descriptions, predictions and prescriptions). We argue that, ideally, both managers and researchers have concomitant but separate responsibilities for increasing the level of scientific advice provided. The responsibility of managers involves clear communication of management objectives to researchers, including exact descriptions of knowledge needs and researchable problems. The role of the researcher is to provide scientific advice based on the current state of scientific information and the level of integration with management. The examples of scientific advice discussed herein relate to physiological research on the impact of high discharge and water temperature, pathogens, sex and fisheries interactions on in-river migration success of adult Fraser River sockeye salmon ( Oncorhynchus nerka ) and the increased understanding and quality of scientific advice that emerges. We submit that success in increasing the quality of scientific advice is a function of political motivation linked to funding, legal clarity in management objectives, collaborative structures in government and academia, personal relationships, access to interdisciplinary experts and scientific peer acceptance. The major challenges with advancing scientific advice include uncertainty in results, lack of integration with management needs and institutional caution in adopting new research. We hope that conservation physiologists can learn from our experiences of providing scientific advice to management to increase the potential for this growing field of research to have a positive influence on resource management.

A Programming Framework for Scientific Applications on CPU-GPU Systems

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

Owens, John

2013-03-24

At a high level, my research interests center around designing, programming, and evaluating computer systems that use new approaches to solve interesting problems. The rapid change of technology allows a variety of different architectural approaches to computationally difficult problems, and a constantly shifting set of constraints and trends makes the solutions to these problems both challenging and interesting. One of the most important recent trends in computing has been a move to commodity parallel architectures. This sea change is motivated by the industry’s inability to continue to profitably increase performance on a single processor and instead to move to multiplemore » parallel processors. In the period of review, my most significant work has been leading a research group looking at the use of the graphics processing unit (GPU) as a general-purpose processor. GPUs can potentially deliver superior performance on a broad range of problems than their CPU counterparts, but effectively mapping complex applications to a parallel programming model with an emerging programming environment is a significant and important research problem.« less

Dualism and its place in a philosophical structure for psychiatry.

PubMed

Maung, Hane Htut

2018-05-19

It is often claimed in parts of the psychiatric literature that neuroscientific research into the biological basis of mental disorder undermines dualism in the philosophy of mind. This paper shows that such a claim does not apply to all forms of dualism. Focusing on Kenneth Kendler's discussion of the mind-body problem in biological psychiatry, I argue that such criticism of dualism often conflates the psychological and phenomenal concepts of the mental. Moreover, it fails to acknowledge that there are different varieties of dualism, and so overlooks the important metaphysical insights of contemporary dualist philosophers. I argue that while the neuroscientific research underpinning biological psychiatry challenges the traditional dualism of René Descartes, it does not pose any problem for the more modern dualism of David Chalmers. It is possible to take seriously the scientific claims of biological psychiatry while holding that this latter form of dualism is true. This has implications for the positioning of the mind-body problem in psychiatry. While the "easy" problem of explaining psychological processes is relevant to the aims of biological psychiatry, psychiatrists need not worry about the "hard" problem of consciousness.

Periorbital edema: a puzzle no more?

PubMed

Sobel, Rachel K; Carter, Keith D; Allen, Richard C

2012-09-01

Periorbital edema is a common problem that deserves scrutiny. Although a variety of healthcare providers may see this clinical entity, ophthalmologists are often consulted along the way toward diagnosis. It can challenge even the most astute clinicians. A diagnosis may reveal merely a bothersome issue or potentially a sight-threatening or life-threatening problem. Comprehensive reviews on this topic are scarce. Textbooks are brief. There are, however, many studies in the scientific literature of notable cases of periorbital edema. The causes generally fall into the categories of infectious, inflammatory or tumors, medication related, and postsurgical or trauma. This article synthesizes the current literature on the topic with a case series from our institution. It aims to provide a thorough resource for all practitioners to make the prospect of triaging, diagnosing, and treating periorbital edema less daunting.

Scaling the PuNDIT project for wide area deployments

NASA Astrophysics Data System (ADS)

McKee, Shawn; Batista, Jorge; Carcassi, Gabriele; Dovrolis, Constantine; Lee, Danny

2017-10-01

In today’s world of distributed scientific collaborations, there are many challenges to providing reliable inter-domain network infrastructure. Network operators use a combination of active monitoring and trouble tickets to detect problems, but these are often ineffective at identifying issues that impact wide-area network users. Additionally, these approaches do not scale to wide area inter-domain networks due to unavailability of data from all the domains along typical network paths. The Pythia Network Diagnostic InfrasTructure (PuNDIT) project aims to create a scalable infrastructure for automating the detection and localization of problems across these networks. The project goal is to gather and analyze metrics from existing perfSONAR monitoring infrastructures to identify the signatures of possible problems, locate affected network links, and report them to the user in an intuitive fashion. Simply put, PuNDIT seeks to convert complex network metrics into easily understood diagnoses in an automated manner. We present our progress in creating the PuNDIT system and our status in developing, testing and deploying PuNDIT. We report on the project progress to-date, describe the current implementation architecture and demonstrate some of the various user interfaces it will support. We close by discussing the remaining challenges and next steps and where we see the project going in the future.

Interactive voxel graphics in virtual reality

NASA Astrophysics Data System (ADS)

Brody, Bill; Chappell, Glenn G.; Hartman, Chris

2002-06-01

Interactive voxel graphics in virtual reality poses significant research challenges in terms of interface, file I/O, and real-time algorithms. Voxel graphics is not so new, as it is the focus of a good deal of scientific visualization. Interactive voxel creation and manipulation is a more innovative concept. Scientists are understandably reluctant to manipulate data. They collect or model data. A scientific analogy to interactive graphics is the generation of initial conditions for some model. It is used as a method to test those models. We, however, are in the business of creating new data in the form of graphical imagery. In our endeavor, science is a tool and not an end. Nevertheless, there is a whole class of interactions and associated data generation scenarios that are natural to our way of working and that are also appropriate to scientific inquiry. Annotation by sketching or painting to point to and distinguish interesting and important information is very significant for science as well as art. Annotation in 3D is difficult without a good 3D interface. Interactive graphics in virtual reality is an appropriate approach to this problem.

Becoming the Citizen Scientist: Opportunities and Challenges in Science Policy

NASA Astrophysics Data System (ADS)

Bosler, T. L.

2007-03-01

The methodologies, creativity and intellectual capacity of today's physicists are becoming more and more relevant in the world of policy and politics. Some issues such as climate change, alternative energy and avian influenza clearly reveal the relevance of scientific knowledge and research in policy. However, the connection between science and issues such as electronic voting, government earmarks and international cooperation are not as obvious, but the role of scientists in these topics and their effects on science itself are critical. As the world becomes increasingly technological and global, the need for the involvement of scientists in the political process grows. The traditional scientific training of physicists emphasizes intense scrutiny of specific physical phenomena in the natural world but often misses the opportunity to utilize trained scientific minds on some of society's greatest problems. I will discuss the many ways in which scientists can contribute to society far beyond the academic community and the unique opportunities science policy work offers to the socially conscious scientist or even those just looking to get more grant money.

Journal pricing issues: an economic perspective.

PubMed Central

Hafner, A W; Podsadecki, T J; Whitely, W P

1990-01-01

Scientific journal prices have increased markedly in the past two decades, outpacing inflation by severalfold. Such increases challenge the librarian's ability to manage acquisitions resources effectively and threaten the mission of the health sciences library as a resource for present and future scientific information needs. Explanations for serial price increases vary with the point of view considered. Publishers, librarians, faculty, and consumers of scientific information perceive the situation differently. This paper provides an economic analysis of each group's views. Particular emphasis is given to the aspects of journal publishing and pricing that foster price increases. In addition, the paper examines the problems of dual-pricing structures and narrowly focused journals that cater to subspecialties of medicine. Suggested responses to subscription rate increases are offered to curtail further increases and to avoid the potential detrimental effects of reduced library collections. Since one of the underpinnings of education is threatened by reductions in library collections, actions must be taken by publishers, librarians, faculty, and professional associations to ameliorate the present situation and to limit additional increases in serial prices. PMID:2203496

Observe, simplify, titrate, model, and synthesize: A paradigm for analyzing behavior

PubMed Central

Alberts, Jeffrey R.

2013-01-01

Phenomena in behavior and their underlying neural mechanisms are exquisitely complex problems. Infrequently do we reflect on our basic strategies of investigation and analysis, or formally confront the actual challenges of achieving an understanding of the phenomena that inspire research. Philip Teitelbaum is distinct in his elegant approaches to understanding behavioral phenomena and their associated neural processes. He also articulated his views on effective approaches to scientific analyses of brain and behavior, his vision of how behavior and the nervous system are patterned, and what constitutes basic understanding. His rubrics involve careful observation and description of behavior, simplification of the complexity, analysis of elements, and re-integration through different forms of synthesis. Research on the development of huddling behavior by individual and groups of rats is reviewed in a context of Teitelbaum’s rubrics of research, with the goal of appreciating his broad and positive influence on the scientific community. PMID:22481081

Translating Behavioral Science into Practice: A Framework to Determine Science Quality and Applicability for Police Organizations.

PubMed

McClure, Kimberley A; McGuire, Katherine L; Chapan, Denis M

2018-05-07

Policy on officer-involved shootings is critically reviewed and errors in applying scientific knowledge identified. Identifying and evaluating the most relevant science to a field-based problem is challenging. Law enforcement administrators with a clear understanding of valid science and application are in a better position to utilize scientific knowledge for the benefit of their organizations and officers. A recommended framework is proposed for considering the validity of science and its application. Valid science emerges via hypothesis testing, replication, extension and marked by peer review, known error rates, and general acceptance in its field of origin. Valid application of behavioral science requires an understanding of the methodology employed, measures used, and participants recruited to determine whether the science is ready for application. Fostering a science-practitioner partnership and an organizational culture that embraces quality, empirically based policy, and practices improves science-to-practice translation. © 2018 American Academy of Forensic Sciences.

Evidence based medicine guidelines: a solution to rationing or politics disguised as science?

PubMed

Saarni, S I; Gylling, H A

2004-04-01

"Evidence based medicine" (EBM) is often seen as a scientific tool for quality improvement, even though its application requires the combination of scientific facts with value judgments and the costing of different treatments. How this is done depends on whether we approach the problem from the perspective of individual patients, doctors, or public health administrators. Evidence based medicine exerts a fundamental influence on certain key aspects of medical professionalism. Since, when clinical practice guidelines are created, costs affect the content of EBM, EBM inevitably becomes a form of rationing and adopts a public health point of view. This challenges traditional professionalism in much the same way as managed care has done in the US. Here we chart some of these major philosophical issues and show why simple solutions cannot be found. The profession needs to pay more attention to different uses of EBM in order to preserve the good aspects of professionalism.

The Role of NOAA's National Data Centers in the Earth and Space Science Infrastructure

NASA Astrophysics Data System (ADS)

Fox, C. G.

2008-12-01

NOAA's National Data Centers (NNDC) provide access to long-term archives of environmental data from NOAA and other sources. The NNDCs face significant challenges in the volume and complexity of modern data sets. Data volume challenges are being addressed using more capable data archive systems such as the Comprehensive Large Array-Data Stewardship System (CLASS). Challenges in assuring data quality and stewardship are in many ways more challenging. In the past, scientists at the Data Centers could provide reasonable stewardship of data sets in their area of expertise. As staff levels have decreased and data complexity has increased, Data Centers depend on their data providers and user communities to provide high-quality metadata, feedback on data problems and improvements. This relationship requires strong partnerships between the NNDCs and academic, commercial, and international partners, as well as advanced data management and access tools that conform to established international standards when available. The NNDCs are looking to geospatial databases, interactive mapping, web services, and other Application Program Interface approaches to help preserve NNDC data and information and to make it easily available to the scientific community.

It Ain't (Just) the Heat, It's the Humanity: Increasing Public Understanding of Scientific Consensus and Its Role in Climate Literacy

NASA Astrophysics Data System (ADS)

Jacobs, P.; Cook, J.; Nuccitelli, D.

2014-12-01

An overwhelming scientific consensus exists on the issue of anthropogenic climate change. Unfortunately, public perception of expert agreement remains low- only around 1 in 10 Americans correctly estimates the actual level of consensus on the topic. Moreover, several recent studies have demonstrated the pivotal role that perceived consensus plays in the public's acceptance of key scientific facts about environmental problems, as well as their willingness to support policy to address them. This "consensus gap", between the high level of scientific agreement vs. the public's perception of it, has led to calls for increased consensus messaging. However this call has been challenged by a number of different groups: climate "skeptics" in denial about the existence and validity of the consensus; some social science researchers and journalists who believe that such messages will be ineffective or counterproductive; and even some scientists and science advocates who downplay the value of consensus in science generally. All of these concerns can be addressed by effectively communicating the role of consensus within science to the public, as well as the conditions under which consensus is likely to be correct. Here, we demonstrate that the scientific consensus on anthropogenic climate change satisfies these conditions, and discuss past examples of purported consensus that failed or succeeded to satisfy them as well. We conclude by discussing the way in which scientific consensus is interpreted by the public, and how consensus messaging can improve climate literacy.

Rescuing Data from International Scientific Assessments: A Case Study

NASA Astrophysics Data System (ADS)

Downs, R. R.; Chen, R. S.; Xing, X.

2016-12-01

International scientific assessments such as the Millennium Ecosystem Assessment (MA) and the Intergovernmental Panel on Climate Change (IPCC) assessments represent significant efforts by the global scientific community to review, synthesize, and communicate diverse scientific knowledge, data, and information to support societal decision making on pressing problems such as resource management and climate change. To support the transparency, integrity, and usability of these assessments, it is vital that the underlying data used in these assessments be made openly available and usable by diverse stakeholders. Unfortunately, due to the many geographically dispersed contributors to assessments of this kind, as well as the severe time pressures and limited resources when assessments are conducted, appropriate management and preservation of these data are not always a priority. This can lead to the need to "rescue" key data to ensure their long-term preservation, integrity, accessibility, and appropriate reuse, especially in subsequent assessments. We describe here efforts over two decades to rescue selected data from the MA and IPCC assessments, to work with assessment authors and other contributors to validate and document assessment data, and to develop appropriate levels of data stewardship in light of potential user needs and constrained resources. The IPCC efforts are supported by the IPCC Data Distribution Center (DDC), which is operated collaboratively by the Center for Environmental Data Analysis in the United Kingdom, the World Data Center-Climate in Germany, and the NASA Socioeconomic Data and Applications Center (SEDAC) in the U.S. With the sixth IPCC assessment cycle now starting, a key challenge is to help the assessment community improve data management during the assessment process to reduce the risks of data loss, inadequate documentation, incomplete provenance, unnecessary data restrictions, and other problems.

Low Latency Workflow Scheduling and an Application of Hyperspectral Brightness Temperatures

NASA Astrophysics Data System (ADS)

Nguyen, P. T.; Chapman, D. R.; Halem, M.

2012-12-01

New system analytics for Big Data computing holds the promise of major scientific breakthroughs and discoveries from the exploration and mining of the massive data sets becoming available to the science community. However, such data intensive scientific applications face severe challenges in accessing, managing and analyzing petabytes of data. While the Hadoop MapReduce environment has been successfully applied to data intensive problems arising in business, there are still many scientific problem domains where limitations in the functionality of MapReduce systems prevent its wide adoption by those communities. This is mainly because MapReduce does not readily support the unique science discipline needs such as special science data formats, graphic and computational data analysis tools, maintaining high degrees of computational accuracies, and interfacing with application's existing components across heterogeneous computing processors. We address some of these limitations by exploiting the MapReduce programming model for satellite data intensive scientific problems and address scalability, reliability, scheduling, and data management issues when dealing with climate data records and their complex observational challenges. In addition, we will present techniques to support the unique Earth science discipline needs such as dealing with special science data formats (HDF and NetCDF). We have developed a Hadoop task scheduling algorithm that improves latency by 2x for a scientific workflow including the gridding of the EOS AIRS hyperspectral Brightness Temperatures (BT). This workflow processing algorithm has been tested at the Multicore Computing Center private Hadoop based Intel Nehalem cluster, as well as in a virtual mode under the Open Source Eucalyptus cloud. The 55TB AIRS hyperspectral L1b Brightness Temperature record has been gridded at the resolution of 0.5x1.0 degrees, and we have computed a 0.9 annual anti-correlation to the El Nino Southern oscillation in the Nino 4 region, as well as a 1.9 Kelvin decadal Arctic warming in the 4u and 12u spectral regions. Additionally, we will present the frequency of extreme global warming events by the use of a normalized maximum BT in a grid cell relative to its local standard deviation. A low-latency Hadoop scheduling environment maintains data integrity and fault tolerance in a MapReduce data intensive Cloud environment while improving the "time to solution" metric by 35% when compared to a more traditional parallel processing system for the same dataset. Our next step will be to improve the usability of our Hadoop task scheduling system, to enable rapid prototyping of data intensive experiments by means of processing "kernels". We will report on the performance and experience of implementing these experiments on the NEX testbed, and propose the use of a graphical directed acyclic graph (DAG) interface to help us develop on-demand scientific experiments. Our workflow system works within Hadoop infrastructure as a replacement for the FIFO or FairScheduler, thus the use of Apache "Pig" latin or other Apache tools may also be worth investigating on the NEX system to improve the usability of our workflow scheduling infrastructure for rapid experimentation.

An Ethnomethodological Perspective on How Middle School Students Addressed a Water Quality Problem

ERIC Educational Resources Information Center

Belland, Brian R.; Gu, Jiangyue; Kim, Nam Ju; Turner, David J.

2016-01-01

Science educators increasingly call for students to address authentic scientific problems in science class. One form of authentic science problem--socioscientific issue--requires that students engage in complex reasoning by considering both scientific and social implications of problems. Computer-based scaffolding can support this process by…

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

Crowdsourcing in biomedicine: challenges and opportunities.

PubMed

Khare, Ritu; Good, Benjamin M; Leaman, Robert; Su, Andrew I; Lu, Zhiyong

2016-01-01

The use of crowdsourcing to solve important but complex problems in biomedical and clinical sciences is growing and encompasses a wide variety of approaches. The crowd is diverse and includes online marketplace workers, health information seekers, science enthusiasts and domain experts. In this article, we review and highlight recent studies that use crowdsourcing to advance biomedicine. We classify these studies into two broad categories: (i) mining big data generated from a crowd (e.g. search logs) and (ii) active crowdsourcing via specific technical platforms, e.g. labor markets, wikis, scientific games and community challenges. Through describing each study in detail, we demonstrate the applicability of different methods in a variety of domains in biomedical research, including genomics, biocuration and clinical research. Furthermore, we discuss and highlight the strengths and limitations of different crowdsourcing platforms. Finally, we identify important emerging trends, opportunities and remaining challenges for future crowdsourcing research in biomedicine. Published by Oxford University Press 2015. This work is written by US Government employees and is in the public domain in the US.

Challenges, solutions, and recommendations for Alzheimer's disease combination therapy.

PubMed

Hendrix, James A; Bateman, Randall J; Brashear, H Robert; Duggan, Cynthia; Carrillo, Maria C; Bain, Lisa J; DeMattos, Ronald; Katz, Russell G; Ostrowitzki, Susanne; Siemers, Eric; Sperling, Reisa; Vitolo, Ottavio V

2016-05-01

Given the complex neuropathology Alzheimer's disease (AD), combination therapy may be necessary for effective treatment. However, scientific, pragmatic, regulatory, and business challenges need to be addressed before combination therapy for AD can become a reality. Leaders from academia and industry, along with a former member of the Food and Drug Administration and the Alzheimer's Association, have explored these challenges and here propose a strategy to facilitate proof-of-concept combination therapy trials in the near future. First, a more integrated understanding of the complex pathophysiology and progression of AD is needed to identify the appropriate pathways and the disease stage to target. Once drug candidates are identified, novel clinical trial designs and selection of appropriate outcome assessments will be needed to enable definition and evaluation of the appropriate dose and dosing regimen and determination of efficacy. Success in addressing this urgent problem will only be achieved through collaboration among multiple stakeholders. Copyright © 2016 Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

State of the field: Are the results of science contingent or inevitable?

PubMed

Kinzel, Katherina

2015-08-01

This paper presents a survey of the literature on the problem of contingency in science. The survey is structured around three challenges faced by current attempts at understanding the conflict between "contingentist" and "inevitabilist" interpretations of scientific knowledge and practice. First, the challenge of definition: it proves hard to define the positions that are at stake in a way that is both conceptually rigorous and does justice to the plethora of views on the issue. Second, the challenge of distinction: some features of the debate suggest that the contingency issue may not be sufficiently distinct from other philosophical debates to constitute a genuine, independent philosophical problem. And third, the challenge of decidability: it remains unclear whether and how the conflict could be settled on the basis of empirical evidence from the actual history of science. The paper argues that in order to make progress in the present debate, we need to distinguish more systematically between different expressions that claims about contingency and inevitability in science can take. To this end, it introduces a taxonomy of different contingency and inevitability claims. The taxonomy has the structure of an ordered quadruple. Each contingency and each inevitability claim contains an answer to the following four questions: (how) are alternatives to current science possible, what types of alternatives are we talking about, how should the alternatives be assessed, and how different are they from actual science? Copyright © 2015 Elsevier Ltd. All rights reserved.

The Need for Social Ethics in Interdisciplinary Environmental Science Graduate Programs: Results from a Nation-Wide Survey in the United States.

PubMed

Hall, Troy E; Engebretson, Jesse; O'Rourke, Michael; Piso, Zach; Whyte, Kyle; Valles, Sean

2017-04-01

Professionals in environmental fields engage with complex problems that involve stakeholders with different values, different forms of knowledge, and contentious decisions. There is increasing recognition of the need to train graduate students in interdisciplinary environmental science programs (IESPs) in these issues, which we refer to as "social ethics." A literature review revealed topics and skills that should be included in such training, as well as potential challenges and barriers. From this review, we developed an online survey, which we administered to faculty from 81 United States colleges and universities offering IESPs (480 surveys were completed). Respondents overwhelmingly agreed that IESPs should address values in applying science to policy and management decisions. They also agreed that programs should engage students with issues related to norms of scientific practice. Agreement was slightly less strong that IESPs should train students in skills related to managing value conflicts among different stakeholders. The primary challenges to incorporating social ethics into the curriculum were related to the lack of materials and expertise for delivery, though challenges such as ethics being marginalized in relation to environmental science content were also prominent. Challenges related to students' interest in ethics were considered less problematic. Respondents believed that social ethics are most effectively delivered when incorporated into existing courses, and they preferred case studies or problem-based learning for delivery. Student competence is generally not assessed, and respondents recognized a need for both curricular materials and assessment tools.

Translational Challenges in Cardiovascular Tissue Engineering.

PubMed

Emmert, Maximilian Y; Fioretta, Emanuela S; Hoerstrup, Simon P

2017-04-01

Valvular heart disease and congenital heart defects represent a major cause of death around the globe. Although current therapy strategies have rapidly evolved over the decades and are nowadays safe, effective, and applicable to many affected patients, the currently used artificial prostheses are still suboptimal. They do not promote regeneration, physiological remodeling, or growth (particularly important aspects for children) as their native counterparts. This results in the continuous degeneration and subsequent failure of these prostheses which is often associated with an increased morbidity and mortality as well as the need for multiple re-interventions. To overcome this problem, the concept of tissue engineering (TE) has been repeatedly suggested as a potential technology to enable native-like cardiovascular replacements with regenerative and growth capacities, suitable for young adults and children. However, despite promising data from pre-clinical and first clinical pilot trials, the translation and clinical relevance of such TE technologies is still very limited. The reasons that currently limit broad clinical adoption are multifaceted and comprise of scientific, clinical, logistical, technical, and regulatory challenges which need to be overcome. The aim of this review is to provide an overview about the translational problems and challenges in current TE approaches. It further suggests directions and potential solutions on how these issues may be efficiently addressed in the future to accelerate clinical translation. In addition, a particular focus is put on the current regulatory guidelines and the associated challenges for these promising TE technologies.

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.

Things Change, People Change, Libraries Go on: E-books or Not E-books?

NASA Astrophysics Data System (ADS)

Martines, F.

2015-04-01

The aim of this paper is to describe how e-books work and how they can be managed in a scientific or research library; specifically, to discuss the viability of e-lending. The results were a little bit surprising and even slightly confusing. Unquestionably, e-books have enormous potential, but much of this potential is untapped. Although there is widespread awareness of the advantages of e-books among users and librarians, problems and challenges are not as well known. After a discussion of the potential advantages, I will concentrate on some of the real drawbacks of e-books.

Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping

NASA Technical Reports Server (NTRS)

Royce, Thomas E.; Rozowsky, Joel S.; Bertone, Paul; Samanta, Manoj; Stolc, Viktor; Weissman, Sherman; Snyder, Michael; Gerstein, Mark

2005-01-01

Traditional microarrays use probes complementary to known genes to quantitate the differential gene expression between two or more conditions. Genomic tiling microarray experiments differ in that probes that span a genomic region at regular intervals are used to detect the presence or absence of transcription. This difference means the same sets of biases and the methods for addressing them are unlikely to be relevant to both types of experiment. We introduce the informatics challenges arising in the analysis of tiling microarray experiments as open problems to the scientific community and present initial approaches for the analysis of this nascent technology.

The immune boundaries for stem cell based therapies: problems and prospective solutions

PubMed Central

Abdelkrim, Hmadcha; Juan, Domínguez-Bendala; Jane, Wakeman; Mohamed, Arredouani; Bernat, Soria

2009-01-01

Stem cells have fascinated the scientific and clinical communities for over a century. Despite the controversy that surrounds this field, it is clear that stem cells have the potential to revolutionize medicine. However, a number of significant hurdles still stand in the way of the realization of this potential. Chiefly among these are safety concerns, differentiation efficiency and overcoming immune rejection. Here we review current progress made in this field to optimize the safe use of stem cells with particular emphasis on prospective interventions to deal with challenges generated by immune rejection. PMID:19583810

The National Ignition Facility: The Path to a Carbon-Free Energy Future

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

Stolz, C J

2011-03-16

The National Ignition Facility (NIF), the world's largest and most energetic laser system, is now operational at Lawrence Livermore National Laboratory (LLNL). The NIF will enable exploration of scientific problems in national strategic security, basic science and fusion energy. One of the early NIF goals centers on achieving laboratory-scale thermonuclear ignition and energy gain, demonstrating the feasibility of laser fusion as a viable source of clean, carbon-free energy. This talk will discuss the precision technology and engineering challenges of building the NIF and those we must overcome to make fusion energy a commercial reality.

The National Ignition Facility: the path to a carbon-free energy future.

PubMed

Stolz, Christopher J

2012-08-28

The National Ignition Facility (NIF), the world's largest and most energetic laser system, is now operational at Lawrence Livermore National Laboratory. The NIF will enable exploration of scientific problems in national strategic security, basic science and fusion energy. One of the early NIF goals centres on achieving laboratory-scale thermonuclear ignition and energy gain, demonstrating the feasibility of laser fusion as a viable source of clean, carbon-free energy. This talk will discuss the precision technology and engineering challenges of building the NIF and those we must overcome to make fusion energy a commercial reality.

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.

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.

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.

USRA/RIACS

NASA Technical Reports Server (NTRS)

Oliger, Joseph

1992-01-01

The Research Institute for Advanced Computer Science (RIACS) was established by the Universities Space Research Association (USRA) at the NASA Ames Research Center (ARC) on June 6, 1983. RIACS is privately operated by USRA, a consortium of universities with research programs in the aerospace sciences, under a cooperative agreement with NASA. The primary mission of RIACS is to provide research and expertise in computer science and scientific computing to support the scientific missions of NASA ARC. The research carried out at RIACS must change its emphasis from year to year in response to NASA ARC's changing needs and technological opportunities. A flexible scientific staff is provided through a university faculty visitor program, a post doctoral program, and a student visitor program. Not only does this provide appropriate expertise but it also introduces scientists outside of NASA to NASA problems. A small group of core RIACS staff provides continuity and interacts with an ARC technical monitor and scientific advisory group to determine the RIACS mission. RIACS activities are reviewed and monitored by a USRA advisory council and ARC technical monitor. Research at RIACS is currently being done in the following areas: (1) parallel computing; (2) advanced methods for scientific computing; (3) learning systems; (4) high performance networks and technology; and (5) graphics, visualization, and virtual environments. In the past year, parallel compiler techniques and adaptive numerical methods for flows in complicated geometries were identified as important problems to investigate for ARC's involvement in the Computational Grand Challenges of the next decade. We concluded a summer student visitors program during this six months. We had six visiting graduate students that worked on projects over the summer and presented seminars on their work at the conclusion of their visits. RIACS technical reports are usually preprints of manuscripts that have been submitted to research journals or conference proceedings. A list of these reports for the period July 1, 1992 through December 31, 1992 is provided.

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.

Microfluidics: Science and Engineering at the Edge of the Continuum

NASA Astrophysics Data System (ADS)

Breuer, Kenny

2002-11-01

The widespread growth of microengineering and the development of a new generation of micron- and nanometer scale diagnostic techniques has focussed much recent attention on the mechanics of fluids at the micron and sub-micron scale. Challenges with both scientific and engineering relevance have been raised by this activity, ranging from the prediction of viscous damping and lubrication effects in MEMS to the design of microengines to the understanding of bacterial propulsion. Identifying and addressing these challenges form the basis of this talk. >From a scientific perspective, a question that refuses to die is that of the applicability of the continuum hypothesis, and the possible existence of new physical phenomena only observable in small systems. To be brief, the reports of the demise of the Navier-Stokes equations are greatly exaggerated and to illustrate this we will review the more recent work on near-continuum fluid mechanics in micron and sub-micron scale devices with an emphasis on our own experiments on the breakdown of the continuum description in both gaseous and liquid flows. From an engineering perspective, the tight coupling between fluids, structures and manufacturing result in flows characterized by unfamiliar parameter regimes and unconventional geometries. We will look at several examples of such microfluidic engineering, drawn from MEMS (inertial instruments, microengines) and biology (bacterial propulsion) that illustrate the the unique design challenges that we encounter in microfluidic devices and the solutions (and lack of solutions) to these problems.

Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm

PubMed Central

Abdulhamid, Shafi’i Muhammad; Abd Latiff, Muhammad Shafie; Abdul-Salaam, Gaddafi; Hussain Madni, Syed Hamid

2016-01-01

Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface. Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources. Recently, a number of metaheuristics optimization schemes have been applied to address the challenges of applications scheduling in the cloud system, without much emphasis on the issue of secure global scheduling. In this paper, scientific applications scheduling techniques using the Global League Championship Algorithm (GBLCA) optimization technique is first presented for global task scheduling in the cloud environment. The experiment is carried out using CloudSim simulator. The experimental results show that, the proposed GBLCA technique produced remarkable performance improvement rate on the makespan that ranges between 14.44% to 46.41%. It also shows significant reduction in the time taken to securely schedule applications as parametrically measured in terms of the response time. In view of the experimental results, the proposed technique provides better-quality scheduling solution that is suitable for scientific applications task execution in the Cloud Computing environment than the MinMin, MaxMin, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) scheduling techniques. PMID:27384239

Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm.

PubMed

Abdulhamid, Shafi'i Muhammad; Abd Latiff, Muhammad Shafie; Abdul-Salaam, Gaddafi; Hussain Madni, Syed Hamid

2016-01-01

Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface. Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources. Recently, a number of metaheuristics optimization schemes have been applied to address the challenges of applications scheduling in the cloud system, without much emphasis on the issue of secure global scheduling. In this paper, scientific applications scheduling techniques using the Global League Championship Algorithm (GBLCA) optimization technique is first presented for global task scheduling in the cloud environment. The experiment is carried out using CloudSim simulator. The experimental results show that, the proposed GBLCA technique produced remarkable performance improvement rate on the makespan that ranges between 14.44% to 46.41%. It also shows significant reduction in the time taken to securely schedule applications as parametrically measured in terms of the response time. In view of the experimental results, the proposed technique provides better-quality scheduling solution that is suitable for scientific applications task execution in the Cloud Computing environment than the MinMin, MaxMin, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) scheduling techniques.

Building Science Identity in Disadvantaged Teenage Girls using an Apprenticeship Model

NASA Astrophysics Data System (ADS)

Pettit, E. C.; Conner, L.; Tzou, C.

2015-12-01

Expeditionary science differs from laboratory science in that expeditionary science teams conduct investigations in conditions that are often physically and socially, as well as intellectually, challenging. Team members live in close quarters for extended periods of time, team building and leadership affect the scientific process, and research tools are limited to what is available on site. Girls on Ice is an expeditionary science experience primarily for disadvantaged girls; it fully immerses girls in a mini scientific expedition to study alpine, glacierized environments. In addition to mentoring the girls through conducting their own scientific research, we encourage awareness and discussion of different sociocultural perspectives on the relation between the natural world, science, and society. The experience aligns closely with the apprenticeship model of learning, which can be effective in enhancing identification with science. Using a mixed-methods approach, we show that the Girls on Ice model helps girls (1) increase their interest and engagement in science and build a stronger science identity, (2) develop confidence, importantly they develop a combined physical and intellectual confidence; (3) engage in authentic scientific thinking, including critical thinking and problem solving; and (4) enhance leadership self-confidence. We discuss these results in a learning sciences framework, which posits that learning is inseparable from the social and physical contexts in which it takes place.

[About History of Scientific Clinical Schools in Russia: Certain Disputable Issues of Methodology of Studying Problem].

PubMed

Borodulin, V I; Gliantsev, S P

2017-07-01

The article considers particular key methodological aspects of problem of scientific clinical school in national medicine. These aspects have to do with notion of school, its profile, issues of pedagogues, teachings and followers, subsidiary schools and issue of ethical component of scientific school. The article is a polemic one hence one will find no definite answers to specified questions. The reader is proposed to ponder over answers independently adducing examples of pro and contra. The conclusion is made about necessity of studying scientific schools in other areas of medicine and further elaboration of problem.

Examining the Relationship of Scientific Reasoning with Physics Problem Solving

ERIC Educational Resources Information Center

Fabby, Carol; Koenig, Kathleen

2015-01-01

Recent research suggests students with more formal reasoning patterns are more proficient learners. However, little research has been done to establish a relationship between scientific reasoning and problem solving abilities by novices. In this exploratory study, we compared scientific reasoning abilities of students enrolled in a college level…

Healthy ageing supported by technology--a cross-disciplinary research challenge.

PubMed

Koch, Sabine

2010-01-01

During the last decade, the challenges of an ageing society became focus for extensive scientific, public and political discussions. From discussions in scientific fora within each discipline, there is now a shift towards cross-disciplinary scientific approaches. The aim of this article is therefore, to collect and describe different scientific viewpoints in this regard and to point out research gaps to be addressed in the future. The article is based on a number of review articles and keynote lectures given by the author, and complemented with informal interviews of experts from different scientific fields engaged in the field of technology and ageing. Results show that research has emerged from being technology-focussed to scenario-based taking different scientific perspectives into account. However, the biggest challenge still is to accommodate the need for a holistic integrated service which means to provide personalised services and adapt technology and content to individual needs of different stakeholders. Further, cross-disciplinary research is needed that relates informatics and technology to different stages of the aging process and that evaluates the effects of proposed technical solutions.

The dual-use problem, scientific isolationism and the division of moral labour.

PubMed

Douglas, Thomas

2014-01-01

The dual-use problem is an ethical quandary sometimes faced by scientists and others in a position to influence the creation or dissemination of scientific knowledge. It arises when (i) an agent is considering whether to pursue some project likely to result in the creation or dissemination of scientific knowledge, (ii) that knowledge could be used in both morally desirable and morally undesirable ways, and (iii) the risk of undesirable use is sufficiently high that it is not clear that the agent may permissibly pursue the project or policy. Agents said to be faced with dual-use problems have frequently responded by appealing to a view that I call scientific isolationism. This is, roughly, the view that scientific decisions may be made without morally appraising the likely uses of the scientific knowledge whose production or dissemination is at stake. I consider whether scientific isolationism can be justified in a form that would indeed provide a way out of dual-use problems. I first argue for a presumption against a strong form of isolationism, and then examine four arguments that might be thought to override this presumption. The most promising of these arguments appeals to the idea of a division of moral labour, but I argue that even this argument can sustain at most a highly attenuated form of scientific isolationism and that this variant of isolationism has little practical import for discussions of the dual-use problem.

Engineering approximations in welding: Bridging the gap between the speculation and simulation

DOE PAGES

Robino, Charles V.

2016-01-15

During the course of their careers, welding engineers and welding metallurgists are often confronted with questions regarding welding process and properties that on the surface appear to be simple and direct, but are in fact quite challenging. These questions generally mask an underlying complexity whose underpinnings in scientific and applied research predate even the founding of the American Welding Society, and previous Comfort A. Adams lectures provide ample and fascinating evidence of the breadth and depth of this complexity. Using these studies or their own experiences and investigations as a basis, most welding and materials engineers have developed engineering toolsmore » to provide working approaches to these day-to-day questions and problems. In this article several examples of research into developing working approaches to welding problems are presented.« less

Engineering approximations in welding: Bridging the gap between the speculation and simulation

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

Robino, Charles V.

During the course of their careers, welding engineers and welding metallurgists are often confronted with questions regarding welding process and properties that on the surface appear to be simple and direct, but are in fact quite challenging. These questions generally mask an underlying complexity whose underpinnings in scientific and applied research predate even the founding of the American Welding Society, and previous Comfort A. Adams lectures provide ample and fascinating evidence of the breadth and depth of this complexity. Using these studies or their own experiences and investigations as a basis, most welding and materials engineers have developed engineering toolsmore » to provide working approaches to these day-to-day questions and problems. In this article several examples of research into developing working approaches to welding problems are presented.« less

Understanding Fear of Opportunism in Global Prize-Based Science Contests: Evidence for Gender and Age Differences

PubMed Central

Acar, Oguz Ali; van den Ende, Jan

2015-01-01

Global prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure, however, is paradoxical in nature: in order for the value of knowledge to be assessed, inventors must disclose their knowledge, but then the person who receives that knowledge does so at no cost and may use it opportunistically. This risk of potential opportunistic behavior in turn makes the inventor fearful of disclosing knowledge, and this is a major psychological barrier to knowledge disclosure. In this project, we investigated this fear of opportunism in global prize-based science contests by surveying 630 contest participants in the InnoCentive online platform for science contests. We found that participants in these science contests experience fear of opportunism to varying degrees, and that women and older participants have significantly less fear of disclosing their scientific knowledge. Our findings highlight the importance of taking differences in such fears into account when designing global prize-based contests so that the potential of the contests for reaching solutions to important and challenging problems can be used more effectively. PMID:26230086

Defining Computational Thinking for Mathematics and Science Classrooms

NASA Astrophysics Data System (ADS)

Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri

2016-02-01

Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include "computational thinking" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics curricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.

Understanding Fear of Opportunism in Global Prize-Based Science Contests: Evidence for Gender and Age Differences.

PubMed

Acar, Oguz Ali; van den Ende, Jan

2015-01-01

Global prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure, however, is paradoxical in nature: in order for the value of knowledge to be assessed, inventors must disclose their knowledge, but then the person who receives that knowledge does so at no cost and may use it opportunistically. This risk of potential opportunistic behavior in turn makes the inventor fearful of disclosing knowledge, and this is a major psychological barrier to knowledge disclosure. In this project, we investigated this fear of opportunism in global prize-based science contests by surveying 630 contest participants in the InnoCentive online platform for science contests. We found that participants in these science contests experience fear of opportunism to varying degrees, and that women and older participants have significantly less fear of disclosing their scientific knowledge. Our findings highlight the importance of taking differences in such fears into account when designing global prize-based contests so that the potential of the contests for reaching solutions to important and challenging problems can be used more effectively.

The effect of Think Pair Share (TPS) using scientific approach on students’ self-confidence and mathematical problem-solving

NASA Astrophysics Data System (ADS)

Rifa’i, A.; Lestari, H. P.

2018-03-01

This study was designed to know the effects of Think Pair Share using Scientific Approach on students' self-confidence and mathematical problem-solving. Quasi-experimental with pre-test post-test non-equivalent group method was used as a basis for design this study. Self-confidence questionnaire and problem-solving test have been used for measurement of the two variables. Two classes of the first grade in religious senior high school (MAN) in Indonesia were randomly selected for this study. Teaching sequence and series from mathematics book at control group in the traditional way and at experiment group has been in TPS using scientific approach learning method. For data analysis regarding students’ problem-solving skill and self-confidence, One-Sample t-Test, Independent Sample t-Test, and Multivariate of Variance (MANOVA) were used. The results showed that (1) TPS using a scientific approach and traditional learning had positive effects (2) TPS using scientific approach learning in comparative with traditional learning had a more significant effect on students’ self-confidence and problem-solving skill.

The 1987 RIACS annual report

NASA Technical Reports Server (NTRS)

1987-01-01

The Research Institute for Advanced Computer Science (RIACS) was established at the NASA Ames Research Center in June of 1983. RIACS is privately operated by the Universities Space Research Association (USRA), a consortium of 64 universities with graduate programs in the aerospace sciences, under several Cooperative Agreements with NASA. RIACS's goal is to provide preeminent leadership in basic and applied computer science research as partners in support of NASA's goals and missions. In pursuit of this goal, RIACS contributes to several of the grand challenges in science and engineering facing NASA: flying an airplane inside a computer; determining the chemical properties of materials under hostile conditions in the atmospheres of earth and the planets; sending intelligent machines on unmanned space missions; creating a one-world network that makes all scientific resources, including those in space, accessible to all the world's scientists; providing intelligent computational support to all stages of the process of scientific investigation from problem formulation to results dissemination; and developing accurate global models for climatic behavior throughout the world. In working with these challenges, we seek novel architectures, and novel ways to use them, that exploit the potential of parallel and distributed computation and make possible new functions that are beyond the current reach of computing machines. The investigation includes pattern computers as well as the more familiar numeric and symbolic computers, and it includes networked systems of resources distributed around the world. We believe that successful computer science research is interdisciplinary: it is driven by (and drives) important problems in other disciplines. We believe that research should be guided by a clear long-term vision with planned milestones. And we believe that our environment must foster and exploit innovation. Our activities and accomplishments for the calendar year 1987 and our plans for 1988 are reported.

The importance of comprehensive agricultural education in land-grant institutions: a historical perspective.

PubMed

Grant, P M; Field, T G; Green, R D; Rollin, B E

2000-06-01

Any thorough examination of the present and future of agricultural education must certainly begin with a look into its past. Since the creation of the United States, many leading American philosophers have viewed a strong agrarian culture as the bedrock of American vigor. These same philosophers repeatedly noted the significance of comprehensive agricultural education to a nation rich in agricultural wealth. The signing of the Agricultural Colleges Act legitimized the concept of formal education in the agricultural sciences and provided funding for such education. The Act, which came to be known as the Morrill Act, after one of its primary authors, stressed the importance of comprehensive education. In fact, the inclusion of liberal studies was specifically mentioned in the Morrill Act and was defended repeatedly by Morrill himself. Comprehensive education prevented graduating technically trained students who were lacking in the basic outcomes of education--critical, comprehensive problem solving, cohesive thought, and effective communication. However, throughout history, the demands of a growing population coupled with rapid advancements in scientific knowledge led to a gradual move away from comprehensive education in agricultural sciences toward increasing specialization, resulting in more narrowly trained students. Today's agricultural students are technically well versed but often lack the skill and knowledge required for cohesive thought and critical problem solving. Addressing the multitude of challenges facing leaders in the future of agriculture requires much more than technical skill. These challenges require quick, yet careful thinkers and communicators who can respond to changing market structure and consumer demand in a dynamic way. Students who are a product of a conscious move toward amalgamation of burgeoning scientific knowledge and technical prowess with an integrative education emphasizing relationships between disciplines would better serve tomorrow's agriculture.

A Series of MATLAB Learning Modules to Enhance Numerical Competency in Applied Marine Sciences

NASA Astrophysics Data System (ADS)

Fischer, A. M.; Lucieer, V.; Burke, C.

2016-12-01

Enhanced numerical competency to navigate the massive data landscapes are critical skills students need to effectively explore, analyse and visualize complex patterns in high-dimensional data for addressing the complexity of many of the world's problems. This is especially the case for interdisciplinary, undergraduate applied marine science programs, where students are required to demonstrate competency in methods and ideas across multiple disciplines. In response to this challenge, we have developed a series of repository-based data exploration, analysis and visualization modules in MATLAB for integration across various attending and online classes within the University of Tasmania. The primary focus of these modules is to teach students to collect, aggregate and interpret data from large on-line marine scientific data repositories to, 1) gain technical skills in discovering, accessing, managing and visualising large, numerous data sources, 2) interpret, analyse and design approaches to visualise these data, and 3) to address, through numerical approaches, complex, real-world problems, that the traditional scientific methods cannot address. All modules, implemented through a MATLAB live script, include a short recorded lecture to introduce the topic, a handout that gives an overview of the activities, an instructor's manual with a detailed methodology and discussion points, a student assessment (quiz and level-specific challenge task), and a survey. The marine science themes addressed through these modules include biodiversity, habitat mapping, algal blooms and sea surface temperature change and utilize a series of marine science and oceanographic data portals. Through these modules students, with minimal experience in MATLAB or numerical methods are introduced to array indexing, concatenation, sorting, and reshaping, principal component analysis, spectral analysis and unsupervised classification within the context of oceanographic processes, marine geology and marine community ecology.

Big data uncertainties.

PubMed

Maugis, Pierre-André G

2018-07-01

Big data-the idea that an always-larger volume of information is being constantly recorded-suggests that new problems can now be subjected to scientific scrutiny. However, can classical statistical methods be used directly on big data? We analyze the problem by looking at two known pitfalls of big datasets. First, that they are biased, in the sense that they do not offer a complete view of the populations under consideration. Second, that they present a weak but pervasive level of dependence between all their components. In both cases we observe that the uncertainty of the conclusion obtained by statistical methods is increased when used on big data, either because of a systematic error (bias), or because of a larger degree of randomness (increased variance). We argue that the key challenge raised by big data is not only how to use big data to tackle new problems, but to develop tools and methods able to rigorously articulate the new risks therein. Copyright © 2016. Published by Elsevier Ltd.

Building the Superconducting Super Collider, 1989-1993: The Problem of Project Management

NASA Astrophysics Data System (ADS)

Riordan, Michael

2011-04-01

In attempting to construct the Superconducting Super Collider, US particle physicists faced a challenge unprecedented in the history of science. The SSC was the biggest and costliest pure scientific project ever, comparable in overall scale to the Manhattan Project or the Panama Canal - an order of magnitude larger than any previous particle accelerator or collider project. Managing such an enormous endeavor involved coordinating conventional-construction, magnet-manufacturing, and detector-building efforts costing over a billion dollars apiece. Because project-management experience at this scale did not exist within the physics community, the Universities Research Association and the US Department of Energy turned to companies and individuals from the military-industrial complex, with mixed results. The absence of a strong, qualified individual to serve as Project Manager throughout the duration of the project was a major problem. I contend that these problems in its project management contributed importantly to the SSC's 1993 demise. Research supported by NSF Award No. 823296.

Crosscut report: Exascale Requirements Reviews, March 9–10, 2017 – Tysons Corner, Virginia. An Office of Science review sponsored by: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics

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

Gerber, Richard; Hack, James; Riley, Katherine

The mission of the U.S. Department of Energy Office of Science (DOE SC) is the delivery of scientific discoveries and major scientific tools to transform our understanding of nature and to advance the energy, economic, and national security missions of the United States. To achieve these goals in today’s world requires investments in not only the traditional scientific endeavors of theory and experiment, but also in computational science and the facilities that support large-scale simulation and data analysis. The Advanced Scientific Computing Research (ASCR) program addresses these challenges in the Office of Science. ASCR’s mission is to discover, develop, andmore » deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to DOE. ASCR supports research in computational science, three high-performance computing (HPC) facilities — the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory and Leadership Computing Facilities at Argonne (ALCF) and Oak Ridge (OLCF) National Laboratories — and the Energy Sciences Network (ESnet) at Berkeley Lab. ASCR is guided by science needs as it develops research programs, computers, and networks at the leading edge of technologies. As we approach the era of exascale computing, technology changes are creating challenges for science programs in SC for those who need to use high performance computing and data systems effectively. Numerous significant modifications to today’s tools and techniques will be needed to realize the full potential of emerging computing systems and other novel computing architectures. To assess these needs and challenges, ASCR held a series of Exascale Requirements Reviews in 2015–2017, one with each of the six SC program offices,1 and a subsequent Crosscut Review that sought to integrate the findings from each. Participants at the reviews were drawn from the communities of leading domain scientists, experts in computer science and applied mathematics, ASCR facility staff, and DOE program managers in ASCR and the respective program offices. The purpose of these reviews was to identify mission-critical scientific problems within the DOE Office of Science (including experimental facilities) and determine the requirements for the exascale ecosystem that would be needed to address those challenges. The exascale ecosystem includes exascale computing systems, high-end data capabilities, efficient software at scale, libraries, tools, and other capabilities. This effort will contribute to the development of a strategic roadmap for ASCR compute and data facility investments and will help the ASCR Facility Division establish partnerships with Office of Science stakeholders. It will also inform the Office of Science research needs and agenda. The results of the six reviews have been published in reports available on the web at http://exascaleage.org/. This report presents a summary of the individual reports and of common and crosscutting findings, and it identifies opportunities for productive collaborations among the DOE SC program offices.« less

Enhancing insight in scientific problem solving by highlighting the functional features of prototypes: an fMRI study.

PubMed

Hao, Xin; Cui, Shuai; Li, Wenfu; Yang, Wenjing; Qiu, Jiang; Zhang, Qinglin

2013-10-09

Insight can be the first step toward creating a groundbreaking product. As evident in anecdotes and major inventions in history, heuristic events (heuristic prototypes) prompted inventors to acquire insight when solving problems. Bionic imitation in scientific innovation is an example of this kind of problem solving. In particular, heuristic prototypes (e.g., the lotus effect; the very high water repellence exhibited by lotus leaves) help solve insight problems (e.g., non-stick surfaces). We speculated that the biological functional feature of prototypes is a critical factor in inducing insightful scientific problem solving. In this functional magnetic resonance imaging (fMRI) study, we selected scientific innovation problems and utilized "learning prototypes-solving problems" two-phase paradigm to test the supposition. We also explored its neural mechanisms. Functional MRI data showed that the activation of the middle temporal gyrus (MTG, BA 37) and the middle occipital gyrus (MOG, BA 19) were associated with the highlighted functional feature condition. fMRI data also indicated that the MTG (BA 37) could be responsible for the semantic processing of functional features and for the formation of novel associations based on related functions. In addition, the MOG (BA 19) could be involved in the visual imagery of formation and application of function association between the heuristic prototype and problem. Our findings suggest that both semantic processing and visual imagery could be crucial components underlying scientific problem solving. © 2013 Elsevier B.V. All rights reserved.

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.…

Communicating Scientific Findings to Lawyers, Policy-Makers, and the Public (Invited)

NASA Astrophysics Data System (ADS)

Thompson, W.; Velsko, S. P.

2013-12-01

This presentation will summarize the authors' collaborative research on inferential errors, bias and communication difficulties that have arisen in the area of WMD forensics. This research involves analysis of problems that have arisen in past national security investigations, interviews with scientists from various disciplines whose work has been used in WMD investigations, interviews with policy-makers, and psychological studies of lay understanding of forensic evidence. Implications of this research for scientists involved in nuclear explosion monitoring will be discussed. Among the issues covered will be: - Potential incompatibilities between the questions policy makers pose and the answers that experts can provide. - Common misunderstandings of scientific and statistical data. - Advantages and disadvantages of various methods for describing and characterizing the strength of scientific findings. - Problems that can arise from excessive hedging or, alternatively, insufficient qualification of scientific conclusions. - Problems that can arise from melding scientific and non-scientific evidence in forensic assessments.

Twenty years of research on water management issues in the Danube Macro-region - past developments and future directions.

PubMed

Feldbacher, Eva; Paun, Mihaela; Reckendorfer, Walter; Sidoroff, Manuela; Stanica, Adrian; Strimbu, Bogdan; Tusa, Iris; Vulturescu, Viorel; Hein, Thomas

2016-12-01

The Danube River-Danube Delta-Black Sea (DBS) region has witnessed major political, social and economic changes during the past three decades, which have profoundly affected the riverine, coastal and marine systems, their water management situation and the development of related research programmes. We reviewed the research activities in the DBS system of the past twenty years to determine the main funding bodies and to assess key research areas and how they varied over time and geographic region. As data basis we used a metadatabase filled with 478 projects addressing environmental and water management issues in the Danube River Basin, covering also the Danube Delta and the north-western Black Sea. As overall outcome extensive research efforts in the field of water management could be proven for the past two decades, despite the tumultuous times of political and economic transformations. One of the main findings was that EU funded projects played a key role for the development of transboundary research collaboration and were also the scientifically most productive one's. Historically, nutrient pollution was the main problem addressed, shifting to pollution in a broader sense and hydromorphological alterations in recent years. The newly arising challenges of climate change impacts and sediment management became important research questions in the last years, too. Most research was performed in the thematic field of navigation, followed by restoration and biodiversity issues. To meet all of the already identified and newly emerging challenges in the DBS System, cross-border and integrated (river-delta-sea) research activities are of major importance and have to be further promoted. We thus suggest drawing up a regional DBS Research Agenda linked to key challenges in water management to strengthen research collaboration and advance targeted scientific projects, an approach fostering also the scientific capacity in the region. Copyright © 2015 Elsevier B.V. All rights reserved.

Highly parallel computation

NASA Technical Reports Server (NTRS)

Denning, Peter J.; Tichy, Walter F.

1990-01-01

Highly parallel computing architectures are the only means to achieve the computation rates demanded by advanced scientific problems. A decade of research has demonstrated the feasibility of such machines and current research focuses on which architectures designated as multiple instruction multiple datastream (MIMD) and single instruction multiple datastream (SIMD) have produced the best results to date; neither shows a decisive advantage for most near-homogeneous scientific problems. For scientific problems with many dissimilar parts, more speculative architectures such as neural networks or data flow may be needed.

Providing Climate Policy Makers With a Strong Scientific Base (Invited)

NASA Astrophysics Data System (ADS)

Struzik, E.

2009-12-01

Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

Toward Theory-Based Instruction in Scientific Problem Solving.

ERIC Educational Resources Information Center

Heller, Joan I.; And Others

Several empirical and theoretical analyses related to scientific problem-solving are reviewed, including: detailed studies of individuals at different levels of expertise, and computer models simulating some aspects of human information processing during problem solving. Analysis of these studies has revealed many facets about the nature of the…

Understanding child sexual behavior problems: a developmental psychopathology framework.

PubMed

Elkovitch, Natasha; Latzman, Robert D; Hansen, David J; Flood, Mary Fran

2009-11-01

Children exhibiting sexual behavior have increasingly gained the attention of child welfare and mental health systems, as well as the scientific community. While a heterogeneous group, children with sexual behavior problems consistently demonstrate a number of problems related to adjustment and overall development. In order to appropriately intervene with these children, a comprehensive understanding of etiology is imperative. The overarching goal of the present paper is to review the extant research on mechanisms associated with the development of problematic sexual behavior in childhood within a developmental psychopathology framework. What is known about normative and nonnormative sexual behavior in childhood is reviewed, highlighting definitional challenges and age-related developmental differences. Further, the relationship between child sexual abuse and child sexual behavior problems is discussed, drawing attention to factors impacting this relationship. Risk factors for child sexual behavior problems, beyond that of sexual abuse, are also reviewed utilizing a transactional-ecological framework. Finally, we conclude with a discussion of implications of a developmental psychopathology perspective on problematic child sexual behaviors to inform future research and intervention efforts. Such implications include the need for attention to normative childhood sexual behavior, developmental sensitivity, and examinations of ecological domain in concert.

Nanotechnology in dentistry: prevention, diagnosis, and therapy.

PubMed

Abou Neel, Ensanya Ali; Bozec, Laurent; Perez, Roman A; Kim, Hae-Won; Knowles, Jonathan C

2015-01-01

Nanotechnology has rapidly expanded into all areas of science; it offers significant alternative ways to solve scientific and medical questions and problems. In dentistry, nanotechnology has been exploited in the development of restorative materials with some significant success. This review discusses nanointerfaces that could compromise the longevity of dental restorations, and how nanotechnolgy has been employed to modify them for providing long-term successful restorations. It also focuses on some challenging areas in dentistry, eg, oral biofilm and cancers, and how nanotechnology overcomes these challenges. The recent advances in nanodentistry and innovations in oral health-related diagnostic, preventive, and therapeutic methods required to maintain and obtain perfect oral health, have been discussed. The recent advances in nanotechnology could hold promise in bringing a paradigm shift in dental field. Although there are numerous complex therapies being developed to treat many diseases, their clinical use requires careful consideration of the expense of synthesis and implementation.

Nanotechnology in dentistry: prevention, diagnosis, and therapy

PubMed Central

Abou Neel, Ensanya Ali; Bozec, Laurent; Perez, Roman A; Kim, Hae-Won; Knowles, Jonathan C

2015-01-01

Nanotechnology has rapidly expanded into all areas of science; it offers significant alternative ways to solve scientific and medical questions and problems. In dentistry, nanotechnology has been exploited in the development of restorative materials with some significant success. This review discusses nanointerfaces that could compromise the longevity of dental restorations, and how nanotechnolgy has been employed to modify them for providing long-term successful restorations. It also focuses on some challenging areas in dentistry, eg, oral biofilm and cancers, and how nanotechnology overcomes these challenges. The recent advances in nanodentistry and innovations in oral health-related diagnostic, preventive, and therapeutic methods required to maintain and obtain perfect oral health, have been discussed. The recent advances in nanotechnology could hold promise in bringing a paradigm shift in dental field. Although there are numerous complex therapies being developed to treat many diseases, their clinical use requires careful consideration of the expense of synthesis and implementation. PMID:26504385

"Stop, You're Killing us!" An Alternative Take on Populism and Public Health Comment on "The Rise of Post-truth Populism in Pluralist Liberal Democracies: Challenges for Health Policy".

PubMed

Schrecker, Ted

2017-04-26

Ewen Speed and Russell Mannion correctly identify several contours of the challenges for health policy in what it is useful to think of as a post-democratic era. I argue that the problem for public health is not populism per se, but rather the distinctive populism of the right coupled with the failure of the left to develop compelling counternarratives. Further, defences of 'science' must be tempered by recognition of the unavoidably political dimensions of the (mis)use of scientific findings in public policy. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

Synthetic biology between technoscience and thing knowledge.

PubMed

Gelfert, Axel

2013-06-01

Synthetic biology presents a challenge to traditional accounts of biology: Whereas traditional biology emphasizes the evolvability, variability, and heterogeneity of living organisms, synthetic biology envisions a future of homogeneous, humanly engineered biological systems that may be combined in modular fashion. The present paper approaches this challenge from the perspective of the epistemology of technoscience. In particular, it is argued that synthetic-biological artifacts lend themselves to an analysis in terms of what has been called 'thing knowledge'. As such, they should neither be regarded as the simple outcome of applying theoretical knowledge and engineering principles to specific technological problems, nor should they be treated as mere sources of new evidence in the general pursuit of scientific understanding. Instead, synthetic-biological artifacts should be viewed as partly autonomous research objects which, qua their material-biological constitution, embody knowledge about the natural world-knowledge that, in turn, can be accessed via continuous experimental interrogation. Copyright © 2013 Elsevier Ltd. All rights reserved.

Reference Materials: Significance, General Requirements, and Demand.

PubMed

Kiełbasa, Anna; Gadzała-Kopciuch, Renata; Buszewski, Bogusław

2016-05-03

Reference materials play an important part in the quality control of measurements. Rapid development of such new scientific disciplines as proteomics, metabolomics, and genomics also necessitates development of new reference materials. This is a great challenge due to the complexity of the production of new reference materials and difficulties associated with achieving their homogeneity and stability. CRMs of tissue are of particular importance. They can be counted among the matrices that are most complex and time consuming in preparation. Tissue is the place of transformation and accumulation of many substances (e.g., metabolites, which are intermediate or end products resulting from metabolic processes). Trace amounts of many substances in tissues must be determined with adequate precision and accuracy. To meet the needs stemming from research and from problems and challenges faced by chemists, analysts, and toxicologists, the number of certified reference materials should be continuously increased.

A component-based software environment for visualizing large macromolecular assemblies.

PubMed

Sanner, Michel F

2005-03-01

The interactive visualization of large biological assemblies poses a number of challenging problems, including the development of multiresolution representations and new interaction methods for navigating and analyzing these complex systems. An additional challenge is the development of flexible software environments that will facilitate the integration and interoperation of computational models and techniques from a wide variety of scientific disciplines. In this paper, we present a component-based software development strategy centered on the high-level, object-oriented, interpretive programming language: Python. We present several software components, discuss their integration, and describe some of their features that are relevant to the visualization of large molecular assemblies. Several examples are given to illustrate the interoperation of these software components and the integration of structural data from a variety of experimental sources. These examples illustrate how combining visual programming with component-based software development facilitates the rapid prototyping of novel visualization tools.

A call to insect scientists: Challenges and opportunities of managing insect communities under climate change

USGS Publications Warehouse

Hellmann, Jessica J.; Grundel, Ralph; Hoving, Chris; Schuurman, Gregor W.

2016-01-01

As climate change moves insect systems into uncharted territory, more knowledge about insect dynamics and the factors that drive them could enable us to better manage and conserve insect communities. Climate change may also require us revisit insect management goals and strategies and lead to a new kind of scientific engagement in management decision-making. Here we make five key points about the role of insect science in aiding and crafting management decisions, and we illustrate those points with the monarch butterfly and the Karner blue butterfly, two species undergoing considerable change and facing new management dilemmas. Insect biology has a strong history of engagement in applied problems, and as the impacts of climate change increase, a reimagined ethic of entomology in service of broader society may emerge. We hope to motivate insect biologists to contribute time and effort toward solving the challenges of climate change.

New psychoactive substances: catalysing a shift in forensic science practice?

PubMed

Tettey, Justice; Crean, Conor

2015-08-05

The analysis of substances of abuse remains one of the most matured areas in forensic science with a strong scientific basis, namely analytical chemistry. The current evolving drug markets, characterized by the global emergence of new psychoactive substances (NPS) and the need for forensic scientists to identify an unprecedented and ever-increasing number of NPS, presents a unique challenge to this discipline. This article looks at the current situation with NPS at the global level, and the challenges posed to the otherwise technically robust forensic science discipline of analysis of substances of abuse. It discusses the preparedness of forensic science to deal with the current situation and identifies the need for a shift in forensic science practice, especially one which embraces research and looks beyond normal casework in order to provide the much needed data for developing effective policy responses to the NPS problem. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

An abridged photographic history of organ transplantation.

PubMed

Marino, Ignazio R; Cirillo, Claudia

2014-03-01

Organ transplantation is one of the most remarkable therapeutic advances in modern medicine; it started as an experiment and has become a life-saving practice. We briefly describe the major milestones of this multidisciplinary clinical science, the challenges that it still faces, and we consider the crucial contribution that its example could set for other medical fields. A review of the literature was conducted and a selection of images was made to complete a brief history of organ transplantation, with a particular focus on liver transplantation. The largest problem affecting organ transplantation today is the shortage of organs. Attention should be given to preserving the peculiar high ethical value that characterizes the very nature of organ transplantation. Methods successfully adopted by organ transplantation during the past 60 years can inspire promising fields, such as stem cell research, and provide useful tools to face the ethical challenges posed by scientific discoveries.

Transforming "Ecosystem" from a Scientific Concept into a Teachable Topic: Philosophy and History of Ecology Informs Science Textbook Analysis

ERIC Educational Resources Information Center

Schizas, Dimitrios; Papatheodorou, Efimia; Stamou, George

2018-01-01

This study conducts a textbook analysis in the frame of the following working hypothesis: The transformation of scientific knowledge into school knowledge is expected to reproduce the problems encountered with the scientific knowledge itself or generate additional problems, which may both induce misconceptions in textbook users. Specifically, we…

Challenges in studying the effects of scientific societies on research integrity.

PubMed

Levine, Felice J; Iutcovich, Joyce M

2003-04-01

Beyond impressionistic observations, little is known about the role and influence of scientific societies on research conduct. Acknowledging that the influence of scientific societies is not easily disentangled from other factors that shape norms and practices, this article addresses how best to study the promotion of research integrity generally as well as the role and impact of scientific societies as part of that process. In setting forth the parameters of a research agenda, the article addresses four issues: (1) how to conceptualize research on scientific societies and research integrity; (2) challenges and complexities in undertaking basic research; (3) strategies for undertaking basic research that is attentive to individual, situational, organizational, and environmental levels of analysis; and (4) the need for evaluation research as integral to programmatic change and to assessment of the impact of activities by scientific societies.

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.

The impact of the Daubert case on modern litigation.

PubMed

Mavroforou, Anna; Michalodimitrakis, Emmanuel

2008-12-01

Numerous product liability and toxic tort verdicts were arguably unjustly made on the basis of "junk science" threatening not only justice but the workings of the American economy. This problem was expected to be solved with the application of Daubert criteria, which require the courts to determine whether an expert's testimony reflects scientific knowledge, whether his/her findings are derived by the scientific method, and whether the work product is based on good science. Moreover, the Daubert criteria were expected to have an extraordinary impact on criminal litigation because there is rarely a criminal trial that does not rely on some form of expert testimony. However, there has been some debate on how such standards should be applied to cases involving relatively new product technologies, which only recently have been approved for a specific use, when an incident occurs and for which no published articles or other peer review summaries exist. Additionally, because most violent crimes are committed by the poor and their court appointed advocates, who are overworked and under-financed, are not up to the challenge. Therefore, with the Daubert standards for the admissibility of scientific evidence in the courts alone no significant improvement is expected. The presence of a system of effective representation in criminal cases along with efforts to educate judges and courts to understand ranges of scientific evidence and to recognise the reasonableness of scientific disagreements in civil and criminal cases are of paramount importance.

Theoretical and experimental fundamentals of designing promising technological equipment to improve efficiency and environmental safety of highly viscous oil recovery from deep oil reservoirs

NASA Astrophysics Data System (ADS)

Moiseyev, V. A.; Nazarov, V. P.; Zhuravlev, V. Y.; Zhuykov, D. A.; Kubrikov, M. V.; Klokotov, Y. N.

2016-12-01

The development of new technological equipment for the implementation of highly effective methods of recovering highly viscous oil from deep reservoirs is an important scientific and technical challenge. Thermal recovery methods are promising approaches to solving the problem. It is necessary to carry out theoretical and experimental research aimed at developing oil-well tubing (OWT) with composite heatinsulating coatings on the basis of basalt and glass fibers. We used the method of finite element analysis in Nastran software, which implements complex scientific and engineering calculations, including the calculation of the stress-strain state of mechanical systems, the solution of problems of heat transfer, the study of nonlinear static, the dynamic transient analysis of frequency characteristics, etc. As a result, we obtained a mathematical model of thermal conductivity which describes the steady-state temperature and changes in the fibrous highly porous material with the heat loss by Stefan-Boltzmann's radiation. It has been performed for the first time using the method of computer modeling in Nastran software environments. The results give grounds for further implementation of the real design of the OWT when implementing thermal methods for increasing the rates of oil production and mitigating environmental impacts.

Environmental Management Science Program Workshop. Proceedings

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

None

1998-07-01

The Department of Energy Office of Environmental Management (EM), in partnership with the Office of Energy Research (ER), designed, developed, and implemented the Environmental Management Science Program as a basic research effort to fund the scientific and engineering understanding required to solve the most challenging technical problems facing the government's largest, most complex environmental cleanup program. The intent of the Environmental Management Science Program is to: (1) Provide scientific knowledge that will revolutionize technologies and cleanup approaches to significantly reduce future costs, schedules, and risks. (2) Bridge the gap between broad fundamental research that has wide-ranging applications such as thatmore » performed in the Department's Office of Energy Research and needs-driven applied technology development that is conducted in Environmental Management's Office of Science and Technology. (3) Focus the nation's science infrastructure on critical Department of Energy environmental problems. In an effort to share information regarding basic research efforts being funded by the Environmental Management Science Program and the Environmental Management/Energy Research Pilot Collaborative Research Program (Wolf-Broido Program), this CD includes summaries for each project. These project summaries, available in portable document format (PDF), were prepared in the spring of 1998 by the principal investigators and provide information about their most recent project activities and accomplishments.« less

Toxic red tides and harmful algal blooms: A practical challenge in coastal oceanography

NASA Astrophysics Data System (ADS)

Anderson, Donald M.

1995-07-01

The debate over the relative value of practical or applied versus fundamental research has heated up considerably in recent years, and oceanography has not been spared this re-evaluation of science funding policy. Some federal agencies with marine interests have always focused their resources on practical problems, but those with a traditional commitment to basic research such as the National Science Foundation have increasingly had to fight to maintain their freedom to fund quality science without regard to practical or commercial applications. Within this context, it is instructive to highlight the extent to which certain scientific programs can satisfy both sides of this policy dilemma—i.e. address important societal issues through advances in fundamental or basic research. One clear oceanographic example of such a program involves the phenomena called "red tides" or "harmful algal blooms". This paper describes the nature and extent of the problems caused by these outbreaks, emphasizing the alarming expansion in their incidence and their impacts in recent years, both in the U.S. and worldwide. The objective is to highlight fundamental physical, biological, and chemical oceanographic question that must be addressed if we are to achieve the practical goal of scientifically based management of fisheries resources, public health, and ecosystem health in regions threatened by toxic and harmful algae.

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...

Challenges Faced by Teachers Implementing Socio-Scientific Issues as Core Elements in Their Classroom Practices

ERIC Educational Resources Information Center

Bossér, Ulrika; Lundin, Mattias; Lindahl, Mats; Linder, Cedric

2015-01-01

Teachers may face considerable challenges when implementing socio-scientific issues (SSI) in their classroom practices, such as incorporating student-centred teaching practices and exploring knowledge and values in the context of socioscientific issues. This year-long study explores teachers' reflections on the process of developing their…

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…

Harnessing the power of emerging petascale platforms

NASA Astrophysics Data System (ADS)

Mellor-Crummey, John

2007-07-01

As part of the US Department of Energy's Scientific Discovery through Advanced Computing (SciDAC-2) program, science teams are tackling problems that require computational simulation and modeling at the petascale. A grand challenge for computer science is to develop software technology that makes it easier to harness the power of these systems to aid scientific discovery. As part of its activities, the SciDAC-2 Center for Scalable Application Development Software (CScADS) is building open source software tools to support efficient scientific computing on the emerging leadership-class platforms. In this paper, we describe two tools for performance analysis and tuning that are being developed as part of CScADS: a tool for analyzing scalability and performance, and a tool for optimizing loop nests for better node performance. We motivate these tools by showing how they apply to S3D, a turbulent combustion code under development at Sandia National Laboratory. For S3D, our node performance analysis tool helped uncover several performance bottlenecks. Using our loop nest optimization tool, we transformed S3D's most costly loop nest to reduce execution time by a factor of 2.94 for a processor working on a 503 domain.

[Quantitative parameters to evaluate the publication of scientific papers].

PubMed

Petroianu, Andy

2003-01-01

The assessment of the publication of scientific works is a hard challenge when it is necessary to classify a curriculum vitae or even to verify the performance of an institution, such as a medical school, a postgraduate program or a research department. Most of time, the evaluation is based on personal feelings and experience, without established standard pattern. To present a guideline to evaluate the publications of scientific papers, without foreign influence. The guideline to assess the value of each publication is based on the multiplication of three factors. The first factor is the value of the author corresponding to his place among the authors in the authorship of the work. The second factor is the classification of the type of publication. Finally, the product of these two factors is multiplied by ten times the "impact factor" of the journal. When the "impact factor" is zero, 0.1 should substitute it. This method has been used by us since 1994, with good results and without any problem related to the judgment. This criterion prevents subjective interference. Conflicts of interest are avoided when clearly presented from the beginning of the judgment process.

Report on Automated Semantic Analysis of Scientific and Engineering Codes

NASA Technical Reports Server (NTRS)

Stewart. Maark E. M.; Follen, Greg (Technical Monitor)

2001-01-01

The loss of the Mars Climate Orbiter due to a software error reveals what insiders know: software development is difficult and risky because, in part, current practices do not readily handle the complex details of software. Yet, for scientific software development the MCO mishap represents the tip of the iceberg; few errors are so public, and many errors are avoided with a combination of expertise, care, and testing during development and modification. Further, this effort consumes valuable time and resources even when hardware costs and execution time continually decrease. Software development could use better tools! This lack of tools has motivated the semantic analysis work explained in this report. However, this work has a distinguishing emphasis; the tool focuses on automated recognition of the fundamental mathematical and physical meaning of scientific code. Further, its comprehension is measured by quantitatively evaluating overall recognition with practical codes. This emphasis is necessary if software errors-like the MCO error-are to be quickly and inexpensively avoided in the future. This report evaluates the progress made with this problem. It presents recommendations, describes the approach, the tool's status, the challenges, related research, and a development strategy.

The science of science: From the perspective of complex systems

NASA Astrophysics Data System (ADS)

Zeng, An; Shen, Zhesi; Zhou, Jianlin; Wu, Jinshan; Fan, Ying; Wang, Yougui; Stanley, H. Eugene

2017-11-01

The science of science (SOS) is a rapidly developing field which aims to understand, quantify and predict scientific research and the resulting outcomes. The problem is essentially related to almost all scientific disciplines and thus has attracted attention of scholars from different backgrounds. Progress on SOS will lead to better solutions for many challenging issues, ranging from the selection of candidate faculty members by a university to the development of research fields to which a country should give priority. While different measurements have been designed to evaluate the scientific impact of scholars, journals and academic institutions, the multiplex structure, dynamics and evolution mechanisms of the whole system have been much less studied until recently. In this article, we review the recent advances in SOS, aiming to cover the topics from empirical study, network analysis, mechanistic models, ranking, prediction, and many important related issues. The results summarized in this review significantly deepen our understanding of the underlying mechanisms and statistical rules governing the science system. Finally, we review the forefront of SOS research and point out the specific difficulties as they arise from different contexts, so as to stimulate further efforts in this emerging interdisciplinary field.

Ecosystem services: developing sustainable management paradigms based on wetland functions and processes

USGS Publications Warehouse

Euliss, Ned H.; Mushet, David M.; Smith, Loren M.; Conner, William H.; Burkett, Virginia R.; Wilcox, Douglas A.; Hester, Mark W.; Zheng, Haochi

2013-01-01

In the late nineteenth century and twentieth century, there was considerable interest and activity to develop the United States for agricultural, mining, and many other purposes to improve the quality of human life standards and prosperity. Most of the work to support this development was focused along disciplinary lines with little attention focused on ecosystem service trade-offs or synergisms, especially those that transcended boundaries of scientific disciplines and specific interest groups. Concurrently, human population size has increased substantially and its use of ecosystem services has increased more than five-fold over just the past century. Consequently, the contemporary landscape has been highly modified for human use, leaving behind a fragmented landscape where basic ecosystem functions and processes have been broadly altered. Over this period, climate change also interacted with other anthropogenic effects, resulting in modern environmental problems having a complexity that is without historical precedent. The challenge before the scientific community is to develop new science paradigms that integrate relevant scientific disciplines to properly frame and evaluate modern environmental problems in a systems-type approach to better inform the decision-making process. Wetland science is a relatively new discipline that grew out of the conservation movement of the early twentieth century. In the United States, most of the conservation attention in the earlier days was on wildlife, but a growing human awareness of the importance of the environment led to the passage of the National Environmental Policy Act in 1969. Concurrently, there was a broadening interest in conservation science, and the scientific study of wetlands gradually gained acceptance as a scientific discipline. Pioneering wetland scientists became formally organized when they formed The Society of Wetland Scientists in 1980 and established a publication outlet to share wetland research findings. In comparison to older and more traditional scientific disciplines, the wetland sciences may be better equipped to tackle today’s complex problems. Since its emergence as a scientific discipline, the study of wetlands has frequently required interdisciplinary and integrated approaches. This interdisciplinary/integrated approach is largely the result of the fact that wetlands cannot be studied in isolation of upland areas that contribute surface and subsurface water, solutes, sediments, and nutrients into wetland basins. However, challenges still remain in thoroughly integrating the wetland sciences with scientific disciplines involved in upland studies, especially those involved with agriculture, development, and other land-conversion activities that influence wetland hydrology, chemistry, and sedimentation. One way to facilitate this integration is to develop an understanding of how human activities affect wetland ecosystem services, especially the trade-offs and synergisms that occur when land-use changes are made. Used in this context, an understanding of the real costs of managing for a particular ecosystem service or groups of services can be determined and quantified in terms of reduced delivery of other services and in overall sustainability of the wetland and the landscapes that support them. In this chapter, we discuss some of the more salient aspects of a few common wetland types to give the reader some background on the diversity of functions that wetlands perform and the specific ecosystem services they provide to society. Wetlands are among the most complex ecosystems on the planet, and it is often difficult to communicate to a diverse public all of the positive services wetlands provide to mankind. Our goal is to help the reader develop an understanding that management options can be approached as societal choices where decisions can be made within a spatial and temporal context to identify trade-offs, synergies, and effects on long-term sustainability of wetland ecosystems. This will be especially relevant as we move into alternate climate futures where our portfolio of management options for mitigating damage to ecosystem function or detrimental cascading effects must be diverse and effective.

Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

PubMed Central

Wang, Hongzhi; Yushkevich, Paul A.

2013-01-01

Label fusion based multi-atlas segmentation has proven to be one of the most competitive techniques for medical image segmentation. This technique transfers segmentations from expert-labeled images, called atlases, to a novel image using deformable image registration. Errors produced by label transfer are further reduced by label fusion that combines the results produced by all atlases into a consensus solution. Among the proposed label fusion strategies, weighted voting with spatially varying weight distributions derived from atlas-target intensity similarity is a simple and highly effective label fusion technique. However, one limitation of most weighted voting methods is that the weights are computed independently for each atlas, without taking into account the fact that different atlases may produce similar label errors. To address this problem, we recently developed the joint label fusion technique and the corrective learning technique, which won the first place of the 2012 MICCAI Multi-Atlas Labeling Challenge and was one of the top performers in 2013 MICCAI Segmentation: Algorithms, Theory and Applications (SATA) challenge. To make our techniques more accessible to the scientific research community, we describe an Insight-Toolkit based open source implementation of our label fusion methods. Our implementation extends our methods to work with multi-modality imaging data and is more suitable for segmentation problems with multiple labels. We demonstrate the usage of our tools through applying them to the 2012 MICCAI Multi-Atlas Labeling Challenge brain image dataset and the 2013 SATA challenge canine leg image dataset. We report the best results on these two datasets so far. PMID:24319427

COOP+ project: Promoting the cooperation of international Research Infrastructures to address global environmental challenges.

NASA Astrophysics Data System (ADS)

Bonet-García, F.; Järvi, L.; Asmi, A.; Suárez-Muñoz, M.

2016-12-01

Humanity must face enormous environmental challenges including biodiversity decline, climate change, ocean acidification, sea level rise and overpopulation. The research infrastructures (RIs) created in the last decades worldwide cover a wide range of spatial and thematic scales and collect information about the functioning of Earth ecosystems. However, we need to go one step forward: understand and simulate the functioning of the Earth as a complex system in a global change scenario. Cooperation among international RIs as well as multidisciplinary work are mandatory to achieve this challenging objective. COOP+ (EU Horizon 2020 project) aims to strengthen the links and coordination of European environmental RIs with their international counterparts. COOP+ will create cooperation threads among international research infrastructures using environmental Global Challenges (GCs) as thematic guidelines. These GCs are polyhedral and sometimes wicked problems that threaten the sustainability of our modern societies from a social and environmental perspective. This contribution describes how COOP+ uses GCs as guidelines to foster cooperation among RIs. First we have created an open survey to collect ideas about GCs within the different scientific communities. We present the structure of this survey as well as the preliminary information that it contains. The survey will be accepting responses during the project life (September 2018). We also describe the structure of a template that will be used to collaboratively characterize some selected GCs under the point of view of RIs. The main idea is to assess how RIs can be useful to address global environmental problems. We encourage all scientists related to RIs communities to participate in this process.

Some Key Issues in Creating Inquiry-Based Instructional Practices that Aim at the Understanding of Simple Electric Circuits

NASA Astrophysics Data System (ADS)

Kock, Zeger-Jan; Taconis, Ruurd; Bolhuis, Sanneke; Gravemeijer, Koeno

2013-04-01

Many students in secondary schools consider the sciences difficult and unattractive. This applies to physics in particular, a subject in which students attempt to learn and understand numerous theoretical concepts, often without much success. A case in point is the understanding of the concepts current, voltage and resistance in simple electric circuits. In response to these problems, reform initiatives in education strive for a change of the classroom culture, putting emphasis on more authentic contexts and student activities containing elements of inquiry. The challenge then becomes choosing and combining these elements in such a manner that they foster an understanding of theoretical concepts. In this article we reflect on data collected and analyzed from a series of 12 grade 9 physics lessons on simple electric circuits. Drawing from a theoretical framework based on individual (conceptual change based) and socio-cultural views on learning, instruction was designed addressing known conceptual problems and attempting to create a physics (research) culture in the classroom. As the success of the lessons was limited, the focus of the study became to understand which inherent characteristics of inquiry based instruction complicate the process of constructing conceptual understanding. From the analysis of the data collected during the enactment of the lessons three tensions emerged: the tension between open inquiry and student guidance, the tension between students developing their own ideas and getting to know accepted scientific theories, and the tension between fostering scientific interest as part of a scientific research culture and the task oriented school culture. An outlook will be given on the implications for science lessons.

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.

The impact of a student-teacher-scientist partnership (STSP) on students' and teachers' content knowledge and attitudes toward science

NASA Astrophysics Data System (ADS)

Houseal, Ana K.

Engaging elementary students in science through inquiry-based methodologies is at the center of science education reform efforts (AAAS, 1989, NRC 1996, 2000). Through scientific problem solving, students can learn that science is more than just learning facts and concepts (NRC, 2000) The process of scientific inquiry, as a way of approaching scientific problem solving, can be taught to students through experiential, authentic (or real-world) science experiences. Student-teacher-scientist partnerships (STSPs) are one vehicle used to connect students to these science experiences with practicing research scientists. However, the literature on STSPs demonstrates they are fraught with challenges and very little is known of their effects on teachers' and students' content knowledge growth or changes in their attitudes about science and scientists. This study addressed these two areas by researching a particular STSP. The STSP, called Students, Teachers, and Rangers and Research Scientists (STaRRS), designed to be incorporated into the existing long-standing education program Expedition: Yellowstone! (E:Y!) was the focus of this study. For teachers, a pre-test, intervention, post-test research design addressing content knowledge gains, attitude changes, and pedagogical changes was used. A quasi-experimental pre- post-test design using treatment and comparison groups of students addressed content knowledge gains and attitude changes. Findings provided evidence of significant positive shifts in teachers' attitudes regarding science and scientists, and trends of shifting pedagogical choices made by teachers. Students showed significant content knowledge gains and an increased positive attitude regarding their perceptions of scientists.

Career paths of alumni of the Cornell Leadership Program for Veterinary Students

PubMed Central

Fraser, D. R.; McGregor, D. D.; Grohn, Y. T.

2014-01-01

The Cornell Leadership Program at Cornell University, USA, aims to assist talented veterinary students to embark on careers in research, academia, government agencies or industry. Over 400 students have participated since the Program began in 1990 and their subsequent careers have been followed. In this study, five sources of data were analysed: application documents of the participants; audio recordings of interviews with each participant from 2000 to 2007; annual tracking records of alumni after graduating with a veterinary degree; spontaneous comments from alumni about how the Program influenced their career plans; and a list of published scientific papers by alumni. Analysis revealed that about 50 per cent of veterinary graduates were establishing themselves in careers envisaged by the Program, although many of them experienced conflicts between a vocational commitment to clinical practice and a desire to solve problems through research. Many alumni asserted that the Program had influenced their career plans, but they had difficulty in accepting that rigorous scientific training was more important in acquiring research skills than working directly on a veterinary research problem. One career of great appeal to alumni was that of veterinary translational science, in which disease mechanisms are defined through fundamental research. It is concluded from the data that there are three challenging concepts for recently qualified veterinarians aiming to advance the knowledge of animal disease: research careers are satisfying and rewarding for veterinarians; a deep understanding of the chosen field of research is needed; and a high standard of scientific training is required to become an effective veterinary scientist. PMID:19103620

Addressing the Challenge of Molecular Change: An Interim Report

NASA Astrophysics Data System (ADS)

Levine, Raphael D.

2018-04-01

Invited by the editorial committee of the Annual Review of Physical Chemistry to "contribute my autobiography," I present it here, as I understand the term. It is about my parents, my mentors, my coworkers, and my friends in learning and the scientific problems that we tried to address. Courtesy of the editorial assistance of Annual Reviews, some of the science is in the figure captions and sidebars. I am by no means done: I am currently trying to fuse the quantitative rigor of physical chemistry with systems biology while also dealing with a post-Born-Oppenheimer regime in electronic dynamics and am attempting to instruct molecules to perform advanced logic.

Beyond the Renderer: Software Architecture for Parallel Graphics and Visualization

NASA Technical Reports Server (NTRS)

Crockett, Thomas W.

1996-01-01

As numerous implementations have demonstrated, software-based parallel rendering is an effective way to obtain the needed computational power for a variety of challenging applications in computer graphics and scientific visualization. To fully realize their potential, however, parallel renderers need to be integrated into a complete environment for generating, manipulating, and delivering visual data. We examine the structure and components of such an environment, including the programming and user interfaces, rendering engines, and image delivery systems. We consider some of the constraints imposed by real-world applications and discuss the problems and issues involved in bringing parallel rendering out of the lab and into production.

Addressing the Challenge of Molecular Change: An Interim Report.

PubMed

Levine, Raphael D

2018-04-20

Invited by the editorial committee of the Annual Review of Physical Chemistry to "contribute my autobiography," I present it here, as I understand the term. It is about my parents, my mentors, my coworkers, and my friends in learning and the scientific problems that we tried to address. Courtesy of the editorial assistance of Annual Reviews, some of the science is in the figure captions and sidebars. I am by no means done: I am currently trying to fuse the quantitative rigor of physical chemistry with systems biology while also dealing with a post-Born-Oppenheimer regime in electronic dynamics and am attempting to instruct molecules to perform advanced logic.

The Ulysses spacecraft control and monitoring concepts and realities

NASA Technical Reports Server (NTRS)

Hamer, Paul; Angold, Nigel

1993-01-01

Ulysses is a joint ESA-NASA mission, the primary purpose of the mission is to make scientific measurements of the Sun outside the plane of the ecliptic. The delay in launching Ulysses, due to the Challenger disaster, meant that the hardware on which the Spacecraft Control and Monitoring System (SCMS) resides was becoming obsolete, and it was decided to convert SCMS to run on a DEC/VAX machine under VMS. The paper will cover the spacecraft, the conversion, the converted SCMS, problems found, and the upgrades implemented for solutions. It will also discuss the future for and enhancements already made to the converted SCMS.

The Crisis in Scholarly Communication, Open Access, and Open Data Policies: The Libraries' Perspective

NASA Astrophysics Data System (ADS)

Besara, Rachel

2015-03-01

For years the cost of STEM databases have exceeded the rate of inflation. Libraries have reallocated funds for years to continue to provide support to their scientific communities, but they are reaching a point at many institutions where they are no longer able to provide access to many databases considered standard to support research. A possible or partial alleviation to this problem is the federal open access mandate. However, this shift challenges the current model of publishing and data management in the sciences. This talk will discuss these topics from the perspective of research libraries supporting physics and the STEM disciplines.

Gene doping: a review of performance-enhancing genetics.

PubMed

Gaffney, Gary R; Parisotto, Robin

2007-08-01

Unethical athletes and their mentors have long arrogated scientific and medical advances to enhance athletic performance, thus gaining a dishonest competitive advantage. Building on advances in genetics, a new threat arises from athletes using gene therapy techniques in the same manner that some abused performance-enhancing drugs were used. Gene doping, as this is known, may produce spectacular physiologic alterations to dramatically enhance athletic abilities or physical appearance. Furthermore, gene doping may present pernicious problems for the regulatory agencies and investigatory laboratories that are entrusted to keep sporting events fair and ethical. Performance-enhanced genetics will likewise present unique challenges to physicians in many spheres of their practice.

On the limitations of standard statistical modeling in biological systems: a full Bayesian approach for biology.

PubMed

Gomez-Ramirez, Jaime; Sanz, Ricardo

2013-09-01

One of the most important scientific challenges today is the quantitative and predictive understanding of biological function. Classical mathematical and computational approaches have been enormously successful in modeling inert matter, but they may be inadequate to address inherent features of biological systems. We address the conceptual and methodological obstacles that lie in the inverse problem in biological systems modeling. We introduce a full Bayesian approach (FBA), a theoretical framework to study biological function, in which probability distributions are conditional on biophysical information that physically resides in the biological system that is studied by the scientist. Copyright © 2013 Elsevier Ltd. All rights reserved.

Participatory Arts for Older Adults: A Review of Benefits and Challenges

PubMed Central

Noice, Tony; Noice, Helga; Kramer, Arthur F.

2014-01-01

This article reviews the scientific literature on the enhancement of healthy aging in older adults through active participation in the arts. Methodologies and conclusions are described for studies of dance, expressive writing, music (singing and instrumental), theatre arts, and visual arts including documentation of mental/physical improvements in memory, creativity, problem solving, everyday competence, reaction time, balance/gait, and quality of life. In addition to these gains in measures of successful aging, the article also provides (in a Supplementary Appendix) some selected examples of arts engagement for remedial purposes. Finally, it offers suggestions for expanding inquiry into this underinvestigated corner of aging research. PMID:24336875

VALUE: A trans-disciplinary research project - and some challenges in its implementation

NASA Astrophysics Data System (ADS)

Huebener, Heike

2013-04-01

The EU-COST-action VALUE ("Validating and Integrating Downscaling Methods for Climate Change Research") is composed as a trans-disciplinary network activity, meaning that stakeholders and end-users not only from different scientific disciplines (i.e. inter-disciplinary research) but also from outside science are included in the design, planning and progress of the project. This gives the optimal chance to produce really workable project results for the intended end-users. However, some considerable challenges lie this way. These challenges start with identifying and motivating the target-stakeholders, they cover communication in different user-specific languages and reach as far as the question of the freedom of research when under the prompting of politics or economy. We will cover only some of the mentioned challenges; focusing on the identification of the target-stakeholders or end-users, their motivation to participate in the project and on some typical problems arising in this constellation. First experiences from the project will be presented. The aim of the presentation is to instigate discussion on developing workable project structures for trans-disciplinary research, as this will become more and more relevant in future research funding.

SCIENTIFIC MANPOWER UTILIZATION, HEARINGS ON S. 430, AND S. 467, JANUARY 24-27, MARCH 29-30, 1967.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Labor and Public Welfare.

THE PURPOSE OF BILL S. 430, "SCIENTIFIC MANPOWER UTILIZATION ACT OF 1967," IS TO FACILITATE AND ENCOURAGE THE UTILIZATION OF THE SCIENTIFIC, ENGINEERING, AND TECHNICAL RESOURCES OF THE NATION IN MEETING URGENT NATIONAL AND LOCAL PROBLEMS BY PROMOTING THE APPLICATION OF SYSTEMS ANALYSIS AND SYSTEMS ENGINEERING TO PROBLEMS IN THE AREAS OF EDUCATION,…

Teaching Climate Change to Future Teachers Using 'Real' Data: Challenges and Opportunities (Invited)

NASA Astrophysics Data System (ADS)

Petcovic, H. L.; Barone, S.; Fulford, J.

2013-12-01

A climate-literate public is essential to resolving pressing problems related to global change. Future elementary teachers are a critical audience in climate and climate change education, as they will introduce children in early grades (USA grades K-8, children ages 5-14) to fundamentals of the climate system, natural and anthropogenic drivers of climate change, and impacts of global change on human and natural systems. Here we describe challenges we have encountered in teaching topics of the carbon cycle, greenhouse gases, past climate, recent anthropogenic change, and carbon footprints to future elementary teachers. We also describe how we have met (to varying degrees of success) these challenges in an introductory earth science course that is specifically designed for this audience. Two prominent challenges we have encountered are: the complex nature of the scientific content of climate change, and robust misconceptions held by our students about these topics. To address the first challenge, we attempt to adjust the scientific content to a level appropriate for future K-8 teachers, without sacrificing too much accuracy or critical detail. To address the second challenge, we explicitly discuss alternate conceptions of each topic. The use of authentic data sets can also address both of these challenges. Yet incorporating 'real' climate and paleoclimate data into the classroom poses still an additional challenge of instructional design. We use a variety of teaching approaches in our laboratory-based course including student-designed experiments, computer simulations, physical models, and authentic data sets. We have found that students strongly prefer the physical models and experiments, because these are 'hands-on' and perceived as easily adaptable to the K-8 classroom. Students often express dislike for activities that use authentic data sets (for example, an activity using graphs of CO2 and methane concentrations in Vostok ice cores), in particular because they have difficulty interpreting graphs. To respond to this concern, we couple physical models/experiments with data sets in a guided inquiry teaching format in order to satisfy those students who prefer 'hands-on' learning yet tie the models to the real world. Pre/post testing of students shows that this method is effective in most topics, yet future teachers still struggle with identifying natural versus anthropogenic drivers of climate change. We continue to address these challenges in future course modifications.

Data-proximate Visualization via Unidata Cloud Technologies

NASA Astrophysics Data System (ADS)

Fisher, W. I.; Oxelson Ganter, J.; Weber, J.

2016-12-01

The rise in cloud computing, coupled with the growth of "Big Data", has lead to a migration away from local scientific data storage. The increasing size of remote scientific data sets increase, however, makes it difficult for scientists to subject them to large-scale analysis and visualization. These large datasets can take an inordinate amount of time to download; subsetting is a potential solution, but subsetting services are not yet ubiquitous. Data providers may also pay steep prices, as many cloud providers meter data based on how much data leaves their cloud service.The solution to this problem is a deceptively simple one; move data analysis and visualization tools to the cloud, so that scientists may perform data-proximate analysis and visualization. This results in increased transfer speeds, while egress costs are lowered or completely eliminated. The challenge now becomes creating tools which are cloud-ready.The solution to this challenge is provided by Application Streaming. This technology allows a program to run entirely on a remote virtual machine while still allowing for interactivity and dynamic visualizations. When coupled with containerization technology such as Docker, we are able to easily deploy legacy analysis and visualization software to the cloud whilst retaining access via a desktop, netbook, a smartphone, or the next generation of hardware, whatever it may be.Unidata has harnessed Application Streaming to provide a cloud-capable version of our visualization software, the Integrated Data Viewer (IDV). This work will examine the challenges associated with adapting the IDV to an application streaming platform, and include a brief discussion of the underlying technologies involved.

Cloud-based data-proximate visualization and analysis

NASA Astrophysics Data System (ADS)

Fisher, Ward

2017-04-01

The rise in cloud computing, coupled with the growth of "Big Data", has lead to a migration away from local scientific data storage. The increasing size of remote scientific data sets increase, however, makes it difficult for scientists to subject them to large-scale analysis and visualization. These large datasets can take an inordinate amount of time to download; subsetting is a potential solution, but subsetting services are not yet ubiquitous. Data providers may also pay steep prices, as many cloud providers meter data based on how much data leaves their cloud service. The solution to this problem is a deceptively simple one; move data analysis and visualization tools to the cloud, so that scientists may perform data-proximate analysis and visualization. This results in increased transfer speeds, while egress costs are lowered or completely eliminated. The challenge now becomes creating tools which are cloud-ready. The solution to this challenge is provided by Application Streaming. This technology allows a program to run entirely on a remote virtual machine while still allowing for interactivity and dynamic visualizations. When coupled with containerization technology such as Docker, we are able to easily deploy legacy analysis and visualization software to the cloud whilst retaining access via a desktop, netbook, a smartphone, or the next generation of hardware, whatever it may be. Unidata has harnessed Application Streaming to provide a cloud-capable version of our visualization software, the Integrated Data Viewer (IDV). This work will examine the challenges associated with adapting the IDV to an application streaming platform, and include a brief discussion of the underlying technologies involved.

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.

The IS-GEO RCN: Fostering Collaborations for Intelligent Systems Research to Support Geosciences

NASA Astrophysics Data System (ADS)

Gil, Y.; Pierce, S. A.

2016-12-01

Geoscience problems are complex and often involve data that changes across space and time. Frequently geoscience knowledge and understanding provides valuable information and insight for problems related to energy, water, climate, mineral resources, and our understanding of how the Earth evolves through time. Simultaneously, many grand challenges in the geosciences cannot be addressed without the aid of computational support and innovations. Intelligent and Information Systems (IS) research includes a broad range of computational methods and topics such as knowledge representation, information integration, machine learning, robotics, adaptive sensors, and intelligent interfaces. IS research has a very important role to play in accelerating the speed of scientific discovery in geosciences and thus in solving challenges in geosciences. Many aspects of geosciences (GEO) research pose novel open problems for intelligent systems researchers. To develop intelligent systems with sound knowledge of theory and practice, it is important that GEO and IS experts collaborate. The EarthCube Research Coordination Network for Intelligent Systems for Geosciences (IS-GEO RCN) represents an emerging community of interdisciplinary researchers producing fundamental new capabilities for understanding Earth systems. Furthermore, the educational component aims to identify new approaches to teaching students in this new interdisciplinary area, seeking to raise a new generation of scientists that are better able to apply IS methods and tools to geoscience challenges of the future. By providing avenues for IS and GEO researchers to work together, the IS-GEO RCN will serve as both a point of contact, as well as an avenue for educational outreach across the disciplines for the nascent community of research and practice. The initial efforts are focused on connecting the communities in ways that help researchers understand opportunities and challenges that can benefit from IS-GEO collaborations. The IS-GEO RCN will jumpstart interdisciplinary research collaborations in this emerging new area so that progress across both disciplines can be accelerated.

Human connectome module pattern detection using a new multi-graph MinMax cut model.

PubMed

De, Wang; Wang, Yang; Nie, Feiping; Yan, Jingwen; Cai, Weidong; Saykin, Andrew J; Shen, Li; Huang, Heng

2014-01-01

Many recent scientific efforts have been devoted to constructing the human connectome using Diffusion Tensor Imaging (DTI) data for understanding the large-scale brain networks that underlie higher-level cognition in human. However, suitable computational network analysis tools are still lacking in human connectome research. To address this problem, we propose a novel multi-graph min-max cut model to detect the consistent network modules from the brain connectivity networks of all studied subjects. A new multi-graph MinMax cut model is introduced to solve this challenging computational neuroscience problem and the efficient optimization algorithm is derived. In the identified connectome module patterns, each network module shows similar connectivity patterns in all subjects, which potentially associate to specific brain functions shared by all subjects. We validate our method by analyzing the weighted fiber connectivity networks. The promising empirical results demonstrate the effectiveness of our method.

[Globalization, inequity and Chagas disease].

PubMed

Dias, João Carlos Pinto

2007-01-01

Chagas disease (American trypanosomiasis) bears a close relationship to multiple social and political aspects involving issues of globalization and inequity. Such relations concern the process of disease production and control in parallel with medical management. Despite the poverty in Latin America and various problems related to inequities and globalization, Chagas disease has been controlled in several areas, a fact that reinforces the countries' self-reliance. Several problems and challenges related to the disease can be expected in the future, mainly concerning medical care for already infected individuals and the sustainability of effective epidemiological surveillance. Both points depend heavily on improved performance by the national health systems, principally in terms of their efficiency and their capacity to overcome inequity. A particularly important role has been attributed to the Latin American scientific and academic community in the implementation and sustainability of efficient control policies. Control activities have now evolved towards internationally shared initiatives, a major new stride forward in the region's political context.

WeFold: A Coopetition for Protein Structure Prediction

PubMed Central

Khoury, George A.; Liwo, Adam; Khatib, Firas; Zhou, Hongyi; Chopra, Gaurav; Bacardit, Jaume; Bortot, Leandro O.; Faccioli, Rodrigo A.; Deng, Xin; He, Yi; Krupa, Pawel; Li, Jilong; Mozolewska, Magdalena A.; Sieradzan, Adam K.; Smadbeck, James; Wirecki, Tomasz; Cooper, Seth; Flatten, Jeff; Xu, Kefan; Baker, David; Cheng, Jianlin; Delbem, Alexandre C. B.; Floudas, Christodoulos A.; Keasar, Chen; Levitt, Michael; Popović, Zoran; Scheraga, Harold A.; Skolnick, Jeffrey; Crivelli, Silvia N.; Players, Foldit

2014-01-01

The protein structure prediction problem continues to elude scientists. Despite the introduction of many methods, only modest gains were made over the last decade for certain classes of prediction targets. To address this challenge, a social-media based worldwide collaborative effort, named WeFold, was undertaken by thirteen labs. During the collaboration, the labs were simultaneously competing with each other. Here, we present the first attempt at “coopetition” in scientific research applied to the protein structure prediction and refinement problems. The coopetition was possible by allowing the participating labs to contribute different components of their protein structure prediction pipelines and create new hybrid pipelines that they tested during CASP10. This manuscript describes both successes and areas needing improvement as identified throughout the first WeFold experiment and discusses the efforts that are underway to advance this initiative. A footprint of all contributions and structures are publicly accessible at http://www.wefold.org. PMID:24677212

Commentaries on “Informatics and Medicine: From Molecules to Populations”

PubMed Central

Altman, R. B.; Balling, R.; Brinkley, J. F.; Coiera, E.; Consorti, F.; Dhansay, M. A.; Geissbuhler, A.; Hersh, W.; Kwankam, S. Y.; Lorenzi, N. M.; Martin-Sanchez, F.; Mihalas, G. I.; Shahar, Y.; Takabayashi, K.; Wiederhold, G.

2009-01-01

Summary Objective To discuss interdisciplinary research and education in the context of informatics and medicine by commenting on the paper of Kuhn et al. “Informatics and Medicine: From Molecules to Populations”. Method Inviting an international group of experts in biomedical and health informatics and related disciplines to comment on this paper. Results and Conclusions The commentaries include a wide range of reasoned arguments and original position statements which, while strongly endorsing the educational needs identified by Kuhn et al., also point out fundamental challenges that are very specific to the unusual combination of scientific, technological, personal and social problems characterizing biomedical informatics. They point to the ultimate objectives of managing difficult human health problems, which are unlikely to yield to technological solutions alone. The psychological, societal, and environmental components of health and disease are emphasized by several of the commentators, setting the stage for further debate and constructive suggestions. PMID:18690363

Parallel volume ray-casting for unstructured-grid data on distributed-memory architectures

NASA Technical Reports Server (NTRS)

Ma, Kwan-Liu

1995-01-01

As computing technology continues to advance, computational modeling of scientific and engineering problems produces data of increasing complexity: large in size and unstructured in shape. Volume visualization of such data is a challenging problem. This paper proposes a distributed parallel solution that makes ray-casting volume rendering of unstructured-grid data practical. Both the data and the rendering process are distributed among processors. At each processor, ray-casting of local data is performed independent of the other processors. The global image composing processes, which require inter-processor communication, are overlapped with the local ray-casting processes to achieve maximum parallel efficiency. This algorithm differs from previous ones in four ways: it is completely distributed, less view-dependent, reasonably scalable, and flexible. Without using dynamic load balancing, test results on the Intel Paragon using from two to 128 processors show, on average, about 60% parallel efficiency.

PetIGA: A framework for high-performance isogeometric analysis

DOE PAGES

Dalcin, Lisandro; Collier, Nathaniel; Vignal, Philippe; ...

2016-05-25

We present PetIGA, a code framework to approximate the solution of partial differential equations using isogeometric analysis. PetIGA can be used to assemble matrices and vectors which come from a Galerkin weak form, discretized with Non-Uniform Rational B-spline basis functions. We base our framework on PETSc, a high-performance library for the scalable solution of partial differential equations, which simplifies the development of large-scale scientific codes, provides a rich environment for prototyping, and separates parallelism from algorithm choice. We describe the implementation of PetIGA, and exemplify its use by solving a model nonlinear problem. To illustrate the robustness and flexibility ofmore » PetIGA, we solve some challenging nonlinear partial differential equations that include problems in both solid and fluid mechanics. Lastly, we show strong scaling results on up to 4096 cores, which confirm the suitability of PetIGA for large scale simulations.« less

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.

Toward a Pragmatist Epistemology: Arthur O. Lovejoy's and H. S. Jennings's Biophilosophical Responses to Neovitalism, 1909-1914.

PubMed

Russell, Doug

2015-01-01

The sustained interdisciplinary debate about neovitalism between two Johns Hopkins University colleagues, philosopher Arthur O. Lovejoy and experimental geneticist H. S. Jennings, in the period 1911-1914, was the basis for their theoretical reconceptualization of scientific knowledge as contingent and necessarily incomplete in its account of nature. Their response to Hans Driesch's neovitalist concept of entelechy, and his challenge to the continuity between biology and the inorganic sciences, resulted in a historically significant articulation of genetics and philosophy. This study traces the debate's shift of problem-focus away from neovitalism's threat to the unity of science - "organic autonomy," as Lovejoy put it - and toward the potential for development of a nonmechanististic, nonrationalist theory of scientific knowledge. The result was a new pragmatist epistemology, based on Lovejoy's and Jennings's critiques of the inadequacy of pragmatism's account of scientific knowledge. The first intellectual move, drawing on naturalism and pragmatism, was based on a reinterpretation of science as organized experience. The second, sparked by Henri Bergson's theory of creative evolution, and drawing together elements of Dewey's and James's pragmatisms, produced a new account of the contingency and necessary incompleteness of scientific knowledge. Prompted by the neovitalists' mix of a priori concepts and, in Driesch's case, and adherence to empiricism, Lovejoy's and Jennings's developing pragmatist epistemologies of science explored the interrelation between rationalism and empiricism.

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.

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…

How Earth Educators Can Help Students Develop a Holistic Understanding of Sustainability

NASA Astrophysics Data System (ADS)

Curren, R. R.; Metzger, E. P.

2017-12-01

With their expert understanding of planetary systems, Earth educators play a pivotal role in helping students understand the scientific dimensions of solution-resistant ("wicked") challenges to sustainability that arise from complex interactions between intertwined and co-evolving natural and human systems. However, teaching the science of sustainability in isolation from consideration of human values and social dynamics leaves students with a fragmented understanding and obscures the underlying drivers of unsustainability. Geoscience instructors who wish to address sustainability in their courses may feel ill-equipped to engage students in investigation of the fundamental nature of sustainability and its social and ethical facets. This presentation will blend disciplinary perspectives from Earth system science, philosophy, psychology, and anthropology to: 1) outline a way to conceptualize sustainability that synthesizes scientific, social, and ethical perspectives and 2) provide an overview of resources and teaching strategies designed to help students connect science content to the socio-political dimensions of sustainability through activities and assignments that promote active learning, systems thinking, reflection, and collaborative problem-solving.

From Planetary Imaging to Enzyme Screening

NASA Technical Reports Server (NTRS)

2006-01-01

Based in San Diego, KAIROS Scientific develops molecular biology methods, instrumentation, and computer algorithms to create solutions to challenging problems in the medical and chemical industries. company s pioneering efforts in digital imaging spectroscopy (DIS) enable researchers to obtain spectral and/or time-dependent information for each pixel or group of pixels in a two-dimensional scene. In addition to having Yang s NASA experience at its foundation, KAIROS Scientific was established with the support of many government grants and contracts. Its first was a NASA Small Business Innovation Research (SBIR) grant, from Ames Research Center, to develop HIRIM, a high-resolution imaging microscope embodying both novel hardware and software that can be used to simultaneously acquire hundreds of individual absorbance spectra from microscopic features. Using HIRIM s graphical user interface, MicroDIS, scientists and engineers are presented with a revolutionary new tool which enables them to point to a feature in an image and recall its associated spectrum in real time.

Electronic astronomical information handling and flexible publishing.

NASA Astrophysics Data System (ADS)

Heck, A.

The current dramatic evolution in information technology is bringing major modifications in the way scientists work and communicate. The concept of electronic information handling encompasses the diverse types of information, the different media, as well as the various communication methodologies and technologies. It ranges from the very collection of data until the final publication of results and sharing of knowledge. New problems and challenges result also from the new information culture, especially on legal, ethical, and educational grounds. Electronic publishing will have to diverge from an electronic version of contributions on paper and will be part of a more general flexible-publishing policy. The benefits of private publishing are questioned. The procedures for validating published material and for evaluating scientific activities will have to be adjusted too. Provision of electronic refereed information independently from commercial publishers in now feasible. Scientists and scientific institutions have now the possibility to run an efficient information server with validated (refereed) material without the help of a commercial publishers.

[Academician Li Lianda talking about doctors doing scientific research].

PubMed

He, Ping; Li, Yi-kui

2015-09-01

At present, Chinese medical field faces with an important problem of how to correctly handle the relationship between medical and scientific research. Academician Li Lianda advocates doctors doing scientific research under the premise of putting the medical work first. He points out that there are many problems in the process of doctors doing scientific research at present such as paying more attention to scientific research than medical care, excessively promoting building scientific research hospital, only paying attention to training scientific talents, research direction be flashy without substance, the medical evaluation system should be improved and so on. Medical, scientific research and teaching are inseparable because improving medical standards depends on scientific research and personnel training. But not all doctors need to take into account of medical treatment, scientific research and teaching in the same degree while not all hospitals need to turn into three-in-one hospital, scientific research hospital or teaching hospital. It must be treated differently according to the actual situation.

Perceived Problem Solving Skills: As a Predictor of Prospective Teachers' Scientific Epistemological Beliefs

ERIC Educational Resources Information Center

Temel, Senar

2016-01-01

This study aims to determine the level of perceived problem solving skills of prospective teachers and the relations between these skills and their scientific epistemological beliefs. The study was conducted in the fall semester of 2015-2016 academic year. Prospective teachers were applied Problem Solving Inventory which was developed by Heppner…

The Feature of Scientific Explanation in the Teaching of Chemistry in the Environment of New Information of School Students' Developmental Education

ERIC Educational Resources Information Center

Gilmanshina, Suriya I.; Gilmanshin, Iskander R.; Sagitova, Rimma N.; Galeeva, Asiya I.

2016-01-01

The aim of this article is to disclose features of scientific explanation in teaching of chemistry in the environment of new information of school students' developmental education. The leading approach to the study of this problem is the information and environmental approach that comprehensively address the problem of scientific explanation in…

Authorized Course of Instruction for the Quinmester Program. Science: Scientific Approach to Solving Problems; Who's Who; and What in the World's Going On.

ERIC Educational Resources Information Center

Dade County Public Schools, Miami, FL.

Performance objectives are stated for each of the three secondary school units included in this package prepared for the Dade County Florida Quinmester Program. The units all concern some aspect of instruction in scientific method. "The Scientific Approach to Solving Problems" introduces students to the use of experimental testing of…

El problema de la barrera linguistica en el desarrollo cientifico y tecnologico (The Problem of the Language Barrier in Scientific and Technological Development).

ERIC Educational Resources Information Center

Zierer, Ernesto

This monograph discusses the problem of the language barrier in scientific and technological development in terms of several parameters describing the flow of scientific information from one language to another. The numerical values of the language barrier parameters of the model are calculated in the field of information on second language…

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.

The Grand Challenge of Basin-Scale Groundwater Quality Management Modelling

NASA Astrophysics Data System (ADS)

Fogg, G. E.

2017-12-01

The last 50+ years of agricultural, urban and industrial land and water use practices have accelerated the degradation of groundwater quality in the upper portions of many major aquifer systems upon which much of the world relies for water supply. In the deepest and most extensive systems (e.g., sedimentary basins) that typically have the largest groundwater production rates and hold fresh groundwaters on decadal to millennial time scales, most of the groundwater is not yet contaminated. Predicting the long-term future groundwater quality in such basins is a grand scientific challenge. Moreover, determining what changes in land and water use practices would avert future, irreversible degradation of these massive freshwater stores is a grand challenge both scientifically and societally. It is naïve to think that the problem can be solved by eliminating or reducing enough of the contaminant sources, for human exploitation of land and water resources will likely always result in some contamination. The key lies in both reducing the contaminant sources and more proactively managing recharge in terms of both quantity and quality, such that the net influx of contaminants is sufficiently moderate and appropriately distributed in space and time to reverse ongoing groundwater quality degradation. Just as sustainable groundwater quantity management is greatly facilitated with groundwater flow management models, sustainable groundwater quality management will require the use of groundwater quality management models. This is a new genre of hydrologic models do not yet exist, partly because of the lack of modeling tools and the supporting research to model non-reactive as well as reactive transport on large space and time scales. It is essential that the contaminant hydrogeology community, which has heretofore focused almost entirely on point-source plume-scale problems, direct it's efforts toward the development of process-based transport modeling tools and analyses capable of appropriately upscaling advection-dispersion and reactions at the basin scale (10^2 km). A road map for research and development in groundwater quality management modeling and its application toward securing future groundwater resources will be discussed.

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...

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...

Exploration on the reform of the science and engineering experiment teaching based on the combination with teaching and scientific research

NASA Astrophysics Data System (ADS)

Song, Peng

2017-08-01

The existing problems of the experiment education in colleges and universities are analyzed. Take the science and engineering specialty as example, the idea of the combination with teaching and scientific research is discussed. The key problems are how the scientific research and scientific research achievements are used effectively in the experiment education, how to effectively use scientific research laboratories and scientific researchers. Then, a specialty experiment education system is established which is good for the teaching in accordance of all students' aptitude. The research in this paper can give the construction of the experiment teaching methods and the experiment system reform for the science and engineering specialties in colleges and universities.

2009 ALCF annual report.

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

Beckman, P.; Martin, D.; Drugan, C.

2010-11-23

This year the Argonne Leadership Computing Facility (ALCF) delivered nearly 900 million core hours of science. The research conducted at their leadership class facility touched our lives in both minute and massive ways - whether it was studying the catalytic properties of gold nanoparticles, predicting protein structures, or unearthing the secrets of exploding stars. The authors remained true to their vision to act as the forefront computational center in extending science frontiers by solving pressing problems for our nation. Our success in this endeavor was due mainly to the Department of Energy's (DOE) INCITE (Innovative and Novel Computational Impact onmore » Theory and Experiment) program. The program awards significant amounts of computing time to computationally intensive, unclassified research projects that can make high-impact scientific advances. This year, DOE allocated 400 million hours of time to 28 research projects at the ALCF. Scientists from around the world conducted the research, representing such esteemed institutions as the Princeton Plasma Physics Laboratory, National Institute of Standards and Technology, and European Center for Research and Advanced Training in Scientific Computation. Argonne also provided Director's Discretionary allocations for research challenges, addressing such issues as reducing aerodynamic noise, critical for next-generation 'green' energy systems. Intrepid - the ALCF's 557-teraflops IBM Blue/Gene P supercomputer - enabled astounding scientific solutions and discoveries. Intrepid went into full production five months ahead of schedule. As a result, the ALCF nearly doubled the days of production computing available to the DOE Office of Science, INCITE awardees, and Argonne projects. One of the fastest supercomputers in the world for open science, the energy-efficient system uses about one-third as much electricity as a machine of comparable size built with more conventional parts. In October 2009, President Barack Obama recognized the excellence of the entire Blue Gene series by awarding it to the National Medal of Technology and Innovation. Other noteworthy achievements included the ALCF's collaboration with the National Energy Research Scientific Computing Center (NERSC) to examine cloud computing as a potential new computing paradigm for scientists. Named Magellan, the DOE-funded initiative will explore which science application programming models work well within the cloud, as well as evaluate the challenges that come with this new paradigm. The ALCF obtained approval for its next-generation machine, a 10-petaflops system to be delivered in 2012. This system will allow us to resolve ever more pressing problems, even more expeditiously through breakthrough science in the years to come.« less

Proceedings: Fourth Workshop on Mining Scientific Datasets

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

Kamath, C

Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratorymore » data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is matched only by the opportunities that await a practitioner.« less

Automation of multi-agent control for complex dynamic systems in heterogeneous computational network

NASA Astrophysics Data System (ADS)

Oparin, Gennady; Feoktistov, Alexander; Bogdanova, Vera; Sidorov, Ivan

2017-01-01

The rapid progress of high-performance computing entails new challenges related to solving large scientific problems for various subject domains in a heterogeneous distributed computing environment (e.g., a network, Grid system, or Cloud infrastructure). The specialists in the field of parallel and distributed computing give the special attention to a scalability of applications for problem solving. An effective management of the scalable application in the heterogeneous distributed computing environment is still a non-trivial issue. Control systems that operate in networks, especially relate to this issue. We propose a new approach to the multi-agent management for the scalable applications in the heterogeneous computational network. The fundamentals of our approach are the integrated use of conceptual programming, simulation modeling, network monitoring, multi-agent management, and service-oriented programming. We developed a special framework for an automation of the problem solving. Advantages of the proposed approach are demonstrated on the parametric synthesis example of the static linear regulator for complex dynamic systems. Benefits of the scalable application for solving this problem include automation of the multi-agent control for the systems in a parallel mode with various degrees of its detailed elaboration.

Case-based medical informatics

PubMed Central

Pantazi, Stefan V; Arocha, José F; Moehr, Jochen R

2004-01-01

Background The "applied" nature distinguishes applied sciences from theoretical sciences. To emphasize this distinction, we begin with a general, meta-level overview of the scientific endeavor. We introduce the knowledge spectrum and four interconnected modalities of knowledge. In addition to the traditional differentiation between implicit and explicit knowledge we outline the concepts of general and individual knowledge. We connect general knowledge with the "frame problem," a fundamental issue of artificial intelligence, and individual knowledge with another important paradigm of artificial intelligence, case-based reasoning, a method of individual knowledge processing that aims at solving new problems based on the solutions to similar past problems. We outline the fundamental differences between Medical Informatics and theoretical sciences and propose that Medical Informatics research should advance individual knowledge processing (case-based reasoning) and that natural language processing research is an important step towards this goal that may have ethical implications for patient-centered health medicine. Discussion We focus on fundamental aspects of decision-making, which connect human expertise with individual knowledge processing. We continue with a knowledge spectrum perspective on biomedical knowledge and conclude that case-based reasoning is the paradigm that can advance towards personalized healthcare and that can enable the education of patients and providers. We center the discussion on formal methods of knowledge representation around the frame problem. We propose a context-dependent view on the notion of "meaning" and advocate the need for case-based reasoning research and natural language processing. In the context of memory based knowledge processing, pattern recognition, comparison and analogy-making, we conclude that while humans seem to naturally support the case-based reasoning paradigm (memory of past experiences of problem-solving and powerful case matching mechanisms), technical solutions are challenging. Finally, we discuss the major challenges for a technical solution: case record comprehensiveness, organization of information on similarity principles, development of pattern recognition and solving ethical issues. Summary Medical Informatics is an applied science that should be committed to advancing patient-centered medicine through individual knowledge processing. Case-based reasoning is the technical solution that enables a continuous individual knowledge processing and could be applied providing that challenges and ethical issues arising are addressed appropriately. PMID:15533257

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...

Thermal Conductivity of Diamond Composites

PubMed Central

Kidalov, Sergey V.; Shakhov, Fedor M.

2009-01-01

A major problem challenging specialists in present-day materials sciences is the development of compact, cheap to fabricate heat sinks for electronic devices, primarily for computer processors, semiconductor lasers, high-power microchips, and electronics components. The materials currently used for heat sinks of such devices are aluminum and copper, with thermal conductivities of about 250 W/(m·K) and 400 W/(m·K), respectively. Significantly, the thermal expansion coefficient of metals differs markedly from those of the materials employed in semiconductor electronics (mostly silicon); one should add here the low electrical resistivity metals possess. By contrast, natural single-crystal diamond is known to feature the highest thermal conductivity of all the bulk materials studied thus far, as high as 2,200 W/(m·K). Needless to say, it cannot be applied in heat removal technology because of high cost. Recently, SiC- and AlN-based ceramics have started enjoying wide use as heat sink materials; the thermal conductivity of such composites, however, is inferior to that of metals by nearly a factor two. This prompts a challenging scientific problem to develop diamond-based composites with thermal characteristics superior to those of aluminum and copper, adjustable thermal expansion coefficient, low electrical conductivity and a moderate cost, below that of the natural single-crystal diamond. The present review addresses this problem and appraises the results reached by now in studying the possibility of developing composites in diamond-containing systems with a view of obtaining materials with a high thermal conductivity.

Computational ecology as an emerging science

PubMed Central

Petrovskii, Sergei; Petrovskaya, Natalia

2012-01-01

It has long been recognized that numerical modelling and computer simulations can be used as a powerful research tool to understand, and sometimes to predict, the tendencies and peculiarities in the dynamics of populations and ecosystems. It has been, however, much less appreciated that the context of modelling and simulations in ecology is essentially different from those that normally exist in other natural sciences. In our paper, we review the computational challenges arising in modern ecology in the spirit of computational mathematics, i.e. with our main focus on the choice and use of adequate numerical methods. Somewhat paradoxically, the complexity of ecological problems does not always require the use of complex computational methods. This paradox, however, can be easily resolved if we recall that application of sophisticated computational methods usually requires clear and unambiguous mathematical problem statement as well as clearly defined benchmark information for model validation. At the same time, many ecological problems still do not have mathematically accurate and unambiguous description, and available field data are often very noisy, and hence it can be hard to understand how the results of computations should be interpreted from the ecological viewpoint. In this scientific context, computational ecology has to deal with a new paradigm: conventional issues of numerical modelling such as convergence and stability become less important than the qualitative analysis that can be provided with the help of computational techniques. We discuss this paradigm by considering computational challenges arising in several specific ecological applications. PMID:23565336

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:…

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.

Synthetic consciousness: the distributed adaptive control perspective

PubMed Central

2016-01-01

Understanding the nature of consciousness is one of the grand outstanding scientific challenges. The fundamental methodological problem is how phenomenal first person experience can be accounted for in a third person verifiable form, while the conceptual challenge is to both define its function and physical realization. The distributed adaptive control theory of consciousness (DACtoc) proposes answers to these three challenges. The methodological challenge is answered relative to the hard problem and DACtoc proposes that it can be addressed using a convergent synthetic methodology using the analysis of synthetic biologically grounded agents, or quale parsing. DACtoc hypothesizes that consciousness in both its primary and secondary forms serves the ability to deal with the hidden states of the world and emerged during the Cambrian period, affording stable multi-agent environments to emerge. The process of consciousness is an autonomous virtualization memory, which serializes and unifies the parallel and subconscious simulations of the hidden states of the world that are largely due to other agents and the self with the objective to extract norms. These norms are in turn projected as value onto the parallel simulation and control systems that are driving action. This functional hypothesis is mapped onto the brainstem, midbrain and the thalamo-cortical and cortico-cortical systems and analysed with respect to our understanding of deficits of consciousness. Subsequently, some of the implications and predictions of DACtoc are outlined, in particular, the prediction that normative bootstrapping of conscious agents is predicated on an intentionality prior. In the view advanced here, human consciousness constitutes the ultimate evolutionary transition by allowing agents to become autonomous with respect to their evolutionary priors leading to a post-biological Anthropocene. This article is part of the themed issue ‘The major synthetic evolutionary transitions’. PMID:27431526

Synthetic consciousness: the distributed adaptive control perspective.

PubMed

Verschure, Paul F M J

2016-08-19

Understanding the nature of consciousness is one of the grand outstanding scientific challenges. The fundamental methodological problem is how phenomenal first person experience can be accounted for in a third person verifiable form, while the conceptual challenge is to both define its function and physical realization. The distributed adaptive control theory of consciousness (DACtoc) proposes answers to these three challenges. The methodological challenge is answered relative to the hard problem and DACtoc proposes that it can be addressed using a convergent synthetic methodology using the analysis of synthetic biologically grounded agents, or quale parsing. DACtoc hypothesizes that consciousness in both its primary and secondary forms serves the ability to deal with the hidden states of the world and emerged during the Cambrian period, affording stable multi-agent environments to emerge. The process of consciousness is an autonomous virtualization memory, which serializes and unifies the parallel and subconscious simulations of the hidden states of the world that are largely due to other agents and the self with the objective to extract norms. These norms are in turn projected as value onto the parallel simulation and control systems that are driving action. This functional hypothesis is mapped onto the brainstem, midbrain and the thalamo-cortical and cortico-cortical systems and analysed with respect to our understanding of deficits of consciousness. Subsequently, some of the implications and predictions of DACtoc are outlined, in particular, the prediction that normative bootstrapping of conscious agents is predicated on an intentionality prior. In the view advanced here, human consciousness constitutes the ultimate evolutionary transition by allowing agents to become autonomous with respect to their evolutionary priors leading to a post-biological Anthropocene.This article is part of the themed issue 'The major synthetic evolutionary transitions'. © 2016 The Author(s).

Using the crowd as an innovation partner.

PubMed

Boudreau, Kevin J; Lakhani, Karim R

2013-04-01

From Apple to Merck to Wikipedia, more and more organizations are turning to crowds for help in solving their most vexing innovation and research questions, but managers remain understandably cautious. It seems risky and even unnatural to push problems out to vast groups of strangers distributed around the world, particularly for companies built on a history of internal innovation. How can intellectual property be protected? How can a crowd-sourced solution be integrated into corporate operations? What about the costs? These concerns are all reasonable, the authors write, but excluding crowdsourcing from the corporate innovation tool kit means losing an opportunity. After a decade of study, they have identified when crowds tend to outperform internal organizations (or not). They outline four ways to tap into crowd-powered problem solving--contests, collaborative communities, complementors, and labor markets--and offer a system for picking the best one in a given situation. Contests, for example, are suited to highly challenging technical, analytical, and scientific problems; design problems; and creative or aesthetic projects. They are akin to running a series of independent experiments that generate multiple solutions--and if those solutions cluster at some extreme, a company can gain insight into where a problem's "technical frontier" lies. (Internal R&D may generate far less information.)

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…

Ethical and legal issues related to the donation and use of nonstandard organs for transplants.

PubMed

Cronin, Antonia J

2013-12-01

Transplantation of nonstandard or expanded criteria donor organs creates several potential ethical and legal problems in terms of consent and liability, and new challenges for research and service development; it highlights the need for a system of organ donation that responds to an evolving ethical landscape and incorporates scientific innovation to meet the needs of recipients, but which also safeguards the interests and autonomy of the donor. In this article, the use of deceased donor organs for transplants that fail to meet standard donor criteria and the legitimacy of interventions and research aimed at optimizing their successful donation are discussed. Copyright © 2013. Published by Elsevier Inc.

The Weather Forecast Using Data Mining Research Based on Cloud Computing.

NASA Astrophysics Data System (ADS)

Wang, ZhanJie; Mazharul Mujib, A. B. M.

2017-10-01

Weather forecasting has been an important application in meteorology and one of the most scientifically and technologically challenging problem around the world. In my study, we have analyzed the use of data mining techniques in forecasting weather. This paper proposes a modern method to develop a service oriented architecture for the weather information systems which forecast weather using these data mining techniques. This can be carried out by using Artificial Neural Network and Decision tree Algorithms and meteorological data collected in Specific time. Algorithm has presented the best results to generate classification rules for the mean weather variables. The results showed that these data mining techniques can be enough for weather forecasting.

Public health approaches to family maltreatment prevention: resetting family psychology's sights from the home to the community.

PubMed

Slep, Amy M Smith; Heyman, Richard E

2008-08-01

The authors review recent trends within the family maltreatment research field toward a public health approach, discuss the rationale for community-level interventions for family maltreatment, and sketch the history and development of community-level prevention approaches. Next, to illustrate the both the logistic and the scientific challenges of such work, the authors discuss the development and testing of an empirically guided, research-community partnership for the prevention of family maltreatment, the United States Air Force's NORTH STAR initiative (New Orientation to Reduce Threats to Health From Secretive Problems That Affect Readiness). Finally, recommendations are made for effective and disseminable family maltreatment prevention interventions.

[Review of transgenic crop breeding in China].

PubMed

Huang, Dafang

2015-06-01

The development history and fundamental experience of transgenic crops (Genetically modified crops) breeding in China for near 30 years were reviewed. It was illustrated that a scientific research, development and industrialization system of transgenic crops including gene discovery, transformation, variety breeding, commercialization, application and biosafety assessment has been initially established which was few in number in the world. The research innovative capacity of transgenic cotton, rice and corn has been lifted. The research features as well as relative advantages have been initially formed. The problems and challenges of transgenic crop development were discussed. In addition, three suggestions of promoting commercialization, speeding up implementation of the Major National Project of GM Crops, and enhancing science communication were made.

Electronic Publishing or Electronic Information Handling?

NASA Astrophysics Data System (ADS)

Heck, A.

The current dramatic evolution in information technology is bringing major modifications in the way scientists communicate. The concept of 'electronic publishing' is too restrictive and has often different, sometimes conflicting, interpretations. It is thus giving way to the broader notion of 'electronic information handling' encompassing the diverse types of information, the different media, as well as the various communication methodologies and technologies. New problems and challenges result also from this new information culture, especially on legal, ethical, and educational grounds. The procedures for validating 'published material' and for evaluating scientific activities will have to be adjusted too. 'Fluid' information is becoming a common concept. Electronic publishing cannot be conceived without link to knowledge bases nor without intelligent information retrieval tools.

A Multifaceted Mathematical Approach for Complex Systems

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

Alexander, F.; Anitescu, M.; Bell, J.

2012-03-07

Applied mathematics has an important role to play in developing the tools needed for the analysis, simulation, and optimization of complex problems. These efforts require the development of the mathematical foundations for scientific discovery, engineering design, and risk analysis based on a sound integrated approach for the understanding of complex systems. However, maximizing the impact of applied mathematics on these challenges requires a novel perspective on approaching the mathematical enterprise. Previous reports that have surveyed the DOE's research needs in applied mathematics have played a key role in defining research directions with the community. Although these reports have had significantmore » impact, accurately assessing current research needs requires an evaluation of today's challenges against the backdrop of recent advances in applied mathematics and computing. To address these needs, the DOE Applied Mathematics Program sponsored a Workshop for Mathematics for the Analysis, Simulation and Optimization of Complex Systems on September 13-14, 2011. The workshop had approximately 50 participants from both the national labs and academia. The goal of the workshop was to identify new research areas in applied mathematics that will complement and enhance the existing DOE ASCR Applied Mathematics Program efforts that are needed to address problems associated with complex systems. This report describes recommendations from the workshop and subsequent analysis of the workshop findings by the organizing committee.« less

Alternative Test Methods for Developmental Neurotoxicity: A ...

EPA Pesticide Factsheets

Exposure to environmental contaminants is well documented to adversely impact the development of the nervous system. However, the time, animal and resource intensive EPA and OECD testing guideline methods for developmental neurotoxicity (DNT) are not a viable solution to characterizing potential chemical hazards for the thousands of untested chemicals currently in commerce. Thus, research efforts over the past decade have endeavored to develop cost-effective alternative DNT testing methods. These efforts have begun to generate data that can inform regulatory decisions. Yet there are major challenges to both the acceptance and use of this data. Major scientific challenges for DNT include development of new methods and models that are “fit for purpose”, development of a decision-use framework, and regulatory acceptance of the methods. It is critical to understand that use of data from these methods will be driven mainly by the regulatory problems being addressed. Some problems may be addressed with limited datasets, while others may require data for large numbers of chemicals, or require the development and use of new biological and computational models. For example mechanistic information derived from in vitro DNT assays can be used to inform weight of evidence (WoE) or integrated approaches to testing and assessment (IATA) approaches for chemical-specific assessments. Alternatively, in vitro data can be used to prioritize (for further testing) the thousands

Computing through Scientific Abstractions in SysBioPS

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

Chin, George; Stephan, Eric G.; Gracio, Deborah K.

2004-10-13

Today, biologists and bioinformaticists have a tremendous amount of computational power at their disposal. With the availability of supercomputers, burgeoning scientific databases and digital libraries such as GenBank and PubMed, and pervasive computational environments such as the Grid, biologists have access to a wealth of computational capabilities and scientific data at hand. Yet, the rapid development of computational technologies has far exceeded the typical biologist’s ability to effectively apply the technology in their research. Computational sciences research and development efforts such as the Biology Workbench, BioSPICE (Biological Simulation Program for Intra-Cellular Evaluation), and BioCoRE (Biological Collaborative Research Environment) are importantmore » in connecting biologists and their scientific problems to computational infrastructures. On the Computational Cell Environment and Heuristic Entity-Relationship Building Environment projects at the Pacific Northwest National Laboratory, we are jointly developing a new breed of scientific problem solving environment called SysBioPSE that will allow biologists to access and apply computational resources in the scientific research context. In contrast to other computational science environments, SysBioPSE operates as an abstraction layer above a computational infrastructure. The goal of SysBioPSE is to allow biologists to apply computational resources in the context of the scientific problems they are addressing and the scientific perspectives from which they conduct their research. More specifically, SysBioPSE allows biologists to capture and represent scientific concepts and theories and experimental processes, and to link these views to scientific applications, data repositories, and computer systems.« less

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.

Nanomedicine: Problem Solving to Treat Cancer

ERIC Educational Resources Information Center

Hemling, Melissa A.; Sammel, Lauren M.; Zenner, Greta; Payne, Amy C.; Crone, Wendy C.

2006-01-01

Many traditional classroom science and technology activities often ask students to complete prepackaged labs that ensure that everyone arrives at the same "scientifically accurate" solution or theory, which ignores the important problem-solving and creative aspects of scientific research and technological design. Students rarely have the…

Pure science and the problem of progress.

PubMed

Douglas, Heather

2014-06-01

How should we understand scientific progress? Kuhn famously discussed science as its own internally driven venture, structured by paradigms. He also famously had a problem describing progress in science, as problem-solving ability failed to provide a clear rubric across paradigm change--paradigm changes tossed out problems as well as solving them. I argue here that much of Kuhn's inability to articulate a clear view of scientific progress stems from his focus on pure science and a neglect of applied science. I trace the history of the distinction between pure and applied science, showing how the distinction came about, the rhetorical uses to which the distinction has been put, and how pure science came to be both more valued by scientists and philosophers. I argue that the distinction between pure and applied science does not stand up to philosophical scrutiny, and that once we relinquish it, we can provide Kuhn with a clear sense of scientific progress. It is not one, though, that will ultimately prove acceptable. For that, societal evaluations of scientific work are needed.

Exploring Local Approaches to Communicating Global Climate Change Information

NASA Astrophysics Data System (ADS)

Stevermer, A. J.

2002-12-01

Expected future climate changes are often presented as a global problem, requiring a global solution. Although this statement is accurate, communicating climate change science and prospective solutions must begin at local levels, each with its own subset of complexities to be addressed. Scientific evaluation of local changes can be complicated by large variability occurring over small spatial scales; this variability hinders efforts both to analyze past local changes and to project future ones. The situation is further encumbered by challenges associated with scientific literacy in the U.S., as well as by pressing economic difficulties. For people facing real-life financial and other uncertainties, a projected ``1.4 to 5.8 degrees Celsius'' rise in global temperature is likely to remain only an abstract concept. Despite this lack of concreteness, recent surveys have found that most U.S. residents believe current global warming science, and an even greater number view the prospect of increased warming as at least a ``somewhat serious'' problem. People will often be able to speak of long-term climate changes in their area, whether observed changes in the amount of snow cover in winter, or in the duration of extreme heat periods in summer. This work will explore the benefits and difficulties of communicating climate change from a local, rather than global, perspective, and seek out possible strategies for making less abstract, more concrete, and most importantly, more understandable information available to the public.

Appreciation of the nature of light demands enhancement over the prevailing scientific epistemology

NASA Astrophysics Data System (ADS)

Roychoudhuri, Chandrasekhar

2011-09-01

Based on attempts to resolve the problem of various self contradictory assumptions behind the prevailing belief on single photon interference, we have analyzed the process steps behind our experimental measurements and named the process as the Interaction Process Mapping Epistemology (IPM-E). This has helped us recognize that the quantum mechanical Measurement Problem has a much universal and deeper root in nature. Our scientific theorization process suffers from a Perpetual Information Challenge (PIC), which cannot be overcome by elegant and/or sophisticated mathematical theories alone. Iterative imaginative application of IPM-E needs to be used as a metaphorical analytical continuation to fill up the missing information gaps. IPM-E has also guided us to recognize the generic NIW-principle (Non-Interaction of Waves) in the linear domain, not explicitly recognized in current books and literature. Superposition effects become manifest through light-matter interactions. Detecting dipoles gets stimulated by multiple superposed beams; it sums the simultaneous multiple stimulations into a single resultant undulation, which then guides the resultant energy exchange. The consequent transformation in the detector corresponds to observed fringes. They neither represent interference of light; nor represent selective arrival or non-arrival of photons on the detector. Photons do not possess any force of mutual interaction to generate their redistribution. Implementation of IPM-E requires us to recognize our subjective interpretation propensity with which we are burdened due to our evolutionary successes.

Snowflake: A Lightweight Portable Stencil DSL

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

Zhang, Nathan; Driscoll, Michael; Markley, Charles

Stencil computations are not well optimized by general-purpose production compilers and the increased use of multicore, manycore, and accelerator-based systems makes the optimization problem even more challenging. In this paper we present Snowflake, a Domain Specific Language (DSL) for stencils that uses a 'micro-compiler' approach, i.e., small, focused, domain-specific code generators. The approach is similar to that used in image processing stencils, but Snowflake handles the much more complex stencils that arise in scientific computing, including complex boundary conditions, higher-order operators (larger stencils), higher dimensions, variable coefficients, non-unit-stride iteration spaces, and multiple input or output meshes. Snowflake is embedded inmore » the Python language, allowing it to interoperate with popular scientific tools like SciPy and iPython; it also takes advantage of built-in Python libraries for powerful dependence analysis as part of a just-in-time compiler. We demonstrate the power of the Snowflake language and the micro-compiler approach with a complex scientific benchmark, HPGMG, that exercises the generality of stencil support in Snowflake. By generating OpenMP comparable to, and OpenCL within a factor of 2x of hand-optimized HPGMG, Snowflake demonstrates that a micro-compiler can support diverse processor architectures and is performance-competitive whilst preserving a high-level Python implementation.« less

Snowflake: A Lightweight Portable Stencil DSL

DOE PAGES

Zhang, Nathan; Driscoll, Michael; Markley, Charles; ...

2017-05-01

Stencil computations are not well optimized by general-purpose production compilers and the increased use of multicore, manycore, and accelerator-based systems makes the optimization problem even more challenging. In this paper we present Snowflake, a Domain Specific Language (DSL) for stencils that uses a 'micro-compiler' approach, i.e., small, focused, domain-specific code generators. The approach is similar to that used in image processing stencils, but Snowflake handles the much more complex stencils that arise in scientific computing, including complex boundary conditions, higher-order operators (larger stencils), higher dimensions, variable coefficients, non-unit-stride iteration spaces, and multiple input or output meshes. Snowflake is embedded inmore » the Python language, allowing it to interoperate with popular scientific tools like SciPy and iPython; it also takes advantage of built-in Python libraries for powerful dependence analysis as part of a just-in-time compiler. We demonstrate the power of the Snowflake language and the micro-compiler approach with a complex scientific benchmark, HPGMG, that exercises the generality of stencil support in Snowflake. By generating OpenMP comparable to, and OpenCL within a factor of 2x of hand-optimized HPGMG, Snowflake demonstrates that a micro-compiler can support diverse processor architectures and is performance-competitive whilst preserving a high-level Python implementation.« less

Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security.

PubMed

Amano, Tatsuya; Sutherland, William J

2013-04-07

Global biodiversity conservation is seriously challenged by gaps and heterogeneity in the geographical coverage of existing information. Nevertheless, the key barriers to the collection and compilation of biodiversity information at a global scale have yet to be identified. We show that wealth, language, geographical location and security each play an important role in explaining spatial variations in data availability in four different types of biodiversity databases. The number of records per square kilometre is high in countries with high per capita gross domestic product (GDP), high proportion of English speakers and high security levels, and those located close to the country hosting the database; but these are not necessarily countries with high biodiversity. These factors are considered to affect data availability by impeding either the activities of scientific research or active international communications. Our results demonstrate that efforts to solve environmental problems at a global scale will gain significantly by focusing scientific education, communication, research and collaboration in low-GDP countries with fewer English speakers and located far from Western countries that host the global databases; countries that have experienced conflict may also benefit. Findings of this study may be broadly applicable to other fields that require the compilation of scientific knowledge at a global level.

Cardiopulmonary resuscitation: a historical perspective leading up to the end of the 19th century.

PubMed

Ekmektzoglou, Konstantinos A; Johnson, Elizabeth O; Syros, Periklis; Chalkias, Athanasios; Kalambalikis, Lazaros; Xanthos, Theodoros

2012-01-01

Social laws and religious beliefs throughout history underscore the leaps and bounds that the science of resuscitation has achieved from ancient times until today. The effort to resuscitate victims goes back to ancient history, where death was considered a special form of sleep or an act of God. Biblical accounts of resuscitation attempts are numerous. Resuscitation in the Middle Ages was forbidden, but later during Renaissance, any prohibition against performing cardiopulmonary resuscitation (CPR) was challenged, which finally led to the Enlightenment, where scholars attempted to scientifically solve the problem of sudden death. It was then that the various components of CPR (ventilation, circulation, electricity, and organization of emergency medical services) began to take shape. The 19th century gave way to hallmarks both in the ventilatory support (intubation innovations and the artificial respirator) and the open-and closed chest circulatory support. Meanwhile, novel defibrillation techniques had been employed and ventricular fibrillation described. The groundbreaking discoveries of the 20th century finally led to the scientific framework of CPR. In 1960, mouth-to-mouth resuscitation was eventually combined with chest compression and defibrillation to become CPR as we now know it. This review presents the scientific milestones behind one of medicine's most widely used fields.

Laboratory directed research and development program, FY 1996

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

NONE

1997-02-01

The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) Laboratory Directed Research and Development Program FY 1996 report is compiled from annual reports submitted by principal investigators following the close of the fiscal year. This report describes the projects supported 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 Berkeley Lab LDRD program is a critical tool for directing the Laboratory`s forefront scientific research capabilities toward vital, excellent, and emerging scientific challenges. The program provides themore » resources for Berkeley Lab scientists to make rapid and significant contributions to critical national science and technology problems. The LDRD program also advances the Laboratory`s core competencies, foundations, and scientific capability, and permits exploration of exciting new opportunities. Areas eligible for support include: (1) Work in forefront areas of science and technology that enrich Laboratory research and development capability; (2) Advanced study of new hypotheses, new experiments, and innovative approaches to develop new concepts or knowledge; (3) Experiments directed toward proof of principle for initial hypothesis testing or verification; and (4) Conception and preliminary technical analysis to explore possible instrumentation, experimental facilities, or new devices.« less

Built To Last: Using Iterative Development Models for Sustainable Scientific Software Development

NASA Astrophysics Data System (ADS)

Jasiak, M. E.; Truslove, I.; Savoie, M.

2013-12-01

In scientific research, software development exists fundamentally for the results they create. The core research must take focus. It seems natural to researchers, driven by grant deadlines, that every dollar invested in software development should be used to push the boundaries of problem solving. This system of values is frequently misaligned with those of the software being created in a sustainable fashion; short-term optimizations create longer-term sustainability issues. The National Snow and Ice Data Center (NSIDC) has taken bold cultural steps in using agile and lean development and management methodologies to help its researchers meet critical deadlines, while building in the necessary support structure for the code to live far beyond its original milestones. Agile and lean software development and methodologies including Scrum, Kanban, Continuous Delivery and Test-Driven Development have seen widespread adoption within NSIDC. This focus on development methods is combined with an emphasis on explaining to researchers why these methods produce more desirable results for everyone, as well as promoting developers interacting with researchers. This presentation will describe NSIDC's current scientific software development model, how this addresses the short-term versus sustainability dichotomy, the lessons learned and successes realized by transitioning to this agile and lean-influenced model, and the current challenges faced by the organization.

Model-Based Knowing: How Do Students Ground Their Understanding About Climate Systems in Agent-Based Computer Models?

NASA Astrophysics Data System (ADS)

Markauskaite, Lina; Kelly, Nick; Jacobson, Michael J.

2017-12-01

This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do students ground their understanding about the phenomenon when they learn and solve problems with computer models? Second, what are common sources of mistakes in students' reasoning with computer models? Results show that students ground their understanding in computer models in five ways: direct observation, straight abstraction, generalisation, conceptualisation, and extension. Students also incorporate into their reasoning their knowledge and experiences that extend beyond phenomena represented in the models, such as attitudes about unsustainable carbon emission rates, human agency, external events, and the nature of computational models. The most common difficulties of the students relate to seeing the modelled scientific phenomenon and connecting results from the observations with other experiences and understandings about the phenomenon in the outside world. An important contribution of this study is the constructed coding scheme for establishing different ways of grounding, which helps to understand some challenges that students encounter when they learn about complex phenomena with agent-based computer models.

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.

Scientific Literacy: The Role of Goal-Directed Reading and Evaluation in Understanding Scientific Information

ERIC Educational Resources Information Center

Britt, M. Anne; Richter, Tobias; Rouet, Jean-François

2014-01-01

In this article, we examine the mental processes and representations that are required of laypersons when learning about science issues from texts. We begin by defining scientific literacy as the ability to understand and critically evaluate scientific content in order to achieve one's goals. We then present 3 challenges of learning from…

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...

Realism, Instrumentalism, and Scientific Symbiosis: Psychological Theory as a Search for Truth and the Discovery of Solutions

ERIC Educational Resources Information Center

Cacioppo, John T.; Semin, Gun R.; Berntson, Gary G.

2004-01-01

Scientific realism holds that scientific theories are approximations of universal truths about reality, whereas scientific instrumentalism posits that scientific theories are intellectual structures that provide adequate predictions of what is observed and useful frameworks for answering questions and solving problems in a given domain. These…

Exploring scientific creativity of eleventh-grade students in Taiwan

NASA Astrophysics Data System (ADS)

Liang, Jia-Chi

2002-04-01

Although most researchers focus on scientists' creativity, students' scientific creativity should be considered, especially for high school and college students. It is generally assumed that most professional creators in science emerge from amateur creators. Therefore, the purpose of this study is to investigate the relationship between students' scientific creativity and selected variables including creativity, problem finding, formulating hypotheses, science achievement, the nature of science, and attitudes toward science for finding significant predictors of eleventh grade students' scientific creativity. A total of 130 male eleventh-grade students in three biology classes participated in this study. The main instruments included the Test of Divergent Thinking (TDT) for creativity measurement, the Creativity Rating Scale (CRS) and the Creative Activities and Accomplishments Check Lists (CAACL ) for measurement of scientific creativity, the Nature of Scientific Knowledge Scale (NSKS) for measurement of the nature of science, and the Science Attitude Inventory II (SAI II) for measurement of attitudes toward science. In addition, two instruments on measuring students' abilities of problem finding and abilities of formulating hypotheses were developed by the researcher in this study. Data analysis involved descriptive statistics, Pearson product-moment correlations, and stepwise multiple regressions. The major findings suggested the following: (1) students' scientific creativity significantly correlated with some of selected variables such as attitudes toward science, problem finding, formulating hypotheses, the nature of science, resistance to closure, originality, and elaboration; (2) four significant predictors including attitudes toward science, problem finding, resistance to closure, and originality accounted for 48% of the variance of students' scientific creativity; (3) there were big differences between students with a higher and a lower degree of scientific creativity on the variables of family support, career images, and readings about science; and (4) many students were confused about the creative and moral levels on NSKS and the concept of "almighty of science" and purposes of science on SAI II. The results of this study may provide a more holistic and integrative interpretation of students' scientific creativity and propose better ways of evaluating students' scientific creativity. In addition, the research results may encourage teachers to view scientific creativity as an ability that can be enhanced through various means in classroom science teaching.

Adding intelligence to scientific data management

NASA Technical Reports Server (NTRS)

Campbell, William J.; Short, Nicholas M., Jr.; Treinish, Lloyd A.

1989-01-01

NASA plans to solve some of the problems of handling large-scale scientific data bases by turning to artificial intelligence (AI) are discussed. The growth of the information glut and the ways that AI can help alleviate the resulting problems are reviewed. The employment of the Intelligent User Interface prototype, where the user will generate his own natural language query with the assistance of the system, is examined. Spatial data management, scientific data visualization, and data fusion are discussed.

Workshops without Walls: Sharing Scientific Research through Educator Professional Development

NASA Astrophysics Data System (ADS)

Weir, H. M.; Edmonds, J. P.; Hallau, K.; Asplund, S. E.; Cobb, W. H.; Nittler, L. R.; Solomon, S. C.

2013-12-01

Scientific discoveries, large and small, are constantly being made. Whether it is the discovery of a new species or a new comet, it is a challenge to keep up. The media provide some assistance in getting the word out about the discoveries, but not the details or the challenges of the discovery. Professional development is essential for science educators to keep them abreast of the fascinating discoveries that are occurring. The problem is that not every educator has the opportunity to attend a workshop on the most recent findings. NASA's Discovery and New Frontiers Education and Public Outreach program has offered a series of multi-site professional development workshops that have taken place at four physical locations sites: The Johns Hopkins University Applied Physics Laboratory, the Jet Propulsion Laboratory, NASA Johnson Space Center, and the University of Arizona, as well as over the internet. All sites were linked via the Digital Learning Network, on which scientists and educator specialists shared information about their missions and activities. Participants interacted with speakers across the country to learn about Discovery and New Frontiers class missions. The third such annual workshop without walls, 'Challenge of Discovery,' was held on 9 April 2013. Educators from across the country delved into the stories behind some amazing NASA missions, from conception to science results. They learned how scientists, engineers, and mission operators collaborate to meet the challenges of complex missions to assure that science goals are met. As an example of science and engineering coming together, an Instrument Scientist and a Payload Operations Manager from the MESSENGER mission discussed the steps needed to observe Mercury's north polar region, gather data, and finally come to the conclusion that water ice is present in permanently shadowed areas inside polar impact craters. The participating educators were able to work with actual data and experience how the conclusion was reached. This example and others highlight the potential of such workshops to inform and engage educators.

Critical Realism and Empirical Bioethics: A Methodological Exposition.

PubMed

McKeown, Alex

2017-09-01

This paper shows how critical realism can be used to integrate empirical data and philosophical analysis within 'empirical bioethics'. The term empirical bioethics, whilst appearing oxymoronic, simply refers to an interdisciplinary approach to the resolution of practical ethical issues within the biological and life sciences, integrating social scientific, empirical data with philosophical analysis. It seeks to achieve a balanced form of ethical deliberation that is both logically rigorous and sensitive to context, to generate normative conclusions that are practically applicable to the problem, challenge, or dilemma. Since it incorporates both philosophical and social scientific components, empirical bioethics is a field that is consistent with the use of critical realism as a research methodology. The integration of philosophical and social scientific approaches to ethics has been beset with difficulties, not least because of the irreducibly normative, rather than descriptive, nature of ethical analysis and the contested relation between fact and value. However, given that facts about states of affairs inform potential courses of action and their consequences, there is a need to overcome these difficulties and successfully integrate data with theory. Previous approaches have been formulated to overcome obstacles in combining philosophical and social scientific perspectives in bioethical analysis; however each has shortcomings. As a mature interdisciplinary approach critical realism is well suited to empirical bioethics, although it has hitherto not been widely used. Here I show how it can be applied to this kind of research and explain how it represents an improvement on previous approaches.

The Lenfest Ocean Program's experience in building institutional support for connecting science and decision-making in marine systems

NASA Astrophysics Data System (ADS)

Bednarek, A.; Close, S.; Curran, K.; Hudson, C.

2017-12-01

Addressing contemporary sustainability challenges requires attention to the integration of scientific knowledge into decision-making and deliberation. However, this remains a challenge in practice. We contend that careful stewardship of this process of integration can result in positive, durable outcomes by reconciling the production and use of scientific knowledge, and improve its relevance and utility to decision-makers. We will share lessons learned from a grantmaking program that has addressed this challenge through programmatic innovations, including by supporting staff devoted to an intermediary role. Over the past 13 years, the Lenfest Ocean Program served in a boundary spanning role by integrating decision-makers into the scoping and outreach of program supported scientific research grants. Program staff engage with decision-makers and influencers to identify policy-relevant research questions and approaches, ensuring that the research direction addresses users' needs. As research progresses, the staff monitor the grant's progress to improve the match between the research and user needs. The process is resource-intensive, however, and raises interesting questions about the role and development of this kind of specialist within different kinds of institutions, including funding agencies. We suggest that nurturing this role as a practice and profession could ultimately help the scientific community more efficiently respond to sustainability challenges.

Conceptual and methodological issues in research on mindfulness and meditation.

PubMed

Davidson, Richard J; Kaszniak, Alfred W

2015-10-01

Both basic science and clinical research on mindfulness, meditation, and related constructs have dramatically increased in recent years. However, interpretation of these research results has been challenging. The present article addresses unique conceptual and methodological problems posed by research in this area. Included among the key topics is the role of first-person experience and how it can be best studied, the challenges posed by intervention research designs in which true double-blinding is not possible, the nature of control and comparison conditions for research that includes mindfulness or other meditation-based interventions, issues in the adequate description of mindfulness and related trainings and interventions, the question of how mindfulness can be measured, questions regarding what can and cannot be inferred from self-report measures, and considerations regarding the structure of study design and data analyses. Most of these topics are germane to both basic and clinical research studies and have important bearing on the future scientific understanding of mindfulness and meditation. (c) 2015 APA, all rights reserved).

Recent Discoveries and Future Challenges in Atmospheric Organic Chemistry.

PubMed

Glasius, Marianne; Goldstein, Allen H

2016-03-15

Earth's atmosphere contains a multitude of organic compounds, which differ by orders of magnitude regarding fundamental properties such as volatility, reactivity, and propensity to form cloud droplets, affecting their impact on global climate and human health. Despite recent major research efforts and advances, there are still substantial gaps in understanding of atmospheric organic chemistry, hampering efforts to understand, model, and mitigate environmental problems such as aerosol formation in both polluted urban and more pristine regions. The analytical toolbox available for chemists to study atmospheric organic components has expanded considerably during the past decade, opening new windows into speciation, time resolution and detection of reactive and semivolatile compounds at low concentrations. This has provided unprecedented opportunities, but also unveiled new scientific challenges. Specific groundbreaking examples include the role of epoxides in aerosol formation especially from isoprene, the importance of highly oxidized, reactive organics in air-surface processes (whether atmosphere-biosphere exchange or aerosols), as well as the extent of interactions of anthropogenic and biogenic emissions and the resulting impact on atmospheric organic chemistry.

Conceptual and Methodological Issues in Research on Mindfulness and Meditation

PubMed Central

Davidson, Richard J.; Kaszniak, Alfred W.

2015-01-01

Both basic science and clinical research on mindfulness, meditation, and related constructs has dramatically increased in recent years. However, interpretation of these research results has been challenging. The present article addresses unique conceptual and methodological problems posed by research in this area. Included among the key topics is the role of first person experience and how it can be best studied; the challenges posed by intervention research designs in which true double-blinding is not possible; the nature of control and comparison conditions for research that includes mindfulness or other meditation-based interventions; issues in the adequate description of mindfulness and related trainings and interventions; the question of how mindfulness can be measured; questions regarding what can and cannot be inferred from self-report measures; and considerations regarding the structure of study design and data analyses. Most of these topics are germane to both basic and clinical research studies and have important bearing on the future scientific understanding of mindfulness and meditation. PMID:26436310

Chemical mapping and quantification at the atomic scale by scanning transmission electron microscopy.

PubMed

Chu, Ming-Wen; Chen, Cheng Hsuan

2013-06-25

With innovative modern material-growth methods, a broad spectrum of fascinating materials with reduced dimensions-ranging from single-atom catalysts, nanoplasmonic and nanophotonic materials to two-dimensional heterostructural interfaces-is continually emerging and extending the new frontiers of materials research. A persistent central challenge in this grand scientific context has been the detailed characterization of the individual objects in these materials with the highest spatial resolution, a problem prompting the need for experimental techniques that integrate both microscopic and spectroscopic capabilities. To date, several representative microscopy-spectroscopy combinations have become available, such as scanning tunneling microscopy, tip-enhanced scanning optical microscopy, atom probe tomography, scanning transmission X-ray microscopy, and scanning transmission electron microscopy (STEM). Among these tools, STEM boasts unique chemical and electronic sensitivity at unparalleled resolution. In this Perspective, we elucidate the advances in STEM and chemical mapping applications at the atomic scale by energy-dispersive X-ray spectroscopy and electron energy loss spectroscopy with a focus on the ultimate challenge of chemical quantification with atomic accuracy.

[The Development of Social Innovations in Health Care and the Role of Science and Research].

PubMed

Richter, Stefanie

2017-12-01

In the course of demographic, epidemiological and social changes, various challenges arise concerning the organization of health care and health promotion for the population. Innovative approaches are needed to face these challenges. The focus in the theoretical work is on the analysis of the development of social innovations and on the role of science and research to solve social problems. First of all, the notion of innovation based on technologies will be expanded by social innovations. 2 approaches to promote social innovations are discussed: the systematic discovery and development of solutions in practice as well as the co-productive development in the terms of transdisciplinary research. It will be demonstrated that a cooperative and co-productive research and development process brings new requirements regarding scientific practice so that a discussion about the organisation and general conditions of transdisciplinary research and development in the health (service) research has to be strengthened. © Georg Thieme Verlag KG Stuttgart · New York.

Perceptual awareness and its neural basis: bridging experimental and theoretical paradigms

PubMed Central

Raffone, Antonino; Srinivasan, Narayanan; van Leeuwen, Cees

2014-01-01

Understanding consciousness is a major scientific challenge of our times, and perceptual awareness is an integral part of that challenge. This Theme Issue aims to provide a timely focus on crucial insights from leading scientists on perceptual awareness and its neural basis. The issue refers to key research questions and findings in perceptual awareness research and aims to be a catalyst for further research, by bringing together the state-of-the-art. It shows how bridges are being built between empirical and theoretical research and proposes new directions for the study of multisensory awareness and the role of the states of the body therein. In this introduction, we highlight crucial problems that have characterized the development of the study of perceptual awareness. We then provide an overview of major experimental and theoretical paradigms related to perceptual awareness and its neural basis. Finally, we present an overview of the Theme Issue, with reference to the contributed articles and their relationships. PMID:24639576

AGU, Science and Engagement with the Energy Industry

NASA Astrophysics Data System (ADS)

Leinen, M.; Davidson, E. A.

2016-12-01

The relationship between science and society evolves over time and the social, political, and economic factors shaping this relationship are complex. When problems facing society become more challenging, the public, NGOs, and policy makers call for science to more directly inform solutions, to assure accountability for the use of funds and to address conflicts of interest. But when policy solutions for such challenges require significant economic and societal tradeoffs, discussion of the science can become polarized and politicized. When this occurs, AGU's policies that uphold the highest standards of scientific integrity, address conflicts of interests and promote independence for members are even more important. These policies are implemented through processes for: a) control of science presented at meeting and in publications; b) requirements for data cited in publications to be publicly accessible, and c) an organizational support policy that prohibits sponsors from influencing science presented in AGU programs. The private sector wields vast influence on human behavior and governmental policy through commerce and lobbying. These actions can be controversial when the profit motive appears incongruent with other societal opinions of what is in the public interest. Climate change is an example of this tension, where the economic exploitation of fossil fuels has complex effects on food and energy security as well as on the environment. Nonetheless, the AGU Board unanimously agreed that given our mission to advance science to create a more sustainable earth, engagement of the private sector rather than disengagement is the best way to influence decision makers on all sides because we believe that the private sector needs to be part of any solutions. We plan to use our convening power and scientific authority to bring together diverse views on climate change solutions from the private, NGO, policy, decision-maker and scientific sectors to begin a substantial, responsible and on-going dialogue. We want this dialogue to inform issues of energy, environment, security and the associated economic and societal benefits and tradeoffs in addressing climate change. AGU will share our initial ideas for convening such engagement and in the future will inform our membership on the successes and the on-going challenges.

Designing Epistemologically Correct Science Narratives

ERIC Educational Resources Information Center

Sachin, Datt; Poovaiah, Ravi

2012-01-01

In recent years use of narratives for teaching science at secondary school level has gained impetus. This paper deals with the problem of designing narratives for teaching scientific concept. The central issue of the problem of designing narratives for carrying scientific information is that science belongs to the domain of objective observation…

Problems of Simultaneous Interpreting of Scientific Discussion.

ERIC Educational Resources Information Center

Chachibaia, Nelly

This article focuses on the problems of simultaneous translation (SI) of scientific discussion at the Conference on Training Translators and Interpreters in the New Millennium, the development of which greatly depends on extralinguistic, external conference conditions. Text linguistics considers text not only as a grammatical unit larger than a…

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…

Research Prototype: Automated Analysis of Scientific and Engineering Semantics

NASA Technical Reports Server (NTRS)

Stewart, Mark E. M.; Follen, Greg (Technical Monitor)

2001-01-01

Physical and mathematical formulae and concepts are fundamental elements of scientific and engineering software. These classical equations and methods are time tested, universally accepted, and relatively unambiguous. The existence of this classical ontology suggests an ideal problem for automated comprehension. This problem is further motivated by the pervasive use of scientific code and high code development costs. To investigate code comprehension in this classical knowledge domain, a research prototype has been developed. The prototype incorporates scientific domain knowledge to recognize code properties (including units, physical, and mathematical quantity). Also, the procedure implements programming language semantics to propagate these properties through the code. This prototype's ability to elucidate code and detect errors will be demonstrated with state of the art scientific codes.

Hypothesis testing of scientific Monte Carlo calculations.

PubMed

Wallerberger, Markus; Gull, Emanuel

2017-11-01

The steadily increasing size of scientific Monte Carlo simulations and the desire for robust, correct, and reproducible results necessitates rigorous testing procedures for scientific simulations in order to detect numerical problems and programming bugs. However, the testing paradigms developed for deterministic algorithms have proven to be ill suited for stochastic algorithms. In this paper we demonstrate explicitly how the technique of statistical hypothesis testing, which is in wide use in other fields of science, can be used to devise automatic and reliable tests for Monte Carlo methods, and we show that these tests are able to detect some of the common problems encountered in stochastic scientific simulations. We argue that hypothesis testing should become part of the standard testing toolkit for scientific simulations.

Hypothesis testing of scientific Monte Carlo calculations

NASA Astrophysics Data System (ADS)

Wallerberger, Markus; Gull, Emanuel

2017-11-01

The steadily increasing size of scientific Monte Carlo simulations and the desire for robust, correct, and reproducible results necessitates rigorous testing procedures for scientific simulations in order to detect numerical problems and programming bugs. However, the testing paradigms developed for deterministic algorithms have proven to be ill suited for stochastic algorithms. In this paper we demonstrate explicitly how the technique of statistical hypothesis testing, which is in wide use in other fields of science, can be used to devise automatic and reliable tests for Monte Carlo methods, and we show that these tests are able to detect some of the common problems encountered in stochastic scientific simulations. We argue that hypothesis testing should become part of the standard testing toolkit for scientific simulations.

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.

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.

Co-Producing Accessible Climate Knowledge: Case Study of a Scientific Challenge

NASA Astrophysics Data System (ADS)

Bourqui, M.; Charriere, M. K. M.; Bolduc, C.

2016-12-01

This talk presents the process of and the lessons learned from a scientific challenge where climate scientists re-framed their research for the general public in interaction with members of the general public. This challenge was organized by Climanosco in the context of its launch in the fall 2015 and is due to end in September 2016. It led to the publication of 11 articles from scientific authors spanning 7 countries and engaged the participation of 24 members of the general public. The process of interaction between scientists and members of the general public took place along an extended peer-review process which included on-line community discussions and non-scientific review reports. Details of this interaction, as perceived by the participants and evaluated by a survey, will be discussed in this talk. On the longer term this co-production of accessible climate knowledge, which represents the main goal of the non-profit association Climanosco, is meant to serve as a reliable, research-based source, the decision makers but also the journalists, teachers and communities around the world.

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.

Using the history of research on sickle-cell anemia to affect preservice teachers' conceptions of the nature of science

NASA Astrophysics Data System (ADS)

Howe, Eric M.

Preservice elementary teachers enrolled in an elective biology course participated in an eight-class unit of instruction based on the history of research in understanding the disease sickle-cell anemia. Students were introduced to the disease as a "mystery" for them to solve, and subsequently developed an understanding of the disease from several disciplines in biology (e.g., genetics, ecology, evolution, molecular biology). The unit involved open-ended problems in which students examined evidence and developed explanations in a manner analogous to the reasoning used by Anthony C. Allison and his colleagues during the early to middle part of the twentieth century. Throughout the unit, students were challenged to explicitly and reflectively connect their work with the historical material to more general conclusions about aspects of the nature of science. These aspects included (a) the nature of scientific theories, (b) the tentative nature of science, (c) the difference between scientific theories and laws, (d) the validity of observational methods in science, and (e) the subjective (theory-laden) nature of science. The research measured students' pre- and post-instruction views by using both an open-ended survey (VNOS) and follow-up, semi-structured interviews. The results indicated that an appreciable number of students underwent a change or enrichment in their views for some of the nature of science aspects. Moreover, change or enrichment in students' views was directly attributable to their work in the sickle-cell unit as evidenced from the specific examples students articulated in their post-instruction responses in support of their more informed views. In general, the findings of this research lend empirical support to the value of having students actively recapitulate the history of science to improve their nature of science conceptions. This is facilitated when the lessons challenge students to explicitly and reflectively develop views of the nature of science in tandem with their examinations of the problems taken from the history of science.

Scientific Publishing and the Data Deluge (Invited)

NASA Astrophysics Data System (ADS)

Hanson, B.

2010-12-01

The ability to collect and analyze huge data sets is changing and revolutionizing many aspects of science, including scientific publishing. Policies and practices with respect to data management and archiving have been evolving at journals, but many outstanding problems and challenges have emerged and some are growing. Journals have an evolving mission including a traditional role in advancing science and an increasingly important role of accrediting peer-reviewed research used in public policy and the legal and regulatory systems. Publishing is increasingly responsible for assuring the reliability and transparency of data for both uses, and policies have been evolving to meet these goals. Most journals now include data supplements and have strengthened sharing and archiving requirements. For example, Science now requires all references to be available (published) at publication, and to the extent possible, supporting data to be archived in online supplements. Many problems remain and are growing: Journals cannot handle some of the large data sets routinely being produced now, and must rely on public databases. Of these, too many do not have reliable funding, and others (e.g., personal or institutional WWW sites) are not reliably curated. Much usable data is being discarded. Journals are in the role of monitoring and in too many cases enforcing deposition and sharing of data. Presentation and visualization of data requires new tools that are challenging to standardize and maintain, and to represent within traditional formats still used by most users. Much data is being archived in a minimally usable form (PDF) without common metadata. A growing burden is being placed on reviewers and editors as papers are longer and more complex, and many journals are seeing large growths in submissions. In some disciplines, huge private data sets, third-party data, or privacy issues are increasingly important, and scientists and journals may be unaware of use restrictions. It is critical that societies, journals, and funding agencies address these issues as these are impacting the integrity and accountability of the science.

Diagnostic methods for atmospheric inversions of long-lived greenhouse gases

NASA Astrophysics Data System (ADS)

Michalak, Anna M.; Randazzo, Nina A.; Chevallier, Frédéric

2017-06-01

The ability to predict the trajectory of climate change requires a clear understanding of the emissions and uptake (i.e., surface fluxes) of long-lived greenhouse gases (GHGs). Furthermore, the development of climate policies is driving a need to constrain the budgets of anthropogenic GHG emissions. Inverse problems that couple atmospheric observations of GHG concentrations with an atmospheric chemistry and transport model have increasingly been used to gain insights into surface fluxes. Given the inherent technical challenges associated with their solution, it is imperative that objective approaches exist for the evaluation of such inverse problems. Because direct observation of fluxes at compatible spatiotemporal scales is rarely possible, diagnostics tools must rely on indirect measures. Here we review diagnostics that have been implemented in recent studies and discuss their use in informing adjustments to model setup. We group the diagnostics along a continuum starting with those that are most closely related to the scientific question being targeted, and ending with those most closely tied to the statistical and computational setup of the inversion. We thus begin with diagnostics based on assessments against independent information (e.g., unused atmospheric observations, large-scale scientific constraints), followed by statistical diagnostics of inversion results, diagnostics based on sensitivity tests, and analyses of robustness (e.g., tests focusing on the chemistry and transport model, the atmospheric observations, or the statistical and computational framework), and close with the use of synthetic data experiments (i.e., observing system simulation experiments, OSSEs). We find that existing diagnostics provide a crucial toolbox for evaluating and improving flux estimates but, not surprisingly, cannot overcome the fundamental challenges associated with limited atmospheric observations or the lack of direct flux measurements at compatible scales. As atmospheric inversions are increasingly expected to contribute to national reporting of GHG emissions, the need for developing and implementing robust and transparent evaluation approaches will only grow.

Synoptic Sky Surveys: Lessons Learned and Challenges Ahead

NASA Astrophysics Data System (ADS)

Djorgovski, Stanislav G.; CRTS Team

2014-01-01

A new generation of synoptic sky surveys is now opening the time domain for a systematic exploration, presenting both great new scientific opportunities as well as the challenges. These surveys are touching essentially all subfields of astronomy, producing large statistical samples of the known types of objects and events (e.g., SNe, AGN, variable stars of many kinds), and have already uncovered previously unknown subtypes of these (e.g., rare or peculiar types of SNe). They are generating new science now, and paving the way for even larger surveys to come, e.g., the LSST. Our ability to fully exploit such forthcoming facilities depends critically on the science, methodology, and experience that are being accumulated now. Among the outstanding challenges the foremost is our ability to conduct an effective follow-up of the interesting events discovered by the surveys in any wavelength regime. The follow-up resources, especially spectroscopy, are already be severely limited, and this problem will grow by orders of magnitude. This requires an intelligent down-selection of the most astrophysically interesting events to follow. The first step in that process is an automated, real-time, iterative classification of transient events, that incorporates heterogeneous data from the surveys themselves, archival information (spatial, temporal, and multiwavelength), and the incoming follow-up observations. The second step is an optimal automated event prioritization and allocation of the available follow-up resources that also change in time. Both of these challenges are highly non-trivial, and require a strong cyber-infrastructure based on the Virtual Observatory data grid, and the various astroinformatics efforts now under way. This is inherently an astronomy of telescope-computational systems, that increasingly depends on novel machine learning and artificial intelligence tools. Another arena with a strong potential for discovery is an archival, non-time-critical exploration of the time domain, with the time dimension adding the complexity to an already challenging problem of data mining of highly-dimensional data parameter spaces.

Scientific ballooning. Proceedings. PSB Meeting of the COSPAR Panel on Technical Problems Related to Scientific Ballooning which was held during the Thirtieth COSPAR Scientific Assembly, Hamburg (Germany), 11 - 21 Jul 1994.

NASA Astrophysics Data System (ADS)

Riedler, W.; Torkar, K.

1996-05-01

This issue is grouped into sections on materials, design, performance and analysis of balloons, reviews of major national and international balloon programmes, novel instrumentation and systems for scientific ballooning, and selected recent scientific observations.

[Prevention and protection of workers' reproductive health].

PubMed

Sivochalova, O V; Fesenko, M A; Golovaneva, G V; Morozova, T V; Fedorova, E V; Irmiakova, A R; Gromova, E Iu; Stepanian, I V; Vuĭtsik, P A

2013-01-01

The article mentiones issues of preserving and strengthening the reproductive health of women workers, dealed by researchers of the laboratory, established in 1974. It describes the developed concept of the reproductive health problems and scientific research areas, developed documents, including legislative fields, formulates main prospects of the laboratory to meet the requirements of the present moment. Noted the role of the Problem Commission "Scientific basis for the reproductive health of workers", in the work of the Scientific Council on medical and environmental issues of workers' health.

Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS): Phase 1 Challenge Problem Walkthrough

DTIC Science & Technology

2014-11-01

Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS): Phase 1 Challenge Problem Walkthrough Kevin Burns...4. TITLE AND SUBTITLE Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS): Phase 1 Challenge Problem Walkthrough...Integrated Cognitive-neuroscience Architectures for Understanding Sensemaking (ICArUS) Phase 1 challenge problem. The pages include screen shots

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.

Development of geometry materials based on scientific approach for junior high school students

NASA Astrophysics Data System (ADS)

Nurafni; Siswanto, R. D.; Azhar, E.

2018-01-01

A scientific approach is a learning process designed so that learners can actively construct concepts, encourage learners to find out from various sources through observation, and not just be told. Therefore, learning by scientific approach offers a solution, because the goals, principles, and stages of the scientific approach allow for a good understanding of the students. Because of the absence of teaching materials “polyhedron geometry based on scientific approach” which is widely published in Indonesia, then we need to develop the teaching materials. The results obtained in this study are the tasks presented on teaching materials with a scientific approach both in defining the cube and the beam, identify and solve problems related to the properties and elements of cubes and beams, making cube and beam nets, solving problems related to cube and beam nets, solving problems related to cube and beam surface area. Beginning with the difficulties students face. Then, based on the results of interviews with teachers and analysis of student difficulties on each indicator, researchers revise the teaching materials as needed. Teaching materials that have not found any more student difficulties then the teaching materials are considered valid and ready for use by teachers and students.

Climate Literacy from the Plains to the Peaks: Challenges in Teaching Climate in Colorado Classrooms

NASA Astrophysics Data System (ADS)

Hafich, K. A.; Martens, W.; Fletcher, H.; MacFerrin, B.; Morrison, D.; Stone, J.; Collins, M. C.; Chastain, M.; Hager, C.; Duncan, E.; Gay, C. J.; Kurz, J. D.; Manning, C. B.; Graves, B. J.; Bloomfield, L.

2015-12-01

Boulder, Colorado is a central hub of climate research and education resources, yet teachers less than two hours away struggle to find relevant climate curriculum and meaningful connections to climate scientists. Learn More About Climate (LMAC), an initiative of the CU-Boulder Office for Outreach and Engagement was created to provide access to the most up-to-date scientific research in a user-friendly way that raises awareness and inspires an informed dialogue about climate change among Coloradans. LMAC produces classroom ready videos highlighting CU climate scientists, offers classroom visits and Skype sessions with scientists, and serves as a hub for the most recent climate news. LMAC recently formed a Teacher Advisory Board made up of eleven K12 teachers from across Colorado spanning rural, suburban, and urban school districts. Given different locations, demographics, and grade levels, each teacher faces different challenges teaching climate. Here we present our work to identify the primary challenges that our teacher advisors have encountered while teaching climate science in their classrooms. Furthermore, we are working to co-create dynamic solutions with the teachers to address these problems using the LMAC platform.

Potential Challenges of Controlling Leishmaniasis in Sri Lanka at a Disease Outbreak

PubMed Central

Gunawardana, Kithsiri; Rodrigo, Wasana

2017-01-01

The present works reviewed the existing information on leishmaniasis in Sri Lanka and in other countries, focusing on challenges of controlling leishmaniasis in the country, in an outbreak. Evidence from recent studies suggests that there is a possibility of a leishmaniasis outbreak in Sri Lanka in the near future. Difficulty of early diagnosis due to lack of awareness and unavailability or inadequacy of sensitive tests are two of the main challenges for effective case management. Furthermore, the absence of a proper drug for treatment and lack of knowledge about vector biology, distribution, taxonomy and bionomics, and reservoir hosts make the problem serious. The evident potential for visceralization in the cutaneous variant of L. donovani in Sri Lanka may also complicate the issue. Lack of knowledge among local communities also reduces the effectiveness of vector and reservoir host control programs. Immediate actions need to be taken in order to increase scientific knowledge about the disease and a higher effectiveness of the patient management and control programs must be achieved through increased awareness about the disease among general public and active participation of local community in control activities. PMID:28630867

[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.

Fundamental Problems of Lunar Research, Technical Solutions, and Priority Lunar Regions for Research

NASA Astrophysics Data System (ADS)

Ivanov, M. A.; Basilevsky, A. T.; Bricheva, S. S.; Guseva, E. N.; Demidov, N. E.; Zakharova, M.; Krasil'nikov, S. S.

2017-11-01

In this article, we discuss four fundamental scientific problems of lunar research: (1) lunar chronology, (2) the internal structure of the Moon, (3) the lunar polar regions, and (4) lunar volcanism. After formulating the scientific problems and their components, we proceed to outlining a list of technical solutions and priority lunar regions for research. Solving the listed problems requires investigations on the lunar surface using lunar rovers, which can deliver a set of analytical equipment to places where geological conditions are known from a detailed analysis of orbital information. The most critical research methods, which can answer some of the key questions, are analysis of local geological conditions from panoramic photographs, determination of the chemical, isotopic, and mineral composition of the soil, and deep seismic sounding. A preliminary list is given of lunar regions with high scientific priority.

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.

Standardisation in the field of nanotechnology: some issues of legitimacy.

PubMed

Forsberg, Ellen-Marie

2012-12-01

Nanotechnology will allegedly have a revolutionary impact in a wide range of fields, but has also created novel concerns about health, safety and the environment (HSE). Nanotechnology regulation has nevertheless lagged behind nanotechnology development. In 2004 the International Organization for Standardization established a technical committee for producing nanotechnology standards for terminology, measurements, HSE issues and product specifications. These standards are meant to play a role in nanotechnology development, as well as in national and international nanotechnology regulation, and will therefore have consequences for consumers, workers and the environment. This paper gives an overview of the work in the technical committee on nanotechnology and discusses some challenges with regard to legitimacy in such work. The paper focuses particularly on stakeholder involvement and the potential problems of scientific robustness when standardising in such early stages of the scientific development. The intention of the paper is to raise some important issues rather than to draw strong conclusions. However, the paper will be concluded with some suggestions for improving legitimacy in the TC 229 and a call for increased public awareness about standardisation in the field of nanotechnology.

On improving the algorithm efficiency in the particle-particle force calculations

NASA Astrophysics Data System (ADS)

Kozynchenko, Alexander I.; Kozynchenko, Sergey A.

2016-09-01

The problem of calculating inter-particle forces in the particle-particle (PP) simulation models takes an important place in scientific computing. Such simulation models are used in diverse scientific applications arising in astrophysics, plasma physics, particle accelerators, etc., where the long-range forces are considered. The inverse-square laws such as Coulomb's law of electrostatic forces and Newton's law of universal gravitation are the examples of laws pertaining to the long-range forces. The standard naïve PP method outlined, for example, by Hockney and Eastwood [1] is straightforward, processing all pairs of particles in a double nested loop. The PP algorithm provides the best accuracy of all possible methods, but its computational complexity is O (Np2), where Np is a total number of particles involved. Too low efficiency of the PP algorithm seems to be the challenging issue in some cases where the high accuracy is required. An example can be taken from the charged particle beam dynamics where, under computing the own space charge of the beam, so-called macro-particles are used (see e.g., Humphries Jr. [2], Kozynchenko and Svistunov [3]).

Spatially explicit decision support for selecting translocation areas for Mojave desert tortoises

USGS Publications Warehouse

Heaton, Jill S.; Nussear, Kenneth E.; Esque, Todd C.; Inman, Richard D.; Davenport, Frank; Leuteritz, Thomas E.; Medica, Philip A.; Strout, Nathan W.; Burgess, Paul A.; Benvenuti, Lisa

2008-01-01

Spatially explicit decision support systems are assuming an increasing role in natural resource and conservation management. In order for these systems to be successful, however, they must address real-world management problems with input from both the scientific and management communities. The National Training Center at Fort Irwin, California, has expanded its training area, encroaching U.S. Fish and Wildlife Service critical habitat set aside for the Mojave desert tortoise (Gopherus agassizii), a federally threatened species. Of all the mitigation measures proposed to offset expansion, the most challenging to implement was the selection of areas most feasible for tortoise translocation. We developed an objective, open, scientifically defensible spatially explicit decision support system to evaluate translocation potential within the Western Mojave Recovery Unit for tortoise populations under imminent threat from military expansion. Using up to a total of 10 biological, anthropogenic, and/or logistical criteria, seven alternative translocation scenarios were developed. The final translocation model was a consensus model between the seven scenarios. Within the final model, six potential translocation areas were identified.

Probing Dynamics in Granular Media of Contrasting Geometries via X-Ray Phase Contrast Imaging and PDV

NASA Astrophysics Data System (ADS)

Crum, Ryan; Pagan, Darren; Lind, Jon; Homel, Michael; Hurley, Ryan; Herbold, Eric; Akin, Minta

Granular systems are ubiquitous in our everyday world and play a central role in many dynamic scientific problems including mine blasting, projectile penetration, astrophysical collisions, explosions, and dynamic compaction. An understanding of granular media's behavior under various loading conditions is an ongoing scientific grand challenge. This is partly due to the intricate interplay between material properties, loading conditions, grain geometry, and grain connectivity. Previous dynamic studies in granular media predominantly utilize the macro-scale analyses VISAR or PDV, diagnostics that are not sensitive to the many degrees of freedom and their interactions, focusing instead on their aggregate effect. Results of a macro-scale analysis leave the principal interactions of these degrees of freedom too entangled to elucidate. To isolate the significance of grain geometry, this study probes various geometries of granular media subjected to gas gun generated waves via in-situ X-ray analysis. Analyses include evaluating displacement fields, grain fracture, inter- and intra-granular densification, and wave front motion. Phase Contrast Imaging (PCI) and PDV analyses feed directly into our concurrent meso-scale granular media modeling efforts to enhance our predictive capabilities.

Chemical action: what is it, and why does it really matter?

NASA Astrophysics Data System (ADS)

Koolage, W. John; Hall, Ralph

2011-04-01

Nanotechnology, as with many technologies before it, places a strain on existing legislation and poses a challenge to all administrative agencies tasked with regulating technology-based products. It is easy to see how statutory schemes become outdated, as our ability to understand and affect the world progresses. In this article, we address the regulatory problems that nanotechnology posses for the Food and Drug Administration's (FDA) classification structure for "drugs" and "devices." The last major modification to these terms was in 1976, with the enactment of the Medical Device Amendments. There are serious practical differences for a classification as a drug or device in terms of time to market and research. Drugs are classified, primarily, as acting by "chemical action." We lay out some legal, philosophic, and scientific tools that serve to provide a useful, as well as legally and scientifically faithful, distinction between drugs and devices for the purpose of regulatory classification. These issues we raise are worth the consideration of anyone who is interested in the regulation of nano-products or other novel technologies.

Field studies in architectural acoustics using Tablet PCs

NASA Astrophysics Data System (ADS)

Boye, Daniel

2005-04-01

Core requirements for the sciences within the liberal arts curriculum challenge students to become directly involved in scientific study. These requirements seek to develop scientifically literate leaders and members of society. Formal laboratory periods are not usually associated with these courses. Thus, conceptual discovery and quantitative experimentation must take place outside of the classroom. Physics 115: Musical Technology at Davidson College is such a course and contains a section dealing with architectural acoustics. Field studies in the past have been an awkward and cumbersome activity, especially for non-science majors. The emerging technology of Tablet PCs overcomes many of the problems of mobile data acquisition and analysis, and allows the students to determine the locations of the rooms to be studied. The impulse method for determining reverberation time is used and compared with calculations based on room size and absorption media. The use of Tablet PCs and the publicly available freeware Audacity in field studies investigating architectural acoustics will be discussed. [Work supported in part by the Associated Colleges of the South through their Technology Fellowship program.

Simulating Hydrologic Flow and Reactive Transport with PFLOTRAN and PETSc on Emerging Fine-Grained Parallel Computer Architectures

NASA Astrophysics Data System (ADS)

Mills, R. T.; Rupp, K.; Smith, B. F.; Brown, J.; Knepley, M.; Zhang, H.; Adams, M.; Hammond, G. E.

2017-12-01

As the high-performance computing community pushes towards the exascale horizon, power and heat considerations have driven the increasing importance and prevalence of fine-grained parallelism in new computer architectures. High-performance computing centers have become increasingly reliant on GPGPU accelerators and "manycore" processors such as the Intel Xeon Phi line, and 512-bit SIMD registers have even been introduced in the latest generation of Intel's mainstream Xeon server processors. The high degree of fine-grained parallelism and more complicated memory hierarchy considerations of such "manycore" processors present several challenges to existing scientific software. Here, we consider how the massively parallel, open-source hydrologic flow and reactive transport code PFLOTRAN - and the underlying Portable, Extensible Toolkit for Scientific Computation (PETSc) library on which it is built - can best take advantage of such architectures. We will discuss some key features of these novel architectures and our code optimizations and algorithmic developments targeted at them, and present experiences drawn from working with a wide range of PFLOTRAN benchmark problems on these architectures.

Hippocrates' complaint and the scientific ethos in early modern England.

PubMed

Yeo, Richard

2018-04-01

Among the elements of the modern scientific ethos, as identified by R.K. Merton and others, is the commitment of individual effort to a long-term inquiry that may not bring substantial results in a lifetime. The challenge this presents was encapsulated in the aphorism of the ancient Greek physician, Hippocrates of Kos: vita brevis, ars longa (life is short, art is long). This article explores how this complaint was answered in the early modern period by Francis Bacon's call for the inauguration of the sciences over several generations, thereby imagining a succession of lives added together over time. However, Bacon also explored another response to Hippocrates: the devotion of a 'whole life', whether brief or long, to science. The endorsement of long-term inquiry in combination with intensive lifetime involvement was embraced by some leading Fellows of the Royal Society, such as Robert Boyle and Robert Hooke. The problem for individuals, however, was to find satisfaction in science despite concerns, in some fields, that current observations and experiments would not yield material able to be extended by future investigations.

In science communication, why does the idea of a public deficit always return?

PubMed

Meyer, Gitte

2016-05-01

For centuries, science communication has been widely perceived, irrespective of context, as a didactic enterprise. That understanding does not accommodate a political category of science communication, featuring citizens on an equal footing - some of them scientists - who share responsibility for public affairs and represent different points of view and ways of reasoning. That may harm, at the same time and for the same reasons, democratic knowledge societies as political entities and science as a body of knowledge and rational methodology. Scientists are discursively excluded from the public. The public is perceived in terms of knowledge deficiency. The latter perception has survived decades of critique, accompanied by attempts, along an everyman-as-scientist logic, to include all citizens in the scientific endeavour. But why should all be scientists? With respect to practical-political issues - as distinct from technical-scientific ones - the acknowledgement of the citizenship of scientists seems more relevant. Only, this would challenge the widespread understanding of science as an all-purpose problem solver and the consequent ideas of politics. © The Author(s) 2016.

Machine-assisted discovery of relationships in astronomy

NASA Astrophysics Data System (ADS)

Graham, Matthew J.; Djorgovski, S. G.; Mahabal, Ashish A.; Donalek, Ciro; Drake, Andrew J.

2013-05-01

High-volume feature-rich data sets are becoming the bread-and-butter of 21st century astronomy but present significant challenges to scientific discovery. In particular, identifying scientifically significant relationships between sets of parameters is non-trivial. Similar problems in biological and geosciences have led to the development of systems which can explore large parameter spaces and identify potentially interesting sets of associations. In this paper, we describe the application of automated discovery systems of relationships to astronomical data sets, focusing on an evolutionary programming technique and an information-theory technique. We demonstrate their use with classical astronomical relationships - the Hertzsprung-Russell diagram and the Fundamental Plane of elliptical galaxies. We also show how they work with the issue of binary classification which is relevant to the next generation of large synoptic sky surveys, such as the Large Synoptic Survey Telescope (LSST). We find that comparable results to more familiar techniques, such as decision trees, are achievable. Finally, we consider the reality of the relationships discovered and how this can be used for feature selection and extraction.

Influence of Family Processes, Motivation, and Beliefs about Intelligence on Creative Problem Solving of Scientifically Talented Individuals

ERIC Educational Resources Information Center

Cho, Seokhee; Lin, Chia-Yi

2011-01-01

Predictive relationships among perceived family processes, intrinsic and extrinsic motivation, incremental beliefs about intelligence, confidence in intelligence, and creative problem-solving practices in mathematics and science were examined. Participants were 733 scientifically talented Korean students in fourth through twelfth grades as well as…

Stochastic Analysis and Control of Transonic Helicopter Aerodynamics and Supersonic Projectiles

DTIC Science & Technology

2009-02-02

Analysis, Edited by A. N. Sengupta and P. Sundar, World Scientific Publishers, 2008. 2. Jingling Guan and S. S. Sritharan, “A Problem of...Edited by A. N. Sengupta and P. Sundar, World Scientific Publishers, 2008. 2. Jingling Guan and S. S. Sritharan, “A Problem of Hyperbolic-Elliptic

In the eye of the cyclops: The classic case of cospeciation and why paradigms are important

USDA-ARS?s Scientific Manuscript database

Scientific disagreements due to empirical problems - not enough data, not enough of the critical type of data, problems in analyzing the data - are generally short-lived and resolved in the next cycle of data production. Those disagreements are thus transitory. Persistent scientific conflicts do n...

Students' Research-Informed Socio-Scientific Activism: Re/Visions for a Sustainable Future

ERIC Educational Resources Information Center

Bencze, Larry; Sperling, Erin; Carter, Lyn

2012-01-01

In many educational contexts throughout the world, increasing focus has been placed on "socio-scientific issues"; that is, disagreements about potential personal, social and/or environmental problems associated with fields of science and technology. Some suggest (as do we) that many of these potential problems, such as those associated with…

Promoting Scientific Literacy Using a Sociocritical and Problem-Oriented Approach to Chemistry Teaching: Concept, Examples, Experiences

ERIC Educational Resources Information Center

Marks, Ralf; Eilks, Ingo

2009-01-01

This paper revisits the discussion about the objectives of scientific literacy-oriented chemistry teaching, its connection to the German concept of "Allgemeinbildung", and the debate of "science through education" vs. "education through science". About 10 years ago the sociocritical and problem-oriented approach to…

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.

Russian Military Reform: Problems and Challenges

DTIC Science & Technology

2010-03-25

RUSSIAN MILITARY REFORM : PROBLEMS AND CHALLENGES BY LIEUTENANT COLONEL ZURAB AGLADZE Georgian Army...USAWC STRATEGIC REASERCH PROJECT RUSSIAN MILITARY REFORM : PROBLEMS AND CHALLENGES by Lieutenant Colonel...noncommissioned officers still continue to be unsolved. Despite some successes, Russian military reform still faces many challenges that will

How much is enough? The recurrent problem of setting measurable objectives in conservation

USGS Publications Warehouse

Tear, T.H.; Kareiva, P.; Angermeier, P.L.; Comer, P.; Czech, B.; Kautz, R.; Landon, L.; Mehlman, D.; Murphy, K.; Ruckelshaus, M.; Scott, J.M.; Wilhere, G.

2005-01-01

International agreements, environmental laws, resource management agencies, and environmental nongovernmental organizations all establish objectives that define what they hope to accomplish. Unfortunately, quantitative objectives in conservation are typically set without consistency and scientific rigor. As a result, conservationists are failing to provide credible answers to the question "How much is enough?" This is a serious problem because objectives profoundly shape where and how limited conservation resources are spent, and help to create a shared vision for the future. In this article we develop guidelines to help steer conservation biologists and practitioners through the process of objective setting. We provide three case studies to highlight the practical challenges of objective setting in different social, political, and legal contexts. We also identify crucial gaps in our science, including limited knowledge of species distributions and of large-scale, long-term ecosystem dynamics, that must be filled if we hope to do better than setting conservation objectives through intuition and best guesses. ?? 2005 American Institute of Biological Sciences.