Oil Spill!: An Event-Based Science Module. Teacher's Guide. Oceanography Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school earth science or general science teachers to help their students learn scientific literacy through event-based science. Unlike traditional curricula, the event- based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork,…

Semantic Web technologies for the big data in life sciences.

PubMed

Wu, Hongyan; Yamaguchi, Atsuko

2014-08-01

The life sciences field is entering an era of big data with the breakthroughs of science and technology. More and more big data-related projects and activities are being performed in the world. Life sciences data generated by new technologies are continuing to grow in not only size but also variety and complexity, with great speed. To ensure that big data has a major influence in the life sciences, comprehensive data analysis across multiple data sources and even across disciplines is indispensable. The increasing volume of data and the heterogeneous, complex varieties of data are two principal issues mainly discussed in life science informatics. The ever-evolving next-generation Web, characterized as the Semantic Web, is an extension of the current Web, aiming to provide information for not only humans but also computers to semantically process large-scale data. The paper presents a survey of big data in life sciences, big data related projects and Semantic Web technologies. The paper introduces the main Semantic Web technologies and their current situation, and provides a detailed analysis of how Semantic Web technologies address the heterogeneous variety of life sciences big data. The paper helps to understand the role of Semantic Web technologies in the big data era and how they provide a promising solution for the big data in life sciences.

Earthquake!: An Event-Based Science Module. Student Edition. Earth Science Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

Big Biology: Supersizing Science During the Emergence of the 21st Century

PubMed Central

Vermeulen, Niki

2017-01-01

Ist Biologie das jüngste Mitglied in der Familie von Big Science? Die vermehrte Zusammenarbeit in der biologischen Forschung wurde in der Folge des Human Genome Project zwar zum Gegenstand hitziger Diskussionen, aber Debatten und Reflexionen blieben meist im Polemischen verhaftet und zeigten eine begrenzte Wertschätzung für die Vielfalt und Erklärungskraft des Konzepts von Big Science. Zur gleichen Zeit haben Wissenschafts- und Technikforscher/innen in ihren Beschreibungen des Wandels der Forschungslandschaft die Verwendung des Begriffs Big Science gemieden. Dieser interdisziplinäre Artikel kombiniert eine begriffliche Analyse des Konzepts von Big Science mit unterschiedlichen Daten und Ideen aus einer Multimethodenuntersuchung mehrerer großer Forschungsprojekte in der Biologie. Ziel ist es, ein empirisch fundiertes, nuanciertes und analytisch nützliches Verständnis von Big Biology zu entwickeln und die normativen Debatten mit ihren einfachen Dichotomien und rhetorischen Positionen hinter sich zu lassen. Zwar kann das Konzept von Big Science als eine Mode in der Wissenschaftspolitik gesehen werden – inzwischen vielleicht sogar als ein altmodisches Konzept –, doch lautet meine innovative Argumentation, dass dessen analytische Verwendung unsere Aufmerksamkeit auf die Ausweitung der Zusammenarbeit in den Biowissenschaften lenkt. Die Analyse von Big Biology zeigt Unterschiede zu Big Physics und anderen Formen von Big Science, namentlich in den Mustern der Forschungsorganisation, der verwendeten Technologien und der gesellschaftlichen Zusammenhänge, in denen sie tätig ist. So können Reflexionen über Big Science, Big Biology und ihre Beziehungen zur Wissensproduktion die jüngsten Behauptungen über grundlegende Veränderungen in der Life Science-Forschung in einen historischen Kontext stellen. PMID:27215209

Blight! An Event-Based Science Module. Teacher's Guide. Plants and Plant Diseases Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school life science or physical science teachers to help their students learn scientific literacy through event-based science. Unlike traditional curricula, the event- based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork,…

Fire!: An Event-Based Science Module. Teacher's Guide. Chemistry and Fire Ecology Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school earth science or physical science teachers to help their students learn scientific literacy through event-based science. Unlike traditional curricula, the event- based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork,…

Volcano!: An Event-Based Science Module. Teacher's Guide. Geology Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school earth science teachers to help their students learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research,…

Mavericks versus team players: the trade-off between shared glory and making a personal contribution.

PubMed

Charlton, Bruce G

2008-08-01

The modern world is characterized by progressive specialization of function and ever-larger-scale coordination of these ever-more-specialized functions. More and more of science is done by increasing-sized teams of specialists, and the ability to engage in 'teamwork' is regarded as an almost essential attribute for most scientists. But teamwork does not suit all personality types. Some 'maverick' individuals would rather have personal credit for a relatively modest scientific contribution which they achieved (mostly) by themselves, than a share of credit in a much larger scientific contribution generated by a large team. The present system of medical science is organized to discourage mavericks and, on the whole, this is probably justifiable on the basis that scientists are not natural team players. Extra inducements are necessary to get people to adopt the relatively self-effacing behaviours necessary for building the large organizations of complementary specialists that are necessary for tackling many of the most intractable modern scientific problems. However, an ethos of teamwork does carry substantial disadvantages. Although most scientists are dispensable, and do not make a significant personal contribution, the very best scientists do make a difference to the rate of progress of science. And top notch scientists are wasted as team players. The very best scientists can function only as mavericks because they are doing science for vocational reasons. The highest intensity of personal commitment requires individual rewards from distinctive contributions. In conclusion, the current incentive system that encourages teamwork involves a trade-off. The majority of modestly talented scientists can probably achieve more when working as members of a team. But the very best scientists probably need to work as mavericks.

Perceptions of Science Graduating Students on Their Learning Gains

ERIC Educational Resources Information Center

Varsavsky, Cristina; Matthews, Kelly E.; Hodgson, Yvonne

2014-01-01

In this study, the Science Student Skills Inventory was used to gain understanding of student perceptions about their science skills set developed throughout their programme (scientific content knowledge, communication, scientific writing, teamwork, quantitative skills, and ethical thinking). The study involved 400 responses from undergraduate…

Big Science and Big Big Science

ERIC Educational Resources Information Center

Marshall, Steve

2012-01-01

In his introduction to the science shows feature in "Primary Science" 115, Ian B. Dunne asks the question "Why have science shows?" He lists a host of very sound reasons, starting with because "science is fun" so why not engage and entertain, inspire, grab attention and encourage them to learn? He goes onto to state that: "Even in today's…

Nursing Needs Big Data and Big Data Needs Nursing.

PubMed

Brennan, Patricia Flatley; Bakken, Suzanne

2015-09-01

Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care. Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data. The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist. Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient. © 2015 Sigma Theta Tau International.

The Swiss cheese model of adverse event occurrence--Closing the holes.

PubMed

Stein, James E; Heiss, Kurt

2015-12-01

Traditional surgical attitude regarding error and complications has focused on individual failings. Human factors research has brought new and significant insights into the occurrence of error in healthcare, helping us identify systemic problems that injure patients while enhancing individual accountability and teamwork. This article introduces human factors science and its applicability to teamwork, surgical culture, medical error, and individual accountability. Copyright © 2015 Elsevier Inc. All rights reserved.

A systematic review of teamwork in the intensive care unit: what do we know about teamwork, team tasks, and improvement strategies?

PubMed

Dietz, Aaron S; Pronovost, Peter J; Mendez-Tellez, Pedro Alejandro; Wyskiel, Rhonda; Marsteller, Jill A; Thompson, David A; Rosen, Michael A

2014-12-01

Teamwork is essential for ensuring the quality and safety of health care delivery in the intensive care unit (ICU). This article addresses what we know about teamwork, team tasks, and team improvement strategies in the ICU to identify the strengths and limitations of the existing knowledge base to guide future research. A keyword search of the PubMed database was conducted in February 2013. Keyword combinations focused on 3 areas: (1) teamwork, (2) the ICU, and (3) training/quality improvement interventions. All studies that investigated teamwork, team tasks, or team interventions within the ICU (ie, intradepartment) were selected for inclusion. Teamwork has been investigated across an array of research contexts and task types. The terminology used to describe team factors varied considerably across studies. The most common team tasks involved strategy and goal formulation. Team training and structured protocols were the most widely implemented quality improvement strategies. Team research is burgeoning in the ICU, yet low-hanging fruit remains that can further advance the science of teams in the ICU if addressed. Constructs must be defined, and theoretical frameworks should be referenced. The functional characteristics of tasks should also be reported to help determine the extent to which study results might generalize to other contexts of work. Copyright © 2014 Elsevier Inc. All rights reserved.

Tornado! An Event-Based Science Module. Student Edition. Meteorology Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

Volcano!: An Event-Based Science Module. Student Edition. Geology Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

Oil Spill! An Event-Based Science Module. Student Edition. Oceanography Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

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.

Cooperative learning effects on teamwork attitudes in clinical laboratory science students.

PubMed

Laatsch, Linda; Britton, Lynda; Keating, Susan; Kirchner, Phyllis; Lehman, Don; Madsen-Myers, Karen; Milson, Linda; Otto, Catherine; Spence, Libby

2005-01-01

To evaluate clinical laboratory science (CLS) student attitudes toward teamwork when using cooperative learning (CL) as compared to individual learning (IL) in a course and to determine if learning method affects student attitudes toward the course itself. This was a multi-institutional study involving eight classrooms in seven states. The effects of CL and IL on student attitudes were compared for 216 student participants. One group of students learned the course material through a CL approach while a second group of students learned via a traditional IL approach. For each course, the instructor, class material, and examination content was identical for the CL and IL students; the only variable was learning method. Student attitudes toward teamwork and toward the course were evaluated with a 35-item Attitude Questionnaire administered as a posttest. Mean scores for the CL and IL groups were compared using the Student t-test for independent samples. No significant difference was seen between the CL and IL students when assessing the first 30 questions on student attitudes toward teamwork (means = 98.42 and 98.22, respectively) when all institutions were combined. Comparable results were seen for each of the eight institutions. For the five questions comparing attitudes toward the course itself, there usually was no significant difference in attitude between CL and IL students. The only classrooms where CL students had more positive attitudes were those with instructors who had more than 10 years experience with CL. Results suggest that CL produces similar student attitudes toward teamwork and toward a CLS course as does IL.

Toxic Leak!: An Event-Based Science Module. Student Edition. Groundwater Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for the middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

Fire!: An Event-Based Science Module. Student Edition. Chemistry and Fire Ecology Module.

ERIC Educational Resources Information Center

Wright, Russell G.

This book is designed for middle school students to learn scientific literacy through event-based science. Unlike traditional curricula, the event-based earth science module is a student-centered, interdisciplinary, inquiry-oriented program that emphasizes cooperative learning, teamwork, independent research, hands-on investigations, and…

Big Machines and Big Science: 80 Years of Accelerators at Stanford

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

Loew, Gregory

2008-12-16

Longtime SLAC physicist Greg Loew will present a trip through SLAC's origins, highlighting its scientific achievements, and provide a glimpse of the lab's future in 'Big Machines and Big Science: 80 Years of Accelerators at Stanford.'

Observatories, think tanks, and community models in the hydrologic and environmental sciences: How does it affect me?

NASA Astrophysics Data System (ADS)

Torgersen, Thomas

2006-06-01

Multiple issues in hydrologic and environmental sciences are now squarely in the public focus and require both government and scientific study. Two facts also emerge: (1) The new approach being touted publicly for advancing the hydrologic and environmental sciences is the establishment of community-operated "big science" (observatories, think tanks, community models, and data repositories). (2) There have been important changes in the business of science over the last 20 years that make it important for the hydrologic and environmental sciences to demonstrate the "value" of public investment in hydrological and environmental science. Given that community-operated big science (observatories, think tanks, community models, and data repositories) could become operational, I argue that such big science should not mean a reduction in the importance of single-investigator science. Rather, specific linkages between the large-scale, team-built, community-operated big science and the single investigator should provide context data, observatory data, and systems models for a continuing stream of hypotheses by discipline-based, specialized research and a strong rationale for continued, single-PI ("discovery-based") research. I also argue that big science can be managed to provide a better means of demonstrating the value of public investment in the hydrologic and environmental sciences. Decisions regarding policy will still be political, but big science could provide an integration of the best scientific understanding as a guide for the best policy.

Understanding interdisciplinary health care teams: using simulation design processes from the Air Carrier Advanced Qualification Program to identify and train critical teamwork skills.

PubMed

Hamman, William R; Beaudin-Seiler, Beth M; Beaubien, Jeffrey M

2010-09-01

In the report "Five Years After 'To Err is Human' ", it was noted that "the combination of complexity, professional fragmentation, and a tradition of individualism, enhanced by a well-entrenched hierarchical authority structure and diffuse accountability, forms a daunting barrier to creating the habits and beliefs of common purpose, teamwork, and individual accountability for successful interdependence that a safe culture requires". Training physicians, nurses, and other professionals to work in teams is a concept that has been promoted by many patient safety experts. However the model of teamwork in healthcare is diffusely defined, no clear performance metrics have been established, and the use of simulation to train teams has been suboptimal. This paper reports on the first three years of work performed in the Michigan Economic Development Corporation (MEDC) Tri-Corridor life science grant to apply concepts and processes of simulation design that were developed in the air carrier industry to understand and train healthcare teams. This work has been monitored by the American Academy for the Advancement of Science (AAA) and is based on concepts designed in the Advanced Qualification Program (AQP) from the air carrier industry, which trains and assesses teamwork skills in the same manner as technical skills. This grant has formed the foundation for the Center of Excellence for Simulation Education and Research (CESR).

Big Science for Growing Minds: Constructivist Classrooms for Young Thinkers. Early Childhood Education Series

ERIC Educational Resources Information Center

Brooks, Jacqueline Grennon

2011-01-01

Strong evidence from recent brain research shows that the intentional teaching of science is crucial in early childhood. "Big Science for Growing Minds" describes a groundbreaking curriculum that invites readers to rethink science education through a set of unifying concepts or "big ideas." Using an integrated learning approach, the author shows…

ScienceDesk Project Overview

NASA Technical Reports Server (NTRS)

Keller, Richard M.; Norvig, Peter (Technical Monitor)

2000-01-01

NASA's ScienceDesk Project at the Ames Research Center is responsible for scientific knowledge management which includes ensuring the capture, preservation, and traceability of scientific knowledge. Other responsibilities include: 1) Maintaining uniform information access which is achieved through intelligent indexing and visualization, 2) Collaborating both asynchronous and synchronous science teamwork, 3) Monitoring and controlling semi-autonomous remote experimentation.

Communication and teamwork in patient care: how much can we learn from aviation?

PubMed

Lyndon, Audrey

2006-01-01

To identify evidence on the role of assertiveness and teamwork and the application of aviation industry techniques to improve patient safety for inpatient obstetric care. Studies limited to research with humans in English language retrieved from CINAHL, PubMed, Social Science Abstracts, and Social Sciences Citation Index, and references from reviewed articles. A total of 13 studies were reviewed, including 5 studies of teamwork, communication, and safety attitudes in aviation; 2 studies comparing these factors in aviation and health care; and 6 studies of assertive behavior and decision making by nurses. Studies lacking methodological rigor or focusing on medication errors and deviant behavior were excluded. Pilot attitudes regarding interpersonal interaction on the flight deck predicted effective performance and were amenable to behavior-based training to improve team performance. Nursing knowledge was inconsistently accessed in decision making. Findings regarding nurse assertiveness were mixed. Adaptation of training concepts and safety methods from other fields will have limited impact on perinatal safety without an examination of the contextual experiences of nurses and other health care providers in working to prevent patient harm.

Toward a manifesto for the 'public understanding of big data'.

PubMed

Michael, Mike; Lupton, Deborah

2016-01-01

In this article, we sketch a 'manifesto' for the 'public understanding of big data'. On the one hand, this entails such public understanding of science and public engagement with science and technology-tinged questions as follows: How, when and where are people exposed to, or do they engage with, big data? Who are regarded as big data's trustworthy sources, or credible commentators and critics? What are the mechanisms by which big data systems are opened to public scrutiny? On the other hand, big data generate many challenges for public understanding of science and public engagement with science and technology: How do we address publics that are simultaneously the informant, the informed and the information of big data? What counts as understanding of, or engagement with, big data, when big data themselves are multiplying, fluid and recursive? As part of our manifesto, we propose a range of empirical, conceptual and methodological exhortations. We also provide Appendix 1 that outlines three novel methods for addressing some of the issues raised in the article. © The Author(s) 2015.

Improving Care Teams' Functioning: Recommendations from Team Science.

PubMed

Fiscella, Kevin; Mauksch, Larry; Bodenheimer, Thomas; Salas, Eduardo

2017-07-01

Team science has been applied to many sectors including health care. Yet there has been relatively little attention paid to the application of team science to developing and sustaining primary care teams. Application of team science to primary care requires adaptation of core team elements to different types of primary care teams. Six elements of teams are particularly relevant to primary care: practice conditions that support or hinder effective teamwork; team cognition, including shared understanding of team goals, roles, and how members will work together as a team; leadership and coaching, including mutual feedback among members that promotes teamwork and moves the team closer to achieving its goals; cooperation supported by an emotionally safe climate that supports expression and resolution of conflict and builds team trust and cohesion; coordination, including adoption of processes that optimize efficient performance of interdependent activities among team members; and communication, particularly regular, recursive team cycles involving planning, action, and debriefing. These six core elements are adapted to three prototypical primary care teams: teamlets, health coaching, and complex care coordination. Implementation of effective team-based models in primary care requires adaptation of core team science elements coupled with relevant, practical training and organizational support, including adequate time to train, plan, and debrief. Training should be based on assessment of needs and tasks and the use of simulations and feedback, and it should extend to live action. Teamlets represent a potential launch point for team development and diffusion of teamwork principles within primary care practices. Copyright © 2017 The Joint Commission. Published by Elsevier Inc. All rights reserved.

Teamwork: a concept analysis.

PubMed

Xyrichis, Andreas; Ream, Emma

2008-01-01

This paper is a report of an analysis of the concept of teamwork. Teamwork is seen as an important facilitator in delivering quality healthcare services internationally. However, research studies of teamwork in health care are criticized for lacking a basic conceptual understanding of what this concept represents. A universal definition for healthcare settings and professionals is missing from published literature. Walker and Avant's approach was used to guide this concept analysis. Literature searches used bibliographic databases (Medline, CINAHL, Web of Science, Proquest CSA), internet search engines (GoogleScholar), and hand searches. Literature published between 1976 and 2006 was reviewed but only material in English was included. Based on the analysis undertaken, teamwork is proposed as a dynamic process involving two or more healthcare professionals with complementary backgrounds and skills, sharing common health goals and exercising concerted physical and mental effort in assessing, planning, or evaluating patient care. This is accomplished through interdependent collaboration, open communication and shared decision-making, and generates value-added patient, organizational and staff outcomes. Praising the value of teamwork without a common understanding of what this concept represents endangers both research into this way of working and its effective utilization in practice. The proposed definition helps reconcile discrepancies between how this concept is understood by nurses and doctors, as well as allied health professionals. A common understanding can facilitate communication in educational, research and clinical settings and is imperative for improving clarity and validity of future research.

Development of Meta Level Communication Analysis using Temporal Data Crystallization and Its Application to Multi Modal Human Communication

DTIC Science & Technology

2013-07-22

shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1...don’t you allow your staffs to telecommute ? Mr.X: I will take your idea. Then we do not need a big building. Mr.U (working for Mr.X’s firm... Telecommuting …? Doesn’t it weaken our teamwork? Mr.X: I will then certainly introduce telecommuting partially. Mr.U: Partially… to what part? Mr.X: Maybe

Introducing the nurse practitioner into the surgical ward: an ethnographic study of interprofessional teamwork practice.

PubMed

Kvarnström, Susanne; Jangland, Eva; Abrandt Dahlgren, Madeleine

2017-08-22

The first nurse practitioners in surgical care were introduced into Swedish surgical wards in 2014. Internationally, organisations that have adopted nurse practitioners into care teams are reported to have maintained or improved the quality of care. However, close qualitative descriptions of teamwork practice may add to existing knowledge of interprofessional collaboration when introducing nurse practitioners into new clinical areas. The aim was to report on an empirical study describing how interprofessional teamwork practice was enacted by nurse practitioners when introduced into surgical ward teams. The study had a qualitative, ethnographic research design, drawing on a sociomaterial conceptual framework. The study was based on 170 hours of ward-based participant observations of interprofessional teamwork practice that included nurse practitioners. Data were gathered from 2014 to 2015 across four surgical sites in Sweden, including 60 interprofessional rounds. The data were analysed with an iterative reflexive procedure involving inductive and theory-led approaches. The study was approved by a Swedish regional ethics committee (Ref. No.: 2014/229-31). The interprofessional teamwork practice enacted by the nurse practitioners that emerged from the analysis comprised a combination of the following characteristic role components: clinical leader, bridging team colleague and ever-present tutor. These role components were enacted at all the sites and were prominent during interprofessional teamwork practice. The participant nurse practitioners utilised the interprofessional teamwork practice arrangements to enact a role that may be described in terms of a quality guarantee, thereby contributing to the overall quality and care flow offered by the entire surgical ward team. © 2017 Nordic College of Caring Science.

Shaping the Future with Math, Science, and Technology: Solutions and Lesson Plans to Prepare Tomorrow's Innovators

ERIC Educational Resources Information Center

Adams, Dennis; Hamm, Mary

2011-01-01

"Shaping the Future with Math, Science, and Technology" examines how ingenuity, creativity, and teamwork skills are part of an intellectual toolbox associated with math, science, and technology. The book provides new ideas, proven processes, practical tools, and examples useful to educators who want to encourage students to solve problems and…

Facilitymetrics for Big Ocean Science: Towards Improved Measurement of Scientific Impact

NASA Astrophysics Data System (ADS)

Juniper, K.; Owens, D.; Moran, K.; Pirenne, B.; Hallonsten, O.; Matthews, K.

2016-12-01

Cabled ocean observatories are examples of "Big Science" facilities requiring significant public investments for installation and ongoing maintenance. Large observatory networks in Canada and the United States, for example, have been established after extensive up-front planning and hundreds of millions of dollars in start-up costs. As such, they are analogous to particle accelerators and astronomical observatories, which may often be required to compete for public funding in an environment of ever-tightening national science budget allocations. Additionally, the globalization of Big Science compels these facilities to respond to increasing demands for demonstrable productivity, excellence and competitiveness. How should public expenditures on "Big Science" facilities be evaluated and justified in terms of benefits to the countries that invest in them? Published literature counts are one quantitative measure often highlighted in the annual reports of large science facilities. But, as recent research has demonstrated, publication counts can lead to distorted characterizations of scientific impact, inviting evaluators to calculate scientific outputs in terms of costs per publication—a ratio that can be simplistically misconstrued to conclude Big Science is wildly expensive. Other commonly promoted measurements of Big Science facilities include technical reliability (a.k.a. uptime), provision of training opportunities for Highly Qualified Personnel, generation of commercialization opportunities, and so forth. "Facilitymetrics" is a new empirical focus for scientometrical studies, which has been applied to the evaluation and comparison of synchrotron facilities. This paper extends that quantitative and qualitative examination to a broader inter-disciplinary comparison of Big Science facilities in the ocean science realm to established facilities in the fields of astronomy and particle physics.

Facilitymetrics for Big Ocean Science: Towards Improved Measurement of Scientific Impact

NASA Astrophysics Data System (ADS)

Juniper, K.; Owens, D.; Moran, K.; Pirenne, B.; Hallonsten, O.; Matthews, K.

2016-02-01

Cabled ocean observatories are examples of "Big Science" facilities requiring significant public investments for installation and ongoing maintenance. Large observatory networks in Canada and the United States, for example, have been established after extensive up-front planning and hundreds of millions of dollars in start-up costs. As such, they are analogous to particle accelerators and astronomical observatories, which may often be required to compete for public funding in an environment of ever-tightening national science budget allocations. Additionally, the globalization of Big Science compels these facilities to respond to increasing demands for demonstrable productivity, excellence and competitiveness. How should public expenditures on "Big Science" facilities be evaluated and justified in terms of benefits to the countries that invest in them? Published literature counts are one quantitative measure often highlighted in the annual reports of large science facilities. But, as recent research has demonstrated, publication counts can lead to distorted characterizations of scientific impact, inviting evaluators to calculate scientific outputs in terms of costs per publication—a ratio that can be simplistically misconstrued to conclude Big Science is wildly expensive. Other commonly promoted measurements of Big Science facilities include technical reliability (a.k.a. uptime), provision of training opportunities for Highly Qualified Personnel, generation of commercialization opportunities, and so forth. "Facilitymetrics" is a new empirical focus for scientometrical studies, which has been applied to the evaluation and comparison of synchrotron facilities. This paper extends that quantitative and qualitative examination to a broader inter-disciplinary comparison of Big Science facilities in the ocean science realm to established facilities in the fields of astronomy and particle physics.

Urgent Call for Nursing Big Data.

PubMed

Delaney, Connie W

2016-01-01

The purpose of this panel is to expand internationally a National Action Plan for sharable and comparable nursing data for quality improvement and big data science. There is an urgent need to assure that nursing has sharable and comparable data for quality improvement and big data science. A national collaborative - Nursing Knowledge and Big Data Science includes multi-stakeholder groups focused on a National Action Plan toward implementing and using sharable and comparable nursing big data. Panelists will share accomplishments and future plans with an eye toward international collaboration. This presentation is suitable for any audience attending the NI2016 conference.

Teaching corporate in college.

PubMed

Valantine, Hannah A; Beckerle, Mary C; Reed, Kathryn L; Towner, Dena; Zahniser, Nancy R

2014-08-27

By applying the strengths of corporate models for effective teamwork, academic scientists can drive transdisciplinary research and accelerate biomedical translation. Copyright © 2014, American Association for the Advancement of Science.

Big Science and the Large Hadron Collider

NASA Astrophysics Data System (ADS)

Giudice, Gian Francesco

2012-03-01

The Large Hadron Collider (LHC), the particle accelerator operating at CERN, is probably the most complex and ambitious scientific project ever accomplished by humanity. The sheer size of the enterprise, in terms of financial and human resources, naturally raises the question whether society should support such costly basic-research programs. I address this question by first reviewing the process that led to the emergence of Big Science and the role of large projects in the development of science and technology. I then compare the methodologies of Small and Big Science, emphasizing their mutual linkage. Finally, after examining the cost of Big Science projects, I highlight several general aspects of their beneficial implications for society.

The New Big Science: What's New, What's Not, and What's the Difference

NASA Astrophysics Data System (ADS)

Westfall, Catherine

2016-03-01

This talk will start with a brief recap of the development of the ``Big Science'' epitomized by high energy physics, that is, the science that flourished after WWII based on accelerators, teams, and price tags that grew ever larger. I will then explain the transformation that started in the 1980s and culminated in the 1990s when the Cold War ended and the next big machine needed to advance high energy physics, the multi-billion dollar Superconducting Supercollider (SSC), was cancelled. I will go on to outline the curious series of events that ushered in the New Big Science, a form of research well suited to a post-Cold War environment that valued practical rather than esoteric projects. To show the impact of the New Big Science I will describe how decisions were ``set into concrete'' during the development of experimental equipment at the Thomas Jefferson National Accelerator Facility in Newport News, Virginia.

NASA's Big Data Task Force

NASA Astrophysics Data System (ADS)

Holmes, C. P.; Kinter, J. L.; Beebe, R. F.; Feigelson, E.; Hurlburt, N. E.; Mentzel, C.; Smith, G.; Tino, C.; Walker, R. J.

2017-12-01

Two years ago NASA established the Ad Hoc Big Data Task Force (BDTF - https://science.nasa.gov/science-committee/subcommittees/big-data-task-force), an advisory working group with the NASA Advisory Council system. The scope of the Task Force included all NASA Big Data programs, projects, missions, and activities. The Task Force focused on such topics as exploring the existing and planned evolution of NASA's science data cyber-infrastructure that supports broad access to data repositories for NASA Science Mission Directorate missions; best practices within NASA, other Federal agencies, private industry and research institutions; and Federal initiatives related to big data and data access. The BDTF has completed its two-year term and produced several recommendations plus four white papers for NASA's Science Mission Directorate. This presentation will discuss the activities and results of the TF including summaries of key points from its focused study topics. The paper serves as an introduction to the papers following in this ESSI session.

The influence of personality and ability on undergraduate teamwork and team performance.

PubMed

Rhee, Jinny; Parent, David; Basu, Anuradha

2013-12-01

The ability to work effectively on a team is highly valued by employers, and collaboration among students can lead to intrinsic motivation, increased persistence, and greater transferability of skills. Moreover, innovation often arises from multidisciplinary teamwork. The influence of personality and ability on undergraduate teamwork and performance is not comprehensively understood. An investigation was undertaken to explore correlations between team outcomes, personality measures and ability in an undergraduate population. Team outcomes included various self-, peer- and instructor ratings of skills, performance, and experience. Personality measures and ability involved the Five-Factor Model personality traits and GPA. Personality, GPA, and teamwork survey data, as well as instructor evaluations were collected from upper division team project courses in engineering, business, political science, and industrial design at a large public university. Characteristics of a multidisciplinary student team project were briefly examined. Personality, in terms of extraversion scores, was positively correlated with instructors' assessment of team performance in terms of oral and written presentation scores, which is consistent with prior research. Other correlations to instructor-, students' self- and peer-ratings were revealed and merit further study. The findings in this study can be used to understand important influences on successful teamwork, teamwork instruction and intervention and to understand the design of effective curricula in this area moving forward. The online version of this article (doi:10.1186/2193-1801-2-16) contains supplementary material, which is available to authorized users.

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

PubMed

Faghmous, James H; Kumar, Vipin

2014-09-01

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

From big data to deep insight in developmental science.

PubMed

Gilmore, Rick O

2016-01-01

The use of the term 'big data' has grown substantially over the past several decades and is now widespread. In this review, I ask what makes data 'big' and what implications the size, density, or complexity of datasets have for the science of human development. A survey of existing datasets illustrates how existing large, complex, multilevel, and multimeasure data can reveal the complexities of developmental processes. At the same time, significant technical, policy, ethics, transparency, cultural, and conceptual issues associated with the use of big data must be addressed. Most big developmental science data are currently hard to find and cumbersome to access, the field lacks a culture of data sharing, and there is no consensus about who owns or should control research data. But, these barriers are dissolving. Developmental researchers are finding new ways to collect, manage, store, share, and enable others to reuse data. This promises a future in which big data can lead to deeper insights about some of the most profound questions in behavioral science. © 2016 The Authors. WIREs Cognitive Science published by Wiley Periodicals, Inc.

Perspectives on Policy and the Value of Nursing Science in a Big Data Era.

PubMed

Gephart, Sheila M; Davis, Mary; Shea, Kimberly

2018-01-01

As data volume explodes, nurse scientists grapple with ways to adapt to the big data movement without jeopardizing its epistemic values and theoretical focus that celebrate while acknowledging the authority and unity of its body of knowledge. In this article, the authors describe big data and emphasize ways that nursing science brings value to its study. Collective nursing voices that call for more nursing engagement in the big data era are answered with ways to adapt and integrate theoretical and domain expertise from nursing into data science.

Nursing Knowledge: Big Data Science-Implications for Nurse Leaders.

PubMed

Westra, Bonnie L; Clancy, Thomas R; Sensmeier, Joyce; Warren, Judith J; Weaver, Charlotte; Delaney, Connie W

2015-01-01

The integration of Big Data from electronic health records and other information systems within and across health care enterprises provides an opportunity to develop actionable predictive models that can increase the confidence of nursing leaders' decisions to improve patient outcomes and safety and control costs. As health care shifts to the community, mobile health applications add to the Big Data available. There is an evolving national action plan that includes nursing data in Big Data science, spearheaded by the University of Minnesota School of Nursing. For the past 3 years, diverse stakeholders from practice, industry, education, research, and professional organizations have collaborated through the "Nursing Knowledge: Big Data Science" conferences to create and act on recommendations for inclusion of nursing data, integrated with patient-generated, interprofessional, and contextual data. It is critical for nursing leaders to understand the value of Big Data science and the ways to standardize data and workflow processes to take advantage of newer cutting edge analytics to support analytic methods to control costs and improve patient quality and safety.

Translating Knowledge into Action at the Norwegian University of Life Sciences (UMB)

ERIC Educational Resources Information Center

Lund, Trine; Francis, Charles; Pederson, Kristin; Lieblein, Geir; Rahman, Md. Hafizur

2014-01-01

Purpose: This article explores the impacts of action learning on graduates' abilities to use interdisciplinary knowledge to solve problems, practice teamwork on the job and become change agents through study in two MSc programmes at the Norwegian University of Life Sciences (UMB). Design/methodology/approach: Electronic questionnaires were sent to…

Virtual Teamwork: Students Studying about Ethics in an Online Environment

ERIC Educational Resources Information Center

Ng, Wan

2008-01-01

The fundamental concepts of ethics: value, obligation and responsibility are what many of us use in our everyday decision-making on issues that affect our lives. Students in the coursework unit "Science and technology in contemporary society" learn about these concepts in relation to science and technological research and development. The learning…

DIS[subscript 2]ECT: A Framework for Effective Inclusive Science Instruction

ERIC Educational Resources Information Center

Spaulding, Lucinda S.; Flannagan, Jenny Sue

2012-01-01

The purpose of this article is to provide special education and general education teachers a framework (DIS[subscript 2]ECT) for teaching science in inclusive settings. DIS2ECT stands for Design (Backwards); Individualization; Scaffolding and Strategies; Experiential learning; Cooperative Learning; and Teamwork. This framework was derived from our…

The Promise and Potential Perils of Big Data for Advancing Symptom Management Research in Populations at Risk for Health Disparities.

PubMed

Bakken, Suzanne; Reame, Nancy

2016-01-01

Symptom management research is a core area of nursing science and one of the priorities for the National Institute of Nursing Research, which specifically focuses on understanding the biological and behavioral aspects of symptoms such as pain and fatigue, with the goal of developing new knowledge and new strategies for improving patient health and quality of life. The types and volume of data related to the symptom experience, symptom management strategies, and outcomes are increasingly accessible for research. Traditional data streams are now complemented by consumer-generated (i.e., quantified self) and "omic" data streams. Thus, the data available for symptom science can be considered big data. The purposes of this chapter are to (a) briefly summarize the current drivers for the use of big data in research; (b) describe the promise of big data and associated data science methods for advancing symptom management research; (c) explicate the potential perils of big data and data science from the perspective of the ethical principles of autonomy, beneficence, and justice; and (d) illustrate strategies for balancing the promise and the perils of big data through a case study of a community at high risk for health disparities. Big data and associated data science methods offer the promise of multidimensional data sources and new methods to address significant research gaps in symptom management. If nurse scientists wish to apply big data and data science methods to advance symptom management research and promote health equity, they must carefully consider both the promise and perils.

Big Data in Plant Science: Resources and Data Mining Tools for Plant Genomics and Proteomics.

PubMed

Popescu, George V; Noutsos, Christos; Popescu, Sorina C

2016-01-01

In modern plant biology, progress is increasingly defined by the scientists' ability to gather and analyze data sets of high volume and complexity, otherwise known as "big data". Arguably, the largest increase in the volume of plant data sets over the last decade is a consequence of the application of the next-generation sequencing and mass-spectrometry technologies to the study of experimental model and crop plants. The increase in quantity and complexity of biological data brings challenges, mostly associated with data acquisition, processing, and sharing within the scientific community. Nonetheless, big data in plant science create unique opportunities in advancing our understanding of complex biological processes at a level of accuracy without precedence, and establish a base for the plant systems biology. In this chapter, we summarize the major drivers of big data in plant science and big data initiatives in life sciences with a focus on the scope and impact of iPlant, a representative cyberinfrastructure platform for plant science.

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

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

PubMed Central

Kumar, Vipin

2014-01-01

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

How big is too big or how many partners are needed to build a large project which still can be managed successfully?

NASA Astrophysics Data System (ADS)

Henkel, Daniela; Eisenhauer, Anton

2017-04-01

During the last decades, the number of large research projects has increased and therewith the requirement for multidisciplinary, multisectoral collaboration. Such complex and large-scale projects pose new competencies to form, manage, and use large, diverse teams as a competitive advantage. For complex projects the effort is magnified because multiple large international research consortia involving academic and non-academic partners, including big industries, NGOs, private and public bodies, all with cultural differences, individually discrepant expectations on teamwork and differences in the collaboration between national and multi-national administrations and research organisations, challenge the organisation and management of such multi-partner research consortia. How many partners are needed to establish and conduct collaboration with a multidisciplinary and multisectoral approach? How much personnel effort and what kinds of management techniques are required for such projects. This presentation identifies advantages and challenges of large research projects based on the experiences made in the context of an Innovative Training Network (ITN) project within Marie Skłodowska-Curie Actions of the European HORIZON 2020 program. Possible strategies are discussed to circumvent and avoid conflicts already at the beginning of the project.

Rethinking Big Science. Modest, mezzo, grand science and the development of the Bevalac, 1971-1993.

PubMed

Westfall, Catherine

2003-03-01

Historians of science have tended to focus exclusively on scale in investigations of largescale research, perhaps because it has been easy to assume that comprehending a phenomenon dubbed "Big Science" hinges on an understanding of bigness. A close look at Lawrence Berkeley Laboratory's Bevalac, a medium-scale "mezzo science" project formed by uniting two preexisting machines--the modest SuperHILAC and the grand Bevatron--shows what can be gained by overcoming this preoccupation with bigness. The Bevalac story reveals how interconnections, connections, and disconnections ultimately led to the development of a new kind of science that transformed the landscape of large-scale research in the United States. Important lessons in historiography also emerge: the value of framing discussions in terms of networks, the necessity of constantly expanding and refining methodology, and the importance of avoiding the rhetoric of participants and instead finding words to tell our own stories.

Presenting the 'Big Ideas' of Science: Earth Science Examples.

ERIC Educational Resources Information Center

King, Chris

2001-01-01

Details an 'explanatory Earth story' on plate tectonics to show how such a 'story' can be developed in an earth science context. Presents five other stories in outline form. Explains the use of these stories as vehicles to present the big ideas of science. (DDR)

MARE-Marine Activities and Resource Education.

ERIC Educational Resources Information Center

de Bruin, Johannes; Evans, Susan M.

1998-01-01

Presents an account of one teacher's summer experiences on a vessel in the Bering Sea and the effects of those experiences on practice. Focuses on the teamwork among the science team, officers, and crew. (DDR)

Big data science: A literature review of nursing research exemplars.

PubMed

Westra, Bonnie L; Sylvia, Martha; Weinfurter, Elizabeth F; Pruinelli, Lisiane; Park, Jung In; Dodd, Dianna; Keenan, Gail M; Senk, Patricia; Richesson, Rachel L; Baukner, Vicki; Cruz, Christopher; Gao, Grace; Whittenburg, Luann; Delaney, Connie W

Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge. The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals. A literature review of studies published between 2009 and 2015. There were 650 journal articles identified in 17 key nursing informatics, general biomedical informatics, and nursing research journals in the Web of Science database. After screening for inclusion and exclusion criteria, 17 studies published in 18 articles were identified as big data nursing research applied to practice. Nurses clearly are beginning to conduct big data research applied to practice. These studies represent multiple data sources and settings. Although numerous analytic methods were used, the fundamental issue remains to define the types of analyses consistent with big data analytic methods. There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. A major implication of this literature review is whether nursing faculty and preparation of future scientists (PhD programs) are prepared for big data and data science. Copyright © 2016 Elsevier Inc. All rights reserved.

Factors contributing to nursing team work in an acute care tertiary hospital.

PubMed

Polis, Suzanne; Higgs, Megan; Manning, Vicki; Netto, Gayle; Fernandez, Ritin

Effective nursing teamwork is an essential component of quality health care and patient safety. Understanding which factors foster team work ensures teamwork qualities are cultivated and sustained. This study aims to investigate which factors are associated with team work in an Australian acute care tertiary hospital across all inpatient and outpatient settings. All nurses and midwives rostered to inpatient and outpatient wards in an acute care 600 bed hospital in Sydney Australia were invited to participate in a cross sectional survey between September to October 2013. Data were collected, collated, checked and analysed using Statistical Package for the Social Sciences (SPSS) Version 21. Factors reporting a significant correlation with where p < 0.05 were analysed in a multiple regression model. A total of 501 surveys were returned. Nursing teamwork scores ranged between 3.32 and 4.08. Teamwork subscale Shared Mental Model consistently rated the highest. Mean scores for overall communication between nurses and team leadership were 3.6 (S.D. 0.57) and 3.8 (SD 0.6) respectively. Leadership and communication between nurses were significant predictors of team work p < 0.001. Our findings describe factors predictive of teamwork in an acute care tertiary based hospital setting across inpatient and outpatient specialty units. Our findings are of particular relevance in identifying areas of nurse education and workforce planning to improve nursing team work.

The role of a creative "joint assignment" project in biomedical engineering bachelor degree education.

PubMed

Jiehui Jiang; Yuting Zhang; Mi Zhou; Xiaosong Zheng; Zhuangzhi Yan

2017-07-01

Biomedical Engineering (BME) bachelor education aims to train qualified engineers who devote themselves to addressing biological and medical problems by integrating the technological, medical and biological knowledge. Design thinking and teamwork with other disciplines are necessary for biomedical engineers. In the current biomedical engineering education system of Shanghai University (SHU), however, such design thinking and teamwork through a practical project is lacking. This paper describes a creative "joint assignment" project in Shanghai University, China, which has provided BME bachelor students a two-year practical experience to work with students from multidisciplinary departments including sociology, mechanics, computer sciences, business and art, etc. To test the feasibility of this project, a twenty-month pilot project has been carried out from May 2015 to December 2016. The results showed that this pilot project obviously enhanced competitive power of BME students in Shanghai University, both in the capabilities of design thinking and teamwork.

Toward a definition of teamwork in emergency medicine.

PubMed

Fernandez, Rosemarie; Kozlowski, Steve W J; Shapiro, Marc J; Salas, Eduardo

2008-11-01

The patient safety literature from the past decade emphasizes the importance of teamwork skills and human factors in preventing medical errors. Simulation has been used within aviation, the military, and now health care domains to effectively teach and assess teamwork skills. However, attempts to expand and generalize research and training principles have been limited due to a lack of a well-defined, well-researched taxonomy. As part of the 2008 Academic Emergency Medicine Consensus Conference on "The Science of Simulation in Healthcare," a subset of the group expertise and group assessment breakout sections identified evidence-based recommendations for an emergency medicine (EM) team taxonomy and performance model. This material was disseminated within the morning session and was discussed both during breakout sessions and via online messaging. Below we present a well-defined, well-described taxonomy that will help guide design, implementation, and assessment of simulation-based team training programs.

'Big data' in pharmaceutical science: challenges and opportunities.

PubMed

Dossetter, Al G; Ecker, Gerhard; Laverty, Hugh; Overington, John

2014-05-01

Future Medicinal Chemistry invited a selection of experts to express their views on the current impact of big data in drug discovery and design, as well as speculate on future developments in the field. The topics discussed include the challenges of implementing big data technologies, maintaining the quality and privacy of data sets, and how the industry will need to adapt to welcome the big data era. Their enlightening responses provide a snapshot of the many and varied contributions being made by big data to the advancement of pharmaceutical science.

Exploring the Extreme: High Performance Learning Activities in Mathematics, Science and Technology.

ERIC Educational Resources Information Center

2003

This educator guide for grades K-4 and 5-8 presents the basic science of aeronautics by emphasizing hands-on involvement, prediction, data collections and interpretation, teamwork, and problem solving. Activities include: (1) Finding the Center of Gravity Using Rulers; (2) Finding the Center of Gravity Using Plumb Lines; (3) Changing the Center of…

Interlaboratory Collaborations in the Undergraduate Setting

ERIC Educational Resources Information Center

Megehee, Elise G.; Hyslop, Alison G.; Rosso, Richard J.

2005-01-01

A novel approach to cross-disciplinary and group learning, known as interlaboratory collaborations, was developed. The method mimics an industrial or research setting, fosters teamwork, and emphasizes the importance of good communication skills in the sciences.

Forget the hype or reality. Big data presents new opportunities in Earth Science.

NASA Astrophysics Data System (ADS)

Lee, T. J.

2015-12-01

Earth science is arguably one of the most mature science discipline which constantly acquires, curates, and utilizes a large volume of data with diverse variety. We deal with big data before there is big data. For example, while developing the EOS program in the 1980s, the EOS data and information system (EOSDIS) was developed to manage the vast amount of data acquired by the EOS fleet of satellites. EOSDIS continues to be a shining example of modern science data systems in the past two decades. With the explosion of internet, the usage of social media, and the provision of sensors everywhere, the big data era has bring new challenges. First, Goggle developed the search algorithm and a distributed data management system. The open source communities quickly followed up and developed Hadoop file system to facility the map reduce workloads. The internet continues to generate tens of petabytes of data every day. There is a significant shortage of algorithms and knowledgeable manpower to mine the data. In response, the federal government developed the big data programs that fund research and development projects and training programs to tackle these new challenges. Meanwhile, comparatively to the internet data explosion, Earth science big data problem has become quite small. Nevertheless, the big data era presents an opportunity for Earth science to evolve. We learned about the MapReduce algorithms, in memory data mining, machine learning, graph analysis, and semantic web technologies. How do we apply these new technologies to our discipline and bring the hype to Earth? In this talk, I will discuss how we might want to apply some of the big data technologies to our discipline and solve many of our challenging problems. More importantly, I will propose new Earth science data system architecture to enable new type of scientific inquires.

Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives

PubMed Central

Miron-Shatz, T.; Lau, A. Y. S.; Paton, C.

2014-01-01

Summary Objectives As technology continues to evolve and rise in various industries, such as healthcare, science, education, and gaming, a sophisticated concept known as Big Data is surfacing. The concept of analytics aims to understand data. We set out to portray and discuss perspectives of the evolving use of Big Data in science and healthcare and, to examine some of the opportunities and challenges. Methods A literature review was conducted to highlight the implications associated with the use of Big Data in scientific research and healthcare innovations, both on a large and small scale. Results Scientists and health-care providers may learn from one another when it comes to understanding the value of Big Data and analytics. Small data, derived by patients and consumers, also requires analytics to become actionable. Connectivism provides a framework for the use of Big Data and analytics in the areas of science and healthcare. This theory assists individuals to recognize and synthesize how human connections are driving the increase in data. Despite the volume and velocity of Big Data, it is truly about technology connecting humans and assisting them to construct knowledge in new ways. Concluding Thoughts The concept of Big Data and associated analytics are to be taken seriously when approaching the use of vast volumes of both structured and unstructured data in science and health-care. Future exploration of issues surrounding data privacy, confidentiality, and education are needed. A greater focus on data from social media, the quantified self-movement, and the application of analytics to “small data” would also be useful. PMID:25123717

Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.

PubMed

Hansen, M M; Miron-Shatz, T; Lau, A Y S; Paton, C

2014-08-15

As technology continues to evolve and rise in various industries, such as healthcare, science, education, and gaming, a sophisticated concept known as Big Data is surfacing. The concept of analytics aims to understand data. We set out to portray and discuss perspectives of the evolving use of Big Data in science and healthcare and, to examine some of the opportunities and challenges. A literature review was conducted to highlight the implications associated with the use of Big Data in scientific research and healthcare innovations, both on a large and small scale. Scientists and health-care providers may learn from one another when it comes to understanding the value of Big Data and analytics. Small data, derived by patients and consumers, also requires analytics to become actionable. Connectivism provides a framework for the use of Big Data and analytics in the areas of science and healthcare. This theory assists individuals to recognize and synthesize how human connections are driving the increase in data. Despite the volume and velocity of Big Data, it is truly about technology connecting humans and assisting them to construct knowledge in new ways. Concluding Thoughts: The concept of Big Data and associated analytics are to be taken seriously when approaching the use of vast volumes of both structured and unstructured data in science and health-care. Future exploration of issues surrounding data privacy, confidentiality, and education are needed. A greater focus on data from social media, the quantified self-movement, and the application of analytics to "small data" would also be useful.

The Ethics of Big Data and Nursing Science.

PubMed

Milton, Constance L

2017-10-01

Big data is a scientific, social, and technological trend referring to the process and size of datasets available for analysis. Ethical implications arise as healthcare disciplines, including nursing, struggle over questions of informed consent, privacy, ownership of data, and its possible use in epistemology. The author offers straight-thinking possibilities for the use of big data in nursing science.

Computer Sciences Applied to Management at Open University of Catalonia: Development of Competences of Teamworks

NASA Astrophysics Data System (ADS)

Pisa, Carlos Cabañero; López, Enric Serradell

Teamwork is considered one of the most important professional skills in today's business environment. More specifically, the collaborative work between professionals and information technology managers from various functional areas is a strategic key in competitive business. Several university-level programs are focusing on developing these skills. This article presents the case of the course Computer Science Applied to Management (hereafter CSAM) that has been designed with the objective to develop the ability to work cooperatively in interdisciplinary teams. For their design and development have been addressed to the key elements of efficiency that appear in the literature, most notably the establishment of shared objectives and a feedback system, the management of the harmony of the team, their level of autonomy, independence, diversity and level of supervision. The final result is a subject in which, through a working virtual platform, interdisciplinary teams solve a problem raised by a case study.

Team-based learning increases active engagement and enhances development of teamwork and communication skills in a first-year course for veterinary and animal science undergraduates.

PubMed

Hazel, Susan J; Heberle, Nicole; McEwen, Margaret-Mary; Adams, Karen

2013-01-01

Team-based learning (TBL) was implemented into a first-year course (Principles in Animal Behaviour, Welfare and Ethics) for BSc Veterinary Bioscience (VB) and Animal Science (AS) students. TBL is now used widely in teaching medical students, but has had more limited uptake in veterinary education. This study reports its use over 2 years with cohorts of 126 and 138 students in 2011 and 2012, respectively. Average individual marks for multiple-choice question (MCQ) tests in the Readiness Assurance component of TBL were higher for the teams than for individuals for each session, explicitly demonstrating the advantages of teamwork. Students reported that they felt actively involved and that TBL helped them both with their learning and in developing other important skills, such as teamwork and communication. Qualitative analysis of written feedback from the students revealed positive themes of discussion, application, revelation, socializing, engagement, clarification, and retention/revision. In 2011 negative comments included the need to shorten the TBL sessions, but in 2012 tightening of the timelines meant that this was no longer a major concern. Requests to provide better introductory and background materials and ambiguity in questions in the TBL activities were what students least liked about the TBL. However, most comments were positive rather than negative in nature, and many students preferred the TBL to lectures. With requirements for curricula to teach professional skills, such as communication and teamwork, and the positive results from TBL's implementation, it is hoped that this study will encourage others to trial the use of TBL in veterinary education.

Team-training in healthcare: a narrative synthesis of the literature.

PubMed

Weaver, Sallie J; Dy, Sydney M; Rosen, Michael A

2014-05-01

Patients are safer and receive higher quality care when providers work as a highly effective team. Investment in optimising healthcare teamwork has swelled in the last 10 years. Consequently, evidence regarding the effectiveness for these interventions has also grown rapidly. We provide an updated review concerning the current state of team-training science and practice in acute care settings. A PubMed search for review articles examining team-training interventions in acute care settings published between 2000 and 2012 was conducted. Following identification of relevant reviews with searches terminating in 2008 and 2010, PubMed and PSNet were searched for additional primary studies published in 2011 and 2012. Primary outcomes included patient outcomes and quality indices. Secondary outcomes included teamwork behaviours, knowledge and attitudes. Both simulation and classroom-based team-training interventions can improve teamwork processes (eg, communication, coordination and cooperation), and implementation has been associated with improvements in patient safety outcomes. Thirteen studies published between 2011 and 2012 reported statistically significant changes in teamwork behaviours, processes or emergent states and 10 reported significant improvement in clinical care processes or patient outcomes, including mortality and morbidity. Effects were reported across a range of clinical contexts. Larger effect sizes were reported for bundled team-training interventions that included tools and organisational changes to support sustainment and transfer of teamwork competencies into daily practice. Overall, moderate-to-high-quality evidence suggests team-training can positively impact healthcare team processes and patient outcomes. Additionally, toolkits are available to support intervention development and implementation. Evidence suggests bundled team-training interventions and implementation strategies that embed effective teamwork as a foundation for other improvement efforts may offer greatest impact on patient outcomes.

Team-training in healthcare: a narrative synthesis of the literature

PubMed Central

Weaver, Sallie J; Dy, Sydney M; Rosen, Michael A

2014-01-01

Background Patients are safer and receive higher quality care when providers work as a highly effective team. Investment in optimising healthcare teamwork has swelled in the last 10 years. Consequently, evidence regarding the effectiveness for these interventions has also grown rapidly. We provide an updated review concerning the current state of team-training science and practice in acute care settings. Methods A PubMed search for review articles examining team-training interventions in acute care settings published between 2000 and 2012 was conducted. Following identification of relevant reviews with searches terminating in 2008 and 2010, PubMed and PSNet were searched for additional primary studies published in 2011 and 2012. Primary outcomes included patient outcomes and quality indices. Secondary outcomes included teamwork behaviours, knowledge and attitudes. Results Both simulation and classroom-based team-training interventions can improve teamwork processes (eg, communication, coordination and cooperation), and implementation has been associated with improvements in patient safety outcomes. Thirteen studies published between 2011 and 2012 reported statistically significant changes in teamwork behaviours, processes or emergent states and 10 reported significant improvement in clinical care processes or patient outcomes, including mortality and morbidity. Effects were reported across a range of clinical contexts. Larger effect sizes were reported for bundled team-training interventions that included tools and organisational changes to support sustainment and transfer of teamwork competencies into daily practice. Conclusions Overall, moderate-to-high-quality evidence suggests team-training can positively impact healthcare team processes and patient outcomes. Additionally, toolkits are available to support intervention development and implementation. Evidence suggests bundled team-training interventions and implementation strategies that embed effective teamwork as a foundation for other improvement efforts may offer greatest impact on patient outcomes. PMID:24501181

From an Idea to a Working Robot Prototype: Distributing Knowledge of Robotics through Science Museum Workshops

NASA Astrophysics Data System (ADS)

Polishuk, Alexander; Verner, Igor; Mir, Ronen

This paper presents our experience of teaching robotics to primary and middle school students at the Gelfand Center for Model Building, Robotics & Communication which is part of the Israel National Museum of Science, Technology and Space (MadaTech). The educational study examines the value and characteristics of students’ teamwork in the museum robotics workshops.

Big Data and Data Science in Critical Care.

PubMed

Sanchez-Pinto, L Nelson; Luo, Yuan; Churpek, Matthew M

2018-05-09

The digitalization of the health-care system has resulted in a deluge of clinical Big Data and has prompted the rapid growth of data science in medicine. Data science, which is the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. The availability of large amounts of data in the ICU, the need for better evidence-based care, and the complexity of critical illness makes the use of data science techniques and data-driven research particularly appealing to intensivists. Despite the increasing number of studies and publications in the field, thus far there have been few examples of data science projects that have resulted in successful implementations of data-driven systems in the ICU. However, given the expected growth in the field, intensivists should be familiar with the opportunities and challenges of Big Data and data science. The present article reviews the definitions, types of algorithms, applications, challenges, and future of Big Data and data science in critical care. Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Meteor Observations as Big Data Citizen Science

NASA Astrophysics Data System (ADS)

Gritsevich, M.; Vinkovic, D.; Schwarz, G.; Nina, A.; Koschny, D.; Lyytinen, E.

2016-12-01

Meteor science represents an excellent example of the citizen science project, where progress in the field has been largely determined by amateur observations. Over the last couple of decades technological advancements in observational techniques have yielded drastic improvements in the quality, quantity and diversity of meteor data, while even more ambitious instruments are about to become operational. This empowers meteor science to boost its experimental and theoretical horizons and seek more advanced scientific goals. We review some of the developments that push meteor science into the Big Data era that requires more complex methodological approaches through interdisciplinary collaborations with other branches of physics and computer science. We argue that meteor science should become an integral part of large surveys in astronomy, aeronomy and space physics, and tackle the complexity of micro-physics of meteor plasma and its interaction with the atmosphere. The recent increased interest in meteor science triggered by the Chelyabinsk fireball helps in building the case for technologically and logistically more ambitious meteor projects. This requires developing new methodological approaches in meteor research, with Big Data science and close collaboration between citizen science, geoscience and astronomy as critical elements. We discuss possibilities for improvements and promote an opportunity for collaboration in meteor science within the currently established BigSkyEarth http://bigskyearth.eu/ network.

Teamwork Assessment Tools in Obstetric Emergencies: A Systematic Review.

PubMed

Onwochei, Desire N; Halpern, Stephen; Balki, Mrinalini

2017-06-01

Team-based training and simulation can improve patient safety, by improving communication, decision making, and performance of team members. Currently, there is no general consensus on whether or not a specific assessment tool is better adapted to evaluate teamwork in obstetric emergencies. The purpose of this qualitative systematic review was to find the tools available to assess team effectiveness in obstetric emergencies. We searched Embase, Medline, PubMed, Web of Science, PsycINFO, CINAHL, and Google Scholar for prospective studies that evaluated nontechnical skills in multidisciplinary teams involving obstetric emergencies. The search included studies from 1944 until January 11, 2016. Data on reliability and validity measures were collected and used for interpretation. A descriptive analysis was performed on the data. Thirteen studies were included in the final qualitative synthesis. All the studies assessed teams in the context of obstetric simulation scenarios, but only six included anesthetists in the simulations. One study evaluated their teamwork tool using just validity measures, five using just reliability measures, and one used both. The most reliable tools identified were the Clinical Teamwork Scale, the Global Assessment of Obstetric Team Performance, and the Global Rating Scale of performance. However, they were still lacking in terms of quality and validity. More work needs to be conducted to establish the validity of teamwork tools for nontechnical skills, and the development of an ideal tool is warranted. Further studies are required to assess how outcomes, such as performance and patient safety, are influenced when using these tools.

Biosecurity in the age of Big Data: a conversation with the FBI

PubMed Central

Kozminski, Keith G.

2015-01-01

New scientific frontiers and emerging technologies within the life sciences pose many global challenges to society. Big Data is a premier example, especially with respect to individual, national, and international security. Here a Special Agent of the Federal Bureau of Investigation discusses the security implications of Big Data and the need for security in the life sciences. PMID:26543195

The role of administrative data in the big data revolution in social science research.

PubMed

Connelly, Roxanne; Playford, Christopher J; Gayle, Vernon; Dibben, Chris

2016-09-01

The term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Teaching science through video games

NASA Astrophysics Data System (ADS)

Smaldone, Ronald A.; Thompson, Christina M.; Evans, Monica; Voit, Walter

2017-02-01

Imagine a class without lessons, tests and homework, but with missions, quests and teamwork. Video games offer an attractive educational platform because they are designed to be fun and engaging, as opposed to traditional approaches to teaching through lectures and assignments.

Big Data in Health: a Literature Review from the Year 2005.

PubMed

de la Torre Díez, Isabel; Cosgaya, Héctor Merino; Garcia-Zapirain, Begoña; López-Coronado, Miguel

2016-09-01

The information stored in healthcare systems has increased over the last ten years, leading it to be considered Big Data. There is a wealth of health information ready to be analysed. However, the sheer volume raises a challenge for traditional methods. The aim of this article is to conduct a cutting-edge study on Big Data in healthcare from 2005 to the present. This literature review will help researchers to know how Big Data has developed in the health industry and open up new avenues for research. Information searches have been made on various scientific databases such as Pubmed, Science Direct, Scopus and Web of Science for Big Data in healthcare. The search criteria were "Big Data" and "health" with a date range from 2005 to the present. A total of 9724 articles were found on the databases. 9515 articles were discarded as duplicates or for not having a title of interest to the study. 209 articles were read, with the resulting decision that 46 were useful for this study. 52.6 % of the articles used were found in Science Direct, 23.7 % in Pubmed, 22.1 % through Scopus and the remaining 2.6 % through the Web of Science. Big Data has undergone extremely high growth since 2011 and its use is becoming compulsory in developed nations and in an increasing number of developing nations. Big Data is a step forward and a cost reducer for public and private healthcare.

A comparative study on student perceptions of their learning outcomes in undergraduate science degree programmes with differing curriculum models

NASA Astrophysics Data System (ADS)

Matthews, Kelly E.; Firn, Jennifer; Schmidt, Susanne; Whelan, Karen

2017-04-01

This study investigated students' perceptions of their graduate learning outcomes including content knowledge, communication, writing, teamwork, quantitative skills, and ethical thinking in two Australian universities. One university has a traditional discipline-orientated curriculum and the other, an interdisciplinary curriculum in the entry semester of first year. The Science Students Skills Inventory asked students (n = 613) in first and final years to rate their perceptions of the importance of developing graduate learning outcomes within the programme; how much they improved their graduate learning outcomes throughout their undergraduate science programme; how much they saw learning outcomes included in the programme; and how confident they were about their learning outcomes. A framework of progressive curriculum development was adopted to interpret results. Students in the discipline-oriented degree programme reported higher perceptions of scientific content knowledge and ethical thinking while students from the interdisciplinary curriculum indicated higher perceptions of oral communication and teamwork. Implications for curriculum development include ensuring progressive development from first to third years, a need for enhanced focus on scientific ethics, and career opportunities from first year onwards.

Enhancing the Effectiveness of Work Groups and Teams: A Reflection.

PubMed

Kozlowski, Steve W J

2018-03-01

Teamwork has been at the core of human accomplishment across the millennia, and it was a focus of social psychological inquiry on small group behavior for nearly half a century. However, as organizations world-wide reorganized work around teams over the past two decades, the nature of teamwork and factors influencing it became a central focus of research in organizational psychology and management. In this article, I reflect on the impetus, strategy, key features, and scientific contribution of "Enhancing the Effectiveness of Work Groups and Teams," by Kozlowski and Ilgen, a review monograph published in Psychological Science in the Public Interest in 2006.

Detection and Characterisation of Meteors as a Big Data Citizen Science project

NASA Astrophysics Data System (ADS)

Gritsevich, M.

2017-12-01

Out of a total around 50,000 meteorites currently known to science, the atmospheric passage was recorded instrumentally in only 30 cases with the potential to derive their atmospheric trajectories and pre-impact heliocentric orbits. Similarly, while the observations of meteors, add thousands of new entries per month to existing databases, it is extremely rare they lead to meteorite recovery. Meteor studies thus represent an excellent example of the Big Data citizen science project, where progress in the field largely depends on the prompt identification and characterisation of meteor events as well as on extensive and valuable contributions by amateur observers. Over the last couple of decades technological advancements in observational techniques have yielded drastic improvements in the quality, quantity and diversity of meteor data, while even more ambitious instruments are about to become operational. This empowers meteor science to boost its experimental and theoretical horizons and seek more advanced scientific goals. We review some of the developments that push meteor science into the Big Data era that requires more complex methodological approaches through interdisciplinary collaborations with other branches of physics and computer science. We argue that meteor science should become an integral part of large surveys in astronomy, aeronomy and space physics, and tackle the complexity of micro-physics of meteor plasma and its interaction with the atmosphere. The recent increased interest in meteor science triggered by the Chelyabinsk fireball helps in building the case for technologically and logistically more ambitious meteor projects. This requires developing new methodological approaches in meteor research, with Big Data science and close collaboration between citizen science, geoscience and astronomy as critical elements. We discuss possibilities for improvements and promote an opportunity for collaboration in meteor science within the currently established EU COST BigSkyEarth http://bigskyearth.eu/ network.

Teamwork in Task Analysis. Training Manual V

DTIC Science & Technology

1975-11-01

Research Programs Psychological Sciences Division Office of Naval Research Contract No. N00014-74-A-0436-0001 NR 151-370 Approved for public...Corps (Code RD) And Monitored By Personnel and Training Research Programs Psychological Sciences Division Office of Naval Research Contract No...survival in the hidden warfare of the destructive psychological win-lose game. Win-lose behavior stems from individual attitudes and manage- ment climate

Data science, learning, and applications to biomedical and health sciences.

PubMed

Adam, Nabil R; Wieder, Robert; Ghosh, Debopriya

2017-01-01

The last decade has seen an unprecedented increase in the volume and variety of electronic data related to research and development, health records, and patient self-tracking, collectively referred to as Big Data. Properly harnessed, Big Data can provide insights and drive discovery that will accelerate biomedical advances, improve patient outcomes, and reduce costs. However, the considerable potential of Big Data remains unrealized owing to obstacles including a limited ability to standardize and consolidate data and challenges in sharing data, among a variety of sources, providers, and facilities. Here, we discuss some of these challenges and potential solutions, as well as initiatives that are already underway to take advantage of Big Data. © 2017 New York Academy of Sciences.

LEGO robot vehicle lesson plans for secondary education : a recruitment tool.

DOT National Transportation Integrated Search

2012-08-01

Robotics is a great way to get kids excited about science, technology, engineering, and math (STEM) topics. It is also highly effective in stimulation development of teamwork and self-confidence. This project provides transportation-related lesson pl...

Big physics quartet win government backing

NASA Astrophysics Data System (ADS)

Banks, Michael

2014-09-01

Four major physics-based projects are among 10 to have been selected by Japan’s Ministry of Education, Culture, Sports, Science and Technology for funding in the coming decade as part of its “roadmap” of big-science projects.

Can Any Good Thing Come out of Nazareth? (John 1:46) 1999 George C. Pimentel Award, sponsored by Union Carbide Corporation

NASA Astrophysics Data System (ADS)

Orna, Mary Virginia

1999-09-01

We are in the era of Big Science, which also means big institutions where the Big Science is done. However, higher education in the United States is unique in that parallel to the array of big institutions is a system of small liberal arts and sciences colleges where students receive the personal attention and faculty contact that is often not possible at larger institutions. While these smaller institutions are limited in resources and finances, studies have shown that they contribute a disproportionately higher number of leaders across a spectrum of disciplines, including chemistry. This address summarizes my personal odyssey and the reasons for the award. In it, I emphasize the advantages enjoyed by liberal arts and sciences students and faculty that enable them to overcome the view that great things can only be done in large, cosmopolitan settings.

Working as a Team

ERIC Educational Resources Information Center

Brooks, Hannah

2017-01-01

In most STEM industries, teamwork is essential. Engineers, scientists, statisticians, and medical professionals, for example, must communicate with one another and work together. Someday, students may enter the STEM (science, technology, engineering, and math) workforce, where they also will need to collaborate effectively. This article describes…

From darwin to the census of marine life: marine biology as big science.

PubMed

Vermeulen, Niki

2013-01-01

With the development of the Human Genome Project, a heated debate emerged on biology becoming 'big science'. However, biology already has a long tradition of collaboration, as natural historians were part of the first collective scientific efforts: exploring the variety of life on earth. Such mappings of life still continue today, and if field biology is gradually becoming an important subject of studies into big science, research into life in the world's oceans is not taken into account yet. This paper therefore explores marine biology as big science, presenting the historical development of marine research towards the international 'Census of Marine Life' (CoML) making an inventory of life in the world's oceans. Discussing various aspects of collaboration--including size, internationalisation, research practice, technological developments, application, and public communication--I will ask if CoML still resembles traditional collaborations to collect life. While showing both continuity and change, I will argue that marine biology is a form of natural history: a specific way of working together in biology that has transformed substantially in interaction with recent developments in the life sciences and society. As a result, the paper does not only give an overview of transformations towards large scale research in marine biology, but also shines a new light on big biology, suggesting new ways to deepen the understanding of collaboration in the life sciences by distinguishing between different 'collective ways of knowing'.

Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century

PubMed Central

Zhang, Xinzhi; Pérez-Stable, Eliseo J.; Bourne, Philip E.; Peprah, Emmanuel; Duru, O. Kenrik; Breen, Nancy; Berrigan, David; Wood, Fred; Jackson, James S.; Wong, David W.S.; Denny, Joshua

2017-01-01

Addressing minority health and health disparities has been a missing piece of the puzzle in Big Data science. This article focuses on three priority opportunities that Big Data science may offer to the reduction of health and health care disparities. One opportunity is to incorporate standardized information on demographic and social determinants in electronic health records in order to target ways to improve quality of care for the most disadvantaged populations over time. A second opportunity is to enhance public health surveillance by linking geographical variables and social determinants of health for geographically defined populations to clinical data and health outcomes. Third and most importantly, Big Data science may lead to a better understanding of the etiology of health disparities and understanding of minority health in order to guide intervention development. However, the promise of Big Data needs to be considered in light of significant challenges that threaten to widen health disparities. Care must be taken to incorporate diverse populations to realize the potential benefits. Specific recommendations include investing in data collection on small sample populations, building a diverse workforce pipeline for data science, actively seeking to reduce digital divides, developing novel ways to assure digital data privacy for small populations, and promoting widespread data sharing to benefit under-resourced minority-serving institutions and minority researchers. With deliberate efforts, Big Data presents a dramatic opportunity for reducing health disparities but without active engagement, it risks further widening them. PMID:28439179

Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century.

PubMed

Zhang, Xinzhi; Pérez-Stable, Eliseo J; Bourne, Philip E; Peprah, Emmanuel; Duru, O Kenrik; Breen, Nancy; Berrigan, David; Wood, Fred; Jackson, James S; Wong, David W S; Denny, Joshua

2017-01-01

Addressing minority health and health disparities has been a missing piece of the puzzle in Big Data science. This article focuses on three priority opportunities that Big Data science may offer to the reduction of health and health care disparities. One opportunity is to incorporate standardized information on demographic and social determinants in electronic health records in order to target ways to improve quality of care for the most disadvantaged populations over time. A second opportunity is to enhance public health surveillance by linking geographical variables and social determinants of health for geographically defined populations to clinical data and health outcomes. Third and most importantly, Big Data science may lead to a better understanding of the etiology of health disparities and understanding of minority health in order to guide intervention development. However, the promise of Big Data needs to be considered in light of significant challenges that threaten to widen health disparities. Care must be taken to incorporate diverse populations to realize the potential benefits. Specific recommendations include investing in data collection on small sample populations, building a diverse workforce pipeline for data science, actively seeking to reduce digital divides, developing novel ways to assure digital data privacy for small populations, and promoting widespread data sharing to benefit under-resourced minority-serving institutions and minority researchers. With deliberate efforts, Big Data presents a dramatic opportunity for reducing health disparities but without active engagement, it risks further widening them.

Mon Océan & Moi : Network and Teamwork to Better Connect People, Science and Education

NASA Astrophysics Data System (ADS)

Scheurle, C.

2016-02-01

The project « mon océan & moi » can be described as a platform hosting several outreach activities. Some of these address non-scientific audiences in an international/national context and are specifically developed to reach out into school environments. The multidisciplinary team composed of senior and early-career scientists, science communicators and facilitators, school teachers and educators etc. shares common objectives based on (net-)work in a participatory way, so as to propose science-based dissemination with a long-term vision as well as to stimulate critical thinking, ideas and exchanges. Within this context, Internet is certainly an extremely useful tool accompanying the manifold efforts to "best" inform and communicate with the targeted audiences. However, it remains challenging to create opportunities for dialogue at the interface of science and education … and to encourage this dialogue to carry on. « mon océan & moi » covers a few successful outreach activities ("adopt a float" and "MEDITES") that involve scientists and teachers as well as students from universities and schools. Encouraged by the local school authority, these activities aim at different educational levels and suggest a continuous "workflow" combined with specific events (such as training courses, science fairs) during which particular contributions are highlighted. As their approach principally favors teamwork, the most positive outcome observed has been the creation of partnerships truly connecting the people …

Big data in forensic science and medicine.

PubMed

Lefèvre, Thomas

2018-07-01

In less than a decade, big data in medicine has become quite a phenomenon and many biomedical disciplines got their own tribune on the topic. Perspectives and debates are flourishing while there is a lack for a consensual definition for big data. The 3Vs paradigm is frequently evoked to define the big data principles and stands for Volume, Variety and Velocity. Even according to this paradigm, genuine big data studies are still scarce in medicine and may not meet all expectations. On one hand, techniques usually presented as specific to the big data such as machine learning techniques are supposed to support the ambition of personalized, predictive and preventive medicines. These techniques are mostly far from been new and are more than 50 years old for the most ancient. On the other hand, several issues closely related to the properties of big data and inherited from other scientific fields such as artificial intelligence are often underestimated if not ignored. Besides, a few papers temper the almost unanimous big data enthusiasm and are worth attention since they delineate what is at stakes. In this context, forensic science is still awaiting for its position papers as well as for a comprehensive outline of what kind of contribution big data could bring to the field. The present situation calls for definitions and actions to rationally guide research and practice in big data. It is an opportunity for grounding a true interdisciplinary approach in forensic science and medicine that is mainly based on evidence. Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Machine learning for Big Data analytics in plants.

PubMed

Ma, Chuang; Zhang, Hao Helen; Wang, Xiangfeng

2014-12-01

Rapid advances in high-throughput genomic technology have enabled biology to enter the era of 'Big Data' (large datasets). The plant science community not only needs to build its own Big-Data-compatible parallel computing and data management infrastructures, but also to seek novel analytical paradigms to extract information from the overwhelming amounts of data. Machine learning offers promising computational and analytical solutions for the integrative analysis of large, heterogeneous and unstructured datasets on the Big-Data scale, and is gradually gaining popularity in biology. This review introduces the basic concepts and procedures of machine-learning applications and envisages how machine learning could interface with Big Data technology to facilitate basic research and biotechnology in the plant sciences. Copyright © 2014 Elsevier Ltd. All rights reserved.

["Big data" - large data, a lot of knowledge?].

PubMed

Hothorn, Torsten

2015-01-28

Since a couple of years, the term Big Data describes technologies to extract knowledge from data. Applications of Big Data and their consequences are also increasingly discussed in the mass media. Because medicine is an empirical science, we discuss the meaning of Big Data and its potential for future medical research.

"Air Toxics under the Big Sky": Examining the Effectiveness of Authentic Scientific Research on High School Students' Science Skills and Interest

ERIC Educational Resources Information Center

Ward, Tony J.; Delaloye, Naomi; Adams, Earle Raymond; Ware, Desirae; Vanek, Diana; Knuth, Randy; Hester, Carolyn Laurie; Marra, Nancy Noel; Holian, Andrij

2016-01-01

"Air Toxics Under the Big Sky" is an environmental science outreach/education program that incorporates the Next Generation Science Standards (NGSS) 8 Practices with the goal of promoting knowledge and understanding of authentic scientific research in high school classrooms through air quality research. This research explored: (1)…

Integrating teamwork, clinician occupational well-being and patient safety - development of a conceptual framework based on a systematic review.

PubMed

Welp, Annalena; Manser, Tanja

2016-07-19

There is growing evidence that teamwork in hospitals is related to both patient outcomes and clinician occupational well-being. Furthermore, clinician well-being is associated with patient safety. Despite considerable research activity, few studies include all three concepts, and their interrelations have not yet been investigated systematically. To advance our understanding of these potentially complex interrelations we propose an integrative framework taking into account current evidence and research gaps identified in a systematic review. We conducted a literature search in six major databases (Medline, PsycArticles, PsycInfo, Psyndex, ScienceDirect, and Web of Knowledge). Inclusion criteria were: peer reviewed papers published between January 2000 and June 2015 investigating a statistical relationship between at least two of the three concepts; teamwork, patient safety, and clinician occupational well-being in hospital settings, including practicing nurses and physicians. We assessed methodological quality using a standardized rating system and qualitatively appraised and extracted relevant data, such as instruments, analyses and outcomes. The 98 studies included in this review were highly diverse regarding quality, methodology and outcomes. We found support for the existence of independent associations between teamwork, clinician occupational well-being and patient safety. However, we identified several conceptual and methodological limitations. The main barrier to advancing our understanding of the causal relationships between teamwork, clinician well-being and patient safety is the lack of an integrative, theory-based, and methodologically thorough approach investigating the three concepts simultaneously and longitudinally. Based on psychological theory and our findings, we developed an integrative framework that addresses these limitations and proposes mechanisms by which these concepts might be linked. Knowledge about the mechanisms underlying the relationships between these concepts helps to identify avenues for future research, aimed at benefiting clinicians and patients by using the synergies between teamwork, clinician occupational well-being and patient safety.

From big data to deep insight in developmental science

PubMed Central

2016-01-01

The use of the term ‘big data’ has grown substantially over the past several decades and is now widespread. In this review, I ask what makes data ‘big’ and what implications the size, density, or complexity of datasets have for the science of human development. A survey of existing datasets illustrates how existing large, complex, multilevel, and multimeasure data can reveal the complexities of developmental processes. At the same time, significant technical, policy, ethics, transparency, cultural, and conceptual issues associated with the use of big data must be addressed. Most big developmental science data are currently hard to find and cumbersome to access, the field lacks a culture of data sharing, and there is no consensus about who owns or should control research data. But, these barriers are dissolving. Developmental researchers are finding new ways to collect, manage, store, share, and enable others to reuse data. This promises a future in which big data can lead to deeper insights about some of the most profound questions in behavioral science. WIREs Cogn Sci 2016, 7:112–126. doi: 10.1002/wcs.1379 For further resources related to this article, please visit the WIREs website. PMID:26805777

Nursing Management Minimum Data Set: Cost-Effective Tool To Demonstrate the Value of Nurse Staffing in the Big Data Science Era.

PubMed

Pruinelli, Lisiane; Delaney, Connie W; Garciannie, Amy; Caspers, Barbara; Westra, Bonnie L

2016-01-01

There is a growing body of evidence of the relationship of nurse staffing to patient, nurse, and financial outcomes. With the advent of big data science and developing big data analytics in nursing, data science with the reuse of big data is emerging as a timely and cost-effective approach to demonstrate nursing value. The Nursing Management Minimum Date Set (NMMDS) provides standard administrative data elements, definitions, and codes to measure the context where care is delivered and, consequently, the value of nursing. The integration of the NMMDS elements in the current health system provides evidence for nursing leaders to measure and manage decisions, leading to better patient, staffing, and financial outcomes. It also enables the reuse of data for clinical scholarship and research.

A multi-level systems perspective for the science of team science.

PubMed

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J; Fiore, Stephen M; Hall, Kara L; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2010-09-15

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the "science of team science" (SciTS, pronounced "sahyts"). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field's evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis.

News Conference: The Big Bangor Day Meeting Lecture: Charterhouse plays host to a physics day Festival: Science on Stage festival 2013 arrives in Poland Event: Scottish Physics Teachers' Summer School Meeting: Researchers and educators meet at Lund University Conference: Exeter marks the spot Recognition: European Physical Society uncovers an historic site Education: Initial teacher education undergoes big changes Forthcoming events

NASA Astrophysics Data System (ADS)

2013-09-01

Conference: The Big Bangor Day Meeting Lecture: Charterhouse plays host to a physics day Festival: Science on Stage festival 2013 arrives in Poland Event: Scottish Physics Teachers' Summer School Meeting: Researchers and educators meet at Lund University Conference: Exeter marks the spot Recognition: European Physical Society uncovers an historic site Education: Initial teacher education undergoes big changes Forthcoming events

Assessing Conceptual Understanding via Literacy-Infused, Inquiry-Based Science among Middle School English Learners and Economically-Challenged Students

ERIC Educational Resources Information Center

Lara-Alecio, Rafael; Irby, Beverly J.; Tong, Fuhui; Guerrero, Cindy; Koch, Janice; Sutton-Jones, Kara L.

2018-01-01

The overarching purpose of our study was to compare performances of treatment and control condition students who completed a literacy-infused, inquiry-based science intervention through sixth grade as measured by a big idea assessment tool which we refer to as the Big Ideas in Science Assessment (BISA). First, we determine the concurrent validity…

Big-Data-Driven Stem Cell Science and Tissue Engineering: Vision and Unique Opportunities.

PubMed

Del Sol, Antonio; Thiesen, Hans J; Imitola, Jaime; Carazo Salas, Rafael E

2017-02-02

Achieving the promises of stem cell science to generate precise disease models and designer cell samples for personalized therapeutics will require harnessing pheno-genotypic cell-level data quantitatively and predictively in the lab and clinic. Those requirements could be met by developing a Big-Data-driven stem cell science strategy and community. Copyright © 2017 Elsevier Inc. All rights reserved.

Fair and Just Culture, Team Behavior, and Leadership Engagement: The Tools to Achieve High Reliability

PubMed Central

Frankel, Allan S; Leonard, Michael W; Denham, Charles R

2006-01-01

Background Disparate health care provider attitudes about autonomy, teamwork, and administrative operations have added to the complexity of health care delivery and are a central factor in medicine's unacceptably high rate of errors. Other industries have improved their reliability by applying innovative concepts to interpersonal relationships and administrative hierarchical structures (Chandler 1962). In the last 10 years the science of patient safety has become more sophisticated, with practical concepts identified and tested to improve the safety and reliability of care. Objective Three initiatives stand out as worthy regarding interpersonal relationships and the application of provider concerns to shape operational change: The development and implementation of Fair and Just Culture principles, the broad use of Teamwork Training and Communication, and tools like WalkRounds that promote the alignment of leadership and frontline provider perspectives through effective use of adverse event data and provider comments. Methods Fair and Just Culture, Teamwork Training, and WalkRounds are described, and implementation examples provided. The argument is made that they must be systematically and consistently implemented in an integrated fashion. Conclusions There are excellent examples of institutions applying Just Culture principles, Teamwork Training, and Leadership WalkRounds—but to date, they have not been comprehensively instituted in health care organizations in a cohesive and interdependent manner. To achieve reliability, organizations need to begin thinking about the relationship between these efforts and linking them conceptually. PMID:16898986

The BIG Data Center: from deposition to integration to translation

PubMed Central

2017-01-01

Biological data are generated at unprecedentedly exponential rates, posing considerable challenges in big data deposition, integration and translation. The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, including (i) Genome Sequence Archive, a data repository specialized for archiving raw sequence reads, (ii) Gene Expression Nebulas, a data portal of gene expression profiles based entirely on RNA-Seq data, (iii) Genome Variation Map, a comprehensive collection of genome variations for featured species, (iv) Genome Warehouse, a centralized resource housing genome-scale data with particular focus on economically important animals and plants, (v) Methylation Bank, an integrated database of whole-genome single-base resolution methylomes and (vi) Science Wikis, a central access point for biological wikis developed for community annotations. The BIG Data Center is dedicated to constructing and maintaining biological databases through big data integration and value-added curation, conducting basic research to translate big data into big knowledge and providing freely open access to a variety of data resources in support of worldwide research activities in both academia and industry. All of these resources are publicly available and can be found at http://bigd.big.ac.cn. PMID:27899658

Team building: a leadership strategy.

PubMed

San Juan, S P

1998-01-01

This paper will present the importance of teamwork, as well as those behavioral science principles relative to team-building in an organization. Characteristics of an effective work team and some important dimensions of supervisory leadership including inputs on how members of a task group can contribute to team-building will be described. Some guidelines for supervisors and employees in connection with teamwork will be discussed. Human beings of every age are finding their time consumed by the demands of organizations to which they "belong" and still are badgered to join other groups during a lifetime. In the International College of Dentists, Philippine Section, where we pride ourselves to be a part of, membership is defined. We are supposed to be endowed with group consciousness, a sense of purpose, an interaction among ourselves, and interdependence in the satisfaction of our needs in a unitary manner. In essence, we are linked by some common, identifiable characteristics bound by the element of teamwork for the achievement of a common desirable goal. A leadership style that emphasizes team-building, therefore ensures not only that a job gets done, but it is done efficiently, effectively and harmoniously.

The Eight-Step Method to Great Group Work

ERIC Educational Resources Information Center

Steward, Sally; Swango, Jill

2004-01-01

Many science teachers already understand the importance of cooperative learning in the classroom and during lab exercises. From a theoretical perspective, students working in groups learn teamwork and discussion techniques as well as how to formulate and ask questions amongst themselves. From a practical standpoint, group work saves precious…

Construction of Trust Judgments within Cooperative Dyads

ERIC Educational Resources Information Center

Evin, Agathe; Sève, Carole; Saury, Jacques

2014-01-01

Introduction: One of the aims of physical education (PE) is to develop social skills such as cooperation, teamwork, and mutual helping among students. Cooperation is a broad research topic, implicating several disciplines in the human sciences (e.g. psychology, sociology, linguistics, philosophy). It is also an important topic in various domains…

The New Big Science at the NSLS

NASA Astrophysics Data System (ADS)

Crease, Robert

2016-03-01

The term ``New Big Science'' refers to a phase shift in the kind of large-scale science that was carried out throughout the U.S. National Laboratory system, when large-scale materials science accelerators rather than high-energy physics accelerators became marquee projects at most major basic research laboratories in the post-Cold War era, accompanied by important changes in the character and culture of the research ecosystem at these laboratories. This talk explores some aspects of this phase shift at BNL's National Synchrotron Light Source.

Examining the Big-Fish-Little-Pond Effect on Students' Self-Concept of Learning Science in Taiwan Based on the TIMSS Databases

ERIC Educational Resources Information Center

Liou, Pey-Yan

2014-01-01

The purpose of this study is to examine the relationship between student self-concept and achievement in science in Taiwan based on the big-fish-little-pond effect (BFLPE) model using the Trends in International Mathematics and Science Study (TIMSS) 2003 and 2007 databases. Hierarchical linear modeling was used to examine the effects of the…

A Proposed Concentration Curriculum Design for Big Data Analytics for Information Systems Students

ERIC Educational Resources Information Center

Molluzzo, John C.; Lawler, James P.

2015-01-01

Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…

Perspective: Materials informatics and big data: Realization of the "fourth paradigm" of science in materials science

NASA Astrophysics Data System (ADS)

Agrawal, Ankit; Choudhary, Alok

2016-05-01

Our ability to collect "big data" has greatly surpassed our capability to analyze it, underscoring the emergence of the fourth paradigm of science, which is data-driven discovery. The need for data informatics is also emphasized by the Materials Genome Initiative (MGI), further boosting the emerging field of materials informatics. In this article, we look at how data-driven techniques are playing a big role in deciphering processing-structure-property-performance relationships in materials, with illustrative examples of both forward models (property prediction) and inverse models (materials discovery). Such analytics can significantly reduce time-to-insight and accelerate cost-effective materials discovery, which is the goal of MGI.

To See the Unseen: A History of Planetary Radar Astronomy

NASA Technical Reports Server (NTRS)

Butrica, Andrew J.

1996-01-01

This book relates the history of planetary radar astronomy from its origins in radar to the present day and secondarily to bring to light that history as a case of 'Big Equipment but not Big Science'. Chapter One sketches the emergence of radar astronomy as an ongoing scientific activity at Jodrell Bank, where radar research revealed that meteors were part of the solar system. The chief Big Science driving early radar astronomy experiments was ionospheric research. Chapter Two links the Cold War and the Space Race to the first radar experiments attempted on planetary targets, while recounting the initial achievements of planetary radar, namely, the refinement of the astronomical unit and the rotational rate and direction of Venus. Chapter Three discusses early attempts to organize radar astronomy and the efforts at MIT's Lincoln Laboratory, in conjunction with Harvard radio astronomers, to acquire antenna time unfettered by military priorities. Here, the chief Big Science influencing the development of planetary radar astronomy was radio astronomy. Chapter Four spotlights the evolution of planetary radar astronomy at the Jet Propulsion Laboratory, a NASA facility, at Cornell University's Arecibo Observatory, and at Jodrell Bank. A congeries of funding from the military, the National Science Foundation, and finally NASA marked that evolution, which culminated in planetary radar astronomy finding a single Big Science patron, NASA. Chapter Five analyzes planetary radar astronomy as a science using the theoretical framework provided by philosopher of science Thomas Kuhn. Chapter Six explores the shift in planetary radar astronomy beginning in the 1970s that resulted from its financial and institutional relationship with NASA Big Science. Chapter Seven addresses the Magellan mission and its relation to the evolution of planetary radar astronomy from a ground-based to a space-based activity. Chapters Eight and Nine discuss the research carried out at ground-based facilities by this transformed planetary radar astronomy, as well as the upgrading of the Arecibo and Goldstone radars. A technical essay appended to this book provides an overview of planetary radar techniques, especially range-Doppler mapping.

Business and Science - Big Data, Big Picture

NASA Astrophysics Data System (ADS)

Rosati, A.

2013-12-01

Data Science is more than the creation, manipulation, and transformation of data. It is more than Big Data. The business world seems to have a hold on the term 'data science' and, for now, they define what it means. But business is very different than science. In this talk, I address how large datasets, Big Data, and data science are conceptually different in business and science worlds. I focus on the types of questions each realm asks, the data needed, and the consequences of findings. Gone are the days of datasets being created or collected to serve only one purpose or project. The trick with data reuse is to become familiar enough with a dataset to be able to combine it with other data and extract accurate results. As a Data Curator for the Advanced Cooperative Arctic Data and Information Service (ACADIS), my specialty is communication. Our team enables Arctic sciences by ensuring datasets are well documented and can be understood by reusers. Previously, I served as a data community liaison for the North American Regional Climate Change Assessment Program (NARCCAP). Again, my specialty was communicating complex instructions and ideas to a broad audience of data users. Before entering the science world, I was an entrepreneur. I have a bachelor's degree in economics and a master's degree in environmental social science. I am currently pursuing a Ph.D. in Geography. Because my background has embraced both the business and science worlds, I would like to share my perspectives on data, data reuse, data documentation, and the presentation or communication of findings. My experiences show that each can inform and support the other.

Earth Science Data Analysis in the Era of Big Data

NASA Technical Reports Server (NTRS)

Kuo, K.-S.; Clune, T. L.; Ramachandran, R.

2014-01-01

Anyone with even a cursory interest in information technology cannot help but recognize that "Big Data" is one of the most fashionable catchphrases of late. From accurate voice and facial recognition, language translation, and airfare prediction and comparison, to monitoring the real-time spread of flu, Big Data techniques have been applied to many seemingly intractable problems with spectacular successes. They appear to be a rewarding way to approach many currently unsolved problems. Few fields of research can claim a longer history with problems involving voluminous data than Earth science. The problems we are facing today with our Earth's future are more complex and carry potentially graver consequences than the examples given above. How has our climate changed? Beside natural variations, what is causing these changes? What are the processes involved and through what mechanisms are these connected? How will they impact life as we know it? In attempts to answer these questions, we have resorted to observations and numerical simulations with ever-finer resolutions, which continue to feed the "data deluge." Plausibly, many Earth scientists are wondering: How will Big Data technologies benefit Earth science research? As an example from the global water cycle, one subdomain among many in Earth science, how would these technologies accelerate the analysis of decades of global precipitation to ascertain the changes in its characteristics, to validate these changes in predictive climate models, and to infer the implications of these changes to ecosystems, economies, and public health? Earth science researchers need a viable way to harness the power of Big Data technologies to analyze large volumes and varieties of data with velocity and veracity. Beyond providing speedy data analysis capabilities, Big Data technologies can also play a crucial, albeit indirect, role in boosting scientific productivity by facilitating effective collaboration within an analysis environment. To illustrate the effects of combining a Big Data technology with an effective means of collaboration, we relate the (fictitious) experience of an early-career Earth science researcher a few years beyond the present, interlaced and contrasted with reminiscences of its recent past (i.e., the present).

Who Owns Educational Theory? Big Data, Algorithms and the Expert Power of Education Data Science

ERIC Educational Resources Information Center

Williamson, Ben

2017-01-01

"Education data science" is an emerging methodological field which possesses the algorithm-driven technologies required to generate insights and knowledge from educational big data. This article consists of an analysis of the Lytics Lab, Stanford University's laboratory for research and development in learning analytics, and the Center…

Big Data: Philosophy, Emergence, Crowdledge, and Science Education

ERIC Educational Resources Information Center

dos Santos, Renato P.

2015-01-01

Big Data already passed out of hype, is now a field that deserves serious academic investigation, and natural scientists should also become familiar with Analytics. On the other hand, there is little empirical evidence that any science taught in school is helping people to lead happier, more prosperous, or more politically well-informed lives. In…

Discourse, Power, and Knowledge in the Management of "Big Science": The Production of Consensus in a Nuclear Fusion Research Laboratory.

ERIC Educational Resources Information Center

Kinsella, William J.

1999-01-01

Extends a Foucauldian view of power/knowledge to the archetypical knowledge-intensive organization, the scientific research laboratory. Describes the discursive production of power/knowledge at the "big science" laboratory conducting nuclear fusion research and illuminates a critical incident in which the fusion research…

Big Images and Big Ideas!

ERIC Educational Resources Information Center

McCullagh, John; Greenwood, Julian

2011-01-01

In this digital age, is primary science being left behind? Computer microscopes provide opportunities to transform science lessons into highly exciting learning experiences and to shift enquiry and discovery back into the hands of the children. A class of 5- and 6-year-olds was just one group of children involved in the Digitally Resourced…

A Guided Inquiry on Hubble Plots and the Big Bang

ERIC Educational Resources Information Center

Forringer, Ted

2014-01-01

In our science for non-science majors course "21st Century Physics," we investigate modern "Hubble plots" (plots of velocity versus distance for deep space objects) in order to discuss the Big Bang, dark matter, and dark energy. There are two potential challenges that our students face when encountering these topics for the…

The community-driven BiG CZ software system for integration and analysis of bio- and geoscience data in the critical zone

NASA Astrophysics Data System (ADS)

Aufdenkampe, A. K.; Mayorga, E.; Horsburgh, J. S.; Lehnert, K. A.; Zaslavsky, I.; Valentine, D. W., Jr.; Richard, S. M.; Cheetham, R.; Meyer, F.; Henry, C.; Berg-Cross, G.; Packman, A. I.; Aronson, E. L.

2014-12-01

Here we present the prototypes of a new scientific software system designed around the new Observations Data Model version 2.0 (ODM2, https://github.com/UCHIC/ODM2) to substantially enhance integration of biological and Geological (BiG) data for Critical Zone (CZ) science. The CZ science community takes as its charge the effort to integrate theory, models and data from the multitude of disciplines collectively studying processes on the Earth's surface. The central scientific challenge of the CZ science community is to develop a "grand unifying theory" of the critical zone through a theory-model-data fusion approach, for which the key missing need is a cyberinfrastructure for seamless 4D visual exploration of the integrated knowledge (data, model outputs and interpolations) from all the bio and geoscience disciplines relevant to critical zone structure and function, similar to today's ability to easily explore historical satellite imagery and photographs of the earth's surface using Google Earth. This project takes the first "BiG" steps toward answering that need. The overall goal of this project is to co-develop with the CZ science and broader community, including natural resource managers and stakeholders, a web-based integration and visualization environment for joint analysis of cross-scale bio and geoscience processes in the critical zone (BiG CZ), spanning experimental and observational designs. We will: (1) Engage the CZ and broader community to co-develop and deploy the BiG CZ software stack; (2) Develop the BiG CZ Portal web application for intuitive, high-performance map-based discovery, visualization, access and publication of data by scientists, resource managers, educators and the general public; (3) Develop the BiG CZ Toolbox to enable cyber-savvy CZ scientists to access BiG CZ Application Programming Interfaces (APIs); and (4) Develop the BiG CZ Central software stack to bridge data systems developed for multiple critical zone domains into a single metadata catalog. The entire BiG CZ Software system is being developed on public repositories as a modular suite of open source software projects. It will be built around a new Observations Data Model Version 2.0 (ODM2) that has been developed by members of the BiG CZ project team, with community input, under separate funding.

From Darwin to the Census of Marine Life: Marine Biology as Big Science

PubMed Central

Vermeulen, Niki

2013-01-01

With the development of the Human Genome Project, a heated debate emerged on biology becoming ‘big science’. However, biology already has a long tradition of collaboration, as natural historians were part of the first collective scientific efforts: exploring the variety of life on earth. Such mappings of life still continue today, and if field biology is gradually becoming an important subject of studies into big science, research into life in the world's oceans is not taken into account yet. This paper therefore explores marine biology as big science, presenting the historical development of marine research towards the international ‘Census of Marine Life’ (CoML) making an inventory of life in the world's oceans. Discussing various aspects of collaboration – including size, internationalisation, research practice, technological developments, application, and public communication – I will ask if CoML still resembles traditional collaborations to collect life. While showing both continuity and change, I will argue that marine biology is a form of natural history: a specific way of working together in biology that has transformed substantially in interaction with recent developments in the life sciences and society. As a result, the paper does not only give an overview of transformations towards large scale research in marine biology, but also shines a new light on big biology, suggesting new ways to deepen the understanding of collaboration in the life sciences by distinguishing between different ‘collective ways of knowing’. PMID:23342119

Big data and visual analytics in anaesthesia and health care.

PubMed

Simpao, A F; Ahumada, L M; Rehman, M A

2015-09-01

Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement. Analytics--the systematic use of data combined with quantitative and qualitative analysis to make decisions--can be applied to big data for quality and performance improvements, such as predictive risk assessment, clinical decision support, and resource management. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it can facilitate performance of cognitive activities involving big data. Ongoing integration of big data and analytics within anaesthesia and health care will increase demand for anaesthesia professionals who are well versed in both the medical and the information sciences. © The Author 2015. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The BIG Data Center: from deposition to integration to translation.

PubMed

2017-01-04

Biological data are generated at unprecedentedly exponential rates, posing considerable challenges in big data deposition, integration and translation. The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, including (i) Genome Sequence Archive, a data repository specialized for archiving raw sequence reads, (ii) Gene Expression Nebulas, a data portal of gene expression profiles based entirely on RNA-Seq data, (iii) Genome Variation Map, a comprehensive collection of genome variations for featured species, (iv) Genome Warehouse, a centralized resource housing genome-scale data with particular focus on economically important animals and plants, (v) Methylation Bank, an integrated database of whole-genome single-base resolution methylomes and (vi) Science Wikis, a central access point for biological wikis developed for community annotations. The BIG Data Center is dedicated to constructing and maintaining biological databases through big data integration and value-added curation, conducting basic research to translate big data into big knowledge and providing freely open access to a variety of data resources in support of worldwide research activities in both academia and industry. All of these resources are publicly available and can be found at http://bigd.big.ac.cn. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Rockets: A Teacher's Guide with Activities in Science, Mathematics, and Technology. Grades K-12.

ERIC Educational Resources Information Center

Shearer, Deborah A.; Vogt, Gregory L.

This guide contains activities that emphasize hands-on involvement, prediction, data collection and interpretation, teamwork, and problem solving. It begins with background information on the history of rocketry, scientific principles, and practical rocketry. Following the background sections are a series of activities that demonstrate the basic…

Powering the Future: A Wind Turbine Design Challenge

ERIC Educational Resources Information Center

Pries, Caitlin Hicks; Hughes, Julie

2011-01-01

Nothing brings out the best in eighth-grade physical science students quite like an engineering challenge. The wind turbine design challenge described in this article has proved to be a favorite among students with its focus on teamwork and creativity and its (almost) sneaky reinforcement of numerous physics concepts. For this activity, pairs of…

Hot-Air Balloons: Project-Centered Study as a Bridge between Science and Technology Education.

ERIC Educational Resources Information Center

Barak, Moshe; Raz, Eli

2000-01-01

Describes the development of a project-based unit on hot-air balloons used with Israeli junior high school students. Concludes that students in the program gained experience with high-level scientific principles and technological processes, the project allows for a learning environment of cooperation and teamwork, and collaboration between…

Comparative Evaluation of Online and In-Class Student Team Presentations

ERIC Educational Resources Information Center

Braun, Michael

2017-01-01

Student team presentations are commonly utilised in tertiary science courses to help students develop skills in communication, teamwork and literature research, but they are subject to constraints arising from class size, available time, and limited facilities. In an alternative approach, student teams present online using a variety of tools, such…

"Soft Power" and the Negotiation of Legitimacy: Collective Meaning Making in a Teacher Team

ERIC Educational Resources Information Center

Eddy Spicer, David H.

2013-01-01

This article interrogates the "soft power" of teacher teamwork by probing the ways in which authority conditions the appropriation of institutional motives through collective meaning making. The study analyzes the interaction of a teacher-leader and a science teacher team across two settings of professional development organized to…

Service-Learning and Emergent Communities of Practice: A Teacher Education Case Study

ERIC Educational Resources Information Center

Kaschak, Jennifer Cutsforth; Letwinsky, Karim Medico

2015-01-01

This study investigates the unexpected emergence of a community of practice in a middle level mathematics and science methods course. The authors describe how preservice teacher participation in a collaborative, project-based service-learning experience resulted in the formation of a community of practice characterized by teamwork, meaningful…

A New Perspective on Teamwork in Teaching: A Report on German Lectures in the Biological Sciences

ERIC Educational Resources Information Center

Brancaforte, Charlotte; And Others

1976-01-01

A university German department cooperated with the Zoology Department to offer a series of 13 lectures in biology, delivered in German by university scientists on their fields of research. This report discusses the background and atmosphere of the project, evaluates its effects and suggests improvements. (CHK)

Research Methodologies Explored for a Paradigm Shift in University Teaching.

ERIC Educational Resources Information Center

Venter, I. M.; Blignaut, R. J.; Stoltz, D.

2001-01-01

Innovative teaching methods such as collaborative learning, teamwork, and mind maps were introduced to teach computer science and statistics courses at a South African university. Soft systems methodology was adapted and used to manage the research process of evaluating the effectiveness of the teaching methods. This research method provided proof…

A Comparative Study on Student Perceptions of Their Learning Outcomes in Undergraduate Science Degree Programmes with Differing Curriculum Models

ERIC Educational Resources Information Center

Matthews, Kelly E.; Firn, Jennifer; Schmidt, Susanne; Whelan, Karen

2017-01-01

This study investigated students' perceptions of their graduate learning outcomes including content knowledge, communication, writing, teamwork, quantitative skills, and ethical thinking in two Australian universities. One university has a traditional discipline-orientated curriculum and the other, an interdisciplinary curriculum in the entry…

Teaching Technology with Technology. An Off-the-Shelf Robotics Course Builds Technical Center Enrollment.

ERIC Educational Resources Information Center

Hannemann, Jim; Rice, Thomas R.

1991-01-01

At the Oakland Technical Center, which provides vocational programs for nine Michigan high schools, a one-semester course in Foundations of Technology Systems uses a computer-simulated manufacturing environment to teach applied math, science, language arts, communication skills, problem solving, and teamwork in the context of technology education.…

Building Professionalism and Employability Skills: Embedding Employer Engagement within First-Year Computing Modules

ERIC Educational Resources Information Center

Hanna, Philip; Allen, Angela; Kane, Russell; Anderson, Neil; McGowan, Aidan; Collins, Matthew; Hutchison, Malcolm

2015-01-01

This paper outlines a means of improving the employability skills of first-year university students through a closely integrated model of employer engagement within computer science modules. The outlined approach illustrates how employability skills, including communication, teamwork and time management skills, can be contextualised in a manner…

Communicating the Nature of Science through "The Big Bang Theory": Evidence from a Focus Group Study

ERIC Educational Resources Information Center

Li, Rashel; Orthia, Lindy A.

2016-01-01

In this paper, we discuss a little-studied means of communicating about or teaching the nature of science (NOS)--through fiction television. We report some results of focus group research which suggest that the American sitcom "The Big Bang Theory" (2007-present), whose main characters are mostly working scientists, has influenced…

A Big Bang Lab

ERIC Educational Resources Information Center

Scheider, Walter

2005-01-01

The February 2005 issue of The Science Teacher (TST) reminded everyone that by learning how scientists study stars, students gain an understanding of how science measures things that can not be set up in lab, either because they are too big, too far away, or happened in a very distant past. The authors of "How Far are the Stars?" show how the…

Big Data and Perioperative Nursing.

PubMed

Westra, Bonnie L; Peterson, Jessica J

2016-10-01

Big data are large volumes of digital data that can be collected from disparate sources and are challenging to analyze. These data are often described with the five "Vs": volume, velocity, variety, veracity, and value. Perioperative nurses contribute to big data through documentation in the electronic health record during routine surgical care, and these data have implications for clinical decision making, administrative decisions, quality improvement, and big data science. This article explores methods to improve the quality of perioperative nursing data and provides examples of how these data can be combined with broader nursing data for quality improvement. We also discuss a national action plan for nursing knowledge and big data science and how perioperative nurses can engage in collaborative actions to transform health care. Standardized perioperative nursing data has the potential to affect care far beyond the original patient. Copyright © 2016 AORN, Inc. Published by Elsevier Inc. All rights reserved.

Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders--promises and limitations.

PubMed

Zhao, Yihong; Castellanos, F Xavier

2016-03-01

Psychiatric science remains descriptive, with a categorical nosology intended to enhance interobserver reliability. Increased awareness of the mismatch between categorical classifications and the complexity of biological systems drives the search for novel frameworks including discovery science in Big Data. In this review, we provide an overview of incipient approaches, primarily focused on classically categorical diagnoses such as schizophrenia (SZ), autism spectrum disorder (ASD), and attention-deficit/hyperactivity disorder (ADHD), but also reference convincing, if focal, advances in cancer biology, to describe the challenges of Big Data and discovery science, and outline approaches being formulated to overcome existing obstacles. A paradigm shift from categorical diagnoses to a domain/structure-based nosology and from linear causal chains to complex causal network models of brain-behavior relationship is ongoing. This (r)evolution involves appreciating the complexity, dimensionality, and heterogeneity of neuropsychiatric data collected from multiple sources ('broad' data) along with data obtained at multiple levels of analysis, ranging from genes to molecules, cells, circuits, and behaviors ('deep' data). Both of these types of Big Data landscapes require the use and development of robust and powerful informatics and statistical approaches. Thus, we describe Big Data analysis pipelines and the promise and potential limitations in using Big Data approaches to study psychiatric disorders. We highlight key resources available for psychopathological studies and call for the application and development of Big Data approaches to dissect the causes and mechanisms of neuropsychiatric disorders and identify corresponding biomarkers for early diagnosis. © 2016 Association for Child and Adolescent Mental Health.

Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders: promises and limitations

PubMed Central

Zhao, Yihong; Castellanos, F. Xavier

2015-01-01

Background and Scope Psychiatric science remains descriptive, with a categorical nosology intended to enhance inter-observer reliability. Increased awareness of the mismatch between categorical classifications and the complexity of biological systems drives the search for novel frameworks including discovery science in Big Data. In this review, we provide an overview of incipient approaches, primarily focused on classically categorical diagnoses such as schizophrenia (SZ), autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), but also reference convincing, if focal, advances in cancer biology, to describe the challenges of Big Data and discovery science, and outline approaches being formulated to overcome existing obstacles. Findings A paradigm shift from categorical diagnoses to a domain/structure-based nosology and from linear causal chains to complex causal network models of brain-behavior relationship is ongoing. This (r)evolution involves appreciating the complexity, dimensionality and heterogeneity of neuropsychiatric data collected from multiple sources (“broad” data) along with data obtained at multiple levels of analysis, ranging from genes to molecules, cells, circuits and behaviors (“deep” data). Both of these types of Big Data landscapes require the use and development of robust and powerful informatics and statistical approaches. Thus, we describe Big Data analysis pipelines and the promise and potential limitations in using Big Data approaches to study psychiatric disorders. Conclusion We highlight key resources available for psychopathological studies and call for the application and development of Big Data approaches to dissect the causes and mechanisms of neuropsychiatric disorders and identify corresponding biomarkers for early diagnosis. PMID:26732133

An Event-Based Approach to Design a Teamwork Training Scenario and Assessment Tool in Surgery.

PubMed

Nguyen, Ngan; Watson, William D; Dominguez, Edward

2016-01-01

Simulation is a technique recommended for teaching and measuring teamwork, but few published methodologies are available on how best to design simulation for teamwork training in surgery and health care in general. The purpose of this article is to describe a general methodology, called event-based approach to training (EBAT), to guide the design of simulation for teamwork training and discuss its application to surgery. The EBAT methodology draws on the science of training by systematically introducing training exercise events that are linked to training requirements (i.e., competencies being trained and learning objectives) and performance assessment. The EBAT process involves: Of the 4 teamwork competencies endorsed by the Agency for Healthcare Research Quality and Department of Defense, "communication" was chosen to be the focus of our training efforts. A total of 5 learning objectives were defined based on 5 validated teamwork and communication techniques. Diagnostic laparoscopy was chosen as the clinical context to frame the training scenario, and 29 KSAs were defined based on review of published literature on patient safety and input from subject matter experts. Critical events included those that correspond to a specific phase in the normal flow of a surgical procedure as well as clinical events that may occur when performing the operation. Similar to the targeted KSAs, targeted responses to the critical events were developed based on existing literature and gathering input from content experts. Finally, a 29-item EBAT-derived checklist was created to assess communication performance. Like any instructional tool, simulation is only effective if it is designed and implemented appropriately. It is recognized that the effectiveness of simulation depends on whether (1) it is built upon a theoretical framework, (2) it uses preplanned structured exercises or events to allow learners the opportunity to exhibit the targeted KSAs, (3) it assesses performance, and (4) it provides formative and constructive feedback to bridge the gap between the learners' KSAs and the targeted KSAs. The EBAT methodology guides the design of simulation that incorporates these 4 features and, thus, enhances training effectiveness with simulation. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

A Demonstration of Big Data Technology for Data Intensive Earth Science (Invited)

NASA Astrophysics Data System (ADS)

Kuo, K.; Clune, T.; Ramachandran, R.; Rushing, J.; Fekete, G.; Lin, A.; Doan, K.; Oloso, A. O.; Duffy, D.

2013-12-01

Big Data technologies exhibit great potential to change the way we conduct scientific investigations, especially analysis of voluminous and diverse data sets. Obviously, not all Big Data technologies are applicable to all aspects of scientific data analysis. Our NASA Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) project, Automated Event Service (AES), pioneers the exploration of Big Data technologies for data intensive Earth science. Since Earth science data are largely stored and manipulated in the form of multidimensional arrays, the project first evaluates array performance of several candidate Big Data technologies, including MapReduce (Hadoop), SciDB, and a custom-built Polaris system, which have one important feature in common: shared nothing architecture. The evaluation finds SicDB to be the most promising. In this presentation, we demonstrate SciDB using a couple of use cases, each operating on a distinct data set in the regular latitude-longitude grid. The first use case is the discovery and identification of blizzards using NASA's Modern Era Retrospective-analysis for Research and Application (MERRA) data sets. The other finds diurnal signals in the same 8-year period using SSMI data from three different instruments with different equator crossing times by correlating their retrieved parameters. In addition, the AES project is also developing a collaborative component to enable the sharing of event queries and results. Preliminary capabilities will be presented as well.

Management Commitment to Safety, Teamwork, and Hospital Worker Injuries.

PubMed

McGonagle, Alyssa K; Essenmacher, Lynnette; Hamblin, Lydia; Luborsky, Mark; Upfal, Mark; Arnetz, Judith

2016-01-01

Although many studies link teamwork in health care settings to patient safety, evidence linking teamwork to hospital worker safety is lacking. This study addresses this gap by providing evidence linking teamwork perceptions in hospital workers to worker injuries, and further, finds a linkage between manager commitment to safety and teamwork. Organizational records of worker injuries and survey responses regarding management commitment to safety and teamwork from 446 hospital workers within 42 work units in a multi-site hospital system were examined. Results underscored the particular importance of teamwork on worker injuries as well as the importance of management commitment to safety as relating to teamwork. To improve worker safety, organizational leaders and unit managers should work to maintain environments wherein teamwork can thrive.

Management Commitment to Safety, Teamwork, and Hospital Worker Injuries

PubMed Central

McGonagle, Alyssa K.; Essenmacher, Lynnette; Hamblin, Lydia; Luborsky, Mark; Upfal, Mark; Arnetz, Judith

2016-01-01

Although many studies link teamwork in health care settings to patient safety, evidence linking teamwork to hospital worker safety is lacking. This study addresses this gap by providing evidence linking teamwork perceptions in hospital workers to worker injuries, and further, finds a linkage between manager commitment to safety and teamwork. Organizational records of worker injuries and survey responses regarding management commitment to safety and teamwork from 446 hospital workers within 42 work units in a multi-site hospital system were examined. Results underscored the particular importance of teamwork on worker injuries as well as the importance of management commitment to safety as relating to teamwork. To improve worker safety, organizational leaders and unit managers should work to maintain environments wherein teamwork can thrive. PMID:27867448

Foundations of teamwork and collaboration.

PubMed

Driskell, James E; Salas, Eduardo; Driskell, Tripp

2018-01-01

The term teamwork has graced countless motivational posters and office walls. However, although teamwork is often easy to observe, it is somewhat more difficult to describe and yet more difficult to produce. At a broad level, teamwork is the process through which team members collaborate to achieve task goals. Teamwork refers to the activities through which team inputs translate into team outputs such as team effectiveness and satisfaction. In this article, we describe foundational research underlying current research on teamwork. We examine the evolution of team process models and outline primary teamwork dimensions. We discuss selection, training, and design approaches to enhancing teamwork, and note current applications of teamwork research in real-world settings. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Ahead of the game: the use of gaming to enhance knowledge of psychopharmacology.

PubMed

Beek, Terra S; Boone, Cheryl; Hubbard, Grace

2014-12-01

Experiential teaching strategies have the potential to more effectively help students with critical thinking than traditional lecture formats. Gaming is an experiential teaching-learning strategy that reinforces teamwork, interaction, and enjoyment and introduces the element of play. Two Bachelor of Science in Nursing students and a clinical instructor created a Jeopardy!(®)-style game to enhance understanding of psychopharmacology, foster student engagement in the learning process, and promote student enjoyment during clinical postconference. The current article evaluates the utility, relevance, and effectiveness of gaming using a Jeopardy!(®)-style format for the psychiatric clinical setting. Students identified the strengths of this learning activity as increased awareness of knowledge deficits, as well as the reinforcement of existing knowledge and the value of teamwork. Copyright 2014, SLACK Incorporated.

The science of teamwork: Progress, reflections, and the road ahead.

PubMed

Salas, Eduardo; Reyes, Denise L; McDaniel, Susan H

2018-01-01

We need teams in nearly every aspect of our lives (e.g., hospitals, schools, flight decks, nuclear power plants, oil rigs, the military, and corporate offices). Nearly a century of psychological science has uncovered extensive knowledge about team-related processes and outcomes. In this article, we draw from the reviews and articles of this special issue to identify 10 key reflections that have arisen in the team literature, briefly summarized here. Team researchers have developed many theories surrounding the multilayered aspects of teams, such that now we have a solid theoretical basis for teams. We have recognized that the collective is often stronger than the individual, initiating the shift from individual tasks to team tasks. All teams are not created equal, so it is important to consider the context to understand relevant team dynamics and outcomes, but sometimes teams performing in different contexts are more similar than not. It is critical to have teamwork-supportive organizational conditions and environments where psychological safety can flourish and be a mechanism to resolve conflicts, ensure safety, mitigate errors, learn, and improve performance. There are also helpful teamwork competencies that can increase effectiveness across teams or tasks that have been identified (e.g., coordination, communication, and adaptability). Even if a team is made up of experts, it can still fail if they do not know how to cooperate, coordinate, and communicate well together. To ensure the improvement and maintenance of effective team functioning, the organization must implement team development interventions and evaluate relevant team outcomes with robust diagnostic measurement. We conclude with 3 main directions for scientists to expand upon in the future: (a) address issues with technology to make further improvements in team assessment, (b) learn more about multiteam systems, and (c) bridge the gap between theory and practice. In summary, the science of teams has made substantial progress but still has plenty of room for advancement. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Big Data: You Are Adding to . . . and Using It

ERIC Educational Resources Information Center

Makela, Carole J.

2016-01-01

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

Teamwork methods for accountable care: relational coordination and TeamSTEPPS®.

PubMed

Gittell, Jody Hoffer; Beswick, Joanne; Goldmann, Don; Wallack, Stanley S

2015-01-01

To deliver greater value in the accountable care context, the Institute of Medicine argues for a culture of teamwork at multiple levels--across professional and organizational siloes and with patients and their families and communities. The logic of performance improvement is that data are needed to target interventions and to assess their impact. We argue that efforts to build teamwork will benefit from teamwork measures that provide diagnostic information regarding the current state and teamwork interventions that can respond to the opportunities identified in the current state. We identify teamwork measures and teamwork interventions that are validated and that can work across multiple levels of teamwork. We propose specific ways to combine them for optimal effectiveness. We review measures of teamwork documented by Valentine, Nembhard, and Edmondson and select those that they identified as satisfying the four criteria for psychometric validation and as being unbounded and therefore able to measure teamwork across multiple levels. We then consider teamwork interventions that are widely used in the U.S. health care context, are well validated based on their association with outcomes, and are capable of working at multiple levels of teamwork. We select the top candidate in each category and propose ways to combine them for optimal effectiveness. We find relational coordination is a validated multilevel teamwork measure and TeamSTEPPS® is a validated multilevel teamwork intervention and propose specific ways for the relational coordination measure to enhance the TeamSTEPPS intervention. Health care systems and change agents seeking to respond to the challenges of accountable care can use TeamSTEPPS as a validated multilevel teamwork intervention methodology, enhanced by relational coordination as a validated multilevel teamwork measure with diagnostic capacity to pinpoint opportunities for improving teamwork along specific dimensions (e.g., shared knowledge, timely communication) and in specific role relationships (e.g., nurse/medical assistant, emergency unit/medical unit, primary care/specialty care).

Big Data Science Education: A Case Study of a Project-Focused Introductory Course

ERIC Educational Resources Information Center

Saltz, Jeffrey; Heckman, Robert

2015-01-01

This paper reports on a case study of a project-focused introduction to big data science course. The pedagogy of the course leveraged boundary theory, where students were positioned to be at the boundary between a client's desire to understand their data and the academic class. The results of the case study demonstrate that using live clients…

Big data and clinicians: a review on the state of the science.

PubMed

Wang, Weiqi; Krishnan, Eswar

2014-01-17

In the past few decades, medically related data collection saw a huge increase, referred to as big data. These huge datasets bring challenges in storage, processing, and analysis. In clinical medicine, big data is expected to play an important role in identifying causality of patient symptoms, in predicting hazards of disease incidence or reoccurrence, and in improving primary-care quality. The objective of this review was to provide an overview of the features of clinical big data, describe a few commonly employed computational algorithms, statistical methods, and software toolkits for data manipulation and analysis, and discuss the challenges and limitations in this realm. We conducted a literature review to identify studies on big data in medicine, especially clinical medicine. We used different combinations of keywords to search PubMed, Science Direct, Web of Knowledge, and Google Scholar for literature of interest from the past 10 years. This paper reviewed studies that analyzed clinical big data and discussed issues related to storage and analysis of this type of data. Big data is becoming a common feature of biological and clinical studies. Researchers who use clinical big data face multiple challenges, and the data itself has limitations. It is imperative that methodologies for data analysis keep pace with our ability to collect and store data.

A Qualitative Analysis of Narrative Preclerkship Assessment Data to Evaluate Teamwork Skills.

PubMed

Dolan, Brigid M; O'Brien, Celia Laird; Cameron, Kenzie A; Green, Marianne M

2018-04-16

Construct: Students entering the health professions require competency in teamwork. Although many teamwork curricula and assessments exist, studies have not demonstrated robust longitudinal assessment of preclerkship students' teamwork skills and attitudes. Assessment portfolios may serve to fill this gap, but it is unknown how narrative comments within portfolios describe student teamwork behaviors. We performed a qualitative analysis of narrative data in 15 assessment portfolios. Student portfolios were randomly selected from 3 groups stratified by quantitative ratings of teamwork performance gathered from small-group and clinical preceptor assessment forms. Narrative data included peer and faculty feedback from these same forms. Data were coded for teamwork-related behaviors using a constant comparative approach combined with an identification of the valence of the coded statements as either "positive observation" or "suggestion for improvement." Eight codes related to teamwork emerged: attitude and demeanor, information facilitation, leadership, preparation and dependability, professionalism, team orientation, values team member contributions, and nonspecific teamwork comments. The frequency of codes and valence varied across the 3 performance groups, with students in the low-performing group receiving more suggestions for improvement across all teamwork codes. Narrative data from assessment portfolios included specific descriptions of teamwork behavior, with important contributions provided by both faculty and peers. A variety of teamwork domains were represented. Such feedback as collected in an assessment portfolio can be used for longitudinal assessment of preclerkship student teamwork skills and attitudes.

Two Hours of Teamwork Training Improves Teamwork in Simulated Cardiopulmonary Arrest Events.

PubMed

Mahramus, Tara L; Penoyer, Daleen A; Waterval, Eugene M E; Sole, Mary L; Bowe, Eileen M

2016-01-01

Teamwork during cardiopulmonary arrest events is important for resuscitation. Teamwork improvement programs are usually lengthy. This study assessed the effectiveness of a 2-hour teamwork training program. A prospective, pretest/posttest, quasi-experimental design assessed the teamwork training program targeted to resident physicians, nurses, and respiratory therapists. Participants took part in a simulated cardiac arrest. After the simulation, participants and trained observers assessed perceptions of teamwork using the Team Emergency Assessment Measure (TEAM) tool (ratings of 0 [low] to 4 [high]). A debriefing and 45 minutes of teamwork education followed. Participants then took part in a second simulated cardiac arrest scenario. Afterward, participants and observers assessed teamwork. Seventy-three team members participated-resident physicians (25%), registered nurses (32%), and respiratory therapists (41%). The physicians had significantly less experience on code teams (P < .001). Baseline teamwork scores were 2.57 to 2.72. Participants' mean (SD) scores on the TEAM tool for the first and second simulations were 3.2 (0.5) and 3.7 (0.4), respectively (P < .001). Observers' mean (SD) TEAM scores for the first and second simulations were 3.0 (0.5) and 3.7 (0.3), respectively (P < .001). Program evaluations by participants were positive. A 2-hour simulation-based teamwork educational intervention resulted in improved perceptions of teamwork behaviors. Participants reported interactions with other disciplines, teamwork behavior education, and debriefing sessions were beneficial for enhancing the program.

A leadership challenge: staff nurse perceptions after an organizational TeamSTEPPS initiative.

PubMed

Castner, Jessica; Foltz-Ramos, Kelly; Schwartz, Diane G; Ceravolo, Diane J

2012-10-01

The purpose of this study was to measure RNs' perceptions of teamwork skills and behaviors in their work environment during a multiphase multisite nursing organizational teamwork development initiative. Teamwork is essential for patient safety in healthcare organizations and nursing teams. Organizational development supporting effective teamwork should include a just culture, engaged leadership, and teamwork training. A cross-sectional survey study of bedside RNs was conducted in one 5-hospital healthcare system after a TeamSTEPPS teamwork training initiative. TeamSTEPPS teamwork training related to improved RN perceptions of leadership. Initiatives to align the perspectives and teamwork efforts of leaders and bedside nurses are indicated and should involve charge nurses in the design.

The faces of Big Science.

PubMed

Schatz, Gottfried

2014-06-01

Fifty years ago, academic science was a calling with few regulations or financial rewards. Today, it is a huge enterprise confronted by a plethora of bureaucratic and political controls. This change was not triggered by specific events or decisions but reflects the explosive 'knee' in the exponential growth that science has sustained during the past three-and-a-half centuries. Coming to terms with the demands and benefits of 'Big Science' is a major challenge for today's scientific generation. Since its foundation 50 years ago, the European Molecular Biology Organization (EMBO) has been of invaluable help in meeting this challenge.

Communication, and Team-Working Skills in Second-Year Undergraduate Chemistry Students

ERIC Educational Resources Information Center

Mc Goldrick, Niamh B.; Marzec, Bartosz; Scully, P. Noelle; Draper, Sylvia M.

2013-01-01

Since 2002, a multidisciplinary program has been used to encourage science students to build on their chemical knowledge and to appreciate how it applies to the world around them. The program is interactive and instills a new set of core learning skills that are often underrepresented in undergraduate curricula, namely, cooperative learning,…

Exploring the Extreme: High Performance Learning Activities in Mathematics, Science and Technology. An Educator's Guide. EG-2002-10-001-DFRC

ERIC Educational Resources Information Center

Dana, Judi; Kock, Meri; Lewis, Mike; Peterson, Bruce; Stowe, Steve

2010-01-01

The many activities contained in this teaching guide emphasize hands-on involvement, prediction, data collection and interpretation, teamwork, and problem solving. The guide also contains background information about aeronautical research that can help students learn how airplanes fly. Following the background sections are a series of activities…

Implementing Process Oriented Guided Inquiry Learning (POGIL) in Undergraduate Biomechanics: Lessons Learned by a Novice

ERIC Educational Resources Information Center

Simonson, Shawn R.; Shadle, Susan E.

2013-01-01

Process Oriented Guided Inquiry Learning (POGIL) uses specially designed activities and cooperative learning to teach content and to actively engage students in inquiry, analytical thinking and teamwork. It has been used extensively in Chemistry education, but the use of POGIL is not well documented in other physical and biological sciences. This…

Pilot Test of an Innovative Interprofessional Education Assessment Strategy

ERIC Educational Resources Information Center

Emmert, Michelle Christine

2011-01-01

The primary goal of this study was to test an innovative way of assessing students' teamwork skills in a controlled environment. Twenty-four second year students from Western University of Health Sciences (WesternU) participated in the experimental group and 22 third year students from WesternU participated in the control group. Students in the…

Investigative Labs in Biology: The Importance of Attending to Team Dynamics

ERIC Educational Resources Information Center

Phillips, Martha; Gildensoph, Lynne H.; Myers, Marcella J.; Norton, Cynthia G.; Olson, Andrea M.; Wygal, Deborah D.; Tweeten, Kathleen A.

2007-01-01

This article provides some tips for success in facilitating teamwork. Working collaboratively is common in science and the functioning of teams has a large impact on both the implementation of a research project and student satisfaction with the experience. The strategies are divided into what can be done to minimize problems from the start and…

New to Teaching: Small Changes Can Produce Big Results!

ERIC Educational Resources Information Center

Shenton, Megan

2017-01-01

In this article, Megan Shenton, a final-year trainee teacher at Nottinghom Trent University, describes using "The Big Question" in her science teaching in a move away from objectives. The Big Question is an innovative pedagogical choice, where instead of implementing a learning objective, a question is posed at the start of the session…

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China

PubMed Central

Huang, Ying; Zhang, Yi; Youtie, Jan; Porter, Alan L.; Wang, Xuefeng

2016-01-01

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries. PMID:27219466

Advanced Research and Data Methods in Women's Health: Big Data Analytics, Adaptive Studies, and the Road Ahead.

PubMed

Macedonia, Christian R; Johnson, Clark T; Rajapakse, Indika

2017-02-01

Technical advances in science have had broad implications in reproductive and women's health care. Recent innovations in population-level data collection and storage have made available an unprecedented amount of data for analysis while computational technology has evolved to permit processing of data previously thought too dense to study. "Big data" is a term used to describe data that are a combination of dramatically greater volume, complexity, and scale. The number of variables in typical big data research can readily be in the thousands, challenging the limits of traditional research methodologies. Regardless of what it is called, advanced data methods, predictive analytics, or big data, this unprecedented revolution in scientific exploration has the potential to dramatically assist research in obstetrics and gynecology broadly across subject matter. Before implementation of big data research methodologies, however, potential researchers and reviewers should be aware of strengths, strategies, study design methods, and potential pitfalls. Examination of big data research examples contained in this article provides insight into the potential and the limitations of this data science revolution and practical pathways for its useful implementation.

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China.

PubMed

Huang, Ying; Zhang, Yi; Youtie, Jan; Porter, Alan L; Wang, Xuefeng

2016-01-01

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.

Validation of the self-assessment teamwork tool (SATT) in a cohort of nursing and medical students.

PubMed

Roper, Lucinda; Shulruf, Boaz; Jorm, Christine; Currie, Jane; Gordon, Christopher J

2018-02-09

Poor teamwork has been implicated in medical error and teamwork training has been shown to improve patient care. Simulation is an effective educational method for teamwork training. Post-simulation reflection aims to promote learning and we have previously developed a self-assessment teamwork tool (SATT) for health students to measure teamwork performance. This study aimed to evaluate the psychometric properties of a revised self-assessment teamwork tool. The tool was tested in 257 medical and nursing students after their participation in one of several mass casualty simulations. Using exploratory and confirmatory factor analysis, the revised self-assessment teamwork tool was shown to have strong construct validity, high reliability, and the construct demonstrated invariance across groups (Medicine & Nursing). The modified SATT was shown to be a reliable and valid student self-assessment tool. The SATT is a quick and practical method of guiding students' reflection on important teamwork skills.

Measuring teamwork in health care settings: a review of survey instruments.

PubMed

Valentine, Melissa A; Nembhard, Ingrid M; Edmondson, Amy C

2015-04-01

Teamwork in health care settings is widely recognized as an important factor in providing high-quality patient care. However, the behaviors that comprise effective teamwork, the organizational factors that support teamwork, and the relationship between teamwork and patient outcomes remain empirical questions in need of rigorous study. To identify and review survey instruments used to assess dimensions of teamwork so as to facilitate high-quality research on this topic. We conducted a systematic review of articles published before September 2012 to identify survey instruments used to measure teamwork and to assess their conceptual content, psychometric validity, and relationships to outcomes of interest. We searched the ISI Web of Knowledge database, and identified relevant articles using the search terms team, teamwork, or collaboration in combination with survey, scale, measure, or questionnaire. We found 39 surveys that measured teamwork. Surveys assessed different dimensions of teamwork. The most commonly assessed dimensions were communication, coordination, and respect. Of the 39 surveys, 10 met all of the criteria for psychometric validity, and 14 showed significant relationships to nonself-report outcomes. Evidence of psychometric validity is lacking for many teamwork survey instruments. However, several psychometrically valid instruments are available. Researchers aiming to advance research on teamwork in health care should consider using or adapting one of these instruments before creating a new one. Because instruments vary considerably in the behavioral processes and emergent states of teamwork that they capture, researchers must carefully evaluate the conceptual consistency between instrument, research question, and context.

Development of a self-assessment teamwork tool for use by medical and nursing students.

PubMed

Gordon, Christopher J; Jorm, Christine; Shulruf, Boaz; Weller, Jennifer; Currie, Jane; Lim, Renee; Osomanski, Adam

2016-08-24

Teamwork training is an essential component of health professional student education. A valid and reliable teamwork self-assessment tool could assist students to identify desirable teamwork behaviours with the potential to promote learning about effective teamwork. The aim of this study was to develop and evaluate a self-assessment teamwork tool for health professional students for use in the context of emergency response to a mass casualty. The authors modified a previously published teamwork instrument designed for experienced critical care teams for use with medical and nursing students involved in mass casualty simulations. The 17-item questionnaire was administered to students immediately following the simulations. These scores were used to explore the psychometric properties of the tool, using Exploratory and Confirmatory Factor Analysis. 202 (128 medical and 74 nursing) students completed the self-assessment teamwork tool for students. Exploratory factor analysis revealed 2 factors (5 items - Teamwork coordination and communication; 4 items - Information sharing and support) and these were justified with confirmatory factor analysis. Internal consistency was 0.823 for Teamwork coordination and communication, and 0.812 for Information sharing and support. These data provide evidence to support the validity and reliability of the self-assessment teamwork tool for students This self-assessment tool could be of value to health professional students following team training activities to help them identify the attributes of effective teamwork.

From ecological records to big data: the invention of global biodiversity.

PubMed

Devictor, Vincent; Bensaude-Vincent, Bernadette

2016-12-01

This paper is a critical assessment of the epistemological impact of the systematic quantification of nature with the accumulation of big datasets on the practice and orientation of ecological science. We examine the contents of big databases and argue that it is not just accumulated information; records are translated into digital data in a process that changes their meanings. In order to better understand what is at stake in the 'datafication' process, we explore the context for the emergence and quantification of biodiversity in the 1980s, along with the concept of the global environment. In tracing the origin and development of the global biodiversity information facility (GBIF) we describe big data biodiversity projects as a techno-political construction dedicated to monitoring a new object: the global diversity. We argue that, biodiversity big data became a powerful driver behind the invention of the concept of the global environment, and a way to embed ecological science in the political agenda.

A Multifaceted Approach to Teamwork Assessment in an Undergraduate Business Program

ERIC Educational Resources Information Center

Kemery, Edward R.; Stickney, Lisa T.

2014-01-01

We describe a multifaceted, multilevel approach to teamwork learning and assessment. It includes teamwork knowledge, peer and self-appraisal of teamwork behavior, and individual and team performance on objective tests for teaching and assessing teamwork in an undergraduate business program. At the beginning of this semester-long process, students…

A Multi-Level Systems Perspective for the Science of Team Science

PubMed Central

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J.; Fiore, Stephen M.; Hall, Kara L.; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2012-01-01

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the “science of team science” (SciTS, pronounced “sahyts”). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field’s evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis. PMID:20844283

The Role of Big Data in the Social Sciences

ERIC Educational Resources Information Center

Ovadia, Steven

2013-01-01

Big Data is an increasingly popular term across scholarly and popular literature but lacks a formal definition (Lohr 2012). This is beneficial in that it keeps the term flexible. For librarians, Big Data represents a few important ideas. One idea is the idea of balancing accessibility with privacy. Librarians tend to want information to be as open…

The Whole Shebang: How Science Produced the Big Bang Model.

ERIC Educational Resources Information Center

Ferris, Timothy

2002-01-01

Offers an account of the accumulation of evidence that has led scientists to have confidence in the big bang theory of the creation of the universe. Discusses the early work of Ptolemy, Copernicus, Kepler, Galileo, and Newton, noting the rise of astrophysics, and highlighting the birth of the big bang model (the cosmic microwave background theory…

The interplay between teamwork, clinicians' emotional exhaustion, and clinician-rated patient safety: a longitudinal study.

PubMed

Welp, Annalena; Meier, Laurenz L; Manser, Tanja

2016-04-19

Effectively managing patient safety and clinicians' emotional exhaustion are important goals of healthcare organizations. Previous cross-sectional studies showed that teamwork is associated with both. However, causal relationships between all three constructs have not yet been investigated. Moreover, the role of different dimensions of teamwork in relation to emotional exhaustion and patient safety is unclear. The current study focused on the long-term development of teamwork, emotional exhaustion, and patient safety in interprofessional intensive care teams by exploring causal relationships between these constructs. A secondary objective was to disentangle the effects of interpersonal and cognitive-behavioral teamwork. We employed a longitudinal study design. Participants were 2100 nurses and physicians working in 55 intensive care units. They answered an online questionnaire on interpersonal and cognitive-behavioral aspects of teamwork, emotional exhaustion, and patient safety at three time points with a 3-month lag. Data were analyzed with cross-lagged structural equation modeling. We controlled for professional role. Analyses showed that emotional exhaustion had a lagged effect on interpersonal teamwork. Furthermore, interpersonal and cognitive-behavioral teamwork mutually influenced each other. Finally, cognitive-behavioral teamwork predicted clinician-rated patient safety. The current study shows that the interrelations between teamwork, clinician burnout, and clinician-rated patient safety unfold over time. Interpersonal and cognitive-behavioral teamwork play specific roles in a process leading from clinician emotional exhaustion to decreased clinician-rated patient safety. Emotionally exhausted clinicians are less able to engage in positive interpersonal teamwork, which might set in motion a vicious cycle: negative interpersonal team interactions negatively affect cognitive-behavioral teamwork and vice versa. Ultimately, ineffective cognitive-behavioral teamwork negatively impacts clinician-rated patient safety. Thus, reducing clinician emotional exhaustion is an important prerequisite of managing teamwork and patient safety. From a practical point of view, team-based interventions targeting patient safety are less likely to be effective when clinicians are emotionally exhausted.

Big Sib Students' Perceptions of the Educational Environment at the School of Medical Sciences, Universiti Sains Malaysia, using Dundee Ready Educational Environment Measure (DREEM) Inventory.

PubMed

Arzuman, Hafiza; Yusoff, Muhamad Saiful Bahri; Chit, Som Phong

2010-07-01

A cross-sectional descriptive study was conducted among Big Sib students to explore their perceptions of the educational environment at the School of Medical Sciences, Universiti Sains Malaysia (USM) and its weak areas using the Dundee Ready Educational Environment Measure (DREEM) inventory. The DREEM inventory is a validated global instrument for measuring educational environments in undergraduate medical and health professional education. The English version of the DREEM inventory was administered to all Year 2 Big Sib students (n = 67) at a regular Big Sib session. The purpose of the study as well as confidentiality and ethical issues were explained to the students before the questionnaire was administered. The response rate was 62.7% (42 out of 67 students). The overall DREEM score was 117.9/200 (SD 14.6). The DREEM indicated that the Big Sib students' perception of educational environment of the medical school was more positive than negative. Nevertheless, the study also revealed some problem areas within the educational environment. This pilot study revealed that Big Sib students perceived a positive learning environment at the School of Medical Sciences, USM. It also identified some low-scored areas that require further exploration to pinpoint the exact problems. The relatively small study population selected from a particular group of students was the major limitation of the study. This small sample size also means that the study findings cannot be generalised.

Database Resources of the BIG Data Center in 2018

PubMed Central

Xu, Xingjian; Hao, Lili; Zhu, Junwei; Tang, Bixia; Zhou, Qing; Song, Fuhai; Chen, Tingting; Zhang, Sisi; Dong, Lili; Lan, Li; Wang, Yanqing; Sang, Jian; Hao, Lili; Liang, Fang; Cao, Jiabao; Liu, Fang; Liu, Lin; Wang, Fan; Ma, Yingke; Xu, Xingjian; Zhang, Lijuan; Chen, Meili; Tian, Dongmei; Li, Cuiping; Dong, Lili; Du, Zhenglin; Yuan, Na; Zeng, Jingyao; Zhang, Zhewen; Wang, Jinyue; Shi, Shuo; Zhang, Yadong; Pan, Mengyu; Tang, Bixia; Zou, Dong; Song, Shuhui; Sang, Jian; Xia, Lin; Wang, Zhennan; Li, Man; Cao, Jiabao; Niu, Guangyi; Zhang, Yang; Sheng, Xin; Lu, Mingming; Wang, Qi; Xiao, Jingfa; Zou, Dong; Wang, Fan; Hao, Lili; Liang, Fang; Li, Mengwei; Sun, Shixiang; Zou, Dong; Li, Rujiao; Yu, Chunlei; Wang, Guangyu; Sang, Jian; Liu, Lin; Li, Mengwei; Li, Man; Niu, Guangyi; Cao, Jiabao; Sun, Shixiang; Xia, Lin; Yin, Hongyan; Zou, Dong; Xu, Xingjian; Ma, Lina; Chen, Huanxin; Sun, Yubin; Yu, Lei; Zhai, Shuang; Sun, Mingyuan; Zhang, Zhang; Zhao, Wenming; Xiao, Jingfa; Bao, Yiming; Song, Shuhui; Hao, Lili; Li, Rujiao; Ma, Lina; Sang, Jian; Wang, Yanqing; Tang, Bixia; Zou, Dong; Wang, Fan

2018-01-01

Abstract The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn. PMID:29036542

Making a Big Bang on the small screen

NASA Astrophysics Data System (ADS)

Thomas, Nick

2010-01-01

While the quality of some TV sitcoms can leave viewers feeling cheated out of 30 minutes of their lives, audiences and critics are raving about the science-themed US comedy The Big Bang Theory. First shown on the CBS network in 2007, the series focuses on two brilliant postdoc physicists, Leonard and Sheldon, who are totally absorbed by science. Adhering to the stereotype, they also share a fanatical interest in science fiction, video-gaming and comic books, but unfortunately lack the social skills required to connect with their 20-something nonacademic contemporaries.

Big Data and Clinicians: A Review on the State of the Science

PubMed Central

Wang, Weiqi

2014-01-01

Background In the past few decades, medically related data collection saw a huge increase, referred to as big data. These huge datasets bring challenges in storage, processing, and analysis. In clinical medicine, big data is expected to play an important role in identifying causality of patient symptoms, in predicting hazards of disease incidence or reoccurrence, and in improving primary-care quality. Objective The objective of this review was to provide an overview of the features of clinical big data, describe a few commonly employed computational algorithms, statistical methods, and software toolkits for data manipulation and analysis, and discuss the challenges and limitations in this realm. Methods We conducted a literature review to identify studies on big data in medicine, especially clinical medicine. We used different combinations of keywords to search PubMed, Science Direct, Web of Knowledge, and Google Scholar for literature of interest from the past 10 years. Results This paper reviewed studies that analyzed clinical big data and discussed issues related to storage and analysis of this type of data. Conclusions Big data is becoming a common feature of biological and clinical studies. Researchers who use clinical big data face multiple challenges, and the data itself has limitations. It is imperative that methodologies for data analysis keep pace with our ability to collect and store data. PMID:25600256

Teamwork Training Needs Analysis for Long-Duration Exploration Missions

NASA Technical Reports Server (NTRS)

Smith-Jentsch, Kimberly A.; Sierra, Mary Jane

2016-01-01

The success of future long-duration exploration missions (LDEMs) will be determined largely by the extent to which mission-critical personnel possess and effectively exercise essential teamwork competencies throughout the entire mission lifecycle (e.g., Galarza & Holland, 1999; Hysong, Galarza, & Holland, 2007; Noe, Dachner, Saxton, & Keeton, 2011). To ensure that such personnel develop and exercise these necessary teamwork competencies prior to and over the full course of future LDEMs, it is essential that a teamwork training curriculum be developed and put into place at NASA that is both 1) comprehensive, in that it targets all teamwork competencies critical for mission success and 2) structured around empirically-based best practices for enhancing teamwork training effectiveness. In response to this demand, the current teamwork-oriented training needs analysis (TNA) was initiated to 1) identify the teamwork training needs (i.e., essential teamwork-related competencies) of future LDEM crews, 2) identify critical gaps within NASA’s current and future teamwork training curriculum (i.e., gaps in the competencies targeted and in the training practices utilized) that threaten to impact the success of future LDEMs, and to 3) identify a broad set of practical nonprescriptive recommendations for enhancing the effectiveness of NASA’s teamwork training curriculum in order to increase the probability of future LDEM success.

Multiprofessional teamwork in work-related medical rehabilitation for patients with chronic musculoskeletal disorders.

PubMed

Schwarz, Betje; Neuderth, Silke; Gutenbrunner, Christoph; Bethge, Matthias

2015-01-01

Systematic reviews indicate the effectiveness of multimodal rehabilitation. In Germany this has been shown, in particular, for work-related medical rehabilitation. A recently published guideline on work-related medical rehabilitation supports the dissemination of these programmes. The feasibility of this guideline was examined in a multicentre study. This paper presents findings on the relevance of multiprofessional teamwork for the implementation of successful work-related medical rehabilitation. Focus groups were conducted with 7 inpatient orthopaedic rehabilitation teams and examined using qualitative content analysis. Multiprofessional teamwork emerged inductively as a meaningful theme. All teams described multiprofessional teamwork as a work-related medical rehabilitation success factor, referring to its relevance for holistic treatment of multifactorially impaired patients. Although similar indicators of successful multiprofessional teamwork were named, the teams realized multiprofessional teamwork differently. We found 3 team types, corresponding to multidisciplinary, interdisciplinary and transdisciplinary team models. These types and models constitute a continuum of collaborative practice, which seems to be affected by context-related factors. The significance of multiprofessional teamwork for successful multimodal rehabilitation was underlined. Indicators of ideal multiprofessional teamwork and contextual facilitators were specified. The contingency approach to teamwork, as well as the assumption of multiprofessional teamwork as a continuum of collaborative practice, is supported. Stronger consideration of multiprofessional teamwork in the work-related medical rehabilitation guideline is indicated.

Becoming Team Players: Team Members' Mastery of Teamwork Knowledge as a Predictor of Team Task Proficiency and Observed Teamwork Effectiveness

ERIC Educational Resources Information Center

Hirschfeld, Robert R.; Jordan, Mark H.; Feild, Hubert S.; Giles, William F.; Armenakis, Achilles A.

2006-01-01

The authors explored the idea that teams consisting of members who, on average, demonstrate greater mastery of relevant teamwork knowledge will demonstrate greater task proficiency and observed teamwork effectiveness. In particular, the authors posited that team members' mastery of designated teamwork knowledge predicts better team task…

Teamwork and the National Security Personnel System

DTIC Science & Technology

2007-03-18

and thereby improve organizational performance. However, concern exists that only rewarding individual performance may adversely impact teamwork...collaboration, and information sharing which could ultimately impact organizational performance. This paper explores the importance of teamwork for...indicates that pay-for-performance systems can harm teamwork suggesting that NSPS could negatively impact teamwork within the DoD. Recommendations are

Say "Yes and" to Students Learning Teamwork! Using Improv in the College Classroom to Build Teamwork Skills

ERIC Educational Resources Information Center

Watland, Kathleen Hanold; Santori, David

2014-01-01

Teamwork and the ability to work collaboratively on a team are important skills in almost every industry or profession. The use of student teams in college courses is increasing and most academic programs require teamwork as part of the students' academic learning experience. While teamwork and other experiential collaborative learning…

Mash-up of techniques between data crawling/transfer, data preservation/stewardship and data processing/visualization technologies on a science cloud system designed for Earth and space science: a report of successful operation and science projects of the NICT Science Cloud

NASA Astrophysics Data System (ADS)

Murata, K. T.

2014-12-01

Data-intensive or data-centric science is 4th paradigm after observational and/or experimental science (1st paradigm), theoretical science (2nd paradigm) and numerical science (3rd paradigm). Science cloud is an infrastructure for 4th science methodology. The NICT science cloud is designed for big data sciences of Earth, space and other sciences based on modern informatics and information technologies [1]. Data flow on the cloud is through the following three techniques; (1) data crawling and transfer, (2) data preservation and stewardship, and (3) data processing and visualization. Original tools and applications of these techniques have been designed and implemented. We mash up these tools and applications on the NICT Science Cloud to build up customized systems for each project. In this paper, we discuss science data processing through these three steps. For big data science, data file deployment on a distributed storage system should be well designed in order to save storage cost and transfer time. We developed a high-bandwidth virtual remote storage system (HbVRS) and data crawling tool, NICTY/DLA and Wide-area Observation Network Monitoring (WONM) system, respectively. Data files are saved on the cloud storage system according to both data preservation policy and data processing plan. The storage system is developed via distributed file system middle-ware (Gfarm: GRID datafarm). It is effective since disaster recovery (DR) and parallel data processing are carried out simultaneously without moving these big data from storage to storage. Data files are managed on our Web application, WSDBank (World Science Data Bank). The big-data on the cloud are processed via Pwrake, which is a workflow tool with high-bandwidth of I/O. There are several visualization tools on the cloud; VirtualAurora for magnetosphere and ionosphere, VDVGE for google Earth, STICKER for urban environment data and STARStouch for multi-disciplinary data. There are 30 projects running on the NICT Science Cloud for Earth and space science. In 2003 56 refereed papers were published. At the end, we introduce a couple of successful results of Earth and space sciences using these three techniques carried out on the NICT Sciences Cloud. [1] http://sc-web.nict.go.jp

Gender and teamwork: an analysis of professors' perspectives and practices

NASA Astrophysics Data System (ADS)

Beddoes, Kacey; Panther, Grace

2018-05-01

Teamwork is increasingly seen as an important component of engineering education programmes. Yet, prior research has shown that there are numerous ways in which teamwork is gendered, and can lead to negative experiences for women students. This article presents the first interview findings on professors' perspectives on gender and teamwork. Semi-structured interviews were conducted with 39 engineering professors to determine what and how they thought about gender in engineering and engineering education. For this article, the parts of the interviews about teamwork are analysed. We conclude that professors need tools to help them facilitate gender-inclusive teamwork, and those tools must address the beliefs that they already hold about teamwork. The findings raise questions about the adoption of evidence-based instructional practices and suggest current teamwork practices may exacerbate gender inequalities in engineering.

Implementing an interprofessional first-year teamwork project: some key reflections.

PubMed

McNaughton, Susan Maree

2013-09-01

Implementing an interprofessional teamwork project for first-year students presents pedagogical and practical challenges. While transferable skills and attributes are important, engagement of students with limited professional experience in teamwork depends on relevance to current learning needs. This report outlines principles learned from planning and implementing a teamwork project for an interprofessional health administration and service development course. Practising interprofessional teamwork as leaders and teachers, aligning with previous, current and future teamwork content and processes and responding to student feedback and achievement have been the key factors in shaping the project over three semesters. Face-to-face and online interprofessional teamwork learning has necessitated developing resources that support self-direction, using familiar technology and providing enabling physical environments. Implications for first-year interprofessional teamwork are that structured well-resourced processes, responsiveness and alignment of learning all improve student outcomes.

Dr. Earl N. Meyer, in the Lab, with a Scalpel: A Murder Mystery as a Biochemistry Recruitment Tool

ERIC Educational Resources Information Center

Vulcu, Felicia; Heirwegh, Meagan

2015-01-01

Increasing student participation in science is an ongoing challenge for many universities. In this active learning workshop, centered on inquiry and teamwork, we introduce high-school students to biochemistry and molecular biology techniques using a murder mystery activity. During this intensive 3 hr workshop, we engage students in a murder…

Teamwork in the Real World

NASA Technical Reports Server (NTRS)

Foyle, David C.; Shafto, Michael G.; Hart, Sandra G. (Technical Monitor)

1994-01-01

The National Aeronautics and Space Administration (NASA) is well known for its roles in the space program and in aeronautics. Because teamwork is essential for most NASA missions, NASA has experience in both research on teamwork and implementation of team projects. The purpose of this chapter is not to summarize research results on teamwork. This chapter will summarize our insight into teamwork as it applies to the large institutions and organizations with which we have been associated: University academic systems, Navy research laboratories, and NASA. These organizations represent a variety of systems in which teamwork is commonplace.

Role of care pathways in interprofessional teamwork.

PubMed

Scaria, Minimol Kulakkottu

2016-08-24

Cohesive interprofessional teamwork is essential to successful healthcare services. Interprofessional teamwork is the means by which different healthcare professionals - with diverse knowledge, skills and talents - collaborate to achieve a common goal. Several interventions are available to improve teamwork in the healthcare setting. This article explores the role of care pathways in improving interprofessional teamwork. Care pathways enhance teamwork by promoting coordination, collaboration, communication and decision making to achieve optimal healthcare outcomes. They result in improved staff knowledge, communication, documentation and interprofessional relations. Care pathways also contribute to patient-centred care and increase patient satisfaction.

MiTEP's Collaborative Field Course Design Process Based on Earth Science Literacy Principles

NASA Astrophysics Data System (ADS)

Engelmann, C. A.; Rose, W. I.; Huntoon, J. E.; Klawiter, M. F.; Hungwe, K.

2010-12-01

Michigan Technological University has developed a collaborative process for designing summer field courses for teachers as part of their National Science Foundation funded Math Science Partnership program, called the Michigan Teacher Excellence Program (MiTEP). This design process was implemented and then piloted during two two-week courses: Earth Science Institute I (ESI I) and Earth Science Institute II (ESI II). Participants consisted of a small group of Michigan urban science teachers who are members of the MiTEP program. The Earth Science Literacy Principles (ESLP) served as the framework for course design in conjunction with input from participating MiTEP teachers as well as research done on common teacher and student misconceptions in Earth Science. Research on the Earth Science misconception component, aligned to the ESLP, is more fully addressed in GSA Abstracts with Programs Vol. 42, No. 5. “Recognizing Earth Science Misconceptions and Reconstructing Knowledge through Conceptual-Change-Teaching”. The ESLP were released to the public in January 2009 by the Earth Science Literacy Organizing Committee and can be found at http://www.earthscienceliteracy.org/index.html. Each day of the first nine days of both Institutes was focused on one of the nine ESLP Big Ideas; the tenth day emphasized integration of concepts across all of the ESLP Big Ideas. Throughout each day, Michigan Tech graduate student facilitators and professors from Michigan Tech and Grand Valley State University consistantly focused teaching and learning on the day's Big Idea. Many Earth Science experts from Michigan Tech and Grand Valley State University joined the MiTEP teachers in the field or on campus, giving presentations on the latest research in their area that was related to that Big Idea. Field sites were chosen for their unique geological features as well as for the “sense of place” each site provided. Preliminary research findings indicate that this collaborative design process piloted as ESI I and ESI II was successful in improving MiTEP teacher understanding of Earth Science content and that it was helpful to use the ESLP framework. Ultimately, a small sample of student scores will look at the impact on student learning in the MiTEP teacher classrooms.

Formatively Assessing Teamwork in Technology-Enabled Twenty-First Century Classrooms: Exploratory Findings of a Teamwork Awareness Programme in Singapore

ERIC Educational Resources Information Center

Koh, Elizabeth; Hong, Helen; Tan, Jennifer Pei-Ling

2018-01-01

Teamwork, one of the core competencies for the twenty-first century learner, is a critical skill for work and learning. However, assessing teamwork is complex, in particular, developing a measure of teamwork that is domain-generic and applicable across a wide range of learners. This paper documents one such study that leverages technology to help…

[Human factors and crisis resource management: improving patient safety].

PubMed

Rall, M; Oberfrank, S

2013-10-01

A continuing high number of patients suffer harm from medical treatment. In 60-70% of the cases the sources of harm can be attributed to the field of human factors (HFs) and teamwork; nevertheless, those topics are still neither part of medical education nor of basic and advanced training even though it has been known for many years and it has meanwhile also been demonstrated for surgical specialties that training in human factors and teamwork considerably reduces surgical mortality.Besides the medical field, the concept of crisis resource management (CRM) has already proven its worth in many other industries by improving teamwork and reducing errors in the domain of human factors. One of the best ways to learn about CRM and HFs is realistic simulation team training with well-trained instructors in CRM and HF. The educational concept of the HOTT (hand over team training) courses for trauma room training offered by the DGU integrates these elements based on the current state of science. It is time to establish such training for all medical teams in emergency medicine and operative care. Accompanying safety measures, such as the development of a positive culture of safety in every department and the use of effective critical incident reporting systems (CIRs) should be pursued.

samiDB: A Prototype Data Archive for Big Science Exploration

NASA Astrophysics Data System (ADS)

Konstantopoulos, I. S.; Green, A. W.; Cortese, L.; Foster, C.; Scott, N.

2015-04-01

samiDB is an archive, database, and query engine to serve the spectra, spectral hypercubes, and high-level science products that make up the SAMI Galaxy Survey. Based on the versatile Hierarchical Data Format (HDF5), samiDB does not depend on relational database structures and hence lightens the setup and maintenance load imposed on science teams by metadata tables. The code, written in Python, covers the ingestion, querying, and exporting of data as well as the automatic setup of an HTML schema browser. samiDB serves as a maintenance-light data archive for Big Science and can be adopted and adapted by science teams that lack the means to hire professional archivists to set up the data back end for their projects.

Data Mining Citizen Science Results

NASA Astrophysics Data System (ADS)

Borne, K. D.

2012-12-01

Scientific discovery from big data is enabled through multiple channels, including data mining (through the application of machine learning algorithms) and human computation (commonly implemented through citizen science tasks). We will describe the results of new data mining experiments on the results from citizen science activities. Discovering patterns, trends, and anomalies in data are among the powerful contributions of citizen science. Establishing scientific algorithms that can subsequently re-discover the same types of patterns, trends, and anomalies in automatic data processing pipelines will ultimately result from the transformation of those human algorithms into computer algorithms, which can then be applied to much larger data collections. Scientific discovery from big data is thus greatly amplified through the marriage of data mining with citizen science.

Teamwork training with nursing and medical students: does the method matter? Results of an interinstitutional, interdisciplinary collaboration.

PubMed

Hobgood, Cherri; Sherwood, Gwen; Frush, Karen; Hollar, David; Maynard, Laura; Foster, Beverly; Sawning, Susan; Woodyard, Donald; Durham, Carol; Wright, Melanie; Taekman, Jeffrey

2010-12-01

The authors conducted a randomised controlled trial of four pedagogical methods commonly used to deliver teamwork training and measured the effects of each method on the acquisition of student teamwork knowledge, skills, and attitudes. The authors recruited 203 senior nursing students and 235 fourth-year medical students (total N = 438) from two major universities for a 1-day interdisciplinary teamwork training course. All participants received a didactic lecture and then were randomly assigned to one of four educational methods didactic (control), audience response didactic, role play and human patient simulation. Student performance was assessed for teamwork attitudes, knowledge and skills using: (a) a 36-item teamwork attitudes instrument (CHIRP), (b) a 12-item teamwork knowledge test, (c) a 10-item standardised patient (SP) evaluation of student teamwork skills performance and (d) a 20-item modification of items from the Mayo High Performance Teamwork Scale (MHPTS). All four cohorts demonstrated an improvement in attitudes (F(1,370) = 48.7, p = 0.001) and knowledge (F(1,353) = 87.3, p = 0.001) pre- to post-test. No educational modality appeared superior for attitude (F(3,370) = 0.325, p = 0.808) or knowledge (F(3,353) = 0.382, p = 0.766) acquisition. No modality demonstrated a significant change in teamwork skills (F(3,18) = 2.12, p = 0.134). Each of the four modalities demonstrated significantly improved teamwork knowledge and attitudes, but no modality was demonstrated to be superior. Institutions should feel free to utilise educational modalities, which are best supported by their resources to deliver interdisciplinary teamwork training.

Does trust promote more teamwork? Modeling online game players' teamwork using team experience as a moderator.

PubMed

Lee, Chun-Chia; Chang, Jen-Wei

2013-11-01

The need for teamwork has grown significantly in today's organizations. Especially for online game communities, teamwork is an important means of online game players' engagement. This study aims to investigate the impacts of trust on players' teamwork with affective commitment and normative commitment as mediators. Furthermore, this research includes team experience as a moderator to compare the difference between different player groups. A model was proposed and tested on 296 online game players' data using structural equation modeling. Findings revealed that team experience moderated the relationship between trust and teamwork. The results indicated that trust promotes more teamwork only for players with high experience through affective commitment than those who with low experience. Implications of the findings are discussed.

Big Data on the Big Screen

NASA Image and Video Library

2013-10-17

The center of the Milky Way galaxy imaged by NASA Spitzer Space Telescope is displayed on a quarter-of-a-billion-pixel, high-definition 23-foot-wide 7-meter LCD science visualization screen at NASA Ames Research Center.

Teamwork and collaboration in long-duration space missions: Going to extremes.

PubMed

Landon, Lauren Blackwell; Slack, Kelley J; Barrett, Jamie D

2018-01-01

The scientific study of teamwork in the context of spaceflight has uncovered a considerable amount of knowledge over the past 20 years. Although much is known about the underlying factors and processes of teamwork, much is left to be discovered for teams who will be operating in extreme isolation and confinement during a future Mars mission. Special considerations must be made to enhance teamwork and team well-being for multi-year missions during which the small team will live and work together. We discuss the unique challenges of effective teamwork in a Mars mission scenario, and the difficulties of studying teamwork using analogs of the space environment. We then describe the National Aeronautics and Space Administration's current practices and research on teamwork, which includes team selection and composition, teamwork training, countermeasures to mitigate risks to effective team performance, and the measurement and monitoring of team functioning. We end with a discussion of the teamwork research areas that are most critical for a successful journey to Mars. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

LLNL's Big Science Capabilities Help Spur Over $796 Billion in U.S. Economic Activity Sequencing the Human Genome

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

Stewart, Jeffrey S.

LLNL’s successful history of taking on big science projects spans beyond national security and has helped create billions of dollars per year in new economic activity. One example is LLNL’s role in helping sequence the human genome. Over $796 billion in new economic activity in over half a dozen fields has been documented since LLNL successfully completed this Grand Challenge.

[Social change and sciences in the 20th century].

PubMed

Garamvölgyi, J

1995-12-05

The symbiotic interdependence of state, economy and science is one of the most significant structural characteristics of the 20th century. This development results from inherent scientific as well as from social procedures and needs, and it has been favoured by the two World Wars, culminating in the Cold War. This led to new structures: institutions of large scale research, think tanks, and the military-industrial complex. Big government, big business, and big science are depending on each other. Parallel to the new way of thinking in physics (Einstein, Bohr and others), finally accomplished by the revolution in cybernetics (Wiener), the traditional borders between disciplines have been overcome. The production of new knowledge is now of primary importance. Today, information proves to be one of the strategic resources which determines prosperity, power and prestige as well as success in economic and political markets.

Biosecurity in the age of Big Data: a conversation with the FBI.

PubMed

You, Edward; Kozminski, Keith G

2015-11-05

New scientific frontiers and emerging technologies within the life sciences pose many global challenges to society. Big Data is a premier example, especially with respect to individual, national, and international security. Here a Special Agent of the Federal Bureau of Investigation discusses the security implications of Big Data and the need for security in the life sciences. © 2015 Kozminski. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication 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).

Big Outcrops and Big Ideas in Earth Science K-8 Professional Development

NASA Astrophysics Data System (ADS)

Baldwin, K. A.; Cooper, C. M.; Cavagnetto, A.; Morrison, J.; Adesope, O.

2014-12-01

Washington State has recently adopted the Next Generation Science Standards (NGSS) and state leaders are now working toward supporting teachers' implementation of the new standards and the pedagogical practices that support them. This poster encompasses one of one such professional development (PD) effort. The Enhancing Understanding of Concepts and Processes of Science (EUCAPS) project serves 31 K-8 in-service teachers in two southeast Washington school districts. In year two of this three year PD project, in-service teachers explored the Earth sciences and pedagogical approaches such as the Science Writing Heuristic, concept mapping, and activities which emphasized the epistemic nature of science. The goals of the EUCAPS PD project are to increase in-service teachers' big ideas in science and to provide support to in-service teachers as they transition to the NGSS. Teachers used concepts maps to document their knowledge of Earth science processes before and after visiting a local field site in Lewiston, Idaho. In the context of immersive inquiries, teachers collected field-based evidence to support their claims about the geological history of the field site. Teachers presented their claims and evidence to their peers in the form a story about the local geologic history. This poster will present an overview of the PD as well as provide examples of teacher's work and alignment with the NGSS.

Findability of Federal Research Data

NASA Astrophysics Data System (ADS)

Hourcle, J. A.

2013-12-01

Findability of Federal Research Data Although many of the federal agencies have been providing access to scientific research data for years if not decades, the findability of the data has been quite lacking. Many discipline-wide efforts have been made in the big science communities, such as PDS for planetary science and the VOs in night time astronomy and heliophysics, but there is a lack of single entry point for someone looking for data. The science.gov website contains links to many of these big-science search systems, but doesn't differentiate between links to science quality data and websites or browse products, making it more difficult to search specifically for data. The data.gov website is a useful repository for PIs of small science data to stash their data, particularly as it allows for interested parties to interact with tabular data. Unfortunately, as each group thinks of their data differently, much of what's now in the system is a mess; collections of data being tracked as individual records with no relationships between them. Big science projects also get tracked as single records, potentially with only a single record for missions with multiple instruments and significantly different data series. We present recommendations on how to improve the findability of federal research data on data.gov, based on years of working on the Virtual Solar Observatory and withing the science informatics community.

"small problems, Big Trouble": An Art and Science Collaborative Exhibition Reflecting Seemingly small problems Leading to Big Threats

NASA Astrophysics Data System (ADS)

Waller, J. L.; Brey, J. A.

2014-12-01

"small problems, Big Trouble" (spBT) is an exhibition of artist Judith Waller's paintings accompanied by text panels written by Earth scientist Dr. James A. Brey and several science researchers and educators. The text panels' message is as much the focus of the show as the art--true interdisciplinarity! Waller and Brey's history of art and earth science collaborations include the successful exhibition "Layers: Places in Peril". New in spBT is extended collaboration with other scientists in order to create awareness of geoscience and other subjects (i.e. soil, parasites, dust, pollutants, invasive species, carbon, ground water contaminants, solar wind) small in scale which pose significant threats. The paintings are the size of a mirror, a symbol suggesting the problems depicted are those we increasingly need to face, noting our collective reflections of shared current and future reality. Naturalistic rendering and abstract form in the art helps reach a broad audience including those familiar with art and those familiar with science. The goal is that gallery visitors gain greater appreciation and understanding of both—and of the sober content of the show as a whole. "small problems, Big Trouble" premiers in Wisconsin April, 2015. As in previous collaborations, Waller and Brey actively utilize art and science (specifically geoscience) as an educational vehicle for active student learning. Planned are interdisciplinary university and area high school activities linked through spBT. The exhibition in a public gallery offers a means to enhance community awareness of and action on scientific issues through art's power to engage people on an emotional level. This AGU presentation includes a description of past Waller and Brey activities: incorporating art and earth science in lab and studio classrooms, producing gallery and museum exhibitions and delivering workshops and other presentations. They also describe how walking the paths of several past earth science disasters continues to inspire new chapters in their "Layers: Places in Peril" exhibit! A slide show includes images of paintings for "small problems, Big Trouble". Brey and Waller will lead a discussion on their process of incorporating broader collaboration with geoscientists and others in an educational art exhibition.

Database Resources of the BIG Data Center in 2018.

PubMed

2018-01-04

The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Understanding Teamwork in the Provision of Cancer Care: Highlighting the Role of Trust.

PubMed

Lazzara, Elizabeth H; Keebler, Joseph R; Day, Soosi; DiazGranados, Deborah; Pan, Minggui; King, Michael A; Tu, Shin-Ping

2016-11-01

Team science research has indicated that trust is a critical variable of teamwork, contributing greatly to a team's performance. Trust has long been examined in health care with research focusing on the development of trust by patients with their health care practitioners. Studies have indicated that trust is linked to patient satisfaction, adherence to treatment, continuity of care, and improved outcomes. We explore the construct of trust using a case example of a patient who received a surgical procedure for a precancerous polyp. We apply the principle of trust to the case as well as present the literature on trust and key definitions for understanding trust. Additionally, we apply the definitions presented to the specific case example by highlighting moments where trust is developed or violated. Lastly, we offer insights to health care practitioners on the development of trust in their own patient interactions to improve care.

Understanding Teamwork in the Provision of Cancer Care: Highlighting the Role of Trust

PubMed Central

Keebler, Joseph R.; Day, Soosi; DiazGranados, Deborah; Pan, Minggui; King, Michael A.; Tu, Shin-Ping

2016-01-01

Team science research has indicated that trust is a critical variable of teamwork, contributing greatly to a team’s performance. Trust has long been examined in health care with research focusing on the development of trust by patients with their health care practitioners. Studies have indicated that trust is linked to patient satisfaction, adherence to treatment, continuity of care, and improved outcomes. We explore the construct of trust using a case example of a patient who received a surgical procedure for a precancerous polyp. We apply the principle of trust to the case as well as present the literature on trust and key definitions for understanding trust. Additionally, we apply the definitions presented to the specific case example by highlighting moments where trust is developed or violated. Lastly, we offer insights to health care practitioners on the development of trust in their own patient interactions to improve care. PMID:27601505

A New Virtual and Remote Experimental Environment for Teaching and Learning Science

NASA Astrophysics Data System (ADS)

Lustigova, Zdena; Lustig, Frantisek

This paper describes how a scientifically exact and problem-solving-oriented remote and virtual science experimental environment might help to build a new strategy for science education. The main features are: the remote observations and control of real world phenomena, their processing and evaluation, verification of hypotheses combined with the development of critical thinking, supported by sophisticated relevant information search, classification and storing tools and collaborative environment, supporting argumentative writing and teamwork, public presentations and defense of achieved results, all either in real presence, in telepresence or in combination of both. Only then real understanding of generalized science laws and their consequences can be developed. This science learning and teaching environment (called ROL - Remote and Open Laboratory), has been developed and used by Charles University in Prague since 1996, offered to science students in both formal and informal learning, and also to science teachers within their professional development studies, since 2003.

Organizing for teamwork in healthcare: an alternative to team training?

PubMed

Rydenfält, Christofer; Odenrick, Per; Larsson, Per Anders

2017-05-15

Purpose The purpose of this paper is to explore how organizational design could support teamwork and to identify organizational design principles that promote successful teamwork. Design/methodology/approach Since traditional team training sessions take resources away from production, the alternative approach pursued here explores the promotion of teamwork by means of organizational design. A wide and pragmatic definition of teamwork is applied: a team is considered to be a group of people that are set to work together on a task, and teamwork is then what they do in relation to their task. The input - process - output model of teamwork provides structure to the investigation. Findings Six teamwork enablers from the healthcare team literature - cohesion, collaboration, communication, conflict resolution, coordination, and leadership - are discussed, and the organizational design measures required to implement them are identified. Three organizational principles are argued to facilitate the teamwork enablers: team stability, occasions for communication, and a participative and adaptive approach to leadership. Research limitations/implications The findings could be used as a foundation for intervention studies to improve team performance or as a framework for evaluation of existing organizations. Practical implications By implementing these organizational principles, it is possible to achieve many of the organizational traits associated with good teamwork. Thus, thoughtful organization for teamwork can be used as an alternative or complement to the traditional team training approach. Originality/value With regards to the vast literature on team training, this paper offers an alternative perspective on how to improve team performance in healthcare.

[Big Data and Public Health - Results of the Working Group 1 of the Forum Future Public Health, Berlin 2016].

PubMed

Moebus, Susanne; Kuhn, Joseph; Hoffmann, Wolfgang

2017-11-01

Big Data is a diffuse term, which can be described as an approach to linking gigantic and often unstructured data sets. Big Data is used in many corporate areas. For Public Health (PH), however, Big Data is not a well-developed topic. In this article, Big Data is explained according to the intention of use, information efficiency, prediction and clustering. Using the example of application in science, patient care, equal opportunities and smart cities, typical challenges and open questions of Big Data for PH are outlined. In addition to the inevitable use of Big Data, networking is necessary, especially with knowledge-carriers and decision-makers from politics and health care practice. © Georg Thieme Verlag KG Stuttgart · New York.

Creation a Geo Big Data Outreach and Training Collaboratory for Wildfire Community

NASA Astrophysics Data System (ADS)

Altintas, I.; Sale, J.; Block, J.; Cowart, C.; Crawl, D.

2015-12-01

A major challenge for the geoscience community is the training and education of current and next generation big data geoscientists. In wildfire research, there are an increasing number of tools, middleware and techniques to use for data science related to wildfires. The necessary computing infrastructures are often within reach and most of the software tools for big data are freely available. But what has been lacking is a transparent platform and training program to produce data science experts who can use these integrated tools effectively. Scientists well versed to take advantage of big data technologies in geoscience applications is of critical importance to the future of research and knowledge advancement. To address this critical need, we are developing learning modules to teach process-based thinking to capture the value of end-to-end systems of reusable blocks of knowledge and integrate the tools and technologies used in big data analysis in an intuitive manner. WIFIRE is an end-to-end cyberinfrastructure for dynamic data-driven simulation, prediction and visualization of wildfire behavior.To this end, we are openly extending an environment we have built for "big data training" (biobigdata.ucsd.edu) to similar MOOC-based approaches to the wildfire community. We are building an environment that includes training modules for distributed platforms and systems, Big Data concepts, and scalable workflow tools, along with other basics of data science including data management, reproducibility and sharing of results. We also plan to provide teaching modules with analytical and dynamic data-driven wildfire behavior modeling case studies which address the needs not only of standards-based K-12 science education but also the needs of a well-educated and informed citizenry.Another part our outreach mission is to educate our community on all aspects of wildfire research. One of the most successful ways of accomplishing this is through high school and undergraduate student internships. Students have worked closely with WIFIRE researchers on various projects including the development of statistical models of wildfire ignition probabilities for southern California, and the development of a smartphone app for crowd-sourced wildfire reporting through social networks such as Twitter and Facebook.

The Effectiveness of Teamwork Training on Teamwork Behaviors and Team Performance: A Systematic Review and Meta-Analysis of Controlled Interventions

PubMed Central

McEwan, Desmond; Ruissen, Geralyn R.; Eys, Mark A.; Zumbo, Bruno D.; Beauchamp, Mark R.

2017-01-01

The objective of this study was to conduct a systematic review and meta-analysis of teamwork interventions that were carried out with the purpose of improving teamwork and team performance, using controlled experimental designs. A literature search returned 16,849 unique articles. The meta-analysis was ultimately conducted on 51 articles, comprising 72 (k) unique interventions, 194 effect sizes, and 8439 participants, using a random effects model. Positive and significant medium-sized effects were found for teamwork interventions on both teamwork and team performance. Moderator analyses were also conducted, which generally revealed positive and significant effects with respect to several sample, intervention, and measurement characteristics. Implications for effective teamwork interventions as well as considerations for future research are discussed. PMID:28085922

What is happening under the surface? Power, conflict and the performance of medical teams.

PubMed

Janss, Rozemarijn; Rispens, Sonja; Segers, Mien; Jehn, Karen A

2012-09-01

The effect of teamwork on team performance is broadly recognised in the medical field. This recognition is manifested in educational programmes in which attention to interpersonal behaviours during teamwork is growing. Conflict and power differences influence interpersonal behaviours and are marked topics in studies of group functioning in the social and organisational psychology literature. Insights from the domain of social sciences put the ongoing improvement of teamwork into broader perspective. This paper shows how knowledge from the domain of social and organisational psychology contributes to the understanding of teamwork in the medical environment. More specifically, this paper suggests that unfolding the underlying issues of power and conflict within medical teams can be of extra help in the development of educational interventions aimed at improving team performance. We review the key social psychology and organisational behaviour literature concerning power and conflict, and relate the insights derived from this to the team process of ad hoc medical action teams. We present a theoretical framework in which insights into power and conflict are used to explain and predict team dynamics in ad hoc medical action teams. Power and conflict strongly influence interpersonal behaviour. Characteristics of medical action teams give rise to all kinds of issues of disagreement and are accompanied by complex issues of intra-team power distribution. We argue that how team members coordinate, cooperate and communicate is steered by members' personal motivations, which, in turn, strongly depend on their perceptions of power and conflict. Given the importance of the performance of these teams, we suggest future directions for the development of training interventions building on knowledge and theories derived from social and organisational psychology. © Blackwell Publishing Ltd 2012.

Reviews

NASA Astrophysics Data System (ADS)

2004-01-01

BOOK REVIEWS (99) Complete A-Z Physics Handbook Science Magic in the Kitchen The Science of Cooking Science Experiments You Can Eat WEB WATCH (101) These journal themes are pasta joke Microwave oven Web links CD REVIEW (104) Electricity and Magnetism, KS3 Big Science Comics

A randomized trial comparing didactics, demonstration, and simulation for teaching teamwork to medical residents.

PubMed

Semler, Matthew W; Keriwala, Raj D; Clune, Jennifer K; Rice, Todd W; Pugh, Meredith E; Wheeler, Arthur P; Miller, Alison N; Banerjee, Arna; Terhune, Kyla; Bastarache, Julie A

2015-04-01

Effective teamwork is fundamental to the management of medical emergencies, and yet the best method to teach teamwork skills to trainees remains unknown. In a cohort of incoming internal medicine interns, we tested the hypothesis that expert demonstration of teamwork principles and participation in high-fidelity simulation would each result in objectively assessed teamwork behavior superior to traditional didactics. This was a randomized, controlled, parallel-group trial comparing three teamwork teaching modalities for incoming internal medicine interns. Participants in a single-day orientation at the Vanderbilt University Center for Experiential Learning and Assessment were randomized 1:1:1 to didactic, demonstration-based, or simulation-based instruction and then evaluated in their management of a simulated crisis by five independent, blinded observers using the Teamwork Behavioral Rater score. Clinical performance was assessed using the American Heart Association Advanced Cardiac Life Support algorithm and a novel "Recognize, Respond, Reassess" score. Participants randomized to didactics (n = 18), demonstration (n = 17), and simulation (n = 17) were similar at baseline. The primary outcome of average overall Teamwork Behavioral Rater score for those who received demonstration-based training was similar to simulation participation (4.40 ± 1.15 vs. 4.10 ± 0.95, P = 0.917) and significantly higher than didactic instruction (4.40 ± 1.15 vs. 3.10 ± 0.51, P = 0.045). Clinical performance scores were similar between the three groups and correlated only weakly with teamwork behavior (coefficient of determination [Rs(2)] = 0.267, P < 0.001). Among incoming internal medicine interns, teamwork training by expert demonstration resulted in similar teamwork behavior to participation in high-fidelity simulation and was more effective than traditional didactics. Clinical performance was largely independent of teamwork behavior and did not differ between training modalities.

Technical challenges for big data in biomedicine and health: data sources, infrastructure, and analytics.

PubMed

Peek, N; Holmes, J H; Sun, J

2014-08-15

To review technical and methodological challenges for big data research in biomedicine and health. We discuss sources of big datasets, survey infrastructures for big data storage and big data processing, and describe the main challenges that arise when analyzing big data. The life and biomedical sciences are massively contributing to the big data revolution through secondary use of data that were collected during routine care and through new data sources such as social media. Efficient processing of big datasets is typically achieved by distributing computation over a cluster of computers. Data analysts should be aware of pitfalls related to big data such as bias in routine care data and the risk of false-positive findings in high-dimensional datasets. The major challenge for the near future is to transform analytical methods that are used in the biomedical and health domain, to fit the distributed storage and processing model that is required to handle big data, while ensuring confidentiality of the data being analyzed.

The Making of the Faculty: Fostering Professional Development, Curricular Innovation, and Teamwork Through a Collaborative Science Community.

ERIC Educational Resources Information Center

Ross, Jacqueline; And Others

This paper describes the efforts of a host community generally referred to as a "Collaborative Community" and comprised of the Biology and Math departments of the University of Wisconsin-Stout (UW-Stout), the Math and Biology Departments of the University of Wisconsin-Eau Claire (UW-EC), and the Departments of Math, Biology, and Chemistry of the…

Implementation of Online Peer Assessment in a Design for Learning and Portfolio (D4L+P) Program to Help Students Complete Science Projects

ERIC Educational Resources Information Center

Wuttisela, Karntarat; Wuttiprom, Sura; Phonchaiya, Sonthi; Saengsuwan, Sayant

2016-01-01

Peer assessment was one of the most effective strategies to improve students' understanding, metacognitive skills, and social interaction. An online tool, "Designing for Learning and Portfolio (D4L+P)", was developed solely to support the T5 (tasks, tools, tutorials, topicresources, and teamwork) method of teaching and learning. This…

"Ground Control to Deaf and Hard of Hearing Students...": Space Camp Provides Lessons in Science, Math, Teamwork, and Fun

ERIC Educational Resources Information Center

Perkins, Becky

2007-01-01

In this article, the author describes the Space Camp at the U.S. Space & Rocket Center in Huntsville, Alabama, where deaf and hard of hearing students can pilot spaceships, conduct experiments, and dodge meteorites. Each year in the spring, students from schools all over the United States attend a one-week, hands-on learning experience in…

Bad Attitudes: Why Design Students Dislike Teamwork

ERIC Educational Resources Information Center

Tucker, Richard; Abbasi, Neda

2016-01-01

Positive experiences of teamwork in design contexts significantly improve students' satisfaction with teaching and their attitudes towards future teamwork. Thus, an understanding of the factors leading to negative and positive team experiences can inform strategies to support effective teamwork. This paper examines design students' perceptions and…

Neoliberal science, Chinese style: Making and managing the 'obesity epidemic'.

PubMed

Greenhalgh, Susan

2016-08-01

Science and Technology Studies has seen a growing interest in the commercialization of science. In this article, I track the role of corporations in the construction of the obesity epidemic, deemed one of the major public health threats of the century. Focusing on China, a rising superpower in the midst of rampant, state-directed neoliberalization, I unravel the process, mechanisms, and broad effects of the corporate invention of an obesity epidemic. Largely hidden from view, Western firms were central actors at every stage in the creation, definition, and governmental management of obesity as a Chinese disease. Two industry-funded global health entities and the exploitation of personal ties enabled actors to nudge the development of obesity science and policy along lines beneficial to large firms, while obscuring the nudging. From Big Pharma to Big Food and Big Soda, transnational companies have been profiting from the 'epidemic of Chinese obesity', while doing little to effectively treat or prevent it. The China case suggests how obesity might have been constituted an 'epidemic threat' in other parts of the world and underscores the need for global frameworks to guide the study of neoliberal science and policymaking.

Big Ideas in Volcanology-a new way to teach and think about the subject?

NASA Astrophysics Data System (ADS)

Rose, W. I.

2011-12-01

As intense work with identifying and presenting earth science to middle school science teachers in the MiTEP project advances, I have realized that tools used to connect with teachers and students of earth science in general and especially to promote higher levels of learning, should be advantageous in graduate teaching as well. In my last of 40 years of teaching graduate volcanology, I have finally organized the class around ideas based on Earth Science Literacy Principles and on common misconceptions. As such, I propose and fully explore the twelve "big ideas" of volcanology at the rate of one per week. This curricular organization highlights the ideas in volcanology that have major impact beyond volcanology itself and explores the roots and global ramifications of these ideas. Together they show how volcanology interfaces with the science world and the "real" world or how volcanologists interface with "real" people. In addition to big ideas we explore difficult and misunderstood concepts and the public misconceptions associated with each. The new organization and its focus on understanding relevant and far reaching concepts and hypotheses provides a refreshing context for advanced learning. It is planned to be the basis for an interactive website.

Unraveling the Complexities of Life Sciences Data.

PubMed

Higdon, Roger; Haynes, Winston; Stanberry, Larissa; Stewart, Elizabeth; Yandl, Gregory; Howard, Chris; Broomall, William; Kolker, Natali; Kolker, Eugene

2013-03-01

The life sciences have entered into the realm of big data and data-enabled science, where data can either empower or overwhelm. These data bring the challenges of the 5 Vs of big data: volume, veracity, velocity, variety, and value. Both independently and through our involvement with DELSA Global (Data-Enabled Life Sciences Alliance, DELSAglobal.org), the Kolker Lab ( kolkerlab.org ) is creating partnerships that identify data challenges and solve community needs. We specialize in solutions to complex biological data challenges, as exemplified by the community resource of MOPED (Model Organism Protein Expression Database, MOPED.proteinspire.org ) and the analysis pipeline of SPIRE (Systematic Protein Investigative Research Environment, PROTEINSPIRE.org ). Our collaborative work extends into the computationally intensive tasks of analysis and visualization of millions of protein sequences through innovative implementations of sequence alignment algorithms and creation of the Protein Sequence Universe tool (PSU). Pushing into the future together with our collaborators, our lab is pursuing integration of multi-omics data and exploration of biological pathways, as well as assigning function to proteins and porting solutions to the cloud. Big data have come to the life sciences; discovering the knowledge in the data will bring breakthroughs and benefits.

Big Data: An Opportunity for Collaboration with Computer Scientists on Data-Driven Science

NASA Astrophysics Data System (ADS)

Baru, C.

2014-12-01

Big data technologies are evolving rapidly, driven by the need to manage ever increasing amounts of historical data; process relentless streams of human and machine-generated data; and integrate data of heterogeneous structure from extremely heterogeneous sources of information. Big data is inherently an application-driven problem. Developing the right technologies requires an understanding of the applications domain. Though, an intriguing aspect of this phenomenon is that the availability of the data itself enables new applications not previously conceived of! In this talk, we will discuss how the big data phenomenon creates an imperative for collaboration among domain scientists (in this case, geoscientists) and computer scientists. Domain scientists provide the application requirements as well as insights about the data involved, while computer scientists help assess whether problems can be solved with currently available technologies or require adaptaion of existing technologies and/or development of new technologies. The synergy can create vibrant collaborations potentially leading to new science insights as well as development of new data technologies and systems. The area of interface between geosciences and computer science, also referred to as geoinformatics is, we believe, a fertile area for interdisciplinary research.

Climate Analytics-As-a-Service (CAaas), Advanced Information Systems, and Services to Accelerate the Climate Sciences.

NASA Astrophysics Data System (ADS)

McInerney, M.; Schnase, J. L.; Duffy, D.; Tamkin, G.; Nadeau, D.; Strong, S.; Thompson, J. H.; Sinno, S.; Lazar, D.

2014-12-01

The climate sciences represent a big data domain that is experiencing unprecedented growth. In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We focus on analytics, because it is the knowledge gained from our interactions with big data that ultimately product societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and SaaS enabled by cloud computing. Within this framework, cloud computing plays an important role; however, we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics-as-a-service. These elements are essential because in the aggregate they lead to generativity, a capacity for self-assembly that we feel is the key to solving many of the big data challenges in this domain. This poster will highlight specific examples of CAaaS using climate reanalysis data, high-performance cloud computing, map reduce, and the Climate Data Services API.

[Teamwork in the operating theatre: the German Observational Teamwork Assessment for Surgery (OTAS-D) and its first application in Germany].

PubMed

Passauer-Baierl, S; Chiapponi, C; Bruns, C J; Weigl, M

2014-12-01

The quality of surgical teamwork contributes to performance of the operating theatre team, service quality and patient safety in surgery. Observational tools are a feasible and reliable way to capture and evaluate teamwork in the operating theatre (OT). We introduce the German version of the Observational Teamwork Assessment for Surgery (OTAS-D) and present the first observational results from German OTs. Quality of surgical teamwork was assessed with observational teamwork assessment for surgery (OTAS-D). It evaluates five dimensions of OT teamwork: communication, coordination, cooperation/backup behaviour, leadership, and team monitoring/situation awareness. Each dimension is evaluated for each profession (surgical, nursing, and anaesthesia team) as well for each phase of the procedure (pre-, intra-, and post-operative). We observed n = 63 procedures, mainly in abdominal/general and orthopaedic surgery. Additionally, all OT team members scored their individual evaluation of the intra-operative teamwork (standardised 1-item questions). The OTAS-D evaluations showed meaningful results and differences for the OT professions as well as across the different phases of the procedures. Overall, a medium to good level of the OT teamwork was observed. There were no differences in regard to type of surgery (minimally invasive vs. open) or surgical specialties. With an increased coordination of the surgical team we observed a significantly increased cooperation of the nursing team (r = 0.36, p = 0.004). Concerning the OT staffs self-reports, the surgical and nursing teams reported higher scores for quality of surgical teamwork during the procedure than their anaesthesia team members. No significant relationships between observed quality of OT teamwork and self-reports were found. The German version of OTAS-D is a psychometrically robust method to capture the quality of teamwork in operating theatres. It enables the analyses of teamwork between the surgical, nursing and anaesthesia professions in acute surgical care. Limitations of the first application results are considered. Finally, potential applications for surgical teaching, research and quality management are discussed. Georg Thieme Verlag KG Stuttgart · New York.

Context in Quality of Care: Improving Teamwork and Resilience.

PubMed

Tawfik, Daniel S; Sexton, John Bryan; Adair, Kathryn C; Kaplan, Heather C; Profit, Jochen

2017-09-01

Quality improvement in health care is an ongoing challenge. Consideration of the context of the health care system is of paramount importance. Staff resilience and teamwork climate are key aspects of context that drive quality. Teamwork climate is dynamic, with well-established tools available to improve teamwork for specific tasks or global applications. Similarly, burnout and resilience can be modified with interventions such as cultivating gratitude, positivity, and awe. A growing body of literature has shown that teamwork and burnout relate to quality of care, with improved teamwork and decreased burnout expected to produce improved patient quality and safety. Copyright © 2017 Elsevier Inc. All rights reserved.

Work Demands-Burnout and Job Engagement-Job Satisfaction Relationships: Teamwork as a Mediator and Moderator.

PubMed

Mijakoski, Dragan; Karadzinska-Bislimovska, Jovanka; Basarovska, Vera; Minov, Jordan; Stoleski, Sasho; Angeleska, Nada; Atanasovska, Aneta

2015-03-15

Few studies have examined teamwork as mediator and moderator of work demands-burnout and job engagement-job satisfaction relationships in healthcare workers (HCWs) in South-East Europe. To assess mediation and moderation effect of teamwork on the relationship between independent (work demands or job engagement) and dependent (burnout or job satisfaction) variables. Work demands, burnout, job engagement, and job satisfaction were measured with Hospital Experience Scale, Maslach Burnout Inventory, Utrecht Work Engagement Scale, and Job Satisfaction Survey, respectively. Hospital Survey on Patient Safety Culture was used for assessment of teamwork. In order to examine role of teamwork as a mediating variable we fit series of regression models for burnout and job satisfaction. We also fit regression models predicting outcome (burnout or job satisfaction) from predictor (work demands or job engagement) and moderator (teamwork) variable. Teamwork was partial mediator of work demands-burnout relationship and full mediator of job engagement-job satisfaction relationship. We found that only job engagement-job satisfaction relationship was moderated by teamwork. Occupational health services should target detection of burnout in HCWs and implementation of organizational interventions in hospitals, taking into account findings that teamwork predicted reduced burnout and higher job satisfaction.

Factors related to teamwork performance and stress of operating room nurses.

PubMed

Sonoda, Yukio; Onozuka, Daisuke; Hagihara, Akihito

2018-01-01

To evaluate operating room nurses' perception of teamwork performance and their level of mental stress and to identify related factors. Little is known about the factors affecting teamwork and the mental stress of surgical nurses, although the performance of the surgical team is essential for patient safety. The questionnaire survey for operation room nurses consisted of simple questions about teamwork performance and mental stress. Multivariate analyses were used to identify factors causing a sense of teamwork performance or mental stress. A large number of surgical nurses had a sense of teamwork performance, but 30-40% of operation room nurses were mentally stressed during surgery. Neither the patient nor the operation factors were related to the sense of teamwork performance in both types of nurses. Among scrub nurses, endoscopic and abdominal surgery, body mass index, blood loss and the American Society of Anesthesiologists physical status class were related to their mental stress. Conversely, circulating nurses were stressed about teamwork performance. The factors related to teamwork performance and mental stress during surgery differed between scrub and circulating nurses. Increased support for operation room nurses is necessary. The increased support leads to safer surgical procedures and better patient outcomes. © 2017 John Wiley & Sons Ltd.

Big Science! Big Problems?

ERIC Educational Resources Information Center

Beigel, Allan

1991-01-01

Lessons learned by the University of Arizona through participation in two major scientific projects, construction of an astronomical observatory and a super cyclotron, are discussed. Four criteria for institutional participation in such projects are outlined, including consistency with institutional mission, adequate resources, leadership, and…

Measuring adolescent science motivation

NASA Astrophysics Data System (ADS)

Schumm, Maximiliane F.; Bogner, Franz X.

2016-02-01

To monitor science motivation, 232 tenth graders of the college preparatory level ('Gymnasium') completed the Science Motivation Questionnaire II (SMQ-II). Additionally, personality data were collected using a 10-item version of the Big Five Inventory. A subsequent exploratory factor analysis based on the eigenvalue-greater-than-one criterion, extracted a loading pattern, which in principle, followed the SMQ-II frame. Two items were dropped due to inappropriate loadings. The remaining SMQ-II seems to provide a consistent scale matching the findings in literature. Nevertheless, also possible shortcomings of the scale are discussed. Data showed a higher perceived self-determination in girls which seems compensated by their lower self-efficacy beliefs leading to equality of females and males in overall science motivation scores. Additionally, the Big Five personality traits and science motivation components show little relationship.

Beyond Einstein: from the Big Bang to black holes

NASA Astrophysics Data System (ADS)

White, Nicholas E.; Diaz, Alphonso V.

2004-01-01

How did the Universe begin? Does time have a beginning and an end? Does space have edges? Einstein's theory of relativity replied to these ancient questions with three startling predictions: that the Universe is expanding from a Big Bang; that black holes so distort space and time that time stops at their edges; and that a dark energy could be pulling space apart, sending galaxies forever beyond the edge of the visible Universe. Observations confirm these remarkable predictions, the last finding only four years ago. Yet Einstein's legacy is incomplete. His theory raises - but cannot answer - three profound questions: What powered the Big Bang? What happens to space, time and matter at the edge of a black hole? and, What is the mysterious dark energy pulling the Universe apart? The Beyond Einstein program within NASA's office of space science aims to answer these questions, employing a series of missions linked by powerful new technologies and complementary approaches to shared science goals. The program also serves as a potent force with which to enhance science education and science literacy.

Nursing teamwork, staff characteristics, work schedules, and staffing.

PubMed

Kalisch, Beatrice J; Lee, Hyunhwa

2009-01-01

This study aimed to explore whether and how staff characteristics, staffing, and scheduling variables are associated with the level of teamwork in nursing staff on acute care hospital patient units. This was a cross-sectional study with a sample of 1,758 nursing staff members from two different hospitals on 38 patient care units who completed the Nursing Teamwork Survey in 2008. This study focused on nursing teams who are stationed on a particular patient care unit (as opposed to visitors to the units). The return rate was 56.9%. The sample was made up of 77.4% nurses (registered nurses and licensed practical nurses), 11.9% assistive personnel, and 7.9% unit secretaries. Teamwork varied by unit and service type, with the highest scores occurring in pediatrics and maternity and the lowest scores on the medical-surgical and emergency units. Staff with less than 6 months of experience, those working 8- or 10-hour shifts (as opposed to 12 hours or a combination of 8 and 12 hours), part-time staff (as opposed to full time), and those working on night shift had higher teamwork scores. The higher teamwork scores were also associated with no or little overtime. The higher perception of the adequacy of staffing and the fewer patients cared for on a previous shift, the higher the teamwork scores. There is a relationship between selected staff characteristics, aspects of work schedules, staffing, and teamwork. Nursing staff want to work where teamwork is high, and perceptions of good staffing lead to higher teamwork. Higher teamwork scores correlated with those who worked less overtime.

Contract Teamwork: A Way Out of the Ivory Tower.

ERIC Educational Resources Information Center

McMillan, Sally J.

How can teamwork be implemented effectively in university-level advertising classrooms? This paper reviews literature on the nature, structure, and function of teams and processes for managing teamwork. Based on this literature, an innovative approach to contract teamwork is introduced for use in an entry-level graduate course on integrated…

Validity and Reliability of the Teamwork Scale for Youth

ERIC Educational Resources Information Center

Lower, Leeann M.; Newman, Tarkington J.; Anderson-Butcher, Dawn

2017-01-01

Purpose: This study examines the psychometric properties of the Teamwork Scale for Youth, an assessment designed to measure youths' perceptions of their teamwork competency. Methods: The Teamwork Scale for Youth was administered to a sample of 460 youths. Confirmatory factor analyses examined the factor structure and measurement invariance of the…

Teamwork and communication.

PubMed

Pfrimmer, Dale

2009-07-01

Effective teamwork and communication is critical to the delivery of safe and reliable patient care. Communication breakdowns account for the overwhelming majority of sentinel events. Effective teamwork and communication can help prevent mistakes and decrease patient risk. The implementation of simple tools and behaviors can greatly enhance patient safety and improve perceptions of teamwork.

Teaching Teamwork through Coteaching in the Business Classroom

ERIC Educational Resources Information Center

Kliegl, Julie A.; Weaver, Kari D.

2014-01-01

Business educators recognize the importance of developing teamwork as an employability skill. However, current methods used to teach teamwork have been met with mixed results from both students and educators. This article integrates research on the importance of teamwork, team development processes, and coteaching through examining a case study…

What Difference Does Quantity Make? On the Epistemology of Big Data in Biology

PubMed Central

Leonelli, Sabina

2015-01-01

Is big data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of big data science does not lie in the sheer quantity of data involved, but rather in (1) the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community; and (2) the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this paper reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data; and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which big data need to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analyzing data given these developments, and the opportunities and worries associated to big data discourse and methods. PMID:25729586

What Difference Does Quantity Make? On the Epistemology of Big Data in Biology.

PubMed

Leonelli, Sabina

2014-06-01

Is big data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of big data science does not lie in the sheer quantity of data involved, but rather in (1) the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community; and (2) the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this paper reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data; and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which big data need to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analyzing data given these developments, and the opportunities and worries associated to big data discourse and methods.

Big data in psychology: Introduction to the special issue.

PubMed

Harlow, Lisa L; Oswald, Frederick L

2016-12-01

The introduction to this special issue on psychological research involving big data summarizes the highlights of 10 articles that address a number of important and inspiring perspectives, issues, and applications. Four common themes that emerge in the articles with respect to psychological research conducted in the area of big data are mentioned, including: (a) The benefits of collaboration across disciplines, such as those in the social sciences, applied statistics, and computer science. Doing so assists in grounding big data research in sound theory and practice, as well as in affording effective data retrieval and analysis. (b) Availability of large data sets on Facebook, Twitter, and other social media sites that provide a psychological window into the attitudes and behaviors of a broad spectrum of the population. (c) Identifying, addressing, and being sensitive to ethical considerations when analyzing large data sets gained from public or private sources. (d) The unavoidable necessity of validating predictive models in big data by applying a model developed on 1 dataset to a separate set of data or hold-out sample. Translational abstracts that summarize the articles in very clear and understandable terms are included in Appendix A, and a glossary of terms relevant to big data research discussed in the articles is presented in Appendix B. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

DEVELOPING THE TRANSDISCIPLINARY AGING RESEARCH AGENDA: NEW DEVELOPMENTS IN BIG DATA.

PubMed

Callaghan, Christian William

2017-07-19

In light of dramatic advances in big data analytics and the application of these advances in certain scientific fields, new potentialities exist for breakthroughs in aging research. Translating these new potentialities to research outcomes for aging populations, however, remains a challenge, as underlying technologies which have enabled exponential increases in 'big data' have not yet enabled a commensurate era of 'big knowledge,' or similarly exponential increases in biomedical breakthroughs. Debates also reveal differences in the literature, with some arguing big data analytics heralds a new era associated with the 'end of theory' or which makes the scientific method obsolete, where correlation supercedes causation, whereby science can advance without theory and hypotheses testing. On the other hand, others argue theory cannot be subordinate to data, no matter how comprehensive data coverage can ultimately become. Given these two tensions, namely between exponential increases in data absent exponential increases in biomedical research outputs, and between the promise of comprehensive data coverage and data-driven inductive versus theory-driven deductive modes of enquiry, this paper seeks to provide a critical review of certain theory and literature that offers useful perspectives of certain developments in big data analytics and their theoretical implications for aging research. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Big Data in Psychology: Introduction to Special Issue

PubMed Central

Harlow, Lisa L.; Oswald, Frederick L.

2016-01-01

The introduction to this special issue on psychological research involving big data summarizes the highlights of 10 articles that address a number of important and inspiring perspectives, issues, and applications. Four common themes that emerge in the articles with respect to psychological research conducted in the area of big data are mentioned, including: 1. The benefits of collaboration across disciplines, such as those in the social sciences, applied statistics, and computer science. Doing so assists in grounding big data research in sound theory and practice, as well as in affording effective data retrieval and analysis. 2. Availability of large datasets on Facebook, Twitter, and other social media sites that provide a psychological window into the attitudes and behaviors of a broad spectrum of the population. 3. Identifying, addressing, and being sensitive to ethical considerations when analyzing large datasets gained from public or private sources. 4. The unavoidable necessity of validating predictive models in big data by applying a model developed on one dataset to a separate set of data or hold-out sample. Translational abstracts that summarize the articles in very clear and understandable terms are included in Appendix A, and a glossary of terms relevant to big data research discussed in the articles is presented in Appendix B. PMID:27918177

Rethinking big data: A review on the data quality and usage issues

NASA Astrophysics Data System (ADS)

Liu, Jianzheng; Li, Jie; Li, Weifeng; Wu, Jiansheng

2016-05-01

The recent explosive publications of big data studies have well documented the rise of big data and its ongoing prevalence. Different types of ;big data; have emerged and have greatly enriched spatial information sciences and related fields in terms of breadth and granularity. Studies that were difficult to conduct in the past time due to data availability can now be carried out. However, big data brings lots of ;big errors; in data quality and data usage, which cannot be used as a substitute for sound research design and solid theories. We indicated and summarized the problems faced by current big data studies with regard to data collection, processing and analysis: inauthentic data collection, information incompleteness and noise of big data, unrepresentativeness, consistency and reliability, and ethical issues. Cases of empirical studies are provided as evidences for each problem. We propose that big data research should closely follow good scientific practice to provide reliable and scientific ;stories;, as well as explore and develop techniques and methods to mitigate or rectify those 'big-errors' brought by big data.

Reviews Book: Extended Project Student Guide Book: My Inventions Book: ASE Guide to Research in Science Education Classroom Video: The Science of Starlight Software: SPARKvue Book: The Geek Manifesto Ebook: A Big Ball of Fire Apps

NASA Astrophysics Data System (ADS)

2014-05-01

WE RECOMMEND Level 3 Extended Project Student Guide A non-specialist, generally useful and nicely put together guide to project work ASE Guide to Research in Science Education Few words wasted in this handy introduction and reference The Science of Starlight Slow but steady DVD covers useful ground SPARKvue Impressive software now available as an app WORTH A LOOK My Inventions and Other Writings Science, engineering, autobiography, visions and psychic phenomena mixed in a strange but revealing concoction The Geek Manifesto: Why Science Matters More enthusiasm than science, but a good motivator and interesting A Big Ball of Fire: Your questions about the Sun answered Free iTunes download made by and for students goes down well APPS Collider visualises LHC experiments ... Science Museum app enhances school trips ... useful information for the Cambridge Science Festival

Disproof of Big Bang's Foundational Expansion Redshift Assumption Overthrows the Big Bang and Its No-Center Universe and Is Replaced by a Spherically Symmetric Model with Nearby Center with the 2.73 K CMR Explained by Vacuum Gravity and Doppler Effects

NASA Astrophysics Data System (ADS)

Gentry, Robert

2015-04-01

Big bang theory holds its central expansion redshift assumption quickly reduced the theorized radiation flash to ~ 1010 K, and then over 13.8 billion years reduced it further to the present 2.73 K CMR. Weinberg claims this 2.73 K value agrees with big bang theory so well that ``...we can be sure that this radiation was indeed left over from a time about a million years after the `big bang.' '' (TF3M, p180, 1993 ed.) Actually his conclusion is all based on big bang's in-flight wavelength expansion being a valid physical process. In fact all his surmising is nothing but science fiction because our disproof of GR-induced in-flight wavelength expansion [1] definitely proves the 2.73 K CMR could never have been the wavelength-expanded relic of any radiation, much less the presumed big bang's. This disproof of big bang's premier prediction is a death blow to the big bang as it is also to the idea that the redshifts in Hubble's redshift relation are expansion shifts; this negates Friedmann's everywhere-the-same, no-center universe concept and proves it does have a nearby Center, a place which can be identified in Psalm 103:19 and in Revelation 20:11 as the location of God's eternal throne. Widely published (Science, Nature, ARNS) evidence of Earth's fiat creation will also be presented. The research is supported by the God of Creation. This paper [1] is in for publication.

Personality, relationship conflict, and teamwork-related mental models.

PubMed

Vîrgă, Delia; Curşeu, Petru Lucian; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A; Macsinga, Irina; Măgurean, Silvia

2014-01-01

This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models.

Personality, Relationship Conflict, and Teamwork-Related Mental Models

PubMed Central

Vîrgă, Delia; CurŞeu, Petru Lucian; Maricuţoiu, Laurenţiu; Sava, Florin A.; Macsinga, Irina; Măgurean, Silvia

2014-01-01

This study seeks to explore whether neuroticism, agreeableness, and conscientiousness moderate the influence of relationship conflict experienced in groups on changes in group members' evaluative cognitions related to teamwork quality (teamwork-related mental models). Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach. Our results show that the experience of relationship conflict leads to a negative shift from the pre-task to the post-task teamwork-related mental models. Moreover, the results indicate that conscientiousness buffered the negative association between relationship conflict and the change in teamwork-related mental models. Our results did not support the hypothesized moderating effect of agreeableness and show that the detrimental effect of relationship conflict on the shift in teamwork-related mental models is accentuated for group members scoring low rather than high on neuroticism. These findings open new research venues for exploring the association between personality, coping styles and change in teamwork-related mental models. PMID:25372143

Lifting strength in two-person teamwork.

PubMed

Lee, Tzu-Hsien

2016-01-01

This study examined the effects of lifting range, hand-to-toe distance, and lifting direction on single-person lifting strengths and two-person teamwork lifting strengths. Six healthy males and seven healthy females participated in this study. Two-person teamwork lifting strengths were examined in both strength-matched and strength-unmatched groups. Our results showed that lifting strength significantly decreased with increasing lifting range or hand-to-toe distance. However, lifting strengths were not affected by lifting direction. Teamwork lifting strength did not conform to the law of additivity for both strength-matched and strength-unmatched groups. In general, teamwork lifting strength was dictated by the weaker of the two members, implying that weaker members might be exposed to a higher potential danger in teamwork exertions. To avoid such overexertion in teamwork, members with significantly different strength ability should not be assigned to the same team.

Influence of Teamwork on Health Care Workers' Perceptions About Care Delivery and Job Satisfaction.

PubMed

Dahlke, Sherry; Stahlke, Sarah; Coatsworth-Puspoky, Robin

2018-04-01

The aim of the current study was to examine the nature of teamwork in care facilities and its impact on the effectiveness of care delivery to older adults and job satisfaction among health care workers. A focused ethnography was conducted at two care facilities where older adults reside. Analysis of interviews with 22 participants revealed perceptions of teamwork and understandings about facilitators of and barriers to effective teamwork. Participants indicated that team relationships impacted care provided and job satisfaction. Participants also identified trust and reciprocity, communication, and sharing a common goal as critical factors in effective teamwork. In addition, participants identified the role of management as important in setting the tone for teamwork. Future research is needed to understand the complexity of supporting teamwork in residential settings given the challenges of culture, diversity, and individuals working multiple jobs. [Journal of Gerontological Nursing, 44(4), 37-44.]. Copyright 2018, SLACK Incorporated.

The effect of simulation-based crew resource management training on measurable teamwork and communication among interprofessional teams caring for postoperative patients.

PubMed

Paull, Douglas E; Deleeuw, Lori D; Wolk, Seth; Paige, John T; Neily, Julia; Mills, Peter D

2013-11-01

Many adverse events in health care are caused by teamwork and communication breakdown. This study was conducted to investigate the effect of a point-of-care simulation-based team training curriculum on measurable teamwork and communication skills in staff caring for postoperative patients. Twelve facilities involving 334 perioperative surgical staff underwent simulation-based training. Pretest and posttest self-report data included the Self-Efficacy of Teamwork Competencies Scale. Observational data were captured with the Clinical Teamwork Scale. Teamwork scores (measured on a five-point Likert scale) improved for all eight survey questions by an average of 18% (3.7 to 4.4, p < .05). The observed communication rating (scale of 1 to 10) increased by 16% (5.6 to 6.4, p < .05). Simulation-based team training for staff caring for perioperative patients is associated with measurable improvements in teamwork and communication. Copyright 2013, SLACK Incorporated.

Opportunities and challenges of big data for the social sciences: The case of genomic data.

PubMed

Liu, Hexuan; Guo, Guang

2016-09-01

In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research. Copyright © 2016 Elsevier Inc. All rights reserved.

Development and Validation of Performance Assessment Tools for Interprofessional Communication and Teamwork (PACT)

ERIC Educational Resources Information Center

Chiu, Chia-Ju

2014-01-01

Background: Medical errors caused by breakdowns in teamwork and interprofessional communication contribute to many deaths in the United States each year. Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS®) is an evidence-based teamwork system developed to improve communication and teamwork skills among health care…

Teamwork in Secular and Faith-Based Organizations

ERIC Educational Resources Information Center

Grant, Arnold R.

2007-01-01

The word "teamwork" has become a favorite of corporate leaders; however, many employees view "teamwork" as a word devoid of meaning. Part of the problem is that "teamwork" has an entirely different meaning to people at various levels in an organization, and this prevents individuals and different departments within a company from moving forward…

Gender and Teamwork: An Analysis of Professors' Perspectives and Practices

ERIC Educational Resources Information Center

Beddoes, Kacey; Panther, Grace

2018-01-01

Teamwork is increasingly seen as an important component of engineering education programmes. Yet, prior research has shown that there are numerous ways in which teamwork is gendered, and can lead to negative experiences for women students. This article presents the first interview findings on professors' perspectives on gender and teamwork.…

Teamwork to Enhance Adapted Teaching and Formative Assessment

ERIC Educational Resources Information Center

Bjornsrud, Halvor; Engh, Roar

2012-01-01

This article has as its main focus the contextual factors connected with teachers' teamwork. Firstly, it deals with the question of how to create reflections among teachers on the topic of teamwork. Their written answers function as empirical data for researchers and also as contributions to the further professional development of teamwork.…

[Interdisciplinary teamwork in the OR: Identification and measurement of teamwork in the operating room].

PubMed

Passauer-Baierl, Stefanie; Baschnegger, Heiko; Bruns, Christiane; Weigl, Matthias

2014-01-01

Effective teamwork is one of the essentials in conducting successful and safe surgical procedures in the operating theatre (OT). The present paper aims to provide a selective review of various approaches describing effective interdisciplinary teamwork in the OT. Furthermore, it covers observational methods to assess OT teamwork with particular focus on Germany. Our definition of successful surgical teamwork is based on an already established classification system considering five criteria for effective and safe OT teams: coordination, communication, cooperation, leadership, and team monitoring. Well-defined and reliable measures are necessary to examine the quality of OT teamwork. Those methods should entail the special characteristics of the OT team. They should include all phases of the surgical procedure and incorporate all the professions involved (surgeons, surgical nurses, and anaesthetic staff). We conclude that research into methods for the assessment of OTs in Germany needs to be undertaken as a prerequisite to investigating the relationship between OT teamwork and its effects on patient safety and surgical quality. Copyright © 2013. Published by Elsevier GmbH.

The concept of collaborative health.

PubMed

Sandberg, Håkan

2010-11-01

Based on empirical research about teamwork in human service organizations in Sweden, the concept of collaborative health (CH) encapsulates the physical, psychological and social health resources the individual uses in teamwork; resources which at the same time are influenced by the teamwork. My argument built on empirical research leading up to identifying and defining the core concept in this article, is that teamwork affects team members' health and this in turn affects the teamwork and its outcome. In this paper collaborative health is viewed from a social constructionism perspective and discussed in relation to earlier concepts developed in social psychology and working life research, including psychosocial stress and burnout. The paper also introduces the concept of functional synergy, which in this context is defined as the simultaneous presence of sharp goal-orientation and synergy in teamwork. The need for a holistic team theory is emphasized as a tool in research on teamwork. Such a theory relies on identifying sound and illuminating constituent concepts. I suggest that collaborative health could be a useful concept for better understanding the complex collaborative and co-operative teamwork of human service organizations of today.

Commentary: Leveraging discovery science to advance child and adolescent psychiatric research--a commentary on Zhao and Castellanos 2016.

PubMed

Mennes, Maarten

2016-03-01

'Big Data' and 'Population Imaging' are becoming integral parts of inspiring research aimed at delineating the biological underpinnings of psychiatric disorders. The scientific strategies currently associated with big data and population imaging are typically embedded in so-called discovery science, thereby pointing to the hypothesis-generating rather than hypothesis-testing nature of discovery science. In this issue, Yihong Zhao and F. Xavier Castellanos provide a compelling overview of strategies for discovery science aimed at progressing our understanding of neuropsychiatric disorders. In particular, they focus on efforts in genetic and neuroimaging research, which, together with extended behavioural testing, form the main pillars of psychopathology research. © 2016 Association for Child and Adolescent Mental Health.

Work Demands-Burnout and Job Engagement-Job Satisfaction Relationships: Teamwork as a Mediator and Moderator

PubMed Central

Mijakoski, Dragan; Karadzinska-Bislimovska, Jovanka; Basarovska, Vera; Minov, Jordan; Stoleski, Sasho; Angeleska, Nada; Atanasovska, Aneta

2015-01-01

BACKGROUND: Few studies have examined teamwork as mediator and moderator of work demands-burnout and job engagement-job satisfaction relationships in healthcare workers (HCWs) in South-East Europe. AIM: To assess mediation and moderation effect of teamwork on the relationship between independent (work demands or job engagement) and dependent (burnout or job satisfaction) variables. METHODS: Work demands, burnout, job engagement, and job satisfaction were measured with Hospital Experience Scale, Maslach Burnout Inventory, Utrecht Work Engagement Scale, and Job Satisfaction Survey, respectively. Hospital Survey on Patient Safety Culture was used for assessment of teamwork. In order to examine role of teamwork as a mediating variable we fit series of regression models for burnout and job satisfaction. We also fit regression models predicting outcome (burnout or job satisfaction) from predictor (work demands or job engagement) and moderator (teamwork) variable. RESULTS: Teamwork was partial mediator of work demands-burnout relationship and full mediator of job engagement-job satisfaction relationship. We found that only job engagement-job satisfaction relationship was moderated by teamwork. CONCLUSIONS: Occupational health services should target detection of burnout in HCWs and implementation of organizational interventions in hospitals, taking into account findings that teamwork predicted reduced burnout and higher job satisfaction. PMID:27275218

Effective healthcare teams require effective team members: defining teamwork competencies

PubMed Central

Leggat, Sandra G

2007-01-01

Background Although effective teamwork has been consistently identified as a requirement for enhanced clinical outcomes in the provision of healthcare, there is limited knowledge of what makes health professionals effective team members, and even less information on how to develop skills for teamwork. This study identified critical teamwork competencies for health service managers. Methods Members of a state branch of the professional association of Australian health service managers participated in a teamwork survey. Results The 37% response rate enabled identification of a management teamwork competency set comprising leadership, knowledge of organizational goals and strategies and organizational commitment, respect for others, commitment to working collaboratively and to achieving a quality outcome. Conclusion Although not part of the research question the data suggested that the competencies for effective teamwork are perceived to be different for management and clinical teams, and there are differences in the perceptions of effective teamwork competencies between male and female health service managers. This study adds to the growing evidence that the focus on individual skill development and individual accountability and achievement that results from existing models of health professional training, and which is continually reinforced by human resource management practices within healthcare systems, is not consistent with the competencies required for effective teamwork. PMID:17284324

Interprofessional teamwork in stroke care: Is it visible or important to patients and carers?

PubMed

Hewitt, Gillian; Sims, Sarah; Greenwood, Nan; Jones, Fiona; Ross, Fiona; Harris, Ruth

2015-01-01

Interprofessional teamwork is seen in healthcare policy and practice as a key strategy for providing safe, efficient and holistic healthcare and is an accepted part of evidence-based stroke care. The impact of interprofessional teamwork on patient and carer experience(s) of care is unknown, although some research suggests a relationship might exist. This study aimed to explore patient and carer perceptions of good and poor teamwork and its impact on experiences of care. Critical incident interviews were conducted with 50 patients and 33 carers in acute, inpatient rehabilitation and community phases of care within two UK stroke care pathways. An analytical framework, derived from a realist synthesis of 13 'mechanisms' (processes) of interprofessional teamwork, was used to identify positive and negative 'indicators' of teamwork. Participants identified several mechanisms of teamwork, but it was not a subject most talked about readily. This suggests that interprofessional teamwork is not a concept that is particularly important to stroke patients and carers; they do not readily perceive any impacts of teamwork on their experiences. These findings are a salient reminder that what might be expected by healthcare professionals to be important influences on experience may not be perceived to be so by patients and carers.

Sustaining Teamwork Behaviors Through Reinforcement of TeamSTEPPS Principles.

PubMed

Lee, Soo-Hoon; Khanuja, Harpal S; Blanding, Renee J; Sedgwick, Jeanne; Pressimone, Kathleen; Ficke, James R; Jones, Lynne C

2017-10-30

Teamwork training improves short-term teamwork behaviors. However, improvements are often not sustained. The purpose of this study was to explore the extent to which teamwork reinforcement activities for orthopedic surgery teams lead to sustained teamwork behaviors. Seven months after 104 staff from an orthopedic surgical unit were trained in Team Strategies and Tools to Enhance Performance and Patient Safety principles, 4 reinforcement activities were implemented regarding leadership and communication: lectures with videos on leadership skills for nursing staff; an online self-paced learning program on communication skills for nursing staff; a 1-page summary on leadership skills e-mailed to surgical staff; and a 1-hour perioperative grand rounds on Team Strategies and Tools to Enhance Performance and Patient Safety principles for anesthesia staff and new staff. Twenty-four orthopedic surgical teams were evaluated on teamwork behaviors during surgery by 2 observers before and after the reinforcement period using the Observational Teamwork Assessment for Surgery tool. After reinforcement, leadership (P = 0.022) and communication (P = 0.044) behaviors improved compared with prereinforcement levels. Specifically, nursing staff improved in leadership (P = 0.016) and communication (P = 0.028) behaviors, surgical staff improved in leadership behaviors (P = 0.009), but anesthesia staff did not improve in any teamwork behaviors. Sustained improvement in teamwork behaviors requires reinforcement. Level III, prospective pre-post cohort study.

Teamwork in the NICU setting and its association with healthcare-associated infections in very low birth weight infants

PubMed Central

Profit, Jochen; Sharek, Paul J.; Kan, Peiyi; Rigdon, Joseph; Desai, Manisha; Nisbet, Courtney C.; Tawfik, Daniel S.; Thomas, Eric J.; Lee, Henry C.; Sexton, J. Bryan

2018-01-01

Background and Objective Teamwork may affect clinical care in the neonatal intensive care unit (NICU) setting. The objective of this study was to assess teamwork climate across NICUs and to test scale level and item level associations with healthcare-associated infection (HAI) rates in very low birth weight (VLBW) infants. Methods Cross-sectional study of the association between HAI rates, defined as any bacterial or fungal infection during the birth hospitalization, among 6663 VLBW infants cared for in 44 NICUs between 2010 and 2012. NICU HAI rates were correlated with teamwork climate ratings obtained in 2011 from 2073 of 3294 eligible (response rate 63%) NICU health professionals. The relation between HAI rates and NICU teamwork climate was assessed using logistic regression models including NICU as a random effect. Results Across NICUs, 36 to 100% (mean 66%) of respondents reported good teamwork. HAI rates were significantly and independently associated with teamwork climate (OR [95% CI] 0.82 [0.73-0.92], p = 0.005), such that the odds of an infant contracting a HAI decreased by 18% with each 10% rise in NICU respondents reporting good teamwork. Conclusion Improving teamwork may be an important element in infection control efforts. PMID:28395366

Teamwork and patient safety in dynamic domains of healthcare: a review of the literature.

PubMed

Manser, T

2009-02-01

This review examines current research on teamwork in highly dynamic domains of healthcare such as operating rooms, intensive care, emergency medicine, or trauma and resuscitation teams with a focus on aspects relevant to the quality and safety of patient care. Evidence from three main areas of research supports the relationship between teamwork and patient safety: (1) Studies investigating the factors contributing to critical incidents and adverse events have shown that teamwork plays an important role in the causation and prevention of adverse events. (2) Research focusing on healthcare providers' perceptions of teamwork demonstrated that (a) staff's perceptions of teamwork and attitudes toward safety-relevant team behavior were related to the quality and safety of patient care and (b) perceptions of teamwork and leadership style are associated with staff well-being, which may impact clinician' ability to provide safe patient care. (3) Observational studies on teamwork behaviors related to high clinical performance have identified patterns of communication, coordination, and leadership that support effective teamwork. In recent years, research using diverse methodological approaches has led to significant progress in team research in healthcare. The challenge for future research is to further develop and validate instruments for team performance assessment and to develop sound theoretical models of team performance in dynamic medical domains integrating evidence from all three areas of team research identified in this review. This will help to improve team training efforts and aid the design of clinical work systems supporting effective teamwork and safe patient care.

Teamwork and clinical error reporting among nurses in Korean hospitals.

PubMed

Hwang, Jee-In; Ahn, Jeonghoon

2015-03-01

To examine levels of teamwork and its relationships with clinical error reporting among Korean hospital nurses. The study employed a cross-sectional survey design. We distributed a questionnaire to 674 nurses in two teaching hospitals in Korea. The questionnaire included items on teamwork and the reporting of clinical errors. We measured teamwork using the Teamwork Perceptions Questionnaire, which has five subscales including team structure, leadership, situation monitoring, mutual support, and communication. Using logistic regression analysis, we determined the relationships between teamwork and error reporting. The response rate was 85.5%. The mean score of teamwork was 3.5 out of 5. At the subscale level, mutual support was rated highest, while leadership was rated lowest. Of the participating nurses, 522 responded that they had experienced at least one clinical error in the last 6 months. Among those, only 53.0% responded that they always or usually reported clinical errors to their managers and/or the patient safety department. Teamwork was significantly associated with better error reporting. Specifically, nurses with a higher team communication score were more likely to report clinical errors to their managers and the patient safety department (odds ratio = 1.82, 95% confidence intervals [1.05, 3.14]). Teamwork was rated as moderate and was positively associated with nurses' error reporting performance. Hospital executives and nurse managers should make substantial efforts to enhance teamwork, which will contribute to encouraging the reporting of errors and improving patient safety. Copyright © 2015. Published by Elsevier B.V.

Factors Influencing Team Behaviors in Surgery: A Qualitative Study to Inform Teamwork Interventions.

PubMed

Aveling, Emma-Louise; Stone, Juliana; Sundt, Thoralf; Wright, Cameron; Gino, Francesca; Singer, Sara

2018-07-01

Surgical excellence demands teamwork. Poor team behaviors negatively affect team performance and are associated with adverse events and worse outcomes. Interventions to improve surgical teamwork focusing on frontline team members' nontechnical skills have proliferated but shown mixed results. Literature on teamwork in organizations suggests that team behaviors are also contingent on psychosocial, cultural, and organizational factors. This study examined factors influencing surgical team behaviors to inform more contextually sensitive and effective approaches to optimizing surgical teamwork. This qualitative study of cardiac surgical teams in a large United States teaching hospital included 34 semistructured interviews. Thematic network analysis was used to examine perceptions of ideal teamwork and factors influencing team behaviors in the operating room. Perceptions of ideal teamwork were largely shared, but team members held discrepant views of which team and leadership behaviors enhanced or undermined teamwork. Other factors affecting team behaviors were related to the local organizational culture, including management of staff behavior, variable case demands, and team members' technical competence, and fitness of organizational structures and processes to support teamwork. These factors affected perceptions of what constituted optimal interpersonal and team behaviors in the operating room. Team behaviors are contextually contingent and organizationally determined, and beliefs about optimal behaviors are not necessarily shared. Interventions to optimize surgical teamwork require establishing consensus regarding best practice, ability to adapt as circumstances require, and organizational commitment to addressing contextual factors that affect teams. Copyright © 2018 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

A student-led process to enhance the learning and teaching of teamwork skills in medicine.

PubMed

Balasooriya, Chinthaka; Olupeliyawa, Asela; Iqbal, Maha; Lawley, Claire; Cohn, Amanda; Ma, David; Luu, Queenie

2013-01-01

The development of teamwork skills is a critical aspect of modern medical education. This paper reports on a project that aimed to identify student perceptions of teamwork-focused learning activities and generate student recommendations for the development of effective educational strategies. The project utilized a unique method, which drew on the skills of student research assistants (RAs) to explore the views of their peers. Using structured interview guides, the RAs interviewed their colleagues to clarify their perceptions of the effectiveness of current methods of teamwork teaching and to explore ideas for more effective methods. The RAs shared their deidentified findings with each other, identified preliminary themes, and developed a number of recommendations which were finalized through consultation with faculty. The key themes that emerged focused on the need to clarify the relevance of teamwork skills to clinical practice, reward individual contributions to group process, facilitate feedback and reflection on teamwork skills, and systematically utilize clinical experiences to support experiential learning of teamwork. Based on these findings, a number of recommendations for stage appropriate teamwork learning and assessment activities were developed. Key among these were recommendations to set up a peer-mentoring system for students, suggestions for more authentic teamwork assessment methods, and strategies to utilize the clinical learning environment in developing teamwork skills. The student-led research process enabled identification of issues that may not have been otherwise revealed by students, facilitated a better understanding of teamwork teaching and developed ownership of the curriculum among students. The project enabled the development of recommendations for designing learning, teaching, and assessment methods that were likely to be more effective from a student perspective.

A Typology of Interprofessional Teamwork in Acute Geriatric Care: A Study in 55 units in Belgium.

PubMed

Piers, Ruth D; Versluys, Karen J J; Devoghel, Johan; Lambrecht, Sophie; Vyt, André; Van Den Noortgate, Nele J

2017-09-01

To explore the quality of interprofessional teamwork in acute geriatric care and to build a model of team types. Cross-sectional multicenter study. Acute geriatric units in Belgium. Team members of different professional backgrounds. Perceptions of interprofessional teamwork among team members of 55 acute geriatric units in Belgium were measured using a survey covering collaborative practice and experience, managerial coaching and open team culture, shared reflection and decision-making, patient files facilitating teamwork, members' belief in the power of teamwork, and members' comfort in reporting incidents. Cluster analysis was used to determine types of interprofessional teamwork. Professions and clusters were compared using analysis of variance. The overall response rate was 60%. Of the 890 respondents, 71% were nursing professionals, 20% other allied health professionals, 5% physicians, and 4% logistic and administrative staff. More than 70% of respondents scored highly on interprofessional teamwork competencies, consultation, experiences, meetings, management, and results. Fewer than 55% scored highly on items about shared reflection and decision-making, reporting incidents from a colleague, and patient files facilitating interprofessional teamwork. Nurses in this study rated shared reflection and decision-making lower than physicians on the same acute geriatric units (P < .001). Using the mean score on each of the six areas, four clusters that differed significantly in all areas were identified using hierarchical cluster analysis and scree plot analysis (P < .001). Interprofessional teamwork in acute geriatric units is satisfactory, but shared reflection and decision-making needs improvement. Four types of interprofessional teamwork are identified and can be used to benchmark the teamwork of individual teams. © 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.

A Randomized Trial Comparing Didactics, Demonstration, and Simulation for Teaching Teamwork to Medical Residents

PubMed Central

Keriwala, Raj D.; Clune, Jennifer K.; Rice, Todd W.; Pugh, Meredith E.; Wheeler, Arthur P.; Miller, Alison N.; Banerjee, Arna; Terhune, Kyla; Bastarache, Julie A.

2015-01-01

Rationale: Effective teamwork is fundamental to the management of medical emergencies, and yet the best method to teach teamwork skills to trainees remains unknown. Objectives: In a cohort of incoming internal medicine interns, we tested the hypothesis that expert demonstration of teamwork principles and participation in high-fidelity simulation would each result in objectively assessed teamwork behavior superior to traditional didactics. Methods: This was a randomized, controlled, parallel-group trial comparing three teamwork teaching modalities for incoming internal medicine interns. Participants in a single-day orientation at the Vanderbilt University Center for Experiential Learning and Assessment were randomized 1:1:1 to didactic, demonstration-based, or simulation-based instruction and then evaluated in their management of a simulated crisis by five independent, blinded observers using the Teamwork Behavioral Rater score. Clinical performance was assessed using the American Heart Association Advanced Cardiac Life Support algorithm and a novel “Recognize, Respond, Reassess” score. Measurements and Main Results: Participants randomized to didactics (n = 18), demonstration (n = 17), and simulation (n = 17) were similar at baseline. The primary outcome of average overall Teamwork Behavioral Rater score for those who received demonstration-based training was similar to simulation participation (4.40 ± 1.15 vs. 4.10 ± 0.95, P = 0.917) and significantly higher than didactic instruction (4.40 ± 1.15 vs. 3.10 ± 0.51, P = 0.045). Clinical performance scores were similar between the three groups and correlated only weakly with teamwork behavior (coefficient of determination [Rs2] = 0.267, P < 0.001). Conclusions: Among incoming internal medicine interns, teamwork training by expert demonstration resulted in similar teamwork behavior to participation in high-fidelity simulation and was more effective than traditional didactics. Clinical performance was largely independent of teamwork behavior and did not differ between training modalities. PMID:25730661

Improving patient safety through better teamwork: how effective are different methods of simulation debriefing? Protocol for a pragmatic, prospective and randomised study

PubMed Central

Freytag, Julia; Stroben, Fabian; Hautz, Wolf E; Eisenmann, Dorothea; Kämmer, Juliane E

2017-01-01

Introduction Medical errors have an incidence of 9% and may lead to worse patient outcome. Teamwork training has the capacity to significantly reduce medical errors and therefore improve patient outcome. One common framework for teamwork training is crisis resource management, adapted from aviation and usually trained in simulation settings. Debriefing after simulation is thought to be crucial to learning teamwork-related concepts and behaviours but it remains unclear how best to debrief these aspects. Furthermore, teamwork-training sessions and studies examining education effects on undergraduates are rare. The study aims to evaluate the effects of two teamwork-focused debriefings on team performance after an extensive medical student teamwork training. Methods and analyses A prospective experimental study has been designed to compare a well-established three-phase debriefing method (gather–analyse–summarise; the GAS method) to a newly developed and more structured debriefing approach that extends the GAS method with TeamTAG (teamwork techniques analysis grid). TeamTAG is a cognitive aid listing preselected teamwork principles and descriptions of behavioural anchors that serve as observable patterns of teamwork and is supposed to help structure teamwork-focused debriefing. Both debriefing methods will be tested during an emergency room teamwork-training simulation comprising six emergency medicine cases faced by 35 final-year medical students in teams of five. Teams will be randomised into the two debriefing conditions. Team performance during simulation and the number of principles discussed during debriefing will be evaluated. Learning opportunities, helpfulness and feasibility will be rated by participants and instructors. Analyses will include descriptive, inferential and explorative statistics. Ethics and dissemination The study protocol was approved by the institutional office for data protection and the ethics committee of Charité Medical School Berlin and registered under EA2/172/16. All students will participate voluntarily and will sign an informed consent after receiving written and oral information about the study. Results will be published. PMID:28667224

Picture of the Week: Making the (reactive) case for explosives science

Science.gov Websites

: small organisms, big impacts Biocrusts: small organisms, big impacts View on Flickr Bismuth and tin on the rocks Bismuth and tin on the rocks View on Flickr Need to Know: Van Allen Belts Need to Know: Van

Streaming Swarm of Nano Space Probes for Modern Analytical Methods Applied to Planetary Science

NASA Astrophysics Data System (ADS)

Vizi, P. G.; Horvath, A. F.; Berczi, Sz.

2017-11-01

Streaming swarms gives possibilities to collect data from big fields in one time. The whole streaming fleet possible to behave like one big organization and can be realized as a planetary mission solution with stream type analytical methods.

Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.

PubMed

Hofer, Ira S; Halperin, Eran; Cannesson, Maxime

2018-05-25

Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical care is hard to find. This article aims to address these issues by first defining and elucidating the term big data, exploring the ways in which modern medical data, both inside and outside the electronic medical record, meet the established definitions of big data. We then define the term smart data and discuss the transformations necessary to make big data into smart data. Finally, we examine the ways in which this transition from big to smart data will affect what we do in research, retrospective work, and ultimately patient care.

Processes and Outcomes in Student Teamwork. An Empirical Study in a Marketing Subject

ERIC Educational Resources Information Center

Bravo, Rafael; Lucia-Palacios, Laura; Martin, Maria J.

2016-01-01

The presence of student teamwork is increasing in most university degrees. However, there is still a gap in the literature regarding the connection between teamwork processes and their outcomes. In this paper, the authors analyze these processes and how they relate to teamwork outcomes from the students' perspective. Data was gathered from 129…

Assessing Teamwork in Undergraduate Education: A Measurement Tool to Evaluate Individual Teamwork Skills

ERIC Educational Resources Information Center

Britton, Emily; Simper, Natalie; Leger, Andrew; Stephenson, Jenn

2017-01-01

Effective teamwork skills are essential for success in an increasingly team-based workplace. However, research suggests that there is often confusion concerning how teamwork is measured and assessed, making it difficult to develop these skills in undergraduate curricula. The goal of the present study was to develop a sustainable tool for assessing…

Teamwork Satisfaction: Exploring the Multilevel Interaction of Teamwork Interest and Group Extraversion

ERIC Educational Resources Information Center

French, Kimberly A.; Kottke, Janet L.

2013-01-01

Multilevel modeling is used to examine the impact of teamwork interest and group extraversion on group satisfaction. Participants included 206 undergraduates in 65 groups who were surveyed at the beginning and end of a requisite term-length group project for an upper-division university course. We hypothesized that teamwork interest and both…

Teamwork and communication in the operating room: relationship to discrete outcomes and research challenges.

PubMed

Nurok, Michael; Sundt, Thoralf M; Frankel, Allan

2011-03-01

The literature defining and addressing teamwork and communication is abundant; however, few studies have analyzed the relationship between measures of teamwork and communication and quantifiable outcomes. The objectives of this review are: (1) to identify studies addressing teamwork and communication in the operating room in relation to discrete measures of outcome, (2) to create a classification of studies of the relationship between teamwork and communication and outcomes, (3) to assess the implications of these studies, (4) to explore the methodological challenges of teamwork and communication studies in the perioperative setting, and (5) to suggest future research directions.studies in the perioperative setting, and (5) to suggest future research directions. Copyright © 2011 Elsevier Inc. All rights reserved.

What Role for Law, Human Rights, and Bioethics in an Age of Big Data, Consortia Science, and Consortia Ethics? The Importance of Trustworthiness.

PubMed

Dove, Edward S; Özdemir, Vural

2015-09-01

The global bioeconomy is generating new paradigm-shifting practices of knowledge co-production, such as collective innovation; large-scale, data-driven global consortia science (Big Science); and consortia ethics (Big Ethics). These bioeconomic and sociotechnical practices can be forces for progressive social change, but they can also raise predicaments at the interface of law, human rights, and bioethics. In this article, we examine one such double-edged practice: the growing, multivariate exploitation of Big Data in the health sector, particularly by the private sector. Commercial exploitation of health data for knowledge-based products is a key aspect of the bioeconomy and is also a topic of concern among publics around the world. It is exacerbated in the current age of globally interconnected consortia science and consortia ethics, which is characterized by accumulating epistemic proximity, diminished academic independence, "extreme centrism", and conflicted/competing interests among innovation actors. Extreme centrism is of particular importance as a new ideology emerging from consortia science and consortia ethics; this relates to invariably taking a middle-of-the-road populist stance, even in the event of human rights breaches, so as to sustain the populist support needed for consortia building and collective innovation. What role do law, human rights, and bioethics-separate and together-have to play in addressing these predicaments and opportunities in early 21st century science and society? One answer we propose is an intertwined ethico-legal normative construct, namely trustworthiness . By considering trustworthiness as a central pillar at the intersection of law, human rights, and bioethics, we enable others to trust us, which in turns allows different actors (both nonprofit and for-profit) to operate more justly in consortia science and ethics, as well as to access and responsibly use health data for public benefit.

What Role for Law, Human Rights, and Bioethics in an Age of Big Data, Consortia Science, and Consortia Ethics? The Importance of Trustworthiness

PubMed Central

Dove, Edward S.; Özdemir, Vural

2015-01-01

The global bioeconomy is generating new paradigm-shifting practices of knowledge co-production, such as collective innovation; large-scale, data-driven global consortia science (Big Science); and consortia ethics (Big Ethics). These bioeconomic and sociotechnical practices can be forces for progressive social change, but they can also raise predicaments at the interface of law, human rights, and bioethics. In this article, we examine one such double-edged practice: the growing, multivariate exploitation of Big Data in the health sector, particularly by the private sector. Commercial exploitation of health data for knowledge-based products is a key aspect of the bioeconomy and is also a topic of concern among publics around the world. It is exacerbated in the current age of globally interconnected consortia science and consortia ethics, which is characterized by accumulating epistemic proximity, diminished academic independence, “extreme centrism”, and conflicted/competing interests among innovation actors. Extreme centrism is of particular importance as a new ideology emerging from consortia science and consortia ethics; this relates to invariably taking a middle-of-the-road populist stance, even in the event of human rights breaches, so as to sustain the populist support needed for consortia building and collective innovation. What role do law, human rights, and bioethics—separate and together—have to play in addressing these predicaments and opportunities in early 21st century science and society? One answer we propose is an intertwined ethico-legal normative construct, namely trustworthiness. By considering trustworthiness as a central pillar at the intersection of law, human rights, and bioethics, we enable others to trust us, which in turns allows different actors (both nonprofit and for-profit) to operate more justly in consortia science and ethics, as well as to access and responsibly use health data for public benefit. PMID:26345196

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

PubMed

Dinov, Ivo D

2016-01-01

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

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

PubMed

Szymańska, Ewa

2018-10-22

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

Health professionals' experience of teamwork education in acute hospital settings: a systematic review of qualitative literature.

PubMed

Eddy, Kylie; Jordan, Zoe; Stephenson, Matthew

2016-04-01

Teamwork is seen as an important element of patient care in acute hospital settings. The complexity of the journey of care for patients highlights the need for health professionals to collaborate and communicate clearly with each other. Health organizations in western countries are committed to improving patient safety through education of staff and teamwork education programs have been integral to this focus. There are no current systematic reviews of the experience of health professionals who participate in teamwork education in acute hospital settings. The objective of this systematic review was to search for the best available evidence on the experiences of health professionals who participate in teamwork education in acute hospital settings. This review considered studies reporting on experiences of registered health professionals who work in acute hospitals. This included medical, nursing and midwifery and allied health professionals. The focus of the meta-synthesis was the experiences and reflections of health professionals who were involved in teamwork education in acute hospital settings. The geographical context for this review was acute hospitals in rural or metropolitan settings in Australia and overseas countries. The review focused on the experiences of health professionals who work in acute hospitals and participated in teamwork education programs. This review considered studies that focused on qualitative data including, but not limited to, designs such as phenomenology, grounded theory, ethnography, action research and feminist research.In the absence of research studies, other text such as opinion papers, discussion papers and reports were considered. Studies published in English and from 1990 to 2013 were included in this review. The literature search for relevant papers occurred between 13 September and 26 October 2013. A three-step search strategy was utilized in this review. The databases searched were PubMed, CINAHL, Embase and Scopus. The standardized critical appraisal tool the Joanna Briggs Institute Qualitative Assessment and Review Instrument (JBI-QARI) was used to assess the methodological quality of included papers. Data that included statements and text of interest was extracted from papers included in the study using the standardized data extraction tool from JBI-QARI. Qualitative research findings were pooled using JBI-QARI. This involved the aggregation and synthesis of findings to generate a set of statements that represented that aggregation. In total, 116 papers were selected for analysis of full text, 11 papers were selected for critical appraisal and seven papers were selected for data synthesis. This resulted in 44 findings. The findings were assigned to 16 categories based on identified similarities across the papers. The categories were integrated into six meta-syntheses. These were: Meta-synthesis One: It is important to recognize that organizational culture and expectations have an impact on health professionals' participation and experience of teamwork education. Meta-synthesis Two: Understanding how successful teams function is central to the development of teamwork education programs and the experience of participants. Meta-synthesis Three: A health professional's experience of teamwork education will be influenced by his/her starting point of learning. Meta-synthesis Four: Participants highly value teamwork education programs that are implemented by facilitators who create practical authentic learning opportunities and foster reflection and debriefing for participants. Meta-synthesis Five: High fidelity simulation used with specific communication strategies provides a powerful learning opportunity for health professions to practice teamwork skills. Meta-synthesis Six: Participants have increased confidence and are motivated to apply their newly learnt teamwork skills into their daily practice. The review identified qualitative evidence that can guide organizations and education facilitators in the development and implementation of teamwork education in acute hospital settings. Although the quality of the specific teamwork education programs was an important factor, there were a number of issues that also impacted on the experiences of health professionals who participated in teamwork education programs. These included the context that the program was delivered in, the diversity of health care teams, starting points of individual learners, the type of tools utilized in education programs, the levels of confidence and motivation of learners post training and the opportunity to transfer into practice new learning. Drawing from the synthesized findings of the review, recommendations for practice have been devised in order to guide the development and implementation of teamwork education in acute hospital settings and to improve the experience of participating health professionals. The Joanna Briggs Institute utilizes Grades of Recommendation to rate a health management strategy in terms of its desirable effects, evidence of adequate quality supporting its use, benefits of use, and the inclusion of patient experience, values and preferences. A strong recommendation has a Grade A and a weak recommendation has a Grade B. The FAME (Feasibility, Appropriateness, Meaningfulness and Effectiveness) scale was used to inform the strength of the following six recommendations for practice from the review: RECOMMENDATION ONE: All members of a team should be encouraged by their organization/managers to participate in teamwork education programs in order to foster a positive culture of learning and teamwork within the team.JBI Recommendation: Grade A. This recommendation is appropriate and applicable to all health professionals in acute hospital settings, is associated with positive experiences for participants of teamwork education programs and has a beneficial effect on participants. Facilitators of teamwork education programs should understand how successful teams function and consider these factors when planning or delivering training.JBI Recommendation: Grade A. This recommendation is associated with positive experiences for participants and creates a beneficial effect to the quality of a teamwork education program. Facilitators of teamwork education programs need to explore participant learning needs and their prior experiences of working in teams before implementing teamwork education programs.JBI Recommendation: Grade A. This recommendation creates a beneficial effect to the participants of teamwork education programs and to the quality of education provided by facilitators. Facilitators of teamwork education programs should provide learning opportunities that are practical, authentic to participants and foster constructive debriefing and reflection.JBI Recommendation: Grade A. This recommendation is applicable to all health professionals and circumstances in which teamwork education occurs, is associated with positive experiences and has a beneficial effect on participants. High fidelity simulation should be considered in acute hospitals for the training of teamwork skills in addition to clinical skills. Scenarios provide realistic opportunities for participants to practice communication strategies that enhance teamwork.JBI Recommendation: Grade A. This recommendation is applicable to all health professionals and circumstances in which teamwork education occurs and has a beneficial effect on participants of education programs. Team managers should harness the new confidence and motivation of staff around teamwork skills following participation in teamwork education programs and ensure that there are opportunities in the workplace to apply new skills and knowledge into daily practice.JBI Recommendation: Grade A. This recommendation is applicable to all health professionals and circumstances in which teamwork education occurs, is adaptable to a variety of circumstances and has a beneficial effect on health professional's daily practice of teamwork skills. In order to strengthen the evidence base about teamwork education in acute hospital settings there needs to be quantitative and qualitative research into:How organizations that have successfully embedded a culture of collaboration and safety in health teams have planned, implemented and evaluated teamwork education programs in acute hospital settings?What are the characteristics of teams that have led to successful participation in teamwork education and positive outcomes for team performance?What are the experiences, training and support provided to education facilitators who successfully implement teamwork education programs in acute hospitals?

Beyond Einstein: From the Big Bang to Black Holes

NASA Astrophysics Data System (ADS)

White, N.

Beyond Einstein is a science-driven program of missions, education and outreach, and technology, to address three questions: What powered the Big Bang? What happens to space, time, and matter at the edge of a Black Hole? What is the mysterious Dark Energy pulling the universe apart? To address the science objectives, Beyond Einstein contains several interlinked elements. The strategic missions Constellation-X and LISA primarily investigate the nature of black holes. Constellation-X is a spectroscopic observatory that uses X-ray emitting atoms as clocks to follow the fate of matter falling into black holes. LISA will be the first space-based gravitational wave observatory uses gravitational waves to measure the dynamic structure of space and time around black holes. Moderate sized probes that are fully competed, peer-reviewed missions (300M-450M) launched every 3-5 years to address the focussed science goals: 1) Determine the nature of the Dark Energy that dominates the universe, 2) Search for the signature of the beginning of the Big Bang in the microwave background and 3) Take a census of Black Holes of all sizes and ages in the universe. The final element is a Technology Program to enable ultimate Vision Missions (after 2015) to directly detect gravitational waves echoing from the beginning of the Big Bang, and to directly image matter near the event horizon of a Black Hole. An associated Education and Public Outreach Program will inspire the next generation of scientists, and support national science standards and benchmarks.

The development of a rubric for peer assessment of individual teamwork skills in undergraduate midwifery students.

PubMed

Hastie, Carolyn; Fahy, Kathleen; Parratt, Jenny

2014-09-01

Poor teamwork is cited as one of the major root causes of adverse events in healthcare. Bullying, resulting in illness for staff, is an expression of poor teamwork skills. Despite this knowledge, poor teamwork persists in healthcare and teamwork skills are rarely the focus of teaching and assessment in undergraduate health courses. To develop and implement an assessment tool for use in facilitating midwifery students' learning of teamwork skills. This paper describes how the TeamUP rubric tool was developed. A review of the literature found no research reports on how to teach and assess health students' teamwork skills in standing teams. The literature, however, gives guidance about how university educators should evaluate individual students using peer assessment. The developmental processes of the rubric were grounded in the theoretical literature and feminist collaborative conversations. The rubric incorporates five domains of teamwork skills: Fostering a Team Climate; Project Planning; Facilitating Teams; Managing Conflict and Quality Individual Contribution. The process and outcomes of student and academic content validation are described. The TeamUP rubric is useful for articulating, teaching and assessing teamwork skills for health professional students. The TeamUP rubric is a robust, theoretically grounded model that defines and details effective teamwork skills and related behaviours. If these skills are mastered, we predict that graduates will be more effective in teams. Our assumption is that graduates, empowered by having these skills, are more likely to manage conflict effectively and less likely to engage in bullying behaviours. Crown Copyright © 2014. Published by Elsevier Ltd. All rights reserved.

Quality management and perceptions of teamwork and safety climate in European hospitals.

PubMed

Kristensen, Solvejg; Hammer, Antje; Bartels, Paul; Suñol, Rosa; Groene, Oliver; Thompson, Caroline A; Arah, Onyebuchi A; Kutaj-Wasikowska, Halina; Michel, Philippe; Wagner, Cordula

2015-12-01

This study aimed to investigate the associations of quality management systems with teamwork and safety climate, and to describe and compare differences in perceptions of teamwork climate and safety climate among clinical leaders and frontline clinicians. We used a multi-method, cross-sectional approach to collect survey data of quality management systems and perceived teamwork and safety climate. Our data analyses included descriptive and multilevel regression methods. Data on implementation of quality management system from seven European countries were evaluated including patient safety culture surveys from 3622 clinical leaders and 4903 frontline clinicians. Perceived teamwork and safety climate. Teamwork climate was reported as positive by 67% of clinical leaders and 43% of frontline clinicians. Safety climate was perceived as positive by 54% of clinical leaders and 32% of frontline clinicians. We found positive associations between implementation of quality management systems and teamwork and safety climate. Our findings, which should be placed in a broader clinical quality improvement context, point to the importance of quality management systems as a supportive structural feature for promoting teamwork and safety climate. To gain a deeper understanding of this association, further qualitative and quantitative studies using longitudinally collected data are recommended. The study also confirms that more clinical leaders than frontline clinicians have a positive perception of teamwork and safety climate. Such differences should be accounted for in daily clinical practice and when tailoring initiatives to improve teamwork and safety climate. © The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

Repeated, Close Physician Coronary Artery Bypass Grafting Teams Associated with Greater Teamwork.

PubMed

Everson, Jordan; Funk, Russell J; Kaufman, Samuel R; Owen-Smith, Jason; Nallamothu, Brahmajee K; Pagani, Francis D; Hollingsworth, John M

2018-04-01

To determine whether observed patterns of physician interaction around shared patients are associated with higher levels of teamwork as perceived by physicians. Michigan Medicare beneficiaries who underwent coronary artery bypass grafting (CABG) procedures at 24 hospitals in the state between 2008 and 2011. We assessed hospital teamwork using the teamwork climate scale in the Safety Attitudes Questionnaire. After aggregating across CABG discharges at these hospitals, we mapped the physician referral networks (including both surgeons and nonsurgeons) that served them and measured three network properties: (1) reinforcement, (2) clustering, and (3) density. We then used multilevel regression models to identify associations between network properties and teamwork at the hospitals on which the networks were anchored. In hospitals where physicians repeatedly cared for patients with the same colleagues, physicians perceived better teamwork (β-reinforcement = 3.28, p = .003). When physicians who worked together also had other colleagues in common, the reported teamwork was stronger (β clustering = 1.71, p = .001). Reported teamwork did not change when physicians worked with a higher proportion of other physicians at the hospital (β density = -0.58, p = .64). In networks with higher levels of reinforcement and clustering, physicians perceive stronger teamwork, perhaps because the strong ties between them create a shared understanding; however, sharing patients with more physicians overall (i.e., density) did not lead to stronger teamwork. Clinical and organizational leaders may consider designing the structure of clinical teams to increase interactions with known colleagues and repeated interactions between providers. © Health Research and Educational Trust.

Toward an Optimal Pedagogy for Teamwork.

PubMed

Earnest, Mark A; Williams, Jason; Aagaard, Eva M

2017-10-01

Teamwork and collaboration are increasingly listed as core competencies for undergraduate health professions education. Despite the clear mandate for teamwork training, the optimal method for providing that training is much less certain. In this Perspective, the authors propose a three-level classification of pedagogical approaches to teamwork training based on the presence of two key learning factors: interdependent work and explicit training in teamwork. In this classification framework, level 1-minimal team learning-is where learners work in small groups but neither of the key learning factors is present. Level 2-implicit team learning-engages learners in interdependent learning activities but does not include an explicit focus on teamwork. Level 3-explicit team learning-creates environments where teams work interdependently toward common goals and are given explicit instruction and practice in teamwork. The authors provide examples that demonstrate each level. They then propose that the third level of team learning, explicit team learning, represents a best practice approach in teaching teamwork, highlighting their experience with an explicit team learning course at the University of Colorado Anschutz Medical Campus. Finally, they discuss several challenges to implementing explicit team-learning-based curricula: the lack of a common teamwork model on which to anchor such a curriculum; the question of whether the knowledge, skills, and attitudes acquired during training would be transferable to the authentic clinical environment; and effectively evaluating the impact of explicit team learning.

Teamwork in the NICU Setting and Its Association with Health Care-Associated Infections in Very Low-Birth-Weight Infants.

PubMed

Profit, Jochen; Sharek, Paul J; Kan, Peiyi; Rigdon, Joseph; Desai, Manisha; Nisbet, Courtney C; Tawfik, Daniel S; Thomas, Eric J; Lee, Henry C; Sexton, J Bryan

2017-08-01

Background and Objective  Teamwork may affect clinical care in the neonatal intensive care unit (NICU) setting. The objective of this study was to assess teamwork climate across NICUs and to test scale-level and item-level associations with health care-associated infection (HAI) rates in very low-birth-weight (VLBW) infants. Methods  Cross-sectional study of the association between HAI rates, defined as any bacterial or fungal infection during the birth hospitalization, among 6,663 VLBW infants cared for in 44 NICUs between 2010 and 2012. NICU HAI rates were correlated with teamwork climate ratings obtained in 2011 from 2,073 of 3,294 eligible NICU health professionals (response rate 63%). The relation between HAI rates and NICU teamwork climate was assessed using logistic regression models including NICU as a random effect. Results  Across NICUs, 36 to 100% (mean 66%) of respondents reported good teamwork. HAI rates were significantly and independently associated with teamwork climate (odds ratio, 0.82; 95% confidence interval, 0.73-0.92, p  = 0.005), such that the odds of an infant contracting a HAI decreased by 18% with each 10% rise in NICU respondents reporting good teamwork. Conclusion  Improving teamwork may be an important element in infection control efforts. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

The perceived quality of interprofessional teamwork in an intensive care unit: A single centre intervention study.

PubMed

Van den Bulcke, Bo; Vyt, Andre; Vanheule, Stijn; Hoste, Eric; Decruyenaere, Johan; Benoit, Dominique

2016-05-01

This article describes a study that evaluated the quality of teamwork in a surgical intensive care unit and assessed whether teamwork could be improved significantly through a tailor-made intervention. The quality of teamwork prior to and after the intervention was assessed using the Interprofessional Practice and Education Quality Scales (IPEQS) using the PROSE online diagnostics and documenting system, which assesses three domains of teamwork: organisational factors, care processes, and team members' attitudes and beliefs. Furthermore, team members evaluated strengths and weaknesses of the teamwork through open-ended questions. Information gathered by means of the open questions was used to design a tailor-made 12-week intervention consisting of (1) optimising the existing weekly interdisciplinary meetings with collaborative decision-making and clear communication of goal-oriented actions, including the psychosocial aspects of care; and (2) organising and supporting the effective exchange of information over time between all professions involved. It was found that the intervention had a significant impact on organisational factors and care processes related to interprofessional teamwork for the total group and within all subgroups, despite baseline differences between the subgroups in interprofessional teamwork. In conclusion, teamwork, and more particularly the organisational aspects of interprofessional collaboration and processes of care, can be improved by a tailor-made intervention that takes into account the professional needs of healthcare workers.

Big agronomic data validates an oxymoron: Sustainable intensification under climate change

USDA-ARS?s Scientific Manuscript database

Crop science is increasingly embracing big data to reconcile the apparent rift between intensification of food production and sustainability of a steadily stressed production base. A strategy based on long-term agroecosystem research and modeling simulation of crops, crop rotations and cropping sys...

The International Big History Association

ERIC Educational Resources Information Center

Duffy, Michael; Duffy, D'Neil

2013-01-01

IBHA, the International Big History Association, was organized in 2010 and "promotes the unified, interdisciplinary study and teaching of history of the Cosmos, Earth, Life, and Humanity." This is the vision that Montessori embraced long before the discoveries of modern science fleshed out the story of the evolving universe. "Big…

Hawaii

Atmospheric Science Data Center

2014-05-15

article title:  Big Island, Hawaii     View Larger ... Multi-angle Imaging SpectroRadiometer (MISR) images of the Big Island of Hawaii, April - June 2000. The images have been rotated so that ... NASA's Goddard Space Flight Center, Greenbelt, MD. The MISR data were obtained from the NASA Langley Research Center Atmospheric Science ...

Translating Big Data into Big Climate Ideas: Communicating Future Climate Scenarios to Increase Interdisciplinary Engagement.

EPA Science Inventory

Climate change has emerged as the significant environmental challenge of the 21st century. Therefore, understanding our changing world has forced researchers from many different fields of science to join together to tackle complicated research questions. The climate change resear...

Teaching Teachers: Bringing First-Rate Science to the Elementary Classroom. An NSTA Press Journals Collection.

ERIC Educational Resources Information Center

Smith, Betty, Ed.

This document presents a collection of papers published in the "Teaching Teachers" column in the elementary-level journal, "Science and Children." Contents include: (1) "Science is Part of the Big Picture: Teachers Become Science Learners" (Anita Greenwood); (2) "Reaching the Reluctant Science Teacher: Learning How To Teach Inquiry-Based Science"…

Work Systems, Quality of Working Life and Attitudes of Workers: An Empirical Study towards the Effects of Team and Non-teamwork.

ERIC Educational Resources Information Center

Steijn, Bram

2001-01-01

Four types of work organization--Taylorism, lean teamwork, sociotechnical teamwork, and professional work systems--were studied in a survey of 835 Dutch workers. Taylorism had detrimental effects on well-being, autonomy, stress, job satisfaction, and work commitment. Either type of teamwork or substantial professional autonomy had positive…

Achieving quality improvement in the nursing home: influence of nursing leadership on communication and teamwork.

PubMed

Vogelsmeier, Amy; Scott-Cawiezell, Jill

2011-01-01

Leadership, communication, and teamwork are essential elements of organizational capacity and are linked to organizational performance. How those organizations actually achieve improved performance, however, is not clearly understood. In this comparative case study, nursing leadership who facilitated open communication and teamwork achieved improvement while nursing leadership who impeded open communication and teamwork did not.

Therapists' experiences and perceptions of teamwork in neurological rehabilitation: critical happenings in effective and ineffective teamwork.

PubMed

Suddick, Kitty M; De Souza, Lorraine H

2007-12-01

This paper reports the second part of an exploratory study into occupational therapists' and physiotherapists' perceptions and experiences of teamwork in neurological rehabilitation: the factors that were thought to influence effective and ineffective teamwork, and the meaning behind effective and ineffective teamwork in neurological rehabilitation. The study was undertaken through semi-structured interviews of 10 therapists from three different neurological rehabilitation teams based in the United Kingdom, and used the critical incident technique. Through analysis of the data, several main themes emerged regarding the perceived critical happenings in effective and ineffective teamwork. These were: team events and characteristics, team members' characteristics, shared and collaborative working practices, communication, specific organizational structures, environmental, external, and patient and family-related factors. Effective and ineffective team-work was perceived to impact on a number of levels: having implications for the team, the patient, individual team members, and the neurological rehabilitation service. The study supported the perceived value of team work within neurological rehabilitation. It also indicated the extensive and variable factors that may influence the team-working process as well as the complex and diverse nature of the process.

Math and science illiteracy: Social and economic impacts

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

Williams, J.L.

1994-05-01

Today`s highly competitive global economy is being driven by increasingly rapid technological development. This paper explores the problems of math and science illiteracy in the United States and the potential impact on our economic survival in this environment during the next century. Established educational methods that reward task performance, emphasize passive lecture, and fail to demonstrate relevance to real life are partly to blame. Social norms, stereotypes, and race and gender bias also have an impact. To address this crisis, we need to question the philosophy of an educational system that values task over concept. Many schools have already initiatedmore » programs at all grade levels to make math and science learning more relevant, stimulating, and fun. Teaching methods that integrate math and science learning with teamwork, social context, and other academic subjects promote the development of higher-order thinking skills and help students see math and science as necessary skills.« less

Characterizing the changes in teaching practice during first semester implementation of an argument-based inquiry approach in a middle school science classroom

NASA Astrophysics Data System (ADS)

Pinney, Brian Robert John

The purpose of this study was to characterize ways in which teaching practice in classroom undergoing first semester implementation of an argument-based inquiry approach changes in whole-class discussion. Being that argument is explicitly called for in the Next Generation Science Standards and is currently a rare practice in teaching, many teachers will have to transform their teaching practice for inclusion of this feature. Most studies on Argument-Based Inquiry (ABI) agree that development of argument does not come easily and is only acquired through practice. Few studies have examined the ways in which teaching practice changes in relation to the big idea or disciplinary core idea (NGSS), the development of dialogue, and/or the development of argument during first semester implementation of an argument-based inquiry approach. To explore these areas, this study posed three primary research questions: (1) How does a teacher in his first semester of Science Writing Heuristic professional development make use of the "big idea"?, (1a) Is the indicated big idea consistent with NGSS core concepts?, (2) How did the dialogue in whole-class discussion change during the first semester of argument-based inquiry professional development?, (3) How did the argument in whole-class discussion change during the first semester of argument-based inquiry professional development? This semester-long study that took place in a middle school in a rural Midwestern city was grounded in interactive constructivism, and utilized a qualitative design to identify the ways in which the teacher utilized big ideas and how dialogue and argumentative dialogue developed over time. The purposefully selected teacher in this study provided a unique situation where he was in his first semester of professional development using the Science Writing Heuristic Approach to argument-based inquiry with 19 students who had two prior years' experience in ABI. Multiple sources of data were collected, including classroom video with transcripts, teacher interview, researcher field notes, student journals, teacher lesson plans from previous years, and a student questionnaire. Data analysis used a basic qualitative approach. The results showed (1) only the first time period had a true big idea, while the other two units contained topics, (2) each semester contained a similar use for the given big idea, though its role in the class was reduced after the opening activity, (3) the types of teacher questions shifted toward students explaining their comprehension of ideas and more students were involved in discussing each idea and for more turns of talk than in earlier time periods, (4) understanding science term definitions became more prominent later in the semester, with more stating science terms occurring earlier in the semester, (5) no significant changes were seen to the use of argument or claims and evidence throughout the study. The findings have informed theory and practice about science argumentation, the practice of whole-class dialogue, and the understanding of practice along four aspects: (1) apparent lack of understanding about big ideas and how to utilize them as the central organizing feature of a unit, (2) independent development of dialogue and argument, (3) apparent lack of understanding about the structure of argument and use of basic terminology with argument and big ideas, (4) challenges of ABI implementation. This study provides insight into the importance of prolonged and persistent professional development with ABI in teaching practice.

The Human Genome Project: big science transforms biology and medicine.

PubMed

Hood, Leroy; Rowen, Lee

2013-01-01

The Human Genome Project has transformed biology through its integrated big science approach to deciphering a reference human genome sequence along with the complete sequences of key model organisms. The project exemplifies the power, necessity and success of large, integrated, cross-disciplinary efforts - so-called 'big science' - directed towards complex major objectives. In this article, we discuss the ways in which this ambitious endeavor led to the development of novel technologies and analytical tools, and how it brought the expertise of engineers, computer scientists and mathematicians together with biologists. It established an open approach to data sharing and open-source software, thereby making the data resulting from the project accessible to all. The genome sequences of microbes, plants and animals have revolutionized many fields of science, including microbiology, virology, infectious disease and plant biology. Moreover, deeper knowledge of human sequence variation has begun to alter the practice of medicine. The Human Genome Project has inspired subsequent large-scale data acquisition initiatives such as the International HapMap Project, 1000 Genomes, and The Cancer Genome Atlas, as well as the recently announced Human Brain Project and the emerging Human Proteome Project.

Improving patient safety through better teamwork: how effective are different methods of simulation debriefing? Protocol for a pragmatic, prospective and randomised study.

PubMed

Freytag, Julia; Stroben, Fabian; Hautz, Wolf E; Eisenmann, Dorothea; Kämmer, Juliane E

2017-06-30

Medical errors have an incidence of 9% and may lead to worse patient outcome. Teamwork training has the capacity to significantly reduce medical errors and therefore improve patient outcome. One common framework for teamwork training is crisis resource management, adapted from aviation and usually trained in simulation settings. Debriefing after simulation is thought to be crucial to learning teamwork-related concepts and behaviours but it remains unclear how best to debrief these aspects. Furthermore, teamwork-training sessions and studies examining education effects on undergraduates are rare. The study aims to evaluate the effects of two teamwork-focused debriefings on team performance after an extensive medical student teamwork training. A prospective experimental study has been designed to compare a well-established three-phase debriefing method (gather-analyse-summarise; the GAS method ) to a newly developed and more structured debriefing approach that extends the GAS method with TeamTAG (teamwork techniques analysis grid). TeamTAG is a cognitive aid listing preselected teamwork principles and descriptions of behavioural anchors that serve as observable patterns of teamwork and is supposed to help structure teamwork-focused debriefing. Both debriefing methods will be tested during an emergency room teamwork-training simulation comprising six emergency medicine cases faced by 35 final-year medical students in teams of five. Teams will be randomised into the two debriefing conditions. Team performance during simulation and the number of principles discussed during debriefing will be evaluated. Learning opportunities, helpfulness and feasibility will be rated by participants and instructors. Analyses will include descriptive, inferential and explorative statistics. The study protocol was approved by the institutional office for data protection and the ethics committee of Charité Medical School Berlin and registered under EA2/172/16. All students will participate voluntarily and will sign an informed consent after receiving written and oral information about the study. Results will be published. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Challenges of Big Data in Educational Assessment

ERIC Educational Resources Information Center

Gibson, David C.; Webb, Mary; Ifenthaler, Dirk

2015-01-01

This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…

Expanding Evidence Approaches for Learning in a Digital World

ERIC Educational Resources Information Center

Means, Barbara; Anderson, Kea

2013-01-01

This report describes how big data and an evidence framework can align across five contexts of educational improvement. It explains that before working with big data, there is an important prerequisite: the proposed innovation should align with deeper learning objectives and should incorporate sound learning sciences principles. New curriculum…

BIG: a large-scale data integration tool for renal physiology.

PubMed

Zhao, Yue; Yang, Chin-Rang; Raghuram, Viswanathan; Parulekar, Jaya; Knepper, Mark A

2016-10-01

Due to recent advances in high-throughput techniques, we and others have generated multiple proteomic and transcriptomic databases to describe and quantify gene expression, protein abundance, or cellular signaling on the scale of the whole genome/proteome in kidney cells. The existence of so much data from diverse sources raises the following question: "How can researchers find information efficiently for a given gene product over all of these data sets without searching each data set individually?" This is the type of problem that has motivated the "Big-Data" revolution in Data Science, which has driven progress in fields such as marketing. Here we present an online Big-Data tool called BIG (Biological Information Gatherer) that allows users to submit a single online query to obtain all relevant information from all indexed databases. BIG is accessible at http://big.nhlbi.nih.gov/.

Story-Telling for Science: One Scientist's Story

NASA Astrophysics Data System (ADS)

Alley, R. B.

2014-12-01

Science is the most successful way humans have developed to understand the world, and application of the knowledge gained has been essential in allowing a few million hunter-gatherers become a few billion grower-builders. Yet, at least anecdotally, there is a growing tendency for many people to reject science without knowing what they are rejecting, and the ranks of scientists are thinned by having so many students arrive at our universities neither prepared to study science nor open to the possibility of doing so. This growing gap represents a growing opportunity for scientists to use their expertise in the service of humanity. Based on my experience, the biggest requirement for scientists to do so is simply to engage, but engagement is more successful in teamwork with experienced communicators and unexpected voices, and using narrative and history.

Improved Clinical Performance and Teamwork of Pediatric Interprofessional Resuscitation Teams With a Simulation-Based Educational Intervention.

PubMed

Gilfoyle, Elaine; Koot, Deanna A; Annear, John C; Bhanji, Farhan; Cheng, Adam; Duff, Jonathan P; Grant, Vincent J; St George-Hyslop, Cecilia E; Delaloye, Nicole J; Kotsakis, Afrothite; McCoy, Carolyn D; Ramsay, Christa E; Weiss, Matthew J; Gottesman, Ronald D

2017-02-01

To measure the effect of a 1-day team training course for pediatric interprofessional resuscitation team members on adherence to Pediatric Advanced Life Support guidelines, team efficiency, and teamwork in a simulated clinical environment. Multicenter prospective interventional study. Four tertiary-care children's hospitals in Canada from June 2011 to January 2015. Interprofessional pediatric resuscitation teams including resident physicians, ICU nurse practitioners, registered nurses, and registered respiratory therapists (n = 300; 51 teams). A 1-day simulation-based team training course was delivered, involving an interactive lecture, group discussions, and four simulated resuscitation scenarios, each followed by a debriefing. The first scenario of the day (PRE) was conducted prior to any team training. The final scenario of the day (POST) was the same scenario, with a slightly modified patient history. All scenarios included standardized distractors designed to elicit and challenge specific teamwork behaviors. Primary outcome measure was change (before and after training) in adherence to Pediatric Advanced Life Support guidelines, as measured by the Clinical Performance Tool. Secondary outcome measures were as follows: 1) change in times to initiation of chest compressions and defibrillation and 2) teamwork performance, as measured by the Clinical Teamwork Scale. Correlation between Clinical Performance Tool and Clinical Teamwork Scale scores was also analyzed. Teams significantly improved Clinical Performance Tool scores (67.3-79.6%; p < 0.0001), time to initiation of chest compressions (60.8-27.1 s; p < 0.0001), time to defibrillation (164.8-122.0 s; p < 0.0001), and Clinical Teamwork Scale scores (56.0-71.8%; p < 0.0001). A positive correlation was found between Clinical Performance Tool and Clinical Teamwork Scale (R = 0.281; p < 0.0001). Participation in a simulation-based team training educational intervention significantly improved surrogate measures of clinical performance, time to initiation of key clinical tasks, and teamwork during simulated pediatric resuscitation. A positive correlation between clinical and teamwork performance suggests that effective teamwork improves clinical performance of resuscitation teams.

The Teamwork Assessment Scale: A Novel Instrument to Assess Quality of Undergraduate Medical Students' Teamwork Using the Example of Simulation-based Ward-Rounds.

PubMed

Kiesewetter, Jan; Fischer, Martin R

2015-01-01

Simulation-based teamwork trainings are considered a powerful training method to advance teamwork, which becomes more relevant in medical education. The measurement of teamwork is of high importance and several instruments have been developed for various medical domains to meet this need. To our knowledge, no theoretically-based and easy-to-use measurement instrument has been published nor developed specifically for simulation-based teamwork trainings of medical students. Internist ward-rounds function as an important example of teamwork in medicine. The purpose of this study was to provide a validated, theoretically-based instrument that is easy-to-use. Furthermore, this study aimed to identify if and when rater scores relate to performance. Based on a theoretical framework for teamwork behaviour, items regarding four teamwork components (Team Coordination, Team Cooperation, Information Exchange, Team Adjustment Behaviours) were developed. In study one, three ward-round scenarios, simulated by 69 students, were videotaped and rated independently by four trained raters. The instrument was tested for the embedded psychometric properties and factorial structure. In study two, the instrument was tested for construct validity with an external criterion with a second set of 100 students and four raters. In study one, the factorial structure matched the theoretical components but was unable to separate Information Exchange and Team Cooperation. The preliminary version showed adequate psychometric properties (Cronbach's α=.75). In study two, the instrument showed physician rater scores were more reliable in measurement than those of student raters. Furthermore, a close correlation between the scale and clinical performance as an external criteria was shown (r=.64) and the sufficient psychometric properties were replicated (Cronbach's α=.78). The validation allows for use of the simulated teamwork assessment scale in undergraduate medical ward-round trainings to reliably measure teamwork by physicians. Further studies are needed to verify the applicability of the instrument.

Evaluation of a computer-based educational intervention to improve medical teamwork and performance during simulated patient resuscitations.

PubMed

Fernandez, Rosemarie; Pearce, Marina; Grand, James A; Rench, Tara A; Jones, Kerin A; Chao, Georgia T; Kozlowski, Steve W J

2013-11-01

To determine the impact of a low-resource-demand, easily disseminated computer-based teamwork process training intervention on teamwork behaviors and patient care performance in code teams. A randomized comparison trial of computer-based teamwork training versus placebo training was conducted from August 2010 through March 2011. This study was conducted at the simulation suite within the Kado Family Clinical Skills Center, Wayne State University School of Medicine. Participants (n = 231) were fourth-year medical students and first-, second-, and third-year emergency medicine residents at Wayne State University. Each participant was assigned to a team of four to six members (nteams = 45). Teams were randomly assigned to receive either a 25-minute computer-based training module targeting appropriate resuscitation teamwork behaviors or a placebo training module. Teamwork behaviors and patient care behaviors were video recorded during high-fidelity simulated patient resuscitations and coded by trained raters blinded to condition assignment and study hypotheses. Teamwork behavior items (e.g., "chest radiograph findings communicated to team" and "team member assists with intubation preparation") were standardized before combining to create overall teamwork scores. Similarly, patient care items ("chest radiograph correctly interpreted"; "time to start of compressions") were standardized before combining to create overall patient care scores. Subject matter expert reviews and pilot testing of scenario content, teamwork items, and patient care items provided evidence of content validity. When controlling for team members' medically relevant experience, teams in the training condition demonstrated better teamwork (F [1, 42] = 4.81, p < 0.05; ηp = 10%) and patient care (F [1, 42] = 4.66, p < 0.05; ηp = 10%) than did teams in the placebo condition. Computer-based team training positively impacts teamwork and patient care during simulated patient resuscitations. This low-resource team training intervention may help to address the dissemination and sustainability issues associated with larger, more costly team training programs.

The Teamwork Assessment Scale: A Novel Instrument to Assess Quality of Undergraduate Medical Students' Teamwork Using the Example of Simulation-based Ward-Rounds

PubMed Central

Kiesewetter, Jan; Fischer, Martin R.

2015-01-01

Background: Simulation-based teamwork trainings are considered a powerful training method to advance teamwork, which becomes more relevant in medical education. The measurement of teamwork is of high importance and several instruments have been developed for various medical domains to meet this need. To our knowledge, no theoretically-based and easy-to-use measurement instrument has been published nor developed specifically for simulation-based teamwork trainings of medical students. Internist ward-rounds function as an important example of teamwork in medicine. Purposes: The purpose of this study was to provide a validated, theoretically-based instrument that is easy-to-use. Furthermore, this study aimed to identify if and when rater scores relate to performance. Methods: Based on a theoretical framework for teamwork behaviour, items regarding four teamwork components (Team Coordination, Team Cooperation, Information Exchange, Team Adjustment Behaviours) were developed. In study one, three ward-round scenarios, simulated by 69 students, were videotaped and rated independently by four trained raters. The instrument was tested for the embedded psychometric properties and factorial structure. In study two, the instrument was tested for construct validity with an external criterion with a second set of 100 students and four raters. Results: In study one, the factorial structure matched the theoretical components but was unable to separate Information Exchange and Team Cooperation. The preliminary version showed adequate psychometric properties (Cronbach’s α=.75). In study two, the instrument showed physician rater scores were more reliable in measurement than those of student raters. Furthermore, a close correlation between the scale and clinical performance as an external criteria was shown (r=.64) and the sufficient psychometric properties were replicated (Cronbach’s α=.78). Conclusions: The validation allows for use of the simulated teamwork assessment scale in undergraduate medical ward-round trainings to reliably measure teamwork by physicians. Further studies are needed to verify the applicability of the instrument. PMID:26038684

Making an "Attitude Adjustment": Using a Simulation-Enhanced Interprofessional Education Strategy to Improve Attitudes Toward Teamwork and Communication.

PubMed

Wong, Ambrose Hon-Wai; Gang, Maureen; Szyld, Demian; Mahoney, Heather

2016-04-01

Health care providers must effectively function in highly skilled teams in a collaborative manner, but there are few interprofessional training strategies in place. Interprofessional education (IPE) using simulation technology has gained popularity to address this need because of its inherent ability to impact learners' cognitive frames and promote peer-to-peer dialog. Provider attitudes toward teamwork have been directly linked to the quality of patient care. Investigators implemented a simulation-enhanced IPE intervention to improve staff attitudes toward teamwork and interprofessional communication in the emergency department setting. The 3-hour course consisted of a didactic session highlighting teamwork and communication strategies, 2 simulation scenarios on septic shock and cardiac arrest, and structured debriefing directed at impacting participant attitudes to teamwork and communication. This was a survey-based observational study. We used the TeamSTEPPS Teamwork Attitudes Questionnaire immediately before and after the session as a measurement of attitude change as well as the Hospital Survey on Patient Safety Culture before the session and 1 year after the intervention for program impact at the behavior level. Seventy-two emergency department nurses and resident physicians participated in the course from July to September 2012. Of the 5 constructs in TeamSTEPPS Teamwork Attitudes Questionnaire, 4 had a significant improvement in scores-6.4%, 2.8%, 4.0%, and 4.0% for team structure, leadership, situation monitoring, and mutual support, respectively (P < 0.0001, P = 0.029, P = 0.014, and P = 0.003, respectively). For Hospital Survey on Patient Safety Culture, 3 of 6 composites directly related to teamwork and communication showed a significant improvement-20.6%, 20.5%, and 23.9%, for frequency of event reporting, teamwork within hospital units, and hospital handoffs and transitions, respectively (P = 0.028, P = 0.035, and P = 0.024, respectively). A simulation-enhanced IPE curriculum was successful in improving participant attitudes toward teamwork and components of patient safety culture related to teamwork and communication.

Precision Nutrition 4.0: A Big Data and Ethics Foresight Analysis--Convergence of Agrigenomics, Nutrigenomics, Nutriproteomics, and Nutrimetabolomics.

PubMed

Özdemir, Vural; Kolker, Eugene

2016-02-01

Nutrition is central to sustenance of good health, not to mention its role as a cultural object that brings together or draws lines among societies. Undoubtedly, understanding the future paths of nutrition science in the current era of Big Data remains firmly on science, technology, and innovation strategy agendas around the world. Nutrigenomics, the confluence of nutrition science with genomics, brought about a new focus on and legitimacy for "variability science" (i.e., the study of mechanisms of person-to-person and population differences in response to food, and the ways in which food variably impacts the host, for example, nutrient-related disease outcomes). Societal expectations, both public and private, and claims over genomics-guided and individually-tailored precision diets continue to proliferate. While the prospects of nutrition science, and nutrigenomics in particular, are established, there is a need to integrate the efforts in four Big Data domains that are naturally allied--agrigenomics, nutrigenomics, nutriproteomics, and nutrimetabolomics--that address complementary variability questions pertaining to individual differences in response to food-related environmental exposures. The joint use of these four omics knowledge domains, coined as Precision Nutrition 4.0 here, has sadly not been realized to date, but the potentials for such integrated knowledge innovation are enormous. Future personalized nutrition practices would benefit from a seamless planning of life sciences funding, research, and practice agendas from "farm to clinic to supermarket to society," and from "genome to proteome to metabolome." Hence, this innovation foresight analysis explains the already existing potentials waiting to be realized, and suggests ways forward for innovation in both technology and ethics foresight frames on precision nutrition. We propose the creation of a new Precision Nutrition Evidence Barometer for periodic, independent, and ongoing retrieval, screening, and aggregation of the relevant life sciences data. For innovation in Big Data ethics oversight, we suggest "nested governance" wherein the processes of knowledge production are made transparent in the continuum from life sciences and social sciences to humanities, and where each innovation actor reports to another accountability and transparency layer: scientists to ethicists, and ethicists to scholars in the emerging field of ethics-of-ethics. Such nested innovation ecosystems offer safety against innovation blind spots, calibrate visible/invisible power differences in the cultures of science or ethics, and ultimately, reducing the risk of "paper values"--what people say--and "real values"--what innovation actors actually do. We are optimistic that the convergence of nutrigenomics with nutriproteomics, nutrimetabolomics, and agrigenomics can build a robust, sustainable, and trustworthy precision nutrition 4.0 agenda, as articulated in this Big Data and ethics foresight analysis.

Bigfoot Field Manual

NASA Astrophysics Data System (ADS)

Campbell, J. L.; Burrows, S.; Gower, S. T.; Cohen, W. B.

1999-09-01

The BigFoot Project is funded by the Earth Science Enterprise to collect and organize data to be used in the EOS Validation Program. The data collected by the BigFoot Project are unique in being ground-based observations coincident with satellite overpasses. In addition to collecting data, the BigFoot project will develop and test new algorithms for scaling point measurements to the same spatial scales as the EOS satellite products. This BigFoot Field Manual Mill be used to achieve completeness and consistency of data collected at four initial BigFoot sites and at future sites that may collect similar validation data. Therefore, validation datasets submitted to the ORNL DAAC that have been compiled in a manner consistent with the field manual will be especially valuable in the validation program.

Developing team cognition: A role for simulation

PubMed Central

Fernandez, Rosemarie; Shah, Sachita; Rosenman, Elizabeth D.; Kozlowski, Steve W. J.; Parker, Sarah Henrickson; Grand, James A.

2016-01-01

SUMMARY STATEMENT Simulation has had a major impact in the advancement of healthcare team training and assessment. To date, the majority of simulation-based training and assessment focuses on the teamwork behaviors that impact team performance, often ignoring critical cognitive, motivational, and affective team processes. Evidence from team science research demonstrates a strong relationship between team cognition and team performance and suggests a role for simulation in the development of this team-level construct. In this article we synthesize research from the broader team science literature to provide foundational knowledge regarding team cognition and highlight best practices for using simulation to target team cognition. PMID:28704287

C3Conflict a Simulation Environment for Studying Teamwork in Command and Control

DTIC Science & Technology

2011-06-01

the Sciences (pp. 173- 217). Amsterdam/New York: Rodopi. Kolb , D. A. (1984). Experiential Learning – Experience as a source of learning and...increases dramatically when the students can see a replay and discuss their collaboration. Kolb has expressed a generally accepted model of experiential ... learning ( Kolb , 1998). The model can be adapted for research and team training performed with computer-based simulations (Granlund, 2008). The main

Changes in safety climate and teamwork in the operating room after implementation of a revised WHO checklist: a prospective interventional study.

PubMed

Erestam, Sofia; Haglind, Eva; Bock, David; Andersson, Annette Erichsen; Angenete, Eva

2017-01-01

Inter-professional teamwork in the operating room is important for patient safety. The World Health Organization (WHO) checklist was introduced to improve intraoperative teamwork. The aim of this study was to evaluate the safety climate in a Swedish operating room setting before and after an intervention, using a revised version of the WHO checklist to improve teamwork. This study is a single center prospective interventional study. Participants were personnel working in operating room teams including surgeons, anesthesiologists, scrub nurses, nurse anaesthetists and nurse assistants. The study started with pre-interventional observations of the WHO checklist use followed by education on safety climate, the WHO checklist, and non-technical skills in the operating room. Thereafter a revised version of the WHO checklist was introduced. Post-interventional observations regarding the performance of the WHO checklist were carried out. The Safety Attitude Questionnaire was used to assess safety climate at baseline and post-intervention. At baseline we discovered a need for improved teamwork and communication. The participants considered teamwork to be important for patient safety, but had different perceptions of good teamwork between professions. The intervention, a revised version of the WHO checklist, did not affect teamwork climate. Adherence to the revision of the checklist was insufficient, dominated by a lack of structure. There was no significant change in teamwork climate by use of the revised WHO checklist, which may be due to insufficient implementation, as a lack of adherence to the WHO checklist was detected. We found deficiencies in teamwork and communication. Further studies exploring how to improve safety climate are needed. NCT02329691.

Solar-Terrestrial and Astronomical Research Network (STAR-Network) - A Meaningful Practice of New Cyberinfrastructure on Space Science

NASA Astrophysics Data System (ADS)

Hu, X.; Zou, Z.

2017-12-01

For the next decades, comprehensive big data application environment is the dominant direction of cyberinfrastructure development on space science. To make the concept of such BIG cyberinfrastructure (e.g. Digital Space) a reality, these aspects of capability should be focused on and integrated, which includes science data system, digital space engine, big data application (tools and models) and the IT infrastructure. In the past few years, CAS Chinese Space Science Data Center (CSSDC) has made a helpful attempt in this direction. A cloud-enabled virtual research platform on space science, called Solar-Terrestrial and Astronomical Research Network (STAR-Network), has been developed to serve the full lifecycle of space science missions and research activities. It integrated a wide range of disciplinary and interdisciplinary resources, to provide science-problem-oriented data retrieval and query service, collaborative mission demonstration service, mission operation supporting service, space weather computing and Analysis service and other self-help service. This platform is supported by persistent infrastructure, including cloud storage, cloud computing, supercomputing and so on. Different variety of resource are interconnected: the science data can be displayed on the browser by visualization tools, the data analysis tools and physical models can be drived by the applicable science data, the computing results can be saved on the cloud, for example. So far, STAR-Network has served a series of space science mission in China, involving Strategic Pioneer Program on Space Science (this program has invested some space science satellite as DAMPE, HXMT, QUESS, and more satellite will be launched around 2020) and Meridian Space Weather Monitor Project. Scientists have obtained some new findings by using the science data from these missions with STAR-Network's contribution. We are confident that STAR-Network is an exciting practice of new cyberinfrastructure architecture on space science.

Developing a high-performance team training framework for internal medicine residents: the ABC'S of teamwork.

PubMed

Carbo, Alexander R; Tess, Anjala V; Roy, Christopher; Weingart, Saul N

2011-06-01

Effective teamwork and communication can prevent error and mitigate harm. High-performance team training was developed in the aviation industry for flight crews and is being incorporated in health care settings, such as emergency departments, operating rooms, and labor and delivery suites. We translated and adapted high-performance teamwork and communication principles from other industries and other disciplines to an inpatient internal medicine environment. We selected key principles from aviation and anesthesia crew training programs in 2004 and organized them into the ABC'S of teamwork. These included appropriate Assertiveness, effective Briefings, Callback and verification, Situational awareness, and Shared mental models. Based on this content, we developed a training session for internal medicine residents and faculty, and evaluated learners' patient safety attitudes and knowledge before and after training with a written survey. More than 50 residents participated in the module. The percentage of correct answers on a question related to key teamwork principles increased from 35% before training to 67% after training (P = 0.03). Before training, 65% of the residents reported that they "would feel comfortable telling a senior clinician his/her plan was unsafe"; this increased to 94% after training (P = 0.005). After the training session, residents were able to provide examples from their clinical practice that emphasized all of the ABC'S of teamwork. Teamwork principles can be adapted from other disciplines and applied to internal medicine. After a single session, residents displayed greater knowledge of teamwork principles and reported changed attitudes toward key teamwork behaviors.

Quantifying the performance of individual players in a team activity.

PubMed

Duch, Jordi; Waitzman, Joshua S; Amaral, Luís A Nunes

2010-06-16

Teamwork is a fundamental aspect of many human activities, from business to art and from sports to science. Recent research suggest that team work is of crucial importance to cutting-edge scientific research, but little is known about how teamwork leads to greater creativity. Indeed, for many team activities, it is not even clear how to assign credit to individual team members. Remarkably, at least in the context of sports, there is usually a broad consensus on who are the top performers and on what qualifies as an outstanding performance. In order to determine how individual features can be quantified, and as a test bed for other team-based human activities, we analyze the performance of players in the European Cup 2008 soccer tournament. We develop a network approach that provides a powerful quantification of the contributions of individual players and of overall team performance. We hypothesize that generalizations of our approach could be useful in other contexts where quantification of the contributions of individual team members is important.

Interprofessional teamwork skills as predictors of clinical outcomes in a simulated healthcare setting.

PubMed

Shrader, Sarah; Kern, Donna; Zoller, James; Blue, Amy

2013-01-01

Teaching interprofessional (IP) teamwork skills is a goal of interprofessional education. The purpose of this study was to examine the relationship between IP teamwork skills, attitudes and clinical outcomes in a simulated clinical setting. One hundred-twenty health professions students (medicine, pharmacy, physician assistant) worked in interprofessional teams to manage a "patient" in a health care simulation setting. Students completed the Interdisciplinary Education Perception Scale (IEPS) attitudinal survey instrument. Students' responses were averaged by team to create an IEPS attitudes score. Teamwork skills for each team were rated by trained observers using a checklist to calculate a teamwork score (TWS). Clinical outcome scores (COS) were determined by summation of completed clinical tasks performed by the team based on an expert developed checklist. Regression analyses were conducted to determine the relationship of IEPS and TWS with COS. IEPS score was not a significant predictor of COS (p=0.054), but TWS was a significant predictor (p<0.001) of COS. Results suggest that in a simulated clinical setting, students' interprofessional teamwork skills are significant predictors of positive clinical outcomes. Interprofessional curricular models that produce effective teamwork skills can improve student performance in clinical environments and likely improve teamwork practice to positively affect patient care outcomes.

Framework development for the assessment of interprofessional teamwork in mental health settings.

PubMed

Tomizawa, Ryoko; Shigeta, Masahiro; Reeves, Scott

2017-01-01

In mental health settings, interprofessional practice is regarded as a comprehensive approach to prevent relapse and manage chronic conditions with practice of various teamwork interventions. To reinforce the potential of interprofessional teamwork, it is recommended that theories or conceptual frameworks be employed. There continues, however, to be a limited use of such approaches that assess the quality of interprofessional teamwork in mental health settings. This article aimed to present a new conceptual framework for the assessment of interprofessional teamwork based on the findings of a scoping review of the literature. This review was undertaken to identify conceptual frameworks utilised in interprofessional teamwork in mental health settings. After reviewing 952 articles, the methodological characteristics extracted from 12 articles were considered. The included studies were synthesised into the Donabedian structure-process-outcome model. The findings revealed that structural issues comprised three elements: professional characteristics, client-care characteristics, and contextual characteristics in organisations. Process issues comprised two elements: team mechanisms and community-oriented services. Finally, outcome issues comprised the following elements: clients' outcomes and professionals' outcomes. The review findings suggested possibilities for further development of how to assess the quality of interprofessional teamwork and provided information about what specific approach is required to improve interprofessional teamwork. Future research should utilise various areas and cultures to clarify the adaptation potential.

Team training for safer birth.

PubMed

Cornthwaite, Katie; Alvarez, Mary; Siassakos, Dimitrios

2015-11-01

Effective and coordinated teamworking is key to achieving safe birth for mothers and babies. Confidential enquiries have repeatedly identified deficiencies in teamwork as factors contributing to poor maternal and neonatal outcomes. The ingredients of a successful multi-professional team are varied, but research has identified some fundamental teamwork behaviours, with good communication, proficient leadership and situational awareness at the heart. Simple, evidence-based methods in teamwork training can be seamlessly integrated into a core, mandatory obstetric emergency training. Training should be an enjoyable, inclusive and beneficial experience for members of staff. Training in teamwork can lead to improved clinical outcomes and better birth experience for women. Copyright © 2015 Elsevier Ltd. All rights reserved.

Family physicians' perspectives on interprofessional teamwork: Findings from a qualitative study.

PubMed

Szafran, Olga; Torti, Jacqueline M I; Kennett, Sandra L; Bell, Neil R

2018-03-01

The aim of this study was to describe family physicians' perspectives of their role in the primary care team and factors that facilitate and hinder teamwork. A qualitative study was conducted employing individual interviews with 19 academic/community-based family physicians who were part of interprofessional primary care teams in Edmonton, Alberta, Canada. Professional responsibilities and roles of physicians within the team and the facilitators and barriers to teamwork were investigated. Interviews were audiotaped, transcribed and analysed for emerging themes. The study findings revealed that family physicians consistently perceived themselves as having the leadership role on in the primary care team. Facilitators of teamwork included: communication; trust and respect; defined roles/responsibilities of team members; co-location; task shifting to other health professionals; and appropriate payment mechanisms. Barriers to teamwork included: undefined roles/responsibilities; lack of space; frequent staff turnover; network boundaries; and a culture of power and control. The findings suggest that moving family physicians toward more integrative and interdependent functioning within the primary care team will require overcoming the culture of traditional professional roles, addressing facilitators and barriers to teamwork, and providing training in teamwork.

Interprofessional Teamwork and Collaboration Between Community Health Workers and Healthcare Teams: An Integrative Review.

PubMed

Franklin, Catherine M; Bernhardt, Jean M; Lopez, Ruth Palan; Long-Middleton, Ellen R; Davis, Sheila

2015-01-01

Community Health Workers (CHWs) serve as a means of improving outcomes for underserved populations. However, their relationship within health care teams is not well studied. The purpose of this integrative review was to examine published research reports that demonstrated positive health outcomes as a result of CHW intervention to identify interprofessional teamwork and collaboration between CHWs and health care teams. A total of 47 studies spanning 33 years were reviewed using an integrative literature review methodology for evidence to support the following assumptions of effective interprofessional teamwork between CHWs and health care teams: (1) shared understanding of roles, norms, values, and goals of the team; (2) egalitarianism; (3) cooperation; (4) interdependence; and(5) synergy. Of the 47 studies, 12 reported at least one assumption of effective interprofessional teamwork. Four studies demonstrated all 5 assumptions of interprofessional teamwork. Four studies identified in this integrative review serve as exemplars for effective interprofessional teamwork between CHWs and health care teams. Further study is needed to describe the nature of interprofessional teamwork and collaboration in relation to patient health outcomes.

Interprofessional Teamwork and Collaboration Between Community Health Workers and Healthcare Teams

PubMed Central

Bernhardt, Jean M.; Lopez, Ruth Palan; Long-Middleton, Ellen R.; Davis, Sheila

2015-01-01

Objectives: Community Health Workers (CHWs) serve as a means of improving outcomes for underserved populations. However, their relationship within health care teams is not well studied. The purpose of this integrative review was to examine published research reports that demonstrated positive health outcomes as a result of CHW intervention to identify interprofessional teamwork and collaboration between CHWs and health care teams. Methods: A total of 47 studies spanning 33 years were reviewed using an integrative literature review methodology for evidence to support the following assumptions of effective interprofessional teamwork between CHWs and health care teams: (1) shared understanding of roles, norms, values, and goals of the team; (2) egalitarianism; (3) cooperation; (4) interdependence; and(5) synergy. Results: Of the 47 studies, 12 reported at least one assumption of effective interprofessional teamwork. Four studies demonstrated all 5 assumptions of interprofessional teamwork. Conclusions: Four studies identified in this integrative review serve as exemplars for effective interprofessional teamwork between CHWs and health care teams. Further study is needed to describe the nature of interprofessional teamwork and collaboration in relation to patient health outcomes. PMID:28462254

Putting the "we" into teamwork: effects of priming personal or social identity on flight attendants' perceptions of teamwork and communication.

PubMed

Ford, Jane; O'Hare, David; Henderson, Robert

2013-06-01

The study was designed to investigate the effectiveness of a manipulation derived from social categorization and social identity theory to promote greater cabin crew willingness to engage in intergroup communication and teamwork in airline operations. Failures of communication and teamwork between airline crew have been implicated in a number of airline crashes. Flight attendants based domestically (n = 254) or overseas (n = 230) received a manipulation designed to prime either their social identity or personal identity and then read a brief outline of an in-flight event before completing a teamwork questionnaire. Flight attendants who received a social identity prime indicated increased willingness to engage in coordinated team action compared with those who received a personal identity prime. Priming social identity can enhance attitudes toward teamwork and communication, potentially leading to increased willingness to engage in intergroup cooperation. Social categorization and social identity theories can be used to inform joint training program development for flight attendants and pilots to create increased willingness for group members to participate in effective communication and teamwork behaviors.

Introducing Teamwork Challenges in Simulation Using Game Cards.

PubMed

Chang, Todd P; Kwan, Karen Y; Liberman, Danica; Song, Eric; Dao, Eugene H; Chung, Dayun; Morton, Inge; Festekjian, Ara

2015-08-01

Poor teamwork and communication during resuscitations are linked to patient safety problems and poorer outcomes. We present a novel simulation-based educational intervention using game cards to introduce challenges in teamwork. This intervention uses sets of game cards that designate roles, limitations, or communication challenges designed to introduce common communication or teamwork problems. Game cards are designed to be applicable for any simulation-based scenario and are independent from patient physiology. In our example, participants were pediatric emergency medicine fellows undergoing simulation training for orientation. We describe the use of card sets in different scenarios with increasing teamwork challenge and difficulty. Both postscenario and summative debriefings were facilitated to allow participants to reflect on their performance and discover ways to apply their strategies to real resuscitations. In this article, we present our experience with the novel use of game cards to modify simulation scenarios to improve communication and teamwork skills.

Assessing teamwork competence.

PubMed

Torrelles Nadal, Cristina; Paris Mañas, Georgina; Sabrià Bernadó, Betlem; Alsinet Mora, Carles

2015-01-01

In recent years, organizations of all types have undergone major changes, and teamwork is one of them. This way of working generates greater profits for an organization. This article aims to assess the teamwork competence of the employees of various Spanish companies in order to determine how effective the team members are in their professional actions. We contacted 55 teams from different organizations and obtained a non-probabilistic sample comprised of 55 participants (subjects tested) and 218 observers (evaluators: coordinators and co-workers). The instrument used for data collection was the Teamwork Rubric (Torrelles, 2011) and data analysis was based on 360º feedback. 80% of the teams analyzed obtained median scores for teamwork competence that were greater than 3, whereas 20% obtained scores between 2 and 3. The results showed that the workers in the companies studied had not fully acquired teamwork competence. It is necessary to find training solutions to improve their level of acquisition, particularly the dimensions of performance and regulation.

Do transactive memory and participative teamwork improve nurses' quality of work life?

PubMed

Brunault, Paul; Fouquereau, Evelyne; Colombat, Philippe; Gillet, Nicolas; El-Hage, Wissam; Camus, Vincent; Gaillard, Philippe

2014-03-01

Improvement in nurses' quality of work life (QWL) has become a major issue in health care organizations. We hypothesized that the level of transactive memory (defined as the way groups collectively encode, store, and retrieve knowledge) and participative teamwork (an organizational model of care based on vocational training, a specific service's care project, and regular interdisciplinary staffing) positively affect nurses' QWL. This cross-sectional study enrolled 84 ward-based psychiatric nurses. We assessed transactive memory, participative teamwork, perceived organizational justice, perceived organizational support, and QWL using psychometrically reliable and valid scales. Participative teamwork and transactive memory were positively associated with nurses' QWL. Perceived organizational support and organizational justice fully mediated the relationship between participative teamwork and QWL, but not between transactive memory and QWL. Improved transactive memory could directly improve nurses' QWL. Improved participative teamwork could improve nurses' QWL through better perceived organizational support and perceived organizational justice.

Measuring Adolescent Science Motivation

ERIC Educational Resources Information Center

Schumm, Maximiliane F.; Bogner, Franz X.

2016-01-01

To monitor science motivation, 232 tenth graders of the college preparatory level ("Gymnasium") completed the Science Motivation Questionnaire II (SMQ-II). Additionally, personality data were collected using a 10-item version of the Big Five Inventory. A subsequent exploratory factor analysis based on the eigenvalue-greater-than-one…

Technology for Mining the Big Data of MOOCs

ERIC Educational Resources Information Center

O'Reilly, Una-May; Veeramachaneni, Kalyan

2014-01-01

Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…

Big Ideas at the Center for Innovation in Education at Thomas College

ERIC Educational Resources Information Center

Prawat, Ted

2016-01-01

Schools and teachers are looking for innovative ways to teach the "big ideas" emerging in the core curricula, especially in STEAM fields (science technology, engineering, arts and math). As a result, learning environments that support digital learning and educational technology on various platforms and devices are taking on…

The Big Bang: UK Young Scientists' and Engineers' Fair 2010

ERIC Educational Resources Information Center

Allison, Simon

2010-01-01

The Big Bang: UK Young Scientists' and Engineers' Fair is an annual three-day event designed to promote science, technology, engineering and maths (STEM) careers to young people aged 7-19 through experiential learning. It is supported by stakeholders from business and industry, government and the community, and brings together people from various…

Evolution of the Air Toxics under the Big Sky Program

ERIC Educational Resources Information Center

Marra, Nancy; Vanek, Diana; Hester, Carolyn; Holian, Andrij; Ward, Tony; Adams, Earle; Knuth, Randy

2011-01-01

As a yearlong exploration of air quality and its relation to respiratory health, the "Air Toxics Under the Big Sky" program offers opportunities for students to learn and apply science process skills through self-designed inquiry-based research projects conducted within their communities. The program follows a systematic scope and sequence…

Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology

USDA-ARS?s Scientific Manuscript database

Most efforts to harness the power of big data for ecology and environmental sciences focus on data and metadata sharing, standardization, and accuracy. However, many scientists have not accepted the data deluge as an integral part of their research because the current scientific method is not scalab...

Mount Sharp Inside Gale Crater, Mars

NASA Image and Video Library

2012-03-28

Curiosity, the big rover of NASA Mars Science Laboratory mission, will land in August 2012 near the foot of a mountain inside Gale Crater. The mission project science group is calling the mountain Mount Sharp.

Combustion Science for Cleaner Fuels

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

Ahmed, Musahid

2014-10-17

Musahid Ahmed discusses how he and his team use the Advanced Light Source (ALS) to study combustion chemistry at our '8 Big Ideas' Science at the Theater event on October 8th, 2014, in Oakland, California.

Combustion Science for Cleaner Fuels

ScienceCinema

Ahmed, Musahid

2018-01-16

Musahid Ahmed discusses how he and his team use the Advanced Light Source (ALS) to study combustion chemistry at our '8 Big Ideas' Science at the Theater event on October 8th, 2014, in Oakland, California.

Rocketdyne - Lunar Ascent Engine. Chapter 7, Appendix I

NASA Technical Reports Server (NTRS)

Harmon, Tim

2009-01-01

The ascent engine was the last one from the moon, and I want to focus on the idea of redundancy and teams in regard to the engine. By teams, I mean teamwork - not just within Rocketdyne. It was teamwork within Rocketdyne; it was teamwork within Grumman; it was teamwork within NASA. These were all important elements leading to the successful development of the lunar excursion module (LEM) engine. Communication, rapid response, and cooperation were all important. Another aspect that went into the development of the ascent engine was the integration of technology and of lessons learned. We pushed all the above, plus technology and lessons learned, into a program, and that led to a successful result. One of the things that I like to think about - again in retrospect - is how it is very "in" now to have integrated product and process teams. These are buzzwords for teamwork in all program phases. That s where you combine a lot of groups into a single organization to get a job done. The ascent engine program epitomized that kind of integration and focus, and because this was the mid- to late-1960s; this was new ground for Rocketdyne, Grumman, and NASA. Redundancy was really a major hallmark of the Apollo Program. Everything was redundant. Once you got the rocket going, you could even lose one of the big F-1 engines, and it would still make it to orbit. And once the first stage separated from the rest of the vehicle, the second stage could do without an engine and still make a mission. This redundancy was demonstrated when an early Apollo launch shut down a J-2 second-stage engine. Actually, they shut down two J-2 engines on that flight. Even the third stage, with its single J-2 engine, was backed up because the first two stages could toss it into a recoverable orbit. If the third stage didn't work, you were circling the earth, and you had time to recover the command module and crew. Remember how on the Apollo 13 flight, there was sufficient system redundancy even when we lost the service module. That was a magnificent effort. TRW Inc. really ought to be proud of their engine for that. (See Slide 2, Appendix I) We had planned for redundancy; we had landed on the moon. However, weight restrictions in the architecture said, "You can t have redundancy for ascent from the moon. You've got one engine. It s got to work. There is no second chance. If that ascent engine doesn't work, you re stuck there." It would not have looked good for NASA. It wouldn't have looked good for the country. There was a letter written that President Richard Nixon would read if the astronauts got stuck on the moon, expressing how sorry we were and so forth. It was a scary letter, really. The ascent engine was an engine that had to work. (See Slide 3, Appendix I).

Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology.

PubMed

Salazar, Brittany M; Balczewski, Emily A; Ung, Choong Yong; Zhu, Shizhen

2016-12-27

Pediatric cancers rarely exhibit recurrent mutational events when compared to most adult cancers. This poses a challenge in understanding how cancers initiate, progress, and metastasize in early childhood. Also, due to limited detected driver mutations, it is difficult to benchmark key genes for drug development. In this review, we use neuroblastoma, a pediatric solid tumor of neural crest origin, as a paradigm for exploring "big data" applications in pediatric oncology. Computational strategies derived from big data science-network- and machine learning-based modeling and drug repositioning-hold the promise of shedding new light on the molecular mechanisms driving neuroblastoma pathogenesis and identifying potential therapeutics to combat this devastating disease. These strategies integrate robust data input, from genomic and transcriptomic studies, clinical data, and in vivo and in vitro experimental models specific to neuroblastoma and other types of cancers that closely mimic its biological characteristics. We discuss contexts in which "big data" and computational approaches, especially network-based modeling, may advance neuroblastoma research, describe currently available data and resources, and propose future models of strategic data collection and analyses for neuroblastoma and other related diseases.

The dynamics of big data and human rights: the case of scientific research.

PubMed

Vayena, Effy; Tasioulas, John

2016-12-28

In this paper, we address the complex relationship between big data and human rights. Because this is a vast terrain, we restrict our focus in two main ways. First, we concentrate on big data applications in scientific research, mostly health-related research. And, second, we concentrate on two human rights: the familiar right to privacy and the less well-known right to science. Our contention is that human rights interact in potentially complex ways with big data, not only constraining it, but also enabling it in various ways; and that such rights are dynamic in character, rather than fixed once and for all, changing in their implications over time in line with changes in the context we inhabit, and also as they interact among themselves in jointly responding to the opportunities and risks thrown up by a changing world. Understanding this dynamic interaction of human rights is crucial for formulating an ethic tailored to the realities-the new capabilities and risks-of the rapidly evolving digital environment.This article is part of the themed issue 'The ethical impact of data science'. © 2016 The Author(s).

BIG: a large-scale data integration tool for renal physiology

PubMed Central

Zhao, Yue; Yang, Chin-Rang; Raghuram, Viswanathan; Parulekar, Jaya

2016-01-01

Due to recent advances in high-throughput techniques, we and others have generated multiple proteomic and transcriptomic databases to describe and quantify gene expression, protein abundance, or cellular signaling on the scale of the whole genome/proteome in kidney cells. The existence of so much data from diverse sources raises the following question: “How can researchers find information efficiently for a given gene product over all of these data sets without searching each data set individually?” This is the type of problem that has motivated the “Big-Data” revolution in Data Science, which has driven progress in fields such as marketing. Here we present an online Big-Data tool called BIG (Biological Information Gatherer) that allows users to submit a single online query to obtain all relevant information from all indexed databases. BIG is accessible at http://big.nhlbi.nih.gov/. PMID:27279488

Commentary: Epidemiology in the era of big data.

PubMed

Mooney, Stephen J; Westreich, Daniel J; El-Sayed, Abdulrahman M

2015-05-01

Big Data has increasingly been promoted as a revolutionary development in the future of science, including epidemiology. However, the definition and implications of Big Data for epidemiology remain unclear. We here provide a working definition of Big Data predicated on the so-called "three V's": variety, volume, and velocity. From this definition, we argue that Big Data has evolutionary and revolutionary implications for identifying and intervening on the determinants of population health. We suggest that as more sources of diverse data become publicly available, the ability to combine and refine these data to yield valid answers to epidemiologic questions will be invaluable. We conclude that while epidemiology as practiced today will continue to be practiced in the Big Data future, a component of our field's future value lies in integrating subject matter knowledge with increased technical savvy. Our training programs and our visions for future public health interventions should reflect this future.

Epidemiology in the Era of Big Data

PubMed Central

Mooney, Stephen J; Westreich, Daniel J; El-Sayed, Abdulrahman M

2015-01-01

Big Data has increasingly been promoted as a revolutionary development in the future of science, including epidemiology. However, the definition and implications of Big Data for epidemiology remain unclear. We here provide a working definition of Big Data predicated on the so-called ‘3 Vs’: variety, volume, and velocity. From this definition, we argue that Big Data has evolutionary and revolutionary implications for identifying and intervening on the determinants of population health. We suggest that as more sources of diverse data become publicly available, the ability to combine and refine these data to yield valid answers to epidemiologic questions will be invaluable. We conclude that, while epidemiology as practiced today will continue to be practiced in the Big Data future, a component of our field’s future value lies in integrating subject matter knowledge with increased technical savvy. Our training programs and our visions for future public health interventions should reflect this future. PMID:25756221

Art, science, and immersion: data-driven experiences

NASA Astrophysics Data System (ADS)

West, Ruth G.; Monroe, Laura; Ford Morie, Jacquelyn; Aguilera, Julieta

2013-03-01

This panel and dialog-paper explores the potentials at the intersection of art, science, immersion and highly dimensional, "big" data to create new forms of engagement, insight and cultural forms. We will address questions such as: "What kinds of research questions can be identified at the intersection of art + science + immersive environments that can't be expressed otherwise?" "How is art+science+immersion distinct from state-of-the art visualization?" "What does working with immersive environments and visualization offer that other approaches don't or can't?" "Where does immersion fall short?" We will also explore current trends in the application of immersion for gaming, scientific data, entertainment, simulation, social media and other new forms of big data. We ask what expressive, arts-based approaches can contribute to these forms in the broad cultural landscape of immersive technologies.

Second BRITE-Constellation Science Conference: Small satellites—big science, Proceedings of the Polish Astronomical Society volume 5

NASA Astrophysics Data System (ADS)

Zwintz, Konstanze; Poretti, Ennio

2017-09-01

In 2016 the BRITE-Constellation mission had been operational for more than two years. At that time, several hundreds of bright stars of various types had been observed successfully in the two BRITE lters and astonishing new discoveries had been made. Therefore, the time was ripe to host the Second BRITE-Constellation Science Conference: Small satellites | big science" from August 22 to 26, 2016, in the beautiful Madonnensaal of the University of Innsbruck, Austria. With this conference, we brought together the scientic community interested in BRITE-Constellation, pro- vided an update on the status of the mission, presented and discussed latest scientic results, shared our experiences with the data, illustrated successful cooperations between professional and amateur ground-based observers and BRITE scientists, and explored new ideas for future BRITE-Constellation observations.

Advancing interprofessional education through the use of high fidelity human patient simulators

PubMed Central

Smithburger, Pamela L.; Kane-Gill, Sandra L.; Kloet, Megan A.; Lohr, Brian; Seybert, Amy L.

Background Modern medical care increasingly requires coordinated teamwork and communication between healthcare professionals of different disciplines. Unfortunately, healthcare professional students are rarely afforded the opportunity to learn effective methods of interprofessional (IP) communication and teamwork strategies during their education. The question of how to best incorporate IP interactions in the curricula of the schools of health professions remains unanswered. Objective We aim to solve the lack of IP education in the pharmacy curricula through the use of high fidelity simulation (HFS) to allow teams of medical, pharmacy, nursing, physician assistant, and social work students to work together in a controlled environment to solve cases of complex medical and social issues. Methods Once weekly for a 4-week time period, students worked together to complete complex simulation scenarios in small IP teams consisting of pharmacy, medical, nursing, social work, and physician assistant students. Student perception of the use of HFS was evaluated by a survey given at the conclusion of the HFS sessions. Team communication was evaluated through the use of Communication and Teamwork Skills (CATS) Assessment by 2 independent evaluators external to the project. Results The CATS scores improved from the HFS sessions 1 to 2 (p = 0.01), 2 to 3 (p = 0.035), and overall from 1 to 4 (p = 0.001). The inter-rater reliability between evaluators was high (0.85, 95% CI 0.71, 0.99). Students perceived the HFS improved: their ability to communicate with other professionals (median =4); confidence in patient care in an IP team (median=4). It also stimulated student interest in IP work (median=4.5), and was an efficient use of student time (median=4.5) Conclusions The use of HFS improved student teamwork and communication and was an accepted teaching modality. This method of exposing students of the health sciences to IP care should be incorporated throughout the curricula. PMID:24155851

The Impact of Environmental Design on Teamwork and Communication in Healthcare Facilities: A Systematic Literature Review.

PubMed

Gharaveis, Arsalan; Hamilton, D Kirk; Pati, Debajyoti

2018-01-01

The purpose of this systematic review is to investigate the current knowledge about the impact of healthcare facility design on teamwork and communication by exploring the relevant literature. Teamwork and communication are behavioral factors that are impacted by physical design. However, the effects of environmental factors on teamwork and communication have not been investigated extensively in healthcare design literature. There are no published systematic reviews on the current topic. Searches were conducted in PubMed and Google Scholar databases in addition to targeted design journals including Health Environmental Research & Design, Environment and Behavior, Environmental Psychology, and Applied Ergonomics. Inclusion criteria were (a) full-text English language articles related to teamwork and communication and (b) involving any healthcare built environment and space design published in peer-reviewed journals between 1984 and 2017. Studies were extracted using defined inclusion and exclusion criteria. In the first phase, 26 of the 195 articles most relevant to teamwork and 19 studies of the 147 were identified and reviewed to understand the impact of communication in healthcare facilities. The literature regarding the impact of built environment on teamwork and communication were reviewed and explored in detail. Eighteen studies were selected and succinctly summarized as the final product of this review. Environmental design, which involves nurses, support staff, and physicians, is one of the critical factors that promotes the efficiency of teamwork and collaborative communication. Layout design, visibility, and accessibility levels are the most cited aspects of design which can affect the level of communication and teamwork in healthcare facilities.

The effect of socio-cultural characteristics on the effectiveness of teamwork: a study in the Gülhane Military Medical Faculty Training Hospital.

PubMed

Çelen, Özay; Teke, Abdulkadir; Cihangiroglu, Necmettin

2014-11-01

In this study, our aim was to determine the effect of the socio-cultural characteristics of health workers on the effectiveness of teamwork. In this study, a questionnaire method was used for data collection. To this end, a scale was first developed to assess the effectiveness of teamwork. The study was conducted in 34 departments/divisions within the GMMF Training Hospital with 423 health workers. "Specialist opinion" was used to determine the content validity of the "Teamwork Effectiveness Scale" developed for this study, while "factor analysis" was used to test the scale's construct validity. Cronbach Alpha values were calculated to test the reliability of the scale. To determine the effect of socio-cultural characteristics on the effectiveness of teamwork, the "Kruskal-Wallis" test, the "Mann-Whitney U" test and "Logistic Regression Analysis" were used within the context of the study. Based on the study results, it was observed that "assignment, "age" and "status" did not have an effect on the effectiveness of teamwork (p > 0.05). On the other hand, a significant and negative relationship was observed between "the obligation to perform compulsory service" and the attitudes that considered teamwork to be effective (p = 0.029). Similarly, a difference was identified between the workers' attitudes towards the effectiveness of teamwork depending on the size of the place of assignment (p = 0,042). It was thus observed that the "effectiveness of teamwork" was affected by the presence or absence of the "obligation to perform compulsory service" and by the "size of the place of assignment.

Internships in Public Science Education program: a model for informal science education

NASA Astrophysics Data System (ADS)

Zenner, Greta

2005-03-01

The NSF-funded Internships in Public Science Education (IPSE) program provides a unique opportunity for undergraduate and graduate students with varied academic background to experience learning and teaching science--specifically nanotechnology--to the general public and middle-school students. The program is in collaboration with Discovery World Museum of Milwaukee, Wisconsin. IPSE interns have created a number of classroom activities ranging from understanding the scale of a nanometer to experimenting with liquid crystal sensors to critically examining the societal implications of nanotechnology. In a new phase of the program, the interns are developing a museum exhibit on nanotechnology to be housed at the Discovery World Museum. Through this experience, intern teams learn about nanotechnology, brainstorm ideas, present and receive feedback on their ideas, and create an exhibit prototype to explain nanotechnology and related science concepts. The program also focuses on professional development, during which interns learn techniques for presenting to non-technical audiences, strategies for assessing their materials, and work on their skills in teamwork, project design, leadership, and science communication.

Research Data Alliance: Understanding Big Data Analytics Applications in Earth Science

NASA Astrophysics Data System (ADS)

Riedel, Morris; Ramachandran, Rahul; Baumann, Peter

2014-05-01

The Research Data Alliance (RDA) enables data to be shared across barriers through focused working groups and interest groups, formed of experts from around the world - from academia, industry and government. Its Big Data Analytics (BDA) interest groups seeks to develop community based recommendations on feasible data analytics approaches to address scientific community needs of utilizing large quantities of data. BDA seeks to analyze different scientific domain applications (e.g. earth science use cases) and their potential use of various big data analytics techniques. These techniques reach from hardware deployment models up to various different algorithms (e.g. machine learning algorithms such as support vector machines for classification). A systematic classification of feasible combinations of analysis algorithms, analytical tools, data and resource characteristics and scientific queries will be covered in these recommendations. This contribution will outline initial parts of such a classification and recommendations in the specific context of the field of Earth Sciences. Given lessons learned and experiences are based on a survey of use cases and also providing insights in a few use cases in detail.

Research Data Alliance: Understanding Big Data Analytics Applications in Earth Science

NASA Technical Reports Server (NTRS)

Riedel, Morris; Ramachandran, Rahul; Baumann, Peter

2014-01-01

The Research Data Alliance (RDA) enables data to be shared across barriers through focused working groups and interest groups, formed of experts from around the world - from academia, industry and government. Its Big Data Analytics (BDA) interest groups seeks to develop community based recommendations on feasible data analytics approaches to address scientific community needs of utilizing large quantities of data. BDA seeks to analyze different scientific domain applications (e.g. earth science use cases) and their potential use of various big data analytics techniques. These techniques reach from hardware deployment models up to various different algorithms (e.g. machine learning algorithms such as support vector machines for classification). A systematic classification of feasible combinations of analysis algorithms, analytical tools, data and resource characteristics and scientific queries will be covered in these recommendations. This contribution will outline initial parts of such a classification and recommendations in the specific context of the field of Earth Sciences. Given lessons learned and experiences are based on a survey of use cases and also providing insights in a few use cases in detail.

The Big Bang, Genesis, and Knocking on Heaven's Door

NASA Astrophysics Data System (ADS)

Gentry, Robert

2012-03-01

Michael Shermer recently upped the ante in the big bang-Genesis controversy by citing Lisa Randall's provocative claim (Science 334, 762 (2011)) that ``it is inconceivable that God could continue to intervene without introducing a material trace of his actions.'' So does Randall's and Shermer's agreement that no such evidence exists disprove God's existence? Not in my view because my 1970s Science, Nature and ARNS publications, and my article in the 1982 AAAS Western Division's Symposium Proceedings, Evolution Confronts Creation, all contain validation of God's existence via discovery of His Fingerprints of Creation and falsification of the big bang and geological evolution. These results came to wide public/scientific attention in my testimony at the 1981 Arkansas creation/evolution trial. There ACLU witness G Brent Dalrymple from the USGS -- and 2005 Medal of Science recipient from President Bush -- admitted I had discovered a tiny mystery (primordial polonium radiohalos) in granite rocks that indicated their almost instant creation. As a follow-up in 1992 and 1995 he sent out SOS letters to the entire AGU membership that the polonium halo evidence for fiat creation still existed and that someone needed to urgently find a naturalistic explanation for them. Is the physics community guilty of a Watergate-type cover-up of this discovery of God's existence and falsification of the big bang? For the answer see www.halos.tv.

Transnational organizational considerations for sociocultural differences in ethics and virtual team functioning in laboratory animal science.

PubMed

Pritt, Stacy L; Mackta, Jayne

2010-05-01

Business models for transnational organizations include linking different geographies through common codes of conduct, policies, and virtual teams. Global companies with laboratory animal science activities (whether outsourced or performed inhouse) often see the need for these business activities in relation to animal-based research and benefit from them. Global biomedical research organizations can learn how to better foster worldwide cooperation and teamwork by understanding and working with sociocultural differences in ethics and by knowing how to facilitate appropriate virtual team actions. Associated practices include implementing codes and policies transcend cultural, ethnic, or other boundaries and equipping virtual teams with the needed technology, support, and rewards to ensure timely and productive work that ultimately promotes good science and patient safety in drug development.

The moderating effect of teamwork perceptions on the organizational politics--job satisfaction relationship.

PubMed

Valle, M; Witt, L A

2001-06-01

By using regression analyses on data from 355 full-time employees of a customer-service organization in the eastern United States, the authors tested the hypothesis that perceptions of organizational politics are more strongly related to job dissatisfaction among individuals who perceive low levels of teamwork importance than among those who perceive high levels of teamwork importance. Hierarchical moderated regression analysis of the data revealed that the moderating effect of teamwork importance was most relevant at average-to-high levels of perceived politics. That finding supports the assertion that one way to address the negative impact of organizational politics is to try to ensure that employees value teamwork.

Teamwork and Collaboration for Prevention of Surgical Site Infections.

PubMed

Dellinger, E Patchen

2016-04-01

The surgeon has been regarded as the "captain of the ship" in the operating room (OR) for many years, but cannot accomplish successful operative intervention without the rest of the team. Review of the pertinent English-language literature. Many reports demonstrate very different impressions of teamwork and communication in the OR held by different members of the surgical team. Objective measures of teamwork and communication demonstrate a reduction in complications including surgical site infections with improved teamwork and communication, with fewer distractions such as noise, and with effective use of checklists. Efforts to improve teamwork and communication and promote the effective use of checklists promote patient safety and improved outcomes for patients with reduction in surgical site infections.

On Establishing Big Data Wave Breakwaters with Analytics (Invited)

NASA Astrophysics Data System (ADS)

Riedel, M.

2013-12-01

The Research Data Alliance Big Data Analytics (RDA-BDA) Interest Group seeks to develop community based recommendations on feasible data analytics approaches to address scientific community needs of utilizing large quantities of data. RDA-BDA seeks to analyze different scientific domain applications and their potential use of various big data analytics techniques. A systematic classification of feasible combinations of analysis algorithms, analytical tools, data and resource characteristics and scientific queries will be covered in these recommendations. These combinations are complex since a wide variety of different data analysis algorithms exist (e.g. specific algorithms using GPUs of analyzing brain images) that need to work together with multiple analytical tools reaching from simple (iterative) map-reduce methods (e.g. with Apache Hadoop or Twister) to sophisticated higher level frameworks that leverage machine learning algorithms (e.g. Apache Mahout). These computational analysis techniques are often augmented with visual analytics techniques (e.g. computational steering on large-scale high performance computing platforms) to put the human judgement into the analysis loop or new approaches with databases that are designed to support new forms of unstructured or semi-structured data as opposed to the rather tradtional structural databases (e.g. relational databases). More recently, data analysis and underpinned analytics frameworks also have to consider energy footprints of underlying resources. To sum up, the aim of this talk is to provide pieces of information to understand big data analytics in the context of science and engineering using the aforementioned classification as the lighthouse and as the frame of reference for a systematic approach. This talk will provide insights about big data analytics methods in context of science within varios communities and offers different views of how approaches of correlation and causality offer complementary methods to advance in science and engineering today. The RDA Big Data Analytics Group seeks to understand what approaches are not only technically feasible, but also scientifically feasible. The lighthouse Goal of the RDA Big Data Analytics Group is a classification of clever combinations of various Technologies and scientific applications in order to provide clear recommendations to the scientific community what approaches are technicalla and scientifically feasible.

An exploration of emergency nurses' perceptions, attitudes and experience of teamwork in the emergency department.

PubMed

Grover, Elise; Porter, Joanne E; Morphet, Julia

2017-05-01

Teamwork may assist with increased levels of efficiency and safety of patient care in the emergency department (ED), with emergency nurses playing an indispensable role in this process. A descriptive, exploratory approach was used, drawing on principles from phenomenology and symbolic interactionism. Convenience, purposive sampling was used in a major metropolitan ED. Semi structured interviews were conducted, audio recorded, and transcribed verbatim. Transcripts were analysed using thematic analysis. Three major themes emerged from the data. The first theme 'when teamwork works' supported the notion that emergency nurses perceived teamwork as a positive and effective construct in four key areas; resuscitation, simulation training, patient outcomes and staff satisfaction. The second theme 'team support' revealed that back up behaviour and leadership were critical elements of team effectiveness within the study setting. The third theme 'no time for teamwork' centred around periods when teamwork practices failed due to various contributing factors including inadequate resources and skill mix. Outcomes of effective teamwork were valued by emergency nurses. Teamwork is about performance, and requires a certain skill set not necessarily naturally possessed among emergency nurses. Building a resilient team inclusive of strong leadership and communication skills is essential to being able to withstand the challenging demands of the ED. Copyright © 2017 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.

Can teamwork and situational awareness (SA) in ED resuscitations be improved with a technological cognitive aid? Design and a pilot study of a team situation display.

PubMed

Parush, A; Mastoras, G; Bhandari, A; Momtahan, K; Day, K; Weitzman, B; Sohmer, B; Cwinn, A; Hamstra, S J; Calder, L

2017-12-01

Effective teamwork in ED resuscitations, including information sharing and situational awareness, could be degraded. Technological cognitive aids can facilitate effective teamwork. This study focused on the design of an ED situation display and pilot test its influence on teamwork and situational awareness during simulated resuscitation scenarios. The display design consisted of a central area showing the critical dynamic parameters of the interventions with an events time-line below it. Static information was placed at the sides of the display. We pilot tested whether the situation display could lead to higher scores on the Clinical Teamwork Scale (CTS), improved scores on a context-specific Situational Awareness Global Assessment Technique (SAGAT) tool, and team communication patterns that reflect teamwork and situational awareness. Resuscitation teamwork, as measured by the CTS, was overall better with the presence of the situation display as compared with no situation display. Team members discussed interventions more with the situation display compared with not having the situation display. Situational awareness was better with the situation display only in the trauma scenario. The situation display could be more effective for certain ED team members and in certain cases. Overall, this pilot study implies that a situation display could facilitate better teamwork and team communication in the resuscitation event. Copyright © 2017 Elsevier Inc. All rights reserved.

Big data in medical science--a biostatistical view.

PubMed

Binder, Harald; Blettner, Maria

2015-02-27

Inexpensive techniques for measurement and data storage now enable medical researchers to acquire far more data than can conveniently be analyzed by traditional methods. The expression "big data" refers to quantities on the order of magnitude of a terabyte (1012 bytes); special techniques must be used to evaluate such huge quantities of data in a scientifically meaningful way. Whether data sets of this size are useful and important is an open question that currently confronts medical science. In this article, we give illustrative examples of the use of analytical techniques for big data and discuss them in the light of a selective literature review. We point out some critical aspects that should be considered to avoid errors when large amounts of data are analyzed. Machine learning techniques enable the recognition of potentially relevant patterns. When such techniques are used, certain additional steps should be taken that are unnecessary in more traditional analyses; for example, patient characteristics should be differentially weighted. If this is not done as a preliminary step before similarity detection, which is a component of many data analysis operations, characteristics such as age or sex will be weighted no higher than any one out of 10 000 gene expression values. Experience from the analysis of conventional observational data sets can be called upon to draw conclusions about potential causal effects from big data sets. Big data techniques can be used, for example, to evaluate observational data derived from the routine care of entire populations, with clustering methods used to analyze therapeutically relevant patient subgroups. Such analyses can provide complementary information to clinical trials of the classic type. As big data analyses become more popular, various statistical techniques for causality analysis in observational data are becoming more widely available. This is likely to be of benefit to medical science, but specific adaptations will have to be made according to the requirements of the applications.

"Teamwork in hospitals": a quasi-experimental study protocol applying a human factors approach.

PubMed

Ballangrud, Randi; Husebø, Sissel Eikeland; Aase, Karina; Aaberg, Oddveig Reiersdal; Vifladt, Anne; Berg, Geir Vegard; Hall-Lord, Marie Louise

2017-01-01

Effective teamwork and sufficient communication are critical components essential to patient safety in today's specialized and complex healthcare services. Team training is important for an improved efficiency in inter-professional teamwork within hospitals, however the scientific rigor of studies must be strengthen and more research is required to compare studies across samples, settings and countries. The aims of the study are to translate and validate teamwork questionnaires and investigate healthcare personnel's perception of teamwork in hospitals (Part 1). Further to explore the impact of an inter-professional teamwork intervention in a surgical ward on structure, process and outcome (Part 2). To address the aims, a descriptive, and explorative design (Part 1), and a quasi-experimental interventional design will be applied (Part 2). The study will be carried out in five different hospitals (A-E) in three hospital trusts in Norway. Frontline healthcare personnel in Hospitals A and B, from both acute and non-acute departments, will be invited to respond to three Norwegian translated teamwork questionnaires (Part 1). An inter-professional teamwork intervention in line with the TeamSTEPPS recommend Model of Change will be implemented in a surgical ward at Hospital C. All physicians, registered nurses and assistant nurses in the intervention ward and two control wards (Hospitals D and E) will be invited to to survey their perception of teamwork, team decision making, safety culture and attitude towards teamwork before intervention and after six and 12 months. Adult patients admitted to the intervention surgical unit will be invited to survey their perception of quality of care during their hospital stay before intervention and after six and 12 month. Moreover, anonymous patient registry data from local registers and data from patients' medical records will be collected (Part 2). This study will help to understand the impact of an inter-professional teamwork intervention in a surgical ward and contribute to promote healthcare personnel's team competences with an opportunity to achieve changes in work processes and patient safety. Trial registration number (TRN) is ISRCTN13997367. The study was registered retrospectively with registration date 30.05.2017.

Hot Bodies 400 Corporation: A Simple Guide for Small Business Startups [and] Teamwork: Problems and Solutions Workbook. For What You Wear...or Wear Not! An ICA Publication in Business and Behavioral Science.

ERIC Educational Resources Information Center

Bonilla, Carlos A., Ed.; Righetti, Candace S., Ed.

Many cooperative learning programs are merely exhibitions of the willingness to work with others. They apply teams of people to do work that could be accomplished just as well by individuals. Successful programs focus on collaborative learning that fosters working together to solve problems beyond the capacity of any individual. A cooperative…

NASA team hosts STEM-Ulate actvities

NASA Image and Video Library

2010-07-13

Young visitors to NASA's John C. Stennis Space Center prepare to launch 'stomp rockets' during STEM-Ulate to Innovate activities at the facility July 13. The NASA Foundations of Influence, Relationships, Success and Teamwork (FIRST) Team sponsored STEM-Ulate to Innovate for more than 100 children ages 9-11. Children from area Boys & Girls Clubs participated in hands-on activities, presentations and demonstrations by professional engineers, all designed to promote the relevance of science, technology, engineering and mathematics (STEM).

Development and Validation of an Instrument for Measuring the Quality of Teamwork in Teaching Teams in Postgraduate Medical Training (TeamQ)

PubMed Central

Slootweg, Irene A.; Lombarts, Kiki M. J. M. H.; Boerebach, Benjamin C. M.; Heineman, Maas Jan; Scherpbier, Albert J. J. A.; van der Vleuten, Cees P. M.

2014-01-01

Background Teamwork between clinical teachers is a challenge in postgraduate medical training. Although there are several instruments available for measuring teamwork in health care, none of them are appropriate for teaching teams. The aim of this study is to develop an instrument (TeamQ) for measuring teamwork, to investigate its psychometric properties and to explore how clinical teachers assess their teamwork. Method To select the items to be included in the TeamQ questionnaire, we conducted a content validation in 2011, using a Delphi procedure in which 40 experts were invited. Next, for pilot testing the preliminary tool, 1446 clinical teachers from 116 teaching teams were requested to complete the TeamQ questionnaire. For data analyses we used statistical strategies: principal component analysis, internal consistency reliability coefficient, and the number of evaluations needed to obtain reliable estimates. Lastly, the median TeamQ scores were calculated for teams to explore the levels of teamwork. Results In total, 31 experts participated in the Delphi study. In total, 114 teams participated in the TeamQ pilot. The median team response was 7 evaluations per team. The principal component analysis revealed 11 factors; 8 were included. The reliability coefficients of the TeamQ scales ranged from 0.75 to 0.93. The generalizability analysis revealed that 5 to 7 evaluations were needed to obtain internal reliability coefficients of 0.70. In terms of teamwork, the clinical teachers scored residents' empowerment as the highest TeamQ scale and feedback culture as the area that would most benefit from improvement. Conclusions This study provides initial evidence of the validity of an instrument for measuring teamwork in teaching teams. The high response rates and the low number of evaluations needed for reliably measuring teamwork indicate that TeamQ is feasible for use by teaching teams. Future research could explore the effectiveness of feedback on teamwork in follow up measurements. PMID:25393006

Assessing teamwork performance in obstetrics: A systematic search and review of validated tools.

PubMed

Fransen, Annemarie F; de Boer, Liza; Kienhorst, Dieneke; Truijens, Sophie E; van Runnard Heimel, Pieter J; Oei, S Guid

2017-09-01

Teamwork performance is an essential component for the clinical efficiency of multi-professional teams in obstetric care. As patient safety is related to teamwork performance, it has become an important learning goal in simulation-based education. In order to improve teamwork performance, reliable assessment tools are required. These can be used to provide feedback during training courses, or to compare learning effects between different types of training courses. The aim of the current study is to (1) identify the available assessment tools to evaluate obstetric teamwork performance in a simulated environment, and (2) evaluate their psychometric properties in order to identify the most valuable tool(s) to use. We performed a systematic search in PubMed, MEDLINE, and EMBASE to identify articles describing assessment tools for the evaluation of obstetric teamwork performance in a simulated environment. In order to evaluate the quality of the identified assessment tools the standards and grading rules have been applied as recommended by the Accreditation Council for Graduate Medical Education (ACGME) Committee on Educational Outcomes. The included studies were also assessed according to the Oxford Centre for Evidence Based Medicine (OCEBM) levels of evidence. This search resulted in the inclusion of five articles describing the following six tools: Clinical Teamwork Scale, Human Factors Rating Scale, Global Rating Scale, Assessment of Obstetric Team Performance, Global Assessment of Obstetric Team Performance, and the Teamwork Measurement Tool. Based on the ACGME guidelines we assigned a Class 3, level C of evidence, to all tools. Regarding the OCEBM levels of evidence, a level 3b was assigned to two studies and a level 4 to four studies. The Clinical Teamwork Scale demonstrated the most comprehensive validation, and the Teamwork Measurement Tool demonstrated promising results, however it is recommended to further investigate its reliability. Copyright © 2017. Published by Elsevier B.V.

Development and validation of an instrument for measuring the quality of teamwork in teaching teams in postgraduate medical training (TeamQ).

PubMed

Slootweg, Irene A; Lombarts, Kiki M J M H; Boerebach, Benjamin C M; Heineman, Maas Jan; Scherpbier, Albert J J A; van der Vleuten, Cees P M

2014-01-01

Teamwork between clinical teachers is a challenge in postgraduate medical training. Although there are several instruments available for measuring teamwork in health care, none of them are appropriate for teaching teams. The aim of this study is to develop an instrument (TeamQ) for measuring teamwork, to investigate its psychometric properties and to explore how clinical teachers assess their teamwork. To select the items to be included in the TeamQ questionnaire, we conducted a content validation in 2011, using a Delphi procedure in which 40 experts were invited. Next, for pilot testing the preliminary tool, 1446 clinical teachers from 116 teaching teams were requested to complete the TeamQ questionnaire. For data analyses we used statistical strategies: principal component analysis, internal consistency reliability coefficient, and the number of evaluations needed to obtain reliable estimates. Lastly, the median TeamQ scores were calculated for teams to explore the levels of teamwork. In total, 31 experts participated in the Delphi study. In total, 114 teams participated in the TeamQ pilot. The median team response was 7 evaluations per team. The principal component analysis revealed 11 factors; 8 were included. The reliability coefficients of the TeamQ scales ranged from 0.75 to 0.93. The generalizability analysis revealed that 5 to 7 evaluations were needed to obtain internal reliability coefficients of 0.70. In terms of teamwork, the clinical teachers scored residents' empowerment as the highest TeamQ scale and feedback culture as the area that would most benefit from improvement. This study provides initial evidence of the validity of an instrument for measuring teamwork in teaching teams. The high response rates and the low number of evaluations needed for reliably measuring teamwork indicate that TeamQ is feasible for use by teaching teams. Future research could explore the effectiveness of feedback on teamwork in follow up measurements.

Nurse Practitioner Autonomy and Relationships with Leadership Affect Teamwork in Primary Care Practices: a Cross-Sectional Survey.

PubMed

Poghosyan, Lusine; Liu, Jianfang

2016-07-01

The Nurse Practitioner (NP) workforce represents a substantial supply of primary care providers able to contribute to meeting a growing demand for care. However, controversy exists regarding the expanding role of NPs in primary care in terms of challenging the teamwork between NPs and physicians. To date, no empirical evidence exists regarding how to promote teamwork in primary care between NPs and physicians. We investigated whether NP autonomy within primary care practices and the relationships they have with leadership affect teamwork between NPs and physicians. Using a cross-sectional survey design, data was collected from 163 primary care practices in Massachusetts. Three hundred and fourteen primary care NPs completed and returned the mail survey yielding a response rate of 40 %. The Autonomy and Independent Practice (AIP) and NP-Administration Relations (NP-AR) scales were used to measure NP independent practice and the relationships with leadership, respectively. These measures were aggregated to the practice level. Teamwork between NPs and physicians was measured at the individual NP level using the Teamwork (TW) scale. The multilevel linear regression models investigated the influence of practice-level NP autonomy and the relationship between NPs and leadership on teamwork. With every unit increase on the practice-level mean score of AIP centered at the grand mean, the mean TW score increased by 0.271 units (p < 0.0001). With every unit increase of NP-AR centered at the grand mean, the mean TW score increased by 0.375 (p < 0.001). Over one-third (41.3 %) of the variance in teamwork could be explained by the final model. The study findings demonstrate that NP autonomy and favorable relationships with leadership improve teamwork. Policy and organizational change should focus on promoting NP autonomy and improving the relationship between NPs and leadership to improve teamwork and consequently improve patient care and outcomes.

Relationship Between Operating Room Teamwork, Contextual Factors, and Safety Checklist Performance.

PubMed

Singer, Sara J; Molina, George; Li, Zhonghe; Jiang, Wei; Nurudeen, Suliat; Kite, Julia G; Edmondson, Lizabeth; Foster, Richard; Haynes, Alex B; Berry, William R

2016-10-01

Studies show that using surgical safety checklists (SSCs) reduces complications. Many believe SSCs accomplish this by enhancing teamwork, but evidence is limited. Our study sought to relate teamwork to checklist performance, understand how they relate, and determine conditions that affect this relationship. Using 2 validated tools for observing and coaching operating room teams, we evaluated the association between checklist performance with surgeon buy-in and 4 domains of surgical teamwork: clinical leadership, communication, coordination, and respect. Hospital staff in 10 South Carolina hospitals observed 207 procedures between April 2011 and January 2013. We calculated levels of checklist performance, buy-in, and measures of teamwork, and evaluated their relationship, controlling for patient and case characteristics. Few teams completed most or all SSC items. Teams more often completed items considered procedural "checks" than conversation "prompts." Surgeon buy-in, clinical leadership, communication, a summary measure of teamwork overall, and observers' teamwork ratings positively related to overall checklist completion (multivariable model estimates from 0.04, p < 0.05 for communication to 0.17, p < 0.01 for surgeon buy-in). All measures of teamwork and surgeon buy-in related positively to completing more conversation prompts; none related significantly to procedural checks (estimates from 0.10, p < 0.01 for communication to 0.27, p < 0.001 for surgeon buy-in). Patient age was significantly associated with completing the checklist and prompts (p < 0.05); only case duration was positively associated with performing more checks (p < 0.10). Surgeon buy-in and surgical teamwork characterized by shared clinical leadership, open communication, active coordination, and mutual respect were critical in prompting case-related conversations, but not in completing procedural checks. Findings highlight the importance of surgeon engagement and high-quality, consistent teamwork for promoting checklist use and ensuring a safe surgical environment. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Exploiting big data for critical care research.

PubMed

Docherty, Annemarie B; Lone, Nazir I

2015-10-01

Over recent years the digitalization, collection and storage of vast quantities of data, in combination with advances in data science, has opened up a new era of big data. In this review, we define big data, identify examples of critical care research using big data, discuss the limitations and ethical concerns of using these large datasets and finally consider scope for future research. Big data refers to datasets whose size, complexity and dynamic nature are beyond the scope of traditional data collection and analysis methods. The potential benefits to critical care are significant, with faster progress in improving health and better value for money. Although not replacing clinical trials, big data can improve their design and advance the field of precision medicine. However, there are limitations to analysing big data using observational methods. In addition, there are ethical concerns regarding maintaining confidentiality of patients who contribute to these datasets. Big data have the potential to improve medical care and reduce costs, both by individualizing medicine, and bringing together multiple sources of data about individual patients. As big data become increasingly mainstream, it will be important to maintain public confidence by safeguarding data security, governance and confidentiality.

Use of a metadata documentation and search tool for large data volumes: The NGEE arctic example

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

Devarakonda, Ranjeet; Hook, Leslie A; Killeffer, Terri S

The Online Metadata Editor (OME) is a web-based tool to help document scientific data in a well-structured, popular scientific metadata format. In this paper, we will discuss the newest tool that Oak Ridge National Laboratory (ORNL) has developed to generate, edit, and manage metadata and how it is helping data-intensive science centers and projects, such as the U.S. Department of Energy s Next Generation Ecosystem Experiments (NGEE) in the Arctic to prepare metadata and make their big data produce big science and lead to new discoveries.

Did God create our universe? Theological reflections on the Big Bang, inflation, and quantum cosmologies.

PubMed

Russell, R J

2001-12-01

The sciences and the humanities, including theology, form an epistemic hierarchy that ensures both constraint and irreducibility. At the same time, theological methodology is analogous to scientific methodology, though with several important differences. This model of interaction between science and theology can be seen illustrated in a consideration of the relation between contemporary cosmology (Big Bang cosmology, cosmic inflation, and quantum cosmology) and Christian systematic and natural theology. In light of developments in cosmology, the question of origins has become theologically less interesting than that of the cosmic evolution of a contingent universe.

Manufacturing and certification of a diffraction corrector for controlling the surface shape of the six-meter main mirror of the Big Azimuthal Telescope of the Russian Academy of Sciences

NASA Astrophysics Data System (ADS)

Nasyrov, R. K.; Poleshchuk, A. G.

2017-09-01

This paper describes the development and manufacture of diffraction corrector and imitator for the interferometric control of the surface shape of the 6-m main mirror of the Big Azimuthal Telescope of the Russian Academy of Sciences. The effect of errors in manufacture and adjustment on the quality of the measurement wavefront is studied. The corrector is controlled with the use of an off-axis diffraction imitator operating in a reflection mode. The measured error is smaller than 0.0138λ (RMS).

Nursing teamwork in a health system: A multisite study.

PubMed

Kaiser, Jennifer A; Westers, Judith B

2018-01-16

The aim of this study was to examine how the facets of teamwork exist among nurse-only teams in acute and continuing care settings. The health care 'team' conventionally describes the interdisciplinary team in both literature and practice. Nursing-specific teams are rarely considered in the literature. An examination of this specific professional cohort is important to understand how teamwork exists among those who provide the majority of patient care. This was a descriptive, comparative, cross-sectional study using the Nursing Teamwork Survey to measure teamwork of nursing-based teams among 1414 participants in multiple acute care environments across a large Midwestern health system. The characteristics of nursing teams were analysed. The results from the subscales within the teamwork model showed that nursing teams had a good understanding of the various roles and responsibilities. However, nurse team members held a more individualistic rather than collective team-oriented mindset. Increased teamwork has a positive effect on job satisfaction, staffing efficiencies, retention and care delivery. Nurse leaders can use the information provided in this study to target the aspects of highly functioning teams by improving team orientation, trust and backup behaviours. © 2018 John Wiley & Sons Ltd.

The psychometric testing of the Nursing Teamwork Survey in Iceland.

PubMed

Bragadóttir, Helga; Kalisch, Beatrice J; Smáradóttir, Sigríður Bríet; Jónsdóttir, Heiður Hrund

2016-06-01

The purpose of this study was to test the psychometric properties of the Nursing Teamwork Survey-Icelandic (NTS-Icelandic), which was translated from US English to Icelandic. The Nursing Teamwork Survey, with 33 items, measures overall teamwork and five factors of teamwork: trust, team orientation, backup, shared mental models, and team leadership. The psychometric testing of the NTS-Icelandic was carried out on data from a pilot study and a national study. The sample for a pilot study included 123 nursing staff from five units, and the sample for a national study included 925 nursing staff from 27 inpatient units. The overall test-retest intraclass correlation coefficient in the pilot study was 0.693 (lower bound = 0.498, upper bound = 0.821) (p < 0.001). The Cronbach's alpha reliability for the total scale and subscales ranged from 0.737 to 0.911. A confirmatory factor analysis indicated a good fit of the data from the national study with the five-factor model for nursing teamwork. The NTS-Icelandic tested valid and reliable in this study. Study findings support further use of the Nursing Teamwork Survey internationally. © 2016 John Wiley & Sons Australia, Ltd.

Big questions, big science: meeting the challenges of global ecology.

PubMed

Schimel, David; Keller, Michael

2015-04-01

Ecologists are increasingly tackling questions that require significant infrastucture, large experiments, networks of observations, and complex data and computation. Key hypotheses in ecology increasingly require more investment, and larger data sets to be tested than can be collected by a single investigator's or s group of investigator's labs, sustained for longer than a typical grant. Large-scale projects are expensive, so their scientific return on the investment has to justify the opportunity cost-the science foregone because resources were expended on a large project rather than supporting a number of individual projects. In addition, their management must be accountable and efficient in the use of significant resources, requiring the use of formal systems engineering and project management to mitigate risk of failure. Mapping the scientific method into formal project management requires both scientists able to work in the context, and a project implementation team sensitive to the unique requirements of ecology. Sponsoring agencies, under pressure from external and internal forces, experience many pressures that push them towards counterproductive project management but a scientific community aware and experienced in large project science can mitigate these tendencies. For big ecology to result in great science, ecologists must become informed, aware and engaged in the advocacy and governance of large ecological projects.

Ten Teamwork Terminators and Some Sure Cures.

ERIC Educational Resources Information Center

Child Care Information Exchange, 1992

1992-01-01

This article describes 10 behaviors of day care center directors that undermine the team performance of the caregiving staff. Also described are three behaviors that are crucial to fostering successful teamwork. A day care center teamwork evaluation form for staff is provided. (BC)

Entrenched Compartmentalisation and Students' Abilities and Levels of Interest in Science

ERIC Educational Resources Information Center

Billingsley, Berry; Nassaji, Mehdi; Abedin, Manzoorul

2017-01-01

This article explores the notion that asking and exploring so-called "big questions" could potentially increase the diversity and number of students who aspire to work in science and science-related careers. The focus is the premise that girls are more interested than boys in the relationships between science and other disciplines. The…

The Big Picture: Pre-Service Teachers' Perceptions of "Expert" Science Teachers

ERIC Educational Resources Information Center

McKinnon, Merryn; Perara, Sean

2015-01-01

This study adapted the Draw-A-Science-Teacher Test to compare 22 pre-service teachers' perceptions of their own strengths as science teachers against their perceived strengths of expert science teachers. The drawings identified a disconnection between theory and practice that we revisit in the literature. Our findings from this pilot study are…

Motivation of synthesis, with an example on groundwater quality sustainability

NASA Astrophysics Data System (ADS)

Fogg, G. E.; Labolle, E. M.

2007-12-01

Synthesis of ideas and theories from disparate disciplines is necessary for addressing the major problems faced by society. Such integration happens neither via edict nor via lofty declarations of what is needed or what is best. It happens mainly through two mechanisms: limited scope collaborations (e.g., ~2-3 investigators) in which the researchers believe deeply in their need for each other's expertise and much larger scope collaborations driven by the 'big idea.' Perhaps the strongest motivation for broad, effective synthesis is the 'big idea' that is sufficiently important and inspiring to marshal the appropriate collaborative efforts. Examples include the Manhattan Project, the quest for cancer cures, predicting effects of climate change, and groundwater quality sustainability. The latter is posed as an example of a 'big idea' that would potentially unify research efforts in both the sciences and social sciences toward a common, pressing objective.

How Differences Between Manager and Clinician Perceptions of Safety Culture Impact Hospital Processes of Care.

PubMed

Richter, Jason; Mazurenko, Olena; Kazley, Abby Swanson; Ford, Eric W

2017-11-04

Evidenced-based processes of care improve patient outcomes, yet universal compliance is lacking, and perceptions of the quality of care are highly variable. The purpose of this study is to examine how differences in clinician and management perceptions on teamwork and communication relate to adherence to hospital processes of care. Hospitals submitted identifiable data for the 2012 Hospital Survey on Patient Safety Culture and the Centers for Medicare and Medicaid Services' Hospital Compare. The dependent variable was a composite, developed from the scores on adherence to acute myocardial infarction, heart failure, and pneumonia process of care measures. The primary independent variables reflected 4 safety culture domains: communication openness, feedback about errors, teamwork within units, and teamwork between units. We assigned each hospital into one of 4 groups based on agreement between managers and clinicians on each domain. Each hospital was categorized as "high" (above the median) or "low" (below) for clinicians and managers in communication and teamwork. We found a positive relationship between perceived teamwork and communication climate and processes of care measures. If managers and clinicians perceived the communication openness as high, the hospital was more likely to adhere with processes of care. Similarly, if clinicians perceived teamwork across units as high, the hospital was more likely to adhere to processes of care. Manager and staff perceptions about teamwork and communications impact adherence to processes of care. Policies should recognize the importance of perceptions of both clinicians and managers on teamwork and communication and seek to improve organizational climate and practices. Clinician perceptions of teamwork across units are more closely linked to processes of care, so managers should be cognizant and try to improve their perceptions.

Use of high fidelity operating room simulation to assess and teach communication, teamwork and laparoscopic skills: initial experience.

PubMed

Gettman, Matthew T; Pereira, Claudio W; Lipsky, Katja; Wilson, Torrence; Arnold, Jacqueline J; Leibovich, Bradley C; Karnes, R Jeffrey; Dong, Yue

2009-03-01

Structured opportunities for learning communication, teamwork and laparoscopic principles are limited for urology residents. We evaluated and taught teamwork, communication and laparoscopic skills to urology residents in a simulated operating room. Scenarios related to laparoscopy (insufflator failure, carbon dioxide embolism) were developed using mannequins, urology residents and nurses. These scenarios were developed based on Accreditation Council for Graduate Medical Education core competencies and performed in a simulation center. Between the pretest scenario (insufflation failure) and the posttest scenario (carbon dioxide embolism) instruction was given on teamwork, communication and laparoscopic skills. A total of 19 urology residents participated in the training that involved participation in at least 2 scenarios. Performance was evaluated using validated teamwork instruments, questionnaires and videotape analysis. Significant improvement was noted on validated teamwork instruments between scenarios based on resident (pretest 24, posttest 27, p = 0.01) and expert (pretest 16, posttest 25, p = 0.008) evaluation. Increased teamwork and team performance were also noted between scenarios on videotape analysis with significant improvement for adherence to best practice (p = 0.01) and maintenance of positive rapport among team members (p = 0.02). Significant improvement in the setup of the laparoscopic procedure was observed (p = 0.01). Favorable face and content validity was noted for both scenarios. Teamwork, intraoperative communication and laparoscopic skills of urology residents improved during the high fidelity simulation course. Face and content validity of the individual sessions was favorable. In this study high fidelity simulation was effective for assessing and teaching Accreditation Council for Graduate Medical Education core competencies related to intraoperative communication, teamwork and laparoscopic skills.

Teamwork skills in actual, in situ, and in-center pediatric emergencies: performance levels across settings and perceptions of comparative educational impact.

PubMed

Couto, Thomaz Bittencourt; Kerrey, Benjamin T; Taylor, Regina G; FitzGerald, Michael; Geis, Gary L

2015-04-01

Pediatric emergencies require effective teamwork. These skills are developed and demonstrated in actual emergencies and in simulated environments, including simulation centers (in center) and the real care environment (in situ). Our aims were to compare teamwork performance across these settings and to identify perceived educational strengths and weaknesses between simulated settings. We hypothesized that teamwork performance in actual emergencies and in situ simulations would be higher than for in-center simulations. A retrospective, video-based assessment of teamwork was performed in an academic, pediatric level 1 trauma center, using the Team Emergency Assessment Measure (TEAM) tool (range, 0-44) among emergency department providers (physicians, nurses, respiratory therapists, paramedics, patient care assistants, and pharmacists). A survey-based, cross-sectional assessment was conducted to determine provider perceptions regarding simulation training. One hundred thirty-two videos, 44 from each setting, were reviewed. Mean total TEAM scores were similar and high in all settings (31.2 actual, 31.1 in situ, and 32.3 in-center, P = 0.39). Of 236 providers, 154 (65%) responded to the survey. For teamwork training, in situ simulation was considered more realistic (59% vs. 10%) and more effective (45% vs. 15%) than in-center simulation. In a video-based study in an academic pediatric institution, ratings of teamwork were relatively high among actual resuscitations and 2 simulation settings, substantiating the influence of simulation-based training on instilling a culture of communication and teamwork. On the basis of survey results, providers favored the in situ setting for teamwork training and suggested an expansion of our existing in situ program.

Bringing the Tools of Big Science to Bear on Local Environmental Challenges

ERIC Educational Resources Information Center

Bronson, Scott; Jones, Keith W.; Brown, Maria

2013-01-01

We describe an interactive collaborative environmental education project that makes advanced laboratory facilities at Brookhaven National Laboratory accessible for one-year or multi-year science projects for the high school level. Cyber-enabled Environmental Science (CEES) utilizes web conferencing software to bring multi-disciplinary,…

Reflections on the Use of Tablet Technology

ERIC Educational Resources Information Center

Wise, Nicki; McGregor, Deb; Bird, James

2015-01-01

This article describes a recent Oxfordshire Big Science Event (BSE), which was combined with Science Week in Bure Park Primary School and involved a competition in which primary school children throughout Oxfordshire devised, carried out, and recorded data from science investigations to answer questions that interested them. Teams of children…

NASA EOSDIS Evolution in the BigData Era

NASA Technical Reports Server (NTRS)

Lynnes, Christopher

2015-01-01

NASA's EOSDIS system faces several challenges in the Big Data Era. Although volumes are large (but not unmanageably so), the variety of different data collections is daunting. That variety also brings with it a large and diverse user community. One key evolution EOSDIS is working toward is to enable more science analysis to be performed close to the data.

What's in a Relationship? An Examination of Social Capital, Race and Class in Mentoring Relationships

ERIC Educational Resources Information Center

Gaddis, S. Michael

2012-01-01

After 25 years of intense scrutiny, social capital remains an important yet highly debated concept in social science research. This research uses data from youth and mentors in several chapters of Big Brothers/Big Sisters to assess the importance of different mentoring relationship characteristics in creating positive outcomes among youths. The…

Air Toxics under the Big Sky: A Real-World Investigation to Engage High School Science Students

ERIC Educational Resources Information Center

Adams, Earle; Smith, Garon; Ward, Tony J.; Vanek, Diana; Marra, Nancy; Jones, David; Henthorn, Melissa; Striebel, Jim

2008-01-01

This paper describes a problem-based chemistry education model in which students perform scientific research on a local environmentally relevant problem. The project is a collaboration among The University of Montana and local high schools centered around Missoula, Montana. "Air Toxics under the Big Sky" involves high school students in collecting…

Close Encounters of the Best Kind: The Latest Sci-Fi

ERIC Educational Resources Information Center

Kunzel, Bonnie

2008-01-01

Not only is science fiction alive and well--it's flourishing. From the big screen (howdy, Wall-E) to the big books (like Suzanne Collins's The Hunger Games, which has attracted loads of prepublication praise), 2008 has been a great year for sci-fi. Publishers have released truckloads of new sci-fi titles this year, but what's particularly…

Small Core, Big Network: A Comprehensive Approach to GIS Teaching Practice Based on Digital Three-Dimensional Campus Reconstruction

ERIC Educational Resources Information Center

Cheng, Liang; Zhang, Wen; Wang, Jiechen; Li, Manchun; Zhong, Lishan

2014-01-01

Geographic information science (GIS) features a wide range of disciplines and has broad applicability. Challenges associated with rapidly developing GIS technology and the currently limited teaching and practice materials hinder universities from cultivating highly skilled GIS graduates. Based on the idea of "small core, big network," a…

429th Brookhaven Lecture

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

Robert P. Crease

2007-10-31

Robert P. Crease, historian for Brookhaven National Laboratory and Chair of the Philosophy Department at Stony Brook University, presents "How Big Science Came to Long Island: The Birth of Brookhaven Lab," covering the founding of the Laboratory, the key figures involved in starting BNL, and the many problems that had to be overcome in creating and designing its first big machines.

429th Brookhaven Lecture

ScienceCinema

Robert P. Crease

2017-12-09

Robert P. Crease, historian for Brookhaven National Laboratory and Chair of the Philosophy Department at Stony Brook University, presents "How Big Science Came to Long Island: The Birth of Brookhaven Lab," covering the founding of the Laboratory, the key figures involved in starting BNL, and the many problems that had to be overcome in creating and designing its first big machines.

Big Data, Big Problems: A Healthcare Perspective.

PubMed

Househ, Mowafa S; Aldosari, Bakheet; Alanazi, Abdullah; Kushniruk, Andre W; Borycki, Elizabeth M

2017-01-01

Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the "Holy Grail" for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers. In this paper, we review the current Big Data trends with a specific focus on the inadvertent negative impacts that Big Data could have on healthcare, in general, and specifically, as it relates to patient and clinical care. Our study results show that although Big Data is built up to be as a the "Holy Grail" for healthcare, small data techniques using traditional statistical methods are, in many cases, more accurate and can lead to more improved healthcare outcomes than Big Data methods. In sum, Big Data for healthcare may cause more problems for the healthcare industry than solutions, and in short, when it comes to the use of data in healthcare, "size isn't everything."

Moving toward Teamwork through Professional Development Activities

ERIC Educational Resources Information Center

Fitzgerald, Meghan M.; Theilheimer, Rachel

2013-01-01

This qualitative study of three Head Start Centers analyzed surveys, interviews, and focus group data to determine how education coordinators, teachers, and teacher assistants believed professional development activities could support teamwork at their centers. The researchers sorted data related to teamwork into four categories: knowledge and…

Managing emergencies and abnormal situations in air traffic control (part II): teamwork strategies.

PubMed

Malakis, Stathis; Kontogiannis, Tom; Kirwan, Barry

2010-07-01

Team performance has been studied in many safety-critical organizations including aviation, nuclear power plant, offshore oil platforms and health organizations. This study looks into teamwork strategies that air traffic controllers employ to manage emergencies and abnormal situations. Two field studies were carried out in the form of observations of simulator training in emergency and unusual scenarios of novices and experienced controllers. Teamwork strategies covered aspects of team orientation and coordination, information exchange, change management and error handling. Several performance metrics were used to rate the efficiency of teamwork and test the construct validity of a prototype model of teamwork. This is a companion study to an earlier investigation of taskwork strategies in the same field (part I) and contributes to the development of a generic model for Taskwork and Teamwork strategies in Emergencies in Air traffic Management (T(2)EAM). Suggestions are made on how to use T(2)EAM to develop training programs, assess team performance and improve mishap investigations. Copyright 2010 Elsevier Ltd. All rights reserved.

Introducing the individual Teamwork Observation and Feedback Tool (iTOFT): Development and description of a new interprofessional teamwork measure.

PubMed

Thistlethwaite, Jill; Dallest, Kathy; Moran, Monica; Dunston, Roger; Roberts, Chris; Eley, Diann; Bogossian, Fiona; Forman, Dawn; Bainbridge, Lesley; Drynan, Donna; Fyfe, Sue

2016-07-01

The individual Teamwork Observation and Feedback Tool (iTOFT) was devised by a consortium of seven universities in recognition of the need for a means of observing and giving feedback to individual learners undertaking an interprofessional teamwork task. It was developed through a literature review of the existing teamwork assessment tools, a discussion of accreditation standards for the health professions, Delphi consultation and field-testing with an emphasis on its feasibility and acceptability for formative assessment. There are two versions: the Basic tool is for use with students who have little clinical teamwork experience and lists 11 observable behaviours under two headings: 'shared decision making' and 'working in a team'. The Advanced version is for senior students and junior health professionals and has 10 observable behaviours under four headings: 'shared decision making', 'working in a team', 'leadership', and 'patient safety'. Both versions include a comprehensive scale and item descriptors. Further testing is required to focus on its validity and educational impact.

Emergency Manuals: How Quality Improvement and Implementation Science Can Enable Better Perioperative Management During Crises.

PubMed

Goldhaber-Fiebert, Sara N; Macrae, Carl

2018-03-01

How can teams manage critical events more effectively? There are commonly gaps in performance during perioperative crises, and emergency manuals are recently available tools that can improve team performance under stress, via multiple mechanisms. This article examines how the principles of implementation science and quality improvement were applied by multiple teams in the development, testing, and systematic implementations of emergency manuals in perioperative care. The core principles of implementation have relevance for future patient safety innovations perioperatively and beyond, and the concepts of emergency manuals and interprofessional teamwork are applicable for diverse fields throughout health care. Copyright © 2017 Sara N. Goldhaber-Fiebert, Carl Macrae. Published by Elsevier Inc. All rights reserved.

Visions 2025 and Linkage to NEXT

NASA Technical Reports Server (NTRS)

Wiscombe, W.; Lau, William K. M. (Technical Monitor)

2002-01-01

This talk will describe the progress to date on creating a science-driven vision for the NASA Earth Science Enterprise (ESE) in the post-2010 period. This effort began in the Fall of 2001 by organizing five science workgroups with representatives from NASA, academia and other agencies: Long-Term Climate, Medium-Term Climate, Extreme Weather, Biosphere & Ecosystems, and Solid Earth, Ice Sheets, & Sea Level. Each workgroup was directed to scope out one Big Question, including not just the science but the observational and modeling requirements, the information system requirements, and the applications and benefits to society. This first set of five Big Questions is now in hand and has been presented to the ESE Director. It includes: water resources, intraseasonal predictability, tropical cyclogenesis, invasive species, and sea level. Each of these topics will be discussed briefly. How this effort fits into the NEXT vision exercise and into Administrator O'Keefe's new vision for NASA will also be discussed.

The influence of teamwork culture on physician and nurse resignation rates in hospitals.

PubMed

Mohr, David C; Burgess, James F; Young, Gary J

2008-02-01

Employee turnover is a critical concern, particularly for hospitals, because they face a very tight labour market for hiring replacements, and high turnover itself may have substantial negative effects on the continuity and quality of patient care. Hospitals with a stronger teamwork culture may experience lower turnover but this has not been formally studied. Research on determinants of employee turnover has not separated out resignations from the larger, more inclusive definition of turnover that includes retirement. This study investigated the relationship between the teamwork culture of hospitals and physician and nurse resignation rates. The study setting was the Veterans Health Administration (VHA). Each hospital was assessed on teamwork culture based on a survey of current employees. Hospital-level resignation rates were obtained for physicians and nurses. Separate multivariate regression models on physicians and nurses were employed. The models included hospital-level characteristics and labour market variables. Analysis of covariance was also performed to attempt to further reveal effects in high versus low teamwork culture hospitals. Teamwork culture was negatively associated with nurse and physician resignation rates, but was statistically significant in the nurse resignation model only. Additional analyses indicated a 0.47 standard deviation (SD) difference in nurse resignation rates and a 0.40 SD difference in physician resignation rates between hospitals in the top and bottom quartiles of the distribution for teamwork culture. In conclusion, these results suggest that developing and emphasizing a teamwork culture may facilitate greater retention of health-care employees, especially nurses.

Team-based efforts to improve quality of care, the fundamental role of ethics, and the responsibility of health managers: monitoring and management strategies to enhance teamwork.

PubMed

Kossaify, A; Hleihel, W; Lahoud, J-C

2017-12-01

Highlight the importance of teamwork in health care institutions by performing a review and discussion of the relevant literature. Review paper. A MEDLINE/Pubmed search was performed starting from 1990, and the terms 'team, teamwork, managers, healthcare, and cooperation' were searched in titles, abstracts, keywords, and conclusions; other terms 'patient safety, ethics, audits and quality of care' were specifically searched in abstracts and were used as additional filters criteria to select relevant articles. Thirty-three papers were found relevant; factors affecting the quality of care in health care institutions are multiple and varied, including issues related to individual profile, to administrative structure and to team-based effort. Issues affecting teamwork include mainly self-awareness, work environment, leadership, ethics, cooperation, communication, and competition. Moreover, quality improvement plans aiming to enhance and expand teams are essential in this context. Team monitoring and management are vital to achieve efficient teamwork with all the required qualities for a safer health system. In all cases, health managers' responsibility plays a fundamental role in creating and sustaining a teamwork atmosphere. Teamwork is known to improve outcomes in medicine, whether at the clinical, organizational, or scientific level. Teamwork in health care institutions must increasingly be encouraged, given that individual effort is often insufficient for optimal clinical outcome. Copyright © 2017 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Students' understanding of teamwork and professional roles after interprofessional simulation-a qualitative analysis.

PubMed

Oxelmark, Lena; Nordahl Amorøe, Torben; Carlzon, Liisa; Rystedt, Hans

2017-01-01

This study explores how interprofessional simulation-based education (IPSE) can contribute to a change in students' understanding of teamwork and professional roles. A series of 1-day training sessions was arranged involving undergraduate nursing and medical students. Scenarios were designed for practicing teamwork principles and interprofessional communication skills by endorsing active participation by all team members. Four focus groups occurred 2-4 weeks after the training. Thematic analysis of the transcribed focus groups was applied, guided by questions on what changes in students' understanding of teamwork and professional roles were identified and how such changes had been achieved. The first question, aiming to identify changes in students' understanding of teamwork, resulted in three categories: realizing and embracing teamwork fundamentals, reconsidering professional roles, and achieving increased confidence. The second question, regarding how participation in IPSE could support the transformation of students' understanding of teamwork and of professional roles, embraced another three categories: feeling confident in the learning environment, embodying experiences, and obtaining an outside perspective. This study showed the potential of IPSE to transform students' understanding of others' professional roles and responsibilities. Students displayed extensive knowledge on fundamental teamwork principles and what these meant in the midst of participating in the scenarios. A critical prerequisite for the development of these new insights was to feel confident in the learning environment. The significance of how the environment was set up calls for further research on the design of IPSE in influencing role understanding and communicative skills in significant ways.

Crowd-Funded Micro-Grants for Genomics and “Big Data”: An Actionable Idea Connecting Small (Artisan) Science, Infrastructure Science, and Citizen Philanthropy

PubMed Central

Badr, Kamal F.; Dove, Edward S.; Endrenyi, Laszlo; Geraci, Christy Jo; Hotez, Peter J.; Milius, Djims; Neves-Pereira, Maria; Pang, Tikki; Rotimi, Charles N.; Sabra, Ramzi; Sarkissian, Christineh N.; Srivastava, Sanjeeva; Tims, Hesther; Zgheib, Nathalie K.; Kickbusch, Ilona

2013-01-01

Abstract Biomedical science in the 21st century is embedded in, and draws from, a digital commons and “Big Data” created by high-throughput Omics technologies such as genomics. Classic Edisonian metaphors of science and scientists (i.e., “the lone genius” or other narrow definitions of expertise) are ill equipped to harness the vast promises of the 21st century digital commons. Moreover, in medicine and life sciences, experts often under-appreciate the important contributions made by citizen scholars and lead users of innovations to design innovative products and co-create new knowledge. We believe there are a large number of users waiting to be mobilized so as to engage with Big Data as citizen scientists—only if some funding were available. Yet many of these scholars may not meet the meta-criteria used to judge expertise, such as a track record in obtaining large research grants or a traditional academic curriculum vitae. This innovation research article describes a novel idea and action framework: micro-grants, each worth $1000, for genomics and Big Data. Though a relatively small amount at first glance, this far exceeds the annual income of the “bottom one billion”—the 1.4 billion people living below the extreme poverty level defined by the World Bank ($1.25/day). We describe two types of micro-grants. Type 1 micro-grants can be awarded through established funding agencies and philanthropies that create micro-granting programs to fund a broad and highly diverse array of small artisan labs and citizen scholars to connect genomics and Big Data with new models of discovery such as open user innovation. Type 2 micro-grants can be funded by existing or new science observatories and citizen think tanks through crowd-funding mechanisms described herein. Type 2 micro-grants would also facilitate global health diplomacy by co-creating crowd-funded micro-granting programs across nation-states in regions facing political and financial instability, while sharing similar disease burdens, therapeutics, and diagnostic needs. We report the creation of ten Type 2 micro-grants for citizen science and artisan labs to be administered by the nonprofit Data-Enabled Life Sciences Alliance International (DELSA Global, Seattle). Our hope is that these micro-grants will spur novel forms of disruptive innovation and genomics translation by artisan scientists and citizen scholars alike. We conclude with a neglected voice from the global health frontlines, the American University of Iraq in Sulaimani, and suggest that many similar global regions are now poised for micro-grant enabled collective innovation to harness the 21st century digital commons. PMID:23574338

Crowd-funded micro-grants for genomics and "big data": an actionable idea connecting small (artisan) science, infrastructure science, and citizen philanthropy.

PubMed

Özdemir, Vural; Badr, Kamal F; Dove, Edward S; Endrenyi, Laszlo; Geraci, Christy Jo; Hotez, Peter J; Milius, Djims; Neves-Pereira, Maria; Pang, Tikki; Rotimi, Charles N; Sabra, Ramzi; Sarkissian, Christineh N; Srivastava, Sanjeeva; Tims, Hesther; Zgheib, Nathalie K; Kickbusch, Ilona

2013-04-01

Biomedical science in the 21(st) century is embedded in, and draws from, a digital commons and "Big Data" created by high-throughput Omics technologies such as genomics. Classic Edisonian metaphors of science and scientists (i.e., "the lone genius" or other narrow definitions of expertise) are ill equipped to harness the vast promises of the 21(st) century digital commons. Moreover, in medicine and life sciences, experts often under-appreciate the important contributions made by citizen scholars and lead users of innovations to design innovative products and co-create new knowledge. We believe there are a large number of users waiting to be mobilized so as to engage with Big Data as citizen scientists-only if some funding were available. Yet many of these scholars may not meet the meta-criteria used to judge expertise, such as a track record in obtaining large research grants or a traditional academic curriculum vitae. This innovation research article describes a novel idea and action framework: micro-grants, each worth $1000, for genomics and Big Data. Though a relatively small amount at first glance, this far exceeds the annual income of the "bottom one billion"-the 1.4 billion people living below the extreme poverty level defined by the World Bank ($1.25/day). We describe two types of micro-grants. Type 1 micro-grants can be awarded through established funding agencies and philanthropies that create micro-granting programs to fund a broad and highly diverse array of small artisan labs and citizen scholars to connect genomics and Big Data with new models of discovery such as open user innovation. Type 2 micro-grants can be funded by existing or new science observatories and citizen think tanks through crowd-funding mechanisms described herein. Type 2 micro-grants would also facilitate global health diplomacy by co-creating crowd-funded micro-granting programs across nation-states in regions facing political and financial instability, while sharing similar disease burdens, therapeutics, and diagnostic needs. We report the creation of ten Type 2 micro-grants for citizen science and artisan labs to be administered by the nonprofit Data-Enabled Life Sciences Alliance International (DELSA Global, Seattle). Our hope is that these micro-grants will spur novel forms of disruptive innovation and genomics translation by artisan scientists and citizen scholars alike. We conclude with a neglected voice from the global health frontlines, the American University of Iraq in Sulaimani, and suggest that many similar global regions are now poised for micro-grant enabled collective innovation to harness the 21(st) century digital commons.

Teamwork: Effectively Teaching an Employability Skill

ERIC Educational Resources Information Center

Riebe, Linda; Roepen, Dean; Santarelli, Bruno; Marchioro, Gary

2010-01-01

Purpose: The purpose of this paper is to present a case study on improvements to professional teaching practice within an undergraduate university business programme to more effectively teach an employability skill and enhance the student experience of teamwork. Design/methodology/approach: A three-phase approach to teaching teamwork was…

Accounting for Teamwork: A Critical Study of Group-Based Systems of Organizational Control.

ERIC Educational Resources Information Center

Ezzamel, Mahmoud; Willmott, Hugh

1998-01-01

Examines the role of accounting calculations in reorganizing manufacturing capabilities of a vertically integrated global retailing company. Introducing teamwork to replace line work extended traditional, hierarchical management control systems. Teamwork's self-managing demands contravened workers' established sense of self-identity as…

An Examination of Learning Formats on Interdisciplinary Teamwork Knowledge, Skills, and Dispositions

ERIC Educational Resources Information Center

Ivey, Carole K.; Reed, Evelyn

2011-01-01

Although interdisciplinary teamwork is a recommended practice and important for coordinated interdisciplinary programming in special education, there is limited research on pedagogical practices to prepare professionals to work together effectively. This study examined the effectiveness of a graduate interdisciplinary teamwork course taught…

The Big Splat, or How Our Moon Came to Be

NASA Astrophysics Data System (ADS)

MacKenzie, Dana

2003-03-01

The first popular book to explain the dramatic theory behind the Moon's genesis This lively science history relates one of the great recent breakthroughs in planetary astronomy-a successful theory of the birth of the Moon. Science journalist Dana Mackenzie traces the evolution of this theory, one little known outside the scientific community: a Mars-sized object collided with Earth some four billion years ago, and the remains of this colossal explosion-the Big Splat-came together to form the Moon. Beginning with notions of the Moon in ancient cosmologies, Mackenzie relates the fascinating history of lunar speculation, moving from Galileo and Kepler to George Darwin (son of Charles) and the Apollo astronauts, whose trips to the lunar surface helped solve one of the most enigmatic mysteries of the night sky: who hung the Moon? Dana Mackenzie (Santa Cruz, CA) is a freelance science journalist. His articles have appeared in such magazines as Science, Discover, American Scientist, The Sciences, and New Scientist.

Scientist-teacher collaboration: Integration of real data from a coastal wetland into a high school life science ecology-based research project

NASA Astrophysics Data System (ADS)

Hagan, Wendy L.

Project G.R.O.W. is an ecology-based research project developed for high school biology students. The curriculum was designed based on how students learn and awareness of the nature of science and scientific practices so that students would design and carry out scientific investigations using real data from a local coastal wetland. This was a scientist-teacher collaboration between a CSULB biologist and high school biology teacher. Prior to implementing the three-week research project, students had multiple opportunities to practice building requisite skills via 55 lessons focusing on the nature of science, scientific practices, technology, Common Core State Standards of reading, writing, listening and speaking, and Next Generation Science Standards. Project G.R.O.W. culminated with student generated research papers and oral presentations. Outcomes reveal students struggle with constructing explanations and the use of Excel to create meaningful graphs. They showed gains in data organization, analysis, teamwork and aspects of the nature of science.

The Interdisciplinarity of Collaborations in Cognitive Science.

PubMed

Bergmann, Till; Dale, Rick; Sattari, Negin; Heit, Evan; Bhat, Harish S

2017-07-01

We introduce a new metric for interdisciplinarity, based on co-author publication history. A published article that has co-authors with quite different publication histories can be deemed relatively "interdisciplinary," in that the article reflects a convergence of previous research in distinct sets of publication outlets. In recent work, we have shown that this interdisciplinarity metric can predict citations. Here, we show that the journal Cognitive Science tends to contain collaborations that are relatively high on this interdisciplinarity metric, at about the 80th percentile of all journals across both social and natural sciences. Following on Goldstone and Leydesdorff (2006), we describe how scientometric tools provide a valuable means of assessing the role of cognitive science in broader scientific work, and also as a tool to investigate teamwork and distributed cognition. We describe how data-driven metrics of this kind may facilitate this exploration without relying upon rapidly changing discipline and topic keywords associated with publications. Copyright © 2016 Cognitive Science Society, Inc.

Big Data: Next-Generation Machines for Big Science

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

Hack, James J.; Papka, Michael E.

Addressing the scientific grand challenges identified by the US Department of Energy’s (DOE’s) Office of Science’s programs alone demands a total leadership-class computing capability of 150 to 400 Pflops by the end of this decade. The successors to three of the DOE’s most powerful leadership-class machines are set to arrive in 2017 and 2018—the products of the Collaboration Oak Ridge Argonne Livermore (CORAL) initiative, a national laboratory–industry design/build approach to engineering nextgeneration petascale computers for grand challenge science. These mission-critical machines will enable discoveries in key scientific fields such as energy, biotechnology, nanotechnology, materials science, and high-performance computing, and servemore » as a milestone on the path to deploying exascale computing capabilities.« less

Applying science and mathematics to big data for smarter buildings.

PubMed

Lee, Young M; An, Lianjun; Liu, Fei; Horesh, Raya; Chae, Young Tae; Zhang, Rui

2013-08-01

Many buildings are now collecting a large amount of data on operations, energy consumption, and activities through systems such as a building management system (BMS), sensors, and meters (e.g., submeters and smart meters). However, the majority of data are not utilized and are thrown away. Science and mathematics can play an important role in utilizing these big data and accurately assessing how energy is consumed in buildings and what can be done to save energy, make buildings energy efficient, and reduce greenhouse gas (GHG) emissions. This paper discusses an analytical tool that has been developed to assist building owners, facility managers, operators, and tenants of buildings in assessing, benchmarking, diagnosing, tracking, forecasting, and simulating energy consumption in building portfolios. © 2013 New York Academy of Sciences.

Building effective critical care teams

PubMed Central

2011-01-01

Critical care is formulated and delivered by a team. Accordingly, behavioral scientific principles relevant to teams, namely psychological safety, transactive memory and leadership, apply to critical care teams. Two experts in behavioral sciences review the impact of psychological safety, transactive memory and leadership on medical team outcomes. A clinician then applies those principles to two routine critical care paradigms: daily rounds and resuscitations. Since critical care is a team endeavor, methods to maximize teamwork should be learned and mastered by critical care team members, and especially leaders. PMID:21884639

OSC in the 1970s: a springboard for a career in optical engineering

NASA Astrophysics Data System (ADS)

Harvey, James E.

2014-09-01

Anecdotes and recollections from a graduate student at the Optical Sciences Center (OSC) in the late 1960s and early 1970s. The early faculty of the OCS fostered an exciting environment where even graduate students served significant roles on major government research contracts. Teamwork and collaboration between research groups was often required to meet the contract goals. This unique learning experience at the OSC almost 50 years ago served as a springboard for a satisfying and rewarding career in Optical Engineering.

Teaching Teamwork to Public Relations Students: Does It Matter?

ERIC Educational Resources Information Center

Baker-Schena, Lori

2011-01-01

Purpose: The first purpose of this study was to determine the extent to which students in university capstone public relations classes who receive teamwork training demonstrate effective team behaviors, produce quality work, experience satisfaction in the teamwork process, and engender client satisfaction. The second purpose was to determine the…

Promoting Learning Skills through Teamwork Assessment and Self/Peer Evaluation in Higher Education

ERIC Educational Resources Information Center

Issa, Tomayess

2012-01-01

In the education sector, teamwork assessment and self/peer evaluation are widely applied in higher education nationally and internationally. This assessment is designed to encourage students to promote and improve their skills in teamwork, communication (writing, interpersonal interaction and cultural awareness, and presenting), critical and…

Teamwork Skills Assessment for Cooperative Learning

ERIC Educational Resources Information Center

Strom, Paris S.; Strom, Robert D.

2011-01-01

Teamwork skills are required at work, but teacher efforts in many countries to track achievement within this context have been hindered by lack of assessment tools and input from students. The Teamwork Skills Inventory relies on peer and self-evaluation to establish accountability, identify competencies, and detect learning needs. Twenty-five…

Collaborative Teamwork in Crossdisciplinarity

ERIC Educational Resources Information Center

Laberge, Renée-Pascale

2016-01-01

Polytechnique Montréal has integrated an approach of teamwork in its twelve engineering programs, in the bachelor's degree program since 2005. Students must take a compulsory 45 hours course on teamwork and are then accompanied with team coaching throughout the four years program, in all the engineering integration projects. These integration…

Teaching with and through Teams: Student-Written, Instructor-Facilitated Case Writing and the Signatory Code

ERIC Educational Resources Information Center

Bailey, James; Sass, Mary; Swiercz, Paul M.; Seal, Craig; Kayes, D. Christopher

2005-01-01

Modern organizations prize teamwork. Management schools have responded to this reality by integrating teamwork into the curriculum. Two important challenges associated with integrating teams in the management classroom include (a) designing teamwork assignments that achieve multiple, sophisticated learning outcomes and (b) instruction in, and…

Making Teamwork Work: Team Knowledge for Team Effectiveness.

PubMed

Guchait, Priyanko; Lei, Puiwa; Tews, Michael J

2016-01-01

This study examined the impact of two types of team knowledge on team effectiveness. The study assessed the impact of taskwork knowledge and teamwork knowledge on team satisfaction and performance. A longitudinal study was conducted with 27 service-management teams involving 178 students in a real-life restaurant setting. Teamwork knowledge was found to impact both team outcomes. Furthermore, team learning behavior was found to mediate the relationships between teamwork knowledge and team outcomes. Educators and managers should therefore ensure these types of knowledge are developed in teams along with learning behavior for maximum effectiveness.

Creating an environment for patient safety and teamwork training in the operating theatre: A quasi-experimental study.

PubMed

Wallin, Carl-Johan; Kalman, Sigridur; Sandelin, Annika; Färnert, May-Lena; Dahlstrand, Ursula; Jylli, Leena

2015-03-01

Positive safety and a teamwork climate in the training environment may be a precursor for successful teamwork training. This pilot project aimed to implement and test whether a new interdisciplinary and team-based approach would result in a positive training climate in the operating theatre. A 3-day educational module for training the complete surgical team of specialist nursing students and residents in safe teamwork skills in an authentic operative theatre, named Co-Op, was implemented in a university hospital. Participants' (n=22) perceptions of the 'safety climate' and the 'teamwork climate', together with their 'readiness for inter-professional learning', were measured to examine if the Co-Op module produced a positive training environment compared with the perceptions of a control group (n=11) attending the conventional curriculum. The participants' perceptions of 'safety climate' and 'teamwork climate' and their 'readiness for inter-professional learning' scores were significantly higher following the Co-Op module compared with their perceptions following the conventional curriculum, and compared with the control group's perceptions following the conventional curriculum. The Co-Op module improved 'safety climate' and 'teamwork climate' in the operating theatre, which suggests that a deliberate and designed educational intervention can shape a learning environment as a model for the establishment of a safety culture.

Boundary spanning by nurse managers: effects of managers' characteristics and scope of responsibility on teamwork.

PubMed

Meyer, Raquel M; O'Brien-Pallas, Linda; Doran, Diane; Streiner, David; Ferguson-Paré, Mary; Duffield, Christine

2014-06-01

Increasing role complexity has intensified the work of managers in supporting healthcare teams. This study examined the influence of front-line managers' characteristics and scope of responsibility on teamwork. Scope of responsibility considers the breadth of the manager's role. A descriptive, correlational design was used to collect cross-sectional survey and administrative data in four acute care hospitals. A convenience sample of 754 staff completed the Relational Coordination Scale as a measure of teamwork that focuses on the quality of communication and relationships. Nurses (73.9%), allied health professionals (14.7%) and unregulated staff (11.7%) worked in 54 clinical areas, clustered under 30 front-line managers. Data were analyzed using hierarchical linear modelling. Leadership practices, clinical support roles and compressed operational hours had positive effects on teamwork. Numbers of non-direct report staff and areas assigned had negative effects on teamwork. Teamwork did not vary by span, managerial experience, worked hours, occupational diversity or proportion of full-time employees. Large, acute care teaching hospitals can enable managers to foster teamwork by enhancing managers' leadership practices, redesigning the flow or reporting structure for non-direct reports, optimizing managerial hours relative to operational hours, allocating clinical support roles, reducing number of areas assigned and, potentially, introducing co-manager models. Copyright © 2014 Longwoods Publishing.

Improved scores for observed teamwork in the clinical environment following a multidisciplinary operating room simulation intervention.

PubMed

Weller, Jennifer M; Cumin, David; Civil, Ian D; Torrie, Jane; Garden, Alexander; MacCormick, Andrew D; Gurusinghe, Nishanthi; Boyd, Matthew J; Frampton, Christopher; Cokorilo, Martina; Tranvik, Magnus; Carlsson, Lisa; Lee, Tracey; Ng, Wai Leap; Crossan, Michael; Merry, Alan F

2016-08-05

We ran a Multidisciplinary Operating Room Simulation (MORSim) course for 20 complete general surgical teams from two large metropolitan hospitals. Our goal was to improve teamwork and communication in the operating room (OR). We hypothesised that scores for teamwork and communication in the OR would improve back in the workplace following MORSim. We used an extended Behavioural Marker Risk Index (BMRI) to measure teamwork and communication, because a relationship has previously been documented between BMRI scores and surgical patient outcomes. Trained observers scored general surgical teams in the OR at the two study hospitals before and after MORSim, using the BMRI. Analysis of BMRI scores for the 224 general surgical cases before and 213 cases after MORSim showed BMRI scores improved by more than 20% (0.41 v 0.32, p<0.001). Previous research suggests that this improved teamwork score would translate into a clinically important reduction in complications and mortality in surgical patients. We demonstrated an improvement in scores for teamwork and communication in general surgical ORs following our intervention. These results support the use of simulation-based multidisciplinary team training for OR staff to promote better teamwork and communication, and potentially improve outcomes for general surgical patients.

The famous five factors in teamwork: a case study of fratricide.

PubMed

Rafferty, Laura A; Stanton, Neville A; Walker, Guy H

2010-10-01

The purpose of this paper is to propose foundations for a theory of errors in teamwork based upon analysis of a case study of fratricide alongside a review of the existing literature. This approach may help to promote a better understanding of interactions within complex systems and help in the formulation of hypotheses and predictions concerning errors in teamwork, particularly incidents of fratricide. It is proposed that a fusion of concepts drawn from error models, with common causal categories taken from teamwork models, could allow for an in-depth exploration of incidents of fratricide. It is argued that such a model has the potential to explore the core causal categories identified as present in an incident of fratricide. This view marks fratricide as a process of errors occurring throughout the military system as a whole, particularly due to problems in teamwork within this complex system. Implications of this viewpoint for the development of a new theory of fratricide are offered. STATEMENT OF RELEVANCE: This article provides an insight into the fusion of existing error and teamwork models for the analysis of an incident of fratricide. Within this paper, a number of commonalities among models of teamwork have been identified allowing for the development of a model.

The New Explorers teacher`s guide: The new language of science

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

NONE

1997-09-01

The Chicago Science Explorers Program is designed to make students aware of the many career options that are available to them which involve science. The program also hopes to encourage students to consider a career in science by providing interesting classroom experiences, information on various careers generated from the video tape, and a class field trip. In the videotape The New Language of Science, Dr. Larry Smarr of the University of Illinois illustrates how supercomputers can create visualizations of such complex scientific concepts and events as black holes in space, microbursts, smog, drug interactions in the body, earthquakes, and tornadoes.more » It also illustrates how math and science are integrated and emphasizes the need for students to take as much advanced mathematics as is offered at the junior high and high school level. Another underlying concept of the videotape is teamwork. Often students think of science as being an isolated career and this video tape clearly demonstrates that no one scientist would have enough knowledge to create a visualization alone. This report is the teacher`s guide for this video.« less

Internet Links for Science Education: Student-Scientist Partnerships (edited by Karen Cohen)

NASA Astrophysics Data System (ADS)

Barden, Linda M.

1998-10-01

Plenum: New York, 1997. xx + 260 pp. Figs., tables, photos. 15 x 22.8 cm. ISBN 0-306-45558-7. $27.50. Science education is undergoing an upheaval more fundamental than the one that occurred in the aftermath of Sputnik. Research during the past 40 years has led to a radical change in the way we view children's learning of science. The National Science Education Standards (NSES) suggest a new model for teaching science based upon these research findings. Societal changes, particularly changes in business, have put pressure on schools to alter the emphasis of curricula from rote memory and individual competition to problem solving using a variety of technological skills and teamwork/team competition. This timely book addresses all these issues by describing projects that K-12 teachers can use to achieve the goals set forth by both NSES and business. It also provides scientists with examples of how they and their coworkers might better interact with K-12 science education to encourage a more scientifically literate society. Finally, it includes suggestions for future research in science education.

Gender Differences in Achievement in Calculating Reacting Masses from Chemical Equations among Secondary School Students in Makurdi Metropols

ERIC Educational Resources Information Center

Eriba, Joel O.; Ande, Sesugh

2006-01-01

Over the years there exists gender inequality in science achievement among senior secondary school students the world over. It is observed that the males score higher than the females in science and science- related examinations. This has created a big psychological alienation or depression in the minds of female students towards science and…

Small Bodies, Big Concepts: Bringing Visual Analysis into the Middle School Classroom

NASA Astrophysics Data System (ADS)

Cobb, W. H.; Lebofsky, L. A.; Ristvey, J. D.; Buxner, S.; Weeks, S.; Zolensky, M. E.

2012-03-01

Multi-disciplinary PD model digs into high-end planetary science backed by a pedagogical framework, Designing Effective Science Instruction. NASA activities are sequenced to promote visual analysis of emerging data from Discovery Program missions.

The Big Science Questions About Mercury's Ice-Bearing Polar Deposits After MESSENGER

NASA Astrophysics Data System (ADS)

Chabot, N. L.; Lawrence, D. J.

2018-05-01

Mercury’s polar deposits provide many well-characterized locations that are known to have large expanses of exposed water ice and/or other volatile materials — presenting unique opportunities to address fundamental science questions.

The delta cooperative model: a dynamic and innovative team-work activity to develop research skills in microbiology.

PubMed

Rios-Velazquez, Carlos; Robles-Suarez, Reynaldo; Gonzalez-Negron, Alberto J; Baez-Santos, Ivan

2006-05-01

The Delta Cooperative Model (DCM) is a dynamic and innovative teamwork design created to develop fundamentals in research skills. High school students in the DCM belong to the Upward Bound Science and Math (UBSM) program at the Inter American University, Ponce Campus. After workshops on using the scientific method, students were organized into groups of three students with similar research interests. Each student had to take on a role within the group as either a researcher, data analyst, or research editor. Initially, each research team developed hypothesis-driven ideas on their proposed project. In intrateam research meetings, they emphasized team-specific tasks. Next, interteam meetings were held to present ideas and receive critical input. Finally, oral and poster research presentations were conducted at the UBSM science fair. Several team research projects covered topics in medical, environmental, and general microbiology. The three major assessment areas for the workshop and DCM included: (i) student's perception of the workshops' effectiveness in developing skills, content, and values; (ii) research team self- and group participation evaluation, and (iii) oral and poster presentation during the science fair. More than 91% of the students considered the workshops effective in the presentation of scientific method fundamentals. The combination of the workshop and the DCM increased student's knowledge by 55% from pre- to posttests. Two rubrics were designed to assess the oral presentation and poster set-up. The poster and oral presentation scores averaged 83% and 75% respectively. Finally, we present a team assessment instrument that allows the self- and group evaluation of each research team. While the DCM has educational plasticity and versatility, here we document how the this model has been successfully incorporated in training and engaging students in scientific research in microbiology.

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach

PubMed Central

Cheung, Mike W.-L.; Jak, Suzanne

2016-01-01

Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists—and probably the most crucial one—is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study. PMID:27242639

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach.

PubMed

Cheung, Mike W-L; Jak, Suzanne

2016-01-01

Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists-and probably the most crucial one-is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study.

IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research.

PubMed

Chen, Ying; Elenee Argentinis, J D; Weber, Griff

2016-04-01

Life sciences researchers are under pressure to innovate faster than ever. Big data offer the promise of unlocking novel insights and accelerating breakthroughs. Ironically, although more data are available than ever, only a fraction is being integrated, understood, and analyzed. The challenge lies in harnessing volumes of data, integrating the data from hundreds of sources, and understanding their various formats. New technologies such as cognitive computing offer promise for addressing this challenge because cognitive solutions are specifically designed to integrate and analyze big datasets. Cognitive solutions can understand different types of data such as lab values in a structured database or the text of a scientific publication. Cognitive solutions are trained to understand technical, industry-specific content and use advanced reasoning, predictive modeling, and machine learning techniques to advance research faster. Watson, a cognitive computing technology, has been configured to support life sciences research. This version of Watson includes medical literature, patents, genomics, and chemical and pharmacological data that researchers would typically use in their work. Watson has also been developed with specific comprehension of scientific terminology so it can make novel connections in millions of pages of text. Watson has been applied to a few pilot studies in the areas of drug target identification and drug repurposing. The pilot results suggest that Watson can accelerate identification of novel drug candidates and novel drug targets by harnessing the potential of big data. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

What’s So Different about Big Data?. A Primer for Clinicians Trained to Think Epidemiologically

PubMed Central

Liu, Vincent

2014-01-01

The Big Data movement in computer science has brought dramatic changes in what counts as data, how those data are analyzed, and what can be done with those data. Although increasingly pervasive in the business world, it has only recently begun to influence clinical research and practice. As Big Data draws from different intellectual traditions than clinical epidemiology, the ideas may be less familiar to practicing clinicians. There is an increasing role of Big Data in health care, and it has tremendous potential. This Demystifying Data Seminar identifies four main strands in Big Data relevant to health care. The first is the inclusion of many new kinds of data elements into clinical research and operations, in a volume not previously routinely used. Second, Big Data asks different kinds of questions of data and emphasizes the usefulness of analyses that are explicitly associational but not causal. Third, Big Data brings new analytic approaches to bear on these questions. And fourth, Big Data embodies a new set of aspirations for a breaking down of distinctions between research data and operational data and their merging into a continuously learning health system. PMID:25102315

What's so different about big data?. A primer for clinicians trained to think epidemiologically.

PubMed

Iwashyna, Theodore J; Liu, Vincent

2014-09-01

The Big Data movement in computer science has brought dramatic changes in what counts as data, how those data are analyzed, and what can be done with those data. Although increasingly pervasive in the business world, it has only recently begun to influence clinical research and practice. As Big Data draws from different intellectual traditions than clinical epidemiology, the ideas may be less familiar to practicing clinicians. There is an increasing role of Big Data in health care, and it has tremendous potential. This Demystifying Data Seminar identifies four main strands in Big Data relevant to health care. The first is the inclusion of many new kinds of data elements into clinical research and operations, in a volume not previously routinely used. Second, Big Data asks different kinds of questions of data and emphasizes the usefulness of analyses that are explicitly associational but not causal. Third, Big Data brings new analytic approaches to bear on these questions. And fourth, Big Data embodies a new set of aspirations for a breaking down of distinctions between research data and operational data and their merging into a continuously learning health system.

Big questions, big science: meeting the challenges of global ecology

Treesearch

David Schimel; Michael Keller

2015-01-01

Ecologists are increasingly tackling questions that require significant infrastucture, large experiments, networks of observations, and complex data and computation. Key hypotheses in ecology increasingly require more investment, and larger data sets to be tested than can be collected by a single investigator’s or s group of investigator’s labs, sustained for longer...

Examining Big-Fish-Little-Pond-Effects across 49 Countries: A Multilevel Latent Variable Modelling Approach

ERIC Educational Resources Information Center

Wang, Ze

2015-01-01

Using data from the Trends in International Mathematics and Science Study (TIMSS) 2007, this study examined the big-fish-little-pond-effects (BFLPEs) in 49 countries. In this study, the effect of math ability on math self-concept was decomposed into a within- and a between-level components using implicit mean centring and the complex data…

KNMI DataLab experiences in serving data-driven innovations

NASA Astrophysics Data System (ADS)

Noteboom, Jan Willem; Sluiter, Raymond

2016-04-01

Climate change research and innovations in weather forecasting rely more and more on (Big) data. Besides increasing data from traditional sources (such as observation networks, radars and satellites), the use of open data, crowd sourced data and the Internet of Things (IoT) is emerging. To deploy these sources of data optimally in our services and products, KNMI has established a DataLab to serve data-driven innovations in collaboration with public and private sector partners. Big data management, data integration, data analytics including machine learning and data visualization techniques are playing an important role in the DataLab. Cross-domain data-driven innovations that arise from public-private collaborative projects and research programmes can be explored, experimented and/or piloted by the KNMI DataLab. Furthermore, advice can be requested on (Big) data techniques and data sources. In support of collaborative (Big) data science activities, scalable environments are offered with facilities for data integration, data analysis and visualization. In addition, Data Science expertise is provided directly or from a pool of internal and external experts. At the EGU conference, gained experiences and best practices are presented in operating the KNMI DataLab to serve data-driven innovations for weather and climate applications optimally.

Association Between Physician Teamwork and Health System Outcomes After Coronary Artery Bypass Grafting.

PubMed

Hollingsworth, John M; Funk, Russell J; Garrison, Spencer A; Owen-Smith, Jason; Kaufman, Samuel A; Pagani, Francis D; Nallamothu, Brahmajee K

2016-11-01

Patients undergoing coronary artery bypass grafting (CABG) must often see multiple providers dispersed across many care locations. To test whether teamwork (assessed with the bipartite clustering coefficient) among these physicians is a determinant of surgical outcomes, we examined national Medicare data from patients undergoing CABG. Among Medicare beneficiaries who underwent CABG between 2008 and 2011, we mapped relationships between all physicians who treated them during their surgical episodes, including both surgeons and nonsurgeons. After aggregating across CABG episodes in a year to construct the physician social networks serving each health system, we then assessed the level of physician teamwork in these networks with the bipartite clustering coefficient. Finally, we fit a series of multivariable regression models to evaluate associations between a health system's teamwork level and its 60-day surgical outcomes. We observed substantial variation in the level of teamwork between health systems performing CABG (SD for the bipartite clustering coefficient was 0.09). Although health systems with high and low teamwork levels treated beneficiaries with comparable comorbidity scores, these health systems differed over several sociocultural and healthcare capacity factors (eg, physician staff size and surgical caseload). After controlling for these differences, health systems with higher teamwork levels had significantly lower 60-day rates of emergency department visit, readmission, and mortality. Health systems with physicians who tend to work together in tightly-knit groups during CABG episodes realize better surgical outcomes. As such, delivery system reforms focused on building teamwork may have positive effects on surgical care. © 2016 American Heart Association, Inc.

Dimensions and intensity of inter-professional teamwork in primary care: evidence from five international jurisdictions.

PubMed

Levesque, Jean-Frederic; Harris, Mark F; Scott, Cathie; Crabtree, Benjamin; Miller, William; Halma, Lisa M; Hogg, William E; Weenink, Jan-Willem; Advocat, Jenny R; Gunn, Jane; Russell, Grant

2017-10-23

Inter-professional teamwork in primary care settings offers potential benefits for responding to the increasing complexity of patients' needs. While it is a central element in many reforms to primary care delivery, implementing inter-professional teamwork has proven to be more challenging than anticipated. The objective of this study was to better understand the dimensions and intensity of teamwork and the developmental process involved in creating fully integrated teams. Secondary analyses of qualitative and quantitative data from completed studies conducted in Australia, Canada and USA. Case studies and matrices were used, along with face-to-face group retreats, using a Collaborative Reflexive Deliberative Approach. Four dimensions of teamwork were identified. The structural dimension relates to human resources and mechanisms implemented to create the foundations for teamwork. The operational dimension relates to the activities and programs conducted as part of the team's production of services. The relational dimension relates to the relationships and interactions occurring in the team. Finally, the functional dimension relates to definitions of roles and responsibilities aimed at coordinating the team's activities as well as to the shared vision, objectives and developmental activities aimed at ensuring the long-term cohesion of the team. There was a high degree of variation in the way the dimensions were addressed by reforms across the national contexts. The framework enables a clearer understanding of the incremental and iterative aspects that relate to higher achievement of teamwork. Future reforms of primary care need to address higher-level dimensions of teamwork to achieve its expected outcomes. © The Author 2017. Published by Oxford University Press.

Measuring teamwork and taskwork of community-based “teams” delivering life-saving health interventions in rural Zambia: a qualitative study

PubMed Central

2013-01-01

Background The use of teams is a well-known approach in a variety of settings, including health care, in both developed and developing countries. Team performance is comprised of teamwork and task work, and ascertaining whether a team is performing as expected to achieve the desired outcome has rarely been done in health care settings in resource-limited countries. Measuring teamwork requires identifying dimensions of teamwork or processes that comprise the teamwork construct, while taskwork requires identifying specific team functions. Since 2008 a community-based project in rural Zambia has teamed community health workers (CHWs) and traditional birth attendants (TBAs), supported by Neighborhood Health Committees (NHCs), to provide essential newborn and continuous curative care for children 0–59 months. This paper describes the process of developing a measure of teamwork and taskwork for community-based health teams in rural Zambia. Methods Six group discussions and pile-sorting sessions were conducted with three NHCs and three groups of CHW-TBA teams. Each session comprised six individuals. Results We selected 17 factors identified by participants as relevant for measuring teamwork in this rural setting. Participants endorsed seven functions as important to measure taskwork. To explain team performance, we assigned 20 factors into three sub-groups: personal, community-related and service-related. Conclusion Community and culturally relevant processes, functions and factors were used to develop a tool for measuring teamwork and taskwork in this rural community and the tool was quite unique from tools used in developed countries. PMID:23802766

Content Validation and Evaluation of an Endovascular Teamwork Assessment Tool.

PubMed

Hull, L; Bicknell, C; Patel, K; Vyas, R; Van Herzeele, I; Sevdalis, N; Rudarakanchana, N

2016-07-01

To modify, content validate, and evaluate a teamwork assessment tool for use in endovascular surgery. A multistage, multimethod study was conducted. Stage 1 included expert review and modification of the existing Observational Teamwork Assessment for Surgery (OTAS) tool. Stage 2 included identification of additional exemplar behaviours contributing to effective teamwork and enhanced patient safety in endovascular surgery (using real-time observation, focus groups, and semistructured interviews of multidisciplinary teams). Stage 3 included content validation of exemplar behaviours using expert consensus according to established psychometric recommendations and evaluation of structure, content, feasibility, and usability of the Endovascular Observational Teamwork Assessment Tool (Endo-OTAS) by an expert multidisciplinary panel. Stage 4 included final team expert review of exemplars. OTAS core team behaviours were maintained (communication, coordination, cooperation, leadership team monitoring). Of the 114 OTAS behavioural exemplars, 19 were modified, four removed, and 39 additional endovascular-specific behaviours identified. Content validation of these 153 exemplar behaviours showed that 113/153 (73.9%) reached the predetermined Item-Content Validity Index rating for teamwork and/or patient safety. After expert team review, 140/153 (91.5%) exemplars were deemed to warrant inclusion in the tool. More than 90% of the expert panel agreed that Endo-OTAS is an appropriate teamwork assessment tool with observable behaviours. Some concerns were noted about the time required to conduct observations and provide performance feedback. Endo-OTAS is a novel teamwork assessment tool, with evidence for content validity and relevance to endovascular teams. Endo-OTAS enables systematic objective assessment of the quality of team performance during endovascular procedures. Copyright © 2016. Published by Elsevier Ltd.

Improving teamwork: impact of structured interdisciplinary rounds on a hospitalist unit.

PubMed

O'Leary, Kevin J; Haviley, Corinne; Slade, Maureen E; Shah, Hiren M; Lee, Jungwha; Williams, Mark V

2011-02-01

Effective collaboration and teamwork is essential in providing safe and effective care. Research reveals deficiencies in teamwork on medical units involving hospitalists. The aim of this study was to assess the impact of an intervention, Structured Inter-Disciplinary Rounds (SIDR), on nurses' ratings of collaboration and teamwork. The study was a controlled trial involving an intervention and control hospitalist unit. The intervention, SIDR, combined a structured format for communication with a forum for regular interdisciplinary meetings. We asked nurses to rate the quality of communication and collaboration with hospitalists using a 5-point ordinal scale. We also assessed teamwork and safety climate using a validated instrument. Multivariable regression analyses were used to assess the impact on length of stay (LOS) and cost using both a concurrent and historic control. A total of 49 of 58 (84%) nurses completed surveys. A larger percentage of nurses rated the quality of communication and collaboration with hospitalists as high or very high on the intervention unit compared to the control unit (80% vs. 54%; P = 0.05). Nurses also rated the teamwork and safety climate significantly higher on the intervention unit (P = 0.008 and P = 0.03 for teamwork and safety climate, respectively). Multivariable analyses demonstrated no difference in the adjusted LOS and an inconsistent effect on cost. SIDR had a positive effect on nurses' ratings of collaboration and teamwork on a hospitalist unit, yet no impact on LOS and cost. Further study is required to assess the impact of SIDR on patient safety measures. Copyright © 2010 Society of Hospital Medicine.

Reflective writing as a tool for assessing teamwork in bioscience: insights into student performance and understanding of teamwork.

PubMed

Mayne, Lynne

2012-07-01

To ensure a modern bioscience curriculum that responds to the current needs of stakeholders, there is a need to embed a range of generic capabilities that enables graduates to succeed in and contribute to a rapidly changing world, as well as building strong bioscience skills and knowledge. The curriculum must also prepare students for a rapidly evolving competitive work place and align with the needs of industry. This creates a challenge, how do we develop generic capabilities without losing discipline content. This report analyses teamwork projects embedded in an undergraduate Biotechnology degree designed to promote teamwork skills along with a deeper understanding of the underpinning biochemistry. Student reflective writing was used to capture students' understanding and experience of teamwork as well as provide insight into their metacognition. The analysis demonstrates that 73% of Year 3 and 93% of Year 4 students were capable of learning about teamwork through reflective writing. While the importance of frequent high quality communication was a common theme, evidence suggests that many students were unsophisticated in their use of communication software. The analysis also highlighted the depth of metacognition that underpins successful team function and the significant weaknesses in self-insight some students possess. These findings challenge assumptions regarding student capacity for leadership and the ability of some students to contribute to successful team outcomes. It is essential for the design of teamwork experiences to fully understand the competencies that underlie teamwork, the metacognitive processes required, and ensure that assessments are fair and measure individual academic performance. Copyright © 2012 Wiley Periodicals, Inc.

The state of quality improvement and patient safety teaching in health professional education in New Zealand.

PubMed

Robb, Gillian; Stolarek, Iwona; Wells, Susan; Bohm, Gillian

2017-10-27

To investigate how quality and patient safety domains are being taught in the pre-registration curricula of health profession education programmes in New Zealand. All tertiary institutions providing training for medicine, nursing, midwifery, dentistry, pharmacy, physiotherapy, dietetics and 11 other allied health professions in New Zealand were contacted and a person with relevant curriculum knowledge was invited to participate. Interviews were conducted using a semi-structured interview guide to explore nine quality and safety domains; improvement science, patient safety, quality and safety culture, evidence-based practice, patient-centred care, teamwork and communication, leadership for change, systems thinking and use of information technology (IT). Transcribed data were extracted and categorised by discipline and domain. Two researchers independently identified and categorised themes within each domain, using a general inductive approach. Forty-nine institutions were contacted and 43 (88%) people were interviewed. The inclusion and extent of quality and safety teaching was variable. Evidence-based practice, patient-centred care and teamwork and communication were the strongest domains and well embedded in programmes, while leadership, systems thinking and the role of IT were less explicitly included. Except for two institutions, improvement science was absent from pre-registration curricula. Patient safety teaching was focused mainly around incident reporting, and to a lesser extent learning from adverse events. Although a 'no blame' culture was articulated as important, the theme of individual accountability was still apparent. While participants agreed that all domains were important, the main barriers to incorporating improvement science and patient safety concepts into existing programmes included an 'already stretched curriculum' and having faculty with limited expertise in these areas. Although the building blocks for improving the quality and safety of healthcare are present, this national study of multiple health professional pre-registration education programmes has identified teaching gaps in patient safety and improvement science methods and tools. Failure to address these gaps will compromise the ability of new graduates to successfully implement and sustain improvements.

The Next Big Thing - Eric Haseltine

ScienceCinema

Eric Haseltine

2017-12-09

Eric Haseltine, Haseltine Partners president and former chief of Walt Disney Imagineering, presented "The Next Big Thing," on Sept. 11, at the ORNL. He described the four "early warning signs" that a scientific breakthrough is imminent, and then suggested practical ways to turn these insights into breakthrough innovations. Haseltine is former director of research at the National Security Agency and associate director for science and technology for the director of National Intelligence, former executive vice president of Walt Disney Imagineering and director of engineering for Hughes Aircraft. He has 15 patents in optics, special effects and electronic media, and more than 100 publications in science and technical journals, the web and Discover Magazine.

Big data in biomedicine.

PubMed

Costa, Fabricio F

2014-04-01

The increasing availability and growth rate of biomedical information, also known as 'big data', provides an opportunity for future personalized medicine programs that will significantly improve patient care. Recent advances in information technology (IT) applied to biomedicine are changing the landscape of privacy and personal information, with patients getting more control of their health information. Conceivably, big data analytics is already impacting health decisions and patient care; however, specific challenges need to be addressed to integrate current discoveries into medical practice. In this article, I will discuss the major breakthroughs achieved in combining omics and clinical health data in terms of their application to personalized medicine. I will also review the challenges associated with using big data in biomedicine and translational science. Copyright © 2013 Elsevier Ltd. All rights reserved.

Diverse Grains in Mars Sandstone Target Big Arm

NASA Image and Video Library

2015-07-01

This view of a sandstone target called "Big Arm" covers an area about 1.3 inches (33 millimeters) wide in detail that shows differing shapes and colors of sand grains in the stone. Three separate images taken by the Mars Hand Lens Imager (MAHLI) camera on NASA's Curiosity Mars rover, at different focus settings, were combined into this focus-merge view. The Big Arm target on lower Mount Sharp is at a location near "Marias Pass" where a mudstone bedrock is in contact with overlying sandstone bedrock. MAHLI recorded the component images on May 29, 2015, during the 999th Martian day, or sol, of Curiosity's work on Mars. The rounded shape of some grains visible here suggests they traveled long distances before becoming part of the sediment that later hardened into sandstone. Other grains are more angular and may have originated closer to the rock's current location. Lighter and darker grains may have different compositions. MAHLI was built by Malin Space Science Systems, San Diego. NASA's Jet Propulsion Laboratory, a division of the California Institute of Technology in Pasadena, manages the Mars Science Laboratory Project for the NASA Science Mission Directorate, Washington. http://photojournal.jpl.nasa.gov/catalog/PIA19677

The Human Genome Project: big science transforms biology and medicine

PubMed Central

2013-01-01

The Human Genome Project has transformed biology through its integrated big science approach to deciphering a reference human genome sequence along with the complete sequences of key model organisms. The project exemplifies the power, necessity and success of large, integrated, cross-disciplinary efforts - so-called ‘big science’ - directed towards complex major objectives. In this article, we discuss the ways in which this ambitious endeavor led to the development of novel technologies and analytical tools, and how it brought the expertise of engineers, computer scientists and mathematicians together with biologists. It established an open approach to data sharing and open-source software, thereby making the data resulting from the project accessible to all. The genome sequences of microbes, plants and animals have revolutionized many fields of science, including microbiology, virology, infectious disease and plant biology. Moreover, deeper knowledge of human sequence variation has begun to alter the practice of medicine. The Human Genome Project has inspired subsequent large-scale data acquisition initiatives such as the International HapMap Project, 1000 Genomes, and The Cancer Genome Atlas, as well as the recently announced Human Brain Project and the emerging Human Proteome Project. PMID:24040834

Collaborative Online Teamwork: Exploring Students' Satisfaction and Attitudes with Google Hangouts as a Supplementary Communication Tool

ERIC Educational Resources Information Center

He, Jinxia; Huang, Xiaoxia

2017-01-01

This study examined differences in student satisfaction and perceptions of online teamwork in two cohorts of an undergraduate educational technology course: one delivered fully asynchronously and the other incorporating synchronous Google Hangouts sessions in student online teamwork. Participants included 50 undergraduate students at a large…

Exploring University Teacher Perceptions about Out-of-Class Teamwork

ERIC Educational Resources Information Center

Ruiz-Esparza Barajas, Elizabeth; Medrano Vela, Cecilia Araceli; Zepeda Huerta, Jesús Helbert Karim

2016-01-01

This study reports on the first stage of a larger joint research project undertaken by five universities in Mexico to explore university teachers' thinking about out-of-class teamwork. Data from interviews were analyzed using open and axial coding. Although results suggest a positive perception towards teamwork, the study unveiled important…

Teamwork in First Year Law Units: Can It Work?

ERIC Educational Resources Information Center

Carver, Tracey L.; Stickley, Amanda

2012-01-01

There is an abundance of literature on the importance of teamwork in undergraduate degrees; how to teach it, how to assess it and how to manage it. However, there is also much recorded about students' dislike of teamwork, especially where an early experience is unsatisfactory and builds resistance against such assessment. Accordingly, despite the…

A Three-Stage Process of Improvisation for Teamwork: Action Research

ERIC Educational Resources Information Center

Hains-Wesson, Rachael; Pollard, Vikki; Campbell, Angela

2017-01-01

This study examines street performing arts students' responses to using improvisation for teamwork during a first year, non-placement, work-integrated learning (WIL) experience. The aim of the study was to investigate: (1) students' perceptions of improvisation and (2) ways in which to design teamwork assessments that utilise improvisation. Data…

Team Members' Perceptions of Online Teamwork Learning Experiences and Building Teamwork Trust: A Qualitative Study

ERIC Educational Resources Information Center

Tseng, Hung Wei; Yeh, Hsin-Te

2013-01-01

Teamwork factors can facilitate team members, committing themselves to the purposes of maximizing their own and others' contributions and successes. It is important for online instructors to comprehend students' expectations on learning collaboratively. The aims of this study were to investigate online collaborative learning experiences and to…

Animation Augmented Reality Book Model (AAR Book Model) to Enhance Teamwork

ERIC Educational Resources Information Center

Chujitarom, Wannaporn; Piriyasurawong, Pallop

2017-01-01

This study aims to synthesize an Animation Augmented Reality Book Model (AAR Book Model) to enhance teamwork and to assess the AAR Book Model to enhance teamwork. Samples are five specialists that consist of one animation specialist, two communication and information technology specialists, and two teaching model design specialists, selected by…

Using Critical Praxis to Understand and Teach Teamwork

ERIC Educational Resources Information Center

Seibold, David R.; Kang, Paul

2008-01-01

The authors pursue three aims in this article. The first is to underscore critical praxis as an especially valuable approach to understanding and enabling teamwork. The second is to offer four dimensions of teamwork--vision, roles, processes, and relationships--as salient areas to interrogate using critical praxis. The third aim is to consider the…

FY2015 Analysis of the Teamwork USA Program. Memorandum

ERIC Educational Resources Information Center

Howard, Mark

2015-01-01

The Department of Research and Evaluation (DRE) has completed an analysis of the performance of students who participated in the Teamwork USA Program, administered in FY2014 at three District schools. Teamwork USA hopes to improve student achievement at select Title I elementary schools via its Instrumental Music Program grant. This memorandum to…

Teamwork in Israeli Arab-Bedouin School-Based Management

ERIC Educational Resources Information Center

Mizel, Omar

2009-01-01

Throughout the western world a leading example of the educational reforms that have been implemented in the late twentieth and twenty-first century is School-Based Management (SBM), a system designed to improve educational outcome through staff teamwork and self-governance. This research set out to examine the efficacy of teamwork in ten…

The Conceptions about Teamwork Questionnaire: Design, Reliability and Validity with Secondary Students

ERIC Educational Resources Information Center

Martinez-Fernandez, J. Reinaldo; Corcelles, Mariona; Cerrato-Lara, Maria

2011-01-01

In this study, we present the conceptions about teamwork questionnaire designed to evaluate the conceptions that secondary students have about teamwork. Participants were 309 students aged 15-16 from eight secondary schools, seven from Barcelona and one from Girona (Spain). The original 27-item questionnaire was reduced according to expert…

Organizational (role structuring) and personal (organizational commitment and job involvement) factors: do they predict interprofessional team effectiveness?

PubMed

Freund, Anat; Drach-Zahavy, Anat

2007-06-01

Teamwork in community clinics was examined to propose and test a model that views the different kinds of commitment (job involvement and organizational commitment) and the potential conflict between them, as mediators between personal and organizational factors (mechanistic structuring and organic structuring) and the effectiveness of interprofessional teamwork. Differences among the professional groups became evident with regard to their views of the goals of teamwork and the ways to achieve them. As for mechanistic structuring, although the clinic members saw their mechanistic structuring in a more bureaucratic sense, the combination of mechanistic structuring and organic structuring led to effective teamwork. In terms of commitment, while staff members were committed primarily to their job and not the organization, commitment to the organization produced effective teamwork in the clinics.

Nurse-physician teamwork in the emergency department: impact on perceptions of job environment, autonomy, and control over practice.

PubMed

Ajeigbe, David O; McNeese-Smith, Donna; Leach, Linda Searle; Phillips, Linda R

2013-03-01

Teamwork is essential to safety. Few studies focus on teamwork between nurses and physicians in emergency departments (EDs). The aim of this study was to examine differences between staff in the interventional group EDs (IGEDs) and control group EDs (CGEDs) on perception of job environment, autonomy, and control over practice. This was a comparative cross-sectional study of the impact of teamwork on perceptions of job environment, autonomy, and control over practice by registered nurses and physicians (MDs) in EDs. Staff in the IGEDs showed significant differences compared with staff who worked in the CGEDs on staff perception of job environment, autonomy, and control over practice. Active teamwork practice was associated with increased perceptions of a positive job environment, autonomy, and control over practice of both nurses and physicians.

Bigfoot Field Manual, Version 2.1

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

Campbell, J.L.; Burrows, S.; Gower, S.T.

1999-09-01

The BigFoot Project is funded by the Earth Science Enterprise to collect and organize data to be used in the National Aeronautics and Space Administration's Earth Observing System (EOS) Validation Program. The data collected by the BigFoot Project are unique in being ground-based observations coincident with satellite overpasses. In addition to collecting data, the BigFoot project will develop and test new algorithms for scaling point measurements to the same spatial scales as the EOS satellite products. This BigFoot Field Manual will be used to achieve completeness and consistency of data collected at four initial BigFoot sites and at future sitesmore » that may collect similar validation data. Therefore, validation datasets submitted to the Oak Ridge National Laboratory Distributed Active Archive Center that have been compiled in a manner consistent with the field manual will be especially valuable in the validation program.« less

One more thing: Faculty response to increased emphasis on project teams in undergraduate engineering education

NASA Astrophysics Data System (ADS)

Hunter, Jane

Tenured and tenure-track faculty members at institutions of higher education, especially those at Research I institutions, are being asked to do more than ever before. With rapidly changing technology, significant decreases in public funding, the shift toward privately funded research, and the ever increasing expectations of students for an education that adequately prepares them for professional careers, engineering faculty are particularly challenged by the escalating demands on their time. In 1996, the primary accreditation organization for engineering programs (ABET) adopted new criteria that required, among other things, engineering programs to teach students to function on multidisciplinary teams and to communicate effectively. In response, most engineering programs utilize project teams as a strategy for teaching these skills. The purpose of this qualitative study of tenured and tenure track engineering faculty at a Research I institution in the southwestern United States was to explore the variety of ways in which the engineering faculty responded to the demands placed upon them as a result of the increased emphasis on project teams in undergraduate engineering education. Social role theory and organizational climate theory guided the study. Some faculty viewed project teams as an opportunity for students to learn important professional skills and to benefit from collaborative learning but many questioned the importance and feasibility of teaching teamwork skills and had concerns about taking time away from other essential fundamental material such as mathematics, basic sciences and engineering sciences. Although the administration of the College of Engineering articulated strong support for the use of project teams in undergraduate education, the prevailing climate did little to promote significant efforts related to effective utilization of project teams. Too often, faculty were unwilling to commit sufficient time or effort to make project teamwork a truly valuable learning opportunity because those efforts were not perceived to be valuable and were rarely rewarded. Few formal professional development opportunities were available and few incentives were in place to encourage other informal efforts to develop the necessary skills. Those who committed significant effort to project teams were challenged by concerns about team composition, student accountability and assigning individual grades for group teamwork.

Effects of team-building on communication and teamwork among nursing students.

PubMed

Yi, Y J

2016-03-01

The aim of this study was to assess the effects of team-building on communication and teamwork (i.e. teamwork skills and team effectiveness) among nursing students. Team-building is effective for improving communication and teamwork among the nursing organization. However, the effects of team-building are not well known especially in Korea. This study used a quasi-experimental design. The sample was composed of 195 junior-year nursing students in Korea. The experimental group (100 subjects) participated in team-building activities over a 100-day period, whereas no intervention was applied to the control group (95 subjects). Pretest was conducted in both groups, and post-test was conducted after the 100-day intervention. The pre-post change in mean communication competence score did not differ between the two groups. However, the mean scores for teamwork skills and team effectiveness differed significantly between the two groups after team-building activity. This study was not a double-blind test, and randomized sampling was not implemented. Caution should thus be used when interpreting the findings. Team-building activities were effective for improving the teamwork skills and team effectiveness among Korean nursing students. It is recommended that team-building activities should be included regularly as an integral educational approach in nursing education. The findings suggest that suggests that team-building for improving communication and teamwork should be designated as one of the required criteria for nursing college programme accreditation in many countries, including Korea. However team-building requires further testing to verify this across cultures. Nurses need to receive formal team-building training for improving communication and teamwork, and formal education should be included in their job training schedule. It is recommended that communication competence and teamwork be used as one of job performance evaluations in their workplace. © 2015 International Council of Nurses.

Expert validation of a teamwork assessment rubric: A modified Delphi study.

PubMed

Parratt, Jenny A; Fahy, Kathleen M; Hutchinson, Marie; Lohmann, Gui; Hastie, Carolyn R; Chaseling, Marilyn; O'Brien, Kylie

2016-01-01

Teamwork is a 'soft skill' employability competence desired by employers. Poor teamwork skills in healthcare have an impact on adverse outcomes. Teamwork skills are rarely the focus of teaching and assessment in undergraduate courses. The TeamUP Rubric is a tool used to teach and evaluate undergraduate students' teamwork skills. Students also use the rubric to give anonymised peer feedback during team-based academic assignments. The rubric's five domains focus on planning, environment, facilitation, conflict management and individual contribution; each domain is grounded in relevant theory. Students earn marks for their teamwork skills; validity of the assessment rubric is critical. To what extent do experts agree that the TeamUP Rubric is a valid assessment of 'teamwork skills'? Modified Delphi technique incorporating Feminist Collaborative Conversations. A heterogeneous panel of 35 professionals with recognised expertise in communications and/or teamwork. Three Delphi rounds using a survey that included the rubric were conducted either face-to-face, by telephone or online. Quantitative analysis yielded item content validity indices (I-CVI); minimum consensus was pre-set at 70%. An average of the I-CVI also yielded sub-scale (domain) (D-CVI/Ave) and scale content validity indices (S-CVI/Ave). After each Delphi round, qualitative data were analysed and interpreted; Feminist Collaborative Conversations by the research team aimed to clarify and confirm consensus about the wording of items on the rubric. Consensus (at 70%) was obtained for all but one behavioural descriptor of the rubric. We modified that descriptor to address expert concerns. The TeamUP Rubric (Version 4) can be considered to be well validated at that level of consensus. The final rubric reflects underpinning theory, with no areas of conceptual overlap between rubric domains. The final TeamUP Rubric arising from this study validly measures individual student teamwork skills and can be used with confidence in the university setting. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Surgical Safety Checklist and Teamwork Coaching Tools: a study of inter-rater reliability.

PubMed

Huang, Lyen C; Conley, Dante; Lipsitz, Stu; Wright, Christopher C; Diller, Thomas W; Edmondson, Lizabeth; Berry, William R; Singer, Sara J

2014-08-01

To assess the inter-rater reliability (IRR) of two novel observation tools for measuring surgical safety checklist performance and teamwork. Data surgical safety checklists can promote adherence to standards of care and improve teamwork in the operating room. Their use has been associated with reductions in mortality and other postoperative complications. However, checklist effectiveness depends on how well they are performed. Authors from the Safe Surgery 2015 initiative developed a pair of novel observation tools through literature review, expert consultation and end-user testing. In one South Carolina hospital participating in the initiative, two observers jointly attended 50 surgical cases and independently rated surgical teams using both tools. We used descriptive statistics to measure checklist performance and teamwork at the hospital. We assessed IRR by measuring percent agreement, Cohen's κ, and weighted κ scores. The overall percent agreement and κ between the two observers was 93% and 0.74 (95% CI 0.66 to 0.79), respectively, for the Checklist Coaching Tool and 86% and 0.84 (95% CI 0.77 to 0.90) for the Surgical Teamwork Tool. Percent agreement for individual sections of both tools was 79% or higher. Additionally, κ scores for six of eight sections on the Checklist Coaching Tool and for two of five domains on the Surgical Teamwork Tool achieved the desired 0.7 threshold. However, teamwork scores were high and variation was limited. There were no significant changes in the percent agreement or κ scores between the first 10 and last 10 cases observed. Both tools demonstrated substantial IRR and required limited training to use. These instruments may be used to observe checklist performance and teamwork in the operating room. However, further refinement and calibration of observer expectations, particularly in rating teamwork, could improve the utility of the tools. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Economics and econophysics in the era of Big Data

NASA Astrophysics Data System (ADS)

Cheong, Siew Ann

2016-12-01

There is an undeniable disconnect between theory-heavy economics and the real world, and some cross polination of ideas with econophysics, which is more balanced between data and models, might help economics along the way to become a truly scientific enterprise. With the coming of the era of Big Data, this transformation of economics into a data-driven science is becoming more urgent. In this article, I use the story of Kepler's discovery of his three laws of planetary motion to enlarge the framework of the scientific approach, from one that focuses on experimental sciences, to one that accommodates observational sciences, and further to one that embraces data mining and machine learning. I distinguish between the ontological values of Kepler's Laws vis-a-vis Newton's Laws, and argue that the latter is more fundamental because it is able to explain the former. I then argue that the fundamental laws of economics lie not in mathematical equations, but in models of adaptive economic agents. With this shift in mind set, it becomes possible to think about how interactions between agents can lead to the emergence of multiple stable states and critical transitions, and complex adaptive policies and regulations that might actually work in the real world. Finally, I discuss how Big Data, exploratory agent-based modeling, and predictive agent-based modeling can come together in a unified framework to make economics a true science.

Error disclosure: a new domain for safety culture assessment.

PubMed

Etchegaray, Jason M; Gallagher, Thomas H; Bell, Sigall K; Dunlap, Ben; Thomas, Eric J

2012-07-01

To (1) develop and test survey items that measure error disclosure culture, (2) examine relationships among error disclosure culture, teamwork culture and safety culture and (3) establish predictive validity for survey items measuring error disclosure culture. All clinical faculty from six health institutions (four medical schools, one cancer centre and one health science centre) in The University of Texas System were invited to anonymously complete an electronic survey containing questions about safety culture and error disclosure. The authors found two factors to measure error disclosure culture: one factor is focused on the general culture of error disclosure and the second factor is focused on trust. Both error disclosure culture factors were unique from safety culture and teamwork culture (correlations were less than r=0.85). Also, error disclosure general culture and error disclosure trust culture predicted intent to disclose a hypothetical error to a patient (r=0.25, p<0.001 and r=0.16, p<0.001, respectively) while teamwork and safety culture did not predict such an intent (r=0.09, p=NS and r=0.12, p=NS). Those who received prior error disclosure training reported significantly higher levels of error disclosure general culture (t=3.7, p<0.05) and error disclosure trust culture (t=2.9, p<0.05). The authors created and validated a new measure of error disclosure culture that predicts intent to disclose an error better than other measures of healthcare culture. This measure fills an existing gap in organisational assessments by assessing transparent communication after medical error, an important aspect of culture.

25th Birthday Cern- Amphi

ScienceCinema

None

2017-12-09

Cérémonie du 25ème anniversaire du Cern avec 2 orateurs: le Prof.Weisskopf parle de la signification et le rôle du Cern et le Prof.Casimir(?) fait un exposé sur les rélations entre la science pure et la science appliquée et la "big science" (science légère)

Using a Very Big Rocket to take Very Small Satellites to Very Far Places

NASA Technical Reports Server (NTRS)

Cohen, Barbara

2017-01-01

Planetary science cubesats are being built. Insight (2018) will carry 2 cubesats to provide communication links to Mars. EM-1 (2019) will carry 13 cubesat-class missions to further smallsat science and exploration capabilities. Planetary science cubesats have more in common with large planetary science missions than LEO cubesats- need to work closely with people who have deep-space mission experience

International Cooperation in Science. Science Policy Study--Hearings Volume 7. Hearings before the Task Force on Science Policy of the Committee on Science and Technology, House of Representatives, Ninety-Ninth Congress, First Session (June 18, 19, 20, 27, 1985). No. 50.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. House Committee on Science and Technology.

These hearings on international cooperation in science focused on three issues: (1) international cooperation in big science; (2) the impact of international cooperation on research priorities; and (3) coordination in management of international cooperative research. Witnesses presenting testimony and/or prepared statements were: Victor Weisskopf;…

Effectiveness of Teamwork in an Integrated Care Setting for Patients with COPD: Development and Testing of a Self-Evaluation Instrument for Interprofessional Teams.

PubMed

Van Dijk-de Vries, Anneke N; Duimel-Peeters, Inge G P; Muris, Jean W; Wesseling, Geertjan J; Beusmans, George H M I; Vrijhoef, Hubertus J M

2016-04-08

Teamwork between healthcare providers is conditional for the delivery of integrated care. This study aimed to assess the usefulness of the conceptual framework Integrated Team Effectiveness Model for developing and testing of the Integrated Team Effectiveness Instrument. Focus groups with healthcare providers in an integrated care setting for people with chronic obstructive pulmonary disease (COPD) were conducted to examine the recognisability of the conceptual framework and to explore critical success factors for collaborative COPD practice out of this framework. The resulting items were transposed into a pilot instrument. This was reviewed by expert opinion and completed 153 times by healthcare providers. The underlying structure and internal consistency of the instrument were verified by factor analysis and Cronbach's alpha. The conceptual framework turned out to be comprehensible for discussing teamwork effectiveness. The pilot instrument measures 25 relevant aspects of teamwork in integrated COPD care. Factor analysis suggested three reliable components: teamwork effectiveness, team processes and team psychosocial traits (Cronbach's alpha between 0.76 and 0.81). The conceptual framework Integrated Team Effectiveness Model is relevant in developing a practical full-spectrum instrument to facilitate discussing teamwork effectiveness. The Integrated Team Effectiveness Instrument provides a well-founded basis to self-evaluate teamwork effectiveness in integrated COPD care by healthcare providers. Recommendations are provided for the improvement of the instrument.

Teamwork, Soft Skills, and Research Training.

PubMed

Gibert, Anaïs; Tozer, Wade C; Westoby, Mark

2017-02-01

We provide a list of soft skills that are important for collaboration and teamwork, based on our own experience and from an opinion survey of team leaders. Each skill can be learned to some extent. We also outline workable short courses for graduate schools to strengthen teamwork and collaboration skills among research students. Copyright © 2016 Elsevier Ltd. All rights reserved.

University Continuing Education as Teamwork--Three Case Studies

ERIC Educational Resources Information Center

Sandberg, Håkan

2004-01-01

Previous work has identified a lack of focused research in the field of team working in university continuing education (UCE). However, teamwork could be seen as self-evident in UCE, in part because UCE is of interest to employees, employers, universities and society. The aim of this study is to "describe" teamwork in UCE at three…

Teaching Teamwork in Australian University Business Disciplines: Evidence from a Systematic Literature Review

ERIC Educational Resources Information Center

Riebe, Linda; Girardi, Antonia; Whitsed, Craig

2017-01-01

Australian employers continue to indicate that the development of teamwork skills in graduates is as important as mastering technical skills required for a particular career. In Australia, the reporting on the teaching of teamwork skills has emanated across a range of disciplines including health and engineering, with less of a focus on business…

Student Groups as Learning Entities: The Effect of Group Diversity and Teamwork Quality on Groups' Cognitive Complexity

ERIC Educational Resources Information Center

Curseu, Petru L.; Pluut, Helen

2013-01-01

Collaborative learning has important group-level benefits, yet most studies in higher education only focus on individual benefits of collaborative learning experiences. This study extends these insights by testing a model in which teamwork quality mediates the impact of several compositional differences (gender, nationality and teamwork expertise…

Total Quality Management (TQM): Training Module on "Empowerment/Teamwork."

ERIC Educational Resources Information Center

Leigh, David

This module for a 1-semester Total Quality Management (TQM) course for high school or community college students covers the topics of empowerment and teamwork. It includes the following components: (1) a narrative summary of the topics; (2) a discussion of employee empowerment; (3) a discussion of teamwork and self-directed teams; (4) a discussion…

Re-Viewing Student Teamwork: Preparation for the "Real World" or Bundles of Situated Social Practices?

ERIC Educational Resources Information Center

Sykes, Christopher; Moerman, Lee; Gibbons, Belinda; Dean, Bonnie Amelia

2014-01-01

Research in Australian business education continues to emphasise the importance of students learning teamwork as an integral part of the undergraduate curriculum. However, entrenched conceptual and practical confusion as to what the term "teamwork" means and how it ought to be enacted remains a vexed issue capable of distorting and…

Measuring Perceptions of Engagement in Teamwork in Youth Development Programs

ERIC Educational Resources Information Center

Cater, Melissa; Jones, Kimberly Y.

2014-01-01

The literature regarding teamwork has supported the idea that the key to improving team performance is to understand team processes. Early work within the realm of teamwork focused on quantifiable measures of team performance, like number of products developed. The measure of a successful team hinged on whether or not the team accomplished the end…

Teamwork and Communication Skills in Cardiothoracic Surgery.

PubMed

Wilson, Jennifer L; Whyte, Richard I; Gangadharan, Sidhu P; Kent, Michael S

2017-04-01

Teamwork and communication skills are essential for the safe practice of cardiothoracic surgery. In this article, we will summarize the literature on teamwork and the culture of safety, and discuss how surgeons may directly improve the outcomes of their patients by addressing these factors. Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

Self and Others in Team-Based Learning: Acquiring Teamwork Skills for Business

ERIC Educational Resources Information Center

Betta, Michela

2016-01-01

Team-based learning (TBL) was applied within a third-year unit of study about ethics and management with the aim of enhancing students' teamwork skills. A survey used to collect students' opinions about their experience with TBL provided insights about how TBL helped students to develop an appreciation for teamwork and team collaboration. The team…

Big Fish in Little Ponds Aspire More: Mediation and Cross-Cultural Generalizability of School-Average Ability Effects on Self-Concept and Career Aspirations in Science

ERIC Educational Resources Information Center

Nagengast, Benjamin; Marsh, Herbert W.

2012-01-01

Being schooled with other high-achieving peers has a detrimental influence on students' self-perceptions: School-average and class-average achievement have a negative effect on academic self-concept and career aspirations--the big-fish-little-pond effect. Individual achievement, on the other hand, predicts academic self-concept and career…

On Enthusing Students about Big Data and Social Media Visualization and Analysis Using R, RStudio, and RMarkdown

ERIC Educational Resources Information Center

Stander, Julian; Dalla Valle, Luciana

2017-01-01

We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

Rethinking climate change adaptation and place through a situated pathways framework: A case study from the Big Hole Valley, USA

Treesearch

Daniel J. Murphy; Laurie Yung; Carina Wyborn; Daniel R. Williams

2017-01-01

This paper critically examines the temporal and spatial dynamics of adaptation in climate change science and explores how dynamic notions of 'place' elucidate novel ways of understanding community vulnerability and adaptation. Using data gathered from a narrative scenario-building process carried out among communities of the Big Hole Valley in Montana, the...