Teaching Strategies for Developing Students' Argumentation Skills about Socioscientific Issues in High School Genetics

ERIC Educational Resources Information Center

Dawson, Vaille Maree; Venville, Grady

2010-01-01

An outcome of science education is that young people have the understandings and skills to participate in public debate and make informed decisions about science issues that influence their lives. Toulmin's argumentation skills are emerging as an effective strategy to enhance the quality of evidence based decision making in science classrooms. In…

Decisions Based on Science.

ERIC Educational Resources Information Center

Campbell, Vincent; Lofstrom, Jocelyn; Jerome, Brian

This guide makes the case for a decision-making focus in the science curriculum as a response to concern over preparing scientifically literate students. The student activities are organized by guided activities and independent exercises. Themes of the guided activities include xenotransplants, immunizations, household cleaning products, ozone,…

The Role of Human Factors/Ergonomics in the Science of Security: Decision Making and Action Selection in Cyberspace.

PubMed

Proctor, Robert W; Chen, Jing

2015-08-01

The overarching goal is to convey the concept of science of security and the contributions that a scientifically based, human factors approach can make to this interdisciplinary field. Rather than a piecemeal approach to solving cybersecurity problems as they arise, the U.S. government is mounting a systematic effort to develop an approach grounded in science. Because humans play a central role in security measures, research on security-related decisions and actions grounded in principles of human information-processing and decision-making is crucial to this interdisciplinary effort. We describe the science of security and the role that human factors can play in it, and use two examples of research in cybersecurity--detection of phishing attacks and selection of mobile applications--to illustrate the contribution of a scientific, human factors approach. In these research areas, we show that systematic information-processing analyses of the decisions that users make and the actions they take provide a basis for integrating the human component of security science. Human factors specialists should utilize their foundation in the science of applied information processing and decision making to contribute to the science of cybersecurity. © 2015, Human Factors and Ergonomics Society.

Uncertainty in Driftless Area Cold-Water Fishery Decision Making and a Framework for Stakeholder-Based Science

NASA Astrophysics Data System (ADS)

Schuster, Z.

2015-12-01

The paradigm of stakeholder-based science is becoming more popular as organizations such as the U.S. Department of the Interior Climate Science Centers adopt it as a way of providing practicable climate change information to practitioners. One of the key issues stakeholders face in adopting climate change information into their decision processes is how uncertainty is addressed and communicated. In this study, we conducted a series of semi-structured interviews with managers and scientists working on stream habitat restoration of cold-water fisheries in the Driftless Area of Wisconsin that were focused on how they interpret and manage uncertainty and what types of information they need to make better decisions. One of the important lessons we learned from the interviews is that if researchers are going to provide useful climate change information to stakeholders, they need to understand where and how decisions are made and what adaptation measures are actually available in a given decision arena. This method of incorporating social science methods into climate science production can provide a framework for researchers from the Climate Science Centers and others who are interested in pursuing stakeholder-based science. By indentifying a specific ecological system and conducting interviews with actors who work on that system, researchers will be able to gain a better understanding of how their climate change science can fit into existing or shape new decision processes. We also interpreted lessons learned from our interviews via existing literature in areas such as stakeholder-based modeling and the decision sciences to provide guidance specific to the stakeholder-based science process.

[The role of research-based evidence in health system policy decision-making].

PubMed

Patiño, Daniel; Lavis, John N; Moat, Kaelan

2013-01-01

Different models may be used for explaining how research-based evidence is used in healthcare system policy-making. It is argued that models arising from a clinical setting (i.e. evidence-based policy-making model) could be useful regarding some types of healthcare system decision-making. However, such models are "silent" concerning the influence of political contextual factors on healthcare policy-making and are thus inconsistent with decision-making regarding the modification of healthcare system arrangements. Other political science-based models would seem to be more useful for understanding that research is just one factor affecting decision-making and that different types of research-based evidence can be used instrumentally, conceptual or strategically during different policy-making stages.

Completing the Link between Exposure Science and Toxicology for Improved Environmental Health Decision Making: The Aggregate Exposure Pathway Framework.

PubMed

Teeguarden, Justin G; Tan, Yu-Mei; Edwards, Stephen W; Leonard, Jeremy A; Anderson, Kim A; Corley, Richard A; Kile, Molly L; Simonich, Staci M; Stone, David; Tanguay, Robert L; Waters, Katrina M; Harper, Stacey L; Williams, David E

2016-05-03

Driven by major scientific advances in analytical methods, biomonitoring, computation, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the "systems approaches" used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) concept in the toxicological sciences. Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more meaningful integration of exposure assessment and hazard identification. Together, the two frameworks form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making.

Towards a more open debate about values in decision-making on agricultural biotechnology.

PubMed

Devos, Yann; Sanvido, Olivier; Tait, Joyce; Raybould, Alan

2014-12-01

Regulatory decision-making over the use of products of new technology aims to be based on science-based risk assessment. In some jurisdictions, decision-making about the cultivation of genetically modified (GM) plants is blocked supposedly because of scientific uncertainty about risks to the environment. However, disagreement about the acceptability of risks is primarily a dispute over normative values, which is not resolvable through natural sciences. Natural sciences may improve the quality and relevance of the scientific information used to support environmental risk assessments and make scientific uncertainties explicit, but offer little to resolve differences about values. Decisions about cultivating GM plants will thus not necessarily be eased by performing more research to reduce scientific uncertainty in environmental risk assessments, but by clarifying the debate over values. We suggest several approaches to reveal values in decision-making: (1) clarifying policy objectives; (2) determining what constitutes environmental harm; (3) making explicit the factual and normative premises on which risk assessments are based; (4) better demarcating environmental risk assessment studies from ecological research; (5) weighing the potential for environmental benefits (i.e., opportunities) as well as the potential for environmental harms (i.e., risks); and (6) expanding participation in the risk governance of GM plants. Recognising and openly debating differences about values will not remove controversy about the cultivation of GM plants. However, by revealing what is truly in dispute, debates about values will clarify decision-making criteria.

Geospatial decision support systems for societal decision making

USGS Publications Warehouse

Bernknopf, R.L.

2005-01-01

While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the GDSS have demonstrated the benefits of utilizing science for policy decisions. Investment in science reduces decision-making uncertainty and reducing that uncertainty has economic value.

Palliative Medicine and Decision Science: The Critical Need for a Shared Agenda To Foster Informed Patient Choice in Serious Illness

PubMed Central

Kryworuchko, Jennifer; Matlock, Dan D.; Volandes, Angelo E.

2011-01-01

Abstract Assisting patients and their families in complex decision making is a foundational skill in palliative care; however, palliative care clinicians and scientists have just begun to establish an evidence base for best practice in assisting patients and families in complex decision making. Decision scientists aim to understand and clarify the concepts and techniques of shared decision making (SDM), decision support, and informed patient choice in order to ensure that patient and family perspectives shape their health care experience. Patients with serious illness and their families are faced with myriad complex decisions over the course of illness and as death approaches. If patients lose capacity, then surrogate decision makers are cast into the decision-making role. The fields of palliative care and decision science have grown in parallel. There is much to be gained in advancing the practices of complex decision making in serious illness through increased collaboration. The purpose of this article is to use a case study to highlight the broad range of difficult decisions, issues, and opportunities imposed by a life-limiting illness in order to illustrate how collaboration and a joint research agenda between palliative care and decision science researchers, theorists, and clinicians might guide best practices for patients and their families. PMID:21895453

Grade 7 students' normative decision making in science learning about global warming through science technology and society (STS) approach

NASA Astrophysics Data System (ADS)

Luengam, Piyanuch; Tupsai, Jiraporn; Yuenyong, Chokchai

2018-01-01

This study reported Grade 7 students' normative decision making in teaching and learning about global warming through science technology and society (STS) approach. The participants were 43 Grade 7 students in Sungkom, Nongkhai, Thailand. The teaching and learning about global warming through STS approach had carried out for 5 weeks. The global warming unit through STS approach was developed based on framework of Yuenyong (2006) that consisted of five stages including (1) identification of social issues, (2) identification of potential solutions, (3) need for knowledge, (4) decision-making, and (5) socialization stage. Students' normative decision making was collected during their learning by questionnaire, participant observation, and students' tasks. Students' normative decision making were analyzed from both pre-and post-intervention and students' ideas during the intervention. The aspects of normative include influences of global warming on technology and society; influences of values, culture, and society on global warming; and influences of technology on global warming. The findings revealed that students have chance to learn science concerning with the relationship between science, technology, and society through their giving reasons about issues related to global warming. The paper will discuss implications of these for science teaching and learning through STS in Thailand.

Research implications of science-informed, value-based decision making.

PubMed

Dowie, Jack

2004-01-01

In 'Hard' science, scientists correctly operate as the 'guardians of certainty', using hypothesis testing formulations and value judgements about error rates and time discounting that make classical inferential methods appropriate. But these methods can neither generate most of the inputs needed by decision makers in their time frame, nor generate them in a form that allows them to be integrated into the decision in an analytically coherent and transparent way. The need for transparent accountability in public decision making under uncertainty and value conflict means the analytical coherence provided by the stochastic Bayesian decision analytic approach, drawing on the outputs of Bayesian science, is needed. If scientific researchers are to play the role they should be playing in informing value-based decision making, they need to see themselves also as 'guardians of uncertainty', ensuring that the best possible current posterior distributions on relevant parameters are made available for decision making, irrespective of the state of the certainty-seeking research. The paper distinguishes the actors employing different technologies in terms of the focus of the technology (knowledge, values, choice); the 'home base' mode of their activity on the cognitive continuum of varying analysis-to-intuition ratios; and the underlying value judgements of the activity (especially error loss functions and time discount rates). Those who propose any principle of decision making other than the banal 'Best Principle', including the 'Precautionary Principle', are properly interpreted as advocates seeking to have their own value judgements and preferences regarding mode location apply. The task for accountable decision makers, and their supporting technologists, is to determine the best course of action under the universal conditions of uncertainty and value difference/conflict.

How Citizens Learn and Use Scientific and Technical Information in Environmental Decision Making

ERIC Educational Resources Information Center

Hartley, Troy W.

2005-01-01

There is concern that laypersons participating in environmental or natural resource decision making cannot or do not engage the scientific and technical information sufficiently to integrate that information into the decisions and reach a highquality, science-based decision. This study examined how thirteen citizens participating in two Superfund…

Making objective decisions in mechanical engineering problems

NASA Astrophysics Data System (ADS)

Raicu, A.; Oanta, E.; Sabau, A.

2017-08-01

Decision making process has a great influence in the development of a given project, the goal being to select an optimal choice in a given context. Because of its great importance, the decision making was studied using various science methods, finally being conceived the game theory that is considered the background for the science of logical decision making in various fields. The paper presents some basic ideas regarding the game theory in order to offer the necessary information to understand the multiple-criteria decision making (MCDM) problems in engineering. The solution is to transform the multiple-criteria problem in a one-criterion decision problem, using the notion of utility, together with the weighting sum model or the weighting product model. The weighted importance of the criteria is computed using the so-called Step method applied to a relation of preferences between the criteria. Two relevant examples from engineering are also presented. The future directions of research consist of the use of other types of criteria, the development of computer based instruments for decision making general problems and to conceive a software module based on expert system principles to be included in the Wiki software applications for polymeric materials that are already operational.

Insights into water managers' perception and handling of uncertainties - a study of the role of uncertainty in practitioners' planning and decision-making

NASA Astrophysics Data System (ADS)

Höllermann, Britta; Evers, Mariele

2017-04-01

Planning and decision-making under uncertainty is common in water management due to climate variability, simplified models, societal developments, planning restrictions just to name a few. Dealing with uncertainty can be approached from two sites, hereby affecting the process and form of communication: Either improve the knowledge base by reducing uncertainties or apply risk-based approaches to acknowledge uncertainties throughout the management process. Current understanding is that science more strongly focusses on the former approach, while policy and practice are more actively applying a risk-based approach to handle incomplete and/or ambiguous information. The focus of this study is on how water managers perceive and handle uncertainties at the knowledge/decision interface in their daily planning and decision-making routines. How they evaluate the role of uncertainties for their decisions and how they integrate this information into the decision-making process. Expert interviews and questionnaires among practitioners and scientists provided an insight into their perspectives on uncertainty handling allowing a comparison of diverse strategies between science and practice as well as between different types of practitioners. Our results confirmed the practitioners' bottom up approach from potential measures upwards instead of impact assessment downwards common in science-based approaches. This science-practice gap may hinder effective uncertainty integration and acknowledgement in final decisions. Additionally, the implementation of an adaptive and flexible management approach acknowledging uncertainties is often stalled by rigid regulations favouring a predict-and-control attitude. However, the study showed that practitioners' level of uncertainty recognition varies with respect to his or her affiliation to type of employer and business unit, hence, affecting the degree of the science-practice-gap with respect to uncertainty recognition. The level of working experience was examined as a cross-cutting property of science and practice with increasing levels of uncertainty awareness and integration among more experienced researchers and practitioners. In conclusion, our study of water managers' perception and handling of uncertainties provides valuable insights for finding routines for uncertainty communication and integration into planning and decision-making processes by acknowledging the divers perceptions among producers, users and receivers of uncertainty information. These results can contribute to more effective integration of hydrological forecast and improved decisions.

Scientific literacy for democratic decision-making

NASA Astrophysics Data System (ADS)

Yacoubian, Hagop A.

2018-02-01

Scientifically literate citizens must be able to engage in making decisions on science-based social issues. In this paper, I start by showing examples of science curricula and policy documents that capitalise the importance of engaging future citizens in decision-making processes whether at the personal or at the societal levels. I elucidate the ideological underpinnings behind a number of the statements within those documents that have defined the trajectory of scientific literacy and have shaped what ought to be considered as personal and societal benefits. I argue that science curricula and policy documents can truly endorse scientific literacy when they embed principles of democratic education at their core. The latter entails fostering learning experiences where some of the underlying assumptions and political ideologies are brought to the conscious level and future citizens encouraged to reflect upon them critically and explicitly. Such a proposal empowers the future citizens to engage in critical deliberation on science-based social issues without taking the underlying status quo for granted. I end up the paper by situating the preparation of scientifically literate citizens within a framework of democratic education, discuss conditions through which a curriculum for scientific literacy can serve democratic decision-making processes, and provide modest recommendations.

Completing the Link between Exposure Science and Toxicology for Improved Environmental Health Decision Making: The Aggregate Exposure Pathway Framework

PubMed Central

Teeguarden, Justin. G.; Tan, Yu-Mei; Edwards, Stephen W.; Leonard, Jeremy A.; Anderson, Kim A.; Corley, Richard A.; Harding, Anna K; Kile, Molly L.; Simonich, Staci M; Stone, David; Tanguay, Robert L.; Waters, Katrina M.; Harper, Stacey L.; Williams, David E.

2016-01-01

Synopsis Driven by major scientific advances in analytical methods, biomonitoring, computational tools, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the “systems approaches” used in the biological sciences is a necessary step in this evolution. Here we propose the Aggregate Exposure Pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the Adverse Outcome Pathway (AOP) concept in the toxicological sciences. Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more efficient integration of exposure assessment and hazard identification. Together, the two pathways form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making. PMID:26759916

Completing the link between exposure science and toxicology for improved environmental health decision making: The aggregate exposure pathway framework

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

Teeguarden, Justin G.; Tan, Yu -Mei; Edwards, Stephen W.

Here, driven by major scientific advances in analytical methods, biomonitoring, computation, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the “systems approaches” used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) concept in the toxicological sciences.more » Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more meaningful integration of exposure assessment and hazard identification. Together, the two frameworks form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making.« less

Completing the link between exposure science and toxicology for improved environmental health decision making: The aggregate exposure pathway framework

DOE PAGES

Teeguarden, Justin G.; Tan, Yu -Mei; Edwards, Stephen W.; ...

2016-01-13

Here, driven by major scientific advances in analytical methods, biomonitoring, computation, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the “systems approaches” used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) concept in the toxicological sciences.more » Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more meaningful integration of exposure assessment and hazard identification. Together, the two frameworks form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making.« less

Role Of Synchrotron Techniques In USEPA Regulatory And Remediation Decisions

EPA Science Inventory

Science provides the foundation for credible decision making. Science is observation followed by an interpretation and understanding of the result of the measurement. Observations may not be correct, complete, or fully descriptive of the phenomena. Interpretation based on avai...

How do small groups make decisions? : A theoretical framework to inform the implementation and study of clinical competency committees.

PubMed

Chahine, Saad; Cristancho, Sayra; Padgett, Jessica; Lingard, Lorelei

2017-06-01

In the competency-based medical education (CBME) approach, clinical competency committees are responsible for making decisions about trainees' competence. However, we currently lack a theoretical model for group decision-making to inform this emerging assessment phenomenon. This paper proposes an organizing framework to study and guide the decision-making processes of clinical competency committees.This is an explanatory, non-exhaustive review, tailored to identify relevant theoretical and evidence-based papers related to small group decision-making. The search was conducted using Google Scholar, Web of Science, MEDLINE, ERIC, and PsycINFO for relevant literature. Using a thematic analysis, two researchers (SC & JP) met four times between April-June 2016 to consolidate the literature included in this review.Three theoretical orientations towards group decision-making emerged from the review: schema, constructivist, and social influence. Schema orientations focus on how groups use algorithms for decision-making. Constructivist orientations focus on how groups construct their shared understanding. Social influence orientations focus on how individual members influence the group's perspective on a decision. Moderators of decision-making relevant to all orientations include: guidelines, stressors, authority, and leadership.Clinical competency committees are the mechanisms by which groups of clinicians will be in charge of interpreting multiple assessment data points and coming to a shared decision about trainee competence. The way in which these committees make decisions can have huge implications for trainee progression and, ultimately, patient care. Therefore, there is a pressing need to build the science of how such group decision-making works in practice. This synthesis suggests a preliminary organizing framework that can be used in the implementation and study of clinical competency committees.

Neuroeconomics: The neurobiology of value-based decision-making

PubMed Central

Rangel, Antonio; Camerer, Colin; Montague, P. Read

2015-01-01

Neuroeconomics studies the neurobiological and computational basis of value-based decision-making. Its goal is to provide a biologically-based account of human behavior that can be applied in both the natural and the social sciences. In this review we propose a framework for thinking about decision-making that allows us to bring together recent findings in the field, highlight some of the most important outstanding problems, define a common lexicon that bridges the different disciplines that inform neuroeconomics, and point the way to future applications. PMID:18545266

Redefining roles of science in planning and management: ecology as a planning and management tool

Treesearch

Greg Mason; Stephen Murphy

2002-01-01

Science as a way of knowing has great value to decision-making but there is need to consider all its attributes and assess how science ought to be informing decision-making. Consideration of the critiques of science can make science stronger and more useful to decision-making in an environmental and ecological context. Scientists, planners, and managers need to...

Preservice Elementary Teachers' Adaptation of Science Curriculum Materials for Inquiry-Based Elementary Science

ERIC Educational Resources Information Center

Forbes, Cory T.

2011-01-01

Curriculum materials are important resources with which teachers make pedagogical decisions about the design of science learning environments. To become well-started beginning elementary teachers capable of engaging their students in inquiry-based science, preservice elementary teachers need to learn to use science curriculum materials…

Integrating land cover modeling and adaptive management to conserve endangered species and reduce catastrophic fire risk

USGS Publications Warehouse

Breininger, David; Duncan, Brean; Eaton, Mitchell J.; Johnson, Fred; Nichols, James

2014-01-01

Land cover modeling is used to inform land management, but most often via a two-step process, where science informs how management alternatives can influence resources, and then, decision makers can use this information to make decisions. A more efficient process is to directly integrate science and decision-making, where science allows us to learn in order to better accomplish management objectives and is developed to address specific decisions. Co-development of management and science is especially productive when decisions are complicated by multiple objectives and impeded by uncertainty. Multiple objectives can be met by the specification of tradeoffs, and relevant uncertainty can be addressed through targeted science (i.e., models and monitoring). We describe how to integrate habitat and fuel monitoring with decision-making focused on the dual objectives of managing for endangered species and minimizing catastrophic fire risk. Under certain conditions, both objectives might be achieved by a similar management policy; other conditions require tradeoffs between objectives. Knowledge about system responses to actions can be informed by developing hypotheses based on ideas about fire behavior and then applying competing management actions to different land units in the same system state. Monitoring and management integration is important to optimize state-specific management decisions and to increase knowledge about system responses. We believe this approach has broad utility and identifies a clear role for land cover modeling programs intended to inform decision-making.

Field and Experience Influences on Ethical Decision-Making in the Sciences

PubMed Central

Mumford, Michael D.; Connelly, Shane; Murphy, Stephen T.; Devenport, Lynn D.; Antes, Alison L.; Brown, Ryan P.; Hill, Jason H.; Waples, Ethan P.

2009-01-01

Differences across fields and experience levels are frequently considered in discussions of ethical decision-making and ethical behavior. In the present study, doctoral students in the health, biological, and social sciences completed measures of ethical decision-making. The effects of field and level of experience with respect to ethical decision-making, metacognitive reasoning strategies, social-behavioral responses, and exposure to unethical events were examined. Social and biological scientists performed better than health scientists with respect to ethical decision-making. Furthermore, the ethical decision-making of health science students decreased as experience increased. Moreover, these effects appeared to be linked to the specific strategies underlying participants' ethical decision-making. The implications of these findings for ethical decision-making are discussed. PMID:19750129

Cognitive science contributions to decision science.

PubMed

Busemeyer, Jerome R

2015-02-01

This article briefly reviews the history and interplay between decision theory, behavioral decision-making research, and cognitive psychology. The review reveals the increasingly important impact that psychology and cognitive science have on decision science. One of the main contributions of cognitive science to decision science is the development of dynamic models that describe the cognitive processes that underlay the evolution of preferences during deliberation phase of making a decision. Copyright © 2014 Elsevier B.V. All rights reserved.

Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare.

PubMed

Dolan, James G

2010-01-01

Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers.Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine "hard data" with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings.The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP).

Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare

PubMed Central

Dolan, James G.

2010-01-01

Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers. Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine “hard data” with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings. The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP) PMID:21394218

Making the Connection between Environmental Science and Decision Making

NASA Astrophysics Data System (ADS)

Woodhouse, C. A.; Crimmins, M.; Ferguson, D. B.; Garfin, G. M.; Scott, C. A.

2011-12-01

As society is confronted with population growth, limited resources, and the impacts of climate variability and change, it is vital that institutions of higher education promote the development of professionals who can work with decision-makers to incorporate scientific information into environmental planning and management. Skills for the communication of science are essential, but equally important is the ability to understand decision-making contexts and engage with resource managers and policy makers. It is increasingly being recognized that people who understand the linkages between science and decision making are crucial if science is to better support planning and policy. A new graduate-level seminar, "Making the Connection between Environmental Science and Decision Making," is a core course for a new post-baccalaureate certificate program, Connecting Environmental Science and Decision Making at the University of Arizona. The goal of the course is to provide students with a basic understanding of the dynamics between scientists and decision makers that result in scientific information being incorporated into environmental planning, policy, and management decisions. Through readings from the environmental and social sciences, policy, and planning literature, the course explores concepts including scientific information supply and demand, boundary organizations, co-production of knowledge, platforms for engagement, and knowledge networks. Visiting speakers help students understand some of the challenges of incorporating scientific information into planning and decision making within institutional and political contexts. The course also includes practical aspects of two-way communication via written, oral, and graphical presentations as well as through the interview process to facilitate the transfer of scientific information to decision makers as well as to broader audiences. We aspire to help students develop techniques that improve communication and understanding between scientists and decision-makers, leading to enhanced outcomes in the fields of climate science, water resources, and ecosystem services.

Rationality, emotions and ethics: Towards better environmental decision making

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

Andrews, W.J.

1995-12-31

A common view among rationally-oriented individuals is that environmental decision-making would be better if it were based more on science and less on emotion. This is too simplistic. Science alone is not wisdom. The best decisions come from the integration of rationality, emotion and ethics. Each of us makes each decision on the basis of a unique, personal combination of these factors. Yet, typically man is unbalanced, valuing only one of these factors and even denigrating one or both of the others. This is at the root of the personal and social inability to live in harmony with oneself andmore » with nature. The highest forms of each of these factors truth (rationality), love (emotions) and goodness (ethics) are different ways of expressing the same thing. Only by allowing oneself to integrate and honor each of these factors in both individual and social decision-making will one improve environmental decisions. An example in the area of social decision-making is the need for much more innovative mechanisms for public participation.« less

Making the Most of Ourselves

ERIC Educational Resources Information Center

Groombridge, Brian

2008-01-01

Foresight reports are meant to help "decision-makers" understand the possible future effects of their decisions. "Visions of the future", based on "robust science", should be used by policymakers "to inform government policy and strategy, and to improve how science and technology are used within government and by society". They are also intended…

Adults' Decision-Making about the Electronic Waste Issue: The Role of the Nature of Science Conceptualizations and Moral Concerns in Socio-Scientific Decision-Making

ERIC Educational Resources Information Center

Yu, Yuqing

2010-01-01

Socio-scientific issues have become increasingly important in Science-Technology-Society (STS) education as a means to make science learning more relevant to students' lives. This study used the e-waste issue as a context to investigate two aspects of socio-scientific decision-making: (1) the relationship between the nature of science (NOS)…

Deliberative Pedagogy in a Nonmajors Biology Course: Active Learning That Promotes Student Engagement with Science Policy and Research

ERIC Educational Resources Information Center

Weasel, Lisa H.; Finkel, Liza

2016-01-01

Deliberative democracy, a consensus model of decision making, has been used in real-life policy making involving controversial, science-related issues to increase citizen participation and engagement. Here, we describe a pedagogical approach based on this model implemented in a large, lecture-based, nonmajors introductory biology course at an…

A conceptual framework for understanding the perspectives on the causes of the science-practice gap in ecology and conservation.

PubMed

Bertuol-Garcia, Diana; Morsello, Carla; N El-Hani, Charbel; Pardini, Renata

2018-05-01

Applying scientific knowledge to confront societal challenges is a difficult task, an issue known as the science-practice gap. In Ecology and Conservation, scientific evidence has been seldom used directly to support decision-making, despite calls for an increasing role of ecological science in developing solutions for a sustainable future. To date, multiple causes of the science-practice gap and diverse approaches to link science and practice in Ecology and Conservation have been proposed. To foster a transparent debate and broaden our understanding of the difficulties of using scientific knowledge, we reviewed the perceived causes of the science-practice gap, aiming to: (i) identify the perspectives of ecologists and conservation scientists on this problem, (ii) evaluate the predominance of these perspectives over time and across journals, and (iii) assess them in light of disciplines studying the role of science in decision-making. We based our review on 1563 sentences describing causes of the science-practice gap extracted from 122 articles and on discussions with eight scientists on how to classify these sentences. The resulting process-based framework describes three distinct perspectives on the relevant processes, knowledge and actors in the science-practice interface. The most common perspective assumes only scientific knowledge should support practice, perceiving a one-way knowledge flow from science to practice and recognizing flaws in knowledge generation, communication, and/or use. The second assumes that both scientists and decision-makers should contribute to support practice, perceiving a two-way knowledge flow between science and practice through joint knowledge-production/integration processes, which, for several reasons, are perceived to occur infrequently. The last perspective was very rare, and assumes scientists should put their results into practice, but they rarely do. Some causes (e.g. cultural differences between scientists and decision-makers) are shared with other disciplines, while others seem specific to Ecology and Conservation (e.g. inadequate research scales). All identified causes require one of three general types of solutions, depending on whether the causal factor can (e.g. inadequate research questions) or cannot (e.g. scientific uncertainty) be changed, or if misconceptions (e.g. undervaluing abstract knowledge) should be solved. The unchanged predominance of the one-way perspective over time may be associated with the prestige of evidence-based conservation and suggests that debates in Ecology and Conservation lag behind trends in other disciplines towards bidirectional views ascribing larger roles to decision-makers. In turn, the two-way perspective seems primarily restricted to research traditions historically isolated from mainstream conservation biology. All perspectives represented superficial views of decision-making by not accounting for limits to human rationality, complexity of decision-making contexts, fuzzy science-practice boundaries, ambiguity brought about by science, and different types of knowledge use. However, joint knowledge-production processes from the two-way perspective can potentially allow for democratic decision-making processes, explicit discussions of values and multiple types of science use. To broaden our understanding of the interface and foster productive science-practice linkages, we argue for dialogue among different research traditions within Ecology and Conservation, joint knowledge-production processes between scientists and decision-makers and interdisciplinarity across Ecology, Conservation and Political Science in both research and education. © 2017 Cambridge Philosophical Society.

Completing the Link between Exposure Science and Toxicology for Improved Environmental Health Decision Making: The Aggregate Exposure Pathway Framework

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

Teeguarden, Justin G.; Tan, Yu-Mei; Edwards, Stephen W.

Driven by major scientific advances in analytical methods, biomonitoring, and computational exposure assessment, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the computationally enabled “systems approaches” used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) conceptmore » in the toxicological sciences. The AEP framework offers an intuitive approach to successful organization of exposure science data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathway and adverse outcome pathways, completing the source to outcome continuum and setting the stage for more efficient integration of exposure science and toxicity testing information. Together these frameworks form and inform a decision making framework with the flexibility for risk-based, hazard-based or exposure-based decisions.« less

An Innovative Spreadsheet Application to Teach Management Science Decision Criteria

ERIC Educational Resources Information Center

Hozak, Kurt

2018-01-01

This article describes a Microsoft Excel-based application that uses humorous voice synthesis and timed competition to make it more fun and engaging to learn management science decision criteria. In addition to providing immediate feedback and easily customizable tips that facilitate self-learning, the software randomly generates both the problem…

Science Teacher Decision-Making in a Climate of Heightened Accountability: A Rhizomatic Case Study Analysis of Two Science Departments in New York City

NASA Astrophysics Data System (ADS)

Purohit, Kiran Dilip

Secondary science teachers make many daily decisions in the enactment of curriculum. Although curriculum materials are widely available to address science content, practices, and skills, the consideration that goes into deciding how and whether to use such materials is complicated by teachers' beliefs about science, their understandings of school-level accountability and testing measures, and their perspectives on the adolescent students they teach. This study addresses the need to understand how teachers consider multiple forces in their enactment of science curriculum. The purpose of this study was to explore the ways that discourses around accountability, science, and science education emerge in the narratives around teachers' decision-making in secondary science classrooms. Using a case study approach, I worked at two school sites with two pairs of science teachers. We established criteria for critical incidents together, then teachers identified critical decision-making moments in their classrooms. We analyzed those incidents together using a consultancy protocol, allowing teachers to focus their thinking on reframing the incidents and imagining other possible outcomes. Using post-structuralist rhizomatics, I assembled analyses of teachers' discussions of the critical incidents in the form of dramatization--scenes and monologues. I then developed two major interpretive strands. First, I connected teachers' sense of having "no time" to blocs of affect tied to larger discourses of national security, teacher accountability, and the joy of scientific discovery. Second, I demonstrated how teachers' concern in following logical pathways and sequences in science relates to the imposition of accountability measures that echo the outcomes-driven logic of the learning sciences. Across both interpretations, I found accountability to be complex, multidirectional, and unpredictable in how it works on and through teachers as they make decisions. Research in this area has important practical implications in the fields of professional development, curriculum development, and school change. As more states (including New York) adopt standards derived from the Next Generation Science Standards (NGSS), the importance of privileging teachers' investment and critical decision-making in the process of new curriculum development is vital. I suggest that tools like video-based coaching and consultancy protocol discussions support this kind of thoughtful curricular change.

77 FR 1932 - Notification of a Public Teleconference of the Science Advisory Board Committee on Science...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-12

... a draft report based on fact-finding activities conducted as part of a study of science integration... Science Advisory Board Committee on Science Integration for Decision Making AGENCY: Environmental Protection Agency (EPA). ACTION: Notice. SUMMARY: The Environmental Protection Agency (EPA or Agency) Science...

Emotion-affected decision making in human simulation.

PubMed

Zhao, Y; Kang, J; Wright, D K

2006-01-01

Human modelling is an interdisciplinary research field. The topic, emotion-affected decision making, was originally a cognitive psychology issue, but is now recognized as an important research direction for both computer science and biomedical modelling. The main aim of this paper is to attempt to bridge the gap between psychology and bioengineering in emotion-affected decision making. The work is based on Ortony's theory of emotions and bounded rationality theory, and attempts to connect the emotion process with decision making. A computational emotion model is proposed, and the initial framework of this model in virtual human simulation within the platform of Virtools is presented.

Not a Humbug: the evolution of patient-centred medical decision-making.

PubMed

Trump, Benjamin D; Linkov, Faina; Edwards, Robert P; Linkov, Igor

2015-12-01

This 'Christmas Issue'-type paper uses the framework of 'A Christmas Carol' to tell about the evolution of decision-making in evidence-based medicine (EBM). The Ghost of the Past represents paternalistic medicine, the Ghost of the Present symbolises EBM, while the Ghost of the Future serves as a patient-centred system where research data and tools of decision science are jointly used to make optimal medical decisions for individual patients. We argue that this shift towards a patient-centred approach to EBM and medical care is the next step in the evolution of medical decision-making, which would help to empower patients with the capability to make educated decisions throughout the course of their medical treatment.

Integrating environmental monitoring with cumulative effects management and decision making.

PubMed

Cronmiller, Joshua G; Noble, Bram F

2018-05-01

Cumulative effects (CE) monitoring is foundational to emerging regional and watershed CE management frameworks, yet monitoring is often poorly integrated with CE management and decision-making processes. The challenges are largely institutional and organizational, more so than scientific or technical. Calls for improved integration of monitoring with CE management and decision making are not new, but there has been limited research on how best to integrate environmental monitoring programs to ensure credible CE science and to deliver results that respond to the more immediate questions and needs of regulatory decision makers. This paper examines options for the integration of environmental monitoring with CE frameworks. Based on semistructured interviews with practitioners, regulators, and other experts in the Lower Athabasca, Alberta, Canada, 3 approaches to monitoring system design are presented. First, a distributed monitoring system, reflecting the current approach in the Lower Athabasca, where monitoring is delegated to different external programs and organizations; second, a 1-window system in which monitoring is undertaken by a single, in-house agency for the purpose of informing management and regulatory decision making; third, an independent system driven primarily by CE science and understanding causal relationships, with knowledge adopted for decision support where relevant to specific management questions. The strengths and limitations of each approach are presented. A hybrid approach may be optimal-an independent, nongovernment, 1-window model for CE science, monitoring, and information delivery-capitalizing on the strengths of distributed, 1-window, and independent monitoring systems while mitigating their weaknesses. If governments are committed to solving CE problems, they must invest in the long-term science needed to do so; at the same time, if science-based monitoring programs are to be sustainable over the long term, they must be responsive to the more immediate, often shorter term needs and CE information requirements of decision makers. Integr Environ Assess Manag 2018;14:407-417. © 2018 SETAC. © 2018 SETAC.

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

PubMed

Constantinou, Anthony Costa; Yet, Barbaros; Fenton, Norman; Neil, Martin; Marsh, William

2016-01-01

Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model, and whether it would be worthwhile for the decision maker to seek further information prior to suggesting a decision. The method is based on the underlying principle of Value of Information to enhance decision analysis in interventional and counterfactual Bayesian networks. The method is applied to two real-world Bayesian network models (previously developed for decision support in forensic medical sciences) to examine the average gain in terms of both Value of Information (average relative gain ranging from 11.45% and 59.91%) and decision making (potential amendments in decision making ranging from 0% to 86.8%). We have shown how the method becomes useful for decision makers, not only when decision making is subject to amendments on the basis of some unknown risk factors, but also when it is not. Knowing that a decision outcome is independent of one or more unknown risk factors saves us from the trouble of seeking information about the particular set of risk factors. Further, we have also extended the assessment of this implication to the counterfactual case and demonstrated how answers about interventional actions are expected to change when some unknown factors become known, and how useful this becomes in forensic medical science. Copyright © 2015 Elsevier B.V. All rights reserved.

[Evidence-based medicine - the current self-reflection of an individualised approach to medicine as an action science].

PubMed

Behrens, Johann

2010-01-01

Evidence-based Medicine (EbM) is the ongoing self-reflection of an individualised approach to medicine in terms of a science that originates from and focuses on clinical decision-making (pragmatic science="Handlungswissenschaft"). EbM is particularly suitable for self-reflecting individualised medicine on the basis of decision-oriented pragmatic science because it consistently distinguishes between external evidence (i.e., other subjects' experience gained through "qualitative" and "quantitative" scientific methods) and internal evidence, i.e., the individual user's, or patient's, own experience manifesting and developing in the individual contact between therapist and patient. Therefore, internal evidence is completely different from the individual clinical experience, expertise, and conviction which therapists contribute to the encounter with clients. A deeper understanding of internal evidence as a result of this encounter has emerged only in the past 15 years. However, it is an integral part of the logic of evidence-based professional decision-making. Scientifically justified beneficial and effective treatment in the individual case cannot be deduced from external evidence but can only be gathered from internal evidence for which the best external evidence available has been utilised. In the past 15 years nursing science has not only carved out the decision-oriented scientific core of evidence-based practice but has also tried to increase the validity of studies on external evidence by employing a combination of 'qualitative' social science studies and clinical epidemiological methods. Copyright © 2010. Published by Elsevier GmbH.

Decision Making, Models of Mind, and the New Cognitive Science.

ERIC Educational Resources Information Center

Evers, Colin W.

1998-01-01

Explores implications for understanding educational decision making from a cognitive science perspective. Examines three models of mind providing the methodological framework for decision-making studies. The "absent mind" embodies the behaviorist research tradition. The "functionalist mind" underwrites traditional cognitivism…

Relevance of behavioral and social models to the study of consumer energy decision making and behavior

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

Burns, B.A.

This report reviews social and behavioral science models and techniques for their possible use in understanding and predicting consumer energy decision making and behaviors. A number of models and techniques have been developed that address different aspects of the decision process, use different theoretical bases and approaches, and have been aimed at different audiences. Three major areas of discussion were selected: (1) models of adaptation to social change, (2) decision making and choice, and (3) diffusion of innovation. Within these three areas, the contributions of psychologists, sociologists, economists, marketing researchers, and others were reviewed. Five primary components of the modelsmore » were identified and compared. The components are: (1) situational characteristics, (2) product characteristics, (3) individual characteristics, (4) social influences, and (5) the interaction or decision rules. The explicit use of behavioral and social science models in energy decision-making and behavior studies has been limited. Examples are given of a small number of energy studies which applied and tested existing models in studying the adoption of energy conservation behaviors and technologies, and solar technology.« less

Balancing emotion and cognition: a case for decision aiding in conservation efforts.

PubMed

Wilson, Robyn S

2008-12-01

Despite advances in the quality of participatory decision making for conservation, many current efforts still suffer from an inability to bridge the gap between science and policy. Judgment and decision-making research suggests this gap may result from a person's reliance on affect-based shortcuts in complex decision contexts. I examined the results from 3 experiments that demonstrate how affect (i.e., the instantaneous reaction one has to a stimulus) influences individual judgments in these contexts and identified techniques from the decision-aiding literature that help encourage a balance between affect-based emotion and cognition in complex decision processes. In the first study, subjects displayed a lack of focus on their stated conservation objectives and made decisions that reflected their initial affective impressions. Value-focused approaches may help individuals incorporate all the decision-relevant objectives by making the technical and value-based objectives more salient. In the second study, subjects displayed a lack of focus on statistical risk and again made affect-based decisions. Trade-off techniques may help individuals incorporate relevant technical data, even when it conflicts with their initial affective impressions or other value-based objectives. In the third study, subjects displayed a lack of trust in decision-making authorities when the decision involved a negatively affect-rich outcome (i.e., a loss). Identifying shared salient values and increasing procedural fairness may help build social trust in both decision-making authorities and the decision process.

Decision-making based on emotional images.

PubMed

Katahira, Kentaro; Fujimura, Tomomi; Okanoya, Kazuo; Okada, Masato

2011-01-01

The emotional outcome of a choice affects subsequent decision making. While the relationship between decision making and emotion has attracted attention, studies on emotion and decision making have been independently developed. In this study, we investigated how the emotional valence of pictures, which was stochastically contingent on participants' choices, influenced subsequent decision making. In contrast to traditional value-based decision-making studies that used money or food as a reward, the "reward value" of the decision outcome, which guided the update of value for each choice, is unknown beforehand. To estimate the reward value of emotional pictures from participants' choice data, we used reinforcement learning models that have successfully been used in previous studies for modeling value-based decision making. Consequently, we found that the estimated reward value was asymmetric between positive and negative pictures. The negative reward value of negative pictures (relative to neutral pictures) was larger in magnitude than the positive reward value of positive pictures. This asymmetry was not observed in valence for an individual picture, which was rated by the participants regarding the emotion experienced upon viewing it. These results suggest that there may be a difference between experienced emotion and the effect of the experienced emotion on subsequent behavior. Our experimental and computational paradigm provides a novel way for quantifying how and what aspects of emotional events affect human behavior. The present study is a first step toward relating a large amount of knowledge in emotion science and in taking computational approaches to value-based decision making.

Metaphorical Roots of Beliefs about Teaching and Learning Science and Their Modifications in the Standard-Based Science Teacher Preparation Programme

ERIC Educational Resources Information Center

Buaraphan, Khajornsak

2011-01-01

Beliefs are psychological constructs potentially driving a teacher to make pedagogical decisions and act. In this study, the metaphor construction task (MCT) was utilised to uncover beliefs about teaching and learning science held by 110 pre-service science teachers participating in the standard-based teacher preparation programme. Overall, the…

Conditions for quantum interference in cognitive sciences.

PubMed

Yukalov, Vyacheslav I; Sornette, Didier

2014-01-01

We present a general classification of the conditions under which cognitive science, concerned, e.g. with decision making, requires the use of quantum theoretical notions. The analysis is done in the frame of the mathematical approach based on the theory of quantum measurements. We stress that quantum effects in cognition can arise only when decisions are made under uncertainty. Conditions for the appearance of quantum interference in cognitive sciences and the conditions when interference cannot arise are formulated. Copyright © 2013 Cognitive Science Society, Inc.

Policy-Led Comparative Environmental Risk Assessment of Genetically Modified Crops: Testing for Increased Risk Rather Than Profiling Phenotypes Leads to Predictable and Transparent Decision-Making

PubMed Central

Raybould, Alan; Macdonald, Phil

2018-01-01

We describe two contrasting methods of comparative environmental risk assessment for genetically modified (GM) crops. Both are science-based, in the sense that they use science to help make decisions, but they differ in the relationship between science and policy. Policy-led comparative risk assessment begins by defining what would be regarded as unacceptable changes when the use a particular GM crop replaces an accepted use of another crop. Hypotheses that these changes will not occur are tested using existing or new data, and corroboration or falsification of the hypotheses is used to inform decision-making. Science-led comparative risk assessment, on the other hand, tends to test null hypotheses of no difference between a GM crop and a comparator. The variables that are compared may have little or no relevance to any previously stated policy objective and hence decision-making tends to be ad hoc in response to possibly spurious statistical significance. We argue that policy-led comparative risk assessment is the far more effective method. With this in mind, we caution that phenotypic profiling of GM crops, particularly with omics methods, is potentially detrimental to risk assessment. PMID:29755975

Science for decision making: Transmitting hazard science using catastrophic scenarios

NASA Astrophysics Data System (ADS)

Wein, A.

2010-12-01

The ShakeOut and ARkStorm scenarios are scientifically-based, multi-disciplinary efforts to describe the damages and consequences of large, but plausible, natural disasters for use in emergency management and other planning. The ShakeOut earthquake scenario, completed in 2008, posits the occurrence of a major earthquake on the southern San Andreas Fault. It was used by more than 5,000 emergency personnel in a California statewide exercise, and it underpins the Federal Emergency Management Agency’s (FEMA) Catastrophic Plan for Southern California. The ARkStorm winter storm scenario, to be completed in 2010, posits the occurrence of a statewide disaster like the storm that occurred during 1861-1862. The ARkStorm scenario will culminate with two planning summits comprised of federal and state agencies, because such an event would exceed local response and recovery capabilities. This talk will address the following questions that are critical to transmitting science for decision making with examples and observations from the two scenarios: 1) Who are the end users of the scenarios, what types of decisions can scenarios inform, and how are stakeholders engaged? 2) What forms of information and processes work best to communicate and apply the hazard science? 3) What are the challenges of using science in decision making? 4) What future directions shall we pursue? From my perspective as coordinator of economic consequences analyses for the two scenarios, I will share insights to these questions. Framing stakeholder decisions in terms of scale (e.g., household to State) and disaster phase (e.g., emergency response, recovery, and mitigation) allows us to align methods of stakeholder engagement with stakeholder decision making. For these regional-scale scenarios, the methods of engagement included stakeholder participation in project vision, scenario construction workshops, presentations, conferences, and emergency response and recovery exercises. Champions (self-motivated individuals who took on leadership roles in their communities or industrial sectors), customized and localized analyses, and workshops enhanced the use of hazard science. Examples from the two scenarios will be used to illustrate these points. We experienced several significant challenges in using science to enhance emergency management exercises and community decision making. Some of these challenges include 1) adapting scientific results to exercise format; 2) the special needs of recovery exercises, which can mimic response exercises only with limited success, because recovery is tactical while response is strategic; 3) staff turnover; and 4) limited resources. An important future direction will be to leverage our in-depth knowledge of scenarios, multi-disciplinary network, and stakeholder relations to integrate knowledge about multiple hazards to better inform risk-based decision making for all hazards.

Beyond evidence-based nursing: tools for practice.

PubMed

Jutel, Annemarie

2008-05-01

This commentary shares my views of evidence-based nursing as a framework for practice, pointing out its limitations and identifying a wider base of appraisal tools required for making good clinical decisions. As the principles of evidence-based nursing take an increasingly greater hold on nursing education, policy and management, it is important to consider the range of other decision-making tools which are subordinated by this approach. This article summarizes nursing's simultaneous reliance on and critique of evidence-based practice (EBP) in a context of inadequate critical reasoning. It then provides an exemplar of the limitations of evidence-based practice and offers an alternative view of important precepts of decision-making. I identify means by which nurses can develop skills to engage in informed and robust critique of practices and their underpinning rationale. Nurses need to be able to locate and assess useful and reliable information for decision-making. This skill is based on a range of tools which include, but also go beyond EBP including: information literacy, humanities, social sciences, public health, statistics, marketing, ethics and much more. This essay prompts nursing managers to reflect upon whether a flurried enthusiasm to adopt EBP neglects other important decision-making skills which provide an even stronger foundation for robust nursing decisions.

Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges.

PubMed

Klabunde, Anna; Willekens, Frans

We review agent-based models (ABM) of human migration with respect to their decision-making rules. The most prominent behavioural theories used as decision rules are the random utility theory, as implemented in the discrete choice model, and the theory of planned behaviour. We identify the critical choices that must be made in developing an ABM, namely the modelling of decision processes and social networks. We also discuss two challenges that hamper the widespread use of ABM in the study of migration and, more broadly, demography and the social sciences: (a) the choice and the operationalisation of a behavioural theory (decision-making and social interaction) and (b) the selection of empirical evidence to validate the model. We offer advice on how these challenges might be overcome.

The National Aeronautics and Space Administration's Earth Science Applications Program: Exploring Partnerships to Enhance Decision Making in Public Health Practice

NASA Technical Reports Server (NTRS)

Vann, Timi S.; Venezia, Robert A.

2002-01-01

The National Aeronautics and Space Administration (NASA), Earth Science Enterprise is engaged in applications of NASA Earth science and remote sensing technologies for public health. Efforts are focused on establishing partnerships with those agencies and organizations that have responsibility for protecting the Nation's Health. The program's goal is the integration of NASA's advanced data and technology for enhanced decision support in the areas of disease surveillance and environmental health. A focused applications program, based on understanding partner issues and requirements, has the potential to significantly contribute to more informed decision making in public health practice. This paper intends to provide background information on NASA's investment in public health and is a call for partnership with the larger practice community.

The Technology of Evidence-Based Practice: Tools for Navigating the Health Sciences Literature

ERIC Educational Resources Information Center

Townsend, Whitney

2011-01-01

Medical and health sciences libraries have incorporated the elements of evidence-based practice (EBP) into their reference services, instruction, and online resource development for years. While EBP focuses on the use of medical and health sciences literature in the clinical environment (i.e., making decisions about how to treat a particular…

Managerial Accounting in Library and Information Science Education.

ERIC Educational Resources Information Center

Hayes, Robert M.

1983-01-01

Explores meaning of managerial accounting in libraries and discusses instructional program for students of library and information science based on experience in School of Library and Information Science at University of California, Los Angeles. Management decision making (budgeting, performance evaluation, overhead, resource allocation,…

Achieving conservation science that bridges the knowledge-action boundary.

PubMed

Cook, Carly N; Mascia, Michael B; Schwartz, Mark W; Possingham, Hugh P; Fuller, Richard A

2013-08-01

There are many barriers to using science to inform conservation policy and practice. Conservation scientists wishing to produce management-relevant science must balance this goal with the imperative of demonstrating novelty and rigor in their science. Decision makers seeking to make evidence-based decisions must balance a desire for knowledge with the need to act despite uncertainty. Generating science that will effectively inform management decisions requires that the production of information (the components of knowledge) be salient (relevant and timely), credible (authoritative, believable, and trusted), and legitimate (developed via a process that considers the values and perspectives of all relevant actors) in the eyes of both researchers and decision makers. We perceive 3 key challenges for those hoping to generate conservation science that achieves all 3 of these information characteristics. First, scientific and management audiences can have contrasting perceptions about the salience of research. Second, the pursuit of scientific credibility can come at the cost of salience and legitimacy in the eyes of decision makers, and, third, different actors can have conflicting views about what constitutes legitimate information. We highlight 4 institutional frameworks that can facilitate science that will inform management: boundary organizations (environmental organizations that span the boundary between science and management), research scientists embedded in resource management agencies, formal links between decision makers and scientists at research-focused institutions, and training programs for conservation professionals. Although these are not the only approaches to generating boundary-spanning science, nor are they mutually exclusive, they provide mechanisms for promoting communication, translation, and mediation across the knowledge-action boundary. We believe that despite the challenges, conservation science should strive to be a boundary science, which both advances scientific understanding and contributes to decision making. © 2013 Society for Conservation Biology.

The Value of Fidelity of Implementation Criteria to Evaluate School-Based Science Curriculum Innovations

ERIC Educational Resources Information Center

Lee, Yew-Jin; Chue, Shien

2013-01-01

School-based curriculum innovations, including those in science education, are usually not adequately evaluated, if at all. Furthermore, current procedures and instruments for programme evaluations are often unable to support evidence-based decision-making. We suggest that adopting fidelity of implementation (FOI) criteria from healthcare research…

Science informed water resources decision-making: Examples using remote sensing observations in East Africa, the Lower Mekong Basin and the western United States

NASA Astrophysics Data System (ADS)

Granger, S. L.; Andreadis, K.; Das, N.; Farr, T. G.; Ines, A. V. M.; Jayasinghe, S.; Jones, C. E.; Melton, F. S.; Ndungu, L. W.; Lai-Norling, J.; Painter, T. H.

2017-12-01

Across the globe, planners and decision makers are often hampered by organizational and data silos and/or a lack of historic data or scant in situ observations on which to base policy and action plans. The end result is a complex interaction of responsibilities, legal frameworks, and stakeholder needs guided by uncertain information that is essentially bounded by how climate extremes are defined and characterized. Because of the importance of water, considerable resources in the developing and developed world are invested in data and tools for managing water. However, the existing paradigm of water management around the world faces significant challenges including inadequate funding to install, maintain or upgrade monitoring networks, lack of resources to integrate new science and data sources into existing tools, and demands for improved spatial coverage of observations. Add to this, a changing hydrology that is so complex it requires measurements and analyses that have never been done before. Interest in applying remote sensing science and observations into the decision making process is growing the world over, but in order to succeed, it is essential to form partnerships with stakeholder organizations and decision makers at the outset. In this talk, we describe examples of succesful decision-maker and science partnering based on projects that apply remote sensing science and observations in East Africa and the Lower Mekong Basin supported by the SERVIR Initiative, a joint United States Agency for International Development (USAID) and National Aeronautics and Space Administration (NASA) program, and projects in the western United States supported by NASA's Jet Propulsion Laboratory and the Western Water Applications Office (WWAO). All of these examples have benefitted from strong, committed partnerships with end user agencies. Best practices and lessons learned in connecting science to decision making amongst these examples are explored.

Integrating Agriculture and Conservation

USGS Publications Warehouse

Vandever, Mark W.

2010-01-01

The USGS produces the needed science-based information to guide management actions and policy decisions that support wildlife habitat and other environmental services compatible with USDA conservation goals and farm operations. The Policy Analysis and Science Assistance Branch of the Fort Collins Science Center (FORT) has conducted research involving a national landowner survey and numerous short- and long-term evaluations regarding vegetation responses to land management practices. This research helps land and resource managers to make informed decisions and resolve resource management conflicts.

Review of experimental studies in social psychology of small groups when an optimal choice exists and application to operating room management decision-making.

PubMed

Prahl, Andrew; Dexter, Franklin; Braun, Michael T; Van Swol, Lyn

2013-11-01

Because operating room (OR) management decisions with optimal choices are made with ubiquitous biases, decisions are improved with decision-support systems. We reviewed experimental social-psychology studies to explore what an OR leader can do when working with stakeholders lacking interest in learning the OR management science but expressing opinions about decisions, nonetheless. We considered shared information to include the rules-of-thumb (heuristics) that make intuitive sense and often seem "close enough" (e.g., staffing is planned based on the average workload). We considered unshared information to include the relevant mathematics (e.g., staffing calculations). Multiple studies have shown that group discussions focus more on shared than unshared information. Quality decisions are more likely when all group participants share knowledge (e.g., have taken a course in OR management science). Several biases in OR management are caused by humans' limited abilities to estimate tails of probability distributions in their heads. Groups are more susceptible to analogous biases than are educated individuals. Since optimal solutions are not demonstrable without groups sharing common language, only with education of most group members can a knowledgeable individual influence the group. The appropriate model of decision-making is autocratic, with information obtained from stakeholders. Although such decisions are good quality, the leaders often are disliked and the decisions considered unjust. In conclusion, leaders will find the most success if they do not bring OR management operational decisions to groups, but instead act autocratically while obtaining necessary information in 1:1 conversations. The only known route for the leader making such decisions to be considered likable and for the decisions to be considered fair is through colleagues and subordinates learning the management science.

Science and intuition: do both have a place in clinical decision making?

PubMed

Pearson, Helen

Intuition is widely used in clinical decision making yet its use is underestimated compared to scientific decision-making methods. Information processing is used within scientific decision making and is methodical and analytical, whereas intuition relies more on a practitioner's perception. Intuition is an unconscious process and may be referred to as a 'sixth sense', 'hunch' or 'gut feeling'. It is not underpinned by valid and reliable measures. Expert health professionals use a rapid, automatic process to recognise familiar problems instantly. Intuition could therefore involve pattern recognition, where experts draw on experiences, so could be perceived as a cognitive skill rather than a perception or knowing without knowing how. The NHS places great importance on evidence-based practice but intuition is seemingly becoming an acceptable way of thinking and knowing in clinical decision making. Recognising nursing as an art allows intuition to be used and the environment or situation to be interpreted to help inform decision making. Intuition can be used in conjunction with evidence-based practice and to achieve good outcomes and deserves to be acknowledged within clinical practice.

The Monsoon-90 / SALSA / EOS / SUDMED / SAHRA / HELP / USPP Experience: A Progression of Interdisciplinary Integration of Science and Decision Making over 20 years.

NASA Astrophysics Data System (ADS)

Chehbouni, G.; Goodrich, D.; Kustas, B.; Sorooshian, S.; Shuttleworth, J.; Richter, H.

2008-12-01

The Monsoon'90 Experiment conducted at the USDA-ARS Walnut Gulch Experimental Watershed in southeast Arizona was the start of a long arc of subsequent experiments and research that were larger, longer-term, more international, more interdisciplinary, and led to more direct integration of science for decision making and watershed management. In this era, much of our research and science must be more directly relevant to decision-makers and natural resource managers as they increasingly require sophisticated levels of expert findings and scientific results (e.g. interdisciplinary) to make informed decisions. Significant effort beyond focused, single disciplinary research is required conduct interdisciplinary science typical in large scale field experiments. Even greater effort is required to effectively integrate our research across the physical and ecological sciences for direct use by policy and decision makers. This presentation will provide an overview of the evolution of this arc of experiments and long-term projects into a mature integrated science and decision making program. It will discuss the transition in project focus from science and research for understanding; through science for addressing a need; to integrated science and policy development. At each stage the research conducted became more interdisciplinary, first across abiotic disciplines (hydrology, remote sensing, atmospheric science), then by merging abiotic and biotic disciplines (adding ecology and plant physiology), and finally a further integration of economic and social sciences with and policy and decision making for resource management. Lessons learned from this experience will be reviewed with the intent providing guidance to ensure that the resulting research is socially and scientifically relevant and will not only result in cutting edge science but will also directly address the needs of policy makers and resource managers.

Distinguishing values from science in decision making: Setting harvest quotas for mountain lions in Montana

USGS Publications Warehouse

Mitchell, Michael S.; Cooley, Hilary; Gude, Justin A.; Kolbe, Jay; Nowak, J. Joshua; Proffitt, Kelly M.; Sells, Sarah N.; Thompson, Mike

2018-01-01

The relative roles of science and human values can be difficult to distinguish when informal processes are used to make complex and contentious decisions in wildlife management. Structured Decision Making (SDM) offers a formal process for making such decisions, where scientific results and concepts can be disentangled from the values of differing stakeholders. We used SDM to formally integrate science and human values for a citizen working group of ungulate hunting advocates, lion hunting advocates, and outfitters convened to address the contentious allocation of harvest quotas for mountain lions (Puma concolor) in west‐central Montana, USA, during 2014. A science team consisting of mountain lion biologists and population ecologists convened to support the working group. The science team used integrated population models that incorporated 4 estimates of mountain lion density to estimate population trajectories for 5 alternative harvest quotas developed by the working group. Results of the modeling predicted that effects of each harvest quota were consistent across the 4 density estimates; harvest quotas affected predicted population trajectories for 5 years after implementation but differences were not strong. Based on these results, the focus of the working group changed to differences in values among stakeholders that were the true impediment to allocating harvest quotas. By distinguishing roles of science and human values in this process, the working group was able to collaboratively recommend a compromise solution. This solution differed little from the status quo that had been the focus of debate, but the SDM process produced understanding and buy‐in among stakeholders involved, reducing disagreements, misunderstanding, and unproductive arguments founded on informal application of scientific data and concepts. Whereas investments involved in conducting SDM may be unnecessary for many decisions in wildlife management, the investment may be beneficial for complex, contentious, and multiobjective decisions that integrate science and human values.

Gulf of Mexico and Caribbean Community Sustainability Study Focuses on Tying the Science of Ecosystem Services and Human Health Directly to Community Decision Making

EPA Science Inventory

The Community-based Sustainability Research Program in EPA’s Office of Research and Development is studying how the availability of ecosystem goods and services (EGS) is impacted by community decision making and how this relationship alters human wellbeing. We also seek ‘common g...

Graduate Education in Risk Analysis for Food, Agriculture, and Veterinary Medicine: Challenges and Opportunities

ERIC Educational Resources Information Center

Correia, Ana-Paula; Wolt, Jeffrey D.

2010-01-01

The notion of risk in relation to food and food production has heightened the need to educate students to effectively deal with risk in relation to decision making from a science-based perspective. Curricula and related materials were developed and adopted to support graduate learning opportunities in risk analysis and decision making as applied…

The Department of the Interior Southeast Climate Science Center synthesis report 2011–15—Projects, products, and science priorities

USGS Publications Warehouse

Varela Minder, Elda; Lascurain, Aranzazu R.; McMahon, Gerard

2016-09-28

IntroductionIn 2009, the U.S. Department of the Interior (DOI) Secretary Ken Salazar established a network of eight regional Climate Science Centers (CSCs) that, along with the Landscape Conservation Cooperatives (LCCs), would help define and implement the Department's climate adaptation response. The Southeast Climate Science Center (SE CSC) was established at North Carolina State University (NCSU) in Raleigh, North Carolina, in 2010, under a 5-year cooperative agreement with the U.S. Geological Survey (USGS), to identify and address the regional challenges presented by climate change and variability in the Southeastern United States. All eight regional CSC hosts, including NCSU, were selected through a competitive process.Since its opening, the focus of the SE CSC has been on working with partners in the identification and development of research-based information that can assist managers, including cultural and natural resource managers, in adapting to global change processes, such as climate and land use change, that operate at local to global scales and affect resources important to the DOI mission. The SE CSC was organized to accomplish three goals:Provide co-produced, researched based, actionable science that supports transparent global change adaptation decisions.Convene conversations among decision makers, scientists, and managers to identify key ecosystem adaptation decisions driven by climate and land use change, the values and objectives that will be used to make decisions, and the research-based information needed to assess adaptation options.Build the capacity of natural resource professionals, university faculty, and students to understand and frame natural resource adaptation decisions and develop and use research-based information to make adaptation decisions.This report provides an overview of the SE CSC and the projects developed by the SE CSC since its inception. An important goal of this report is to provide a framework for understanding the evolution of the SE CSC science agenda, which has evolved over the first 5 years of the Center’s operation.

Recognition Decisions From Visual Working Memory Are Mediated by Continuous Latent Strengths.

PubMed

Ricker, Timothy J; Thiele, Jonathan E; Swagman, April R; Rouder, Jeffrey N

2017-08-01

Making recognition decisions often requires us to reference the contents of working memory, the information available for ongoing cognitive processing. As such, understanding how recognition decisions are made when based on the contents of working memory is of critical importance. In this work we examine whether recognition decisions based on the contents of visual working memory follow a continuous decision process of graded information about the correct choice or a discrete decision process reflecting only knowing and guessing. We find a clear pattern in favor of a continuous latent strength model of visual working memory-based decision making, supporting the notion that visual recognition decision processes are impacted by the degree of matching between the contents of working memory and the choices given. Relation to relevant findings and the implications for human information processing more generally are discussed. Copyright © 2016 Cognitive Science Society, Inc.

Decision-Making Competence in Biology Education: Implementation into German Curricula in Relation to International Approaches

ERIC Educational Resources Information Center

Steffen, Benjamin; Hößle, Corinna

2014-01-01

The integration of decision-making competence or comparable constructs into science education has been strongly enforced during the last twenty years. Germany captured the tendency with the introduction of national standards for science education that included a domain that refers to decision-making competence. This domain--"evaluation and…

Applying a family systems lens to proxy decision making in clinical practice and research.

PubMed

Rolland, John S; Emanuel, Linda L; Torke, Alexia M

2017-03-01

When patients are incapacitated and face serious illness, family members must make medical decisions for the patient. Medical decision sciences give only modest attention to the relationships among patients and their family members, including impact that these relationships have on the decision-making process. A review of the literature reveals little effort to systematically apply a theoretical framework to the role of family interactions in proxy decision making. A family systems perspective can provide a useful lens through which to understand the dynamics of proxy decision making. This article considers the mutual impact of family systems on the processes and outcomes of proxy decision making. The article first reviews medical decision science's evolution and focus on proxy decision making and then reviews a family systems approach, giving particular attention to Rolland's Family Systems Illness Model. A case illustrates how clinical practice and how research would benefit from bringing family systems thinking to proxy decisions. We recommend including a family systems approach in medical decision science research and clinical practices around proxy decisions making. We propose that clinical decisions could be less conflicted and less emotionally troubling for families and clinicians if family systems approaches were included. This perspective opens new directions for research and novel approaches to clinical care. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Measurement Instrument for Scientific Teaching (MIST): A Tool to Measure the Frequencies of Research-Based Teaching Practices in Undergraduate Science Courses

ERIC Educational Resources Information Center

Durham, Mary F.; Knight, Jennifer K.; Couch, Brian A.

2017-01-01

The Scientific Teaching (ST) pedagogical framework provides various approaches for science instructors to teach in a way that more closely emulates how science is practiced by actively and inclusively engaging students in their own learning and by making instructional decisions based on student performance data. Fully understanding the impact of…

Making Debris Avoidance Decisions for ESMO's EOS Mission Set

NASA Technical Reports Server (NTRS)

Mantziaras, Dimitrios

2016-01-01

The presentation will cover the aspects of making debris risk decisions from the NASA Mission Director's perspective, specifically for NASA Earth Science Mission Operations (ESMO) Earth Observing System (EOS) mission set. ESMO has been involved in analyzing potential debris risk conjunctions with secondary objects since the inception of this discipline. Through the cumulated years of experience and continued exposure to various debris scenarios, ESMO's understanding of the problem and process to deal with this issue has evolved. The presentation will describe the evolution of the ESMO process, specifically as it relates to the maneuver execution and spacecraft risk management decision process. It will briefly cover the original Drag Make-Up Maneuver, several day, methodical manually intensive, ramp up waive off approach, to the present day more automated, pre-canned onboard command, tools based approach. The presentation will also cover the key information needed to make debris decisions and challenges in doing so while still trying to meet science goals, constellation constraints and manage resources. A slide or two at the end of the presentation, will be devoted to discussing what further improvements could be helpful to improve decision making and future process improvement plans challenges.

NASA Applied Sciences Program Rapid Prototyping Results and Conclusions

NASA Astrophysics Data System (ADS)

Cox, E. L.

2007-12-01

NASA's Applied Sciences Program seeks to expand the use of Earth science research results to benefit current and future operational systems tasked with making policy and management decisions. The Earth Science Division within the Science Mission Directorate sponsors over 1000 research projects annually to answer the fundamental research question: How is the Earth changing and what are the consequences for life on Earth? As research results become available, largely from satellite observations and Earth system model outputs, the Applied Sciences Program works diligently with scientists and researchers (internal and external to NASA) , and other government agency officials (USDA, EPA, CDC, DOE, US Forest Service, US Fish and Wildlife Service, DHS, USAID) to determine useful applications for these results in decision-making, ultimately benefiting society. The complexity of Earth science research results and the breadth of the Applied Sciences Program national priority areas dictate a broad scope and multiple approaches available to implement their use in decision-making. Over the past five years, the Applied Sciences Program has examined scientific and engineering practices and solicited the community for methods and steps that can lead to the enhancement of operational systems (Decision Support Systems - DSS) required for decision-making. In November 2006, the Applied Sciences Program launched an initiative aimed at demonstrating the applicability of NASA data (satellite observations, models, geophysical parameters from data archive centers) being incorporated into decision support systems and their related environments at a low cost and quick turnaround of results., i.e. designed rapid prototyping. Conceptually, an understanding of Earth science research (and results) coupled with decision-making requirements and needs leads to a demonstration (experiment) depicting enhancements or improvements to an operational decisions process through the use of NASA data. Five NASA centers (GSFC, LaRC, SSC, MSFC, ARC) participated and are currently conducting fifteen prototyping experiments covering eight of the twelve national priority applications - Energy, Coastal, Carbon, and Disaster Management; Agricultural Efficiency, Aviation, Air Quality, and Ecological Forecasting. Results from six experiments will be discussed highlighting purpose, expected results, enhancement to the decision-making process achieved, and the potential plans for future collaboration and sustainable projects.

A role of decision-making competency in science learning utilizing a social valuation framework

NASA Astrophysics Data System (ADS)

Katsuo, Akihito

2005-11-01

The role of decision-making in learning performance has been an occasional topic in the research literature in science education, but rarely has it been a central issue in the field. Nonetheless, recent studies regarding the topic in several fields other than education, such as cognitive neuroscience and social choice theory, indicate the fundamental importance(s) of the topic. This study focuses on a possible role of decision-making in science learning. Initially the study was designed to probe the decision-making ability of elementary school children with a modified version of the Iowa Gambling Task (IGT). The experiment involved six Montessori 3rd and 4th grade students as the experimental group and eight public school 3rd and 4th grade students as the control group. The result of the modified IGT revealed a tendency in choice trajectories favoring children at the Montessori school. However, the probabilistic value went below the statistically significant level set by the U test. A further study focused on the impact of better decision-making ability revealed in the first experiment on performances with a science learning module that emphasized collective reasoning. The instruction was based on a set of worksheets with multiple choices on which students were asked to make predictions with and to provide supportive arguments regarding outcomes of experiments introduced in the worksheet. Then the whole class was involved with a real experiment to see which choice was correct. The findings in the study indicated that the Montessori students often obtained higher scores than non-Montessori students in making decision with a tendency of consistency in terms of their choices of the alternatives on the worksheets. The findings of the experiments were supported by a correlational analysis that was performed at the end of study. Although no statistically significant correlations were found, there was a tendency for positively associative shifts between the scores of the modified IGT and the scores for the performances on the science module for the Montessori students.

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

ERIC Educational Resources Information Center

Glaze, Amanda L.

2018-01-01

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

The Fort Collins Science Center

USGS Publications Warehouse

Wilson, Juliette T.; Banowetz, Michele M.

2012-01-01

With a focus on biological research, the U.S. Geological Survey Fort Collins Science Center (FORT) develops and disseminates science-based information and tools to support natural resource decision-making. This brochure succinctly describes the integrated science capabilities, products, and services that the FORT science community offers across the disciplines of aquatic systems, ecosystem dynamics, information science, invasive species science, policy analysis and social science assistance, and trust species and habitats.

Bringing science to the table: Case studies in science-informed decision making on climate change and beyond

NASA Astrophysics Data System (ADS)

Goldman, G. T.; Phartiyal, P.; Mulvey, K.

2016-12-01

Federal government officials often rely on the research and advice of scientists to inform their decision making around climate change and other complex topics. Decision makers, however, are constrained by the time and accessibility needed to obtain and incorporate scientific information. At the same time, scientists have limited capacity and incentive to devote significant time to communicating their science to decision makers. The Union of Concerned Scientists has employed several strategies to produce policy-relevant scientific work and to facilitate engagement between scientists and decision makers across research areas. This talk will feature lessons learned and key strategies for science-informed decision making around climate change and other areas of the geosciences. Case studies will include conducting targeted sea level rise studies to inform rulemaking at federal agencies, bringing science to policy discussions on hydraulic fracturing, and leveraging the voice of the scientific community on specific policy proposals around climate change disclosure of companies. Recommendations and lessons learned for producing policy-relevant science and effectively communicating it with decision makers will be offered.

Comparative Effectiveness of Context-Based and Traditional Approaches in Teaching Genetics: Student Views and Achievement

ERIC Educational Resources Information Center

Kazeni, Monde; Onwu, Gilbert

2013-01-01

The study aimed to determine the comparative effectiveness of context-based and traditional teaching approaches in enhancing student achievement in genetics, problem-solving, science inquiry and decision-making skills, and attitude towards the study of life sciences. A mixed method but essentially quantitative research approach involving a…

Comment: What Constitutes Evidence in Science Education Research?

ERIC Educational Resources Information Center

Roth, Wolff-Michael

2011-01-01

In the wake of an increasing political commitment to evidence-based decision making and evidence-based educational reform that emerged with the No Child Left Behind effort, the question of what counts as evidence has become increasingly important in the field of science education. In current public discussions, academics, politicians, and other…

Science-based decision making in a high-risk energy production environment

NASA Astrophysics Data System (ADS)

Weiser, D. A.

2016-12-01

Energy production practices that may induce earthquakes require decisions about acceptable risk before projects begin. How much ground shaking, structural damage, infrastructure damage, or delay of geothermal power and other operations is tolerable? I review a few mitigation strategies as well as existing protocol in several U.S. states. Timely and accurate scientific information can assist in determining the costs and benefits of altering production parameters. These issues can also be addressed with probability estimates of adverse effects ("costs"), frequency of earthquakes of different sizes, and associated impacts of different magnitude earthquakes. When risk management decisions based on robust science are well-communicated to stakeholders, mitigation efforts benefit. Effective communications elements include a) the risks and benefits of different actions (e.g. using a traffic light protocol); b) the factors to consider when determining acceptable risk; and c) the probability of different magnitude events. I present a case example for The Geysers geothermal field in California, to discuss locally "acceptable" and "unacceptable" earthquakes and share nearby communities' responses to smaller and larger magnitude earthquakes. I use the USGS's "Did You Feel It?" data archive to sample how often felt events occur, and how many of those are above acceptable magnitudes (to both local residents and operators). Using this information, I develop a science-based decision-making framework, in the case of potentially risky earthquakes, for lessening seismic risk and other negative consequences. This includes assessing future earthquake probabilities based on past earthquake records. One of my goals is to help characterize uncertainties in a way that they can be managed; to this end, I present simple and accessible approaches that can be used in the decision making process.

Structured decision making: Chapter 5

USGS Publications Warehouse

Runge, Michael C.; Grand, James B.; Mitchell, Michael S.; Krausman, Paul R.; Cain, James W. III

2013-01-01

Wildlife management is a decision-focused discipline. It needs to integrate traditional wildlife science and social science to identify actions that are most likely to achieve the array of desires society has surrounding wildlife populations. Decision science, a vast field with roots in economics, operations research, and psychology, offers a rich set of tools to help wildlife managers frame, decompose, analyze, and synthesize their decisions. The nature of wildlife management as a decision science has been recognized since the inception of the field, but formal methods of decision analysis have been underused. There is tremendous potential for wildlife management to grow further through the use of formal decision analysis. First, the wildlife science and human dimensions of wildlife disciplines can be readily integrated. Second, decisions can become more efficient. Third, decisions makers can communicate more clearly with stakeholders and the public. Fourth, good, intuitive wildlife managers, by explicitly examining how they make decisions, can translate their art into a science that is readily used by the next generation.

Lessons from NASA Applied Sciences Program: Success Factors in Applying Earth Science in Decision Making

NASA Astrophysics Data System (ADS)

Friedl, L. A.; Cox, L.

2008-12-01

The NASA Applied Sciences Program collaborates with organizations to discover and demonstrate applications of NASA Earth science research and technology to decision making. The desired outcome is for public and private organizations to use NASA Earth science products in innovative applications for sustained, operational uses to enhance their decisions. In addition, the program facilitates the end-user feedback to Earth science to improve products and demands for research. The Program thus serves as a bridge between Earth science research and technology and the applied organizations and end-users with management, policy, and business responsibilities. Since 2002, the Applied Sciences Program has sponsored over 115 applications-oriented projects to apply Earth observations and model products to decision making activities. Projects have spanned numerous topics - agriculture, air quality, water resources, disasters, public health, aviation, etc. The projects have involved government agencies, private companies, universities, non-governmental organizations, and foreign entities in multiple types of teaming arrangements. The paper will examine this set of applications projects and present specific examples of successful use of Earth science in decision making. The paper will discuss scientific, organizational, and management factors that contribute to or impede the integration of the Earth science research in policy and management. The paper will also present new methods the Applied Sciences Program plans to implement to improve linkages between science and end users.

An integrated model of decision-making in health contexts: the role of science education in health education

NASA Astrophysics Data System (ADS)

Arnold, Julia C.

2018-03-01

Health education is to foster health literacy, informed decision-making and to promote health behaviour. To date, there are several models that seek to explain health behaviour (e.g. the Theory of Planned Behaviour or the Health Belief Model). These models include motivational factors (expectancies and values) that play a role in decision-making in health contexts. In this theoretical paper, it is argued that none of these models makes consequent use of expectancy-value pairs. It is further argued that in order to make these models fruitful for science education and for informed decision-making, models should systematically incorporate knowledge as part of the decision-making process. To fill this gap, this theoretical paper introduces The Integrated Model of Decision-Making in Health Contexts. This model includes three types of knowledge (system health knowledge, action-related health knowledge and effectiveness health knowledge) as influencing factors for motivational factors (perceived health threat, attitude towards health action, attitude towards health outcome and subjective norm) that are formed of expectancy-value pairs and lead to decisions. The model's potential for health education in science education as well as research implications is discussed.

Science Teachers' Epistemic Cognition in Instructional Decision Making

ERIC Educational Resources Information Center

Ponnock, Annette R.

2017-01-01

One understudied barrier to science education reform concerns teachers' cognitive processes and how they relate to instructional decision-making. Epistemic cognition--teachers' beliefs about knowledge and knowledge acquisition and goals for their students' knowledge acquisition--could provide important insights into the choices science teachers…

Producing More Actionable Science Isn't the Problem; It's Providing Decision-Makers with Access to Right Actionable Knowledge

NASA Astrophysics Data System (ADS)

Trexler, M.

2017-12-01

Policy-makers today have almost infinite climate-relevant scientific and other information available to them. The problem for climate change decision-making isn't missing science or inadequate knowledge of climate risks; the problem is that the "right" climate change actionable knowledge isn't getting to the right decision-maker, or is getting there too early or too late to effectively influence her decision-making. Actionable knowledge is not one-size-fit-all, and for a given decision-maker might involve scientific, economic, or risk-based information. Simply producing more and more information as we are today is not the solution, and actually makes it harder for individual decision-makers to access "their" actionable knowledge. The Climatographers began building the Climate Web five years ago to test the hypothesis that a knowledge management system could help navigate the gap between infinite information and individual actionable knowledge. Today the Climate Web's more than 1,500 index terms allow instant access to almost any climate change topic. It is a curated public-access knowledgebase of more than 1,000 books, 2,000 videos, 15,000 reports and articles, 25,000 news stories, and 3,000 websites. But it is also much more, linking together tens of thousands of individually extracted ideas and graphics, and providing Deep Dives into more than 100 key topics from changing probability distributions of extreme events to climate communications best practices to cognitive dissonance in climate change decision-making. The public-access Climate Web is uniquely able to support cross-silo learning, collaboration, and actionable knowledge dissemination. The presentation will use the Climate Web to demonstrate why knowledge management should be seen as a critical component of science and policy-making collaborations.

Understanding user needs for carbon monitoring information

NASA Astrophysics Data System (ADS)

Duren, R. M.; Macauley, M.; Gurney, K. R.; Saatchi, S. S.; Woodall, C. W.; Larsen, K.; Reidmiller, D.; Hockstad, L.; Weitz, M.; Croes, B.; Down, A.; West, T.; Mercury, M.

2015-12-01

The objectives of the Understanding User Needs project for NASA's Carbon Monitoring System (CMS) program are to: 1) engage the user community and identify needs for policy-relevant carbon monitoring information, 2) evaluate current and planned CMS data products with regard to their value for decision making, and 3) explore alternative methods for visualizing and communicating carbon monitoring information and associated uncertainties to decision makers and other stakeholders. To meet these objectives and help establish a sustained link between science and decision-making we have established a multi-disciplinary team that combines expertise in carbon-cycle science, engineering, economics, and carbon management and policy. We will present preliminary findings regarding emerging themes and needs for carbon information that may warrant increased attention by the science community. We will also demonstrate a new web-based tool that offers a common framework for facilitating user evaluation of carbon data products from multiple CMS projects.

Science Teacher Decision-Making in a Climate of Heightened Accountability: A Rhizomatic Case Study Analysis of Two Science Departments in New York City

ERIC Educational Resources Information Center

Purohit, Kiran Dilip

2017-01-01

Secondary science teachers make many daily decisions in the enactment of curriculum. Although curriculum materials are widely available to address science content, practices, and skills, the consideration that goes into deciding how and whether to use such materials is complicated by teachers' beliefs about science, their understandings of…

Implementation of Socioscientific Issues Instruction to Fostering Students’ Decision Making Based Gender on Environmental Pollution

NASA Astrophysics Data System (ADS)

Rizal, H. P.; Siahaan, P.; Yuliani, G.

2017-02-01

The purpose of this study was to investigate the implementation socioscientific issues (SSI) instruction to examine students’ decision making based gender. Selection of environmental problem based on the consideration this issue has potential to evaluate from various scientific disciplines and may initiate to make decision. The participant was students grade VII in South Sulawesi. Pre experiment method was utilized in study with one group pre-test and post-test design. The instrument used in this study comprised of open-ended question, observation sheets for group discussion, sheet for interview and observation sheet of implementation instruction in class. The result indicated that instruction has been implemented successfully. It was found that pre-test and post-test was fostered with N-gain for male and female in medium category. Based on independent t test was found there was no difference improvement of decision making between male and female students. The group showed there was no difference between male group and female group, but a significant difference was noted in mix group. Students and teacher give positive response to the implementation of instruction. It is concluded that science instruction based SSI can be implemented to foster male and female decision making by forming group discussion.

Knowledge translation is the use of knowledge in health care decision making.

PubMed

Straus, Sharon E; Tetroe, Jacqueline M; Graham, Ian D

2011-01-01

To provide an overview of the science and practice of knowledge translation. Narrative review outlining what knowledge translation is and a framework for its use. Knowledge translation is defined as the use of knowledge in practice and decision making by the public, patients, health care professionals, managers, and policy makers. Failures to use research evidence to inform decision making are apparent across all these key decision maker groups. There are several proposed theories and frameworks for achieving knowledge translation. A conceptual framework developed by Graham et al., termed the knowledge-to-action cycle, provides an approach that builds on the commonalities found in an assessment of planned action theories. Review of the evidence base for the science and practice of knowledge translation has identified several gaps including the need to develop valid strategies for assessing the determinants of knowledge use and for evaluating sustainability of knowledge translation interventions. Copyright © 2011 Elsevier Inc. All rights reserved.

I Want to Be a Scientist/A Teacher: Students' Perceptions of Career Decision-Making in Gender-Typed, Non-Traditional Areas of Work

ERIC Educational Resources Information Center

Buschor, Christine Bieri; Kappler, Christa; Keck Frei, Andrea; Berweger, Simone

2014-01-01

The study examines the career decision-making of Swiss academic high school students opting for a career in a non-traditional, gender-typed area of work during the transition to higher education. Based on a longitudinal study, a qualitative study with 11 female students in Science, Technology, Engineering and Mathematics (STEM) and 13 male student…

Stakeholder views of management and decision support tools to integrate climate change into Great Lakes Lake Whitefish management

USGS Publications Warehouse

Lynch, Abigail J.; Taylor, William W.; McCright, Aaron M.

2016-01-01

Decision support tools can aid decision making by systematically incorporating information, accounting for uncertainties, and facilitating evaluation between alternatives. Without user buy-in, however, decision support tools can fail to influence decision-making processes. We surveyed fishery researchers, managers, and fishers affiliated with the Lake Whitefish Coregonus clupeaformis fishery in the 1836 Treaty Waters of Lakes Huron, Michigan, and Superior to assess opinions of current and future management needs to identify barriers to, and opportunities for, developing a decision support tool based on Lake Whitefish recruitment projections with climate change. Approximately 64% of 39 respondents were satisfied with current management, and nearly 85% agreed that science was well integrated into management programs. Though decision support tools can facilitate science integration into management, respondents suggest that they face significant implementation barriers, including lack of political will to change management and perceived uncertainty in decision support outputs. Recommendations from this survey can inform development of decision support tools for fishery management in the Great Lakes and other regions.

From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making.

PubMed

Cvitanovic, C; McDonald, J; Hobday, A J

2016-12-01

Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management systems. Finally, we articulate the individual, institutional and financial capacities that must be developed to underpin successful knowledge exchange strategies. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Assessing stakeholder perspectives on invasive plants to inform risk analysis

USDA-ARS?s Scientific Manuscript database

Conservation and land management decisions are often based primarily on natural science, but could be more successful if human influences were effectively integrated into decision-making. This is especially true for efforts to manage invasive plants, whose arrival is usually the product of delibera...

Content Analysis of Morskoy Sbornik: 1978-1982

DTIC Science & Technology

1983-09-01

independent decision-making at all levels of command is advocated. In April, 1982, Captain 1st Rank B. Makeyev , a candidate of naval science, entered the...a prominence in the Soviet defense establishment. Makeyev believes that naval weapons development is based on decisions of defense planners who must

A canonical theory of dynamic decision-making.

PubMed

Fox, John; Cooper, Richard P; Glasspool, David W

2013-01-01

Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering.

A Canonical Theory of Dynamic Decision-Making

PubMed Central

Fox, John; Cooper, Richard P.; Glasspool, David W.

2012-01-01

Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering. PMID:23565100

Distributed decision making in action: diagnostic imaging investigations within the bigger picture.

PubMed

Makanjee, Chandra R; Bergh, Anne-Marie; Hoffmann, Willem A

2018-03-01

Decision making in the health care system - specifically with regard to diagnostic imaging investigations - occurs at multiple levels. Professional role players from various backgrounds are involved in making these decisions, from the point of referral to the outcomes of the imaging investigation. The aim of this study was to map the decision-making processes and pathways involved when patients are referred for diagnostic imaging investigations and to explore distributed decision-making events at the points of contact with patients within a health care system. A two-phased qualitative study was conducted in an academic public health complex with the district hospital as entry point. The first phase included case studies of 24 conveniently selected patients, and the second phase involved 12 focus group interviews with health care providers. Data analysis was based on Rapley's interpretation of decision making as being distributed across time, situations and actions, and including different role players and technologies. Clinical decisions incorporating imaging investigations are distributed across the three vital points of contact or decision-making events, namely the initial patient consultation, the diagnostic imaging investigation and the post-investigation consultation. Each of these decision-making events is made up of a sequence of discrete decision-making moments based on the transfer of retrospective, current and prospective information and its transformation into knowledge. This paper contributes to the understanding of the microstructural processes (the 'when' and 'where') involved in the distribution of decisions related to imaging investigations. It also highlights the interdependency in decision-making events of medical and non-medical providers within a single medical encounter. © 2017 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Education and Public Outreach: Why and How

NASA Astrophysics Data System (ADS)

Percy, J. R.

2017-06-01

(Editorial) Science is essential to our well-being - not just our economy, but our health, environment, and culture. Among the hallmarks of science, it promotes rational thinking and critical thinking, and evidence-based decision-making - all of which are essential, but often in short supply.

Safety in the Science Classroom

ERIC Educational Resources Information Center

Online Submission, 2006

2006-01-01

The goal of this K-12 science safety resource is to bring together information needed by administrators, planners, teachers and support staff to help them make sound decisions regarding science safety. The document identifies areas for decision making and action at a variety of levels. It supports planning and action by providing information on…

Socio-Scientific Decision Making in the Science Classroom

ERIC Educational Resources Information Center

Siribunnam, Siripun; Nuangchalerm, Prasart; Jansawang, Natchanok

2014-01-01

The learning ability of students in science is improved by socio-scientific decision-making, an important activity that improves a student's scientific literacy, conceptual understanding, scientific inquiry, attitudes, and social values. The socio-scientific issues must be discussed during science classroom activities in the current state of 21st…

Training in Decision-making Strategies: An approach to enhance students' competence to deal with socio-scientific issues

NASA Astrophysics Data System (ADS)

Gresch, Helge; Hasselhorn, Marcus; Bögeholz, Susanne

2013-10-01

Dealing with socio-scientific issues in science classes enables students to participate productively in controversial discussions concerning ethical topics, such as sustainable development. In this respect, well-structured decision-making processes are essential for elaborate reasoning. To foster decision-making competence, a computer-based programme was developed that trains secondary school students (grades 11-13) in decision-making strategies. The main research question is: does training students to use these strategies foster decision-making competence? In addition, the influence of meta-decision aids was examined. Students conducted a task analysis to select an appropriate strategy prior to the decision-making process. Hence, the second research question is: does combining decision-making training with a task analysis enhance decision-making competence at a higher rate? To answer these questions, 386 students were tested in a pre-post-follow-up control-group design that included two training groups (decision-making strategies/decision-making strategies combined with a task analysis) and a control group (decision-making with additional ecological information instead of strategic training). An open-ended questionnaire was used to assess decision-making competence in situations related to sustainable development. The decision-making training led to a significant improvement in the post-test and the follow-up, which was administered three months after the training. Long-term effects on the quality of the students' decisions were evident for both training groups. Gains in competence when reflecting upon the decision-making processes of others were found, to a lesser extent, in the training group that received the additional meta-decision training. In conclusion, training in decision-making strategies is a promising approach to deal with socio-scientific issues related to sustainable development.

mobilityRERC state of the science conference: Considerations for developing an evidence base for wheeled mobility and seating service delivery.

PubMed

Cohen, Laura; Greer, Nancy; Berliner, Elise; Sprigle, Stephen

2013-11-01

This article, developed as background content for discussion during the Mobility Rehabilitation Engineering Research Center State of the Science Conference, reviews research surrounding wheeled mobility and seating (WMS) service delivery, discusses the challenges of improving clinical decision-making, and discusses research approaches used to study and improve health services in other practice areas that might be leveraged to develop the evidence base for WMS. Narrative literature review. An overview of existing research found general agreement across models of WMS service delivery but little high quality evidence to support the recommended approaches and few studies of the relationship between service delivery steps and individual patient outcomes. The definition of successful clinical decision-making is different for different stakeholders. Clinical decision-making should incorporate the best available evidence along with patient values, preferences, circumstances, and clinical expertise. To advance the evidence base for WMS service delivery, alternatives to randomized controlled trials should be considered and reliable and valid outcome measures developed. Technological advances offer tremendous opportunities for individuals with complex rehabilitation technology needs. However, with ongoing scrutiny of WMS service delivery there is an increased need for evidence to support the clinical decision-making process and to support evidence-based coverage policies for WMS services and technologies. An evidence base for wheeled mobility and seating services is an important component of the clinical decision-making process. At present, there is little evidence regarding essential components of the wheeled mobility and seating evaluation or the relationship between the evaluation process and patient outcomes. Many factors can confound this relationship and present challenges to research in this area. All stakeholders (i.e. clinicians, rehabilitation technology suppliers, manufacturers, researchers, payers, policy makers, and wheelchair users) need to work together to develop and support an evidence base for wheeled mobility and seating service delivery.

Errors in statistical decision making Chapter 2 in Applied Statistics in Agricultural, Biological, and Environmental Sciences

USDA-ARS?s Scientific Manuscript database

Agronomic and Environmental research experiments result in data that are analyzed using statistical methods. These data are unavoidably accompanied by uncertainty. Decisions about hypotheses, based on statistical analyses of these data are therefore subject to error. This error is of three types,...

Case-Based Learning as Pedagogy for Teaching Information Ethics Based on the Dervin Sense-Making Methodology

ERIC Educational Resources Information Center

Dow, Mirah J.; Boettcher, Carrie A.; Diego, Juana F.; Karch, Marziah E.; Todd-Diaz, Ashley; Woods, Kristine M.

2015-01-01

The purpose of this mixed methods study is to determine the effectiveness of case-based pedagogy in teaching basic principles of information ethics and ethical decision making. Study reports results of pre- and post-assessment completed by 49 library and information science (LIS) graduate students at a Midwestern university. Using Creswell's…

Completing the Link between Exposure Science and ...

EPA Pesticide Factsheets

Driven by major scientific advances in analytical methods, biomonitoring, computation, and a newly articulated vision for a greater impact in public health, the field of exposure science is undergoing a rapid transition from a field of observation to a field of prediction. Deployment of an organizational and predictive framework for exposure science analogous to the “systems approaches” used in the biological sciences is a necessary step in this evolution. Here we propose the aggregate exposure pathway (AEP) concept as the natural and complementary companion in the exposure sciences to the adverse outcome pathway (AOP) concept in the toxicological sciences. Aggregate exposure pathways offer an intuitive framework to organize exposure data within individual units of prediction common to the field, setting the stage for exposure forecasting. Looking farther ahead, we envision direct linkages between aggregate exposure pathways and adverse outcome pathways, completing the source to outcome continuum for more meaningful integration of exposure assessment and hazard identification. Together, the two frameworks form and inform a decision-making framework with the flexibility for risk-based, hazard-based, or exposure-based decision making. The National Exposure Research Laboratory (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA mission to protect human health and the environment. HEASD research program supports G

Designing a solution to enable agency-academic scientific collaboration for disasters

USGS Publications Warehouse

Mease, Lindley A.; Gibbs-Plessl, Theodora; Erickson, Ashley; Ludwig, Kristin A.; Reddy, Christopher M.; Lubchenco, Jane

2017-01-01

As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.

Time on Text and Science Achievement for High School Biology Students

ERIC Educational Resources Information Center

Wyss, Vanessa L.; Dolenc, Nathan; Kong, Xiaoqing; Tai, Robert H.

2013-01-01

The conflict between the amount of material to be addressed in high school science classes, the need to prepare students for standardized tests, and the amount of time available forces science educators to make difficult pedagogical decisions on a daily basis. Hands-on and inquiry-based learning offer students more authentic learning experiences…

Human-Nature Relationships in School Science: A Critical Discourse Analysis of a Middle-Grade Science Textbook

ERIC Educational Resources Information Center

Sharma, Ajay; Buxton, Cory A.

2015-01-01

Science education has a central role to play in preparing a scientifically literate citizenry that is capable of understanding complex environmental challenges facing human societies and making well-informed and evidence-based decisions that help resolve these challenges. However, evidence suggests that most Americans are poorly equipped with the…

Enhancing Decision-Making in STSE Education by Inducing Reflection and Self-Regulated Learning

ERIC Educational Resources Information Center

Gresch, Helge; Hasselhorn, Marcus; Bögeholz, Susanne

2017-01-01

Thoughtful decision-making to resolve socioscientific issues is central to science, technology, society, and environment (STSE) education. One approach for attaining this goal involves fostering students' decision-making processes. Thus, the present study explores whether the application of decision-making strategies, combined with reflections on…

Improving Medical Students' Application of Knowledge and Clinical Decision-Making Through a Porcine-Based Integrated Cardiac Basic Science Program.

PubMed

Stott, Martyn Charles; Gooseman, Michael Richard; Briffa, Norman Paul

2016-01-01

Despite the concerted effort of modern undergraduate curriculum designers, the ability to integrate basic sciences in clinical rotations is an ongoing problem in medical education. Students and newly qualified doctors themselves report worry about the effect this has on their clinical performance. There are examples in the literature to support development of attempts at integrating such aspects, but this "vertical integration" has proven to be difficult. We designed an expert-led integrated program using dissection of porcine hearts to improve the use of cardiac basic sciences in clinical medical students' decision-making processes. To our knowledge, this is the first time in the United Kingdom that an animal model has been used to teach undergraduate clinical anatomy to medical students to direct wider application of knowledge. Action research methodology was used to evaluate the local curriculum and assess learners needs, and the agreed teaching outcomes, methods, and delivery outline were established. A total of 18 students in the clinical years of their degree program attended, completing precourse and postcourse multichoice questions examinations and questionnaires to assess learners' development. Student's knowledge scores improved by 17.5% (p = 0.01; students t-test). Students also felt more confident at applying underlying knowledge to decision-making and diagnosis in clinical medicine. An expert teacher (consultant surgeon) was seen as beneficial to students' understanding and appreciation. This study outlines how the development of a teaching intervention using porcine-based methods successfully improved both student's knowledge and application of cardiac basic sciences. We recommend that clinicians fully engage with integrating previously learnt underlying sciences to aid students in developing decision-making and diagnostic skills as well as a deeper approach to learning. Copyright © 2016 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

A Science-Technology-Society Paradigm and Cross River State Secondary School Students' Scientific Literacy: Problem Solving and Decision Making

ERIC Educational Resources Information Center

Umoren, Grace

2007-01-01

The aim of this study was to investigate the effect of Science-Technology-Society (STS) curriculum on students' scientific literacy, problem solving and decision making. Four hundred and eighty (480) Senior Secondary two science and non-science students were randomly selected from intact classes in six secondary schools in Calabar Municipality of…

Dispositional optimism, self-framing and medical decision-making.

PubMed

Zhao, Xu; Huang, Chunlei; Li, Xuesong; Zhao, Xin; Peng, Jiaxi

2015-03-01

Self-framing is an important but underinvestigated area in risk communication and behavioural decision-making, especially in medical settings. The present study aimed to investigate the relationship among dispositional optimism, self-frame and decision-making. Participants (N = 500) responded to the Life Orientation Test-Revised and self-framing test of medical decision-making problem. The participants whose scores were higher than the middle value were regarded as highly optimistic individuals. The rest were regarded as low optimistic individuals. The results showed that compared to the high dispositional optimism group, participants from the low dispositional optimism group showed a greater tendency to use negative vocabulary to construct their self-frame, and tended to choose the radiation therapy with high treatment survival rate, but low 5-year survival rate. Based on the current findings, it can be concluded that self-framing effect still exists in medical situation and individual differences in dispositional optimism can influence the processing of information in a framed decision task, as well as risky decision-making. © 2014 International Union of Psychological Science.

Complexity science and participation in decision making among Taiwanese nurses.

PubMed

Liu, Yi

2008-04-01

The perspective of interconnection in complexity science is used to examine the concept of participation in decision making among Taiwanese nurses in the context of Chinese communication culture. Participation in decision making among nurses has been widely discussed and tested in the Western healthcare systems. Many studies have shown that participation in decision making relates to nurses' autonomy, job satisfaction and quality of care. However, participation in decision making has not been fully discussed in Taiwan's nursing community. In a different cultural environment, participation in decision making may have different effects. The concept of participation in decision making is analysed in three facets of Chinese communication culture: (1) hierarchical social relationship; (2) harmony maintenance; and (3) insider effects. Key issues Taiwanese nurses might establish different levels of participation and need to use different strategies to enhance participation in decision making for desired outcomes. While applying participation in decision making in a different context, it is very important to consider the social and cultural differences. Two implications are made. First, nursing leaders/managers who are working with a multicultural team should be aware of the cultural difference in the pattern of interaction in the process of participation in decision making. Second, leaders/managers should be creative and try to apply different strategies to encourage staff's participation in decision making.

Integrating Land Cover Modeling and Adaptive Management to Conserve Endangered Species and Reduce Catastrophic Fire Risk

NASA Technical Reports Server (NTRS)

Breininger, David; Duncan, Brean; Eaton, Mitchell; Johnson, Fred; Nichols, James

2014-01-01

Land cover modeling is used to inform land management, but most often via a two-step process where science informs how management alternatives can influence resources and then decision makers can use this to make decisions. A more efficient process is to directly integrate science and decision making, where science allows us to learn to better accomplish management objectives and is developed to address specific decisions. Co-development of management and science is especially productive when decisions are complicated by multiple objectives and impeded by uncertainty. Multiple objectives can be met by specification of tradeoffs, and relevant uncertainty can be addressed through targeted science (i.e., models and monitoring). We describe how to integrate habitat and fuels monitoring with decision making focused on dual objectives of managing for endangered species and minimizing catastrophic fire risk. Under certain conditions, both objectives might be achieved by a similar management policy, but habitat trajectories suggest tradeoffs. Knowledge about system responses to actions can be informed by applying competing management actions to different land units in the same system state and by ideas about fire behavior. Monitoring and management integration is important to optimize state-specific management decisions and increase knowledge about system responses. We believe this approach has broad utility for and cover modeling programs intended to inform decision making.

Hart-Devlin revisited: law, morality and consent in parenthood.

PubMed

Moss, Kate; Hughes, Rowland

2011-04-01

The debate about law and morality is not new but changing social structures and advances in science, medicine and technology have impacted the decisions courts have to make. Within the fast-changing societies of the 21st century, is judicial decision-making cognisant of these advances and how do the judiciary currently reconcile difficult emergent issues concerning law, science and morality? The dilemma of decision-making regarding frozen embryos, the gametes of deceased donors and the issue of consent is analysed by reference to recent case law and the problem of decision-making in relation to the newly possible.

Agent-based modeling of deforestation in southern Yucatán, Mexico, and reforestation in the Midwest United States

PubMed Central

Manson, Steven M.; Evans, Tom

2007-01-01

We combine mixed-methods research with integrated agent-based modeling to understand land change and economic decision making in the United States and Mexico. This work demonstrates how sustainability science benefits from combining integrated agent-based modeling (which blends methods from the social, ecological, and information sciences) and mixed-methods research (which interleaves multiple approaches ranging from qualitative field research to quantitative laboratory experiments and interpretation of remotely sensed imagery). We test assumptions of utility-maximizing behavior in household-level landscape management in south-central Indiana, linking parcel data, land cover derived from aerial photography, and findings from laboratory experiments. We examine the role of uncertainty and limited information, preferences, differential demographic attributes, and past experience and future time horizons. We also use evolutionary programming to represent bounded rationality in agriculturalist households in the southern Yucatán of Mexico. This approach captures realistic rule of thumb strategies while identifying social and environmental factors in a manner similar to econometric models. These case studies highlight the role of computational models of decision making in land-change contexts and advance our understanding of decision making in general. PMID:18093928

What does the new breed of decision-making methodologies mean for choices and norms in hydrological science?

NASA Astrophysics Data System (ADS)

Wikman-Svahn, Per

2013-04-01

Hydrological sciences are increasingly utilized in decision-making contexts that need to manage deep uncertainty, changing conditions and very long-lead times and lifetimes. Traditional optimizing approaches become problematic in such situations. For example, optimizing approaches may underestimate the importance of low probability outcomes, or very uncertain outcomes. Alternative decision-making strategies are therefore increasingly used in hydrological applications, including "bottom-up/top-down", "context-first", "decision-scaling", "assess risk of policy", "robust", "resilient" or "flexible" approaches. These kinds of strategies are typically designed to handle very uncertain and diverse outcomes, and often start from the particular decision-making context, in contrast to more traditional "predict-then-act" or "science first" approaches. Contemporary research in philosophy of science stress the influence of value judgments and norms in scientific assessments. In particular, this literature points out that implicit anticipated applications often influence choices made in scientific assessments. Furthermore, this literature also emphasize that choices made at within scientific assessments have consequences for decision-making later on. One reason is that it is often difficult for decision-makers to see what choices are made and the implications of these choices. Another reason is that information that could be of use for decision-makers are lost at an early stage. For example, the choice to focus on central estimates and not providing assessments on more unlikely outcomes is a choice that has consequences for what outcomes are taken into account in the decision-making process. This paper develops this argument and then analyzes the implications of these new developments for hydrological science. One implication of the increasing use of the new breed of planning strategies is that a broader range of uncertainty in scientific assessments becomes desirable in order to fully benefit from the power of the new decision-making strategies. Another implication is that bayesian probability assessments become more important. Finally, advantages and risks involved in changing scientific assessments in order to anticipate the new decision-making strategies are discussed.

An introduction to behavioural decision-making theories for paediatricians.

PubMed

Haward, Marlyse F; Janvier, Annie

2015-04-01

Behavioural decision-making theories provide insights into how people make choices under conditions of uncertainty. However, few have been studied in paediatrics. This study introduces these theories, reviews current research and makes recommendations for their application within the context of shared decision-making. As parents are expected to share decision-making in paediatrics, it is critical that the fields of behavioural economics, communication and decision sciences merge with paediatric clinical ethics to optimise decision-making. ©2015 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

The Rise of Political Interference in Science Policy

NASA Astrophysics Data System (ADS)

Carter, J. M.; Goldman, G. T.; Barry, J.

2017-12-01

The United States federal government has long relied on independent science to inform policy decisions that impact public health and safety, and the environment. Yet, losses of scientific integrity in federal decisionmaking have persisted, politicizing science and undermining science-based public health protections the government is charged with overseeing. However, politicization of science has accelerated in recent months. Focusing on a series of recent case studies, we investigated different tactics used by political actors to undermine the use of independent science in the policy making process. In this talk, we will highlight and discuss many of these tactics used in the current political era including the delay of science-based decisions, disbanding scientific advisory boards, and the dismissal of scientific evidence. Additionally, this talk will be followed by a discussion of what we might expect for federal scientific integrity in the next few years.

The Upper Midwest Aerospace Consortium Environmental Information Network: Building ‘Learning Communities’ in the Northern Great Plains

USGS Publications Warehouse

Welling, Leigh; Seielstad, George; McClurg, Pat; Fagre, Daniel B.

2000-01-01

In the last two decades alone, the U.S. and large portions of the world have witnessed what can be aptly be described as an explosion of scientific information and technological innovations that has permeated almost every aspect of our lives. Given these trends, it is clear that science and the understanding of science are becoming increasingly more relevant and essential to decision-makers and the decision-making process. Every environmental issue confronting society has an undisputed scientific underpinning. Understanding the implications of the science underpinning issues of particular importance to the health and well being of society constitutes the basis for making more informed and enlightened decisions. However obvious this linkage may be, many factors continue to serve as impediments to the broader understanding and incorporation of science into policy- and decision-making processes, as perhaps is best exemplified by the case of climate science.

Welcome to Nanoscience: Interdisciplinary Environmental Explorations, Grades 9-12

ERIC Educational Resources Information Center

Madden, Andrew S.; Hochella, Michael F., Jr.; Glasson, George E.; Grady, Julie R.; Bank, Tracy L.; Green, Andre M.; Norris, Mary A.; Hurst, Andrew N.; Eriksson, Susan C.

2011-01-01

In a society where technology plays an ever-increasing role, students' ability to understand the underlying science and make smart social and environmental decisions based on that knowledge is crucial. "Welcome to Nanoscience" helps biology, chemistry, and Earth science teachers introduce the revolutionary fields of nanoscience and nanotechnology…

On the design of computer-based models for integrated environmental science.

PubMed

McIntosh, Brian S; Jeffrey, Paul; Lemon, Mark; Winder, Nick

2005-06-01

The current research agenda in environmental science is dominated by calls to integrate science and policy to better understand and manage links between social (human) and natural (nonhuman) processes. Freshwater resource management is one area where such calls can be heard. Designing computer-based models for integrated environmental science poses special challenges to the research community. At present it is not clear whether such tools, or their outputs, receive much practical policy or planning application. It is argued that this is a result of (1) a lack of appreciation within the research modeling community of the characteristics of different decision-making processes including policy, planning, and (2) participation, (3) a lack of appreciation of the characteristics of different decision-making contexts, (4) the technical difficulties in implementing the necessary support tool functionality, and (5) the socio-technical demands of designing tools to be of practical use. This article presents a critical synthesis of ideas from each of these areas and interprets them in terms of design requirements for computer-based models being developed to provide scientific information support for policy and planning. Illustrative examples are given from the field of freshwater resources management. Although computer-based diagramming and modeling tools can facilitate processes of dialogue, they lack adequate simulation capabilities. Component-based models and modeling frameworks provide such functionality and may be suited to supporting problematic or messy decision contexts. However, significant technical (implementation) and socio-technical (use) challenges need to be addressed before such ambition can be realized.

Teaching Students to Make Better Decisions about the Environment: Lessons from the Decision Sciences

ERIC Educational Resources Information Center

Arvai, Joseph L.; Campbell, Victoria E. A.; Baird, Anne; Rivers, Louie

2004-01-01

One of the fundamental goals of environmental education (EE) is to equip students with the skills to make more thoughtful decisions about environmental issues. Many examples of environmental and science education curricula work to address this goal by providing students with up-to-date information about a myriad of environmental issues from a…

Finding Their Way on: Career Decision-Making Processes of Urban Science Teachers

ERIC Educational Resources Information Center

Rinke, Carol R.

2009-01-01

This article reports on a research study investigating the career decision-making processes of urban science teachers as one element central to understanding the high rates of attrition in the field. Using a longitudinal, prospective, context- and subject-specific approach, this study followed the career decisions of case study teachers over a…

Adults' decision-making about the electronic waste issue: The role of the nature of science conceptualizations and moral concerns in socio-scientific decision-making

NASA Astrophysics Data System (ADS)

Yu, Yuqing

Socio-scientific issues have become increasingly important in Science-Technology-Society (STS) education as a means to make science learning more relevant to students' lives. This study used the e-waste issue as a context to investigate two aspects of socio-scientific decision-making: (1) the relationship between the nature of science (NOS) conceptualizations and decision-making; and (2) moral concerns involved in the process of decision-making. This study contributes to the field of socio-scientific issue research and STS education in the following ways. First, it is the first study that performed meta-analysis to seek the relationship between the NOS understanding and decision-making. This study concludes that valuable NOS conceptualizations that are highly related to the socio-scientific issue under investigation, rather than general NOS understanding, exert statistically significant influences on decision-making. Second, this study empirically examined the Multiple Responses Model (MRM), which enables the transfer of qualitative NOS responses into quantitative data, and hence, inferential statistics. The current study justifies the significance of unidimensionality to the application of the MRM. It addresses the limitations associated with the MRM and provides implications for future use of the MRM in other contexts. Finally, the study explores the role of moral concerns in socio-scientific decision-making. Eight participants engaged in interviews that were designed to elicit their reactions and feelings regarding the issue of exporting e-waste to poor countries. Qualitative analyses demonstrated that moral considerations were significant influences on decision-making. In addition, participants' action responses revealed that they were motivated to take action to help the environment. The study has implications for socio-scientific issue studies in other contexts and for teacher education programs that use socio-scientific issues to advance teachers' reasoning and discourse skills.

Machine Reading as a Cognitive Science Research Instrument

DTIC Science & Technology

2007-01-01

perspectives on decision making emerge: deontological and consequentialist. Deontological decisions are made based one’s duties or rules and the...there is a vaccine which would cure the disease, but also it will kill 1% of the recipients of the vaccine, a deontological decision maker would...Tanner, C., Medin D. L., Iliev R. (Forthcoming) "Influence of Deontological vs. Consequentialist Orientations on Act Choices and Framing Effects

Decision-support systems for natural-hazards and land-management issues

USGS Publications Warehouse

Dinitz, Laura; Forney, William; Byrd, Kristin

2012-01-01

Scientists at the USGS Western Geographic Science Center are developing decision-support systems (DSSs) for natural-hazards and land-management issues. DSSs are interactive computer-based tools that use data and models to help identify and solve problems. These systems can provide crucial support to policymakers, planners, and communities for making better decisions about long-term natural hazards mitigation and land-use planning.

Science Consistency Reviews A Primer for Application

Treesearch

James M. Guldin; David Cawrse; Russell Graham; Miles Hemstrom; Linda Joyce; Steve Kessler; Ranotta McNair; George Peterson; Charles G. Shaw; Peter Stine; Mark Twery; Jeffrey Walter

2003-01-01

Concern over Federal land management decisions has grown in recent years. Public debates over activities on Federal land have been contentious, especially regarding management of national forests. Decisions on the management and use of national forest lands are based on many different considerations and values. Although Federal land managers can make choices concerning...

Designing Science Learning in the First Years of Schooling. An Intervention Study with Sequenced Learning Material on the Topic of "Floating and Sinking"

ERIC Educational Resources Information Center

Leuchter, Miriam; Saalbach, Henrik; Hardy, Ilonca

2014-01-01

Research on learning and instruction of science has shown that learning environments applied in preschool and primary school rarely makes use of structured learning materials in problem-based environments although these are decisive quality features for promoting conceptual change and scientific reasoning within early science learning. We thus…

Increasing public awareness and facilitating behavior change: Two guiding heuristics

NASA Astrophysics Data System (ADS)

Maibach, E.

2016-12-01

If there is a single aspiration that unifies the professionals who work on the challenges associated with global change, it is likely their desire to see policy makers, business managers and members of the public make decisions that are better informed by the realities of what we know about how to stabilize the climate and prevent needless harm to people and eco-systems. This calls an obvious question: What can we - as scientists and science organizations - to do more effectively promote evidence-based decision-making and actions by important decision-makers? In this talk I will distinguish between two related challenges: more effectively sharing what we know (i.e., improving our communication); and more effectively helping decision-makers take helpful actions (i.e., improving our efforts to facilitate behavior change). Drawing on both theory and empirical evidence in communication science, behavioral science and other related social sciences, I suggest two guiding heurstics - one for each of the two challenges - that will help scientists and science organizations improve the impact of their outreach efforts. To more effectively share what we know, we need "simple clear messages, repeated often, by a variety of trusted sources." To help people convert their good intentions into effective actions, we need to do more to "make the behaviors we are promoting easy, fun and popular." I refer to each of these as "heuristics" in the sense that they organize a relatively large amount of prescriptive information into a relatively easy to use method or process. In this talk, I will unpack each of these heurtistics with the aim of making them practical for all in attendance.

Study design and hierarchy of evidence for surgical decision making.

PubMed

Sprague, Sheila; McKay, Paula; Thoma, Achilleas

2008-04-01

This article provides a historical overview of the hierarchy of evidence for surgical decision making and discusses key study designs in the hierarchy of evidence. This encompasses meta-analyses, randomized controlled trials, and observational studies, including cohort and case-controlled studies, case series and case reports, and basic science studies. This article also reviews the principles and importance of evidence-based plastic surgery and describes several systems to rate the strength of the scientific evidence.

Spatio-Temporal Neural Networks for Vision, Reasoning and Rapid Decision Making

DTIC Science & Technology

1994-08-31

something that is obviously not pattern for long-term knowledge base (LTKB) facts. As a matter possiblc in common neural networks (as units in a...Conferences on Neural Davis, P. (19W0) Application of op~tical chaos to temporal pattern search in a Networks . Piscataway, NJ. [SC] nonlinear optical...Science Institute PROJECT TITLE: Spatio-temporal Neural Networks for Vision, Reasoning and Rapid Decision Making (N00014-93-1-1149) Number of ONR

Decision Making Associated with Selecting an Integrated or a Discipline Model for Middle School Science Instruction

ERIC Educational Resources Information Center

Brockbank, Brennan R.

2017-01-01

Purpose: This study sought to identify, understand, and describe the decision-making processes used by school districts to determine the middle school science course sequence as part of the adoption of the Next Generation Science Standards. Additionally, this study explored and described the expressed comments, feelings, and beliefs of…

Decentralised water systems: emotional influences on resource decision making.

PubMed

Mankad, Aditi

2012-09-01

The study of emotion has gathered momentum in the field of environmental science, specifically in the context of community resource decision-making. Of particular interest in this review is the potential influence of emotion, risk and threat perception on individuals' decisions to acceptance and adopt decentralised water systems, such as rainwater tanks and greywater systems. The role of message framing is also considered in detail, as well as the influences that different types of framing can have on decision making. These factors are considered as possible predictors for analysing community acceptance of decentralised water in urban environments. Concepts believed to be influenced by emotion, such as trust and framing, are also discussed as potentially meaningful contributors to an overall model of community acceptance of decentralised water. Recommendations are made for how emotion-based concepts, such as risk and threat, can be targeted to facilitate widespread adoption of decentralised systems and how researchers can explore different types of emotions that influence decision making in distinct ways. This review is an important theoretical step in advancing the psycho-social understanding of acceptance and adoption of on-site water sources. Avenues for future research are recommended, including the need for greater theoretical development to encourage future social science research on decentralised systems. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

Medical Decision-Making for Adults Who Lack Decision-Making Capacity and a Surrogate: State of the Science.

PubMed

Kim, Hyejin; Song, Mi-Kyung

2018-01-01

Adults who lack decision-making capacity and a surrogate ("unbefriended" adults) are a vulnerable, voiceless population in health care. But little is known about this population, including how medical decisions are made for these individuals. This integrative review was to examine what is known about unbefriended adults and identify gaps in the literature. Six electronic databases were searched using 4 keywords: "unbefriended," "unrepresented patients," "adult orphans," and "incapacitated patients without surrogates." After screening, the final sample included 10 data-based articles for synthesis. Main findings include the following: (1) various terms were used to refer to adults who lack decision-making capacity and a surrogate; (2) the number of unbefriended adults was sizable and likely to grow; (3) approaches to medical decision-making for this population in health-care settings varied; and (4) professional guidelines and laws to address the issues related to this population were inconsistent. There have been no studies regarding the quality of medical decision-making and its outcomes for this population or societal impact. Extremely limited empirical data exist on unbefriended adults to develop strategies to improve how medical decisions are made for this population. There is an urgent need for research to examine the quality of medical decision-making and its outcomes for this vulnerable population.

Building place-based collaborations to develop high school students' groundwater systems knowledge and decision-making capacity

NASA Astrophysics Data System (ADS)

Podrasky, A.; Covitt, B. A.; Woessner, W.

2017-12-01

The availability of clean water to support human uses and ecological integrity has become an urgent interest for many scientists, decision makers and citizens. Likewise, as computational capabilities increasingly revolutionize and become integral to the practice of science, technology, engineering and math (STEM) disciplines, the STEM+ Computing (STEM+C) Partnerships program seeks to integrate the use of computational approaches in K-12 STEM teaching and learning. The Comp Hydro project, funded by a STEM+C grant from the National Science Foundation, brings together a diverse team of scientists, educators, professionals and citizens at sites in Arizona, Colorado, Maryland and Montana to foster water literacy, as well as computational science literacy, by integrating authentic, place- and data- based learning using physical, mathematical, computational and conceptual models. This multi-state project is currently engaging four teams of six teachers who work during two academic years with educators and scientists at each site. Teams work to develop instructional units specific to their region that integrate hydrologic science and computational modeling. The units, currently being piloted in high school earth and environmental science classes, provide a classroom context to investigate student understanding of how computation is used in Earth systems science. To develop effective science instruction that is rich in place- and data- based learning, effective collaborations between researchers, educators, scientists, professionals and citizens are crucial. In this poster, we focus on project implementation in Montana, where an instructional unit has been developed and is being tested through collaboration among University scientists, researchers and educators, high school teachers and agency and industry scientists and engineers. In particular, we discuss three characteristics of effective collaborative science education design for developing and implementing place- and data- based science education to support students in developing socio-scientific and computational literacy sufficient for making decisions about real world issues such as groundwater contamination. These characteristics include that science education experiences are real, responsive/accessible and rigorous.

Training conservation practitioners to be better decision makers

USGS Publications Warehouse

Johnson, Fred A.; Eaton, Mitchell J.; Williams, James H.; Jensen, Gitte H.; Madsen, Jesper

2015-01-01

Traditional conservation curricula and training typically emphasizes only one part of systematic decision making (i.e., the science), at the expense of preparing conservation practitioners with critical skills in values-setting, working with decision makers and stakeholders, and effective problem framing. In this article we describe how the application of decision science is relevant to conservation problems and suggest how current and future conservation practitioners can be trained to be better decision makers. Though decision-analytic approaches vary considerably, they all involve: (1) properly formulating the decision problem; (2) specifying feasible alternative actions; and (3) selecting criteria for evaluating potential outcomes. Two approaches are available for providing training in decision science, with each serving different needs. Formal education is useful for providing simple, well-defined problems that allow demonstrations of the structure, axioms and general characteristics of a decision-analytic approach. In contrast, practical training can offer complex, realistic decision problems requiring more careful structuring and analysis than those used for formal training purposes. Ultimately, the kinds and degree of training necessary depend on the role conservation practitioners play in a decision-making process. Those attempting to facilitate decision-making processes will need advanced training in both technical aspects of decision science and in facilitation techniques, as well as opportunities to apprentice under decision analysts/consultants. Our primary goal should be an attempt to ingrain a discipline for applying clarity of thought to all decisions.

Experiences in Bridging the Gap Between Science and Decision Making at NASAs GSFC Earth Sciences Data and Information Services Center (GES DISC)

NASA Astrophysics Data System (ADS)

Kempler, S.; Teng, W.; Friedl, L.; Lynnes, C.

2008-12-01

In recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet's natural environment, NASA has implemented the 'Decision Support Through Earth Science Research Results' program to solicit "proposals that develop and demonstrate innovative and practicable applications of NASA Earth science observations and research"that focus on improving decision making activities", as stated in the NASA ROSES-2008, A.18 solicitation. This very successful program has yielded several monitoring, surveillance, and decision support systems through collaborations with benefiting organizations in the areas of agriculture, air quality, disaster management, ecosystems, public health, water resources, and aviation weather. The Goddard Space Flight Center (GSFC) Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), and has had opportune ad hoc collaborations gaining much experience in the formulation, management, development, and implementation of decision support systems utilizing NASA Earth science data. Coupling this experience with the GES DISC's total understanding and vast experience regarding Earth science missions and resulting data and information, including data structures, data usability and interpretation, data interoperability, and information management systems, the GES DISC is in the unique position to more readily identify challenges that come with bringing science data to decision makers. These challenges consist of those that can be met within typical science data usage frameworks, as well as those challenges that arise when utilizing science data for previously unplanned applications, such as decision support systems. The purpose of this presentation is to share GES DISC decision support system project experiences in regards to system sustainability, required data quality (versus timeliness), data provider understanding how decisions are made, which leads to the data receivers willingness to use new types of information to make decisions, as well as other topics. In addition, defining metrics that 'really' evaluate success will be exemplified.

Models for Rational Decision Making. Analysis of Literature and Selected Bibliography. Analysis and Bibliography Series, No. 6.

ERIC Educational Resources Information Center

Hall, John S.

This review analyzes the trend in educational decision making to replace hierarchical authority structures with more rational models for decision making drawn from management science. Emphasis is also placed on alternatives to a hierarchical decision-making model, including governing models, union models, and influence models. A 54-item…

Application of a Sensemaking Approach to Ethics Training in the Physical Sciences and Engineering

NASA Astrophysics Data System (ADS)

Kligyte, Vykinta; Marcy, Richard T.; Waples, Ethan P.; Sevier, Sydney T.; Godfrey, Elaine S.; Mumford, Michael D.; Hougen, Dean F.

2008-06-01

Integrity is a critical determinant of the effectiveness of research organizations in terms of producing high quality research and educating the new generation of scientists. A number of responsible conduct of research (RCR) training programs have been developed to address this growing organizational concern. However, in spite of a significant body of research in ethics training, it is still unknown which approach has the highest potential to enhance researchers' integrity. One of the approaches showing some promise in improving researchers' integrity has focused on the development of ethical decision-making skills. The current effort proposes a novel curriculum that focuses on broad metacognitive reasoning strategies researchers use when making sense of day-to-day social and professional practices that have ethical implications for the physical sciences and engineering. This sensemaking training has been implemented in a professional sample of scientists conducting research in electrical engineering, atmospheric and computer sciences at a large multi-cultural, multi-disciplinary, and multi-university research center. A pre-post design was used to assess training effectiveness using scenario-based ethical decision-making measures. The training resulted in enhanced ethical decision-making of researchers in relation to four ethical conduct areas, namely data management, study conduct, professional practices, and business practices. In addition, sensemaking training led to researchers' preference for decisions involving the application of the broad metacognitive reasoning strategies. Individual trainee and training characteristics were used to explain the study findings. Broad implications of the findings for ethics training development, implementation, and evaluation in the sciences are discussed.

Application of a sensemaking approach to ethics training in the physical sciences and engineering.

PubMed

Kligyte, Vykinta; Marcy, Richard T; Waples, Ethan P; Sevier, Sydney T; Godfrey, Elaine S; Mumford, Michael D; Hougen, Dean F

2008-06-01

Integrity is a critical determinant of the effectiveness of research organizations in terms of producing high quality research and educating the new generation of scientists. A number of responsible conduct of research (RCR) training programs have been developed to address this growing organizational concern. However, in spite of a significant body of research in ethics training, it is still unknown which approach has the highest potential to enhance researchers' integrity. One of the approaches showing some promise in improving researchers' integrity has focused on the development of ethical decision-making skills. The current effort proposes a novel curriculum that focuses on broad metacognitive reasoning strategies researchers use when making sense of day-to-day social and professional practices that have ethical implications for the physical sciences and engineering. This sensemaking training has been implemented in a professional sample of scientists conducting research in electrical engineering, atmospheric and computer sciences at a large multi-cultural, multi-disciplinary, and multi-university research center. A pre-post design was used to assess training effectiveness using scenario-based ethical decision-making measures. The training resulted in enhanced ethical decision-making of researchers in relation to four ethical conduct areas, namely data management, study conduct, professional practices, and business practices. In addition, sensemaking training led to researchers' preference for decisions involving the application of the broad metacognitive reasoning strategies. Individual trainee and training characteristics were used to explain the study findings. Broad implications of the findings for ethics training development, implementation, and evaluation in the sciences are discussed.

Naturalistic decision making in forensic science: toward a better understanding of decision making by forensic team leaders.

PubMed

Helsloot, Ira; Groenendaal, Jelle

2011-07-01

This study uses the naturalistic decision-making (NDM) perspective to examine how Dutch forensic team leaders (i.e., the officers in charge of criminal forensic research from the crime scene until the use of laboratory assistance) make decisions in real-life settings and identifies the contextual factors that might influence those decisions. First, a focus group interview was conducted to identify four NDM mechanisms in day-to-day forensic decision making. Second, a serious game was conducted to examine the influence of three of these contextual mechanisms. The results uncovered that forensic team leaders (i) were attracted to obtain further information when more information was initially made available, (ii) were likely to devote more attention to emotionally charged cases, and (iii) used not only forensic evidence in the decision making but also tactical, unverified information of the police inquiry. Interestingly, the measured contextual influences did not deviate significantly from a control group of laypeople. © 2011 American Academy of Forensic Sciences.

Sustainability rooted in science

NASA Astrophysics Data System (ADS)

Lubchenco, Jane; Barner, Allison K.; Cerny-Chipman, Elizabeth B.; Reimer, Jessica N.

2015-10-01

The United Nations' Sustainable Development Goals emphasize the importance of evidence-based decision-making. This is a clarion call for Earth scientists to contribute directly to the health, prosperity and well-being of all people.

Launching a virtual decision lab: development and field-testing of a web-based patient decision support research platform.

PubMed

Hoffman, Aubri S; Llewellyn-Thomas, Hilary A; Tosteson, Anna N A; O'Connor, Annette M; Volk, Robert J; Tomek, Ivan M; Andrews, Steven B; Bartels, Stephen J

2014-12-12

Over 100 trials show that patient decision aids effectively improve patients' information comprehension and values-based decision making. However, gaps remain in our understanding of several fundamental and applied questions, particularly related to the design of interactive, personalized decision aids. This paper describes an interdisciplinary development process for, and early field testing of, a web-based patient decision support research platform, or virtual decision lab, to address these questions. An interdisciplinary stakeholder panel designed the web-based research platform with three components: a) an introduction to shared decision making, b) a web-based patient decision aid, and c) interactive data collection items. Iterative focus groups provided feedback on paper drafts and online prototypes. A field test assessed a) feasibility for using the research platform, in terms of recruitment, usage, and acceptability; and b) feasibility of using the web-based decision aid component, compared to performance of a videobooklet decision aid in clinical care. This interdisciplinary, theory-based, patient-centered design approach produced a prototype for field-testing in six months. Participants (n = 126) reported that: the decision aid component was easy to use (98%), information was clear (90%), the length was appropriate (100%), it was appropriately detailed (90%), and it held their interest (97%). They spent a mean of 36 minutes using the decision aid and 100% preferred using their home/library computer. Participants scored a mean of 75% correct on the Decision Quality, Knowledge Subscale, and 74 out of 100 on the Preparation for Decision Making Scale. Completing the web-based decision aid reduced mean Decisional Conflict scores from 31.1 to 19.5 (p < 0.01). Combining decision science and health informatics approaches facilitated rapid development of a web-based patient decision support research platform that was feasible for use in research studies in terms of recruitment, acceptability, and usage. Within this platform, the web-based decision aid component performed comparably with the videobooklet decision aid used in clinical practice. Future studies may use this interactive research platform to study patients' decision making processes in real-time, explore interdisciplinary approaches to designing web-based decision aids, and test strategies for tailoring decision support to meet patients' needs and preferences.

End of Life in a Haitian American, Faith-Based Community: Caring for Family and Communal Unity.

PubMed

Ladd, Susan Charlotte; Gordon, Shirley C

This article presents two models resulting from a grounded theory study of the end-of-life decision-making process for Haitian Americans. Successful access to this vulnerable population was achieved through the faith-based community. The first model describes this faith-based community of Haitian Americans. The second model describes the process used by families in this community who must make end-of-life healthcare decisions. Implications for nursing practice and caring science include a need to improve the congruence between the nursing care provided at this vulnerable time and the cultural values of a population.

Preservice Elementary Teachers' Ideas about Scientific Practices

ERIC Educational Resources Information Center

Ricketts, Amy

2014-01-01

With the goal of producing scientifically literate citizens who are able to make informed decisions and reason critically when science intersects with their everyday lives, the National Research Council (NRC) has produced two recent documents that call for a new approach to K-12 science education that is based on scientific practices, crosscutting…

Exploring Preservice Elementary Teachers' Critique and Adaptation of Science Curriculum Materials in Respect to Socioscientific Issues

ERIC Educational Resources Information Center

Forbes, Cory T.; Davis, Elizabeth A.

2008-01-01

The work presented here represents a preliminary effort undertaken to address the role of teachers in supporting students' learning and decision-making about socioscientific issues (SSI) by characterizing preservice elementary teachers' critique and adaptation of SSI-based science curriculum materials and identifying factors that serve to mediate…

Science, precaution, and the politics of technological risk: converging implications in evolutionary and social scientific perspectives.

PubMed

Stirling, Andy

2008-04-01

This paper examines apparent tensions between "science-based," "precautionary," and "participatory" approaches to decision making on risk. Partly by reference to insights currently emerging in evolutionary studies, the present paper looks for ways to reconcile some of the contradictions. First, I argue that technological evolution is a much more plural and open-ended process than is conventionally supposed. Risk politics is thus implicitly as much about social choice of technological pathways as narrow issues of safety. Second, it is shown how conventional "science-based" risk assessment techniques address only limited aspects of incomplete knowledge in complex, dynamic, evolutionary processes. Together, these understandings open the door to more sophisticated, comprehensive, rational, and robust decision-making processes. Despite their own limitations, it is found that precautionary and participatory approaches help to address these needs. A concrete framework is outlined through which the synergies can be more effectively harnessed. By this means, we can hope simultaneously to improve scientific rigor and democratic legitimacy in risk governance.

Enhancing Tissue Engineering and Regenerative Medicine Product Commercialization: The Role of Science in Regulatory Decision-Making for the TE/RM Product Development.

PubMed

Bertram, Timothy A; Johnson, Peter C; Tawil, Bill J; Van Dyke, Mark; Hellman, Kiki B

2015-10-01

TERMIS-AM Industry Committee (TERMIS-AM/IC), in collaboration with the TERMIS-Europe (EU)/IC, conducted a symposium involving the European Medicines Agency and the U.S. Food and Drug Administration (FDA) toward building an understanding of the rational basis for regulatory decision-making and providing a framework for decisions made during the evaluation of safety and efficacy of TE/RM technologies. This symposium was held in August 2012 during the TERMIS-WC in Vienna, Austria. Emerging from this international initiative by the European Union and the United States, representatives from the respective agencies demonstrated that there are ongoing interagency efforts for developing common national practices toward harmonization of regulatory requirements for the TE/RM products. To extend a broad-based understanding of the role of science in regulatory decision-making, TERMIS-AM/IC, in cooperation with the FDA, organized a symposium at the 2014 TERMIS-AM Annual Meeting, which was held in Washington, DC. This event provided insights from leaders in the FDA and TERMIS on the current status of regulatory approaches for the approved TE/RM products, the use of science in making regulatory decisions, and TE/RM technologies that are in the development pipeline to address unmet medical needs. A far-ranging discussion with FDA representatives, industrialists, physicians, regenerative medicine biologists, and tissue engineers considered the gaps in today's scientific and regulatory understanding of TE/RM technologies. The identified gaps represent significant opportunities to advance TE/RM technologies toward commercialization.

Students' Understanding of the Nature of Science and Their Reasoning on Socioscientific Issues: A Web-based Learning Inquiry.

ERIC Educational Resources Information Center

Walker, Kimberly A.; Zeidler, Dana L.

This study was designed to determine how students' engagement in a learning and debate activity on a current scientific controversy influences their understanding of the nature of science and, in turn, informs their decision-making on the issue. Two high school science classrooms, totaling 38 students from 9th through 12th grade, participated in…

The Voice of the Pupils: An Experimental Comparison of Decisions Made by Elected Pupil Councils, Pupils in Referenda, and Teaching Staff

ERIC Educational Resources Information Center

Gilljam, Mikael; Esaiasson, Peter; Lindholm, Torun

2010-01-01

This article tests whether the form of decision-making used in school environments affects pupils' views on the legitimacy of the decisions made, and of the decision-making procedure. Building on political science theory on democratic decision-making, it compares pupils' reactions towards decisions made by pupil councils, by pupils via referendum,…

The Arab-Israeli Conflict: A Decision-Making Game. Revised Edition. Supplementary Empirical Teaching Units in Political Science.

ERIC Educational Resources Information Center

Feste, Karen Ann

The Middle East decision making game has been developed to provide college level political science students with some indication of the complexities of international political situations. The central issue examined in the game is the way in which perceptions of a conflict relate to foreign policy decision. The game is divided into two sections. In…

Understanding medical decision making in hand surgery.

PubMed

Myers, John; McCabe, Steven J

2005-10-01

The practice of medicine takes place in an environment of uncertainty. Expected value decision making, prospect theory, and regret theory are three theories of decision making under uncertainty that may be used to help us learn how patients and physicians make decisions. These theories form the underpinnings of decision analysis and provide the opportunity to introduce the broad discipline of decision science. Because decision analysis and economic analysis are underrepresented in upper extremity surgery, the authors believe these are important areas for future research.

Analytical group decision making in natural resources: methodology and application

Treesearch

Daniel L. Schmoldt; David L. Peterson

2000-01-01

Group decision making is becoming increasingly important in natural resource management and associated scientific applications, because multiple values are treated coincidentally in time and space, multiple resource specialists are needed, and multiple stakeholders must be included in the decision process. Decades of social science research on decision making in groups...

An Introspective Critique of Past, Present, and Future USGS Decision Support

NASA Astrophysics Data System (ADS)

Neff, B. P.; Pavlick, M.

2017-12-01

In response to increasing scrutiny of publicly funded science, the Water Mission Area of USGS is shifting its approach for informing decisions that affect the country. Historically, USGS has focused on providing sound science on cutting edge, societally relevant issues with the expectation that decision makers will take action on this information. In practice, scientists often do not understand or focus on the needs of decision makers and decision makers often cannot or do not utilize information produced by scientists. The Water Mission Area of USGS has recognized that it can better serve the taxpayer by delivering information more relevant to decision making in a form more conducive to its use. To this end, the Water Mission Area of USGS is seeking greater integration with the decision making process to better inform what information it produces. In addition, recognizing that the transfer of scientific knowledge to decision making is fundamentally a social process, USGS is embracing the use of social science to better inform how it delivers scientific information and facilitates its use. This study utilizes qualitative methods to document the evolution of decision support at USGS and provide a rationale for a shift in direction. Challenges to implementation are identified and collaborative opportunities to improve decision making are discussed.

The precautionary principle.

PubMed

Hayes, A Wallace

2005-06-01

The Precautionary Principle in its simplest form states: "When an activity raises threats of harm to human health or the environment, precautionary measures should be taken even if some cause-and-effect relationships are not fully established scientifically". This Principle is the basis for European environmental law, and plays an increasing role in developing environmental health policies as well. It also is used in environmental decision-making in Canada and in several European countries, especially in Denmark, Sweden, and Germany. The Precautionary Principle has been used in the environmental decision-making process and in regulating drugs and other consumer products in the United States. The Precautionary Principle enhances the collection of risk information for, among other items, high production volume chemicals and risk-based analyses in general. It does not eliminate the need for good science or for science-based risk assessments. Public participation is encouraged in both the review process and the decision-making process. The Precautionary Principle encourages, and in some cases may require, transparency of the risk assessment process on health risk of chemicals both for public health and the environment. A debate continues on whether the Principle should embrace the "polluter pays" directive and place the responsibility for providing risk assessment on industry. The best elements of a precautionary approach demand good science and challenge the scientific community to improve methods used for risk assessment.

The Upper San Pedro Partnership: A Case Study of Successful Strategies to Connect Science to Societal Needs

NASA Astrophysics Data System (ADS)

Goodrich, D. C.; Richter, H.; Varady, R.; Browning-Aiken, A.; Shuttleworth, J.

2006-12-01

The Upper San Pedro Partnership (USPP) (http://www.usppartnership.com/) has been in existence since 1998. Its purpose is to coordinate and cooperate in the implementation of comprehensive policies and projects to meet the long-term water needs of residents within the U.S. side of the basin and of the San Pedro Riparian National Conservation Area. The Partnership consists of 21 local, state, and Federal agencies, NGO's and a private water company. In 2004 it was recognized by Congress in Section 321 of Public Law 108-136 and required to make annual reports to Congress on its progress in bringing the basin water budget into balance by 2011. The Partnership is dedicated to science-based decision making. This presentation will provide an overview of the evolution of natural resources research in the binational (U.S.-Mexico) San Pedro Basin into a mature example of integrated science and decision making embodied in the USPP. It will discuss the transition through science and research for understanding; to science for addressing a need; to integrated policy development and science. At each stage the research conducted becomes more interdisciplinary, first across abiotic disciplines (hydrology, remote sensing, atmospheric science), then a merging of abiotic and biotic disciplines (adding ecology and plant physiology), and finally a further merging with the social sciences and policy and decision making for resource management. Federal, university, and NSF SAHRA Science and Technology Center research has been planned and conducted directly with the USPP. Because of the success the San Pedro has been designated as an operational HELP (Hydrology for the Environment, Life, and Policy) demonstration basin—the most advanced category. Lessons learned from this experience will be reviewed with the intent providing guidance to ensure that hydrologic and watershed research is socially and scientifically relevant and will directly address the needs of policy makers and resource managers. Additionally, the successful examples of science-society linkages can provide helpful models for basins, especially transnational basins, elsewhere.

Social Priorities as Data

NASA Astrophysics Data System (ADS)

Grubert, E.

2015-12-01

Decision makers' responses to local risks and expected changes to a community from circumstances like natural hazards, human developments, and demographic changes can greatly affect social and environmental outcomes in a community. Translating physical data based in disciplines like engineering and geosciences into positive outcomes for communities can be challenging and often results in conflict that appears to pit "science" against "the public." Scientists can be reluctant to offer recommendations for action based on their work, often (and often correctly) noting that their role is not to make value judgments for a community - particularly for a community that is not their own. Conversely, decision makers can be frustrated by the lack of guidance they receive to help translate data into effective and acceptable action. The solution posed by this submission, given the goal of co-production of knowledge by scientists and decision makers to foster better community outcomes, is to involve the community directly by integrating social scientific methods that address decision making and community engagement to the scientist-decision maker interaction. Specifically, the missing dataset in many scientist-decision maker interactions is the nature of community priorities. Using scientifically valid methods to rigorously collect and characterize community priorities to help recommend tradeoffs between different outcomes indicated by the work of physical and natural scientists can bridge the gap between science and action by involving the community in the process. This submission presents early work on US preferences for different types of social and environmental outcomes designed to integrate directly with engineering and physical science frameworks like Life Cycle Assessment and Environmental Impact Statements. Cardinal preference data are based on surveys of US adults using tools like the Analytical Hierarchy Process, budget allocation, and ranking.

Shrinking Sea Ice, Thawing Permafrost, Bigger Storms, and Extremely Limited Data - Addressing Information Needs of Stakeholders in Western Alaska Through Participatory Decisions and Collaborative Science.

NASA Astrophysics Data System (ADS)

Murphy, K. A.; Reynolds, J.

2015-12-01

Communities, Tribes, and decision makers in coastal western Alaska are being impacted by declining sea ice, sea level rise, changing storm patterns and intensities, and increased rates of coastal erosion. Relative to their counterparts in the contiguous USA, their ability to plan for and respond to these changes is constrained by the region's generally meager or non-existent information base. Further, the information needs and logistic challenges are of a scale that perhaps can be addressed only through strong, strategic collaboration. Landscape Conservation Cooperatives (LCCs) are fundamentally about applied science and collaboration, especially collaborative decision making. The Western Alaska LCC has established a process of participatory decision making that brings together researchers, agency managers, local experts from Tribes and field specialists to identify and prioritize shared information needs; develop a course of action to address them by using the LCC's limited resources to catalyze engagement, overcome barriers to progress, and build momentum; then ensure products are delivered in a manner that meets decision makers' needs. We briefly review the LCC's activities & outcomes from the stages of (i) collaborative needs assessment (joint with the Alaska Climate Science Center and the Alaska Ocean Observing System), (ii) strategic science activities, and (iii) product refinement and delivery. We discuss lessons learned, in the context of our recent program focused on 'Changes in Coastal Storms and Their Impacts' and current collaborative efforts focused on delivery of Coastal Resiliency planning tools and results from applied science projects. Emphasis is given to the various key interactions between scientists and decision makers / managers that have been promoted by this process to ensure alignment of final products to decision maker needs.

Strategic Decision Making Paradigms: A Primer for Senior Leaders

DTIC Science & Technology

2012-08-01

MAKING Strategic decisions are non-routine and involve both the art of leadership and the science of management. Routine decisions of how to...article are drawn from the social psychology, organizational behavior, sociology, and public administration literature. STRATEGIC DECISION

Self-related factors and decision making styles among early adults.

PubMed

Batool, Naila; Riaz, Muhammad Naveed; Riaz, Muhammad Akram; Akhtar, Masud

2017-05-01

To examine the effect of self-related factors, including self-regulation, self-esteem and self-efficacy, on decision-making styles of early adults. The cross-sectional study was conducted from February to August, 2014 at four universities of Islamabad, Pakistan, and comprised adult students of both Social and Natural sciences. Data was collected through Self-Regulation Questionnaire, Self-Esteem Scale, Self-Efficacy Scale and the General Decision Making Styles Questionnaire. Data was subjected to multivariate regression analysis. Of the 300 participants, 160(53%) were men and 140(47%) were women. The overall mean age was 22.68±5.96 years. Besides, 170(56%) were studying Social sciences and 130(44%) Natural sciences. Self-regulation, self-esteem and self-efficacy positively predicted rational and intuitive style and negatively predicted avoidant and spontaneous style. Self-efficacy and self-regulation negatively predicted dependent style. Ensuring positive self-related factors affected adults' effective decision-making choices.

Building the Capacity for Climate Services: Thoughts on Training Next Generation Climate Science Integrators

NASA Astrophysics Data System (ADS)

Garfin, G. M.; Brugger, J.; Gordon, E. S.; Barsugli, J. J.; Rangwala, I.; Travis, W.

2015-12-01

For more than a decade, stakeholder needs assessments and reports, including the recent National Climate Assessment, have pointed out the need for climate "science translators" or "science integrators" who can help bridge the gap between the cultures and contexts of researchers and decision-makers. Integration is important for exchanging and enhancing knowledge, building capacity to use climate information in decision making, and fostering more robust planning for decision-making in the context of climate change. This talk will report on the characteristics of successful climate science integrators, and a variety of models for training the upcoming generation of climate science integrators. Science integration characteristics identified by an experienced vanguard in the U.S. include maintaining credibility in both the scientific and stakeholder communities, a basic respect for stakeholders demonstrated through active listening, and a deep understanding of the decision-making context. Drawing upon the lessons of training programs for Cooperative Extension, public health professionals, and natural resource managers, we offer ideas about training next generation climate science integrators. Our model combines training and development of skills in interpersonal relations, communication of science, project implementation, education techniques and practices - integrated with a strong foundation in disciplinary knowledge.

Linking Space Weather Science and Decision Making (Invited)

NASA Astrophysics Data System (ADS)

Fisher, G. M.

2009-12-01

Linking scientific knowledge to decision making is a challenge for both the science and policy communities. In particular, in the field of space weather, there are unique challenges such as decision makers may not know that space has weather that poses risks to our technologically-dependent economy. Additionally, in an era of limited funds for scientific research, hazards posed by other natural disasters such as flooding and earthquakes are by contrast well known to policy makers, further making the importance of space weather research and monitoring a tough sell. Today, with industries and individuals more dependent on the Global Positioning System, wireless technology, and satellites than ever before, any disruption or inaccuracy can result in severe economic impacts. Therefore, it is highly important to understand how space weather science can most benefit society. The key to connecting research to decision making is to ensure that the information is salient, credible, and legitimate. To achieve this, scientists need to understand the decision makers' perspectives, including their language and culture, and recognize that their needs may evolve. This presentation will take a closer look at the steps required to make space weather research, models, and forecasts useful to decision makers and ultimately, benefit society.

Nature of Science and Decision-Making

ERIC Educational Resources Information Center

Khishfe, Rola

2012-01-01

The study investigated the relationship of nature of science (NOS) instruction and students' decision-making (DM) related to a controversial socioscientific issue about genetically modified food. Participants were ninth-grade students in four intact sections (two regulars and two honors) in a public high school in the Midwest. All four groups were…

Decision Making for the Environment: Social and Behavioral Science Research Priorities

ERIC Educational Resources Information Center

Brewer, Garry D., Ed.; Stern, Paul C., Ed.

2005-01-01

With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. "Decision Making for the Environment: Social and Behavioral Science Research Priorities" is the result…

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

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

Brewer, Jeffrey D.

The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate themore » wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.« less

Enhancing Decision-Making in STSE Education by Inducing Reflection and Self-Regulated Learning

NASA Astrophysics Data System (ADS)

Gresch, Helge; Hasselhorn, Marcus; Bögeholz, Susanne

2017-02-01

Thoughtful decision-making to resolve socioscientific issues is central to science, technology, society, and environment (STSE) education. One approach for attaining this goal involves fostering students' decision-making processes. Thus, the present study explores whether the application of decision-making strategies, combined with reflections on the decision-making processes of others, enhances decision-making competence. In addition, this study examines whether this process is supported by elements of self-regulated learning, i.e., self-reflection regarding one's own performance and the setting of goals for subsequent tasks. A computer-based training program which involves the resolution of socioscientific issues related to sustainable development was developed in two versions: with and without elements of self-regulated learning. Its effects on decision-making competence were analyzed using a pre test-post test follow-up control-group design ( N = 242 high school students). Decision-making competence was assessed using an open-ended questionnaire that focused on three facets: consideration of advantages and disadvantages, metadecision aspects, and reflection on the decision-making processes of others. The findings suggest that students in both training groups incorporated aspects of metadecision into their statements more often than students in the control group. Furthermore, both training groups were more successful in reflecting on the decision-making processes of others. The students who received additional training in self-regulated learning showed greater benefits in terms of metadecision aspects and reflection, and these effects remained significant two months later. Overall, our findings demonstrate that the application of decision-making strategies, combined with reflections on the decision-making process and elements of self-regulated learning, is a fruitful approach in STSE education.

Neural Signatures of Controlled and Automatic Retrieval Processes in Memory-based Decision-making.

PubMed

Khader, Patrick H; Pachur, Thorsten; Weber, Lilian A E; Jost, Kerstin

2016-01-01

Decision-making often requires retrieval from memory. Drawing on the neural ACT-R theory [Anderson, J. R., Fincham, J. M., Qin, Y., & Stocco, A. A central circuit of the mind. Trends in Cognitive Sciences, 12, 136-143, 2008] and other neural models of memory, we delineated the neural signatures of two fundamental retrieval aspects during decision-making: automatic and controlled activation of memory representations. To disentangle these processes, we combined a paradigm developed to examine neural correlates of selective and sequential memory retrieval in decision-making with a manipulation of associative fan (i.e., the decision options were associated with one, two, or three attributes). The results show that both the automatic activation of all attributes associated with a decision option and the controlled sequential retrieval of specific attributes can be traced in material-specific brain areas. Moreover, the two facets of memory retrieval were associated with distinct activation patterns within the frontoparietal network: The dorsolateral prefrontal cortex was found to reflect increasing retrieval effort during both automatic and controlled activation of attributes. In contrast, the superior parietal cortex only responded to controlled retrieval, arguably reflecting the sequential updating of attribute information in working memory. This dissociation in activation pattern is consistent with ACT-R and constitutes an important step toward a neural model of the retrieval dynamics involved in memory-based decision-making.

Older and wiser? An affective science perspective on age-related challenges in financial decision making

PubMed Central

Kensinger, Elizabeth A.; Munnell, Alicia H.; Sass, Steven A.; Dickerson, Brad C.; Wright, Christopher I.; Barrett, Lisa Feldman

2011-01-01

Financial planning decisionss are fundamentally affective in nature; they are decisions related to money, longevity and quality of life. Over the next several decades people will be increasingly responsible for managing their own assets and investments, and they will be subject to the affective influences on active, personal decision-making. Many of these crucial decisions are made and revised across the lifespan, including when to buy or sell a home, how to save for childrens’ education, how to manage healthcare costs, when to retire, how much to save for retirement and how to allocate retirement funds. As average life expectancy increases, many retirees will be faced with inadequate savings to live comfortably until the end of their lives. In the current article, we examine the problems of and potential solutions to inadequate financial planning through the lens of affective science, with an emphasis on how brain-based changes in affective processing with age might contribute to the challenge of financial planning. PMID:20587596

Older and wiser? An affective science perspective on age-related challenges in financial decision making.

PubMed

Weierich, Mariann R; Kensinger, Elizabeth A; Munnell, Alicia H; Sass, Steven A; Dickerson, Brad C; Wright, Christopher I; Barrett, Lisa Feldman

2011-04-01

Financial planning decisionss are fundamentally affective in nature; they are decisions related to money, longevity and quality of life. Over the next several decades people will be increasingly responsible for managing their own assets and investments, and they will be subject to the affective influences on active, personal decision-making. Many of these crucial decisions are made and revised across the lifespan, including when to buy or sell a home, how to save for childrens' education, how to manage healthcare costs, when to retire, how much to save for retirement and how to allocate retirement funds. As average life expectancy increases, many retirees will be faced with inadequate savings to live comfortably until the end of their lives. In the current article, we examine the problems of and potential solutions to inadequate financial planning through the lens of affective science, with an emphasis on how brain-based changes in affective processing with age might contribute to the challenge of financial planning.

[Involving patients, the insured and the general public in healthcare decision making].

PubMed

Mühlbacher, Axel C; Juhnke, Christin

2016-01-01

No doubt, the public should be involved in healthcare decision making, especially when decision makers from politics and self-government agencies are faced with the difficult task of setting priorities. There is a general consensus on the need for a stronger patient centeredness, even in HTA processes, and internationally different ways of public participation are discussed and tested in decision making processes. This paper describes how the public can be involved in different decision situations, and it shows how preference measurement methods are currently being used in an international context to support decision making. It distinguishes between different levels of decision making on health technologies: approval, assessment, pricing, and finally utilization. The range of participation efforts extends from qualitative surveys of patients' needs (Citizen Councils of NICE in the UK) to science-based documentation of quantitative patient preferences, such as in the current pilot projects of the FDA in the US and the EMA at the European level. Possible approaches for the elicitation and documentation of preference structures and trade-offs in relation to alternate health technologies are decision aids, such as multi-criteria decision analysis (MCDA), that provide the necessary information for weighting and prioritizing decision criteria. Copyright © 2015. Published by Elsevier GmbH.

Effects of Expertise and Cognitive Style on Information Use in Tactical Decision Making

DTIC Science & Technology

1988-06-01

environmental situation. Demographic Characteristics Age Gender Rank/Command Level 5 Personality Characteristics Decision making style Cognitive style Learning...individuals with diverse decision making patterns to use a standard approach will adversely affect their decision making abilities. Further, the findings...Minneapolis MN: University of Minnesota, Cognitive, Science Research Group. Karp, S.A. (1963). Field dependence and overcoming embeddedness . J. Consult

Information sources in science and technology in Finland

NASA Technical Reports Server (NTRS)

Haarala, Arja-Riitta

1994-01-01

Finland poses some problems to be overcome in the field of scientific and technical information: a small user community which makes domestic systems costly; great distances within the country between users and suppliers of information; great distances to international data systems and large libraries abroad; and inadequate collections of scientific and technical information. The national bibliography Fennica includes all books and journals published in Finland. Data base services available in Finland include: reference data bases in science and technology; data banks for decision making such as statistical time series or legal proceedings; national bibliographies; and library catalogs.

Supporting Students with Disabilities Entering the Science, Technology, Engineering, and Mathematics Field Disciplines

NASA Astrophysics Data System (ADS)

Dishauzi, Karen M.

Extensive research exists on female, African American, and Hispanic students pursuing Science, Technology, Engineering and Mathematics (STEM) field disciplines. However, little research evaluates students with disabilities and career decision-making relating to STEM field disciplines. This study explored the career decision-making experiences and self-efficacy for students with disabilities. The purpose of this research study was to document experiences and perceptions of students with disabilities who pursue, and may consider pursuing, careers in the STEM field disciplines by exploring the career decision-making self-efficacy of students with disabilities. This study documented the level of influence that the students with disabilities had or may not have had encountered from parents, friends, advisors, counselors, and instructors as they managed their decision-making choice relating to their academic major/career in the STEM or non-STEM field disciplines. A total of 85 respondents of approximately 340 students with disabilities at one Midwestern public university completed a quantitatively designed survey instrument. The Career Decision-Making Self-Efficacy Scale-Short Form by Betz and Hackett was the instrument used, and additional questions were included in the survey. Data analysis included descriptive statistics and analysis of variance. Based upon the results, college students with disabilities are not currently being influenced by individuals and groups of individuals to pursue the STEM field disciplines. This is a cohort of individuals who can be marketed to increase enrollment in STEM programs at academic institutions. This research further found that gender differences at the institution under study did not affect the career decision-making self-efficacy scores. The men did not score any higher in confidence in career decision-making than the women. Disability type did not significantly affect the relationship between the Career Decision-Making Self-Efficacy Total Scores or college major choice. Of the three disability types represented more frequently, the Mental Health disability was found to be a growing disability at the institution under study. This research was found to be beneficial in the documentation of specific levels of influence perceived by students with disabilities from parents, friends, advisors, counselors, and instructors that related to their career decision-making and academic major choices.

Scientific integrity memorandum

NASA Astrophysics Data System (ADS)

Showstack, Randy

2009-03-01

U.S. President Barack Obama signed a presidential memorandum on 9 March to help restore scientific integrity in government decision making. The memorandum directs the White House Office of Science and Technology Policy to develop a strategy within 120 days that ensures that "the selection of scientists and technology professionals for science and technology positions in the executive branch is based on those individuals' scientific and technological knowledge, credentials, and experience; agencies make available to the public the scientific or technological findings or conclusions considered or relied upon in policy decisions; agencies use scientific and technological information that has been subject to well-established scientific processes such as peer review; and agencies have appropriate rules and procedures to ensure the integrity of the scientific process within the agency, including whistleblower protection."

Evaluation of the Science Enrichment Activities (SEA) Program: A Decision Oriented Model.

ERIC Educational Resources Information Center

Linn, Marcia C.

1978-01-01

Three questions guided an evaluation of sixth and eighth grade science enrichment activities: (1) Does a free choice interactive program affect cognitive abilities? (2) Do students in a free choice program make predictable selections of activities based on their age, sex, or ability level? and (3) Are specific student choices associated with…

Student Difficulties in Socio-Scientific Argumentation and Decision-Making Research Findings: Crossing the Borders of Two Research Lines

ERIC Educational Resources Information Center

Acar, Omer; Turkmen, Lutfullah; Roychoudhury, Anita

2010-01-01

Students' poor argumentation in the context of socio-scientific issues has become a concern in science education. Identified problems associated with student argumentation in socio-scientific issues are misevaluation of evidence, naive nature of science conceptualizations, and inappropriate use of value-based reasoning. In this theoretical paper,…

Curriculum Reform in Library and Information Science Education by Evidence-Based Decision Making

ERIC Educational Resources Information Center

Toshimori, Atsushi; Mizoue, Chieko; Matsumoto, Makoto

2011-01-01

The student surveys are conducted to better understand the student's views and help restructure curriculum. This article explored characteristics of students of the College of Knowledge and Library Sciences (KLIS) at the University of Tsukuba in Japan. The KLIS conducted two kinds of student surveys in 2009 and 2010: a) a standardized survey and…

Moral and Ethical Dimensions of Socioscientific Decision-Making as Integral Components of Scientific Literacy

ERIC Educational Resources Information Center

Sadler, Troy D.

2004-01-01

Science educators have appropriated many meanings for the phrase "scientific literacy" (Champagne & Lovitts, 1989). This paper advances an argument that in order to maintain the usefulness of such a malleable phrase, its users must explicitly address the context of its use. Based on the vision of science education articulated in standards…

Co-producing resilient solutions to climate change: Bridging the gap between science and decision-making around nexus issues

NASA Astrophysics Data System (ADS)

Howarth, C.

2016-12-01

The nexus represents a multi-dimensional means of scientific enquiry encapsulating the complex and non-linear interactions between water, energy, food, environment with the climate, and wider implications for society. These resources are fundamental for human life but are negatively affected by climate change. Methods of analysis, which are currently used, were not built to represent complex systems and are insufficiently equipped to understand positive and negative externalities generated by interactions among different stakeholders involved in the nexus. In addition misalignment between the science that scientists produce and the evidence decision-makers need leads to a range of complexities within the science-policy interface. Adopting a bottom-up, participative approach, the results of five themed workshops organized in the UK (focusing on: shocks and hazards, infrastructure, local economy, governance and governments, finance and insurance) featuring 80 stakeholders from academia, government and industry allow us to map perceptions of opportunities and challenges of better informing decision making on climate change when there is a strong disconnect between the evidence scientists provide and the actions decision makers take. The research identified key areas where gaps could be bridged between science and action and explores how a knowledge co-production approach can help identify opportunities for building a more effective and legitimate policy agenda to face climate risks. Concerns, barriers and opportunities to better inform decision making centred on four themes: communication and collaboration, decision making processes, social and cultural dimensions, and the nature of responses to nexus shocks. In so doing, this analysis provides an assessment of good practice on climate decision-making and highlights opportunities for improvement to bridge gaps in the science-policy interface

The decision-making matrix of propensity to outsourcing hospital services in Bandar Abbas, Iran.

PubMed

Hayati, Ramin; Setoodehzadeh, Fateme; Heydarvand, Sanaz; Khammarnia, Mohammad; Ravangard, Ramin; Sadeghi, Ahmad; Sobhani, Ghasem

2015-12-01

To determine the level of managers' propensity for outsourcing the services in hospitals using decision-making matrix. The applied, cross-sectional study was conducted at three hospitals affiliated to Bandar Abbas University of Medical Sciences, Iran, in 2013, and comprised managers and employees of four service units: radiology, laboratory, nursing, and nutrition services. Data was collected using two questionnaires and face-to-face interviews. Data was analysed using SPSS 16 and by using decision-making matrix. Of the 122 subjects in the study, 12(9.8%) were managers and 110(90.2%) were other employees. The highest and lowest propensities for outsourcing were related to nutrition (66.6%) and nursing services one (8.33%). The decision-making matrix showed low outsourcing of the nursing, radiology, and laboratory services based on the services' features. However, there were difference between the results obtained from laboratory service decision-making matrix and the propensity for laboratory service outsourcing. The difference between the results obtained from the matrix and managers' viewpoint can be due to the lack of managers' sufficient attention to the features of hospital services when making decisions on outsourcing them.

Contextual influences on animal decision-making: Significance for behavior-based wildlife conservation and management.

PubMed

Owen, Megan A; Swaisgood, Ronald R; Blumstein, Daniel T

2017-01-01

Survival and successful reproduction require animals to make critical decisions amidst a naturally dynamic environmental and social background (i.e. "context"). However, human activities have pervasively, and rapidly, extended contextual variation into evolutionarily novel territory, potentially rendering evolved animal decision-making mechanisms and strategies maladaptive. We suggest that explicitly focusing on animal decision-making (ADM), by integrating and applying findings from studies of sensory ecology, cognitive psychology, behavioral economics and eco-evolutionary strategies, may enhance our understanding of, and our ability to predict how, human-driven changes in the environment and population demography will influence animal populations. Fundamentally, the decisions animals make involve evolved mechanisms, and behaviors emerge from the combined action of sensory integration, cognitive mechanisms and strategic rules of thumb, and any of these processes may have a disproportionate influence on behavior. Although there is extensive literature exploring ADM, it generally reflects a canalized, discipline-specific approach that lacks a unified conceptual framework. As a result, there has been limited application of ADM theory and research findings into predictive models that can enhance management outcomes, even though it is likely that the relative resilience of species to rapid environmental change is fundamentally a result of how ADM is linked to contextual variation. Here, we focus on how context influences ADM, and highlight ideas and results that may be most applicable to conservation biology. © 2016 International Society of Zoological Sciences, Institute of Zoology/Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

Grade 8 students' capability of analytical thinking and attitude toward science through teaching and learning about soil and its' pollution based on science technology and society (STS) approach

NASA Astrophysics Data System (ADS)

Boonprasert, Lapisarin; Tupsai, Jiraporn; Yuenyong, Chokchai

2018-01-01

This study reported Grade 8 students' analytical thinking and attitude toward science in teaching and learning about soil and its' pollution through science technology and society (STS) approach. The participants were 36 Grade 8 students in Naklang, Nongbualumphu, Thailand. The teaching and learning about soil and its' pollution through STS approach had carried out for 6 weeks. The soil and its' pollution unit through STS approach was developed based on framework of Yuenyong (2006) that consisted of five stages including (1) identification of social issues, (2) identification of potential solutions, (3) need for knowledge, (4) decision-making, and (5) socialization stage. Students' analytical thinking and attitude toward science was collected during their learning by participant observation, analytical thinking test, students' tasks, and journal writing. The findings revealed that students could gain their capability of analytical thinking. They could give ideas or behave the characteristics of analytical thinking such as thinking for classifying, compare and contrast, reasoning, interpreting, collecting data and decision making. Students' journal writing reflected that the STS class of soil and its' pollution motivated students. The paper will discuss implications of these for science teaching and learning through STS in Thailand.

UQ for Decision Making: How (at least five) Kinds of Probability Might Come Into Play

NASA Astrophysics Data System (ADS)

Smith, L. A.

2013-12-01

In 1959 IJ Good published the discussion "Kinds of Probability" in Science. Good identified (at least) five kinds. The need for (at least) a sixth kind of probability when quantifying uncertainty in the context of climate science is discussed. This discussion brings out the differences in weather-like forecasting tasks and climate-links tasks, with a focus on the effective use both of science and of modelling in support of decision making. Good also introduced the idea of a "Dynamic probability" a probability one expects to change without any additional empirical evidence; the probabilities assigned by a chess playing program when it is only half thorough its analysis being an example. This case is contrasted with the case of "Mature probabilities" where a forecast algorithm (or model) has converged on its asymptotic probabilities and the question hinges in whether or not those probabilities are expected to change significantly before the event in question occurs, even in the absence of new empirical evidence. If so, then how might one report and deploy such immature probabilities in scientific-support of decision-making rationally? Mature Probability is suggested as a useful sixth kind, although Good would doubtlessly argue that we can get by with just one, effective communication with decision makers may be enhanced by speaking as if the others existed. This again highlights the distinction between weather-like contexts and climate-like contexts. In the former context one has access to a relevant climatology (a relevant, arguably informative distribution prior to any model simulations), in the latter context that information is not available although one can fall back on the scientific basis upon which the model itself rests, and estimate the probability that the model output is in fact misinformative. This subjective "probability of a big surprise" is one way to communicate the probability of model-based information holding in practice, the probability that the information the model-based probability is conditioned on holds. It is argued that no model-based climate-like probability forecast is complete without a quantitative estimate of its own irrelevance, and that the clear identification of model-based probability forecasts as mature or immature, are critical elements for maintaining the credibility of science-based decision support, and can shape uncertainty quantification more widely.

A Comparison of the Effects of Ethics Training on International and US Students.

PubMed

Steele, Logan M; Johnson, James F; Watts, Logan L; MacDougall, Alexandra E; Mumford, Michael D; Connelly, Shane; Lee Williams, T H

2016-08-01

As scientific and engineering efforts become increasingly global in nature, the need to understand differences in perceptions of research ethics issues across countries and cultures is imperative. However, investigations into the connection between nationality and ethical decision-making in the sciences have largely generated mixed results. In Study 1 of this paper, a measure of biases and compensatory strategies that could influence ethical decisions was administered. Results from this study indicated that graduate students from the United States and international graduate students studying in the US are prone to different biases. Based on these findings, recommendations are made for developing ethics education interventions to target these decision-making biases. In Study 2, we employed an ethics training intervention based on ethical sensemaking and used a well-established measure of ethical decision-making that more fully captures the content of ethical judgment. Similar to Study 1, the results obtained in this study suggest differences do exist between graduate students from the US and international graduate students in ethical decision-making prior to taking the research ethics training. However, similar effects were observed for both groups following the completion of the ethics training intervention.

The loss of reason in patient decision aid research: do checklists damage the quality of informed choice interventions?

PubMed

Bekker, Hilary L

2010-03-01

To discuss whether using the International Patient Decision Aids Standards (IPDAS) Collaboration checklist as a gold standard to judge interventions' quality is premature and potentially detrimental to the validity of resources designed to help patients make treatment choices. Conceptual review integrating the science behind individuals' decision making with the demands of designing complex, healthcare interventions. Patient decision aids are promoted as interventions to help professionals engage in shared and/or patient-centred care. The IPDAS domains were informed by experts' opinions of best practice. Decision scientists study how individuals make decisions, what biases their choices and how best to support decisions. There is debate from decision scientists about which component parts are the active ingredients that help people make decisions. Interventions to help patients make choices have different purposes, component parts and outcomes to those facilitating professional-patient communications. The IPDAS checklist will change to respond to new evidence from the decision sciences. Adhering uncritically to the IPDAS checklist may reduce service variation but is not sufficient to ensure interventions enable good patient decision making. Developers must be encouraged to reason about the IPDAS checklist to identify those component parts that do (not) meet their intervention's purpose. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

A Framework for the Next Generation of Risk Science

PubMed Central

Krewski, Daniel; Andersen, Melvin E.; Paoli, Gregory M.; Chiu, Weihsueh A.; Al-Zoughool, Mustafa; Croteau, Maxine C.; Burgoon, Lyle D.; Cote, Ila

2014-01-01

Objectives: In 2011, the U.S. Environmental Protection Agency initiated the NexGen project to develop a new paradigm for the next generation of risk science. Methods: The NexGen framework was built on three cornerstones: the availability of new data on toxicity pathways made possible by fundamental advances in basic biology and toxicological science, the incorporation of a population health perspective that recognizes that most adverse health outcomes involve multiple determinants, and a renewed focus on new risk assessment methodologies designed to better inform risk management decision making. Results: The NexGen framework has three phases. Phase I (objectives) focuses on problem formulation and scoping, taking into account the risk context and the range of available risk management decision-making options. Phase II (risk assessment) seeks to identify critical toxicity pathway perturbations using new toxicity testing tools and technologies, and to better characterize risks and uncertainties using advanced risk assessment methodologies. Phase III (risk management) involves the development of evidence-based population health risk management strategies of a regulatory, economic, advisory, community-based, or technological nature, using sound principles of risk management decision making. Conclusions: Analysis of a series of case study prototypes indicated that many aspects of the NexGen framework are already beginning to be adopted in practice. Citation: Krewski D, Westphal M, Andersen ME, Paoli GM, Chiu WA, Al-Zoughool M, Croteau MC, Burgoon LD, Cote I. 2014. A framework for the next generation of risk science. Environ Health Perspect 122:796–805; http://dx.doi.org/10.1289/ehp.1307260 PMID:24727499

Group decision-making techniques for natural resource management applications

USGS Publications Warehouse

Coughlan, Beth A.K.; Armour, Carl L.

1992-01-01

This report is an introduction to decision analysis and problem-solving techniques for professionals in natural resource management. Although these managers are often called upon to make complex decisions, their training in the natural sciences seldom provides exposure to the decision-making tools developed in management science. Our purpose is to being to fill this gap. We present a general analysis of the pitfalls of group problem solving, and suggestions for improved interactions followed by the specific techniques. Selected techniques are illustrated. The material is easy to understand and apply without previous training or excessive study and is applicable to natural resource management issues.

Basic Confidence Predictors of Career Decision-Making Self-Efficacy

ERIC Educational Resources Information Center

Paulsen, Alisa M.; Betz, Nancy E.

2004-01-01

The extent to which Basic Confidence Scales predicted career decision-making self-efficacy was studied in a sample of 627 undergraduate students. Six confidence variables accounted for 49% of the variance in career decision-making self-efficacy. Leadership confidence was the most important, but confidence in science, mathematics, writing, using…

77 FR 4319 - Notification of Two Public Teleconferences of the Science Advisory Board Ecological Processes and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-27

..., ``Integrating Ecological Assessment and Decision-Making at EPA, 2011 RAF Ecological Assessment Action Plan... the EPA Risk Assessment Forum (RAF) document, ``Integrating Ecological Assessment and Decision-Making... Ecological Risk Assessment in Environmental Decision-Making'' (EPA-SAB-08-002), the EPA Risk Assessment Forum...

77 FR 22316 - Notification of a Public Teleconference of the Science Advisory Board Ecological Processes and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-13

...) document, ``Integrating Ecological Assessment and Decision-Making at EPA, 2011 RAF Ecological Assessment... document, ``Integrating Ecological Assessment and Decision- Making at EPA, 2011 RAF Ecological Assessment... review comments on the EPA RAF draft document ``Integrating Ecological Assessment and Decision-Making at...

Experiences in Bridging the Gap between Science and Decision Making at NASA's GSFC Earth Science Data and Information Services Center (GES DISC)

NASA Technical Reports Server (NTRS)

Kempler, Steven; Teng, Bill; Friedl, Lawrence; Lynnes, Chris; Leptoukh, Gregory

2008-01-01

Recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet s natural environment, NASA has implemented the Decision Support Through Earth Science Research Results program (NASA ROSES solicitations). a) This successful program has yielded several monitoring, surveillance, and decision support systems through collaborations with benefiting organizations. b) The Goddard Space Flight Center (GSFC) Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), and has had opportune ad hoc collaborations gaining much experience in the formulation, management, development, and implementation of decision support systems utilizing NASA Earth science data. c) In addition, GES DISC s understanding of Earth science missions and resulting data and information, including data structures, data usability and interpretation, data interoperability, and information management systems, enables the GES DISC to identify challenges that come with bringing science data to decision makers. d) The purpose of this presentation is to share GES DISC decision support system project experiences in regards to system sustainability, required data quality (versus timeliness), data provider understanding of how decisions are made, and the data receivers willingness to use new types of information to make decisions, as well as other topics. In addition, defining metrics that really evaluate success will be exemplified.

Cognitive Phenotypes and the Evolution of Animal Decisions.

PubMed

Mendelson, Tamra C; Fitzpatrick, Courtney L; Hauber, Mark E; Pence, Charles H; Rodríguez, Rafael L; Safran, Rebecca J; Stern, Caitlin A; Stevens, Jeffrey R

2016-11-01

Despite the clear fitness consequences of animal decisions, the science of animal decision making in evolutionary biology is underdeveloped compared with decision science in human psychology. Specifically, the field lacks a conceptual framework that defines and describes the relevant components of a decision, leading to imprecise language and concepts. The 'judgment and decision-making' (JDM) framework in human psychology is a powerful tool for framing and understanding human decisions, and we apply it here to components of animal decisions, which we refer to as 'cognitive phenotypes'. We distinguish multiple cognitive phenotypes in the context of a JDM framework and highlight empirical approaches to characterize them as evolvable traits. Copyright © 2016 Elsevier Ltd. All rights reserved.

Value-Based Reimbursement: Impact of Curtailing Physician Autonomy in Medical Decision Making.

PubMed

Gupta, Dipti; Karst, Ingolf; Mendelson, Ellen B

2016-02-01

In this article, we define value in the context of reimbursement and explore the effect of shifting reimbursement paradigms on the decision-making autonomy of a women's imaging radiologist. The current metrics used for value-based reimbursement such as report turnaround time are surrogate measures that do not measure value directly. The true measure of a physician's value in medicine is accomplishment of better health outcomes, which, in breast imaging, are best achieved with a physician-patient relationship. Complying with evidence-based medicine, which includes data-driven best clinical practices, a physician's clinical expertise, and the patient's values, will improve our science and preserve the art of medicine.

Developing Decision-Making Skills for Socio-Scientific Issues

ERIC Educational Resources Information Center

Lee, Yeung Chung

2007-01-01

The ability to make informed decisions on science-related social issues is considered an important attribute of scientific literacy. Literature to inform science educators how to bridge the gap between rhetoric and practice--and to assist them in developing this attribute in their students--burgeons. In view of the great diversity of…

Fire science application and integration in support of decision making

Treesearch

Tom Zimmerman

2011-01-01

Wildland fire management in the United States has historically been a challenging and complex program governed by a multitude of factors including situational status, objectives, operational capability, science and technology, and changes and advances in all these factors. The improvement and advancement of risk-informed decision making has the potential to improve...

The Use of Information by Policymakers at the Local Community Level.

ERIC Educational Resources Information Center

Florio, Evelyn; DeMartini, Joseph R.

1993-01-01

Discussion of decision making focuses on a study that was conducted to examine how policymakers at the local community level use social science information in making decisions. The use of social science information and other information sources in two communities examining health care issues is described. (Contains 18 references.) (LRW)

The Evaluation of Role-Playing in the Context of Teaching Climate Change

ERIC Educational Resources Information Center

Belova, Nadja; Eilks, Ingo; Feierabend, Timo

2015-01-01

Role-plays are a common pedagogical tool in the Social Sciences. As an imitation of societal practices, role-plays are thought to support the development of argumentation and decision-making skills among learners. However, argumentation and decision making are also goals in science education in general and in socioscientific issues-oriented…

Ecosystem Services in Environmental Science Literacy

ERIC Educational Resources Information Center

Ruppert, John Robert

2015-01-01

Human beings depend on a set of benefits that emerge from functioning ecosystems, termed Ecosystem Services (ES), and make decisions in everyday life that affect these ES. Recent advancements in science have led to an increasingly sophisticated understanding of ES and how they can be used to inform environmental decision-making. Following suit, US…

Unpacking the Relationship between Science Education and Applied Scientific Literacy

ERIC Educational Resources Information Center

Crowell, Amanda; Schunn, Christian

2016-01-01

Scientific literacy has many meanings: it can be thought of as foundational knowledge, foundational critical thinking skills, or the application of these two foundations to everyday decision making. Here, we examine the far transfer scenario: do increases in science education lead to everyday decision-making becoming more consistent with consensus…

Evaluating the best available social science for natural resource management decision-making

Treesearch

Susan Charnley; Courtney Carothers; Terre Satterfield; Arielle Levine; Melissa R. Poe; Karma Norman; Jamie Donatuto; Sara Jo Breslow; Michael B. Mascia; Phillip S. Levin; Xavier Basurto; Christina C. Hicks; Carlos García-Quijano; Kevin St. Martin

2017-01-01

Increasing recognition of the human dimensions of natural resource management issues, and of social and ecological sustainability and resilience as being inter-related, highlights the importance of applying social science to natural resource management decision-making. Moreover, a number of laws and regulations require natural resource management agencies to consider...

Actionable Science Lessons Emerging from the Department of Interior Climate Science Center Network

NASA Astrophysics Data System (ADS)

McMahon, G.; Meadow, A. M.; Mikels-Carrasco, J.

2015-12-01

The DOI Advisory Committee on Climate Change and Natural Resource Science (ACCCNRS) has recommended that co-production of actionable science be the core programmatic focus of the Climate Science Center enterprise. Efforts by the Southeast Climate Science Center suggest that the complexity of many climate adaptation decision problems (many stakeholders that can influence implementation of a decision; the problems that can be viewed at many scales in space and time; dynamic objectives with competing values; complex, non-linear systems) complicates development of research-based information that scientists and non-scientists view as comprehensible, trustworthy, legitimate, and accurate. Going forward, organizers of actionable science efforts should consider inclusion of a broad set of stakeholders, beyond formal decisionmakers, and ensure that sufficient resources are available to explore the interests and values of this broader group. Co-produced research endeavors should foster agency and collaboration across a wide range of stakeholders. We recognize that stakeholder agency may be constrained by scientific or political power structures that limit the ability to initiate discussion, make claims, and call things into question. Co-production efforts may need to be preceded by more descriptive assessments that summarize existing climate science in ways that stakeholders can understand and link with their concerns. Such efforts can build rapport and trust among scientists and non-scientists, and may help stakeholders and scientists alike to frame adaptation decision problems amenable to a co-production effort. Finally, university and government researchers operate within an evaluation structure that rewards researcher-driven science that, at the extreme, "throws information over the fence" in the hope that information users will make better decisions. Research evaluation processes must reward more consultative, collaborative, and collegial research approaches if researchers are to widely adopt co-production methods

Five-Year Bibliometric Review of Genomic Nursing Science Research.

PubMed

Williams, Janet K; Tripp-Reimer, Toni; Daack-Hirsch, Sandra; DeBerg, Jennifer

2016-03-01

This bibliometric review profiles the focus, dissemination, and impact of genomic nursing science articles from 2010 to 2014. Data-based genomic nursing articles by nursing authors and articles by non-nurse principal investigators funded by the National Institute of Nursing Research were categorized into the Genomic Nursing Science Blueprint nursing areas. Bibliometric content analysis was used. A total of 197 articles met the inclusion criteria. Of these, 60.3% were on biologic plausibility, 12.1% on client self-management, 11.1% on decision making or decision support, 8.1% on family, and 4.0% on communication, with the remaining 4.0% of articles focused on other topics. Few (11.6%) addressed healthcare disparities in the study purpose. Thirty-four references (17.2%) were cited 10 or more times. Research-based genomic nursing science articles are in the discovery phase of inquiry. All topics were investigated in more than one country. Healthcare disparities were addressed in few studies. Research findings from interdisciplinary teams were disseminated beyond nursing audiences, with findings addressing biologic discovery, decision making or support, and family being cited most frequently. Gaps in the reviewed articles included cross-cutting themes, ethics, and clinical utility. Interdisciplinary research is needed to document clinical and system outcomes of genomic nursing science implementation in health care. Although the review identifies areas that are encountered in clinical practice, relevance to practice will depend on evaluation of findings and subsequent development of clinical guidelines. © 2016 Sigma Theta Tau International.

Influence diagrams as oil spill decision science tools

EPA Science Inventory

Making inferences on risks to ecosystem services (ES) from ecological crises can be more reliably handled using decision science tools. Influence diagrams (IDs) are probabilistic networks that explicitly represent the decisions related to a problem and evidence of their influence...

Effectiveness of a theoretically-based judgment and decision making intervention for adolescents.

PubMed

Knight, Danica K; Dansereau, Donald F; Becan, Jennifer E; Rowan, Grace A; Flynn, Patrick M

2015-05-01

Although adolescents demonstrate capacity for rational decision making, their tendency to be impulsive, place emphasis on peers, and ignore potential consequences of their actions often translates into higher risk-taking including drug use, illegal activity, and physical harm. Problems with judgment and decision making contribute to risky behavior and are core issues for youth in treatment. Based on theoretical and empirical advances in cognitive science, the Treatment Readiness and Induction Program (TRIP) represents a curriculum-based decision making intervention that can be easily inserted into a variety of content-oriented modalities as well as administered as a separate therapeutic course. The current study examined the effectiveness of TRIP for promoting better judgment among 519 adolescents (37 % female; primarily Hispanic and Caucasian) in residential substance abuse treatment. Change over time in decision making and premeditation (i.e., thinking before acting) was compared among youth receiving standard operating practice (n = 281) versus those receiving standard practice plus TRIP (n = 238). Change in TRIP-specific content knowledge was examined among clients receiving TRIP. Premeditation improved among youth in both groups; TRIP clients showed greater improvement in decision making. TRIP clients also reported significant increases over time in self-awareness, positive-focused thinking (e.g., positive self-talk, goal setting), and recognition of the negative effects of drug use. While both genders showed significant improvement, males showed greater gains in metacognitive strategies (i.e., awareness of one's own cognitive process) and recognition of the negative effects of drug use. These results suggest that efforts to teach core thinking strategies and apply/practice them through independent intervention modules may benefit adolescents when used in conjunction with content-based programs designed to change problematic behaviors.

Effectiveness of a Theoretically-Based Judgment and Decision Making Intervention for Adolescents

PubMed Central

Knight, Danica K.; Dansereau, Donald F.; Becan, Jennifer E.; Rowan, Grace A.; Flynn, Patrick M.

2014-01-01

Although adolescents demonstrate capacity for rational decision making, their tendency to be impulsive, place emphasis on peers, and ignore potential consequences of their actions often translates into higher risk-taking including drug use, illegal activity, and physical harm. Problems with judgment and decision making contribute to risky behavior and are core issues for youth in treatment. Based on theoretical and empirical advances in cognitive science, the Treatment Readiness and Induction Program (TRIP) represents a curriculum-based decision making intervention that can be easily inserted into a variety of content-oriented modalities as well as administered as a separate therapeutic course. The current study examined the effectiveness of TRIP for promoting better judgment among 519 adolescents (37% female; primarily Hispanic and Caucasian) in residential substance abuse treatment. Change over time in decision making and premeditation (i.e., thinking before acting) was compared among youth receiving standard operating practice (n = 281) versus those receiving standard practice plus TRIP (n = 238). Change in TRIP-specific content knowledge was examined among clients receiving TRIP. Premeditation improved among youth in both groups; TRIP clients showed greater improvement in decision making. TRIP clients also reported significant increases over time in self-awareness, positive-focused thinking (e.g., positive self-talk, goal setting), and recognition of the negative effects of drug use. While both genders showed significant improvement, males showed greater gains in metacognitive strategies (i.e., awareness of one’s own cognitive process) and recognition of the negative effects of drug use. These results suggest that efforts to teach core thinking strategies and apply/practice them through independent intervention modules may benefit adolescents when used in conjunction with content-based programs designed to change problematic behaviors. PMID:24760288

Integrating Trends in Decision-Making Research

DTIC Science & Technology

2016-03-01

Address correspondence to Cleotilde Gonzalez, Department of Social and Decision Sciences, Dynamic Decision Making Lab, Carnegie Mellon University...Cleotilde Gonzalez, Carnegie Mellon University, and Joachim Meyer, Tel-Aviv University Journal of Cognitive Engineering and Decision Making 201X, Volume XX...Number X, Month 2016, pp. 1 –3 DOI: 10.1177/1555343416655256 Copyright © 2016, Human Factors and Ergonomics Society. at CARNEGIE MELLON UNIV LIBRARY

Fostering Synergies Among Organizations to put Climate in Context for Use in Decision Making

NASA Astrophysics Data System (ADS)

Garfin, G. M.; Parris, A.; Dow, K.; Meyer, R.; Close, S.

2016-12-01

Making science usable for decision making requires a knowledge of the social and institutional contexts of decision making, an ability to develop or tap into networks for sharing information and developing knowledge, a capacity for innovating or providing services, and a program for social learning to inform decisions and improve the processes of engagement and collaboration (i.e., mechanisms for feedback, evaluation, and changes in policy or practices). Active participation by and partnerships between researchers, practitioners, and decision-makers provides a foundation for making progress in each of the aforementioned areas of endeavor. In twenty years of incubating experimental climate services, the NOAA Regional Integrated Sciences and Assessments program offers not a few ideas and examples of practices to foster synergies among organizations, that result in tangible benefits to decision-makers. Strategies include (a) designing explicit mutual learning through temporary institutions, such as workshop series, in order to develop social capital and knowledge networks (e.g., to co-develop and disseminate experimental forecasts); (b) articulating ground rules, roles, and responsibilities in managing the boundary between scientists and practitioners (e.g., in multi-partner climate adaptation planning processes); and (c) cross-training between scientists and practitioners, by embedding team members in other organizations or recruiting members from those organizations (e.g., Cooperative Extension). A promising strategy is boundary chaining, pioneered by the Great Lakes Integrated Sciences and Assessments, in which science information and service providers partner with other boundary organizations, to leverage networks, expertise, resources, and to reduce transaction costs. Partners with complementary strengths and roles can then, work iteratively and synergize to mediate the co-production of a combination of services for decision making, such as data and information, facilitation, and evaluation.

A Multidisciplinary Research Agenda for Understanding Vaccine-Related Decisions

PubMed Central

Larson, Heidi; Leask, Julie; Aggett, Sian; Sevdalis, Nick; Thomson, Angus

2013-01-01

There is increasingly broad global recognition of the need to better understand determinants of vaccine acceptance. Fifteen social science, communication, health, and medical professionals (the “Motors of Trust in Vaccination” (MOTIV) think tank) explored factors relating to vaccination decision-making as a step to building a multidisciplinary research agenda. One hundred and forty seven factors impacting decisions made by consumers, professionals, and policy makers on vaccine acceptance, delay, or refusal were identified and grouped into three major categories: cognition and decision-making; groups and social norms; and communication and engagement. These factors should help frame a multidisciplinary research agenda to build an evidence base on the determinants of vaccine acceptance to inform the development of interventions and vaccination policies. PMID:26344114

Science-based decision-making on the use of dispersants in the Deepwater Horizon oil spill

EPA Science Inventory

Prior to the DWH incident, most (if not all) existing oil spill response knowledgewas based on surface spills and surface applications of dispersant. The behavior ofdispersants subsea was (and still is) less understood, and previous research had notfocused on the duration or quan...

Role of Context in Risk-Based Reasoning

ERIC Educational Resources Information Center

Pratt, Dave; Ainley, Janet; Kent, Phillip; Levinson, Ralph; Yogui, Cristina; Kapadia, Ramesh

2011-01-01

In this article we report the influence of contextual factors on mathematics and science teachers' reasoning in risk-based decision-making. We examine previous research that presents judgments of risk as being subjectively influenced by contextual factors and other research that explores the role of context in mathematical problem-solving. Our own…

Efficient group decision making in workshop settings

Treesearch

Daniel L. Schmoldt; David L. Peterson

2001-01-01

Public land managers must treat multiple values coincidentally in time and space, which requires the participation of multiple resource specialists and consideration of diverse clientele interests in the decision process. This implies decision making that includes multiple participants, both internally and externally. Decades of social science research on decision...

Training in Decision-Making Strategies: An Approach to Enhance Students' Competence to Deal with Socio-Scientific Issues

ERIC Educational Resources Information Center

Gresch, Helge; Hasselhorn, Marcus; Bögeholz, Susanne

2013-01-01

Dealing with socio-scientific issues in science classes enables students to participate productively in controversial discussions concerning ethical topics, such as sustainable development. In this respect, well-structured decision-making processes are essential for elaborate reasoning. To foster decision-making competence, a computer-based…

Developing Character and Values for Global Citizens: Analysis of Pre-Service Science Teachers' Moral Reasoning on Socioscientific Issues

ERIC Educational Resources Information Center

Lee, Hyunju; Chang, Hyunsook; Choi, Kyunghee; Kim, Sung-Won; Zeidler, Dana L.

2012-01-01

Character and values are the essential driving forces that serve as general guides or points of reference for individuals to support decision-making and to act responsibly about global socioscientific issues (SSIs). Based on this assumption, we investigated to what extent pre-service science teachers (PSTs) of South Korea possess character and…

Teaching Strategies for Developing Students' Argumentation Skills About Socioscientific Issues in High School Genetics

NASA Astrophysics Data System (ADS)

Dawson, Vaille Maree; Venville, Grady

2010-03-01

An outcome of science education is that young people have the understandings and skills to participate in public debate and make informed decisions about science issues that influence their lives. Toulmin’s argumentation skills are emerging as an effective strategy to enhance the quality of evidence based decision making in science classrooms. In this case study, an Australian science teacher participated in a one-on-one professional learning session on argumentation before explicitly teaching argumentation skills to two year 10 classes studying genetics. Over two lessons, the teacher used whole class discussion and writing frames of two socioscientific issues to teach students about argumentation. An analysis of classroom observation field notes, audiotaped lesson transcripts, writing frames and student interviews indicate that four factors promoted student argumentation. The factors are: the role of the teacher in facilitating whole class discussion; the use of writing frames; the context of the socioscientific issue; and the role of the students. It is recommended that professional learning to promote student argumentation may need to be tailored to individual teachers and that extensive classroom based research is required to determine the impact of classroom factors on students’ argumentation.

Improving Medical Decision Making and Health Promotion through Culture-Sensitive Health Communication: An Agenda for Science and Practice.

PubMed

Betsch, Cornelia; Böhm, Robert; Airhihenbuwa, Collins O; Butler, Robb; Chapman, Gretchen B; Haase, Niels; Herrmann, Benedikt; Igarashi, Tasuku; Kitayama, Shinobu; Korn, Lars; Nurm, Ülla-Karin; Rohrmann, Bernd; Rothman, Alexander J; Shavitt, Sharon; Updegraff, John A; Uskul, Ayse K

2016-10-01

This review introduces the concept of culture-sensitive health communication. The basic premise is that congruency between the recipient's cultural characteristics and the respective message will increase the communication's effectiveness. Culture-sensitive health communication is therefore defined as the deliberate and evidence-informed adaptation of health communication to the recipients' cultural background in order to increase knowledge and improve preparation for medical decision making and to enhance the persuasiveness of messages in health promotion. To achieve effective health communication in varying cultural contexts, an empirically and theoretically based understanding of culture will be indispensable. We therefore define culture, discuss which evolutionary and structural factors contribute to the development of cultural diversity, and examine how differences are conceptualized as scientific constructs in current models of cultural differences. In addition, we will explicate the implications of cultural differences for psychological theorizing, because common constructs of health behavior theories and decision making, such as attitudes or risk perception, are subject to cultural variation. In terms of communication, we will review both communication strategies and channels that are used to disseminate health messages, and we will discuss the implications of cultural differences for their effectiveness. Finally, we propose an agenda both for science and for practice to advance and apply the evidence base for culture-sensitive health communication. This calls for more interdisciplinary research between science and practice but also between scientific disciplines and between basic and applied research. © The Author(s) 2015.

The DEVELOP National Program: Building Dual Capacity in Decision Makers and Young Professionals Through NASA Earth Observations

NASA Astrophysics Data System (ADS)

Childs, L. M.; Rogers, L.; Favors, J.; Ruiz, M.

2012-12-01

Through the years, NASA has played a distinct/important/vital role in advancing Earth System Science to meet the challenges of environmental management and policy decision making. Within NASA's Earth Science Division's Applied Sciences' Program, the DEVELOP National Program seeks to extend NASA Earth Science for societal benefit. DEVELOP is a capacity building program providing young professionals and students the opportunity to utilize NASA Earth observations and model output to demonstrate practical applications of those resources to society. Under the guidance of science advisors, DEVELOP teams work in alignment with local, regional, national and international partner organizations to identify the widest array of practical uses for NASA data to enhance related management decisions. The program's structure facilitates a two-fold approach to capacity building by fostering an environment of scientific and professional development opportunities for young professionals and students, while also providing end-user organizations enhanced management and decision making tools for issues impacting their communities. With the competitive nature and growing societal role of science and technology in today's global workplace, DEVELOP is building capacity in the next generation of scientists and leaders by fostering a learning and growing environment where young professionals possess an increased understanding of teamwork, personal development, and scientific/professional development and NASA's Earth Observation System. DEVELOP young professionals are partnered with end user organizations to conduct 10 week feasibility studies that demonstrate the use of NASA Earth science data for enhanced decision making. As a result of the partnership, end user organizations are introduced to NASA Earth Science technologies and capabilities, new methods to augment current practices, hands-on training with practical applications of remote sensing and NASA Earth science, improved remote sensing and geographic information science (GIS) capabilities, and opportunities for networking with the NASA and Earth Science community. By engaging young professionals and end user organizations, DEVELOP strives to uniquely build capacity through the extension of NASA Earth Science outcomes to the public through projects that innovatively use NASA Earth observations to address environmental concerns and impact policy and decision making.

Decision Science Challenges for C2 Agility

DTIC Science & Technology

2014-06-01

decision -making effectiveness , but also the adaptive capacities needed to assure the resilience of the decision -making process itself. New methods are... effectiveness , but also the adaptive capacities needed to assure the resilience of the decision -making process itself. New methods are needed to help...of the literature on human biases and limitations, and hence it has been formative of entire programs of resarch and development on

LECTURES ON DECISION THEORY,

DTIC Science & Technology

These lecture notes deal with the mathematical theory of decision - making , i.e., wihematical models of situations in which there is a set of...individual and group decision - making as a quantitative science, in contrast with a field such as physics, suggests that mathematical theorizing on...phenomena of decision - making is very much an exploratory enterprise and that ex isting models have limited generality and appli cability. The purpose is to

Fostering Environmental Literacy For A Changing Earth: Interactive and Participatory Outreach Programs at Biosphere 2

NASA Astrophysics Data System (ADS)

Pavao-Zuckerman, M.; Huxman, T.; Morehouse, B.

2008-12-01

Earth system and ecological sustainability problems are complex outcomes of biological, physical, social, and economic interactions. A common goal of outreach and education programs is to foster a scientifically literate community that possesses the knowledge to contribute to environmental policies and decision making. Uncertainty and variability that is both inherent in Earth system and ecological sciences can confound such goals of improved ecological literacy. Public programs provide an opportunity to engage lay-persons in the scientific method, allowing them to experience science in action and confront these uncertainties face-on. We begin with a definition of scientific literacy that expands its conceptualization of science beyond just a collection of facts and concepts to one that views science as a process to aid understanding of natural phenomena. A process-based scientific literacy allows the public, teachers, and students to assimilate new information, evaluate climate research, and to ultimately make decisions that are informed by science. The Biosphere 2 facility (B2) is uniquely suited for such outreach programs because it allows linking Earth system and ecological science research activities in a large scale controlled environment setting with outreach and education opportunities. A primary outreach goal is to demonstrate science in action to an audience that ranges from K-12 groups to retired citizens. Here we discuss approaches to outreach programs that focus on soil-water-atmosphere-plant interactions and their roles in the impacts and causes of global environmental change. We describe a suite of programs designed to vary the amount of participation a visitor has with the science process (from passive learning to data collection to helping design experiments) to test the hypothesis that active learning fosters increased scientific literacy and the creation of science advocates. We argue that a revised framing of the scientific method with a more open role for citizens in science will have greater success in fostering science literacy and produce a citizenry that is equipped to tackle complex environmental decision making.

Identifying Non-Sustainable Courses of Action: A Prerequisite for Decision-Making in Education for Sustainable Development

NASA Astrophysics Data System (ADS)

Gresch, Helge; Bögeholz, Susanne

2013-04-01

Students are faced with a multitude of decisions as consumers and in societal debates. Because of the scarcity of resources, the destruction of ecosystems and social injustice in a globalized world, it is vital that students are able to identify non-sustainable courses of action when involved in decision-making. The application of decision-making strategies is one approach to enhancing the quality of decisions. Options that do not meet ecological, social or economic standards should be excluded using non-compensatory strategies whereas other tasks may require a complete trade-off of all the evidence, following a compensatory approach. To enhance decision-making competence, a computer-based intervention study was conducted that focused on the use of decision-making strategies. While the results of the summative evaluation are reported by Gresch et al. (International Journal of Science Education, 2011), in-depth analyses of process-related data collected during the information processing are presented in this paper to reveal insights into the mechanisms of the intervention. The quality of high school students' ( n = 120) metadecision skills when selecting a decision-making strategy was investigated using qualitative content analyses combined with inferential statistics. The results reveal that the students offered elaborate reflections on the sustainability of options. However, the characteristics that were declared non-sustainable differed among the students because societal norms and personal values were intertwined. One implication for education for sustainable development is that students are capable of reflecting on decision-making tasks and on corresponding favorable decision-making strategies at a metadecision level. From these results, we offer suggestions for improving learning environments and constructing test instruments for decision-making competence.

The adaptive use of recognition in group decision making.

PubMed

Kämmer, Juliane E; Gaissmaier, Wolfgang; Reimer, Torsten; Schermuly, Carsten C

2014-06-01

Applying the framework of ecological rationality, the authors studied the adaptivity of group decision making. In detail, they investigated whether groups apply decision strategies conditional on their composition in terms of task-relevant features. The authors focused on the recognition heuristic, so the task-relevant features were the validity of the group members' recognition and knowledge, which influenced the potential performance of group strategies. Forty-three three-member groups performed an inference task in which they had to infer which of two German companies had the higher market capitalization. Results based on the choice data support the hypothesis that groups adaptively apply the strategy that leads to the highest theoretically achievable performance. Time constraints had no effect on strategy use but did have an effect on the proportions of different types of arguments. Possible mechanisms underlying the adaptive use of recognition in group decision making are discussed. © 2014 Cognitive Science Society, Inc.

Medical decision-making in children and adolescents: developmental and neuroscientific aspects.

PubMed

Grootens-Wiegers, Petronella; Hein, Irma M; van den Broek, Jos M; de Vries, Martine C

2017-05-08

Various international laws and guidelines stress the importance of respecting the developing autonomy of children and involving minors in decision-making regarding treatment and research participation. However, no universal agreement exists as to at what age minors should be deemed decision-making competent. Minors of the same age may show different levels of maturity. In addition, patients deemed rational conversation-partners as a child can suddenly become noncompliant as an adolescent. Age, context and development all play a role in decision-making competence. In this article we adopt a perspective on competence that specifically focuses on the impact of brain development on the child's decision-making process. We believe that the discussion on decision-making competence of minors can greatly benefit from a multidisciplinary approach. We adopted such an approach in order to contribute to the understanding on how to deal with children in decision-making situations. Evidence emerging from neuroscience research concerning the developing brain structures in minors is combined with insights from various other fields, such as psychology, decision-making science and ethics. Four capacities have been described that are required for (medical) decision-making: (1) communicating a choice; (2) understanding; (3) reasoning; and (4) appreciation. Each capacity is related to a number of specific skills and abilities that need to be sufficiently developed to support the capacity. Based on this approach it can be concluded that at the age of 12 children can have the capacity to be decision-making competent. However, this age coincides with the onset of adolescence. Early development of the brain's reward system combined with late development of the control system diminishes decision-making competence in adolescents in specific contexts. We conclude that even adolescents possessing capacities required for decision-making, may need support of facilitating environmental factors. This paper intends to offer insight in neuroscientific mechanisms underlying the medical decision-making capacities in minors and to stimulate practices for optimal involvement of minors. Developing minors become increasingly capable of decision-making, but the neurobiological development in adolescence affects competence in specific contexts. Adequate support should be offered in order to create a context in which minors can make competently make decisions.

Navigating the boundary of science for decision making at the state and local level

NASA Astrophysics Data System (ADS)

Gonzales, L. M.; Wood, C.; Boland, M. A.; Rose, C. A.

2015-12-01

Scientific information should play a vital role in many decision making processes, yet issues incorporating geoscience information often arise due to inherent differences between how scientists and decision makers operate. Decision makers and scientists have different priorities, produce work at different rates, and often lack an understanding of each others' institutional constraints. Boundary organizations, entities that facilitate collaboration and information flow across traditional boundaries such as that between scientists and decision makers, are in a unique position to improve the dialogue between disparate groups. The American Geosciences Institute (AGI), a nonprofit federation of 50 geoscience societies and organizations, is linking the geoscience and decision-making communities through its Critical Issues Program. AGI's Critical Issues program has first-hand experience in improving the transfer of information across the science-decision making boundary, particularly in areas pertaining to water resources and hazards. This presentation will focus on how, by collaborating with organizations representing the decision making and geoscience communities to inform our program development, we have created our three main content types - website, webinar series, and research database - to better meet the needs of the decision-making process. The program presents existing geoscience information in a way that makes the interconnected nature of geoscience topics more easily understood, encourages discussion between the scientific and decision-making communities, and has established a trusted source of impartial geoscience information. These efforts have focused on state and local decision makers—groups that increasingly influence climate and risk-related decisions, yet often lack the resources to access and understand geoscience information.

Leo Szilard Lecturship Award: How can physicists help the public make better decisions about science and technology?

NASA Astrophysics Data System (ADS)

Primack, Joel

2016-03-01

For more than 40 years the APS has worked to improve governmental decision-making, mainly through the Congressional Science and Technology Fellowship program and through occasional studies of important science and technology issues. How productive have these been? How can the APS and other professional societies more effectively combat anti-science propaganda and help the public develop better-informed views about science and technology? How can individual scientists communicate scientific concepts in a more understandable and engaging way? How can we encourage young scientists and students to participate in creating a scientifically responsible future?

Carpal tunnel syndrome: assessment of surgeon and patient preferences and priorities for decision-making.

PubMed

Hageman, Michiel G J S; Kinaci, Ahmet; Ju, Kevin; Guitton, Thierry G; Mudgal, Chaitanya S; Ring, David

2014-09-01

This study tested the null hypothesis that there are no differences between the preferences of hand surgeons and those patients with carpal tunnel syndrome (CTS) facing decisions about management of CTS (ie, the preferred content of a decision aid). One hundred three hand surgeons of the Science of Variation Group and 79 patients with CTS completed a survey about their priorities and preferences in decision making regarding the management of CTS. The questionnaire was structured according the Ottawa Decision Support Framework for the development of a decision aid. Important areas on which patient and hand surgeon interests differed included a preference for nonpainful, nonoperative treatment and confirmation of the diagnosis with electrodiagnostic testing. For patients, the main disadvantage of nonoperative treatment was that it was likely to be only palliative and temporary. Patients preferred, on average, to take the lead in decision making, whereas physicians preferred shared decision making. Patients and physicians agreed on the value of support from family and other physicians in the decision-making process. There were some differences between patient and surgeon priorities and preferences regarding decision making for CTS, particularly the risks and benefits of diagnostic and therapeutic procedures. Information that helps inform patients of their options based on current best evidence might help patients understand their own preferences and values, reduce decisional conflict, limit surgeon-to-surgeon variations, and improve health. Copyright © 2014 American Society for Surgery of the Hand. All rights reserved.

The EU Dimension to Soil Science in Schools

ERIC Educational Resources Information Center

Johnson, Sue

2012-01-01

The EU as a context for science lessons may be given scant attention but EU decision-making is a vital factor in everyday life. Lessons on the emergence of soil science with Charles Darwin's simple scientific experiments can be linked with competence through action, inclusion and argumentations in science lessons. Decisions about an EU Soil…

Integrating Information & Communications Technologies into the Classroom

ERIC Educational Resources Information Center

Tomei, Lawrence, Ed.

2007-01-01

"Integrating Information & Communications Technologies Into the Classroom" examines topics critical to business, computer science, and information technology education, such as: school improvement and reform, standards-based technology education programs, data-driven decision making, and strategic technology education planning. This book also…

Enhanced cardiac perception is associated with increased susceptibility to framing effects.

PubMed

Sütterlin, Stefan; Schulz, Stefan M; Stumpf, Theresa; Pauli, Paul; Vögele, Claus

2013-07-01

Previous studies suggest in line with dual process models that interoceptive skills affect controlled decisions via automatic or implicit processing. The "framing effect" is considered to capture implicit effects of task-irrelevant emotional stimuli on decision-making. We hypothesized that cardiac awareness, as a measure of interoceptive skills, is positively associated with susceptibility to the framing effect. Forty volunteers performed a risky-choice framing task in which the effect of loss versus gain frames on decisions based on identical information was assessed. The results show a positive association between cardiac awareness and the framing effect, accounting for 24% of the variance in the framing effect. These findings demonstrate that good interoceptive skills are linked to poorer performance in risky choices based on ambivalent information when implicit bias is induced by task-irrelevant emotional information. These findings support a dual process perspective on decision-making and suggest that interoceptive skills mediate effects of implicit bias on decisions. Copyright © 2013 Cognitive Science Society, Inc.

Factors that Influence Treatment and Non-treatment Decision Making Among Individuals with Inflammatory Bowel Disease: An Integrative Review.

PubMed

Kamp, Kendra J; Brittain, Kelly

2018-06-01

Inflammatory bowel disease (IBD) is a chronic illness with periods of varying disease activity called flares and remissions. Since IBD impacts quality of life, patients make IBD disease management decisions every day. Previous research indicates limited insight about factors that influence decisions regarding disease management and the types of decisions IBD patients make. The purpose of this integrative review is to identify types of treatment and non-treatment decisions and the factors that influence decision making regarding disease management among individuals with IBD. An integrative literature review was performed based on the Whittemore and Knafl framework. PubMed, Web of Science, and PsychINFO were searched for relevant articles, from 2010-2016, using the key terms: decision making, patient preferences, self-management, self-care, nutrition, diet, stress, symptom, Colitis, Crohns, and IBD. Twenty-eight articles met the inclusion criteria. From these, research showed two types of decisions: treatment decisions related to medication and surgery, and non-treatment decisions focused on diet modification. Five themes that influence decisions were identified: experiencing symptoms, provider recommendations, convenience attributes, psychosocial factors, and informational needs. Most of the studies found a positive relationship between an increased number of symptoms and a patient's willingness to engage in treatment decisions. Although support from providers is highly influential for treatment decisions, most studies reported that provider recommendations did not align with patient preferences. Future work is needed to understand factors that influence decisions among recently diagnosed patients, to focus on non-treatment-related decisions, and to clarify the role of psychosocial factors in promoting disease decision making among IBD patients. This integrative review identified that, for patients, experiencing symptoms is the most important factor that influences treatment and non-treatment decisions.

The Evolution of an Interprofessional Shared Decision-Making Research Program: Reflective Case Study of an Emerging Paradigm

PubMed Central

Menear, Matthew; Stacey, Dawn; Brière, Nathalie; Légaré, France

2016-01-01

Introduction: Healthcare research increasingly focuses on interprofessional collaboration and on shared decision making, but knowledge gaps remain about effective strategies for implementing interprofessional collaboration and shared decision-making together in clinical practice. We used Kuhn’s theory of scientific revolutions to reflect on how an integrated interprofessional shared decision-making approach was developed and implemented over time. Methods: In 2007, an interdisciplinary team initiated a new research program to promote the implementation of an interprofessional shared decision-making approach in clinical settings. For this reflective case study, two new team members analyzed the team’s four projects, six research publications, one unpublished and two published protocols and organized them into recognizable phases according to Kuhn’s theory. Results: The merging of two young disciplines led to challenges characteristic of emerging paradigms. Implementation of interprofessional shared-decision making was hindered by a lack of conceptual clarity, a dearth of theories and models, little methodological guidance, and insufficient evaluation instruments. The team developed a new model, identified new tools, and engaged knowledge users in a theory-based approach to implementation. However, several unresolved challenges remain. Discussion: This reflective case study sheds light on the evolution of interdisciplinary team science. It offers new approaches to implementing emerging knowledge in the clinical context. PMID:28435417

The Evolution of an Interprofessional Shared Decision-Making Research Program: Reflective Case Study of an Emerging Paradigm.

PubMed

Dogba, Maman Joyce; Menear, Matthew; Stacey, Dawn; Brière, Nathalie; Légaré, France

2016-07-19

Healthcare research increasingly focuses on interprofessional collaboration and on shared decision making, but knowledge gaps remain about effective strategies for implementing interprofessional collaboration and shared decision-making together in clinical practice. We used Kuhn's theory of scientific revolutions to reflect on how an integrated interprofessional shared decision-making approach was developed and implemented over time. In 2007, an interdisciplinary team initiated a new research program to promote the implementation of an interprofessional shared decision-making approach in clinical settings. For this reflective case study, two new team members analyzed the team's four projects, six research publications, one unpublished and two published protocols and organized them into recognizable phases according to Kuhn's theory. The merging of two young disciplines led to challenges characteristic of emerging paradigms. Implementation of interprofessional shared-decision making was hindered by a lack of conceptual clarity, a dearth of theories and models, little methodological guidance, and insufficient evaluation instruments. The team developed a new model, identified new tools, and engaged knowledge users in a theory-based approach to implementation. However, several unresolved challenges remain. This reflective case study sheds light on the evolution of interdisciplinary team science. It offers new approaches to implementing emerging knowledge in the clinical context.

Building Fire Behavior Analyst (FBAN) capability and capacity: Lessons learned From Victoria, Australia's Bushfire Behavior Predictive Services Strategy

Treesearch

K. E. Gibos; A. Slijepcevic; T. Wells; L. Fogarty

2015-01-01

Wildland fire managers must frequently make meaning from chaos in order to protect communities and infrastructure from the negative impacts of fire. Fire management personnel are increasingly turning to science to support their experience-based decision-making processes and to provide clear, confident leadership for communities frequently exposed to risk from wildfire...

The Australian government's review of positron emission tomography: evidence-based policy-making in action.

PubMed

Ware, Robert E; Francis, Hilton W; Read, Kenneth E

2004-06-21

The Commonwealth Government constituted the Medicare Services Advisory Committee (MSAC) to implement its commitment to entrench the principles of evidence-based medicine in Australian clinical practice. With its recent review of positron emission tomography (PETReview), the Commonwealth intervened in an established MSAC process, and sanctioned the stated objective to restrict expenditure on the technology. In our opinion: The evaluation of evidence by PETReview was fundamentally compromised by a failure to meet the terms of reference, poor science, poor process and unique decision-making benchmarks. By accepting the recommendations of PETReview, the Commonwealth is propagating information which is not of the highest quality. The use of inferior-quality information for decision-making by doctors, patients and policy-makers is likely to harm rather than enhance healthcare outcomes.

Structured decision making for managing pneumonia epizootics in bighorn sheep

USGS Publications Warehouse

Sells, Sarah N.; Mitchell, Michael S.; Edwards, Victoria L.; Gude, Justin A.; Anderson, Neil J.

2016-01-01

Good decision-making is essential to conserving wildlife populations. Although there may be multiple ways to address a problem, perfect solutions rarely exist. Managers are therefore tasked with identifying decisions that will best achieve desired outcomes. Structured decision making (SDM) is a method of decision analysis used to identify the most effective, efficient, and realistic decisions while accounting for values and priorities of the decision maker. The stepwise process includes identifying the management problem, defining objectives for solving the problem, developing alternative approaches to achieve the objectives, and formally evaluating which alternative is most likely to accomplish the objectives. The SDM process can be more effective than informal decision-making because it provides a transparent way to quantitatively evaluate decisions for addressing multiple management objectives while incorporating science, uncertainty, and risk tolerance. To illustrate the application of this process to a management need, we present an SDM-based decision tool developed to identify optimal decisions for proactively managing risk of pneumonia epizootics in bighorn sheep (Ovis canadensis) in Montana. Pneumonia epizootics are a major challenge for managers due to long-term impacts to herds, epistemic uncertainty in timing and location of future epizootics, and consequent difficulty knowing how or when to manage risk. The decision tool facilitates analysis of alternative decisions for how to manage herds based on predictions from a risk model, herd-specific objectives, and predicted costs and benefits of each alternative. Decision analyses for 2 example herds revealed that meeting management objectives necessitates specific approaches unique to each herd. The analyses showed how and under what circumstances the alternatives are optimal compared to other approaches and current management. Managers can be confident that these decisions are effective, efficient, and realistic because they explicitly account for important considerations managers implicitly weigh when making decisions, including competing management objectives, uncertainty in potential outcomes, and risk tolerance.

Weather to Make a Decision

ERIC Educational Resources Information Center

Hoyle, Julie E.; Mjelde, James W.; Litzenberg, Kerry K.

2006-01-01

DECIDE is a teacher-friendly, integrated approach designed to stimulate learning by allowing students to make decisions about situations they face in their lives while using scientific weather principles. This learning unit integrates weather science, decision theory, mathematics, statistics, geography, and reading in a context of decision…

Troubling STEM: Making a Case for an Ethics/STEM Partnership

NASA Astrophysics Data System (ADS)

Steele, Astrid

2016-06-01

Set against the backdrop of a STEM-based (science, technology, engineering and mathematics) activity in a teacher education science methods class, the author examines the need for ethics education to be partnered with STEM education. To make the case, the origin of the STEM initiative, undertaken and strongly supported by both US government and corporate sources, is briefly recounted. The STSE initiative (science, technology, society and environment) is posited as a counterpoint to STEM. Also considered are: (a) an historical perspective of science and technology as these impact difficult individual and social decision making; (b) STEM knowledge generation considered through the lens of Habermas' threefold knowledge typology; and (c) the experiences of the teacher candidates working through the STEM activity when an ethical challenge is posed. The author demonstrates the need for a moral component for science education and makes the case for a partnership between STEM and ethics education. Further, such a partnership has been shown to increase student enjoyment and motivation for their science studies. Three possible ethical frameworks are examined for their theoretical and practical utility in a science classroom.

The Role of Dysfunctional Myths in a Decision-Making Process under Bounded Rationality: A Complex Dynamical Systems Perspective.

PubMed

Stamovlasis, Dimitrios; Vaiopoulou, Julie

2017-07-01

The present study examines the factors influencing a decision-making process, with specific focus on the role of dysfunctional myths (DM). DM are thoughts or beliefs that are rather irrational, however influential to people's decisions. In this paper a decision-making process regarding the career choice of university students majoring in natural sciences and education (N=496) is examined by analyzing survey data taken via Career Decision Making Difficulties Questionnaire (CDDQ). The difficulty of making the choice and the certainty about one's decision were the state variables, while the independent variables were factors related to the lack of information or knowledge needed, which actually reflect a bounded rationality. Cusp catastrophe analysis, based on both least squares and maximum likelihood procedures, showed that the nonlinear models predicting the two state variables were superior to linear alternatives. Factors related to lack of knowledge about the steps involved in the process of career decision-making, lack of information about the various occupations, lack of information about self and lack of motivation acted as asymmetry, while dysfunctional myths acted as bifurcation factor for both state variables. The catastrophe model, grounded in empirical data, revealed a unique role for DM and a better interpretation within the context of complexity and the notion of bounded rationality. The analysis opens the nonlinear dynamical systems (NDS) perspective in studying decision-making processes. Theoretical and practical implications are discussed.

Investing in citizen science can improve natural resource management and environmental protection

USGS Publications Warehouse

McKinley, Duncan C.; Miller-Rushing, Abraham J.; Ballard, Heidi L.; Bonney, Rick; Brown, Hutch; Evans, Daniel M.; French, Rebecca A.; Parrish, Julia K.; Phillips, Tina B.; Ryan, Sean F.; Shanley, Lea A.; Shirk, Jennifer L.; Stepenuck, Kristine F.; Weltzin, Jake F.; Wiggins, Andrea; Boyle, Owen D.; Briggs, Russell D.; Chapin, Stuart F.; Hewitt, David A.; Preuss, Peter W.; Soukup, Michael A.

2015-01-01

Citizen science has made substantive contributions to science for hundreds of years. More recently, it has contributed to many articles in peer-reviewed scientific journals and has influenced natural resource management and environmental protection decisions and policies across the nation. Over the last 10 years, citizen science—participation by the public in a scientific project—has seen explosive growth in the United States, particularly in ecology, the environmental sciences, and related fields of inquiry. In this report, we explore the current use of citizen science in natural resource and environmental science and decision making in the United States and describe the investments organizations might make to benefit from citizen science.

An Evidence-Based Practice Model across the Academic and Clinical Settings

ERIC Educational Resources Information Center

Wolter, Julie A.; Corbin-Lewis, Kim; Self, Trisha; Elsweiler, Anne

2011-01-01

This tutorial is designed to provide academic communication sciences and disorders (CSD) programs, at both the undergraduate and graduate levels, with a comprehensive instructional model on evidence-based practice (EBP). The model was designed to help students view EBP as an ongoing process needed in all clinical decision making. The three facets…

Integrated EPA Science for Decision-Making: Lawrence, MA Water Strategy

EPA Science Inventory

Powerpoint presentation on the Lawrence MA Making a Visible Difference in Communities project’s comprehensive water quality strategy, demonstrating a systems approach applying integrated EPA science

Veteran Unemployment of Transitioning Marines

DTIC Science & Technology

2013-11-01

military experience. C2 Marines have high AFQT scores and work with information systems; they may pursue, for example, computer science degrees in college...i.e., they made a rational decision based on lack of information). DOD actuarial officials use the low MGIB benefit use rate to maintain program...such as computer science , to make their military skills transferable, while others may not. Marines in services, repair/maintenance, operator, and

Workshop summary: 'Integrating air quality and climate mitigation - is there a need for new metrics to support decision making?'

NASA Astrophysics Data System (ADS)

von Schneidemesser, E.; Schmale, J.; Van Aardenne, J.

2013-12-01

Air pollution and climate change are often treated at national and international level as separate problems under different regulatory or thematic frameworks and different policy departments. With air pollution and climate change being strongly linked with regard to their causes, effects and mitigation options, the integration of policies that steer air pollutant and greenhouse gas emission reductions might result in cost-efficient, more effective and thus more sustainable tackling of the two problems. To support informed decision making and to work towards an integrated air quality and climate change mitigation policy requires the identification, quantification and communication of present-day and potential future co-benefits and trade-offs. The identification of co-benefits and trade-offs requires the application of appropriate metrics that are well rooted in science, easy to understand and reflect the needs of policy, industry and the public for informed decision making. For the purpose of this workshop, metrics were loosely defined as a quantified measure of effect or impact used to inform decision-making and to evaluate mitigation measures. The workshop held on October 9 and 10 and co-organized between the European Environment Agency and the Institute for Advanced Sustainability Studies brought together representatives from science, policy, NGOs, and industry to discuss whether current available metrics are 'fit for purpose' or whether there is a need to develop alternative metrics or reassess the way current metrics are used and communicated. Based on the workshop outcome the presentation will (a) summarize the informational needs and current application of metrics by the end-users, who, depending on their field and area of operation might require health, policy, and/or economically relevant parameters at different scales, (b) provide an overview of the state of the science of currently used and newly developed metrics, and the scientific validity of these metrics, (c) identify gaps in the current information base, whether from the scientific development of metrics or their application by different users.

Improving the Emergency Manager’s Hurricane Evacuation Decision Making Through Serious Gaming

DTIC Science & Technology

2016-06-17

Serious Gaming Hayley J. Davison Reynolds, Maxwell H. Perlman Darren P. Wilson MIT Lincoln Laboratory DHS Science and Technology Directorate...transfer it to an actual evacuation event. Through this work, a web-based, ‘serious gaming ’ approach was used to develop hurricane evacuation decision...training for the emergency manager. This paper describes the iterative design approach to developing a training game and collect initial feedback

JPRS Report, Science & Technology, USSR: Computers

DTIC Science & Technology

1987-09-29

Reliability of Protected Systems (L.S. Stoykova, O.A. Yushchenko; KIBERNETIKA, No 5, Sep-Oct 86) U Decision Making Based on Analysis of a Decision...34 published by the Central Scientific Research Institute for Information and Technoeconomic Research on Material and Technical Supply (TsNIITEIMS) of the...was said becomes clear after a subconscious analysis of the context. We have built our device according to the same pattern. In contrast to its

Adult Age Differences in Dual Information Processes: Implications for the Role of Affective and Deliberative Processes in Older Adults' Decision Making.

PubMed

Peters, Ellen; Hess, Thomas M; Västfjäll, Daniel; Auman, Corinne

2007-03-01

Age differences in affective/experiential and deliberative processes have important theoretical implications for judgment and decision theory and important pragmatic implications for older-adult decision making. Age-related declines in the efficiency of deliberative processes predict poorer-quality decisions as we age. However, age-related adaptive processes, including motivated selectivity in the use of deliberative capacity, an increased focus on emotional goals, and greater experience, predict better or worse decisions for older adults depending on the situation. The aim of the current review is to examine adult age differences in affective and deliberative information processes in order to understand their potential impact on judgments and decisions. We review evidence for the role of these dual processes in judgment and decision making and then review two representative life-span perspectives (based on aging-related changes to cognitive or motivational processes) on the interplay between these processes. We present relevant predictions for older-adult decisions and make note of contradictions and gaps that currently exist in the literature. Finally, we review the sparse evidence about age differences in decision making and how theories and findings regarding dual processes could be applied to decision theory and decision aiding. In particular, we focus on prospect theory (Kahneman & Tversky, 1979) and how prospect theory and theories regarding age differences in information processing can inform one another. © 2007 Association for Psychological Science.

IONIO Project: Computer-mediated Decision Support System and Communication in Ocean Science

NASA Astrophysics Data System (ADS)

Oddo, Paolo; Acierno, Arianna; Cuna, Daniela; Federico, Ivan; Galati, Maria Barbara; Awad, Esam; Korres, Gerasimos; Lecci, Rita; Manzella, Giuseppe M. R.; Merico, Walter; Perivoliotis, Leonidas; Pinardi, Nadia; Shchekinova, Elena; Mannarini, Gianandrea; Vamvakaki, Chrysa; Pecci, Leda; Reseghetti, Franco

2013-04-01

A decision Support System is composed by four main steps. The first one is the definition of the problem, the issue to be covered, decisions to be taken. Different causes can provoke different problems, for each of the causes or its effects it is necessary to define a list of information and/or data that are required in order to take the better decision. The second step is the determination of sources from where information/data needed for decision-making can be obtained and who has that information. Furthermore it must be possible to evaluate the quality of the sources to see which of them can provide the best information, and identify the mode and format in which the information is presented. The third step is relying on the processing of knowledge, i.e. if the information/data are fitting for purposes. It has to be decided which parts of the information/data need to be used, what additional data or information is necessary to access, how can information be best presented to be able to understand the situation and take decisions. Finally, the decision making process is an interactive and inclusive process involving all concerned parties, whose different views must be taken into consideration. A knowledge based discussion forum is necessary to reach a consensus. A decision making process need to be examined closely and refined, and modified to meet differing needs over time. The report is presenting legal framework and knowledge base for a scientific based decision support system and a brief exploration of some of the skills that enhances the quality of decisions taken.

Examining Challenges Related to the Production of Actionable Climate Knowledge for Adaptation Decision-Making: A Focus on Climate Knowledge System Producers

NASA Astrophysics Data System (ADS)

Ernst, K.; Preston, B. L.; Tenggren, S.; Klein, R.; Gerger-Swartling, Å.

2017-12-01

Many challenges to adaptation decision-making and action have been identified across peer-reviewed and gray literature. These challenges have primarily focused on the use of climate knowledge for adaptation decision-making, the process of adaptation decision-making, and the needs of the decision-maker. Studies on climate change knowledge systems often discuss the imperative role of climate knowledge producers in adaptation decision-making processes and stress the need for producers to engage in knowledge co-production activities and to more effectively meet decision-maker needs. While the influence of climate knowledge producers on the co-production of science for adaptation decision-making is well-recognized, hardly any research has taken a direct approach to analyzing the challenges that climate knowledge producers face when undertaking science co-production. Those challenges can influence the process of knowledge production and may hinder the creation, utilization, and dissemination of actionable knowledge for adaptation decision-making. This study involves semi-structured interviews, focus groups, and participant observations to analyze, identify, and contextualize the challenges that climate knowledge producers in Sweden face as they endeavor to create effective climate knowledge systems for multiple contexts, scales, and levels across the European Union. Preliminary findings identify complex challenges related to education, training, and support; motivation, willingness, and culture; varying levels of prioritization; professional roles and responsibilities; the type and amount of resources available; and professional incentive structures. These challenges exist at varying scales and levels across individuals, organizations, networks, institutions, and disciplines. This study suggests that the creation of actionable knowledge for adaptation decision-making is not supported across scales and levels in the climate knowledge production landscape. Additionally, enabling the production of actionable knowledge for adaptation decision-making requires multi-level effort beyond the individual level.

Nature of Science and Decision-Making

NASA Astrophysics Data System (ADS)

Khishfe, Rola

2012-01-01

The study investigated the relationship of nature of science (NOS) instruction and students' decision-making (DM) related to a controversial socioscientific issue about genetically modified food. Participants were ninth-grade students in four intact sections (two regulars and two honors) in a public high school in the Midwest. All four groups were taught by their regular science teacher. The treatment comprised a four-week unit about genetic engineering. Two groups (one regular and one honors), referred to as comparison groups, received instruction in genetic engineering and how to formulate arguments and make decisions related to this controversial issue. The other two groups (one regular and one honors), referred to as treatment groups, received instruction in genetic engineering and how to apply NOS aspects as they formulate arguments and make decisions in relation to this controversial issue. Chi-square analyses showed significant differences between the comparison and the treatment groups in relation to the understandings of four NOS aspects. There were no differences in their decisions, but there were differences in their DM factors in the context of the controversial socioscientific issue about genetically modified food. These results are discussed in light of the relationship between students' understandings of NOS and their DM related to controversial socioscientific issues.

The Impact of Information Displays on Decision Making

DTIC Science & Technology

2017-09-01

ARL-TN-0846 ● SEP 2017 US Army Research Laboratory The Impact of Information Displays on Decision Making by John Shevlin... Information Displays on Decision Making by John Shevlin VTCC Delta Company ’19, AROTC Bravo Company Marc Jackson and Sue E Kase...Computational and Information Sciences Directorate, ARL Daniel Cassenti Human Research and Engineering Directorate, ARL Approved for public

Literature and Everyday Decisions: An Essay about the Influence of Literature on Decision-Making.

ERIC Educational Resources Information Center

Parsons, Jim

Literature is an artistic expression which teaches human beings valuable lessons about life. Literature invites the reader to share decisions with the decisions of others--the characters seen in literature. Unlike science or philosophy or ethics, which make people say "I understand" and then "I see," literature, as an art,…

Cognitive Works Aids for C2 Planning: Actionable Information to Support Operational Decision Making

DTIC Science & Technology

2005-06-01

Information to Support Operational Decision Making Topic: Decisionmaking and Cognitive Science Jeffrey Wampler†*, Randall Whitaker§, Emilie...channeled through this state-of- the- art mobility C2 hub. It is a global AOC with several hundred people planning and executing around 350 missions...2005 Topical Area: Decisionmaking and Cognitive Science CONFERENCE PRESENTATION BY: RANDALL WHITAKER, PH.D. NORTHROP GRUMMAN INFORMATION TECHNOLOGY

The partnership between park wild life management policy and landscape wild life management policy. How shall we then manage?

USGS Publications Warehouse

Halvorson, William L.; Eastin, Chris

1999-01-01

Resources management practices are changing in North America, not only based on greater understanding of the resources that are being managed, but also on some critical sociological relationship changes between human beings and between humans and nature. The entire way that humans look at the natural world and our own society is changing dramatically as we come to the end of the twentieth century. Managers are changing from making belief-based decisions to making informed knowledge-based decisions through better science programs. Society appears to increasingly be making a shift to a community mind-set, a mind-set of connectedness and interdependence, and away from strict individualism. Managers appear to be ready to embrace the concept of unity and wholeness; to understand that humans and nature are inextricably tied to each other’s wellbeing

From a Vital Sign to Vitality: Selling Exercise So Patients Want to Buy It.

PubMed

Segar, Michelle L; Guérin, Eva; Phillips, Edward; Fortier, Michelle

2016-01-01

Exercise is Medicine (EIM) and physical activity as a vital sign are based on health-focused research and reflect ideal frames and messages for clinicians. However, they are nonoptimal for patients because they do not address what drives patients' decision-making and motivation. With the growing national emphasis on patient-centered and value-based care, it is the perfect time for EIM to evolve and advance a second-level consumer-oriented exercise prescription and communication strategy. Through research on decision-making, motivation, consumer behavior, and meaningful goal pursuit, this article features six evidence-based issues to help clinicians make physical activity more relevant and compelling for patients to sustain in ways that concurrently support patient-centered care. Physical activity prescriptions and counseling can evolve to reflect affective and behavioral science and sell exercise so patients want to buy it.

Building a Shared Understanding of Phenology

NASA Astrophysics Data System (ADS)

Rosemartin, A.; Posthumus, E.; Gerst, K.

2017-12-01

The USA National Phenology Network (USA-NPN) seeks to advance the science of phenology and support the use of phenology information in decision-making. We envision that natural resource, human health, recreation and land-use decisions, in the context of a variable and changing climate, will be supported by USA-NPN products and tools. To achieve this vision we developed a logic model, breaking down the necessary inputs (e.g., IT infrastructure), participants, activities and the short- to long-term goals (e.g., use of phenological information in adaptive management). Here we compare the ongoing activities and outcomes of three recent collaborations to our logic model, in order to improve the model and inform future collaborations. At Midway Atoll National Wildlife Refuge, resource managers use the USA-NPN's phenology monitoring program to pinpoint the minimum number of days between initial growth and seed set in an invasive species. The data output and calendar visualizations that USA-NPN provides are sufficient to identify the appropriate treatment window. In contrast to a direct relationship with a natural resource manager using USA-NPN tools and products, some collaborations require substantive iterative work between partners. USA-NPN and National Park Service staff, along with academic researchers, assessed advancement in the timing of spring, and delivered the work in a format appropriate for park managers. Lastly, collaborations with indigenous communities reveal a requirement to reconsider the relationship between Western science and indigenous knowledge systems, as well as address ethical considerations and develop trust, before Western science can be meaningfully incorporated into decision-making. While the USA-NPN is a boundary organization, working in between federal agencies, states and universities, and is mandated to support decision-making, we still face challenges in generating usable science. We share lessons learned based on our experience with diverse and evolving partnerships.

Paraconsistent Annotated Logic in Viability Analysis: an Approach to Product Launching

NASA Astrophysics Data System (ADS)

Romeu de Carvalho, Fábio; Brunstein, Israel; Abe, Jair Minoro

2004-08-01

In this paper we present an application of the Para-analyzer, a logical analyzer based on the Paraconsistent Annotated Logic Pτ, introduced by Da Silva Filho and Abe in the decision-making systems. An example is analyzed in detail showing how uncertainty, inconsistency and paracompleteness can be elegantly handled with this logical system. As application for the Para-analyzer in decision-making, we developed the BAM — Baricenter Analysis Method. In order to make the presentation easier, we present the BAM applied in the viability analysis of product launching. Some of the techniques of Paraconsistent Annotated Logic have been applied in Artificial Intelligence, Robotics, Information Technolgy (Computer Sciences), etc..

When craft and science collide: Improving therapeutic practices through evidence-based innovations.

PubMed

Justice, Laura M

2010-04-01

Evidence-based practice (EBP) is a model of clinical decision-making that is increasingly being advocated for use in the field of speech-language pathology. With the increased emphasis on scientific evidence as a form of knowledge important to EBP, clinicians may wonder whether their craft-based knowledge (i.e., knowledge derived from theory and practice), remains a legitimate form of knowledge for use in clinician decisions. This article describes forms of knowledge that may be used to address clinical questions, to include both craft and science. Additionally, the steps used when engaging in EBP are described so that clinicians understand when and how craft comes into play. The major premise addressed within this article is that craft is a legitimate form of knowledge and that engagement in EBP requires one to employ craft-based knowledge.

Science in Society: Bridging the gap to connect science to decision makers

NASA Astrophysics Data System (ADS)

Jones, L.; Bwarie, J.; Pearce, I.

2016-12-01

The gap between science and decision making in our society can be large and multi-faceted, involving communication, process, cultural and even subconscious differences. In sweeping generalization, scientists reject anecdotes, focus on uncertainty and details, and expect conflict as part of the scientific process, while non-scientists respond to stories, want certainty and the big picture, and see conflict as a reason to reject the message. Bridging this gap often requires ongoing collaboration to find the intersection of three independent domains: what science can provide, the technical information decision makers need to make the most effective choices and what information decision makers need to motivate action. For ten years, the USGS has experimented with improving the usefulness of its science through the SAFRR (Science Application for Risk Reduction) Project and its predecessor, the Multi Hazards Demonstration Project in Southern California. Through leading and participating in these activities, we have recognized 3 steps that have been essential to successful partnerships between scientists and decision makers. First, determining what makes for a successful product cannot be done in isolation by either scientists or users. The users may want something science cannot produce (e.g., accurate short-term earthquake predictions), while the scientists can fail to see that the product they know how to make may not be relevant to the decisions that need to be made. Real discussions with real exchange and absorption of information on both sides makes for the most useful products. Second, most scientific results need work beyond what belongs in a journal to create a product that can be used. This is not just a different style of communication, but analyses that focus on the community's local questions rather than on scientific advances. Third, probabilities of natural hazards almost never motivate action to mitigate. The probabilities are usually low on human time scales and focus on the uncertainty, conveying a strong message that the hazard may not happen. Presenting the hazard as absolutely certain to occur, just on an unknown time scale is scientifically identical, but conveys a very different emotional message.

[Social neuroscience and psychiatry].

PubMed

Takahashi, Hidehiko

2013-01-01

The topics of emotion, decision-making, and consciousness have been traditionally dealt with in the humanities and social sciences. With the dissemination of noninvasive human neuroimaging techniques such as fMRI and the advancement of cognitive science, neuroimaging studies focusing on emotions, social cognition, and decision-making have become established. I overviewed the history of social neurosciences. The emerging field of social brain research or social neuroscience will greatly contribute to clinical psychiatry. In the first part. I introduced our early fMRI studies on social emotions such as guilt, embarrassment, pride, and envy. Dysfunction of social emotions can be observed in various forms of psychiatric disorder, and the findings should contribute to a better understanding of the pathophysiology of psychiatric conditions. In the second part, I introduced our recent interdisciplinary neuroscience approach combining molecular neuroimaging techniques(positron emission tomography: PET), cognitive sciences, and economics to understand the neural as well as molecular basis of altered decision-making in neuropsychiatric disorders. An interdisciplinary approach combing molecular imaging techniques and cognitive neuroscience and clinical psychiatry will provide new perspectives for understanding the neurobiology of impaired decision-making in neuropsychiatric disorders and drug development.

Science-based natural resource management decisions: what are they?

Treesearch

T.J. Mills; T.M. Quigley; F.J. Everest

2001-01-01

While many people interested in natural resources management propose science-based decisions, it is not clear what “science-based” means. Science-based decisions are those that result from the full and complete consideration of the relevant science information. We offer five guidelines to focus the scientist’s contributions to science-based decisionmaking and use the...

Defending climate science

NASA Astrophysics Data System (ADS)

Showstack, Randy

2012-01-01

The National Center for Science Education (NCSE), which has long been in the lead in defending the teaching of evolution in public schools, has expanded its core mission to include defending climate science, the organization announced in January. “We consider climate change a critical issue in our own mission to protect the integrity of science education,” said NSCE executive director Eugenie Scott. “Climate affects everyone, and the decisions we make today will affect generations to come. We need to teach kids now about the realities of global warming and climate change so that they're prepared to make informed, intelligent decisions in the future.”

Recent advances in applying decision science to managing national forests

Treesearch

Bruce G. Marcot; Matthew P. Thompson; Michael C. Runge; Frank R. Thompson; Steven McNulty; David Cleaves; Monica Tomosy; Larry A. Fisher; Andrew Bliss

2012-01-01

Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem...

Scientific basis for risk analysis of food-related substances with particular reference to health effects on children.

PubMed

Hayashi, Yuzo

2009-01-01

Based on the advance of toxicology and related sciences, a regulatory regime for the safety of chemicals related to daily life has been rapidly established. Especially for the food-related substances, the process of risk analysis has facilitated the collaboration by all the players including consumers toward the security of their safety. On the other hand, except for pharmaceuticals, science-based decisions and governmental actions on safety issues have not always gained confidence of the public. One of the reasons was the inadequacy in the way of use of scientific knowledge, or in other words, inappropriateness of decision making by "the regulatory science". Regulatory science is a science to warrant the decision making processes for governmental acts (Mitsuru Uchiyama). In the case of chemical safety, it can be redefined as a theoretical concept to complements the uncertainty of scientific knowledge for the decision of governmental acts that is adequate in both scientific and social ways. Therefore, the regulatory science is an indispensable discipline to effectively apply risk analysis. Here, the significance of the regulatory science for the hazard assessment of the chemicals, especially for children is described. In the past, the hazard effects of chemicals have been assessed for adults. Recently, however, the importance of the assessment for children has gained international emphases. Not only for pharmaceuticals, but for food-related substances, the acceptable daily intake (ADI) and tolerable daily intake (TDI) are often set differently for adults and children. The child-specific responses against chemicals are related not only to the physiological factors such as body weight, basal metabolism, but also rapid growth of the body with developmental status of various organs. General knowledge on these issues will be discussed mainly referring the World Health Organization (WHO) documents. Although the cutting edge technology backs up the development of toxicology, it would appear that it is reaching a turning point from technology-centrism to look toward the direction for contribution to society from the stand point of regulatory science.

Hypothetical biotechnology companies: A role-playing student centered activity for undergraduate science students.

PubMed

Chuck, Jo-Anne

2011-01-01

Science students leaving undergraduate programs are entering the biotechnology industry where they are presented with issues which require integration of science content. Students find this difficult as through-out their studies, most content is limited to a single subdiscipline (e.g., biochemistry, immunology). In addition, students need knowledge of the ethical, economic, and legal frame work in which the industry operates. This article presents an approach to deliver these outcomes in a collaborative and active learning modality which promotes deep learning. In the model, groups of final year undergraduate students form hypothetical biotechnology companies and identify real issues of interest to industry, make integrative team decisions, use professional level technology, and develop appropriate communication skills. The final successful teaching paradigm was based on self reflection, observation, and student feedback to ensure appropriate attainment of content, group work skills and increased confidence in professional decision-making. It is these outcomes which will facilitate life long learning skills, a major outcome applicable for all tertiary education. Copyright © 2011 Wiley Periodicals, Inc.

Collaboration and co-production of climate knowledge: lessons from a network on the front-line

NASA Astrophysics Data System (ADS)

Kettle, N.

2016-12-01

The science-practice gap is broadly considered a major barrier to the production and application of decision-relevant science. This study uses a social network analysis, based on 126 interviews, to analyze the roles and network ties among climate scientists, service providers, and decision makers in Alaska. Our research highlights the importance of key actors and significant differences in bonding and bridging ties across roles - structural characteristics that provide a basis for informing recommendations to build adaptive capacity and support the co-production of knowledge. Our findings also illustrate that some individuals in the network engage in multiple roles, suggesting that conceptualizing the science-practice interface as consisting of "producers" and "consumers" oversimplifies how individuals engage in climate science, services, and decision making. This research supports the notion that the development and use of climate information is a networked phenomenon. It also emphasizes the importance of centralized individuals who are capable of engaging in multiple roles for the transition of knowledge action.

Issuance of Final Guidance: Ecological Risk Assessment and Risk Management Principles for Superfund Sites, October 7, 1999

EPA Pesticide Factsheets

This guidance is intended to help Superfund risk managers make ecological risk management decisions that are based on sound science, consistent across Regions, and present a characterization of site risks that is transparent to the public.

Progress in evidence-based medicine: a quarter century on.

PubMed

Djulbegovic, Benjamin; Guyatt, Gordon H

2017-07-22

In response to limitations in the understanding and use of published evidence, evidence-based medicine (EBM) began as a movement in the early 1990s. EBM's initial focus was on educating clinicians in the understanding and use of published literature to optimise clinical care, including the science of systematic reviews. EBM progressed to recognise limitations of evidence alone, and has increasingly stressed the need to combine critical appraisal of the evidence with patient's values and preferences through shared decision making. In another progress, EBM incorporated and further developed the science of producing trustworthy clinical practice guidelines pioneered by investigators in the 1980s. EBM's enduring contributions to clinical medicine include placing the practice of medicine on a solid scientific basis, the development of more sophisticated hierarchies of evidence, the recognition of the crucial role of patient values and preferences in clinical decision making, and the development of the methodology for generating trustworthy recommendations. Copyright © 2017 Elsevier Ltd. All rights reserved.

Voices of decision makers on evidence-based policy: A case of evolving TB/HIV co-infection policy in India.

PubMed

Reddy, K Srikanth; Sahay, Seema

2016-01-01

This study explores decision makers' perspectives on evidence-based policy (EBP) development using the case of TB/HIV co-infection in India. Twelve in-depth interviews were conducted with purposively selected key national and international policy decision makers in India. Verbatim transcripts were processed and analysed thematically using QSR (NUD*IST 6). The decision makers were unequivocal in recognizing the TB/HIV co-infection as an important public health issue in India and stated the problem to be different than Africa. The need of having a "third programme" for co-infection was not felt. According to them, the public health management of this co-infection must be within the realm of these two programmes. The study also emphasized on decision makers' perspectives on evidence and the process of utilization of evidence for decision-making for co-infection. Study findings showed global evidence was not always accepted by the decision makers and study shows several examples of decision makers demanding local evidence for policy decisions. Decision makers did make interim policies based on global evidence but most of the time their mandate was to get local evidence. Thus, operations research/implementation science especially multi-centric studies emerge as important strategy for EBP development. Researcher-policy maker interface was a gap where role of researcher as aggressive communicator of research findings was expected.

A Hybrid-Cloud Science Data System Enabling Advanced Rapid Imaging & Analysis for Monitoring Hazards

NASA Astrophysics Data System (ADS)

Hua, H.; Owen, S. E.; Yun, S.; Lundgren, P.; Moore, A. W.; Fielding, E. J.; Radulescu, C.; Sacco, G.; Stough, T. M.; Mattmann, C. A.; Cervelli, P. F.; Poland, M. P.; Cruz, J.

2012-12-01

Volcanic eruptions, landslides, and levee failures are some examples of hazards that can be more accurately forecasted with sufficient monitoring of precursory ground deformation, such as the high-resolution measurements from GPS and InSAR. In addition, coherence and reflectivity change maps can be used to detect surface change due to lava flows, mudslides, tornadoes, floods, and other natural and man-made disasters. However, it is difficult for many volcano observatories and other monitoring agencies to process GPS and InSAR products in an automated scenario needed for continual monitoring of events. Additionally, numerous interoperability barriers exist in multi-sensor observation data access, preparation, and fusion to create actionable products. Combining high spatial resolution InSAR products with high temporal resolution GPS products--and automating this data preparation & processing across global-scale areas of interests--present an untapped science and monitoring opportunity. The global coverage offered by satellite-based SAR observations, and the rapidly expanding GPS networks, can provide orders of magnitude more data on these hazardous events if we have a data system that can efficiently and effectively analyze the voluminous raw data, and provide users the tools to access data from their regions of interest. Currently, combined GPS & InSAR time series are primarily generated for specific research applications, and are not implemented to run on large-scale continuous data sets and delivered to decision-making communities. We are developing an advanced service-oriented architecture for hazard monitoring leveraging NASA-funded algorithms and data management to enable both science and decision-making communities to monitor areas of interests via seamless data preparation, processing, and distribution. Our objectives: * Enable high-volume and low-latency automatic generation of NASA Solid Earth science data products (InSAR and GPS) to support hazards monitoring. * Facilitate NASA-USGS collaborations to share NASA InSAR and GPS data products, which are difficult to process in high-volume and low-latency, for decision-support. * Enable interoperable discovery, access, and sharing of NASA observations and derived actionable products, and between the observation and decision-making communities. * Enable their improved understanding through visualization, mining, and cross-agency sharing. Existing InSAR & GPS processing packages and other software are integrated for generating geodetic decision support monitoring products. We employ semantic and cloud-based data management and processing techniques for handling large data volumes, reducing end product latency, codifying data system information with semantics, and deploying interoperable services for actionable products to decision-making communities.

Carbon Cycle Science in Support of Decision-Making

NASA Astrophysics Data System (ADS)

Brown, M. E.; West, T. O.; McGlynn, E.; Gurwick, N. P.; Duren, R. M.; Ocko, I.; Paustian, K.

2016-12-01

There has been an extensive amount of basic and applied research conducted on biogeochemical cycles, land cover change, watershed to earth system modeling, climate change, and energy efficiency. Concurrently, there continues to be interest in how to best reduce net carbon emissions, including maintaining or augmenting global carbon stocks and decreasing fossil fuel emissions. Decisions surrounding reductions in net emissions should be grounded in, and informed by, existing scientific knowledge and analyses in order to be most effective. The translation of scientific research to decision-making is rarely direct, and often requires coordination of objectives or intermediate research steps. For example, complex model output may need to be simplified to provide mean estimates for given activities; biogeochemical models used for climate change prediction may need to be altered to estimate net carbon flux associated with particular activities; or scientific analyses may need to aggregate and analyze data in a different manner to address specific questions. In the aforementioned cases, expertise and capabilities of researchers and decision-makers are both needed, and early coordination and communication is most effective. Initial analysis of existing science and current decision-making needs indicate that (a) knowledge that is co-produced by scientists and decision-makers has a higher probability of being usable for decision making, (b) scientific work in the past decade to integrate activity data into models has resulted in more usable information for decision makers, (c) attribution and accounting of carbon cycle fluxes is key to using carbon cycle science for decision-making, and (d) stronger, long-term links among research on climate and management of carbon-related sectors (e.g., energy, land use, industry, and buildings) are needed to adequately address current issues.

Beyond the lab: observations on the process by which science successfully informs management and policy decisions

NASA Astrophysics Data System (ADS)

Flores, S.

2012-12-01

Scientific findings inform management decisions and policy products through various ways, these include: synthesis reports, white papers, in-person and web-based seminars (webinars), communication from specialized staff, and seminal peer-reviewed journal articles. Scientists are often told that if they want their science to inform management decisions and policy products that they must: clearly and simply articulate discreet pieces of scientific information and avoid attaching advocacy messages to the science; however, solely relying on these tenants does not ensure that scientific products will infuse the realms of management and policy. The process by which science successfully informs management decisions and policy products rarely begins at the time the results come out of the lab, but rather, before the research is carried out. Having an understanding of the political climate, management needs, agency research agendas, and funding limitations, as well as developing a working relationship with the intended managers and policy makers are key elements to developing the kind of science results and products that often make an impact in the management and policy world. In my presentation I will provide case-studies from California (USA) to highlight the type of coastal, ocean and climate science that has been successful in informing management decisions and policy documents, as well as provide a state-level agency perspective on the process by which this occurs.

Science, governance, and public participation: an analysis of decision making on genetic modification in Aotearoa/New Zealand.

PubMed

Kurian, Priya; Wright, Jeanette

2012-05-01

The acceptance of public participation in science and technology governance in liberal democratic contexts is evident in the institutionalization of a variety of mechanisms for participation in recent decades. Yet questions remain about the extent to which institutions have actually transformed their policy practice to embrace democratic governance of techno-scientific decision making. A critical discourse analysis of the response to public participation by the Environmental Risk ManagementAuthority (ERMA), the key decision-making body on genetic modification in Aotearoa/New Zealand, in a specific case demonstrates that ERMA systematically marginalized concerns raised by the public about risk management, ethics, and ecological, economic, and cultural issues in order to give primacy to a positivist, technological worldview. Such delegitimization of public perspectives pre-empts the possibility of the democratic governance of science.

Holistic science: An understanding of science education encompassing ethical and social issues

NASA Astrophysics Data System (ADS)

Malekpour, Susan

Science has often been viewed, by the majority of our educators and the general public, as being objective and emotionless. Based on this view, our educators teach science in the same manner, objectively and in an abstract form. This manner of teaching has hindered our learners' ability for active learning and distanced them from the subject matter. In this action research, I have examined holistic science pedagogy in conjunction with a constructivism theory. In holistic science pedagogy, scientific knowledge is combined with subjective personal experiences and social issues. There is an interaction between student and scientific data when the student's context, relationships, and lived experiences that play a role in the scientific recognition of the world were incorporated into the learning process. In this pedagogical model, the factual content was viewed from the context of social and ethical implications. By empowering learners with this ability, science knowledge will no longer be exclusive to a select group. This process empowers the general population with the ability to understand scientific knowledge and therefore the ability to make informed decisions based on this knowledge. The goal was to make curriculum developers more conscious of factors that can positively influence the learning process and increase student engagement and understanding within the science classroom. The holistic approach to science pedagogy has enlightened and empowered our adult learners more effectively. Learners became more actively engaged in their own process of learning. Teachers must be willing to listen and implement student suggestions on improving the teaching/learning process. Teachers should be willing to make the effort in connecting with their students by structuring courses so the topics would be relevant to the students in relation to real world and social/ethical and political issues. Holistic science pedagogy strives for social change through the empowerment of adult learners with scientific knowledge. This research has demonstrated that learners can better understand the decision-making process and more easily relate their experiences, and therefore their knowledge, to social/political and ethical issues.

Application of Construal Level and Value-Belief Norm Theories to Undergraduate Decision-Making on a Wildlife Socio-Scientific Issue

ERIC Educational Resources Information Center

Sutter, A. McKinzie; Dauer, Jenny M.; Forbes, Cory T.

2018-01-01

One aim of science education is to develop scientific literacy for decision-making in daily life. Socio-scientific issues (SSI) and structured decision-making frameworks can help students reach these objectives. This research uses value belief norm (VBN) theory and construal level theory (CLT) to explore students' use of personal values in their…

Signal Detection Analysis of Computer Enhanced Group Decision Making Strategies

DTIC Science & Technology

2007-11-01

group decision making. 20 References American Psychological Association (2002). Ethical principles of psychologists and code of conduct. American... Creelman , C. D. (2005). Detection theory: A user’s guide (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. Sorkin, R. D. (1998). Group performance depends on...the majority rule. Psychological Science, 9, 456-463. Sorkin, R. D. (2001). Signal-detection analysis of group decision making. Psychological

Leveraging federal science data and tools to help communities & business build climate resilience

NASA Astrophysics Data System (ADS)

Herring, D.

2016-12-01

Decision-makers in every sector and region of the United States are seeking actionable science-based information to help them understand and manage their climate-related risks. Translating data, tools and information from the domain of climate science to the domains of municipal, social, and economic decision-making raises complex questions—e.g., how to communicate causes and impacts of climate variability and change; how to show projections of plausible future climate scenarios; how to characterize and quantify vulnerabilities, risks, and opportunities facing communities and businesses; and how to make and implement "win-win" adaptation plans. These are the types of challenges being addressed by a public-private partnership of federal agencies, academic institutions, non-governmental organizations, and private businesses that are contributing to the development of the U.S. Climate Resilience Toolkit (toolkit.climate.gov), a new website designed to help people build resilience to extreme events caused by both natural climate variability and long-term climate change. The site's Climate Explorer is designed to help people understand potential climate conditions over the course of this century. It offers easy access to downloadable maps, graphs, and data tables of observed and projected temperature, precipitation and other decision-relevant climate variables dating back to 1950 and out to 2100. Of course, climate change is only one of many variables affecting decisions about the future so the Toolkit also ties climate information to a wide range of other relevant tools and information to help users to explore their vulnerabilities and risks. In this session, we will describe recent enhancements to the Toolkit, lessons learned from user engagements, and evidence that our approach of coupling scientific information with actionable decision-making processes is helping Americans build resilience to climate-related impacts.

Towards Understanding and Managing Sustainable Complex, Dynamic Environmental/Economic/Social Systems - The Evolving Role of the Natural Sciences

EPA Science Inventory

Historically the natural sciences have played a major role in informing environmental management decisions. However, review of landmark cases like Love Canal, NY and Times Beach, MO have shown that the value of natural science information in decision making can be overwhelmed by ...

Conditions and Decisions of Urban Elementary Teachers Regarding Instruction of STEM Curriculum

ERIC Educational Resources Information Center

Smith, Erica L.; Parker, Carolyn A.; McKinney, David; Grigg, Jeffrey

2018-01-01

The study was situated in a National Science Foundation supported Math Science Partnership between a private university and an urban school district. This study sought to understand the decision-making process of elementary teachers as they implement an integrated science, technology, engineering, and mathematics (STEM) curriculum in their…

Disputes over science and dispute resolution approaches - A survey of Bureau of Reclamation employees

USGS Publications Warehouse

Burkardt, Nina; Ruell, Emily W.

2012-01-01

Water resources in parts of the Western United States are over-allocated, which intensifies the pressure to support water management decisions with strong scientific evidence. Because scientific studies sometimes provide uncertain or competing results or recommendations, science can become a source of disputes during decision-making processes. The Bureau of Reclamation (Reclamation) is an important water manager in the Western United States, and Reclamation decision processes are often contested by a variety of affected constituencies. We conducted a Web-based survey of Reclamation employees to determine (1) which types of disputes over science are occurring and how common they are, (2) which approaches have been used by Reclamation to try to resolve these different types of disputes, (3) how useful Reclamation employees find these approaches at resolving these types of disputes, (4) the final outcomes of these disputes and the decision-making processes that were hindered by the disputes over science, and (5) the potential usefulness of several different types of dispute resolution resources that Reclamation could provide for employees that become involved in disputes over science. The calculated minimum response rate for the survey was 59 percent. Twenty-five percent of respondents indicated that they had been involved in a dispute over science while working at Reclamation. Native species and species listed under the Endangered Species Act of 1973 were the most common issue types reported in these disputes over science. Survey respondents indicated that they used a variety of approaches to resolve disputes over science and rated most approaches as either neutral or somewhat helpful in these endeavors. Future research is needed to determine whether there are additional variables underlying these disputes that were not measured in this survey that may identify when dispute resolution methods are most effective, or whether resolving aspects of these disputes, such as differing interpretations of science, is very difficult or impossible regardless of the dispute resolution methods used.

The Relationship of Science Knowledge, Attitude and Decision Making on Socio-Scientific Issues: The Case Study of Students' Debates on a Nuclear Power Plant in Korea

ERIC Educational Resources Information Center

Jho, Hunkoog; Yoon, Hye-Gyoung; Kim, Mijung

2014-01-01

The purpose of this study was to investigate the relationship of students' understanding of science knowledge, attitude and decision making on socio-scientific issues (SSI), especially on the issues of nuclear energy in Korea. SSI-focused instructions were developed to encourage students to understand and reflect on knowledge, attitude and…

Mapping collective behavior in the big-data era.

PubMed

Bentley, R Alexander; O'Brien, Michael J; Brock, William A

2014-02-01

The behavioral sciences have flourished by studying how traditional and/or rational behavior has been governed throughout most of human history by relatively well-informed individual and social learning. In the online age, however, social phenomena can occur with unprecedented scale and unpredictability, and individuals have access to social connections never before possible. Similarly, behavioral scientists now have access to "big data" sets - those from Twitter and Facebook, for example - that did not exist a few years ago. Studies of human dynamics based on these data sets are novel and exciting but, if not placed in context, can foster the misconception that mass-scale online behavior is all we need to understand, for example, how humans make decisions. To overcome that misconception, we draw on the field of discrete-choice theory to create a multiscale comparative "map" that, like a principal-components representation, captures the essence of decision making along two axes: (1) an east-west dimension that represents the degree to which an agent makes a decision independently versus one that is socially influenced, and (2) a north-south dimension that represents the degree to which there is transparency in the payoffs and risks associated with the decisions agents make. We divide the map into quadrants, each of which features a signature behavioral pattern. When taken together, the map and its signatures provide an easily understood empirical framework for evaluating how modern collective behavior may be changing in the digital age, including whether behavior is becoming more individualistic, as people seek out exactly what they want, or more social, as people become more inextricably linked, even "herdlike," in their decision making. We believe the map will lead to many new testable hypotheses concerning human behavior as well as to similar applications throughout the social sciences.

Understanding the Science behind EPA’s Pesticide Decisions

EPA Pesticide Factsheets

Science is key to EPA’s decision-making. EPA scientists review these data to determine whether to register a pesticide product or use and any need for specific restrictions. EPA maintains a transparent, public process in assessing potential human health ri

Tools for Reflection: Video-Based Reflection Within a Preservice Community of Practice

NASA Astrophysics Data System (ADS)

Hawkins, Susan; Park Rogers, Meredith

2016-06-01

Current reform in science education calls for teachers to understand student thinking within a lesson to effectively address students' needs (NRC in A framework for K-12 science education: practices, crosscutting concepts, and core ideas. National Academy Press, Washington, DC, 2012; NRC in Guide to implementing the Next Generation Science Standards. The National Academies Press, Washington, DC, 2015). This study investigates how to scaffold preservice teachers with learning to attend to students' thinking for the purpose of guiding curricular decisions. The study focuses on one team teaching a science unit during their early field experience. We sought to understand how participants' thoughts and abilities changed through participation in a moderated community of practice using video of their own teaching as a reflective tool. We examined how these changes affected both their classroom practice and their decision-making for future lessons. Evidence shows growth in participants' ability to identify opportunities to elicit, assess, and use students' thinking to guide instructional decisions. Implications for use of the approach used in this study to begin developing novice teachers' pedagogical content knowledge for teaching science are discussed.

Supporting tribal agriculture and natural resources in a changing climate working group

USDA-ARS?s Scientific Manuscript database

The U.S. Department of Agriculture (USDA) Climate Hubs were created in 2014 to deliver science-based, region-specific information and technologies to enable climate-informed decision-making. Our stakeholders include agricultural and natural resource managers (i.e. farmers, ranchers, forest land mana...

Urban high school students' perspectives about sexual health decision-making: the role of school culture and identity

NASA Astrophysics Data System (ADS)

Brotman, Jennie S.; Mensah, Felicia Moore

2013-06-01

Studies across fields such as science education, health education, health behavior, and curriculum studies identify a persistent gap between the aims of the school curriculum and its impact on students' thinking and acting about the real-life decisions that affect their lives. The present study presents a different story from this predominant pattern in the literature. Through a year-long ethnographic investigation of a health-focused New York City public high school's HIV/AIDS and sex education program, this study illustrates a case in which 20 12th grade students respond positively to their education on these topics and largely assert that school significantly influences their perspectives and actions related to sexual health decision-making. This paper presents the following interpretation of this positive influence: school culture influences these students' perspectives and decisions around sexual health by contributing to the formation of students' identities. This paper further shows how science learning in particular becomes important for students in relation to decision-making when it is linked to issues of identity. These findings suggest that, in addition to attending to the design of classroom curriculum, HIV/AIDS and sex education researchers and curriculum developers (as well as those in science education focusing on other controversial science topics) might also explore the kinds of relational and school-wide factors that potentially influence students' identities, decisions, and responses to school learning.

Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making - Proceedings of a Workshop

USGS Publications Warehouse

Hogan, Dianna; Arthaud, Greg; Pattison, Malka; Sayre, Roger G.; Shapiro, Carl

2010-01-01

The analytical framework for understanding ecosystem services in conservation, resource management, and development decisions is multidisciplinary, encompassing a combination of the natural and social sciences. This report summarizes a workshop on 'Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making,' which focused on the analytical process and on identifying research priorities for assessing ecosystem services, their production and use, their spatial and temporal characteristics, their relationship with natural systems, and their interdependencies. Attendees discussed research directions and solutions to key challenges in developing the analytical framework. The discussion was divided into two sessions: (1) the measurement framework: quantities and values, and (2) the spatial framework: mapping and spatial relationships. This workshop was the second of three preconference workshops associated with ACES 2008 (A Conference on Ecosystem Services): Using Science for Decision Making in Dynamic Systems. These three workshops were designed to explore the ACES 2008 theme on decision making and how the concept of ecosystem services can be more effectively incorporated into conservation, restoration, resource management, and development decisions. Preconference workshop 1, 'Developing a Vision: Incorporating Ecosystem Services into Decision Making,' was held on April 15, 2008, in Cambridge, MA. In preconference workshop 1, participants addressed what would have to happen to make ecosystem services be used more routinely and effectively in conservation, restoration, resource management, and development decisions, and they identified some key challenges in developing the analytical framework. Preconference workshop 3, 'Developing an Institutional Framework: Incorporating Ecosystem Services into Decision Making,' was held on October 30, 2008, in Albuquerque, NM; participants examined the relationship between the institutional framework and the use of ecosystem services in decision making.

An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska

USGS Publications Warehouse

Holland-Bartels, Leslie; Pierce, Brenda

2011-01-01

The U. S. Geological Survey (USGS) was asked to conduct an initial, independent evaluation of the science needs that would inform the Administration's consideration of the right places and the right ways in which to develop oil and gas resources in the Arctic Outer Continental Shelf (OCS), particularly focused on the Beaufort and Chukchi Seas. Oil and gas potential is significant in Arctic Alaska. Beyond petroleum potential, this region supports unique fish and wildlife resources and ecosystems, and indigenous people who rely on these resources for subsistence. This report summarizes key existing scientific information and provides initial guidance of what new and (or) continued research could inform decision making. This report is presented in a series of topical chapters and various appendixes each written by a subset of the USGS OCS Team based on their areas of expertise. Three chapters (Chapters 2, 3, and 4) provide foundational information on geology; ecology and subsistence; and climate settings important to understanding the conditions pertinent to development in the Arctic OCS. These chapters are followed by three chapters that examine the scientific understanding, science gaps, and science sufficiency questions regarding oil-spill risk, response, and impact (Chapter 5), marine mammals and anthropogenic noise (Chapter 6), and cumulative impacts (Chapter 7). Lessons learned from the 1989 Exxon Valdez Oil Spill are included to identify valuable "pre-positioned" science and scientific approaches to improved response and reduced uncertainty in damage assessment and restoration efforts (appendix D). An appendix on Structured Decision Making (appendix C) is included to illustrate the value of such tools that go beyond, but incorporate, science in looking at what can/should be done about policy and implementation of Arctic development. The report provides a series of findings and recommendations for consideration developed during the independent examination of science gaps and sufficiency. These recommendations are important for understanding what the USGS discovered in the course of this study and to help inform and improve decision making.

Exposing ecological and economic costs of the research-implementation gap and compromises in decision making.

PubMed

Kareksela, Santtu; Moilanen, Atte; Ristaniemi, Olli; Välivaara, Reima; Kotiaho, Janne S

2018-02-01

The frequently discussed gap between conservation science and practice is manifest in the gap between spatial conservation prioritization plans and their implementation. We analyzed the research-implementation gap of one zoning case by comparing results of a spatial prioritization analysis aimed at avoiding ecological impact of peat mining in a regional zoning process with the final zoning plan. We examined the relatively complex planning process to determine the gaps among research, zoning, and decision making. We quantified the ecological costs of the differing trade-offs between ecological and socioeconomic factors included in the different zoning suggestions by comparing the landscape-level loss of ecological features (species occurrences, habitat area, etc.) between the different solutions for spatial allocation of peat mining. We also discussed with the scientists and planners the reasons for differing zoning suggestions. The implemented plan differed from the scientists suggestion in that its focus was individual ecological features rather than all the ecological features for which there were data; planners and decision makers considered effects of peat mining on areas not included in the prioritization analysis; zoning was not truly seen as a resource-allocation process and not emphasized in general minimizing ecological losses while satisfying economic needs (peat-mining potential); and decision makers based their prioritization of sites on site-level information showing high ecological value and on single legislative factors instead of finding a cost-effective landscape-level solution. We believe that if the zoning and decision-making processes are very complex, then the usefulness of science-based prioritization tools is likely to be reduced. Nevertheless, we found that high-end tools were useful in clearly exposing trade-offs between conservation and resource utilization. © 2017 Society for Conservation Biology.

Complexity Science: A Mechanism for Strategic Foresight and Resiliency in National Security Decision-Making.

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

Ackermann, Mark R.; Hayden, Nancy Kay; Backus, George A.

Most national policy decisions are complex with a variety of stakeholders, disparate interests and the potential for unintended consequences. While a number of analytical tools exist to help decision makers sort through the mountains of data and myriad of options, decision support teams are increasingly turning to complexity science for improved analysis and better insight into the potential impact of policy decisions. While complexity science has great potential, it has only proven useful in limited case s and when properly applied. In advance of more widespread use, a national - level effort to refine complexity science and more rigorously establishmore » its technical underpinnings is recommended.« less

Climate in Context - How partnerships evolve in regions

NASA Astrophysics Data System (ADS)

Parris, A. S.

2014-12-01

In 2015, NOAA's RISA program will celebrate its 20th year of exploration in the development of usable climate information. In the mid-1990s, a vision emerged to develop interdisciplinary research efforts at the regional scale for several important reasons. Recognizable climate patterns, such as the El Nino Southern Oscillation (ENSO), emerge at the regional level where our understanding of observations and models coalesce. Critical resources for society are managed in a context of regional systems, such as water supply and human populations. Multiple scales of governance (local, state, and federal) with complex institutional relationships can be examined across a region. Climate information (i.e. data, science, research etc) developed within these contexts has greater potential for use. All of this work rests on a foundation of iterative engagement between scientists and decision makers. Throughout these interactions, RISAs have navigated diverse politics, extreme events and disasters, socio-economic and ecological disruptions, and advances in both science and technology. Our understanding of information needs is evolving into a richer understanding of complex institutional, legal, political, and cultural contexts within which people can use science to make informed decisions. The outcome of RISA work includes both cases where climate information was used in decisions and cases where capacity for using climate information and making climate resilient decisions has increased over time. In addition to balancing supply and demand of scientific information, RISAs are engaged in a social process of reconciling climate information use with important drivers of society. Because partnerships are critical for sustained engagement, and because engagement is critically important to the use of science, the rapid development of new capacity in regionally-based science programs focused on providing climate decision support is both needed and challenging. New actors can bolster existing partnerships, but also impact trust developed through engagement. Examining other partnership-driven science initiatives, such as Digital Coast or NIDIS, can help identify critical elements of governance and network management that could be applied to the regional climate programs.

NASA Enterprise Architecture and Its Use in Transition of Research Results to Operations

NASA Astrophysics Data System (ADS)

Frisbie, T. E.; Hall, C. M.

2006-12-01

Enterprise architecture describes the design of the components of an enterprise, their relationships and how they support the objectives of that enterprise. NASA Stennis Space Center leads several projects involving enterprise architecture tools used to gather information on research assets within NASA's Earth Science Division. In the near future, enterprise architecture tools will link and display the relevant requirements, parameters, observatories, models, decision systems, and benefit/impact information relationships and map to the Federal Enterprise Architecture Reference Models. Components configured within the enterprise architecture serving the NASA Applied Sciences Program include the Earth Science Components Knowledge Base, the Systems Components database, and the Earth Science Architecture Tool. The Earth Science Components Knowledge Base systematically catalogues NASA missions, sensors, models, data products, model products, and network partners appropriate for consideration in NASA Earth Science applications projects. The Systems Components database is a centralized information warehouse of NASA's Earth Science research assets and a critical first link in the implementation of enterprise architecture. The Earth Science Architecture Tool is used to analyze potential NASA candidate systems that may be beneficial to decision-making capabilities of other Federal agencies. Use of the current configuration of NASA enterprise architecture (the Earth Science Components Knowledge Base, the Systems Components database, and the Earth Science Architecture Tool) has far exceeded its original intent and has tremendous potential for the transition of research results to operational entities.

Emotion in the Law and the Lab: The Case of Graphic Cigarette Warnings

PubMed Central

Peters, Ellen; Evans, Abigail T.; Hemmerich, Natalie; Berman, Micah

2017-01-01

The decision in RJ Reynolds vs. FDA (2012) to invalidate FDA’s proposed graphic health warnings was based in part on the reasoning that the proposed graphic warnings cued emotional responses and therefore could not be considered “factual.” However, this reasoning demonstrated the courts’ fundamental misunderstanding of current behavioral-science research. In contrast to the courts’ artificial separation of emotions from fact, we synthesize and interpret relevant research in basic decision sciences and describe an evidence-based characterization of how emotions influence consumer decision making through multiple mechanisms. We then explore how behavioral research gets “lost in translation” in the legal process and recommend ways that behavioral scientists can work with attorneys to remedy this problem. In order for science-based tobacco regulation to survive legal challenges from the tobacco industry, courts must have access to and be able to understand and apply the relevant research. Accordingly, behavioral laboratory researchers must consider the courts as an additional audience when designing research and reporting results. Researchers wishing to influence policy should also work closely with public health lawyers to have the greatest impact on the legal system. PMID:29057296

If We Know So Much, Why Do We Make Such Crummy Decisions?

NASA Astrophysics Data System (ADS)

Davis, M.

2017-12-01

If We Know So Much, Why Do We Make Such Crummy Decisions?Mark Davis Senior Research Fellow Director, Tulane Institute on Water Resources Law and Policy Director, ByWater Institute at Tulane University A Presentation to American Geophysical Union Translational Hydrology: Moving from Science to Decisions Panel December 2017 For much of human history, water management and science have not been on a first name basis. Waters have been dammed, diverted, pumped and filled for many reasons, occasionally even in ways that reflected a deep respect for hydrology and even less occasionally for ecology. But the simple fact is that water management decisions have long been rooted in utilitarian relations to power and property and not in science-and for the most part still are. Over the past 50 years or state and federal laws have grafted science driven concerns into a wide range of governmental decisions through acts like the National Environmental Policy Act, the Endangered Species Act, the Clean Water Act and others. As a result, science influences decisions but does not compel them; for the most part, there is no actual pathway from science to decisions. Science is not its own advocate and even the best information does not compel action without help from factors rooted in law, policy, property, and power. Understanding this basic fact and the architecture of decision-making for a given action are key to ensuring that the connections between science and decisions are robust. An example of this can be seen in the plans to counter sea level rise and coastal land loss in Louisiana. Extensive plans with a strong science and engineering foundation have been drawn that call for a complex system of public works projects that would essentially reconnect the coast with the rivers that built and nurtured it. What those plans do not do is say how those projects would be authorized or financed. They do not say what rights they have to redirect waters or the even how what rights the State has to those waters. And they do not say how competing right to use and access water will be reconciled. Without those things even the best plan is more a prayer than a prelude to action.

The Influence of Global Warming Science Views and Sociocultural Factors on Willingness to Mitigate Global Warming

ERIC Educational Resources Information Center

Herman, Benjamin C.

2015-01-01

The science education field readily recognizes that perceptions about science's claims and nature influence socioscientific decision making. However, sociocultural factors may overshadow these perceptions when people are forced to make personally impacting choices contextualized within actual socioscientific issues. This investigation…

Toward actionable science: Empowering ecologists to engage in the process of translation through decision-maker and stakeholder partnerships

NASA Astrophysics Data System (ADS)

Enquist, C.; Jackson, S. T.; Garfin, G. M.

2017-12-01

Translational ecology is an approach by which ecologists, stakeholders, and decision-makers work collaboratively to develop and deliver ecological research that, ideally, results in actionable science that leads to improved environmental decision-making. We analyzed a diverse array of real-world case studies and distilled six principles that characterize the practice of translational ecology: communication, commitment, collaboration, engagement, process, and decision-framing. In this talk, we highlight a subset of the case studies that illustrate these principles. Notably, we found that translational ecology is distinct from both basic and applied ecological research. As a practice, the approach deliberately extends research beyond theory or opportunistic applications, motivated by a search for outcomes that directly serve the needs of natural resource managers and decision-makers. Translational ecology is also distinct from knowledge co-production in that it does not require deep engagement between collaborators, although incorporating differing modes of co-production relative to the decision context, associated time frame, and available financial resources can greatly enhance the translational approach. Although there is a need for incentives to pursue in this type of work, we found that the creativity and context-specific knowledge of resource managers, practitioners, and decision-makers informs and enriches the scientific process, helping shape actionable science. Moreover, the process of addressing research questions arising from on-the-ground management issues, rather than from the top-down or expert-oriented perspectives of traditional science, can foster the long-term trust and commitment that is critical for long-term, sustained engagement between partners. Now, perhaps more than ever, the climate and environmental issues facing society are complex, often politicized, and value-laden. We argue that ecological science should play a key role in informing these problems and ecologists can engage as important partners committed to finding solutions. More broadly, scientists that embrace translational approaches are poised to make science-informed decision-making a reality in the face of a rapidly changing global environment.

Evidence-based periodontal therapy: An overview

PubMed Central

Vijayalakshmi, R.; Anitha, V.; Ramakrishnan, T.; Sudhakar, Uma

2008-01-01

Dentists need to make clinical decisions based on limited scientific evidence. In clinical practice, a clinician must weigh a myriad of evidences every day. The goal of evidence-based dentistry is to help practitioners provide their patients with optimal care. This is achieved by integrating sound research evidence with personal clinical expertise and patient values to determine the best course of treatment. Periodontology has a rich background of research and scholarship. Therefore, efficient use of this wealth of research data needs to be a part of periodontal practice. Evidence-based periodontology aims to facilitate such an approach and it offers a bridge from science to clinical practice. The clinician must integrate the evidence with patient preference, scientific knowledge, and personal experience. Most important, it allows us to care for our patients. Therefore, evidence-based periodontology is a tool to support decision-making and integrating the best evidence available with clinical practice. PMID:20142947

Nature of collective decision-making by simple yes/no decision units.

PubMed

Hasegawa, Eisuke; Mizumoto, Nobuaki; Kobayashi, Kazuya; Dobata, Shigeto; Yoshimura, Jin; Watanabe, Saori; Murakami, Yuuka; Matsuura, Kenji

2017-10-31

The study of collective decision-making spans various fields such as brain and behavioural sciences, economics, management sciences, and artificial intelligence. Despite these interdisciplinary applications, little is known regarding how a group of simple 'yes/no' units, such as neurons in the brain, can select the best option among multiple options. One prerequisite for achieving such correct choices by the brain is correct evaluation of relative option quality, which enables a collective decision maker to efficiently choose the best option. Here, we applied a sensory discrimination mechanism using yes/no units with differential thresholds to a model for making a collective choice among multiple options. The performance corresponding to the correct choice was shown to be affected by various parameters. High performance can be achieved by tuning the threshold distribution with the options' quality distribution. The number of yes/no units allocated to each option and its variability profoundly affects performance. When this variability is large, a quorum decision becomes superior to a majority decision under some conditions. The general features of this collective decision-making by a group of simple yes/no units revealed in this study suggest that this mechanism may be useful in applications across various fields.

Parental influences on adolescent decision making and contraceptive use.

PubMed

Commendador, Kathleen A

2010-01-01

This article reviews the literature in the area of parental and maternal influences on contraceptive decision making, thus determining future directions of research and potential interventions. A review of published literature using PubMed, CINAHL, Infotrak, Science and Technology, and Medline spanning 1980-2007 was used to gather information. Results from 35 research studies and 15 scholarly articles were included. The search terms adolescent decision making, maternal influences on adolescent contraceptive decision making, adolescent contraceptive decision making, paternal influences on adolescent decision making, and contraception were used to gather data. The literature reveals there is an association between parental communication, parenting style, and adolescent sexual activity and contraception use. Maternal communication has been shown to delay sexual intercourse and increase contraceptive use. Maternal communication has rich potential as an intervention to impact positive adolescent sexual decision making and contraception use. Gaps in the research identified were the lack of studies on the influences on parenting style and the father/adolescent influences on sexual initiation and contraceptive decision making.

Learning & Memory: The Brain in Action.

ERIC Educational Resources Information Center

Sprenger, Marilee

Based on the assumption that the more teachers know about brain science, the better prepared they will be to make instructional decisions, this book presents information on current research regarding learning and memory, and applies the research to situations that educators face daily. Chapter 1 examines the structure of the brain and its…

Genetics Curriculum Materials for the 21st Century

ERIC Educational Resources Information Center

Dawson, Vaille; Carson, Katherine; Venville, Grady

2010-01-01

The purpose of this project was to provide innovative and cutting edge genetics materials for 14-17 year olds (Year 10-12) in Australian schools, which aimed to engage students and encourage evidence based decision-making. In 2008, an Australian School Innovation in Science, Technology and Mathematics (ASISTM) project called "Genetics…

Regional services in a research context: USDA Climate Hubs in the Agricultural Research Service

USDA-ARS?s Scientific Manuscript database

Ten USDA Climate Hubs were created in 2014 to develop and deliver science-based, region-specific information and technologies to better enable agricultural decision-making and management to promote resilient working landscapes. Of these ten Hubs, half are administered by USDA’s Agricultural Research...

Adaptation to climate variability: The role of the USDA Southern Plains Climate Hub

USDA-ARS?s Scientific Manuscript database

The Southern Plains USDA Climate Hub was established in 2014 in El Reno, Oklahoma to develop and deliver science-based, information and technologies to agricultural and natural resource land managers that enable climate-informed decision-making, and to provide access to assistance to implement those...

A Systems Approach to Creativity Based on Jungian Typology.

ERIC Educational Resources Information Center

Krippner, Stanley

1983-01-01

Two dimensions of Carl Jung's psychological system (preference for information and choice of decision making processes) are applied to creativity research. Examples of four personality types (sensing- thinking, sensing-feeling, intuition-feeling, and intuition-thinking) are represented by prominent social scientists. A systems model of science is…

Using exposure bands for rapid decision making in the RISK21 tiered exposureassessment

EPA Science Inventory

The ILSI Health and Environmental Sciences Institute (HESI) Risk Assessment in the 21st Century (RISK21) project was initiated to address and catalyze improvements in human health risk assessment. RISK21 is a problem formulation-based conceptual roadmap and risk matrix visualizat...

Merging Information Literacy and Evidence-Based Practice in an Undergraduate Health Sciences Curriculum Map

ERIC Educational Resources Information Center

Franzen, Susan; Bannon, Colleen M.

2016-01-01

The ACRL's "Framework for Information Literacy for Higher Education" offers the opportunity to rethink information literacy teaching and curriculum. However, the ACRL's rescinded "Information Literacy Competency Standards for Higher Education" correlate with the preferred research and decision-making model of the health…

Regional services in a research context: USDA climate hubs in the agricultural research service

USDA-ARS?s Scientific Manuscript database

Ten USDA Climate Hubs were created in 2014 to develop and deliver science-based, region-specific information and technologies to better enable agricultural decision-making and management. Of these ten Hubs, half are administered by USDA’s Agricultural Research Service (ARS), an agency with historica...

INTEGRATED WATERSHED MANAGEMENT: LINKING SCIENCE TO DECISION MAKING

EPA Science Inventory

This paper describes some of the challenges and benefits of taking an integrated watershed approach to achieving Clean Water Act (CWA) and Safe Drinking Water Act (SDWA) goals, and some of the activities in EPA to facilitate watershed management decision making.

Environmental Public Health Applications Using Remotely Sensed Data.

PubMed

Al-Hamdan, Mohammad Z; Crosson, William L; Economou, Sigrid A; Estes, Maurice G; Estes, Sue M; Hemmings, Sarah N; Kent, Shia T; Puckett, Mark; Quattrochi, Dale A; Rickman, Douglas L; Wade, Gina M; McClure, Leslie A

2014-01-01

We describe a remote sensing and GIS-based study that has three objectives: (1) characterize fine particulate matter (PM 2.5 ), insolation and land surface temperature using NASA satellite observations, EPA ground-level monitor data and North American Land Data Assimilation System (NLDAS) data products on a national scale; (2) link these data with public health data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) national cohort study to determine whether these environmental risk factors are related to cognitive decline, stroke and other health outcomes; and (3) disseminate the environmental datasets and public health linkage analyses to end users for decision-making through the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) system. This study directly addresses a public health focus of the NASA Applied Sciences Program, utilization of Earth Sciences products, by addressing issues of environmental health to enhance public health decision-making.

Automating Mission Scheduling for Space-Based Observatories

NASA Technical Reports Server (NTRS)

Pell, Barney; Muscettola, Nicola; Hansson, Othar; Mohan, Sunil

1998-01-01

In this paper we describe the use of our planning and scheduling framework, HSTS, to reduce the complexity of science mission planning. This work is part of an overall project to enable a small team of scientists to control the operations of a spacecraft. The present process is highly labor intensive. Users (scientists and operators) rely on a non-codified understanding of the different spacecraft subsystems and of their operating constraints. They use a variety of software tools to support their decision making process. This paper considers the types of decision making that need to be supported/automated, the nature of the domain constraints and the capabilities needed to address them successfully, and the nature of external software systems with which the core planning/scheduling engine needs to interact. HSTS has been applied to science scheduling for EUVE and Cassini and is being adapted to support autonomous spacecraft operations in the New Millennium initiative.

Environmental Public Health Applications Using Remotely Sensed Data

PubMed Central

Al-Hamdan, Mohammad Z.; Crosson, William L.; Economou, Sigrid A.; Estes, Maurice G.; Estes, Sue M.; Hemmings, Sarah N.; Kent, Shia T.; Puckett, Mark; Quattrochi, Dale A.; Rickman, Douglas L.; Wade, Gina M.; McClure, Leslie A.

2012-01-01

We describe a remote sensing and GIS-based study that has three objectives: (1) characterize fine particulate matter (PM2.5), insolation and land surface temperature using NASA satellite observations, EPA ground-level monitor data and North American Land Data Assimilation System (NLDAS) data products on a national scale; (2) link these data with public health data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) national cohort study to determine whether these environmental risk factors are related to cognitive decline, stroke and other health outcomes; and (3) disseminate the environmental datasets and public health linkage analyses to end users for decision-making through the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) system. This study directly addresses a public health focus of the NASA Applied Sciences Program, utilization of Earth Sciences products, by addressing issues of environmental health to enhance public health decision-making. PMID:24910505

Data-Based Decision Making in Education: Challenges and Opportunities

ERIC Educational Resources Information Center

Schildkamp, Kim, Ed.; Lai, Mei Kuin, Ed.; Earl, Lorna, Ed.

2013-01-01

In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of…

A Proposed Theoretical Model Using the Work of Thomas Kuhn, David Ausubel, and Mauritz Johnson as a Basis for Curriculum and Instruction Decisions in Science Education.

ERIC Educational Resources Information Center

Bowen, Barbara Lynn

This study presents a holistic framework which can be used as a basis for decision-making at various points in the curriculum-instruction development process as described by Johnson in a work published in 1967. The proposed framework has conceptual bases in the work of Thomas S. Kuhn and David P. Ausubel and utilizes the work of several perceptual…

The Value of Civic Science Literacy (Invited)

NASA Astrophysics Data System (ADS)

Kahan, D.

2013-12-01

The persistence of public conflict over climate change is commonly understood to be evidence of the cost borne by our democracy by the failure of citizens to recognize the best available decision-relevant science. This conclusion is true; what's not is the usual understanding of cause and effect that accompanies this perspective. Ordinarily, the inability of citizens to comprehend decision-relevant science is identified as the source of persistent political conflict over climate change (along myriad other issues that feature disputed facts that admit of scientific investigation). The truth, however, is it is the persistence of public conflict that disables citizens from recognizing and making effective use of decision-relevant science. As a result, efforts to promote civic science literacy can't be expected to dissipate such conflict. Instead, the root, cultural and psychological sources of such conflict must themselves be extinguished (with the use of tools and strategies themselves identified through valid scientific inquiry) so our democracy can realize the value of educators' considerable skills in making citizens science literate.

The role of risk-based prioritization in total quality management

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

Bennett, C.T.

1994-10-01

The climate in which government managers must make decisions grows more complex and uncertain. All stakeholders - the public, industry, and Congress - are demanding greater consciousness, responsibility, and accountability of programs and their budgets. Yet, managerial decisions have become multifaceted, involve greater risk, and operate over much longer time periods. Over the last four or five decades, as policy analysis and decisions became more complex, scientists from psychology, operations research, systems science, and economics have developed a more or less coherent process called decision analysis to aid program management. The process of decision analysis - a systems theoretic approachmore » - provides the backdrop for this paper. The Laboratory Integrated Prioritization System (LIPS) has been developed as a systems analytic and risk-based prioritization tool to aid the management of the Tri-Labs` (Lawrence Livermore, Los Alamos, and Sandia) operating resources. Preliminary analyses of the effects of LIPS has confirmed the practical benefits of decision and systems sciences - the systematic, quantitative reduction in uncertainty. To date, the use of LIPS - and, hence, its value - has been restricted to resource allocation within the Tri-Labs` operations budgets. This report extends the role of risk-based prioritization to the support of DOE Total Quality Management (TQM) programs. Furthermore, this paper will argue for the requirement to institutionalize an evolutionary, decision theoretic approach to the policy analysis of the Department of Energy`s Program Budget.« less

Robust Decision Making for Improved Mission Assurance

DTIC Science & Technology

2014-06-01

Technology Team (STT) proposed and was approved to receive funding for a set of four research projects advancing foundational decision science and... technology over a three year period of performance. At the time it was approved, the initiative involved 27 collaborating scientists and engineers from five...Appendix E. Sensors Directorate Technologies for Robust Decision Making for Improved Mission Assurance

Can't Get No (Dis)satisfaction: The "Statecraft" Simulation's Effect on Student Decision Making

ERIC Educational Resources Information Center

Raymond, Chad

2014-01-01

Simulations are often employed as content-teaching tools in political science, but their effect on students' reasoning skills is rarely assessed. This article explores what effect the "Statecraft" simulation might have on undergraduate students' perceptions of their decision making. Decisions are often evaluated on the basis of…

Decision-Making Under Risk: Integrating Perspectives From Biology, Economics, and Psychology.

PubMed

Mishra, Sandeep

2014-08-01

Decision-making under risk has been variably characterized and examined in many different disciplines. However, interdisciplinary integration has not been forthcoming. Classic theories of decision-making have not been amply revised in light of greater empirical data on actual patterns of decision-making behavior. Furthermore, the meta-theoretical framework of evolution by natural selection has been largely ignored in theories of decision-making under risk in the human behavioral sciences. In this review, I critically examine four of the most influential theories of decision-making from economics, psychology, and biology: expected utility theory, prospect theory, risk-sensitivity theory, and heuristic approaches. I focus especially on risk-sensitivity theory, which offers a framework for understanding decision-making under risk that explicitly involves evolutionary considerations. I also review robust empirical evidence for individual differences and environmental/situational factors that predict actual risky decision-making that any general theory must account for. Finally, I offer steps toward integrating various theoretical perspectives and empirical findings on risky decision-making. © 2014 by the Society for Personality and Social Psychology, Inc.

Linking science, public values, and decision-making: Case study development for public deliberations about climate change resilience

NASA Astrophysics Data System (ADS)

Weller, N.; Bennett, I.; Bernstein, M.; Farooque, M.; Lloyd, J.; Lowenthal, C.; Sittenfeld, D.

2016-12-01

Actionable science seeks to align scientific inquiry with decision-making priorities to overcome rifts between scientific knowledge and the needs of decision makers. Combining actionable science with explorations of public values and priorities creates useful support for decision makers facing uncertainty, tradeoffs, and limited resources. As part of a broader project to create public forums about climate change resilience, we convened workshops with decision makers, resilience experts, and community stakeholders to discuss climate change resilience. Our goals were 1) to create case studies of resilience strategies for use in public deliberations at science museums across 8 U.S. cities; and 2) to build relationships with decision makers and stakeholders interested in these public deliberations. Prior to workshops, we created summaries of resilience strategies using academic literature, government assessments, municipal resilience plans, and conversations with workshop participants. Workshops began with example deliberation activities followed by semi-structured discussions of resilience strategies centered on 4 questions: 1) What are the key decisions to be made regarding each strategy? 2) What stakeholders and perspectives are relevant to each strategy? 3) What available data are relevant to each strategy? 4) What visualizations or other resources are useful for communicating things about each strategy? Workshops yielded actionable dialogue regarding issues of justice, feasibility, and the socio-ecological-technical systems impacted by climate change hazards and resilience strategies. For example, discussions of drought revealed systemic and individual-level challenges and opportunities; discussions of sea level rise included ways to account for the cultural significance of many coastal communities. The workshops provide a model for identifying decision-making priorities and tradeoffs and building partnerships among stakeholders, scientists, and decision makers.

ORES - Objective Referenced Evaluation in Science.

ERIC Educational Resources Information Center

Shaw, Terry

Science process skills considered important in making decisions and solving problems include: observing, classifying, measuring, using numbers, using space/time relationships, communicating, predicting, inferring, manipulating variables, making operational definitions, forming hypotheses, interpreting data, and experimenting. This 60-item test,…

ESD practice through global approach -7-year practices of developing science lessen modules and fostering integrated decision making ability-

NASA Astrophysics Data System (ADS)

Kajiyama, Kosei

2016-04-01

Hiroshima University High School (HUHS) has devised and carried out overseas exchange programs on ESD issues for 7 years. These programs have been carried out as a part of a government-aided project called SSH (Super Science High School) *1. To start with, we had cooperative study program with a school in Germany in 2009, and next year with a school in Korea, and then gradually have expanded the cooperative schools. Since 2013, we have worked with schools in four countries; Korea, Thailand, Czech and Germany. Science lesson modules here refers to an assembly of a set of lessons, newly developed and improved for the project. These modules characteristically require the students to make decisions by themselves on given problems. In the course of the decision making, students learn what kind of data or facts should be presented as evidence and how they can make their decisions known to others. Among several modules we have designed, the one introduced here deals with the use of solar energy, which we carried out with a school in Korea in 2014-2015. It also includes lessons of the fuel cells using energy from hydrogen gas generated by solar cells. It aims to develop global human resources through carefully planned activities. First, the students of both schools make mixed groups and conduct experiments in physics, chemistry or biology on a given problem related to solar energy. Then they discuss in groups using data obtained from the experiments and through the Internet as evidence. After the thorough discussion, each group gives a presentation on their decision. The analysis of the presentations and the questionnaire to the students revealed the following points: 1) Students have come to have multidimensional perspectives on the utilization of solar energy. 2) Students have come to combine the results of different experiments when making decisions. 3) Students have developed flexible attitudes toward other cultures. 4) Students have developed communication skills in English. *1 SSH: Since 2002, the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) have designated schools that focus their education on science and math as Super Science High Schools and our school has been designated as one of SSH schools since 2003

Policy for Robust Space-based Earth Science, Technology and Applications

NASA Technical Reports Server (NTRS)

Brown, Molly E.; Escobar, Vanessa M.; Macauley, Molly; Aschbacher, Josef; Milagro-Perez, Maria Pilar; Doorn, Bradley; Friedl, Lawrence

2012-01-01

Over the past six decades, satellite remote sensing technology has contributed to the transformation of using earth science not only to advance science, but to improve quality of life. With satellite missions launched almost every year, new types of earth science data are being incorporated into science, models and decision-making systems in a broad array of organizations. A challenge for space agencies has been ensuring that satellite missions serve both the scientific community and the applied community of decision makers without the missions becoming unfocused and overly expensive. By understanding and considering the needs of the environmental data and applied research user community early on in the mission-design process, agencies can ensure that satellites meet the needs of multiple constituencies. This paper describes the mission development process in the European Space Agency and the National Aeronautics and Space Administration and compares and contrasts the successes of and challenges faced by these agencies in balancing science and applications within their missions.

A method to harness global crowd-sourced data to understand travel behavior in avalanche terrain.

NASA Astrophysics Data System (ADS)

Hendrikx, J.; Johnson, J.

2015-12-01

To date, most studies of the human dimensions of decision making in avalanche terrain has focused on two areas - post-accident analysis using accident reports/interviews and, the development of tools as decision forcing aids. We present an alternate method using crowd-sourced citizen science, for understanding decision-making in avalanche terrain. Our project combines real-time GPS tracking via a smartphone application, with internet based surveys of winter backcountry users as a method to describe and quantify travel practices in concert with group decision-making dynamics, and demographic data of participants during excursions. Effectively, we use the recorded GPS track taken within the landscape as an expression of the decision making processes and terrain usage by the group. Preliminary data analysis shows that individual experience levels, gender, avalanche hazard, and group composition all influence the ways in which people travel in avalanche terrain. Our results provide the first analysis of coupled real-time GPS tracking of the crowd while moving in avalanche terrain combined with psychographic and demographic correlates. This research will lead to an improved understanding of real-time decision making in avalanche terrain. In this paper we will specifically focus on the presentation of the methods used to solicit, and then harness the crowd to obtain data in a unique and innovative application of citizen science where the movements within the terrain are the desired output data (Figure 1). Figure 1: Example GPS tracks sourced from backcountry winter users in the Teton Pass area (Wyoming), from the 2014-15 winter season, where tracks in red represent those recorded as self-assessed experts (as per our survey), and where tracks in blue represent those recorded as self-assessed intermediates. All tracks shown were obtained under similar avalanche conditions. Statistical analysis of terrain metrics showed that the experts used steeper terrain than the intermediate users under similar avalanche conditions, demonstrating different terrain choice and use as a function of experience rather than hazard level.

Exploring the Functioning of Decision Space: A Review of the Available Health Systems Literature.

PubMed

Roman, Tamlyn Eslie; Cleary, Susan; McIntyre, Diane

2017-02-27

The concept of decision space holds appeal as an approach to disaggregating the elements that may influence decision-making in decentralized systems. This narrative review aims to explore the functioning of decision space and the factors that influence decision space. A narrative review of the literature was conducted with searches of online databases and academic journals including PubMed Central, Emerald, Wiley, Science Direct, JSTOR, and Sage. The articles were included in the review based on the criteria that they provided insight into the functioning of decision space either through the explicit application of or reference to decision space, or implicitly through discussion of decision-making related to organizational capacity or accountability mechanisms. The articles included in the review encompass literature related to decentralisation, management and decision space. The majority of the studies utilise qualitative methodologies to assess accountability mechanisms, organisational capacities such as finance, human resources and management, and the extent of decision space. Of the 138 articles retrieved, 76 articles were included in the final review. The literature supports Bossert's conceptualization of decision space as being related to organizational capacities and accountability mechanisms. These functions influence the decision space available within decentralized systems. The exact relationship between decision space and financial and human resource capacities needs to be explored in greater detail to determine the potential influence on system functioning. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Teaching children the structure of science

NASA Astrophysics Data System (ADS)

Börner, Katy; Palmer, Fileve; Davis, Julie M.; Hardy, Elisha; Uzzo, Stephen M.; Hook, Bryan J.

2009-01-01

Maps of the world are common in classroom settings. They are used to teach the juxtaposition of natural and political functions, mineral resources, political, cultural and geographical boundaries; occurrences of processes such as tectonic drift; spreading of epidemics; and weather forecasts, among others. Recent work in scientometrics aims to create a map of science encompassing our collective scholarly knowledge. Maps of science can be used to see disciplinary boundaries; the origin of ideas, expertise, techniques, or tools; the birth, evolution, merging, splitting, and death of scientific disciplines; the spreading of ideas and technology; emerging research frontiers and bursts of activity; etc. Just like the first maps of our planet, the first maps of science are neither perfect nor correct. Today's science maps are predominantly generated based on English scholarly data: Techniques and procedures to achieve local and global accuracy of these maps are still being refined, and a visual language to communicate something as abstract and complex as science is still being developed. Yet, the maps are successfully used by institutions or individuals who can afford them to guide science policy decision making, economic decision making, or as visual interfaces to digital libraries. This paper presents the process and results of creating hands-on science maps for kids that teaches children ages 4-14 about the structure of scientific disciplines. The maps were tested in both formal and informal science education environments. The results show that children can easily transfer their (world) map and concept map reading skills to utilize maps of science in interesting ways.

Application of construal level and value-belief norm theories to undergraduate decision-making on a wildlife socio-scientific issue

NASA Astrophysics Data System (ADS)

Sutter, A. McKinzie; Dauer, Jenny M.; Forbes, Cory T.

2018-06-01

One aim of science education is to develop scientific literacy for decision-making in daily life. Socio-scientific issues (SSI) and structured decision-making frameworks can help students reach these objectives. This research uses value belief norm (VBN) theory and construal level theory (CLT) to explore students' use of personal values in their decision-making processes and the relationship between abstract and concrete problematization and their decision-making. Using mixed methods, we conclude that the level of abstraction with which students problematise a prairie dog agricultural production and ecosystem preservation issue has a significant relationship to the values students used in the decision-making process. However, neither abstraction of the problem statement nor students' surveyed value orientations were significantly related to students' final decisions. These results may help inform teachers' understanding of students and their use of a structured-decision making tool in a classroom, and aid researchers in understanding if these tools help students remain objective in their analyses of complex SSIs.

Clarity versus complexity: land-use modeling as a practical tool for decision-makers

USGS Publications Warehouse

Sohl, Terry L.; Claggett, Peter

2013-01-01

The last decade has seen a remarkable increase in the number of modeling tools available to examine future land-use and land-cover (LULC) change. Integrated modeling frameworks, agent-based models, cellular automata approaches, and other modeling techniques have substantially improved the representation of complex LULC systems, with each method using a different strategy to address complexity. However, despite the development of new and better modeling tools, the use of these tools is limited for actual planning, decision-making, or policy-making purposes. LULC modelers have become very adept at creating tools for modeling LULC change, but complicated models and lack of transparency limit their utility for decision-makers. The complicated nature of many LULC models also makes it impractical or even impossible to perform a rigorous analysis of modeling uncertainty. This paper provides a review of land-cover modeling approaches and the issues causes by the complicated nature of models, and provides suggestions to facilitate the increased use of LULC models by decision-makers and other stakeholders. The utility of LULC models themselves can be improved by 1) providing model code and documentation, 2) through the use of scenario frameworks to frame overall uncertainties, 3) improving methods for generalizing key LULC processes most important to stakeholders, and 4) adopting more rigorous standards for validating models and quantifying uncertainty. Communication with decision-makers and other stakeholders can be improved by increasing stakeholder participation in all stages of the modeling process, increasing the transparency of model structure and uncertainties, and developing user-friendly decision-support systems to bridge the link between LULC science and policy. By considering these options, LULC science will be better positioned to support decision-makers and increase real-world application of LULC modeling results.

The morality of socioscientific issues: Construal and resolution of genetic engineering dilemmas

NASA Astrophysics Data System (ADS)

Sadler, Troy D.; Zeidler, Dana L.

2004-01-01

The ability to negotiate and resolve socioscientific issues has been posited as integral components of scientific literacy. Although philosophers and science educators have argued that socioscientific issues inherently involve moral and ethical considerations, the ultimate arbiters of morality are individual decision-makers. This study explored the extent to which college students construe genetic engineering issues as moral problems. Twenty college students participated in interviews designed to elicit their ideas, reactions, and feelings regarding a series of gene therapy and cloning scenarios. Qualitative analyses revealed that moral considerations were significant influences on decision-making, indicating a tendency for students to construe genetic engineering issues as moral problems. Students engaged in moral reasoning based on utilitarian analyses of consequences as well as the application of principles. Issue construal was also influenced by affective features such as emotion and intuition. In addition to moral considerations, a series of other factors emerged as important dimensions of socioscientific decision-making. These factors included personal experiences, family biases, background knowledge, and the impact of popular culture. The implications for classroom science instruction and future research are discussed.

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

PubMed

Yetley, Elizabeth A

2007-01-01

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

Why do girls persist in science? A qualitative study of the decision-making processes of pre-adolescent and adolescent girls

NASA Astrophysics Data System (ADS)

James, Holly Mcdonnell

2002-09-01

Girls are often found to drop out of science in greater numbers and sooner than boys. Because previous research has focused on gender differences, rather than examining differences and similarities among girls, little is known about why some girls choose to pursue science, particularly the physical sciences, rather than drop it. Specifically, little is known about how and why girls make their decisions to persist or not in specific science careers and the courses leading up to them. Through the use of semi-structured, in-depth, qualitative, interviews conducted over the span of a year, this thesis explored the choice of classes and career decisions of twelve elementary through high school girls who participated in an engineering camp. The purpose was to gain an understanding of why these girls chose to persist or not in a science and engineering career over time. Age-related differences were found in the reasons the girls gave for wanting to take future classes. The elementary school girls believed that interest would be their only reason while the high school girls gave multiple reasons, including interest, utility, perceptions of ability, and who would be teaching the class. The implications of these findings for Eccles' model of academic choice are discussed. Overall, the girls in this study liked their science classes because they involved hands-on activities. By high school they showed a preference for and a greater knowledge of biology rather than physics. All of the girls were unsure about what kinds of science information they would need to know for future jobs. Half of the girls were considering biology-based careers, such as doctors and veterinarians, because they wanted to help and take care of people and animals. Only one girl was considering engineering, a physics-based career, and only because her parents required it. Despite believing that they were doing well in school in general, at least half of the girls believed they were doing poorly in math because they found the concepts difficult to understand. The implications of these findings for promoting all girls' interest in the sciences, and particularly the physical sciences, are discussed.

Oh, Garbage! Decisions about Waste Disposal. Creative Role-Playing Exercises in Science and Technology Series.

ERIC Educational Resources Information Center

Parisi, Lynn; Pearson, Janice

This document is one of a series of role plays that focus on science-related social issues of concern in contemporary public policy formation. The role plays are designed to help students develop information-processing and decision making skills needed to deal effectively with such issues. The role plays guide students in analyzing science related…

Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies

USGS Publications Warehouse

Cooley, Sarah R.; Jewett, Elizabeth B.; Reichert, Julie; Robbins, Lisa L.; Shrestha, Gyami; Wieczorek, Dan; Weisberg, Stephen B.

2015-01-01

Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.

Can we really make a difference? Exploring pre-service teachers' experience with socio-scientific issues aiming for democratic participation in science

NASA Astrophysics Data System (ADS)

Cook, Kristin Leigh

Responding to calls for an empirical glimpse into a socioscientific issues (SSI)-based curriculum that aims to promote democratic participation, enhance students' connections to science, and empower students for the betterment of society (Dos Santos, 2008; Sadler, Barab, & Scott, 2007; Tal & Kedmi, 2006; Fusco & Barton, 2001; Hodson, 2003), this critical case study of 24 pre-service teachers (PSTs) enrolled in a scientific inquiry course offers curricular suggestions to empower learners to connect with the dynamic and socially-mediated process of science. In effect, incorporating nature of science-focused and place-based inquiry into a collaboration between PSTs and scientists were essential elements in enhancing students' connections to and feelings of inclusion in SSI. Propelled beyond a deficit model of public participation in science, the PSTs did indeed experience a public debate model and in some cases a knowledge production model in their collaborative efforts with scientists (Callon, 1999; Pouliot, 2009). While all of the PSTs engaged in rich discussion of their perspectives with scientists to enhance the investigation of their inquiry, some experienced a redistribution of the roles of participation in the production of scientific knowledge that was integrated into the scientists' decision-making processes. The materialization of these models depended on the structures of the student-scientists collaboration and the ways in which these malleable structures were flexed and negotiated. In effect, this study contributes to the literature on the potentials of SSI by providing an example of an educational approach that engages learners in a community practice as active participants in decision-making processes regarding socio-scientific issues, as well as focuses on empowering learners to be involved in the generation of scientific knowledge that contributes to their community.

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

NASA Astrophysics Data System (ADS)

Thompson, S. E.; Sivapalan, M.; Harman, C. J.; Srinivasan, V.; Hipsey, M. R.; Reed, P.; Montanari, A.; Blöschl, G.

2013-12-01

Globally, many different kinds of water resources management issues call for policy- and infrastructure-based responses. Yet responsible decision-making about water resources management raises a fundamental challenge for hydrologists: making predictions about water resources on decadal- to century-long timescales. Obtaining insight into hydrologic futures over 100 yr timescales forces researchers to address internal and exogenous changes in the properties of hydrologic systems. To do this, new hydrologic research must identify, describe and model feedbacks between water and other changing, coupled environmental subsystems. These models must be constrained to yield useful insights, despite the many likely sources of uncertainty in their predictions. Chief among these uncertainties are the impacts of the increasing role of human intervention in the global water cycle - a defining challenge for hydrology in the Anthropocene. Here we present a research agenda that proposes a suite of strategies to address these challenges from the perspectives of hydrologic science research. The research agenda focuses on the development of co-evolutionary hydrologic modeling to explore coupling across systems, and to address the implications of this coupling on the long-time behavior of the coupled systems. Three research directions support the development of these models: hydrologic reconstruction, comparative hydrology and model-data learning. These strategies focus on understanding hydrologic processes and feedbacks over long timescales, across many locations, and through strategic coupling of observational and model data in specific systems. We highlight the value of use-inspired and team-based science that is motivated by real-world hydrologic problems but targets improvements in fundamental understanding to support decision-making and management. Fully realizing the potential of this approach will ultimately require detailed integration of social science and physical science understanding of water systems, and is a priority for the developing field of sociohydrology.

Empirically derived guidance for social scientists to influence environmental policy

PubMed Central

Brown, Katrina; Crissman, Charles; De Young, Cassandra; Gooch, Margaret; James, Craig; Jessen, Sabine; Johnson, Dave; Marshall, Paul; Wachenfeld, Dave; Wrigley, Damian

2017-01-01

Failure to stem trends of ecological disruption and associated loss of ecosystem services worldwide is partly due to the inadequate integration of the human dimension into environmental decision-making. Decision-makers need knowledge of the human dimension of resource systems and of the social consequences of decision-making if environmental management is to be effective and adaptive. Social scientists have a central role to play, but little guidance exists to help them influence decision-making processes. We distil 348 years of cumulative experience shared by 31 environmental experts across three continents into advice for social scientists seeking to increase their influence in the environmental policy arena. Results focus on the importance of process, engagement, empathy and acumen and reveal the importance of understanding and actively participating in policy processes through co-producing knowledge and building trust. The insights gained during this research might empower a science-driven cultural change in science-policy relations for the routine integration of the human dimension in environmental decision making; ultimately for an improved outlook for earth’s ecosystems and the billions of people that depend on them. PMID:28278238

Watermark: An Application and Methodology and Application for Interactive and intelligent Decision Support for Groundwater Systems

NASA Astrophysics Data System (ADS)

Pierce, S. A.; Wagner, K.; Schwartz, S.; Gentle, J. N., Jr.

2016-12-01

Critical water resources face the effects of historic drought, increased demand, and potential contamination, the need has never been greater to develop resources to effectively communicate conservation and protection across a broad audience and geographical area. The Watermark application and macro-analysis methodology merges topical analysis of context rich corpus from policy texts with multi-attributed solution sets from integrated models of water resource and other subsystems, such as mineral, food, energy, or environmental systems to construct a scalable, robust, and reproducible approach for identifying links between policy and science knowledge bases. The Watermark application is an open-source, interactive workspace to support science-based visualization and decision making. Designed with generalization in mind, Watermark is a flexible platform that allows for data analysis and inclusion of large datasets with an interactive front-end capable of connecting with other applications as well as advanced computing resources. In addition, the Watermark analysis methodology offers functionality that streamlines communication with non-technical users for policy, education, or engagement with groups around scientific topics of societal relevance. The technology stack for Watermark was selected with the goal of creating a robust and dynamic modular codebase that can be adjusted to fit many use cases and scale to support usage loads that range between simple data display to complex scientific simulation-based modelling and analytics. The methodology uses to topical analysis and simulation-optimization to systematically analyze the policy and management realities of resource systems and explicitly connect the social and problem contexts with science-based and engineering knowledge from models. A case example demonstrates use in a complex groundwater resources management study highlighting multi-criteria spatial decision making and uncertainty comparisons.

Getting Beyond First Base: Science-Society Communication for Climate Adaptation

NASA Astrophysics Data System (ADS)

Garfin, G. M.

2010-12-01

At a 2009 international workshop on transboundary climate and water issues, a former World Bank official and current academic mentioned that “crisis, risk and uncertainty” are the three words that motivate decision-makers to act. However, decade-scale climate variability and trend-driven climate changes are phenomena characterized by creeping onset, diffuse and non-synchronous impacts, and complexity. Thus, there is a balancing act to addressing the complexity of uncertainties, while adequately assessing risk, and keeping the potential for crisis in focus without creating a “Chicken Little” situation. This presentation examines translational science approaches to three stages in the continuum from initial communication to societal action: raising awareness, building capacity, and making progress toward action. We examine the roles of scientists, knowledge brokers, decision makers, and the general public in the context of climate services. Although there is no “one size fits all” science communication method, we argue that best practices require that scientists pay particular attention to cultural and political sensitivities associated with decision contexts. We give examples from seasonal forecast communication, drought planning, climate literacy and education needs assessments, and the nexus of climate adaptation planning and uncertainty. In general, we find that constructive approaches make use of alliances with early adopters and opinion leaders, and make strong links between (a) predictions, impacts and solutions and (b) global to regional to local spatial scales. Often building partnerships for moving science information from observations to knowledge to decisions requires discussion support, a concept borrowed from Australian colleagues, which describes a multi-faceted and undervalued aspect of moving forward in adaptation planning: clarifying plausible cascades of interactions leading to potential impacts. Discussion support also fosters examination of how others confronting similar issues have both adapted well-known management strategies and developed outside-the-box ideas to move beyond “uncertainty paralysis.” Some preliminary conclusions from our work include the following: (a) iterative and ongoing engagements are necessary to build trust and bolster science credibility; (b) uncertainty, formerly a topic to avoided, forms the foundation for constructive progress in adaptation planning and improving forecast use, and (c) candid exploration of the array of uncertainties, which includes those due to modeling, institutional, policy and economic factors - with decision-making peers, science translators, and subject experts, is needed to stimulate constructive thinking on adaptation strategies. For scientists, gaining insight into how decisions are made is the most important part of scientist-stakeholder interactions. For managers, the most important factors are holistic, cross-sectoral, examination of both climate and non-climate factors affecting resources, and the diversity of public values regarding resource management.

Précis of Simple heuristics that make us smart.

PubMed

Todd, P M; Gigerenzer, G

2000-10-01

How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we explore fast and frugal heuristics--simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources. These heuristics can enable both living organisms and artificial systems to make smart choices quickly and with a minimum of information by exploiting the way that information is structured in particular environments. In this précis, we show how simple building blocks that control information search, stop search, and make decisions can be put together to form classes of heuristics, including: ignorance-based and one-reason decision making for choice, elimination models for categorization, and satisficing heuristics for sequential search. These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data--that is, simplicity leads to robustness. We present evidence regarding when people use simple heuristics and describe the challenges to be addressed by this research program.

Making science high impact to inform decision-making: Using boundary objects for aquatic research

EPA Science Inventory

The St. Louis River represents a complex natural resource management problem. Current ecosystem management decisions must address extensive sediment remediation and habitat restoration goals for the lower river and associated port, as well as recreational users who value differen...

Is treatment of feline hypertrophic cardiomyopathy based in science or faith? A survey of cardiologists and a literature search.

PubMed

Rishniw, Mark; Pion, Paul D

2011-07-01

Feline hypertrophic cardiomyopathy (HCM) is the most common cardiac disease of cats. Treatment of HCM is usually directed at controlling signs of congestive heart failure (CHF), preventing occurrence or recurrence of systemic thromboembolism or delaying/preventing/reversing progression of subclinical disease. Despite the laudable goals of therapy, however, little objective evidence supporting therapeutic decisions has been published. We, therefore, hypothesized that cardiologists base their treatment strategies on information other than published clinically relevant science. To gain insight into therapeutic decisions that cardiologists and clinicians with an interest in cardiology (n=99) make for cats with HCM, and on what information they base these decisions, we presented participants with, and asked them to select therapy for, 12 hypothetical scenarios of HCM (± CHF). Responses and justifications for treatment choices were compiled and compared with the results of a comprehensive literature search for published information about treatment of feline HCM. Evaluation of the therapeutic strategies chosen for these hypothetical cases of HCM suggests that cardiologists or clinicians with a strong interest in cardiology often prescribe treatments knowing that little documented evidence supports their decisions. Copyright © 2011 ISFM and AAFP. Published by Elsevier Ltd. All rights reserved.

How organizational context affects bioethical decision-making: pharmacists' management of gatekeeping processes in retail and hospital settings.

PubMed

Chiarello, Elizabeth

2013-12-01

Social science studies of bioethics demonstrate that ethics are highly contextual, functioning differently across local settings as actors make daily decisions "on the ground." Sociological studies that demonstrate the key role organizations play in shaping ethical decision-making have disproportionately focused on physicians and nurses working in hospital settings where they contend with life and death issues. This study broadens our understanding of the contexts of ethical decision-making by empirically examining understudied healthcare professionals - pharmacists - working in two organizational settings, retail and hospital, where they act as gatekeepers to regulated goods and services as they contend with ethical issues ranging from the serious to the mundane. This study asks: How do organizations shape pharmacists' identification, negotiation, and resolution of ethical challenges; in other words, how do organizations shape pharmacists' gatekeeping processes? Based on 95 semi-structured interviews with U.S. pharmacists practicing in retail and hospital pharmacies conducted between September 2009 and May 2011, this research finds that organizations influence ethical decision-making by shaping how pharmacists construct four gatekeeping processes: medical, legal, fiscal, and moral. Each gatekeeping process manifests differently across organizations due to how these settings structure inter-professional power dynamics, proximity to patients, and means of accessing information. Findings suggest new directions for theorizing about ethical decision-making in medical contexts by drawing attention to new ethical actors, new organizational settings, an expanded definition of ethical challenges, and a broader conceptualization of gatekeeping. Copyright © 2012 Elsevier Ltd. All rights reserved.

Enabling and Encouraging Transparency in Earth Science Data for Decision Making

NASA Astrophysics Data System (ADS)

Abbott, S. B.

2010-12-01

Our ability to understand, respond, and make decisions about our changing planet hinges on timely scientific information and situational awareness. Information and understanding will continue to be the foundations of decision support in the face of uncertainty. Over the last 40 years, investments in Earth observations have brought remarkable achievements in weather prediction, disaster prediction and response, land management, and our broad base of Earth science knowledge. The only way to know what is happening to our planet and to manage our resources wisely is to measure it, This means tracking changes decade after decade and reanalyzing the record in light of new insights, technologies, and methodologies. In order to understand and respond to climate change and other global challenges, there is a need for a high degree of transparency in the publication, management, traceability, and citability of science data, and particularly for Earth science data. In addition, it is becoming increasingly important that free, open, and authoritative sources of quality data are available for peer review. One important focus is on applications and opportunities for enhancing data exchange standards for use with Earth science data. By increasing the transparency of scientific work and providing incentives for researchers and institutions to openly share data, we will more effectively leverage the scientific capacity of our Nation to address climate change and to meet future challenges. It is an enormous challenge to collect, organize, and communicate the vast stores of data maintained across the government. The Administration is committed to moving past these barriers in providing the American public with unprecedented access to useful government data, including an open architecture and making data available in multiple formats. The goal is to enable better decision-making, drive transparency, and to help power innovation for a stronger America. Whether for a research project, developing a new application, or evaluating a business opportunity, data access is essential. This talk will examine the need for improving access environmental data records derived from satellite and in situ observations and the Administration’s policies and efforts toward releasing data, establishing standards, maintaining transparency, and disseminating information for decision making. There are key questions to be answered in order to improve collection, storage, and dissemination of government data over time: How should agencies contribute data sets? Should agencies inventory and prioritize all their data? Or set a fixed number of data sets that must be published each year? Or set a voluntary target? Finally, what types of applications should be built to leverage all this data? How do we make these applications compelling and useful to businesses, government, and the American people?

An Integrated Model of Decision-Making in Health Contexts: The Role of Science Education in Health Education

ERIC Educational Resources Information Center

Arnold, Julia C.

2018-01-01

Health education is to foster health literacy, informed decision-making and to promote health behaviour. To date, there are several models that seek to explain health behaviour (e.g. the Theory of Planned Behaviour or the Health Belief Model). These models include motivational factors (expectancies and values) that play a role in decision-making…

Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

PubMed Central

Carlson, Jean M.; Alderson, David L.; Stromberg, Sean P.; Bassett, Danielle S.; Craparo, Emily M.; Guiterrez-Villarreal, Francisco; Otani, Thomas

2014-01-01

Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies. PMID:24520331

Analysing and exemplifying forensic conclusion criteria in terms of Bayesian decision theory.

PubMed

Biedermann, A; Bozza, S; Taroni, F

2018-03-01

There is ongoing discussion in forensic science and the law about the nature of the conclusions reached based on scientific evidence, and on how such conclusions - and conclusion criteria - may be justified by rational argument. Examples, among others, are encountered in fields such as fingermarks (e.g., 'this fingermark comes from Mr. A's left thumb'), handwriting examinations (e.g., 'the questioned signature is that of Mr. A'), kinship analyses (e.g., 'Mr. A is the father of child C') or anthropology (e.g., 'these are human remains'). Considerable developments using formal methods of reasoning based on, for example (Bayesian) decision theory, are available in literature, but currently such reference principles are not explicitly used in operational forensic reporting and ensuing decision-making. Moreover, applied examples, illustrating the principles, are scarce. A potential consequence of this in practical proceedings, and hence a cause of concern, is that underlying ingredients of decision criteria (such as losses quantifying the undesirability of adverse decision consequences), are not properly dealt with. There is merit, thus, in pursuing the study and discussion of practical examples, demonstrating that formal decision-theoretic principles are not merely conceptual considerations. Actually, these principles can be shown to underpin practical decision-making procedures and existing legal decision criteria, though often not explicitly apparent as such. In this paper, we will present such examples and discuss their properties from a Bayesian decision-theoretic perspective. We will argue that these are essential concepts for an informed discourse on decision-making across forensic disciplines and the development of a coherent view on this topic. We will also emphasize that these principles are of normative nature in the sense that they provide standards against which actual judgment and decision-making may be compared. Most importantly, these standards are justified independently of peoples' observable decision behaviour, and of whether or not one endorses these formal methods of reasoning. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Experiencing new forms of genetic choice: findings from an ethnographic study of preimplantation genetic diagnosis.

PubMed

Roberts, Celia; Franklin, Sarah

2004-12-01

Contemporary scientific and clinical knowledges and practices continue to make available new forms of genetic information, and to create new forms of reproductive choice. For example, couples at high risk of passing on a serious genetic condition to their offspring in Britain today have the opportunity to use Preimplantation Genetic Diagnosis (PGD) to select embryos that are unaffected by serious genetic disease. This information assists these couples in making reproductive choices. This article presents an analysis of patients' experiences of making the decision to undertake PGD treatment and of making reproductive choices based on genetic information. We present qualitative interview data from an ethnographic study of PGD based in two British clinics which indicate how these new forms of genetic choice are experienced by patients. Our data suggest that PGD patients make decisions about treatment in a complex way, taking multiple variables into account, and maintaining ongoing assessments of the multiple costs of engaging with PGD. Patients are aware of broader implications of their decisions, at personal, familial, and societal levels, as well as clinical ones. Based on these findings we argue that the ethical and social aspects of PGD are often as innovative as the scientific and medical aspects of this technique, and that in this sense, science cannot be described as "racing ahead" of society.

Does STES-Oriented Science Education Promote 10th-Grade Students' Decision-Making Capability?

ERIC Educational Resources Information Center

Levy Nahum, Tami; Ben-Chaim, David; Azaiza, Ibtesam; Herskovitz, Orit; Zoller, Uri

2010-01-01

Today's society is continuously coping with sustainability-related complex issues in the Science-Technology-Environment-Society (STES) interfaces. In those contexts, the need and relevance of the development of students' higher-order cognitive skills (HOCS) such as question-asking, critical-thinking, problem-solving and decision-making…

Cognitive and learning sciences in biomedical and health instructional design: A review with lessons for biomedical informatics education.

PubMed

Patel, Vimla L; Yoskowitz, Nicole A; Arocha, Jose F; Shortliffe, Edward H

2009-02-01

Theoretical and methodological advances in the cognitive and learning sciences can greatly inform curriculum and instruction in biomedicine and also educational programs in biomedical informatics. It does so by addressing issues such as the processes related to comprehension of medical information, clinical problem-solving and decision-making, and the role of technology. This paper reviews these theories and methods from the cognitive and learning sciences and their role in addressing current and future needs in designing curricula, largely using illustrative examples drawn from medical education. The lessons of this past work are also applicable, however, to biomedical and health professional curricula in general, and to biomedical informatics training, in particular. We summarize empirical studies conducted over two decades on the role of memory, knowledge organization and reasoning as well as studies of problem-solving and decision-making in medical areas that inform curricular design. The results of this research contribute to the design of more informed curricula based on empirical findings about how people learn and think, and more specifically, how expertise is developed. Similarly, the study of practice can also help to shape theories of human performance, technology-based learning, and scientific and professional collaboration that extend beyond the domain of medicine. Just as biomedical science has revolutionized health care practice, research in the cognitive and learning sciences provides a scientific foundation for education in biomedicine, the health professions, and biomedical informatics.

Statistical hypothesis testing and common misinterpretations: Should we abandon p-value in forensic science applications?

PubMed

Taroni, F; Biedermann, A; Bozza, S

2016-02-01

Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Various schools of thought, in particular frequentist and Bayesian, have promoted radically different solutions for taking a decision about the plausibility of competing hypotheses. Comprehensive philosophical comparisons about their advantages and drawbacks are widely available and continue to span over large debates in the literature. More recently, controversial discussion was initiated by an editorial decision of a scientific journal [1] to refuse any paper submitted for publication containing null hypothesis testing procedures. Since the large majority of papers published in forensic journals propose the evaluation of statistical evidence based on the so called p-values, it is of interest to expose the discussion of this journal's decision within the forensic science community. This paper aims to provide forensic science researchers with a primer on the main concepts and their implications for making informed methodological choices. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

The Montreal Protocol treaty and its illuminating history of science-policy decision-making

NASA Astrophysics Data System (ADS)

Grady, C.

2017-12-01

The Montreal Protocol on Substances that Deplete the Ozone Layer, hailed as one of the most effective environmental treaties of all time, has a thirty year history of science-policy decision-making. The partnership between Parties to the Montreal Protocol and its technical assessment panels serve as a basis for understanding successes and evaluating stumbles of global environmental decision-making. Real-world environmental treaty negotiations can be highly time-sensitive, politically motivated, and resource constrained thus scientists and policymakers alike are often unable to confront the uncertainties associated with the multitude of choices. The science-policy relationship built within the framework of the Montreal Protocol has helped constrain uncertainty and inform policy decisions but has also highlighted the limitations of the use of scientific understanding in political decision-making. This talk will describe the evolution of the scientist-policymaker relationship over the history of the Montreal Protocol. Examples will illustrate how the Montreal Protocol's technical panels inform decisions of the country governments and will characterize different approaches pursued by different countries with a particular focus on the recently adopted Kigali Amendment. In addition, this talk will take a deeper dive with an analysis of the historic technical panel assessments on estimating financial resources necessary to enable compliance to the Montreal Protocol compared to the political financial decisions made through the Protocol's Multilateral Fund replenishment negotiation process. Finally, this talk will describe the useful lessons and challenges from these interactions and how they may be applicable in other environmental management frameworks across multiple scales under changing climatic conditions.

Judgment and decision making.

PubMed

Fischhoff, Baruch

2010-09-01

The study of judgment and decision making entails three interrelated forms of research: (1) normative analysis, identifying the best courses of action, given decision makers' values; (2) descriptive studies, examining actual behavior in terms comparable to the normative analyses; and (3) prescriptive interventions, helping individuals to make better choices, bridging the gap between the normative ideal and the descriptive reality. The research is grounded in analytical foundations shared by economics, psychology, philosophy, and management science. Those foundations provide a framework for accommodating affective and social factors that shape and complement the cognitive processes of decision making. The decision sciences have grown through applications requiring collaboration with subject matter experts, familiar with the substance of the choices and the opportunities for interventions. Over the past half century, the field has shifted its emphasis from predicting choices, which can be successful without theoretical insight, to understanding the processes shaping them. Those processes are often revealed through biases that suggest non-normative processes. The practical importance of these biases depends on the sensitivity of specific decisions and the support that individuals have in making them. As a result, the field offers no simple summary of individuals' competence as decision makers, but a suite of theories and methods suited to capturing these sensitivities. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.

Teaching socioscientific issues: classroom culture and students' performances

NASA Astrophysics Data System (ADS)

Tal, Tali; Kedmi, Yarden

2006-12-01

The "Treasures in the Sea: Use and Abuse" unit that deals with authentic socioscientific issues related to the Mediterranean was developed as part of a national effort to increase scientific literacy. The unit aimed to enhance active participation of the learners and encourage higher order thinking in class by applying teaching methods that reduce the unfamiliarity felt by students. This was expected through an explicit use of a variety of teaching and assessment-for-learning methods, suitable for Science for All students. Our main goal was to examine the culture of Science for All classes in which the unit was enacted. In order to address the main learning objectives, we monitored students' performances in tasks that required the higher order thinking skills of argumentation and value judgment, which are central constituents of decision-making processes. We show that while socioscientific issues were discussed in whole class and small group sessions, and students' argumentation improved, there is still a long way to go in applying a thinking culture in non-science major classes. We suggest that science teachers should shift from traditional content-based and value-free approach, to a sociocultural approach that views science as a community practice and the students as active participants in decision-making processes.

What factors hinder the decision-making process for women with cancer and contemplating fertility preservation treatment?

PubMed

Jones, Georgina; Hughes, Jane; Mahmoodi, Neda; Smith, Emily; Skull, Jonathan; Ledger, William

2017-07-01

Although fertility preservation (FP) treatment options have increased, the existing evidence suggests that many women with cancer do not feel well supported in making these decisions, but find them stressful and complex and fail to take up fertility care at this crucial time. Whilst existing reviews have all made important contributions to our understanding of the FP decision-making process, none of them examine solely and specifically these processes for women of reproductive age with a diagnosis of any cancer, leaving a gap in the knowledge base. Given the expectation that care is patient-centred, our review aims to address this gap which may be of help to those managing patients struggling to make difficult decisions in the often brief period before potentially sterilizing cancer treatment is started. Underpinning this narrative review was the question 'What factors hinder the decision-making process for women with any cancer and contemplating FP treatment?' Our objectives were to (i) assess and summarize this existing literature, (ii) identify the factors that hinder this decision-making process, (iii) explore to what extent these factors may differ for women choosing different methods of FP and (iv) make recommendations for service delivery and future research. A systematic search of the medical and social science literature from the 1 January 2005 up to the end of January 2016 was carried out using three electronic databases (Web of Science (PubMed), Ovid SP Medline and CINAHL via Ebsco). Included in the review were quantitative, qualitative and mixed-method studies. Reference lists of relevant papers were also hand searched. From the 983 papers identified, 46 papers were included. Quality assessment was undertaken using the Mixed Methods Appraisal Tool and thematic analysis was used to analyse the data. From the analysis, 6 key themes with 15 sub-themes emerged: (i) fertility information provision (lack of information, timing of the information, patient-provider communication); (ii) fear concerning the perceived risks associated with pursuing FP (delaying cancer treatment, aggravating a hormone positive cancer and consequences of a future pregnancy); (iii) non-referral from oncology (personal situation, having a hormone positive cancer, FP not a priority and transition between service issues); (iv) the dilemma (in survival mode, whether to prioritize one treatment over another); (v) personal situation (parity, relationship status) and (iv) costs (financial concerns). This review has found that a wide range of internal and external factors impact the FP decision-making process. Key external issues related to current service delivery such as the provision and timing of FP information, and lack of referral from oncology to the fertility clinic. However, internal issues such as women's fears concerning the perceived risks associated with pursuing FP also hindered decision-making but these 'risks' were typically overestimated and non-evidence based. These findings suggest that the implementation of a range of decision support interventions may be of benefit within the clinical care pathway of FP and cancer. Women would benefit from the provision of more evidence-based FP information, ideally received at cancer diagnosis, in advance of seeing a fertility specialist, for example through the implementation of patient decision aids. Healthcare professionals in both oncology and fertility services may also benefit from the implementation of training programmes and educational tools targeted at improving the communication skills needed to improve collaborative decision-making and deliver care that is patient-centred. Exploration of the current barriers, both intellectual and practical, that prevent some patients from accepting FP will help care providers to do better for their patients in the future. Finally, the extent to which a poorer prognosis and moral, ethical and religious beliefs influence the FP decision-making process also warrant further research. © The Author 2017. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Life-Cycle Assessment of a Distributed-Scale Thermochemical Bioenergy Conversion System

Treesearch

Hongmei Gu; Richard Bergman

2016-01-01

Expanding bioenergy production from woody biomass has the potential to decrease net greenhouse gas (GHG) emissions and improve the energy security of the United States. Science-based and internationally accepted life-cycle assessment (LCA) is an effective tool for policy makers to make scientifically informed decisions on expanding renewable energy production from...

NASSP Curriculum Report, Vol. 7, No. 1. Education for Citizenship.

ERIC Educational Resources Information Center

Larkin, Brian; Pannwitt, Barbara

This issue examines the trend of citizenship education in the public schools. Four basic approaches are described. The content approach is based on the belief that knowledge gained from certain courses will aid students in rational decision making and in being responsible citizens. It emphasizes law-related education, political science, and…

Patterns of Informal Reasoning in the Context of Socioscientific Decision-Making.

ERIC Educational Resources Information Center

Sadler, Troy D.; Zeidler, Dana L.

The purpose of this article is to contribute to a theoretical knowledge base through research by examining factors salient to science education reform and practice in the context of socioscientific issues. The study explores how individuals negotiate and resolve genetic engineering dilemmas. A mixed-methods approach was used to examine patterns of…

Patterns of Informal Reasoning in the Context of Socioscientific Decision Making

ERIC Educational Resources Information Center

Sadler, Troy D.; Zeidler, Dana L.

2005-01-01

The purpose of this study is to contribute to a theoretical knowledge base through research by examining factors salient to science education reform and practice in the context of socioscientific issues. The study explores how individuals negotiate and resolve genetic engineering dilemmas. A qualitative approach was used to examine patterns of…

Writing to Learn Ecology: A Study of Three Populations of College Students

ERIC Educational Resources Information Center

Balgopal, Meena M.; Wallace, Alison M.; Dahlberg, Steven

2012-01-01

Being an ecologically literate citizen involves making decisions that are based on ecological knowledge and accepting responsibility for personal actions. Using writing-to-learn activities in college science courses, we asked students to consider personal dilemmas that they or others might have in response to how human choices can impact coastal…

From Understanding to Deference: Laypersons' and Medical Students' Views on Conflicts within Medicine

ERIC Educational Resources Information Center

Bromme, Rainer; Thomm, Eva; Wolf, Veronika

2015-01-01

When making personally relevant decisions (e.g. on health-related issues), laypersons have to deal increasingly with science-based knowledge claims that are frequently not only inconsistent if not contradictory but also beyond their own everyday understanding. Nevertheless, they need to reason about these issues. The present interview study…

Regional services in a research context: USDA Climate Hubs in the USDA Agricultural Research Service

USDA-ARS?s Scientific Manuscript database

Ten USDA Climate Hubs were created in 2014 to develop and deliver science-based, region-specific information and technologies to better enable agricultural decision-making and management. Of these ten Hubs, half are administered by USDA’s Agricultural Research Service (ARS), an agency with historica...

Partnering Community Decision Makers with Early Career Scientists - The NASA DEVELOP Method for Dual Capacity Building

NASA Astrophysics Data System (ADS)

Ross, K. W.; Childs-Gleason, L. M.; Cripps, G. S.; Clayton, A.; Remillard, C.; Watkins, L. E.; Allsbrook, K. N.; Rogers, L.; Ruiz, M. L.

2017-12-01

The NASA DEVELOP National Program carries out many projects every year with the goal of bringing the benefits of NASA Earth science to bear on decision-making challenges that are local in scale. Every DEVELOP project partners end users with early/transitioning science professionals. Many of these projects invited communities to consider NASA science data in new ways to help them make informed decisions. All of these projects shared three characteristics: they were rapid, nimble and risk-taking. These projects work well for some communities, but might best be suited as a feasibility studies that build community/institutional capacity towards eventual solutions. This presentation will discuss DEVELOP's lessons learned and best practices in conducting short-term feasibility projects with communities, as well as highlight several past successes.

Bringing values and deliberation to science communication.

PubMed

Dietz, Thomas

2013-08-20

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

Technology Infusion Challenges from a Decision Support Perspective

NASA Technical Reports Server (NTRS)

Adumitroaie, V.; Weisbin, C. R.

2009-01-01

In a restricted science budget environment and increasingly numerous required technology developments, the technology investment decisions within NASA are objectively more and more difficult to make such that the end results are satisfying the technical objectives and all the organizational constraints. Under these conditions it is rationally desirable to build an investment portfolio, which has the highest possible technology infusion rate. Arguably the path to infusion is subject to many influencing factors, but here only the challenges associated with the very initial stages are addressed: defining the needs and the subsequent investment decision-support process. It is conceivable that decision consistency and possibly its quality suffer when the decision-making process has limited or no traceability. This paper presents a structured decision-support framework aiming to provide traceable, auditable, infusion- driven recommendations towards a selection process in which these recommendations are used as reference points in further discussions among stakeholders. In this framework addressing well-defined requirements, different measures of success can be defined based on traceability to specific selection criteria. As a direct result, even by using simplified decision models the likelihood of infusion can be probed and consequently improved.

Cognitive neuroscience in forensic science: understanding and utilizing the human element

PubMed Central

Dror, Itiel E.

2015-01-01

The human element plays a critical role in forensic science. It is not limited only to issues relating to forensic decision-making, such as bias, but also relates to most aspects of forensic work (some of which even take place before a crime is ever committed or long after the verification of the forensic conclusion). In this paper, I explicate many aspects of forensic work that involve the human element and therefore show the relevance (and potential contribution) of cognitive neuroscience to forensic science. The 10 aspects covered in this paper are proactive forensic science, selection during recruitment, training, crime scene investigation, forensic decision-making, verification and conflict resolution, reporting, the role of the forensic examiner, presentation in court and judicial decisions. As the forensic community is taking on the challenges introduced by the realization that the human element is critical for forensic work, new opportunities emerge that allow for considerable improvement and enhancement of the forensic science endeavour. PMID:26101281

Cognitive neuroscience in forensic science: understanding and utilizing the human element.

PubMed

Dror, Itiel E

2015-08-05

The human element plays a critical role in forensic science. It is not limited only to issues relating to forensic decision-making, such as bias, but also relates to most aspects of forensic work (some of which even take place before a crime is ever committed or long after the verification of the forensic conclusion). In this paper, I explicate many aspects of forensic work that involve the human element and therefore show the relevance (and potential contribution) of cognitive neuroscience to forensic science. The 10 aspects covered in this paper are proactive forensic science, selection during recruitment, training, crime scene investigation, forensic decision-making, verification and conflict resolution, reporting, the role of the forensic examiner, presentation in court and judicial decisions. As the forensic community is taking on the challenges introduced by the realization that the human element is critical for forensic work, new opportunities emerge that allow for considerable improvement and enhancement of the forensic science endeavour. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Environmental Public Health Indicators Impact Report: Data and methods that support environmental public health decision-making by communities

EPA Science Inventory

This report presents the results of twenty competitively funded Science-To-Achieve-Results (STAR) grants in EPA's Environmental Public Health Indicators (EPHI) research program. The grantsdirectly supported health interventions, informed policy and decision-making, and improved t...

Academic Decision Making: Faculty Appointments and Reappointments.

ERIC Educational Resources Information Center

Renner, K. Edward

1987-01-01

The rapidly rising costs of the academic salary budget and the lack of flexibility for making new academic appointments or for reallocating resources to new and emerging educational demands are discussed. Personnel decisions made in the Faculty of Arts and Science at Dalhousie University are described. (MLW)

Use of evidence-based management in healthcare administration decision-making.

PubMed

Guo, Ruiling; Berkshire, Steven D; Fulton, Lawrence V; Hermanson, Patrick M

2017-07-03

Purpose The purpose of this paper is to examine whether healthcare leaders use evidence-based management (EBMgt) when facing major decisions and what types of evidence healthcare administrators consult during their decision-making. This study also intends to identify any relationship that might exist among adoption of EBMgt in healthcare management, attitudes towards EBMgt, demographic characteristics and organizational characteristics. Design/methodology/approach A cross-sectional study was conducted among US healthcare leaders. Spearman's correlation and logistic regression were performed using the Statistical Package for the Social Sciences (SPSS) 23.0. Findings One hundred and fifty-four healthcare leaders completed the survey. The study results indicated that 90 per cent of the participants self-reported having used an EBMgt approach for decision-making. Professional experiences (87 per cent), organizational data (84 per cent) and stakeholders' values (63 per cent) were the top three types of evidence consulted daily and weekly for decision-making. Case study (75 per cent) and scientific research findings (75 per cent) were the top two types of evidence consulted monthly or less than once a month. An exploratory, stepwise logistic regression model correctly classified 75.3 per cent of all observations for a dichotomous "use of EBMgt" response variable using three independent variables: attitude towards EBMgt, number of employees in the organization and the job position. Spearman's correlation indicated statistically significant relationships between healthcare leaders' use of EBMgt and healthcare organization bed size ( r s = 0.217, n = 152, p < 0.01), attitude towards EBMgt ( r s = 0.517, n = 152, p < 0.01), and the number of organization employees ( r s = 0.195, n = 152, p = 0.016). Originality/value This study generated new research findings on the practice of EBMgt in US healthcare administration decision-making.

Designing Visual Aids That Promote Risk Literacy: A Systematic Review of Health Research and Evidence-Based Design Heuristics.

PubMed

Garcia-Retamero, Rocio; Cokely, Edward T

2017-06-01

Background Effective risk communication is essential for informed decision making. Unfortunately, many people struggle to understand typical risk communications because they lack essential decision-making skills. Objective The aim of this study was to review the literature on the effect of numeracy on risk literacy, decision making, and health outcomes, and to evaluate the benefits of visual aids in risk communication. Method We present a conceptual framework describing the influence of numeracy on risk literacy, decision making, and health outcomes, followed by a systematic review of the benefits of visual aids in risk communication for people with different levels of numeracy and graph literacy. The systematic review covers scientific research published between January 1995 and April 2016, drawn from the following databases: Web of Science, PubMed, PsycINFO, ERIC, Medline, and Google Scholar. Inclusion criteria were investigation of the effect of numeracy and/or graph literacy, and investigation of the effect of visual aids or comparison of their effect with that of numerical information. Thirty-six publications met the criteria, providing data on 27,885 diverse participants from 60 countries. Results Transparent visual aids robustly improved risk understanding in diverse individuals by encouraging thorough deliberation, enhancing cognitive self-assessment, and reducing conceptual biases in memory. Improvements in risk understanding consistently produced beneficial changes in attitudes, behavioral intentions, trust, and healthy behaviors. Visual aids were found to be particularly beneficial for vulnerable and less skilled individuals. Conclusion Well-designed visual aids tend to be highly effective tools for improving informed decision making among diverse decision makers. We identify five categories of practical, evidence-based guidelines for heuristic evaluation and design of effective visual aids.

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

NASA Astrophysics Data System (ADS)

Knopman, Debra S.

2006-03-01

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

Applications Integration Strategy in the Mission Development Process

NASA Astrophysics Data System (ADS)

Cox, E. L., Jr.

2016-12-01

NASA's Earth Science Applied Science Program has worked for the past four to five years with the Earth Science Division's Flight Program to cultivate an understanding of the importance of satellite remote sensing impacts on decision-making policy and decision support tools utilized by academia, state and local governments, other government agencies, private sector companies, and non-profit organizations. It has long been recognized that applications projects and studies in areas such as Health and Air Quality, Water Resources, Disasters, and Ecological Forecasting, have benefited and been enhanced through the use of satellite remote sensing. Applications researchers often use remote sensing data once it becomes available after the post-launch evaluation phase in the format and level of fidelity that is available. The results from the many applications projects, over the years, have been significant and there are countless examples of improvements and enhancements to operational systems and decision-making policies in the Applied Sciences community. However, feedback received from the applications community regarding the need for improved data availability and latency; processing and formatting, to name a few, prompted the idea of applied science involvement early in the life cycle of mission development. Over time, the Applied Science Program personnel have learned a great deal from the flight mission development life cycle process and recognized key areas of alignment. This presentation will discuss specific aspects of applied science that investigators should consider when proposing to future announcements involving an applications dimension. The Program's experience with user community needs, decision-making requirements, and stakeholder operations requirements will be highlighted.

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities.

PubMed

López-Rodríguez, M D; Castro, H; Arenas, M; Requena-Mullor, J M; Cano, A; Valenzuela, E; Cabello, J

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities

NASA Astrophysics Data System (ADS)

López-Rodríguez, M. D.; Castro, H.; Arenas, M.; Requena-Mullor, J. M.; Cano, A.; Valenzuela, E.; Cabello, J.

2017-12-01

Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

Climate science informs participatory scenario development and applications to decision making in Alaska

NASA Astrophysics Data System (ADS)

Welling, L. A.; Winfree, R.; Mow, J.

2012-12-01

Climate change presents unprecedented challenges for managing natural and cultural resources into the future. Impacts are expected to be highly consequential but specific effects are difficult to predict, requiring a flexible process for adaptation planning that is tightly coupled to climate science delivery systems. Scenario planning offers a tool for making science-based decisions under uncertainty. The National Park Service (NPS) is working with the Department of the Interior Climate Science Centers (CSCs), the NOAA Regional Integrated Science and Assessment teams (RISAs), and other academic, government, non-profit, and private partners to develop and apply scenarios to long-range planning and decision frameworks. In April 2012, Alaska became the first region of the NPS to complete climate change scenario planning for every national park, preserve, and monument. These areas, which collectively make up two-thirds of the total area of the NPS, are experiencing visible and measurable effects attributable to climate change. For example, thawing sea ice, glaciers and permafrost have resulted in coastal erosion, loss of irreplaceable cultural sites, slope failures, flooding of visitor access routes, and infrastructure damage. With higher temperatures and changed weather patterns, woody vegetation has expanded into northern tundra, spruce and cedar diebacks have occurred in southern Alaska, and wildland fire severity has increased. Working with partners at the Alaska Climate Science Center and the Scenario Network for Alaska Planning the NPS integrates quantitative, model-driven data with qualitative, participatory techniques to scenario creation. The approach enables managers to access and understand current climate change science in a form that is relevant for their decision making. Collaborative workshops conducted over the past two years grouped parks from Alaska's southwest, northwest, southeast, interior and central areas. The emphasis was to identify and connect climate and social drivers of change to ecological processes and decision making. Components included review and synthesis of climate observations and projections, effects and impacts, and information on other relevant factors (e.g., subsistence activities, land cover, fire activity, land use change, sea level shifts). Although workshops focused primarily on park lands and waters, nearby communities and other land management units also participated. Results include a framework through which managers are beginning to analyze uncertainties associated with climate change and ecosystem responses and evaluate appropriate and effective actions. For example, at Kenai Fjords National Park, melting from the Harding Icefield and Exit Glacier is changing how managers respond to local flooding issues. The Exit Glacier is one of the park's iconic visitor experiences and in the last four years, the road to the glacier has been subject to mid-summer/fair weather flooding which are outside the historic norms. Rather than seek a traditional solution to the issue, park management has been working with highway engineers to evolve interim solutions as this dynamic system continues to rapidly change. Climate change scenarios established a set of possible plausible futures for the park and are also being used to "wind tunnel" potential responses.

Outbreak Column 16: Cognitive errors in outbreak decision making.

PubMed

Curran, Evonne T

2015-01-01

During outbreaks, decisions must be made without all the required information. People, including infection prevention and control teams (IPCTs), who have to make decisions during uncertainty use heuristics to fill the missing data gaps. Heuristics are mental model short cuts that by-and-large enable us to make good decisions quickly. However, these heuristics contain biases and effects that at times lead to cognitive (thinking) errors. These cognitive errors are not made to deliberately misrepresent any given situation; we are subject to heuristic biases when we are trying to perform optimally. The science of decision making is large; there are over 100 different biases recognised and described. Outbreak Column 16 discusses and relates these heuristics and biases to decision making during outbreak prevention, preparedness and management. Insights as to how we might recognise and avoid them are offered.

How to achieve benefit from mission-oriented research: lessons from the U.S. Department of Agriculture and the Naval Research Laboratory

NASA Astrophysics Data System (ADS)

Logar, N. J.

2006-12-01

Does the research performed by government mission agencies contribute to improved decision-making? Climate research within the U.S. Department of Agriculture (USDA) has the stated goal of providing "optimal benefit" to decision makers on all levels, and the meteorology division of Department of Defense's Naval Research Laboratory promises research directed towards application. Assuming that research can lead to benefit for decision makers with minimal guidance can lead to irrelevance, wasted effort, and missed opportunities. Moving beyond the assumption leads to critical consideration of processes creating climate and meteorological science. I report the results of contextual mapping, of research on decision processes, and of interviews with agency scientists and users of science to evaluate their science regimes. In the case of the USDA scientists do target stakeholders through formal and informal mechanisms, but much of the science does not find use due to institutional constraints, political considerations, and disciplinary inertia. The research results will provide options for closing these policy gaps, such as higher-level stakeholder interaction and better representation of diverse interests. I apply the economic concept of supply and demand to describe where supply of science provides decision support that matches user demand, and where science policies might miss opportunities or mischaracterize research as useful to a specific user. This analysis leads to increased understanding of how factors such as the definition of scientific problems, hierarchies in science decision-making structures, quality control mechanisms beyond peer review, distribution of participants in the knowledge production enterprise, and social accountability guide the process of producing useful information.

Using Fuzzy-Trace Theory to Understand and Improve Health Judgments, Decisions, and Behaviors: A Literature Review

PubMed Central

Blalock, Susan J.; Reyna, Valerie F.

2016-01-01

Objective Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with three aims: evaluating whether the theory’s basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially in comparison to other approaches. Methods We conducted a literature review using PubMed, PsycInfo, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Results 79 studies were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, four sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Conclusions Despite large gaps in the literature, most studies supported all three aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. PMID:27505197

The role of NASA's Water Resources applications area in improving access to water quality-related information and water resources management

NASA Astrophysics Data System (ADS)

Lee, C. M.

2016-02-01

The NASA Applied Sciences Program plays a unique role in facilitating access to remote sensing-based water information derived from US federal assets towards the goal of improving science and evidence-based decision-making in water resources management. The Water Resources Application Area within NASA Applied Sciences works specifically to develop and improve water data products to support improved management of water resources, with partners who are faced with real-world constraints and conditions including cost and regulatory standards. This poster will highlight the efforts and collaborations enabled by this program that have resulted in integration of remote sensing-based information for water quality modeling and monitoring within an operational context.

The role of NASA's Water Resources applications area in improving access to water quality-related information and water resources management

NASA Astrophysics Data System (ADS)

Lee, C. M.

2016-12-01

The NASA Applied Sciences Program plays a unique role in facilitating access to remote sensing-based water information derived from US federal assets towards the goal of improving science and evidence-based decision-making in water resources management. The Water Resources Application Area within NASA Applied Sciences works specifically to develop and improve water data products to support improved management of water resources, with partners who are faced with real-world constraints and conditions including cost and regulatory standards. This poster will highlight the efforts and collaborations enabled by this program that have resulted in integration of remote sensing-based information for water quality modeling and monitoring within an operational context.

Science Education Attuned to Social Issues: Challenge for the '80s.

ERIC Educational Resources Information Center

Yager, Robert E.; And Others

1981-01-01

Provides rationale for interdisciplinary science curricula which emphasize decision-making skills. Includes examples of interdisciplinary curricula using an issue-centered approach: Unified Science and Mathematics for Elementary School (USMES), Health Activities Program (HAP), Human Sciences Program (HSP), Individualized Science Instructional…

Joint federal research and development process to meet state and local needs. Part 1. Science and technology and political decision making

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

Wise, H F; Smith, L K; Einsweiler, R C

This part of the handbook addresses the basic how to do it - how states and local governments can identify complex and cross-cutting issues and develop and manage scientific and technical resources in seeking policy solutions to such issues. The following subjects are discussed: background statement of the issue; the research/decision-making process; defining problems and identifying research components; research and decision-making strategies; how to identify existing knowledge or ongoing research in the area of policy concern; and managing multi-disciplinary research. The fourteen agencies involved in this effort include: US Departments of Energy, Agriculture, Transportation, Housing and Urban Development, Environmental Protectionmore » Agency, and National Science Foundation. (PSB)« less

Does Evidence Matter? How Middle School Students Make Decisions About Socioscientific Issues

NASA Astrophysics Data System (ADS)

Emery, Katherine Beth

People worldwide are faced with making decisions daily. While many decisions are quick (e.g., what clothes to wear), others, such as those about environmental issues (e.g., overfishing), require more thought and have less immediate outcomes. How one makes such decisions depends on how one interprets, evaluates, and uses evidence. The central objective of this thesis was to investigate environmental science literacy in general, and specifically, to understand how evidence and other factors impact decision-making. I conducted three main studies: First, I provide an example of how decision-making practices affect environmental systems and services through a descriptive case study of Atlantic bluefin tuna overfishing. I reviewed the scientific, historical and cultural factors contributing to a paradox of marine preservation in the Mediterranean and highlighted the need for education and informed decision-making about such social and ecological issues. This study motivated me to investigate how people make decisions about environmental issues. Second, I interviewed middle school students to understand how they describe and evaluate evidence hypothetically and in practice about environmental issues---a key component of environmental literacy. Students discussed how they would evaluate evidence and then were then given a packet containing multiple excerpts of information from conflicting stakeholders about an environmental issue and asked how they would make voting or purchasing decisions about these issues. Findings showed that students' ideas about evaluating evidence (e.g., by scientific and non-scientific criteria) match their practices in part. This study was unique in that it investigated how students evaluate evidence that (1) contradicts other evidence and (2), conflicts with the student's prior positions. Finally, I investigated whether middle school students used evidence when making decisions about socioscientific issues. I hypothesized that holding a strong opinion would decrease the likelihood of changing decisions when presented with additional information. Findings indicated that most students do not change their stance after reading additional evidence. Students were more likely to change their decisions about issues that they cared least about than about issues that they cared most about. Implications for science teaching and learning are discussed.

Decision Theory and the Governance of Technology.

ERIC Educational Resources Information Center

Woodhouse, Edward J.

1987-01-01

Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

Health Technology Assessment - science or art?

PubMed

Hofmann, Bjørn

2013-01-01

The founding disciplines of HTA are clearly scientific, and have been firmly based among the natural sciences. However, common definitions of HTA indicate that HTA is something more than the "pure application of science". This article investigates whether this "something" also makes HTA an art. The question of whether HTA is a science or an art is pursued in two specific and historically rich directions. The first is whether HTA is an art in the same way that medicine is described as an art. It has been argued extensively that medicine is based on two different and partly incompatible cultures, i.e., the natural sciences and humanities. Medicine is based on disciplines within the natural sciences, while its value judgments have been placed in the humanities camp. This dichotomy is present in HTA as well, and the first part of the investigation illustrates how HTA is an art in terms of its inherent and constitutive value-judgments. The second part of the science/art-scrutiny leads us to the ancient (Hippocratic) concept of art, téchne, where we find an etymological and a conceptual link between HTA and art. It demonstrates HTA is not an arbitrary process, even though it involves value judgments and relates complex decision making processes. As an art (téchne) HTA has a specific subject matter, requires inquiry and mastery of general rational principles, and is oriented to a specific end. In conclusion, the science-or-art-question makes sense in two specific perspectives, illustrating that HTA is a science based art. This has implications for the practice of HTA, for its education, and for the status of its results.

Michael Faraday on the Learning of Science and Attitudes of Mind.

ERIC Educational Resources Information Center

Crawford, Elspeth

1998-01-01

Makes use of Michael Faraday's ideas on learning, focusing on his attitudes toward the unknowns of science and the development of an attitude that improves scientific decision making. This approach acknowledges that there is an inner struggle involved in facing unknowns. (DDR)

Spheres of Knowledge that Require Open-mindedness and Open Data

NASA Astrophysics Data System (ADS)

Branch, B. D.

2009-05-01

The progress of social knowledge is impeded if not paralyzed at present by two fundamental factors, one impinging from knowledge without, and the other operating within the world of science itself' (Mannheim, Wirth, and Shils, p. xi). Hence, a Sphere of Knowledge (SK) defined here as a pseudo-ontology, may require a societal open-mindedness as defined by Dewey (1912). With professional open-mindedness and open data use, such social constructs may bridge and build relations towards efficient and effective societal problem solving. Open data use is defined where information has to be gathered from many sources to provided input for latter decision-making in the public interest. Here, spatial thinking may be the heart of data collection, analysis, and reporting that sustains an informatics experience among all parts of society. Here, at risk may be human survival and sustainability if policy and politics has hindered scientific or evidence-based transfer. Executive Order 12096, Coordinating Geographical Data Acquisition and Access: The National Spatial Data Infrastructure, by the federal government in 1994, may be an example of an informatics gap of knowledge where a federal mandate is not being connected to geosciences tools and community leaders that could benefit an open society. Critical in a SK is how an open society makes effective decisions if the issues it faces are new with unpredictable outcomes. Policy and politics should not impede the scientific or evidence based knowledge transfer but should be a root of democratic tools. Policy development and implementation should reflect such complexities' (Gardner, et al, 2003, p. 2). Conceptually, a SK may be too broad for any one disciplinary to address effectively as a next generation concern. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science questions are becoming more common. Concurrent with the growing demand for next generation information technology for science is a growth in semantic technologies' (McGuinness, Fox, and Brodaric, 2008, p. 1). Thus, if human survivability and sustainability exist in this manner as a societal issue, then effective interdisciplinary collaboration among social and hard sciences must effectively value the other to see an advance of evidence based and science based habits in the citizenry. The effective decision making of society may be dependent on the skills of science, its data sharing, and collaboration skills of multiple disciplines to reach feasible solutions for the public interest.

Understanding Optimal Decision-Making in Wargaming

DTIC Science & Technology

2013-09-01

of which is a better understanding of the impact of decisions as a part of combat processes. However, using wargaming to understand decision-making...Raymond, 1989). In the aviation domain, pilots exhibit different visual scanning patterns during various phases of flying under instrument flight rules ( IFR ...human neuro- science, 7, 2013. Anna Skinner, Chris Berka, Lindsay Ohara-Long, and Marc Sebrechts. Impact of virtual en- vironment fidelity on behavioral

EVALUATING HYDROLOGICAL RESPONSE TO FORECASTED LAND-USE CHANGE: SCENARIO TESTING IN TWO WESTERN U.S. WATERSHEDS

EPA Science Inventory

Envisioning and evaluating future scenarios has emerged as a critical component of both science and social decision-making. The ability to assess, report, map, and forecast the life support functions of ecosystems is absolutely critical to our capacity to make informed decisions ...

Engaging Pupils in Decision-Making about Biodiversity Conservation Issues

ERIC Educational Resources Information Center

Grace, Marcus; Byrne, Jenny

2010-01-01

Our pupils' generation will eventually have the daunting responsibility of making decisions about local and global biodiversity. School provides an early opportunity for them to enter into formal discussion about the science and values associated with biodiversity conservation; but the crowded curriculum offers little time for such activities.…

Decision Making and Systems Thinking: Educational Issues

ERIC Educational Resources Information Center

Yurtseven, M. Kudret; Buchanan, Walter W.

2016-01-01

Decision making in most universities is taught within the conventional OR/MS (Operations Research/Management Science) paradigm. This paradigm is known to be "hard" since it is consisted of mathematical tools, and normally suitable for solving structured problems. In complex situations the conventional OR/MS paradigm proves to be…

What Brain Sciences Reveal about Integrating Theory and Practice

ERIC Educational Resources Information Center

Patton, Michael Quinn

2014-01-01

Theory and practice are integrated in the human brain. Situation recognition and response are key to this integration. Scholars of decision making and expertise have found that people with great expertise are more adept at situational recognition and intentional about their decision-making processes. Several interdisciplinary fields of inquiry…

Differences in Biases and Compensatory Strategies Across Discipline, Rank, and Gender among University Academics

PubMed Central

Giorgini, Vincent; Gibson, Carter; Mecca, Jensen T.; Medeiros, Kelsey E.; Mumford, Michael D.; Connelly, Shane; Devenport, Lynn D.

2014-01-01

The study of ethical behavior and ethical decision making is of increasing importance in many fields, and there is a growing literature addressing the issue. However, research examining differences in ethical decision making across fields and levels of experience is limited. In the present study, biases that undermine ethical decision making and compensatory strategies that may aid ethical decision making were identified in a series of interviews with 63 faculty members across six academic fields (e.g. biological sciences, health sciences, social sciences) and three levels of rank (assistant professor, associate professor, and full professor) as well as across gender. The degree to which certain biases and compensatory strategies were used in justifications for responses to ethical situations was compared across fields, level of experience, and gender. Major differences were found across fields for several biases and compensatory strategies, including biases and compensatory strategies related to use of professional field principles and field-specific guidelines. Furthermore, full professors tend to differ greatly from assistant and associate professors on a number of constructs, and there were differences in the consistency with which biases and compensatory strategies were displayed within these various groups. Implications of these findings for ethics training and future research are discussed. PMID:25479960

The Contribution of Environmental Studies Curricula to Environmental Decision Making

NASA Astrophysics Data System (ADS)

Lord, Jean

Current studies indicate that college environmental-science curriculums are often inadequate and not meaningful to college students. Yet climate change, depletion of natural resources, and loss of habitat due to human activities are among critical environmental issues. It is important that college students are prepared to address these issues after graduation. This case study attempted to discover the ways that college students perceived how participation in environmental science courses contributed to their environmental decision making and ecological intelligence. The population consisted of 15 sophomore, junior, and senior students randomly selected from a list of science students provided by the registrar. The conceptual framework that guided this study includes 5 components of ecological intelligence: biodiversity, ecological literacy, decision making skills, understanding sustainability, and systems thinking. The data collected over a period of 3 months from focus groups, individual interviews, and student discussions were transcribed and coded using typological analysis to identify students' perspectives on environmental science courses. Findings showed that college science curriculums need to incorporate students' prior environmental experiences into science courses. They should also focus on providing hands on experiences that promote application of knowledge to address environmental problems. This study may promote the implementation of integrated college science curriculums that encourage environmental, interdisciplinary, and personalized learning experiences. Implications for positive social change include college environmental studies and curricula that motivate students and engage their interest in participating in environmental activities.

Diagnostic decision-making and strategies to improve diagnosis.

PubMed

Thammasitboon, Satid; Cutrer, William B

2013-10-01

A significant portion of diagnostic errors arises through cognitive errors resulting from inadequate knowledge, faulty data gathering, and/or faulty verification. Experts estimate that 75% of diagnostic failures can be attributed to clinician diagnostic thinking failure. The cognitive processes that underlie diagnostic thinking of clinicians are complex and intriguing, and it is imperative that clinicians acquire explicit appreciation and application of different cognitive approaches to make decisions better. A dual-process model that unifies many theories of decision-making has emerged as a promising template for understanding how clinicians think and judge efficiently in a diagnostic reasoning process. The identification and implementation of strategies for decreasing or preventing such diagnostic errors has become a growing area of interest and research. Suggested strategies to decrease diagnostic error incidence include increasing clinician's clinical expertise and avoiding inherent cognitive errors to make decisions better. Implementing Interventions focused solely on avoiding errors may work effectively for patient safety issues such as medication errors. Addressing cognitive errors, however, requires equal effort on expanding the individual clinician's expertise. Providing cognitive support to clinicians for robust diagnostic decision-making serves as the final strategic target for decreasing diagnostic errors. Clinical guidelines and algorithms offer another method for streamlining decision-making and decreasing likelihood of cognitive diagnostic errors. Addressing cognitive processing errors is undeniably the most challenging task in reducing diagnostic errors. While many suggested approaches exist, they are mostly based on theories and sciences in cognitive psychology, decision-making, and education. The proposed interventions are primarily suggestions and very few of them have been tested in the actual practice settings. Collaborative research effort is required to effectively address cognitive processing errors. Researchers in various areas, including patient safety/quality improvement, decision-making, and problem solving, must work together to make medical diagnosis more reliable. © 2013 Mosby, Inc. All rights reserved.

Towards a well-connected, global, interdisciplinary research community for rational decision making in the Anthropocene

NASA Astrophysics Data System (ADS)

Rauser, Florian

2016-04-01

The Young Earth System Scientists community YESS (yess-community.org) is a global network of Earth System Science early career researchers focussing on interdisciplinarity. One of the central goals of our early career network is to communicate to the world that Earth System Science has accepted the central challenge of creating tangible products for the benefit of society. A coordinated and truly global approach to Earth System Science is our best attempt to focus our understanding of the complex interplay of Earth's processes into tools for future societies, i.e., for humanity to move away from being a sorcerer's apprentice and to become a rational actor. We believe that starting with the next generation of Earth system scientists to work on that unified approach and creating an environment that allows ambitious, forward-thinking, interdisciplinary science to blossom will be our best way forward into a mature Anthropocene. In 2015 YESS started a process to come up with a definition of the Frontiers of Earth System Science research from an early career perspective, together with the research arms of the World Meteorological Organisation (WMO). During this process it became apparent that there are a few major aspects that cannot be put into the forefront often enough: one, the reality of capacity building; societies can only have robust decision-making if their decision makers can be advised not only by global assessment processes like the Intergovernmental Panel on Climate Change (IPCC) but also by local experts. The reality of a globalised science community is often only true for a few scientists at the very top from a selected number of countries. Two, the integration and balance of both user-driven and fundamental research is key to make science one pillar of a global, mature Anthropocene. This includes a better way to communicate science to end users and a more comprehensive homogenisation of weather and climate research agendas. Three, a complete overview of the scales of predictability and control of the Earth system has to be developed and maintained as a basis of societal decision making. Four, the interdisciplinary research that is required for better understanding the Anthropocene requires global research coordination across fields that is currently not necessarily reflected in standing research organisation structures. Five, the necessity of better integration of science into societal decision processes. The 2015 Conference of the Parties 21 in Paris has shown what is possible on a global, aggregated policy level - but the next years will have to show which societal actors can be thought of as rational and deliberate. This point addresses the issue that science alone is not the rational actor we need in the future, but can only advise those actors. In this session we want to outline those arguments with examples and discuss the influence of a global research funding structure that often reflects what we did in the past more, than what we want to do in the future. This discussion includes an example of the concept of science based target setting, a methodology developed to transfer scientific information into guidelines for companies.

Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making.

PubMed

Capalbo, Susan M; Antle, John M; Seavert, Clark

2017-07-01

Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software. We describe two analytical tools - AgBiz Logic and TOA-MD - that demonstrate the current capability of farmlevel and landscape-scale models. The use of these tools is explored with a case study of an oilseed crop, Camelina sativa , which could be used to produce jet aviation fuel. We conclude with a discussion of innovations needed to facilitate the use of farm and policy-level models to generate data and analysis for improved knowledge products.

Perceptions of disease risk: from social construction of subjective judgments to rational decision making.

PubMed

McRoberts, N; Hall, C; Madden, L V; Hughes, G

2011-06-01

Many factors influence how people form risk perceptions. Farmers' perceptions of risk and levels of risk aversion impact on decision-making about such things as technology adoption and disease management practices. Irrespective of the underlying factors that affect risk perceptions, those perceptions can be summarized by variables capturing impact and uncertainty components of risk. We discuss a new framework that has the subjective probability of disease and the cost of decision errors as its central features, which might allow a better integration of social science and epidemiology, to the benefit of plant disease management. By focusing on the probability and cost (or impact) dimensions of risk, the framework integrates research from the social sciences, economics, decision theory, and epidemiology. In particular, we review some useful properties of expected regret and skill value, two measures of expected cost that are particularly useful in the evaluation of decision tools. We highlight decision-theoretic constraints on the usefulness of decision tools that may partly explain cases of failure of adoption. We extend this analysis by considering information-theoretic criteria that link model complexity and relative performance and which might explain why users reject forecasters that impose even moderate increases in the complexity of decision making despite improvements in performance or accept very simple decision tools that have relatively poor performance.

Distinction between Externally vs. Internally Guided Decision-Making: Operational Differences, Meta-Analytical Comparisons and Their Theoretical Implications

PubMed Central

Nakao, Takashi; Ohira, Hideki; Northoff, Georg

2012-01-01

Most experimental studies of decision-making have specifically examined situations in which a single less-predictable correct answer exists (externally guided decision-making under uncertainty). Along with such externally guided decision-making, there are instances of decision-making in which no correct answer based on external circumstances is available for the subject (internally guided decision-making). Such decisions are usually made in the context of moral decision-making as well as in preference judgment, where the answer depends on the subject’s own, i.e., internal, preferences rather than on external, i.e., circumstantial, criteria. The neuronal and psychological mechanisms that allow guidance of decisions based on more internally oriented criteria in the absence of external ones remain unclear. This study was undertaken to compare decision-making of these two kinds empirically and theoretically. First, we reviewed studies of decision-making to clarify experimental–operational differences between externally guided and internally guided decision-making. Second, using multi-level kernel density analysis, a whole-brain-based quantitative meta-analysis of neuroimaging studies was performed. Our meta-analysis revealed that the neural network used predominantly for internally guided decision-making differs from that for externally guided decision-making under uncertainty. This result suggests that studying only externally guided decision-making under uncertainty is insufficient to account for decision-making processes in the brain. Finally, based on the review and results of the meta-analysis, we discuss the differences and relations between decision-making of these two types in terms of their operational, neuronal, and theoretical characteristics. PMID:22403525

Emotion and decision making.

PubMed

Lerner, Jennifer S; Li, Ye; Valdesolo, Piercarlo; Kassam, Karim S

2015-01-03

A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across different domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and decision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.

39 CFR 775.8 - Environmental evaluation guidelines.

Code of Federal Regulations, 2010 CFR

2010-07-01

... that integrates natural and social sciences and environmental design in planning and making decisions... for early decision on whether detailed environmental impact statements must be prepared.) (4) Study...

39 CFR 775.8 - Environmental evaluation guidelines.

Code of Federal Regulations, 2011 CFR

2011-07-01

... that integrates natural and social sciences and environmental design in planning and making decisions... for early decision on whether detailed environmental impact statements must be prepared.) (4) Study...

39 CFR 775.8 - Environmental evaluation guidelines.

Code of Federal Regulations, 2014 CFR

2014-07-01

... that integrates natural and social sciences and environmental design in planning and making decisions... for early decision on whether detailed environmental impact statements must be prepared.) (4) Study...

39 CFR 775.8 - Environmental evaluation guidelines.

Code of Federal Regulations, 2012 CFR

2012-07-01

... that integrates natural and social sciences and environmental design in planning and making decisions... for early decision on whether detailed environmental impact statements must be prepared.) (4) Study...

39 CFR 775.8 - Environmental evaluation guidelines.

Code of Federal Regulations, 2013 CFR

2013-07-01

... that integrates natural and social sciences and environmental design in planning and making decisions... for early decision on whether detailed environmental impact statements must be prepared.) (4) Study...

A gaze through the lens of decision theory toward knowledge translation science.

PubMed

Bucknall, Tracey

2007-01-01

Research findings become evidence when an individual decides that the information is relevant and useful to a particular circumstance. Prior to that point, they are unrelated facts. For research translation to occur, research evidence needs filtering, interpretation, and application by individuals to the specific situation. For this reason, decision science is complementary to knowledge translation science. Both aim to support the individual in deciding the most appropriate action in a dynamic environment where there are masses of uncensored and nonprioritized information readily available. Decision science employs research theories to study the cognitive processes underpinning the filtering and integration of current scientific information into changing contexts. Two meta-theories, coherence and correspondence theories, have been used to provide alternative views and prompt significant debate to advance the science. The aim of this article is to stimulate debate about the relationship between decision theory and knowledge translation. Discussed is the critical role of cognition in clinical decision making, with a focus on knowledge translation. A critical commentary of the knowledge utilization modeling papers is presented from a decision science perspective. The article concludes with a discussion on the implications for knowledge translation when viewed through the lens of decision science.

Risk and Infrastructure Science Center - Global Security Sciences

Science.gov Websites

delivers scientific tools and methodologies to inform decision making regarding the most challenging Sciences ASD Accelerator Systems AES APS Engineering Support XSD X-ray Science Physical Sciences and Leadership Strategic Alliance for Global Energy Solutions Overview Leadership Systems Science Center Overview

Charting a path forward: building AGU's capacity to help foster scientist-decision maker engagement

NASA Astrophysics Data System (ADS)

Vano, J. A.; Behar, D. H.; Mote, P.; Ferguson, D. B.; Pandya, R.

2016-12-01

Most research proposals, papers, and presentation abstracts begin with the motivation that the new science presented will benefit society. Behind this, beyond making good on the promises to get funding, is a sincere effort to contribute our knowledge and talent to build a better (safer, sustainable, more resilient) world. For this to happen, however, the science needs to be connected to people in communities who make decisions. While this happens in a variety of ways, often for research to be most useful to society, engagement with decision makers should occur at the beginning and throughout the research process. Increasingly this is being recognized as important, as evidenced by the growing number of boundary organizations (e.g., U.S. Department of the Interior's Climate Science Centers, NOAA's Regional Integrated Sciences and Assessment programs). Even within AGU, in recent years there has been a number of new activities and networks that suggest a growing community of practice for those doing work at the science-society interface (e.g., The Thriving Earth Exchange, the Water and Society Technical Committee in the Hydrology Section). In this presentation, we highlight what these activities are and share insights from those involved. We evaluate trends (e.g., have the number of abstracts on this topic increased?) and present responses from AGU members to questions on where this community of practice should go next (e.g., What is the most important task the AGU community should do to improve decision maker-scientist engagement?). The goal of this presentation is to promote a conversation about how the AGU community can be better prepared to foster engagement with decision makers that will lead to more actionable science. This will help us ensure our science is useful to society, fulfilling our motivations, and arguably responsibilities, both individually and as a community. It will also serve to prepare new scientists for a broader range of careers beyond traditional research that can help integrate science and decision making. Audience participation will be encouraged.

A Hybrid Backward-Forward Iterative Model for Improving Capacity Building of Earth Observations for Sustainable Societal Application

NASA Astrophysics Data System (ADS)

Hossain, F.; Iqbal, N.; Lee, H.; Muhammad, A.

2015-12-01

When it comes to building durable capacity for implementing state of the art technology and earth observation (EO) data for improved decision making, it has been long recognized that a unidirectional approach (from research to application) often does not work. Co-design of capacity building effort has recently been recommended as a better alternative. This approach is a two-way street where scientists and stakeholders engage intimately along the entire chain of actions from design of research experiments to packaging of decision making tools and each party provides an equal amount of input. Scientists execute research experiments based on boundary conditions and outputs that are defined as tangible by stakeholders for decision making. On the other hand, decision making tools are packaged by stakeholders with scientists ensuring the application-specific science is relevant. In this talk, we will overview one such iterative capacity building approach that we have implemented for gravimetry-based satellite (GRACE) EO data for improved groundwater management in Pakistan. We call our approach a hybrid approach where the initial step is a forward model involving a conventional short-term (3 day) capacity building workshop in the stakeholder environment addressing a very large audience. In this forward model, the net is cast wide to 'shortlist' a set of highly motivated stakeholder agency staffs who are then engaged more directly in 1-1 training. In the next step (the backward model), these short listed staffs are then brought back in the research environment of the scientists (supply) for 1-1 and long-term (6 months) intense brainstorming, training, and design of decision making tools. The advantage of this backward model is that it allows for a much better understanding for scientists of the ground conditions and hurdles of making a EO-based scientific innovation work for a specific decision making problem that is otherwise fundamentally impossible in conventional training workshops. We demonstrate here our experience of implementing this hybrid model for capacity building for groundwater management for Pakistan Council for Research on Water Resources (PCRWR) with the ultimate goal of empowering naitonal agencies in their ability to monitor groundwater storage changes independently from satellites.

Evidence-based decision making in health care settings: from theory to practice.

PubMed

Kohn, Melanie Kazman; Berta, Whitney; Langley, Ann; Davis, David

2011-01-01

The relatively recent attention that evidence-based decision making has received in health care management has been at least in part due to the profound influence of evidence-based medicine. The result has been several comparisons in the literature between the use of evidence in health care management decisions and the use of evidence in medical decision making. Direct comparison, however, may be problematic, given the differences between medicine and management as they relate to (1) the nature of evidence that is brought to bear on decision making; (2) the maturity of empirical research in each field (in particular, studies that have substantiated whether or not and how evidence-based decision making is enacted); and (3) the context within which evidence-based decisions are made. By simultaneously reviewing evidence-based medicine and management, this chapter aims to inform future theorizing and empirical research on evidence-based decision making in health care settings.

Shared decision making in chronic care in the context of evidence based practice in nursing.

PubMed

Friesen-Storms, Jolanda H H M; Bours, Gerrie J J W; van der Weijden, Trudy; Beurskens, Anna J H M

2015-01-01

In the decision-making environment of evidence-based practice, the following three sources of information must be integrated: research evidence of the intervention, clinical expertise, and the patient's values. In reality, evidence-based practice usually focuses on research evidence (which may be translated into clinical practice guidelines) and clinical expertise without considering the individual patient's values. The shared decision-making model seems to be helpful in the integration of the individual patient's values in evidence-based practice. We aim to discuss the relevance of shared decision making in chronic care and to suggest how it can be integrated with evidence-based practice in nursing. We start by describing the following three possible approaches to guide the decision-making process: the paternalistic approach, the informed approach, and the shared decision-making approach. Implementation of shared decision making has gained considerable interest in cases lacking a strong best-treatment recommendation, and when the available treatment options are equivalent to some extent. We discuss that in chronic care it is important to always invite the patient to participate in the decision-making process. We delineate the following six attributes of health care interventions in chronic care that influence the degree of shared decision making: the level of research evidence, the number of available intervention options, the burden of side effects, the impact on lifestyle, the patient group values, and the impact on resources. Furthermore, the patient's willingness to participate in shared decision making, the clinical expertise of the nurse, and the context in which the decision making takes place affect the shared decision-making process. A knowledgeable and skilled nurse with a positive attitude towards shared decision making—integrated with evidence-based practice—can facilitate the shared decision-making process. We conclude that nurses as well as other health care professionals in chronic care should integrate shared decision making with evidence-based practice to deliver patient-centred care. Copyright © 2014 Elsevier Ltd. All rights reserved.

78 FR 43926 - Solicitation for a Cooperative Agreement-Evidence-Based Decision Making in State and Local...

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...--Evidence-Based Decision Making in State and Local Criminal Justice Systems: Planning and Development for... Evidence-Based Decision Making (EBDM) in Local Criminal Justice Systems initiative. It will require the... will also revise ``A Framework for Evidence- Based Decision Making in Local Criminal Justice Systems...

Eyes on the prize: reflections on the impact of the evolving digital ecology on the librarian as expert intermediary and knowledge coach, 1969-2009.

PubMed

Homan, J Michael

2010-01-01

The 2009 Janet Doe Lecture reflects on the continuing value and increasing return on investment of librarian-mediated services in the constantly evolving digital ecology and complex knowledge environment of the health sciences. The interrelationship of knowledge, decision making based on knowledge, technology used to access and retrieve knowledge, and the important linkage roles of expert librarian intermediaries is examined. Professional experiences from 1969 to 2009, occurring during a time of unprecedented changes in the digital ecology of librarianship, are the base on which the evolving role and value of librarians as knowledge coaches and expert intermediaries are examined. Librarian-mediated services linking knowledge and critical decision making in health care have become more valuable than ever as technology continues to reshape an increasingly complex knowledge environment.

Health Technology Assessment – science or art?

PubMed Central

Hofmann, Bjørn

2013-01-01

The founding disciplines of HTA are clearly scientific, and have been firmly based among the natural sciences. However, common definitions of HTA indicate that HTA is something more than the “pure application of science”. This article investigates whether this “something” also makes HTA an art. The question of whether HTA is a science or an art is pursued in two specific and historically rich directions. The first is whether HTA is an art in the same way that medicine is described as an art. It has been argued extensively that medicine is based on two different and partly incompatible cultures, i.e., the natural sciences and humanities. Medicine is based on disciplines within the natural sciences, while its value judgments have been placed in the humanities camp. This dichotomy is present in HTA as well, and the first part of the investigation illustrates how HTA is an art in terms of its inherent and constitutive value-judgments. The second part of the science/art-scrutiny leads us to the ancient (Hippocratic) concept of art, téchne, where we find an etymological and a conceptual link between HTA and art. It demonstrates HTA is not an arbitrary process, even though it involves value judgments and relates complex decision making processes. As an art (téchne) HTA has a specific subject matter, requires inquiry and mastery of general rational principles, and is oriented to a specific end. In conclusion, the science-or-art-question makes sense in two specific perspectives, illustrating that HTA is a science based art. This has implications for the practice of HTA, for its education, and for the status of its results. PMID:23935761

The Evolving Relationship between Researchers and Public Policy

ERIC Educational Resources Information Center

Henig, Jeffrey R.

2008-01-01

When it comes to the role of research in shaping public policy and debate, one might reasonably argue that this is the best of times. No Child Left Behind (NCLB), with its frequent mention of evidence-based decision making, has underscored the role that objective knowledge should play in a democratic society. The Institute of Education Sciences,…

Examining Curriculum Related Progress Using a Context-Based Test Instrument--A Comparison of Estonian Grade 10 and 11 Students

ERIC Educational Resources Information Center

Soobard, R.; Rannikmae, M.

2015-01-01

This study was undertaken to investigate the progress in operational scientific literacy skills through demonstrating cognition associated with undertaking scientific processes. Scientific literacy is taken here to mean utilising science knowledge and skills, particularly with relevance to creative problem solving and making reasoned decisions in…

Extending the Mertonian Norms: Scientists' Subscription to Norms of Research

ERIC Educational Resources Information Center

Anderson, Melissa S.; Ronning, Emily A.; De Vries, Raymond; Martinson, Brian C.

2010-01-01

This analysis, based on focus groups and a national survey, assesses scientists' subscription to the Mertonian norms of science and associated counternorms. It also supports extension of these norms to governance (as opposed to administration), as a norm of decision-making, and quality (as opposed to quantity), as an evaluative norm. (Contains 1…

Data Driven Decision-Making in the Era of Accountability: Fostering Faculty Data Cultures for Learning

ERIC Educational Resources Information Center

Hora, Matthew T.; Bouwma-Gearhart, Jana; Park, Hyoung Joon

2017-01-01

In this article the authors report findings from a practice-based study that examines the cultural practices of data use among 59 science and engineering faculty from three large, public research universities. In this exploratory study they documented how faculty use teaching-related data "in the wild" using interviews and classroom…

Identifying and Understanding Valid Sustainability Information: The Crossroads of Evidence-Based Practice, Science Literacy, and Information Literacy

ERIC Educational Resources Information Center

Hare, Richard Gabriel; Jo, Jihoon; Moreton, Elizabeth; Stamm, Andrew; Winter, Danielle

2011-01-01

Obtaining reliable information is essential to forming a balanced understanding of the scope and complexity of environmental sustainability, and it is essential for effective participation, decision-making, and research in sustainability-related activities. While the ACRL Standards for Information Literacy (2000) are a good guiding principle for…

Field Test of an Epidemiology Curriculum for Middle School Students

ERIC Educational Resources Information Center

Kaelin, Mark A.; Huebner, Wendy W.; Nicolich, Mark J.; Kimbrough, Maudellyn L.

2007-01-01

The purpose of this study was to test the effectiveness of a middle school epidemiology curriculum called Detectives in the Classroom. The curriculum presents epidemiology as the science of public health, using health-related issues that capture the interest of young students and help prepare them to make evidence-based health-related decisions.…

Expertise transfer for expert system design

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

Boose, J.H.

This book is about the Expertise Transfer System-a computer program which interviews experts and helps them build expert systems, i.e. computer programs that use knowledge from experts to make decisions and judgements under conditions of uncertainty. The techniques are useful to anyone who uses decision-making information based on the expertise of others. The methods can also be applied to personal decision-making. The interviewing methodology is borrowed from a branch of psychology called Personal Construct Theory. It is not necessary to use a computer to take advantage of the techniques from Personal Construction Theory; the fundamental procedures used by the Expertisemore » Transfer System can be performed using paper and pencil. It is not necessary that the reader understand very much about computers to understand the ideas in this book. The few relevant concepts from computer science and expert systems that are needed are explained in a straightforward manner. Ideas from Personal Construct Psychology are also introduced as needed.« less

Bringing values and deliberation to science communication

PubMed Central

Dietz, Thomas

2013-01-01

Decisions always involve both facts and values, whereas most science communication focuses only on facts. If science communication is intended to inform decisions, it must be competent with regard to both facts and values. Public participation inevitably involves both facts and values. Research on public participation suggests that linking scientific analysis to public deliberation in an iterative process can help decision making deal effectively with both facts and values. Thus, linked analysis and deliberation can be an effective tool for science communication. However, challenges remain in conducting such process at the national and global scales, in enhancing trust, and in reconciling diverse values. PMID:23940350

A double-slit experiment for non-classical interference effects in decision making.

PubMed

La Mura, Pierfrancesco

2014-01-01

We discuss the possible nature and role of non-physical entanglement, and the classical vs. non-classical interface, in models of human decision-making. We also introduce an experimental setting designed after the double-slit experiment in physics, and discuss how it could be used to discriminate between classical and non-classical interference effects in human decisions. Copyright © 2013 Cognitive Science Society, Inc.

Climate sensitivity estimated from temperature reconstructions of the Last Glacial Maximum

NASA Astrophysics Data System (ADS)

Schmittner, A.; Urban, N.; Shakun, J. D.; Mahowald, N. M.; Clark, P. U.; Bartlein, P. J.; Mix, A. C.; Rosell-Melé, A.

2011-12-01

In 1959 IJ Good published the discussion "Kinds of Probability" in Science. Good identified (at least) five kinds. The need for (at least) a sixth kind of probability when quantifying uncertainty in the context of climate science is discussed. This discussion brings out the differences in weather-like forecasting tasks and climate-links tasks, with a focus on the effective use both of science and of modelling in support of decision making. Good also introduced the idea of a "Dynamic probability" a probability one expects to change without any additional empirical evidence; the probabilities assigned by a chess playing program when it is only half thorough its analysis being an example. This case is contrasted with the case of "Mature probabilities" where a forecast algorithm (or model) has converged on its asymptotic probabilities and the question hinges in whether or not those probabilities are expected to change significantly before the event in question occurs, even in the absence of new empirical evidence. If so, then how might one report and deploy such immature probabilities in scientific-support of decision-making rationally? Mature Probability is suggested as a useful sixth kind, although Good would doubtlessly argue that we can get by with just one, effective communication with decision makers may be enhanced by speaking as if the others existed. This again highlights the distinction between weather-like contexts and climate-like contexts. In the former context one has access to a relevant climatology (a relevant, arguably informative distribution prior to any model simulations), in the latter context that information is not available although one can fall back on the scientific basis upon which the model itself rests, and estimate the probability that the model output is in fact misinformative. This subjective "probability of a big surprise" is one way to communicate the probability of model-based information holding in practice, the probability that the information the model-based probability is conditioned on holds. It is argued that no model-based climate-like probability forecast is complete without a quantitative estimate of its own irrelevance, and that the clear identification of model-based probability forecasts as mature or immature, are critical elements for maintaining the credibility of science-based decision support, and can shape uncertainty quantification more widely.

Developing Effective Boards, Councils and Commissions. Revised.

ERIC Educational Resources Information Center

Dyer, Delwyn A.; Williams, Oscar M.

Effective board operations are an art as well as a science. Local advisory boards or governing boards/councils refer to active, duly organized, and representative bodies that hold regular meetings and make decisions on behalf of the membership, and whose members serve without pay. Advisory boards assist those who make organizational decisions but…

EVALUATING HYDROLOGICAL RESPONSE TO FORECASTED LAND-USE CHANGE: SCENARIO TESTING WITH THE AUTOMATED GEOSPATIAL WATERSHED ASSESSMENT (AGWA) TOOL

EPA Science Inventory

Envisioning and evaluating future scenarios has emerged as a critical component of both science and social decision-making. The ability to assess, report, map, and forecast the life support functions of ecosystems is absolutely critical to our capacity to make informed decisions...

Compelling Evidence: An Influence on Middle School Students' Accounts That May Impact Decision-Making about Socioscientific Issues

ERIC Educational Resources Information Center

Emery, Katherine; Harlow, Danielle; Whitmer, Ali; Gaines, Steven

2017-01-01

This study investigates how middle school students make hypothetical purchasing, consuming, and voting decisions about environmental and science-related issues--a key component of environmental literacy. Fifty-three female students were given a packet containing multiple excerpts of information from conflicting positions from stakeholders and…

Government: The Decision-Making Process. A Resource Manual for Teachers and Students. Revised Edition.

ERIC Educational Resources Information Center

Khanlian, John F.; Wallin, Katherine L.

This guide for high school political science teachers focuses on political decision making. The program emphasizes experiential learning through utilizing community and state resources and implementing field study and internships for students. The document is presented in eight sections. The introduction includes a values survey and suggestions…

Making a Quick Call: Compressing Future Military Decision Cycles with Improved Processes and Technology

DTIC Science & Technology

2002-05-16

which could actually increase the decision-making capacity of a military leader. In a recent article entitled, “The Coming of the Cyborgs ,” the...Coming of the Cyborgs ,” Fantasy & Science Fiction, January 2002, 107. 13 through the extensive reading of history and the rigorous conduct of

Scenario Analysis: Evaluating Biodiversity Response to Forecasted Land-Use Change in the San Pedro River Basin (U.S.-Mexico)

EPA Science Inventory

Envisioning and evaluating future scenarios has emerged as a critical component of both science and social decision-making. The ability to assess, report, map, and forecast the life support functions of ecosystems is absolutely critical to our capacity to make informed decisions...

What's Natural about Nature? Deceptive Concepts in Socio-Scientific Decision-Making

ERIC Educational Resources Information Center

Lindahl, Mats Gunnar; Linder, Cedric

2015-01-01

The conflicts between nature and nurture are brought to the fore and challenges socio-scientific decision-making in science education. The multitude of meanings of these concepts and their roles in societal discourses can impede students' development of understanding for different perspectives, e.g. on gene technology. This study problematizes…

Symposium on Integrating the Science of Environmental Justice into Decision-Making at the Environmental Protection Agency: An Overview

PubMed Central

Payne-Sturges, Devon; Garcia, Lisa; Lee, Charles; Zenick, Hal; Grevatt, Peter; Sanders, William H.; Case, Heather; Dankwa-Mullan, Irene

2011-01-01

In March 2010, the Environmental Protection Agency (EPA) collaborated with government and nongovernmental organizations to host a groundbreaking symposium, “Strengthening Environmental Justice Research and Decision Making: A Symposium on the Science of Disproportionate Environmental Health Impacts.” The symposium provided a forum for discourse on the state of scientific knowledge about factors identified by EPA that may contribute to higher burdens of environmental exposure or risk in racial/ethnic minorities and low-income populations. Also featured were discussions on how environmental justice considerations may be integrated into EPA's analytical and decision-making frameworks and on research needs for advancing the integration of environmental justice into environmental policymaking. We summarize key discussions and conclusions from the symposium and briefly introduce the articles in this issue. PMID:22028456

Inquiry-Based Instruction and High Stakes Testing

NASA Astrophysics Data System (ADS)

Cothern, Rebecca L.

Science education is a key to economic success for a country in terms of promoting advances in national industry and technology and maximizing competitive advantage in a global marketplace. The December 2010 Program for International Student Assessment (PISA) ranked the United States 23rd of 65 countries in science. That dismal standing in science proficiency impedes the ability of American school graduates to compete in the global market place. Furthermore, the implementation of high stakes testing in science mandated by the 2007 No Child Left Behind (NCLB) Act has created an additional need for educators to find effective science pedagogy. Research has shown that inquiry-based science instruction is one of the predominant science instructional methods. Inquiry-based instruction is a multifaceted teaching method with its theoretical foundation in constructivism. A correlational survey research design was used to determine the relationship between levels of inquiry-based science instruction and student performance on a standardized state science test. A self-report survey, using a Likert-type scale, was completed by 26 fifth grade teachers. Participants' responses were analyzed and grouped as high, medium, or low level inquiry instruction. The unit of analysis for the achievement variable was the student scale score average from the state science test. Spearman's Rho correlation data showed a positive relationship between the level of inquiry-based instruction and student achievement on the state assessment. The findings can assist teachers and administrators by providing additional research on the benefits of the inquiry-based instructional method. Implications for positive social change include increases in student proficiency and decision-making skills related to science policy issues which can help make them more competitive in the global marketplace.

Adaptive Management Using Remote Sensing and Ecosystem Modeling in Response to Climate Variability and Invasive Aquatic Plants for the California Sacramento-San Joaquin Delta Water Resource

NASA Technical Reports Server (NTRS)

Bubenheim, David; Potter, Christopher; Zhang, Minghua; Madsen, John

2017-01-01

The California Sacramento-San Joaquin River Delta is the hub for California's water supply and supports important ecosystem services, agriculture, and communities in Northern to Southern California. Expansion of invasive aquatic plants in the Delta coupled with impacts of changing climate and long-term drought is detrimental to the San Francisco Bay/California Delta complex. NASA Ames Research Center and the USDA-ARS partnered with the State of California to develop science-based, adaptive-management strategies for invasive aquatic plant in the Sacramento-San Joaquin Delta. Specific mapping tools developed utilizing satellite and airborne platforms provide regular assessments of population dynamics on a landscape scale and support both strategic planning and operational decision making for resource managers. San Joaquin and Sacramento River watersheds water quality input to the Delta is modeled using the Soil-Water Assessment Tool (SWAT) and a modified SWAT tool has been customized to account for unique landscape and management of agricultural water supply and drainage within the Delta. Environmental response models for growth of invasive aquatic weeds are being parameterized and coupled with spatial distribution/biomass density mapping and water quality to study ecosystem response to climate and aquatic plant management practices. On the water validation and operational utilization of these tools by management agencies and how they are improving decision making, management effectiveness and efficiency will be discussed. The project combines science, operations, and economics related to integrated management scenarios for aquatic weeds to help land and water resource managers make science-informed decisions regarding management and outcomes.

Using climate change scenarios to assess high school students' argumentation skills

NASA Astrophysics Data System (ADS)

Dawson, Vaille; Carson, Katherine

2017-01-01

Background: Many international science curriculum documents mandate that students should be able to participate in argument, debate and decision-making about contemporary science issues affecting society. Termed socioscientific issues, these topics provide students with opportunities to use their scientific knowledge to discuss, debate and defend their decisions and to evaluate the arguments of their peers.

QUALITY SCIENCE IN THE COURTROOM: US EPA QA AND PEER REVIEW POLICIES AND PROCEDURES COMPARED TO THE DAUBERT FACTORS

EPA Science Inventory

Protection of the environment is, in part, dependent on the quality of data used in decision making. Whether the decisions are applied to science itself or to the laws governing people and their living conditions, good quality data are expected by two disciplines with distinct d...

The Effect of Career Decisions on Entrepreneurial Intention Levels of University Students Studying Sport Sciences

ERIC Educational Resources Information Center

Yildiz, Kadir

2018-01-01

This study investigates the entrepreneurial intention levels and career decisions of a sample of 340 university students studying sport sciences. Entrepreneurship refers to a career-related choice that is driven by a risk-taking and innovation imperative. Entrepreneurs of the future are expected to make their career related choices well before…

Decision-Making Deficits Among Maltreated Children

PubMed Central

Weller, Joshua A.; Fisher, Philip A.

2013-01-01

Although maltreated children involved with child welfare services are known to exhibit elevated levels of health-risking behaviors, little is known about their decision-making processes leading to these behaviors. Research findings suggest that maltreated children exhibit developmental delays in neurocognitive and emotional regulation systems that could adversely impact their abilities to make decisions under conditions of risk. Whereas prior researchers have examined risky decision making as a global construct, maltreated children’s decision making was examined in two contexts in the present study: potential gains and potential losses. Comparing maltreated children (n = 25) and a nonmaltreated community group (n = 112), it was found that the maltreated children showed decision-making impairments for both domains: This impairment was especially prominent in the loss domain. The maltreated children took excessive risks and were insensitive to changes in expected value. Follow-up analyses revealed that these differences were primarily associated with insensitivity to changes in outcome magnitude for the risky option. Finally, response latency analyses indicated that the maltreated children were slower to make choices, reinforcing underlying differences in decision processes between groups. These results have implications for basic and translational science. PMID:23220788

Science Process Skills in Science Curricula Applied in Turkey

ERIC Educational Resources Information Center

Yumusak, Güngör Keskinkiliç

2016-01-01

One of the most important objectives of the science curricula is to bring in science process skills. The science process skills are skills that lie under scientific thinking and decision-making. Thus it is important for a science curricula to be rationalized in such a way that it brings in science process skills. New science curricula were…

The influence of hazard models on GIS-based regional risk assessments and mitigation policies

USGS Publications Warehouse

Bernknopf, R.L.; Rabinovici, S.J.M.; Wood, N.J.; Dinitz, L.B.

2006-01-01

Geographic information systems (GIS) are important tools for understanding and communicating the spatial distribution of risks associated with natural hazards in regional economies. We present a GIS-based decision support system (DSS) for assessing community vulnerability to natural hazards and evaluating potential mitigation policy outcomes. The Land Use Portfolio Modeler (LUPM) integrates earth science and socioeconomic information to predict the economic impacts of loss-reduction strategies. However, the potential use of such systems in decision making may be limited when multiple but conflicting interpretations of the hazard are available. To explore this problem, we conduct a policy comparison using the LUPM to test the sensitivity of three available assessments of earthquake-induced lateral-spread ground failure susceptibility in a coastal California community. We find that the uncertainty regarding the interpretation of the science inputs can influence the development and implementation of natural hazard management policies. Copyright ?? 2006 Inderscience Enterprises Ltd.

Developing science policy capacity at the state government level: Planning a science and technology policy fellowship program for Colorado and beyond

NASA Astrophysics Data System (ADS)

Druckenmiller, M. L.

2017-12-01

There is growing recognition of the potential to advance science policy capacity within state legislatures, where there is most often a shortage of professional backgrounds in the natural sciences, technology, engineering, and medicine. Developing such capacity at the state level should be considered a vital component of any comprehensive national scale strategy to strengthen science informed governance. Toward this goal, the Center for Science and Technology Policy Research at the University of Colorado Boulder is leading a strategic planning process for a Science and Technology Policy Fellowship Program within the Colorado state legislature and executive branch agencies. The intended program will place PhD-level scientists and engineers in one-year placements with decision-makers to provide an in-house resource for targeted policy-relevant research. Fellows will learn the intricacies of the state policymaking process, be exposed to opportunities for science to inform decisions, and develop a deeper understanding of key science and technology topics in Colorado, including water resources, wildfire management, and energy. The program's ultimate goals are to help foster a decision-making arena informed by evidence-based information, to develop new leaders adept at bridging science and policymaking realms, and to foster governance that champions the role of science in society. Parallel to efforts in Colorado, groups from nine other states are preparing similar plans, providing opportunities to share approaches across states and to set the stage for increased science and technology input to state legislative agendas nationwide. Importantly, highly successful and sustainable models exist; the American Association for the Advancement of Science (AAAS) has implemented a federally based fellowship program for over 43 years and the California Council for Science and Technology (CCST) has directed a fellowship program for their state's legislature since 2009. AAAS and CCST are now serving as critical and leading partners in creating similar programs across the U.S.

Where Did You Come From? Where Will You Go? Human Evolutionary Biology Education and American Students' Academic Interests and Achievements, Professional Goals, and Socioscientific Decision-making

NASA Astrophysics Data System (ADS)

Schrein, Caitlin M.

In the United States, there is a national agenda to increase the number of qualified science, technology, engineering, and maths (STEM) professionals and a movement to promote science literacy among the general public. This project explores the association between formal human evolutionary biology education (HEB) and high school science class enrollment, academic achievement, interest in a STEM degree program, motivation to pursue a STEM career, and socioscientific decision-making for a sample of students enrolled full-time at Arizona State University. Given a lack of a priori knowledge of these relationships, the Grounded Theory Method was used and was the foundation for a mixed-methods analysis involving qualitative and quantitative data from one-on-one interviews, focus groups, questionnaires, and an online survey. Theory development and hypothesis generation were based on data from 44 students. The survey instrument, developed to test the hypotheses, was completed by 486 undergraduates, age 18--22, who graduated from U.S. public high schools. The results showed that higher exposure to HEB was correlated with greater high school science class enrollment, particularly for advanced biological science classes, and that, for some students, HEB exposure may have influenced their enrollment, because the students found the content interesting and relevant. The results also suggested that students with higher K--12 HEB exposure felt more prepared for undergraduate science coursework. There was a positive correlation between HEB exposure and interest in a STEM degree and an indirect relationship between higher HEB exposure and motivation to pursue a STEM career. Regarding a number of socioscientific issues, including but not limited to climate change, homosexuality, and stem cell research, students' behaviors and decision-making more closely reflected a scientific viewpoint---or less-closely aligned to a religion-based perspective---when students had greater HEB exposure, but this was sometimes contingent on students' lifetime exposure to religious doctrine and acceptance of general evolution or human evolution. This study has implications for K--12 and higher education and justifies a paradigm shift in evolution education research, such that more emphasis is placed on students' interests, perceived preparation for continued learning, professional goals and potential contributions to society rather than just their knowledge and acceptance.

76 FR 13182 - Science Advisory Board Staff Office; Notification of a Public Meeting of the Science Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-10

... results of fact-finding activities conducted as part of a study of science integration supporting EPA... ENVIRONMENTAL PROTECTION AGENCY [FRL-9278-1] Science Advisory Board Staff Office; Notification of a Public Meeting of the Science Advisory Board Committee on Science Integration for Decision Making...

75 FR 9895 - Science Advisory Board Staff Office; Notification of a Public Meeting of the Science Advisory...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-04

... ENVIRONMENTAL PROTECTION AGENCY [FRL-9122-2] Science Advisory Board Staff Office; Notification of a Public Meeting of the Science Advisory Board; Committee on Science Integration for Decision Making... Agency (EPA or Agency) Science Advisory Board (SAB) Staff Office announces a public meeting of the SAB...

Couple decision making and use of cultural scripts in Malawi.

PubMed

Mbweza, Ellen; Norr, Kathleen F; McElmurry, Beverly

2008-01-01

To examine the decision-making processes of husband and wife dyads in matrilineal and patrilineal marriage traditions of Malawi in the areas of money, food, pregnancy, contraception, and sexual relations. Qualitative grounded theory using simultaneous interviews of 60 husbands and wives (30 couples). Data were analyzed according to the guidelines of simultaneous data collection and analysis. The analysis resulted in development of core categories and categories of decision-making process. Data matrixes were used to identify similarities and differences within couples and across cases. Most couples reported using a mix of final decision-making approaches: husband-dominated, wife-dominated, and shared. Gender based and nongender based cultural scripts provided rationales for their approaches to decision making. Gender based cultural scripts (husband-dominant and wife-dominant) were used to justify decision-making approaches. Non-gender based cultural scripts (communicating openly, maintaining harmony, and children's welfare) supported shared decision making. Gender based cultural scripts were used in decision making more often among couples from the district with a patrilineal marriage tradition and where the husband had less than secondary school education and was not formally employed. Nongender based cultural scripts to encourage shared decision making can be used in designing culturally tailored reproductive health interventions for couples. Nurses who work with women and families should be aware of the variations that occur in actual couple decision-making approaches. Shared decision making can be used to encourage the involvement of men in reproductive health programs.

Using fuzzy-trace theory to understand and improve health judgments, decisions, and behaviors: A literature review.

PubMed

Blalock, Susan J; Reyna, Valerie F

2016-08-01

Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with 3 aims: evaluating whether the theory's basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially compared to other approaches. We conducted a literature review using PubMed, PsycINFO, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Seventy nine studies (updated total is 94 studies; see Supplemental materials) were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, 4 sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Despite large gaps in the literature, most studies supported all 3 aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Ecology, Pollution, Environment.

ERIC Educational Resources Information Center

Turk, Amos; And Others

Elements of environmental science and how the science is related to the more traditionally established disciplines are explored in this supplementary text. Two aspects of environmental science are considered--subject matter and decision making. Relevant background material in the physical sciences is presented under the following topics: ecology,…

Decision Making in Nursing Practice: A Concept Analysis.

PubMed

Johansen, Mary L; O'Brien, Janice L

2016-01-01

The study aims to gain an understanding of the concept of decision making as it relates to the nurse practice environment. Rodgers' evolutionary method on concept analysis was used as a framework for the study of the concept. Articles from 1952 to 2014 were reviewed from PsycINFO, Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), JSTOR, PubMed, and Science Direct. Findings suggest that decision making in the nurse practice environment is a complex process, integral to the nursing profession. The definition of decision making, and the attributes, antecedents, and consequences, are discussed. Contextual factors that influence the process are also discussed. An exemplar is presented to illustrate the concept. Decision making in the nurse practice environment is a dynamic conceptual process that may affect patient outcomes. Nurses need to call upon ways of knowing to make sound decisions and should be self-reflective in order to develop the process further in the professional arena. The need for further research is discussed. © 2015 Wiley Periodicals, Inc.

Incorporating BDI Agents into Human-Agent Decision Making Research

NASA Astrophysics Data System (ADS)

Kamphorst, Bart; van Wissen, Arlette; Dignum, Virginia

Artificial agents, people, institutes and societies all have the ability to make decisions. Decision making as a research area therefore involves a broad spectrum of sciences, ranging from Artificial Intelligence to economics to psychology. The Colored Trails (CT) framework is designed to aid researchers in all fields in examining decision making processes. It is developed both to study interaction between multiple actors (humans or software agents) in a dynamic environment, and to study and model the decision making of these actors. However, agents in the current implementation of CT lack the explanatory power to help understand the reasoning processes involved in decision making. The BDI paradigm that has been proposed in the agent research area to describe rational agents, enables the specification of agents that reason in abstract concepts such as beliefs, goals, plans and events. In this paper, we present CTAPL: an extension to CT that allows BDI software agents that are written in the practical agent programming language 2APL to reason about and interact with a CT environment.

Argumentation, critical thinking, nature of science and socioscientific issues: a dialogue between two researchers

NASA Astrophysics Data System (ADS)

Yacoubian, Hagop A.; Khishfe, Rola

2018-05-01

The purpose of this paper is to compare and contrast between two theoretical frameworks for addressing nature of science (NOS) and socioscientific issues (SSI) in school science. These frameworks are critical thinking (CT) and argumentation (AR). For the past years, the first and second authors of this paper have pursued research in this area using CT and AR as theoretical frameworks, respectively. Yacoubian argues that future citizens need to develop a critical mindset as they are guided to (1) practice making judgments on what views of NOS to acquire and (2) practice making decisions on SSI through applying their NOS understandings. Khishfe asserts that AR is an important component of decision making when dealing with SSI and the practice in AR in relation to controversial issues is needed for informed decision making. She argues that AR as a framework may assist in the development of more informed understandings of NOS. In this paper, the authors delve into a dialogue for (1) elucidating strengths and potential of each framework, (2) highlighting challenges that they face in their research using the frameworks in question, (3) exploring the extent to which the frameworks can overlap, and (4) proposing directions for future research.

Towards evidence-based critical thinking medicine? Uses of best evidence in flawless argumentations.

PubMed

Jenicek, Milos

2006-08-01

Uses of informal logic and critical thinking methodology are increasingly taught, learnt and advantageously applied in such diverse domains as law, the military, business, and education. Health sciences are also following this trend. However, production and critical appraisal of evidence as already practiced in Evidence-Based Medicine must be coupled with equally rigorous uses in order to ensure appropriate health problem understanding and decision-making. Making most proposals and decisions in medicine is the conclusion of an argumentation process that lies behind any communication between health professionals working with patients, performing research or sharing ideas about health problems, their interpretations and solutions with numerous stakeholders in public life. Modern critical thinking and decision making in medicine is not instantly mastered, but is instead a learnt experience as anything else in professional and social interactions. The modern argument as outlined, illustrated and applied to health problems in this essay is an extension of a previously established way of thinking in Evidence-Based Medicine. Ideally, health professionals, their patients and all other stakeholders should speak the same language and it is up to us to make this possible. Evidence and critical thinking - based medicine might be a solution. As modern critical thinkers, we are at the forefront and we must see to it that patients and professional and general communities benefit from this more so even than from other remarkable historical and current contributions to the well-being of those under our care.

From molecule to market access: drug regulatory science as an upcoming discipline.

PubMed

Gispen-de Wied, Christine C; Leufkens, Hubertus G M

2013-11-05

Regulatory science as a discipline has evolved over the past years with the object to boost and promote scientific rationale behind benefit/risk and decision making by regulatory authorities. The European Medicines Agency, EMA, the Food and Drug Administration, FDA, and the Japanese Pharmaceutical and Medical Devices Agency, PMDA, highlighted in their distinct ways the importance of regulatory science as a basis of good quality assessment in their strategic plans. The Medicines Evaluation Board, MEB, states: 'regulatory science is the science of developing and validating new standards and tools to evaluate and assess the benefit/risk of medicinal products, facilitating sound and transparent regulatory decision making'. Through analysis of regulatory frameworks itself and their effectiveness, however, regulatory science can also advance knowledge of these systems in general. The comprehensive guidance that is issued to complete an application dossier for regulatory product approval has seldomly been scrutinized for its efficiency. Since it is the task of regulatory authorities to protect and promote public health, it is understood that they take a cautious approach in regulating drugs prior to market access. In general, the authorities are among the first to be blamed if dangerous or useless drugs were allowed to the market. Yet, building a regulatory framework that is not challenged continuously in terms of deliverables for public health and cost-effectiveness, might be counterproductive in the end. Regulatory science and research can help understand how and why regulatory decisions are made, and where renewed discussions may be warranted. The MEB supports regulatory science as an R&D activity to fuel primary regulatory processes on product evaluation and vigilance, but also invests in a 'looking into the mirror' approach. Along the line of the drug life-cycle, publicly available data are reviewed and their regulatory impact highlighted. If made explicit, regulatory research can open the door to evidence based regulatory practice and serve the regulator's contribution to innovative drug licensing today. Copyright © 2013 Elsevier B.V. All rights reserved.

Decision Support Systems and the Conflict Model of Decision Making: A Stimulus for New Computer-Assisted Careers Guidance Systems.

ERIC Educational Resources Information Center

Ballantine, R. Malcolm

Decision Support Systems (DSSs) are computer-based decision aids to use when making decisions which are partially amenable to rational decision-making procedures but contain elements where intuitive judgment is an essential component. In such situations, DSSs are used to improve the quality of decision-making. The DSS approach is based on Simon's…

Advancing research collaborations among agencies through the Interagency Arctic Research Policy Committee: A necessary step for linking science to policy.

NASA Astrophysics Data System (ADS)

LaValley, M.; Starkweather, S.; Bowden, S.

2017-12-01

The Arctic is changing rapidly as average temperatures rise. As an Arctic nation, the United States is directly affected by these changes. It is imperative that these changes be understood to make effective policy decisions. Since the research needs of the Arctic are large and wide-ranging, most Federal agencies fund some aspect of Arctic research. As a result, the U.S. government regularly works to coordinate Federal Arctic research in order to reduce duplication of effort and costs, and to enhance the research's system perspective. The government's Interagency Arctic Research Policy Committee (IARPC) accomplishes this coordination through its policy-driven five-year Arctic Research Plans and collaboration teams (CTs), which are research topic-oriented teams tasked with implementing the plans. The policies put forth by IARPC thus inform science, however IARPC has been less successful of making these science outcomes part of an iterative decision making process. IARPC's mandate to facilitate coordinated research through information sharing communities can be viewed a prerequisite step in the science-to- decision making process. Research collaborations and the communities of practice facilitated by IARPC allow scientists to connect with a wider community of scientists and stakeholders and, in turn, the larger issues in need of policy solutions. These connections help to create a pathway through which research may increasingly reflect policy goals and inform decisions. IARPC has been growing into a more useful model for the science-to-decision making interface since the publication of its Arctic Research Plan FY2017-2021, and it is useful to evaluate how and why IARPC is progressing in this realm. To understand the challenges facing interagency research collaboration and the progress IARPC has made, the Chukchi Beaufort and Communities CTs, were evaluated as case studies. From the case studies, several recommendations for enhancing collaborations across Federal agencies emerge, including establishing appropriate agency leadership; determining focused and achievable scope of team goals; providing room for bottom-up, community-driven determination of goals; and finally, building relationships and creating an inclusive team environment.

Developing and Transitioning Numerical Air Quality Models to Improve Air Quality and Public Health Decision-Making in El Salvador and Costa Rica As Part of the Servir Applied Sciences Team

NASA Astrophysics Data System (ADS)

Thomas, A.; Huff, A. K.; Gomori, S. G.; Sadoff, N.

2014-12-01

In order to enhance the capacity for air quality modeling and improve air quality monitoring and management in the SERVIR Mesoamerica region, members of SERVIR's Applied Sciences Team (AST) are developing national numerical air quality models for El Salvador and Costa Rica. We are working with stakeholders from the El Salvador Ministry of the Environment and Natural Resources (MARN); National University of Costa Rica (UNA); the Costa Rica Ministry of the Environment, Energy, and Telecommunications (MINAET); and Costa Rica National Meteorological Institute (IMN), who are leaders in air quality monitoring and management in the Mesoamerica region. Focusing initially on these institutions will build sustainability in regional modeling activities by developing air quality modeling capability that can be shared with other countries in Mesoamerica. The air quality models are based on the Community Multi-scale Air Quality (CMAQ) model and incorporate meteorological inputs from the Weather Research and Forecasting (WRF) model, as well as national emissions inventories from El Salvador and Costa Rica. The models are being optimized for urban air quality, which is a priority of decision-makers in Mesoamerica. Once experimental versions of the modeling systems are complete, they will be transitioned to servers run by stakeholders in El Salvador and Costa Rica. The numerical air quality models will provide decision support for stakeholders to identify 1) high-priority areas for expanding national ambient air monitoring networks, 2) needed revisions to national air quality regulations, and 3) gaps in national emissions inventories. This project illustrates SERVIR's goal of the transition of science to support decision-making through capacity building in Mesoamerica, and it aligns with the Group on Earth Observations' health societal benefit theme. This presentation will describe technical aspects of the development of the models and outline key steps in our successful collaboration with the Mesoamerican stakeholders, including the processes of identifying and engaging decision-makers, understanding their requirements and limitations, communicating status updates on a regular basis, and providing sufficient training for end users to be able to utilize the models in a decision-making context.

Rationality versus reality: the challenges of evidence-based decision making for health policy makers

PubMed Central

2010-01-01

Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357

Rationality versus reality: the challenges of evidence-based decision making for health policy makers.

PubMed

McCaughey, Deirdre; Bruning, Nealia S

2010-05-26

Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.

Creating Actionable Data from an Optical Depth Measurement Network using RDF

NASA Astrophysics Data System (ADS)

Freemantle, J. R.; O'Neill, N. T.; Lumb, L. I.; Abboud, I.; McArthur, B.

2010-12-01

The AEROCAN sunphotometery network has, for more than a decade, generated optical indicators of aerosol concentration and size on a regional and national scale. We believe this optical information can be rendered more “actionable” to the health care community by developing a technical and interpretative information-sharing geospatial strategy with that community. By actionable data we mean information that is presented in manner that can be understood and then used in the decision making process. The decision may be that of a technical professional, a policy maker or a machine. The information leading up to a decision may come from many sources; this means it is particularly important that data are well defined across knowledge fields, in our case atmospheric science and respiratory health science. As part of the AEROCAN operational quality assurance (QA) methodology we have written automatic procedures to make some of the AEROCAN data more accessible or “actionable”. Tim Berners-Lee has advocated making datasets, “Linked Data”, available on the web with a proper structural description (metadata). We have been using RDF (Resource Description Framework) to enhance the utility of our sunphotometer data; the resulting self-describing representation is structured so that it is machine readable. This allows semantically based queries (e.g., via SPARQL) on our dataset that in the past were only viewable as passive Web tables of data.

Understanding social influences on wilderness fire stewardship decisions

Treesearch

Katie Knotek

2006-01-01

Federal land managers and the public engage in many decisions about stewardship of wilderness in the United States, including decisions about stewardship of fire. To date, social science research lacks a holistic examination of the decision-making context of managers and the public about stewardship of fire inside wilderness and across its boundaries. A conceptual...

Using Astrobiology case studies to bring science decision making into the classroom: Mars sample return, exobiology and SETI

NASA Astrophysics Data System (ADS)

Race, Margaret

As citizens and decision makers of the future, today's students need to understand the nature of science and the implications of scientific discoveries and activities in a broad societal context. Astrobiology provides an opportunity to introduce students to real world decision-making involving cutting edge, multidisciplinary research topics that involve Earth, the solar system and beyond. Although textbooks and curricular materials may take years to develop, teachers can easily bring the latest astrobiological discoveries and hypotheses into the classroom in the form of case studies to complement science classes. For example, using basic biological, geological and chemical information from Earth and other planets, students can discuss the same questions that experts consider when planning a Mars Sample Return mission. How would you recognize extraterrestrial life? What would be the impact of bringing martian life to Earth? How should martian samples be handled and tested to determine whether they pose hazards to Earth's biota and ecosystems? If truly martian life exists, what are the implications for future human missions or colonies on the planet? What are the ethical and societal implications of discovering extraterrestrial life, whether in the solar system or beyond? What difference world it make if the extraterrestrial life is microbial and simple vs. intelligent and advanced? By integrating basic science concepts, up-to-date research findings, and information about laws, societal concerns, and public decision making, students can experience first-hand the kind of questions and challenges we're likely to face in the years ahead.

Gendered negotiations for research participation in community-based studies: implications for health research policy and practice

PubMed Central

Kamuya, Dorcas M; Molyneux, Catherine, S; Theobald, Sally

2017-01-01

There is a growing literature documenting the complex realities of consent processes in the field, and the negotiations and ethical dilemmas involved. Much has also been written about how gender and power shape household decision-making processes. However, these bodies of literature have rarely been brought together to inform research theory and practice in low-income settings. In this paper, qualitative research (observation, focus group discussions and interviews) were used alongside large clinical community-based studies conducted on the Kenyan Coast to explore how gender and power relations within households and communities and between fieldworkers and communities shape consent processes and interactions. This exploration is embedded in relevant literature and the implications for community-based health research policy and practice are considered. Across diverse forms of households, we observed significant consultation on whether or not to participate in research. Although men are typically described as household decision-makers, in practice, decision-making processes are often far more nuanced, with many women using their agency to control, sometimes subtly, the decisions made. Where decisions are made without adequately consulting women, many find strategies to exercise their choice, in ways that safeguard important relationships within households in the longer term. We also found that the gender of field staff who typically conduct research activities in the field, including consent processes, can influence household dynamics and decision-making processes with important implications for the science and ethics of research. It is essential that frontline field staff and their supervisors are aware of the complex and gendered realities of consent processes at household level, and their implications, and that they develop appropriate context-informed approaches that support ethical practice. PMID:29225935

Ethical, legal, and social issues: our children's future.

PubMed

Gilbert, Steven G

2005-08-01

A convergence of issues suggests that protecting child health is not so much a matter of research, but rather a matter of policy and advocacy. First, we have well-articulated views of a vision for child health. Second, we have experience and toxicological research findings demonstrating the adverse health effects of hazardous chemicals on children and recognize that children are more sensitive than adults to chemical exposures. Results from toxicology research have motivated many regulatory and legal actions, and public policy decisions, including the banning of some pesticides, reducing exposures in the workplace, and lowering of acceptable blood lead levels in children. We also know that childhood disabilities from chemical exposure during developmental are often not treatable and therefore must be prevented. Finally, we have an increasingly well-defined framework for discussing social and ethical responsibility to our children. New discoveries in the basic biological and toxicological sciences have challenged our bioethical thinking and societal decision-making. This paper will explore the ethical, legal, and social issues raised by the toxicological sciences first by examining some hard lesson learned about childhood effects of chemicals and then by examining the difficult policy and research decisions that must be made as we address our need for additional information about the health effects of chemicals on adults and children and the impact of having this information. The precautionary principle will be considered as an alternative decision-making approach as well as exploring the concept of the citizen toxicologist (CT). As Garrett Hardin pointed out many years ago, the problems we face often have no technical solutions, but rather require a policy-based approach. This paper will be of interest to the public and health professionals concerned about the broader impact of toxicological research on bioethical and societal decision-making.

Novice High School Science Teachers: Lesson Plan Adaptations

ERIC Educational Resources Information Center

Scharon, Aracelis Janelle

2013-01-01

The Next Generation Science Standards (NRC, 2013) positions teachers as responsible for necessary decision making about how their intended science lesson plan content supports continuous student science learning. Teachers interact with their instructional lesson plans in dynamic and constructive ways. Adapting lesson plans is complex. This process…

Reinvigorating the role of science in democracy.

PubMed

Rosenberg, Andrew A; Halpern, Michael; Shulman, Seth; Wexler, Celia; Phartiyal, Pallavi

2013-01-01

Private and political interests routinely conspire to sideline and misrepresent science and evidence in the public policy process. The Center for Science and Democracy, a new initiative at the Union of Concerned Scientists, endeavors to change this dynamic to strengthen the role of science in decision making.

Improved Management of Water and Natural Resources Requires Open, Cognizant, Adaptive Science and Policy

NASA Astrophysics Data System (ADS)

Glynn, P. D.; Voinov, A. A.; Shapiro, C. D.; Jenni, K. E.

2017-12-01

Water issues impact the availability and use of other natural resources as well as environmental conditions. In an increasingly populated hyper-connected world, water issues are increasingly "wicked problems": complex problems with high uncertainties and no independent observers. Water is essential to life, and life affects water quality and availability. Scientists, managers, decision-makers, and the greater public all have a stake in improving the management of water resources. In turn, they are part of the systems that they are studying, deciding on, affecting, or trying to improve. Governance of water issues requires greater accessibility, traceability, and accountability (ATA) in science and policy. Water-related studies and decision-making need transdisciplinary science, inclusive participatory processes, and consideration and acceptance of multiple perspectives. Biases, Beliefs, Heuristics, and Values (BBHV) shape much of our perceptions and knowledge, and inevitably, affect both science and policy. Understanding the role of BBHV is critical to (1) understanding individual and group judgments and choices, (2) recognizing potential differences between societal "wants" and societal "needs", and (3) identifying "winners" and "losers" of policy decisions. Societal acceptance of proposed policies and actions can be fostered by enhancing participatory processes and by providing greater ATA in science, in policy, and in development of the laws, rules, and traditions that constrain decision-making. An adaptive science-infused governance framework is proposed that seeks greater cognizance of the role of BBHV in shaping science and policy choices and decisions, and that also seeks "Open Traceable Accountable Policy" to complement "Open Science". We discuss the limitations of the governance that we suggest, as well as tools and approaches to help implementation.

Bridging the Gap Between NASA Earth Observations and Decision Makers Through the NASA Develop National Program

NASA Astrophysics Data System (ADS)

Remillard, C. M.; Madden, M.; Favors, J.; Childs-Gleason, L.; Ross, K. W.; Rogers, L.; Ruiz, M. L.

2016-06-01

The NASA DEVELOP National Program bridges the gap between NASA Earth Science and society by building capacity in both participants and partner organizations that collaborate to conduct projects. These rapid feasibility projects highlight the capabilities of satellite and aerial Earth observations. Immersion of decision and policy makers in these feasibility projects increases awareness of the capabilities of Earth observations and contributes to the tools and resources available to support enhanced decision making. This paper will present the DEVELOP model, best practices, and two case studies, the Colombia Ecological Forecasting project and the Miami-Dade County Ecological Forecasting project, that showcase the successful adoption of tools and methods for decision making. Through over 90 projects each year, DEVELOP is always striving for the innovative, practical, and beneficial use of NASA Earth science data.

Enabling Responsible Energy Decisions: What People Know, Want to Know, and Need to Know about Climate Change

NASA Astrophysics Data System (ADS)

PytlikZillig, L. M.; Tomkins, A. J.; Harrington, J. A.

2012-12-01

As part of a broader regional effort focused on climate change education and rural communities, this paper focuses on a specific effort to understand effective approaches to two presumably complementary goals: The goal of increasing knowledge about climate change and climate science in a community, and the goal of having communities use climate change and climate science information when making decisions. In this paper, we explore the argument that people do not need or want to know about climate change, in order to make responsible and sustainable energy decisions. Furthermore, we hypothesize that involvement in making responsible and sustainable energy decisions will increase openness and readiness to process climate science information, and thus increase learning about climate change in subsequent exposures to such information. Support for these hypotheses would suggest that rather than encouraging education to enable action (including engagement in attempts to make responsible decisions), efforts should focus on encouraging actions first and education second. To investigate our hypotheses, we will analyze and report results from efforts to engage residents from a medium-sized Midwestern city to give input on future programs involving sustainable energy use. The engagement process (which will not be complete until after the AGU deadline) involves an online survey and an optional face-to-face discussion with city officials and experts in energy-related areas. The online survey includes brief information about current local energy programs, questions assessing knowledge of climate change, and an open-ended question asking what additional information residents need in order to make good decisions and recommendations concerning the energy programs. To examine support for our hypotheses, we will report (1) relationships between subjective and objective knowledge of climate science and willingness to attend the face-to-face discussion about the city's energy decisions and actual attendance at the event, (2) a content analysis of what residents say they want and need to know in order to make decisions and recommendations about the city's energy programs, and (3) pilot results from a comparison of learning from a reading about climate change presented prior to the event, after the event, or presented to those who were willing to attend the face-to-face event but did not attend. We will discuss the results in terms of their implications for the relationship between knowledge and behavior, versus change in knowledge and change in behavior.

Students' Use of Decision-Making Strategies with Regard to Socioscientific Issues: An Application of the Rasch Partial Credit Model

ERIC Educational Resources Information Center

Eggert, Sabina; Bogeholz, Susanne

2010-01-01

Decision making about socioscientific issues is an important aspect of modern science education worldwide. Among the many topics that represent socioscientific issues, issues relating to the sustainable development of our environment are one crucial topic. However, difficulties exist with respect to the assessment of teaching outcomes related to…

Global and Long-Distance Decision-Making, Environmental Issues and Network Potentials.

ERIC Educational Resources Information Center

Samuelson, K.; And Others

FID/TM, an international group concerned with theory and methods of systems cybernetics and information networks, held a panel session at the 34th Annual American Society for Information Science (ASIS) Meeting in November 1971. This report contains the seven papers presented by that panel, concerning issues in global decision-making and the role…

U.S. Army Research Laboratory 2010 Annual Review

DTIC Science & Technology

2010-12-01

Translation Between Scales battlefield neuroscience Neuro-Cognitive Measurement Cognitive/Information – Decision Making Neurally Inspired Systems...the areas of Bioscience, Neuroscience , Network Science of Decision Making, Nanoscience, GaN High Power Electronics, Power for Microsystems, Graphene...source project POF, and NSA Trickler have also demonstrated that networks can be understood through passive observation of traffic as it exits a

Decision-Making Behavioral Change in Students Connected With Their Participation in a First Theoretical Management Course.

ERIC Educational Resources Information Center

Badley, Tommy D.

The educational discipline of Management is an inexact science. Because of the difficulty in measuring the effects of the academic study of Management on decision-making and related behaviors, a commercial instrument, the "How Supervise?" questionnaire, was tested as a possible means of measuring "before and after treatment" behaviors. The…

Effective Decision Maker-Scientist Engagement:Climate Change Vulnerability Analysis of California's Water System to Using Decision Scaling.

NASA Astrophysics Data System (ADS)

Schwarz, A. M.; Ray, P.; Brown, C.; Wi, S.

2016-12-01

For nearly 2 years the California Department of Water Resources (CDWR) has been working with the University of Massachusetts Amherst (UMass) to evaluate climate change vulnerabilities to the California State Water Project. Working cooperatively, the team has developed tools and methods to employ a decision scaling approach to CDWR's existing water system model (CalSim-II/CalLite 3.0). This presentation will discuss how and why this partnership came to be, the co-production model the team has developed to share expertise, the new understanding of the system that has been gained through the process, and current and future efforts to influence planning and investments based on the findings of the work. This cooperative decision-maker-with-scientist engagement is unique in that CDWR has not outsourced the application of the science to their systems, and instead has worked directly with UMass researchers to develop the process, produce results, and interpret findings. Further, CDWR staff has worked with UMass researchers to present results in ways that are more useable and actionable for decision-makers. As will be shown, many of these graphics allow the team to use the science differently to improve decision making.

Data-Based Decision-Making: Developing a Method for Capturing Teachers' Understanding of CBM Graphs

ERIC Educational Resources Information Center

Espin, Christine A.; Wayman, Miya Miura; Deno, Stanley L.; McMaster, Kristen L.; de Rooij, Mark

2017-01-01

In this special issue, we explore the decision-making aspect of "data-based decision-making". The articles in the issue address a wide range of research questions, designs, methods, and analyses, but all focus on data-based decision-making for students with learning difficulties. In this first article, we introduce the topic of…

Risk-Based Decision Making in a Scientific Issue: A Study of Teachers Discussing a Dilemma through a Microworld

ERIC Educational Resources Information Center

Levinson, Ralph; Kent, Phillip; Pratt, David; Kapadia, Ramesh; Yogui, Cristina

2012-01-01

Risk has now become a feature of science curricula in many industrialized countries. While risk is conceptualized within a number of different theoretical frameworks, the predominant model used in examination specifications is a utility model in which risk calculations are deemed to be objective through technical expert assessment and where the…

Fuels planning: science synthesis and integration; economic uses fact sheet 04: My Fuel Treatment Planner

Treesearch

Rocky Mountain Research Station USDA Forest Service

2004-01-01

In the face of rapidly changing public and political attitudes toward fire and fuel planning, one thing remains constant: the fuel planner is ultimately responsible for making decisions on the land. This fact sheet discusses the options for fuel treatments, and the need, development, and use of the MS Excel-based tool, My Fuel Treatment Planner.

Fuels planning: science synthesis and integration; social issues fact sheet 13: Strategies for managing fuels and visual quality

Treesearch

Christine Esposito

2006-01-01

The public's acceptance of forest management practices, including fuels reduction, is heavily based on how forests look. Fuels managers can improve their chances of success by considering aesthetics when making management decisions. This fact sheet reviews a three-part general strategy for managing fuels and visual quality: planning, implementation, and monitoring...

Why Don't Young People Want to become Engineers? Rational Reasons for Disappointing Decisions

ERIC Educational Resources Information Center

Becker, Frank Stefan

2010-01-01

The quest for engineers during the past boom and predictions of future shortages have focused attention on the low enrolment figures in science and technology (S&T) subjects. Normally, it is assumed that young people shy away from "tough majors" or make irrational choices, based on an absence of information. While not denying the…

Understanding decisions Latino students make regarding persistence in the science and math pipeline

NASA Astrophysics Data System (ADS)

Munro, Janet Lynn

This qualitative study focused on the knowledge and perceptions of Latino high school students, as well those of their parents and school personnel, at a southwestern, suburban high school regarding persistence in the math/science pipeline. In the context of the unique school and community setting these students experience, the decision-making process was examined with particular focus on characterizing the relationships that influence the process. While the theoretical framework that informs this study was that of social capital, its primary purpose was to inform the school's processes and policy in support of increased Latino participation in the math and science pipeline. Since course selection may be the most powerful factor affecting school achievement and college-preparedness, and since course selection is influenced by school policy, school personnel, students, parents, and teachers alike, it is important to understand the beliefs and perceptions that characterize the relationships among them. The qualitative research design involved a phenomenological study of nine Latino students, their parents, their teachers and counselors, and certain support personnel from the high school. The school's and community's environment in support of academic intensity served as context for the portrait that developed. Given rapidly changing demographics that bring more and more Latino students to suburban high schools, the persistent achievement gap experienced by Latino students, and the growing dependence of the world economy on a citizenry versed in the math- and science-related fields, a deeper understanding of the decision-making processes Latino 12 students experience can inform school policy as educators struggle to influence those decisions. This study revealed a striking lack of knowledge concerning the college-entrance ramifications of continued course work in math and science beyond that required for graduation, relationships among peers, parents, and school personnel that were markedly lacking in influence over the decision a student makes to continue, or not, course work beyond that required for graduation, and a general dismissal of the value of math- and science-related careers. Also lacking was any evidence of social capital within parental networks that reflected intergenerational closure.

Helping patients make better decisions: how to apply behavioral economics in clinical practice

PubMed Central

Courtney, Maureen Reni; Spivey, Christy; Daniel, Kathy M

2014-01-01

Clinicians are committed to effectively educating patients and helping them to make sound decisions concerning their own health care. However, how do clinicians determine what is effective education? How do they present information clearly and in a manner that patients understand and can use to make informed decisions? Behavioral economics (BE) is a subfield of economics that can assist clinicians to better understand how individuals actually make decisions. BE research can help guide interactions with patients so that information is presented and discussed in a more deliberate and impactful way. We can be more effective providers of care when we understand the factors that influence how our patients make decisions, factors of which we may have been largely unaware. BE research that focuses on health care and medical decision making is becoming more widely known, and what has been reported suggests that BE interventions can be effective in the medical realm. The purpose of this article is to provide clinicians with an overview of BE decision science and derived practice strategies to promote more effective behavior change in patients. PMID:25378915

Exploring the Functioning of Decision Space: A Review of the Available Health Systems Literature

PubMed Central

Roman, Tamlyn Eslie; Cleary, Susan; McIntyre, Diane

2017-01-01

Background: The concept of decision space holds appeal as an approach to disaggregating the elements that may influence decision-making in decentralized systems. This narrative review aims to explore the functioning of decision space and the factors that influence decision space. Methods: A narrative review of the literature was conducted with searches of online databases and academic journals including PubMed Central, Emerald, Wiley, Science Direct, JSTOR, and Sage. The articles were included in the review based on the criteria that they provided insight into the functioning of decision space either through the explicit application of or reference to decision space, or implicitly through discussion of decision-making related to organizational capacity or accountability mechanisms. Results: The articles included in the review encompass literature related to decentralisation, management and decision space. The majority of the studies utilise qualitative methodologies to assess accountability mechanisms, organisational capacities such as finance, human resources and management, and the extent of decision space. Of the 138 articles retrieved, 76 articles were included in the final review. Conclusion: The literature supports Bossert’s conceptualization of decision space as being related to organizational capacities and accountability mechanisms. These functions influence the decision space available within decentralized systems. The exact relationship between decision space and financial and human resource capacities needs to be explored in greater detail to determine the potential influence on system functioning. PMID:28812832

Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review.

PubMed

Symmank, Claudia; Mai, Robert; Hoffmann, Stefan; Stok, F Marijn; Renner, Britta; Lien, Nanna; Rohm, Harald

2017-03-01

The number of publications on consumer food decision making and its predictors and correlates has been steadily increasing over the last three decades. Given that different scientific disciplines illuminate this topic from different perspectives, it is necessary to develop an interdisciplinary overview. The aim of this study is to conduct a systematic interdisciplinary mapping (SIM) review by using rapid review techniques to explore the state-of-the-art, and to identify hot topics and research gaps in this field. This interdisciplinary review includes 1,820 publications in 485 different journals and other types of publications from more than ten disciplines (including nutritional science, medicine/health science, psychology, food science and technology, business research, etc.) across a period of 60 years. The identified predictors of food decision making were categorized in line with the recently proposed DONE (Determinants Of Nutrition and Eating behavior) framework. After applying qualitative and quantitative analyses, this study reveals that most of the research emphasizes biological, psychological, and product-related predictors, whereas policy-related influences on food choice are scarcely considered. Copyright © 2016 Elsevier Ltd. All rights reserved.

Advancing Alternative Analysis: Integration of Decision Science.

PubMed

Malloy, Timothy F; Zaunbrecher, Virginia M; Batteate, Christina M; Blake, Ann; Carroll, William F; Corbett, Charles J; Hansen, Steffen Foss; Lempert, Robert J; Linkov, Igor; McFadden, Roger; Moran, Kelly D; Olivetti, Elsa; Ostrom, Nancy K; Romero, Michelle; Schoenung, Julie M; Seager, Thomas P; Sinsheimer, Peter; Thayer, Kristina A

2017-06-13

Decision analysis-a systematic approach to solving complex problems-offers tools and frameworks to support decision making that are increasingly being applied to environmental challenges. Alternatives analysis is a method used in regulation and product design to identify, compare, and evaluate the safety and viability of potential substitutes for hazardous chemicals. We assessed whether decision science may assist the alternatives analysis decision maker in comparing alternatives across a range of metrics. A workshop was convened that included representatives from government, academia, business, and civil society and included experts in toxicology, decision science, alternatives assessment, engineering, and law and policy. Participants were divided into two groups and were prompted with targeted questions. Throughout the workshop, the groups periodically came together in plenary sessions to reflect on other groups' findings. We concluded that the further incorporation of decision science into alternatives analysis would advance the ability of companies and regulators to select alternatives to harmful ingredients and would also advance the science of decision analysis. We advance four recommendations: a ) engaging the systematic development and evaluation of decision approaches and tools; b ) using case studies to advance the integration of decision analysis into alternatives analysis; c ) supporting transdisciplinary research; and d ) supporting education and outreach efforts. https://doi.org/10.1289/EHP483.