Science and Decisions: Advancing Risk Assessment (NAS Final Report)

EPA Science Inventory

In August 2009, the Committee on Improving Risk Analysis Approaches Used by the U.S. EPA, National Research Council released a final report, requested and sponsored by the EPA, entitled Science and Decisions: Advancing Risk Assessment 2009.

A Decision Support Framework For Science-Based, Multi-Stakeholder Deliberation: A Coral Reef Example

EPA Science Inventory

We present a decision support framework for science-based assessment and multi-stakeholder deliberation. The framework consists of two parts: a DPSIR (Drivers-Pressures-States-Impacts-Responses) analysis to identify the important causal relationships among anthropogenic environ...

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.

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.

Decision fatigue: A conceptual analysis.

PubMed

Pignatiello, Grant A; Martin, Richard J; Hickman, Ronald L

2018-03-01

Decision fatigue is an applicable concept to healthcare psychology. Due to a lack of conceptual clarity, we present a concept analysis of decision fatigue. A search of the term "decision fatigue" was conducted across seven research databases, which yielded 17 relevant articles. The authors identified three antecedent themes (decisional, self-regulatory, and situational) and three attributional themes (behavioral, cognitive, and physiological) of decision fatigue. However, the extant literature failed to adequately describe consequences of decision fatigue. This concept analysis provides needed conceptual clarity for decision fatigue, a concept possessing relevance to nursing and allied health sciences.

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…

Decision Support Framework Implementation Of The Web-Based Environmental Decision Analysis DASEES: Decision Analysis For A Sustainable Environment, Economy, And Society

EPA Science Inventory

Solutions to pervasive environmental problems often are not amenable to a straightforward application of science-based actions. These problems encompass large-scale environmental policy questions where environmental concerns, economic constraints, and societal values conflict ca...

78 FR 45992 - National Science and Technology Council; Notice of Meeting: Open Meeting of the National Science...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-07-30

..., and the general public; analysis of the role of comparative risk assessment in these evaluations, including decision analysis tools and gap analysis tools; identification, through case study presentations...

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.

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.

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.

Tackling the Dilemma of the Science-Policy Interface in Environmental Policy Analysis

ERIC Educational Resources Information Center

Cimorelli, Alan J.; Stahl, Cynthia H.

2005-01-01

Scientifically derived environmental indicators are central to environmental decision analysis. This article examines the interface between science (environmental indicators) and policy, and the dilemma of their integration. In the past, science has been shown to dominate many policy debates, usually with unfavorable results. The issue, therefore,…

Decision modeling for fire incident analysis

Treesearch

Donald G. MacGregor; Armando González-Cabán

2009-01-01

This paper reports on methods for representing and modeling fire incidents based on concepts and models from the decision and risk sciences. A set of modeling techniques are used to characterize key fire management decision processes and provide a basis for incident analysis. The results of these methods can be used to provide insights into the structure of fire...

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.

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

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.

The Wildland Fire Decision Support System: Integrating science, technology, and fire management

Treesearch

Morgan Pence; Tom Zimmerman

2011-01-01

Federal agency policy requires documentation and analysis of all wildland fire response decisions. In the past, planning and decision documentation for fires were completed using multiple unconnected processes, yielding many limitations. In response, interagency fire management executives chartered the development of the Wildland Fire Decision Support System (WFDSS)....

Integrated Energy Solutions Research | Integrated Energy Solutions | NREL

Science.gov Websites

that spans the height and width of the wall they are facing. Decision Science and Informatics Enabling decision makers with rigorous, technology-neutral, data-backed decision support to maximize the impact of security in energy systems through analysis, decision support, advanced energy technology development, and

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

Decision science: a scientific approach to enhance public health budgeting.

PubMed

Honoré, Peggy A; Fos, Peter J; Smith, Torney; Riley, Michael; Kramarz, Kim

2010-01-01

The allocation of resources for public health programming is a complicated and daunting responsibility. Financial decision-making processes within public health agencies are especially difficult when not supported with techniques for prioritizing and ranking alternatives. This article presents a case study of a decision analysis software model that was applied to the process of identifying funding priorities for public health services in the Spokane Regional Health District. Results on the use of this decision support system provide insights into how decision science models, which have been used for decades in business and industry, can be successfully applied to public health budgeting as a means of strengthening agency financial management processes.

The application of natural science data to land management decision-making

NASA Technical Reports Server (NTRS)

Williams, D. L.; Sharpe, C. P.; Rowe, P. G.

1974-01-01

A natural environmental analysis process which allows the decision maker to know the probable consequences of a decision prior to the act is developed. Emphasis is placed on the fit between the natural environment and the social, economic, and functional attributes of man's communities and the transition from nature in its present state to various forms and intensities of development. Applications of the analysis are examined. It is concluded that the analysis is a workable system for land use management.

16 CFR 1000.25 - Office of Hazard Identification and Reduction.

Code of Federal Regulations, 2014 CFR

2014-01-01

... has line authority over the Directorates for Epidemiology and Health Sciences, Economic Analysis, Engineering Sciences, and Laboratory Sciences. The Office develops strategies for and implements the agency's... social impacts of projects are comprehensively and objectively presented to the Commission for decision. ...

16 CFR 1000.25 - Office of Hazard Identification and Reduction.

Code of Federal Regulations, 2011 CFR

2011-01-01

... has line authority over the Directorates for Epidemiology and Health Sciences, Economic Analysis, Engineering Sciences, and Laboratory Sciences. The Office develops strategies for and implements the agency's... social impacts of projects are comprehensively and objectively presented to the Commission for decision. ...

16 CFR 1000.25 - Office of Hazard Identification and Reduction.

Code of Federal Regulations, 2012 CFR

2012-01-01

... has line authority over the Directorates for Epidemiology and Health Sciences, Economic Analysis, Engineering Sciences, and Laboratory Sciences. The Office develops strategies for and implements the agency's... social impacts of projects are comprehensively and objectively presented to the Commission for decision. ...

16 CFR 1000.25 - Office of Hazard Identification and Reduction.

Code of Federal Regulations, 2010 CFR

2010-01-01

... has line authority over the Directorates for Epidemiology and Health Sciences, Economic Analysis, Engineering Sciences, and Laboratory Sciences. The Office develops strategies for and implements the agency's... social impacts of projects are comprehensively and objectively presented to the Commission for decision. ...

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

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.

16 CFR § 1000.25 - Office of Hazard Identification and Reduction.

Code of Federal Regulations, 2013 CFR

2013-01-01

... has line authority over the Directorates for Epidemiology and Health Sciences, Economic Analysis, Engineering Sciences, and Laboratory Sciences. The Office develops strategies for and implements the agency's... social impacts of projects are comprehensively and objectively presented to the Commission for decision. ...

Deciding on Science: An Analysis of Higher Education Science Student Major Choice Criteria

NASA Astrophysics Data System (ADS)

White, Stephen Wilson

The number of college students choosing to major in science, technology, engineering, and math (STEM) in the United States affects the size and quality of the American workforce (Winters, 2009). The number of graduates in these academic fields has been on the decline in the United States since the 1960s, which, according to Lips and McNeil (2009), has resulted in a diminished ability of the United States to compete in science and engineering on the world stage. The purpose of this research was to learn why students chose a STEM major and determine what decision criteria influenced this decision. According to Ajzen's (1991) theory of planned behavior (TPB), the key components of decision-making can be quantified and used as predictors of behavior. In this study the STEM majors' decision criteria were compared between different institution types (two-year, public four-year, and private four-year), and between demographic groups (age and sex). Career, grade, intrinsic, self-efficacy, and self-determination were reported as motivational factors by a majority of science majors participating in this study. Few students reported being influenced by friends and family when deciding to major in science. Science students overwhelmingly attributed the desire to solve meaningful problems as central to their decision to major in science. A majority of students surveyed credited a teacher for influencing their desire to pursue science as a college major. This new information about the motivational construct of the studied group of science majors can be applied to the previously stated problem of not enough STEM majors in the American higher education system to provide workers required to fill the demand of a globally STEM-competitive United States (National Academy of Sciences, National Academy of Engineering, & Institute of Medicine, 2010).

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.

Fast Image Texture Classification Using Decision Trees

NASA Technical Reports Server (NTRS)

Thompson, David R.

2011-01-01

Texture analysis would permit improved autonomous, onboard science data interpretation for adaptive navigation, sampling, and downlink decisions. These analyses would assist with terrain analysis and instrument placement in both macroscopic and microscopic image data products. Unfortunately, most state-of-the-art texture analysis demands computationally expensive convolutions of filters involving many floating-point operations. This makes them infeasible for radiation- hardened computers and spaceflight hardware. A new method approximates traditional texture classification of each image pixel with a fast decision-tree classifier. The classifier uses image features derived from simple filtering operations involving integer arithmetic. The texture analysis method is therefore amenable to implementation on FPGA (field-programmable gate array) hardware. Image features based on the "integral image" transform produce descriptive and efficient texture descriptors. Training the decision tree on a set of training data yields a classification scheme that produces reasonable approximations of optimal "texton" analysis at a fraction of the computational cost. A decision-tree learning algorithm employing the traditional k-means criterion of inter-cluster variance is used to learn tree structure from training data. The result is an efficient and accurate summary of surface morphology in images. This work is an evolutionary advance that unites several previous algorithms (k-means clustering, integral images, decision trees) and applies them to a new problem domain (morphology analysis for autonomous science during remote exploration). Advantages include order-of-magnitude improvements in runtime, feasibility for FPGA hardware, and significant improvements in texture classification accuracy.

Teaching science for public understanding: Developing decision-making abilities

NASA Astrophysics Data System (ADS)

Siegel, Marcelle A.

One of the most important challenges educators have is teaching students how to make decisions about complex issues. In this study, methods designed to enhance students' decision-making skills and attitudes were investigated. An issue-oriented science curriculum was partly replaced with activities designed by the experimenter. The first objective of the study was to examine the effects of an instructional method to increase students' use of relevant scientific evidence in their decisions. The second goal of the research was to test whether the instructional activities could promote students' beliefs that science is relevant to them, because attitudes have been shown to affect students' performance and persistence (Schommer, 1994). Third, the study was designed to determine whether the instructional activities would affect students' beliefs that their intelligence is not fixed but can grow; this question is based on Dweck and Leggett's (1988) definition of two orientations toward intelligence---entity theorists and incremental theorists (Dweck & Leggett, 1988; Dweck & Henderson, 1989). Two urban high-school classrooms participated in this study. Tenth graders examined scientific materials about current issues involving technology and society. Instructional materials on decision making were prepared for one class of students to enhance their regular issue-oriented course, Science and Sustainability. A computer program, called Convince Me (Schank, Ranney & Hoadley, 1996), provided scaffolding for making an evidence-based decision. The experimental group's activities also included pen-and-paper lessons on decision making and the effect of experience on the structure of the brain. The control class continued to engage in Science and Sustainability decision-making activities during the time the experimental class completed the treatment. The control group did not show significant improvement on decision-making tasks, and the experimental group showed marginally significant gains (p = .06) according to the Rasch analysis. A measure of students' understanding of coherent argumentation was correlated with higher decision posttest scores. Over time, both classes significantly regarded science as being more relevant to everyday life. Students' attitudes about ability showed insignificant changes.

Interdisciplinary Collaborative Learning: Using Decision Analysts to Enhance Undergraduate International Management Education

ERIC Educational Resources Information Center

Palocsay, Susan W.; White, Marion M.; Zimmerman, D. Kent

2004-01-01

This article describes an experiential learning activity designed to promote the development of decision-making skills in international management students at the undergraduate level. Students from an undergraduate management science course in decision analysis served as consultants on a case assigned to teams in an international management class.…

Decision Analysis for Multicandidate Voting Systems. Applications of Elementary Decision Analysis to Political Science. [and] An Application of Voting Theory to Congress. Applications of Decision Theory and Game Theory to American Politics. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 384 and 386.

ERIC Educational Resources Information Center

Merrill, Samuel, III; Enelow, James M.

This document consists of two modules. The first studies a variety of multicandidate voting systems, including approval, Borda, and cumulative voting, using a model which takes account of a voter's intensity of preference for candidates. The voter's optimal strategy is investigated for each voting system using decision criteria under uncertainty…

Multi Objective Decision Analysis for Assignment Problems

DTIC Science & Technology

2011-03-01

needed data or try to get data from related databases. 2.3.8 Deterministic Analysis In order to determine an overall score for each...The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Turkish Air...DECISION ANALYSIS FOR ASSIGNMENT PROBLEMS THESIS Presented to the Faculty Department of Operational Sciences Graduate School of

The Importance Of Integrating Narrative Into Health Care Decision Making.

PubMed

Dohan, Daniel; Garrett, Sarah B; Rendle, Katharine A; Halley, Meghan; Abramson, Corey

2016-04-01

When making health care decisions, patients and consumers use data but also gather stories from family and friends. When advising patients, clinicians consult the medical evidence but also use professional judgment. These stories and judgments, as well as other forms of narrative, shape decision making but remain poorly understood. Furthermore, qualitative research methods to examine narrative are rarely included in health science research. We illustrate how narratives shape decision making and explain why it is difficult but necessary to integrate qualitative research on narrative into the health sciences. We draw on social-scientific insights on rigorous qualitative research and our ongoing studies of decision making by patients with cancer, and we describe new tools and approaches that link qualitative research findings with the predominantly quantitative health science scholarship. Finally, we highlight the benefits of more fully integrating qualitative research and narrative analysis into the medical evidence base and into evidence-based medical practice. Project HOPE—The People-to-People Health Foundation, Inc.

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.

Realtime Decision Making on EO-1 Using Onboard Science Analysis

NASA Technical Reports Server (NTRS)

Sherwood, Robert; Chien, Steve; Davies, Ashley; Mandl, Dan; Frye, Stu

2004-01-01

Recent autonomy experiments conducted on Earth Observing 1 (EO-1) using the Autonomous Sciencecraft Experiment (ASE) flight software has been used to classify key features in hyperspectral images captured by EO-1. Furthermore, analysis is performed by this software onboard EO-1 and then used to modify the operational plan without interaction from the ground. This paper will outline the overall operations concept and provide some details and examples of the onboard science processing, science analysis, and replanning.

Multi-criteria decision analysis in environmental sciences: ten years of applications and trends.

PubMed

Huang, Ivy B; Keisler, Jeffrey; Linkov, Igor

2011-09-01

Decision-making in environmental projects requires consideration of trade-offs between socio-political, environmental, and economic impacts and is often complicated by various stakeholder views. Multi-criteria decision analysis (MCDA) emerged as a formal methodology to face available technical information and stakeholder values to support decisions in many fields and can be especially valuable in environmental decision making. This study reviews environmental applications of MCDA. Over 300 papers published between 2000 and 2009 reporting MCDA applications in the environmental field were identified through a series of queries in the Web of Science database. The papers were classified by their environmental application area, decision or intervention type. In addition, the papers were also classified by the MCDA methods used in the analysis (analytic hierarchy process, multi-attribute utility theory, and outranking). The results suggest that there is a significant growth in environmental applications of MCDA over the last decade across all environmental application areas. Multiple MCDA tools have been successfully used for environmental applications. Even though the use of the specific methods and tools varies in different application areas and geographic regions, our review of a few papers where several methods were used in parallel with the same problem indicates that recommended course of action does not vary significantly with the method applied. Published by Elsevier B.V.

Geospatial Data Sciences | Energy Analysis | NREL

Science.gov Websites

, demographics, and the earth's physical geography to provide the foundation for energy analysis and decision -making. Photo of two people discussing a map. Geospatial Analysis Our geographic information system

Energy Decision Science and Informatics | Integrated Energy Solutions |

Science.gov Websites

Science Advanced decision science methods include multi-objective and multi-criteria decision support. Our decision science methods, including multi-objective and multi-criteria decision support. For example, we

Are Retrenchment Decisions Rational? The Role of Information in Times of Budgetary Stress.

ERIC Educational Resources Information Center

Ashar, Hanna; Shapiro, Jonathan Z.

1990-01-01

Analysis of the relationship between performance data and changes in faculty size of 40 departments in a College of Arts and Sciences during a time of financial stress found that the rational choice model was applied to decision making. There was a systematic relationship between objective, evaluative data and policy decisions. (MLW)

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.

Decision Space and Capacities in the Decentralization of Health Services in FijiComment on "Decentralisation of Health Services in Fiji: A Decision Space Analysis".

PubMed

Bossert, Thomas J

2016-05-08

The study of decentralization in Fiji shows that increasing capacities is not necessarily related to increasing decision space of local officials, which is in contrast with earlier studies in Pakistan. Future studies should address the relationship among decision space, capacities, and health system performance. © 2016 by Kerman University of Medical Sciences.

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…

Recent advances in applying decision science to managing national forests

USGS Publications Warehouse

Marcot, Bruce G.; Thompson, Matthew P.; Runge, Michael C.; Thompson, Frank R.; McNulty, Steven; Cleaves, David; Tomosy, Monica; Fisher, Larry A.; 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 analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring the preferred alternative with adaptive management feedbacks. We list a wide array of models, techniques, and tools available for each stage, and provide three case studies of their selected use in National Forest land management and project plans. Successful use of SDM involves participation by decision-makers, analysts, scientists, and stakeholders. We suggest specific areas for training and instituting SDM to foster transparency, rigor, clarity, and inclusiveness in formal decision processes regarding management of national forests.

Reflective Pathways: Analysis of an Urban Science Teaching Field Experience on Noyce Scholar-Science Education Awardees' Decisions to Teach Science in a High-Need New York City School

ERIC Educational Resources Information Center

Bischoff, Paul; French, Paul; Schaumloffel, John

2014-01-01

Awardees of the National Science Foundation's Noyce Scholars funds are required to teach science in high-need urban or rural school districts upon graduation. The purpose of this research was to analyze the reflective considerations that distinguish preservice Noyce Scholar science education majors committed to teaching in high-need New York City…

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.

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows

DOE PAGES

Pugmire, David; Kress, James; Choi, Jong; ...

2016-08-04

Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources producing 10GB per second (and more) are becoming increasingly commonplace in both simulation, sensor and experimental sciences. These data sources, which are often distributed around the world, must be analyzed by teams of scientists that are also distributed. Enabling scientists to view, query and interact with such large volumes of data in near-real-time requires a rich fusion of visualization and analysis techniques, middleware and workflow systems. Here, this paper discusses initial research into visualization and analysis of distributed datamore » workflows that enables scientists to make near-real-time decisions of large volumes of time varying data.« less

What Can Funders Do to Better Link Science with Decisions? Case Studies of Coastal Communities and Climate Change

NASA Astrophysics Data System (ADS)

Matso, Kalle E.; Becker, Mimi L.

2014-12-01

Many reports and studies have noted that a significant portion of problem-oriented coastal science does not actually link to decisions. Here, three competitively funded project case studies are studied to determine what funders can and should do to better link science with decisions. The qualitative analysis used for this study indicates that the studied program was seen as being unusually attentive to the issue of linking science to decisions, as opposed to simply generating new knowledge. Nevertheless, much of the data indicate that funders can and should do more. Three ideas figured most prominently in the qualitative data: (1) funders should do more to ensure that the problem itself is defined more thoroughly with people who are envisioned as potential users of the science; (2) funders need to allocate more resources and attention to communicating effectively (with users) throughout the project; and (3) funders need to demand more engagement of users throughout the project. These findings have important implications for how funders review and support science, especially when competitive processes are used. Most importantly, funders should adjust what kind of science they ask for. Secondly, funders need to change who is involved in the review process. Currently, review processes focus on knowledge generation, which means that the reviewers themselves have expertise in that area. Instead, review panels should be balanced between those who focus on knowledge generation and those who focus on linking knowledge to decisions; this is a separate but critical discipline currently left out of the review process.

Understandings of the nature of science and decision making on science and technology-based issues

NASA Astrophysics Data System (ADS)

Bell, Randy Lee

Current reforms emphasize the development of scientific literacy as the principal goal of science education. The nature of science is considered a critical component of scientific literacy and is assumed to be an important factor in decision making on science and technology based issues. However, little research exists that delineates the role of the nature of science in decision making. The purpose of this investigation was to explicate the role of the nature of science in decision making on science and technology based issues and to delineate the reasoning and factors associated with these types of decisions. The 15-item, open-ended "Decision Making Questionnaire" (DMQ) based on four different scenarios concerning science and technology issues was developed to assess decision making. Twenty-one volunteer participants purposively selected from the faculty of geographically diverse universities completed the questionnaire and follow-up interviews. Participants were subsequently grouped according to their understandings of the nature of science, based on responses to a second open-ended questionnaire and follow-up interview. Profiles of each group's decision making were constructed, based on their previous responses to the DMQ and follow-up interviews. Finally, the two groups' decisions, decision making factors, and decision making strategies were compared. No differences were found between the decisions of the two groups, despite their disparate views of the nature of science. While their reasoning did not follow formal lines of argumentation, several influencing factors and general reasoning patterns were identified. Participants in both groups based their decisions primarily on personal values, morals/ethics, and social concerns. While all participants said they considered scientific evidence in their decision making, most did not require absolute "proof," even though Group B participants held more absolute conceptions of the nature of science. Overall, the nature of science did not figure prominently in either group's decisions. These findings contrast with the assumptions of the science education community and current reform efforts and call for a reexamination of the goals of nature of science instruction. Developing better decision making skills---even on science and technology based issues---may involve other factors, including more values-based instruction and attention to intellectual/moral development.

2018 Military Retirement Options: An Expected Net Present Value Decision Analysis Model

DTIC Science & Technology

2017-03-23

Decision Analysis Model Bret N. Witham Follow this and additional works at: https://scholar.afit.edu/etd Part of the Benefits and Compensation Commons...FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A. APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED...Science in Operations Research Bret N. Witham, BS Captain, USAF March 2017 DISTRIBUTION STATEMENT A. APPROVED FOR PUBLIC RELEASE; DISTRIBUTION

Understandings of the nature of science and decision making on science and technology based issues

NASA Astrophysics Data System (ADS)

Bell, Randy L.; Lederman, Norman G.

2003-05-01

The purpose of this investigation was to explicate the role of the nature of science in decision making on science and technology based issues and to delineate factors and reasoning associated with these types of decisions. Twenty-one volunteer participants purposively selected from the faculty of geographically diverse universities completed an open-ended questionnaire and follow-up interview designed to assess their decision making on science and technology based issues. Participants were subsequently placed in one of two groups based upon their divergent views of the nature of science as assessed by a second open-ended questionnaire and follow-up interview. Profiles of each group's decision making were then constructed, based on participants' previous responses to the decision making questionnaire and follow-up interviews. Finally, the two groups' decisions, decision influencing factors, and decision making strategies were compared. No differences were found between the decisions of the two groups, despite their disparate views of the nature of science. Participants in both groups based their decisions primarily on personal values, morals/ethics, and social concerns. While all participants considered scientific evidence in their decision making, most did not require absolute proof, even though many participants held absolute conceptions of the nature of science. Overall, the nature of science did not figure prominently in either group's decisions. These findings contrast with basic assumptions of current science education reform efforts and call for a re-examination of the goals of nature of science instruction. Developing better decision making skills - even on science and technology based issues - may involve other factors, including more value-based instruction and attention to intellectual/moral development.

Decision analysis. Clinical art or Clinical Science

DTIC Science & Technology

1977-05-01

having helped some clients. Over the past half century, psychotherapy has faced a series of crises concerned with its transformation from an art to a...clinical science . These include validation of the effectiveness of various forms of therapy, validating elements of treatment programs and

Trajectory selection for the Mariner Jupiter/Saturn 1977 Project

NASA Technical Reports Server (NTRS)

Dyer, J. S.; Miles, R. F., Jr.

1974-01-01

This paper describes the use of decision analysis to facilitate a group decision-making problem in the selection of trajectories for the two spacecraft of the Mariner Jupiter/Saturn 1977 Project. This NASA project includes the participation of some eighty scientists divided by specialization among eleven science teams. A set of thirty-two candidate trajectory pairs was developed by the Project in collaboration with the science teams. Each science team then ordinally ranked and assigned cardinal utility function values to the trajectory pairs. These data and statistics derived from collective choice rules were used by the scientists in selecting the preferred trajectory pair.

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

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…

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.

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.

How to Cope with Gauss's Errors? Motivation for Teaching Data and Uncertainty Analysis from a History of Science Perspective

ERIC Educational Resources Information Center

Heinicke, Susanne

2014-01-01

Every measurement in science, every experimental decision, result and information drawn from it has to cope with something that has long been named by the term "error". In fact, errors describe our limitations when it comes to experimental science and science looks back on a long tradition to cope with them. The widely known way to cope…

Enabling Autonomous Rover Science through Dynamic Planning and Scheduling

NASA Technical Reports Server (NTRS)

Estlin, Tara A.; Gaines, Daniel; Chouinard, Caroline; Fisher, Forest; Castano, Rebecca; Judd, Michele; Nesnas, Issa

2005-01-01

This paper describes how dynamic planning and scheduling techniques can be used onboard a rover to autonomously adjust rover activities in support of science goals. These goals could be identified by scientists on the ground or could be identified by onboard data-analysis software. Several different types of dynamic decisions are described, including the handling of opportunistic science goals identified during rover traverses, preserving high priority science targets when resources, such as power, are unexpectedly over-subscribed, and dynamically adding additional, ground-specified science targets when rover actions are executed more quickly than expected. After describing our specific system approach, we discuss some of the particular challenges we have examined to support autonomous rover decision-making. These include interaction with rover navigation and path-planning software and handling large amounts of uncertainty in state and resource estimations.

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

Analysis of Stakeholder-Defined Needs in Northeast U.S. Coastal Communities to Determine Gaps in Research Informing Coastal Resilience Planning

NASA Astrophysics Data System (ADS)

Molino, G. D.; Kenney, M. A.; Sutton-Grier, A.; Penn, K.

2017-12-01

The impacts of climate change on our coastlines are increasing pressure on communities, ecosystems, infrastructure, and state-to-local economies in the northeastern United States (U.S.). As a result of current or imminent risk of acute and chronic hazards, local, state and regional entities have taken steps to identify and address vulnerabilities to climate change. Decisions to increase coastal infrastructure resilience and grey, green, and cultural infrastructure solutions requires physical, natural, and social science that is useful for decision-making and effective science translation mechanisms. Despite the desire to conduct or fund science that meets the needs of communities, there has been no comprehensive analysis to determine stakeholder-defined research needs. To address this gap, this study conducts a stakeholder needs analysis in northeast U.S. coastal communities to determine gaps in information and translation processes supporting coastal resilience planning. Documents were sourced from local, state, and regional organizations in both the public and private sectors, using the northeast region defined by the third National Climate Assessment. Modeled after Dilling et al. (2015), a deductive coding schema was developed that categorized documents using specific search terms such as "Location and condition of infrastructure" and "Proactive planning". A qualitative document analysis was then executed using NVivo to formally identify patterns and themes present in stakeholder surveys, workshop proceedings, and reports. Initial stakeholder priorities centered around incorporation of climate science into planning and decision making regarding vulnerabilities of infrastructure, enhanced emergency planning and response, and communication of key information.

Network Analysis of Beliefs about the Scientific Enterprise: A Comparison of Scientists, Middle School Science Teachers and Eighth-Grade Science Students

ERIC Educational Resources Information Center

Peters-Burton, Erin; Baynard, Liz R.

2013-01-01

An understanding of the scientific enterprise is useful because citizens need to make systematic, rational decisions about projects involving scientific endeavors and technology, and a clearer understanding of scientific epistemology is beneficial because it could encourage more public engagement with science. The purpose of this study was to…

Using Decision Tree Analysis to Understand Foundation Science Student Performance. Insight Gained at One South African University

ERIC Educational Resources Information Center

Kirby, Nicola Frances; Dempster, Edith Roslyn

2014-01-01

The Foundation Programme of the Centre for Science Access at the University of KwaZulu-Natal, South Africa provides access to tertiary science studies to educationally disadvantaged students who do not meet formal faculty entrance requirements. The low number of students proceeding from the programme into mainstream is of concern, particularly…

Fort Collins Science Center- Policy Analysis and Science Assistance Branch : Integrating social, behavioral, economic and biological sciences

USGS Publications Warehouse

2010-01-01

The Fort Collins Science Center's Policy Analysis and Science Assistance (PASA) Branch is a team of approximately 22 scientists, technicians, and graduate student researchers. PASA provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and biological analyses in the context of human-natural resource interactions. Resource planners, managers, and policymakers in the U.S. Departments of the Interior (DOI) and Agriculture (USDA), State and local agencies, as well as international agencies use information from PASA studies to make informed natural resource management and policy decisions. PASA scientists' primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to advance performance in policy relevant research areas. Management and research issues associated with human-resource interactions typically occur in a unique context, involve difficult to access populations, require knowledge of both natural/biological science in addition to social science, and require the skill to integrate multiple science disciplines. In response to these difficult contexts, PASA researchers apply traditional and state-of-the-art social science methods drawing from the fields of sociology, demography, economics, political science, communications, social-psychology, and applied industrial organization psychology. Social science methods work in concert with our rangeland/agricultural management, wildlife, ecology, and biology capabilities. The goal of PASA's research is to enhance natural resource management, agency functions, policies, and decision-making. Our research is organized into four broad areas of study.

An Emerging New Risk Analysis Science: Foundations and Implications.

PubMed

Aven, Terje

2018-05-01

To solve real-life problems-such as those related to technology, health, security, or climate change-and make suitable decisions, risk is nearly always a main issue. Different types of sciences are often supporting the work, for example, statistics, natural sciences, and social sciences. Risk analysis approaches and methods are also commonly used, but risk analysis is not broadly accepted as a science in itself. A key problem is the lack of explanatory power and large uncertainties when assessing risk. This article presents an emerging new risk analysis science based on novel ideas and theories on risk analysis developed in recent years by the risk analysis community. It builds on a fundamental change in thinking, from the search for accurate predictions and risk estimates, to knowledge generation related to concepts, theories, frameworks, approaches, principles, methods, and models to understand, assess, characterize, communicate, and (in a broad sense) manage risk. Examples are used to illustrate the importance of this distinct/separate risk analysis science for solving risk problems, supporting science in general and other disciplines in particular. © 2017 The Authors Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

78 FR 25440 - Request for Information and Citations on Methods for Cumulative Risk Assessment

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-01

... Citations on Methods for Cumulative Risk Assessment AGENCY: Office of the Science Advisor, Environmental... requesting information and citations on approaches and methods for the planning, analysis, assessment, and... approaches to understanding risks to human health and the environment. For example, in Science & Decisions...

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...

The quandaries and promise of risk management: a scientist's perspective on integration of science and management.

Treesearch

B.G. Marcot

2007-01-01

This paper briefly lists constraints and problems of traditional approaches to natural resource risk analysis and risk management. Such problems include disparate definitions of risk, multiple and conflicting objectives and decisions, conflicting interpretations of uncertainty, and failure of articulating decision criteria, risk attitudes, modeling assumptions, and...

Opportunities and Examples for Integration of Socio-environmental Approaches to Support Climate-informed Decisions

NASA Astrophysics Data System (ADS)

Kenney, M. A.

2014-12-01

Climate and environmental decisions require science that couples human and natural systems to quantify or articulate the observed physical, natural, and societal changes or likely consequences of different decision options. Despite the need for such policy-relevant research, multidisciplinary collaborations can be wrought with challenges of data integration, model interoperability, and communication across disciplinary divides. In this talk, I will present several examples where I have collaborated with colleagues from the physical, natural, and social sciences to develop novel, actionable science to inform decision-making. Specifically, I will discuss a cost analysis of water and sediment diversions to optimize land building in the Mississippi River delta (winner of American Geophysical Union Water Resources Research Editor's Choice Award 2014) and the development of a National Climate Indicator System that uses knowledge across the physical, natural, and social sciences to establish an end-to-end indicator system of climate changes, impacts, vulnerabilities, and responses. The latter project is in the process of moving from research to operations, an additional challenge and opportunity, as we work with the U.S. Global Change Research Program and their affiliated Federal agencies to establish it beyond the research prototype. Using these examples, I will provide some lessons learned that would have general applicability to socio-environmental research collaborations and integration of data, models, and information systems to support climate and environmental decision-making.

Does the public communication of science influence scientific vocation? Results of a national survey.

PubMed

Stekolschik, Gabriel; Draghi, Cecilia; Adaszko, Dan; Gallardo, Susana

2010-09-01

The purpose of this work was to determine if public communication of science and technology (PCST) has any influence on people's decision to become dedicated to scientific research. For this reason, a national survey involving 852 researchers from all disciplines was conducted in Argentina. The results showed that the factors affecting scientific vocation are many, and that, regardless of differences in gender, age or discipline, the greatest influence on the decision to go into scientific research is exerted by teachers. The analysis also demonstrated that different manifestations of PCST (science books, press articles, audiovisual material, and activities such as visits to science museums) play a significant role in awakening the vocation for science. From these results it may be stated that PCST--in addition to its function of informing and forming citizens--exerts a significant influence in fostering scientific vocation.

Information processing and dynamics in minimally cognitive agents.

PubMed

Beer, Randall D; Williams, Paul L

2015-01-01

There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we separately analyze the operation of this agent using the mathematical tools of information theory and dynamical systems theory. Information-theoretic analysis reveals how task-relevant information flows through the system to be combined into a categorization decision. Dynamical analysis reveals the key geometrical and temporal interrelationships underlying the categorization decision. Finally, we propose a framework for directly relating these two different styles of explanation and discuss the possible implications of our analysis for some of the ongoing debates in cognitive science. Copyright © 2014 Cognitive Science Society, Inc.

Exploring Science Through Polar Exploration

NASA Astrophysics Data System (ADS)

Pfirman, S. L.; Bell, R. E.; Zadoff, L.; Kelsey, R.

2003-12-01

Exploring the Poles is a First Year Seminar course taught at Barnard College, Columbia University. First Year Seminars are required of incoming students and are designed to encourage critical analysis in a small class setting with focused discussion. The class links historical polar exploration with current research in order to: introduce non-scientists to the value of environmental science through polar literature; discuss issues related to venturing into the unknown that are of relevance to any discipline: self-reliance, leadership, preparation, decisions under uncertainty; show students the human face of science; change attitudes about science and scientists; use data to engage students in exploring/understanding the environment and help them learn to draw conclusions from data; integrate research and education. These goals are met by bringing analysis of early exploration efforts together with a modern understanding of the polar environment. To date to class has followed the efforts of Nansen in the Fram, Scott and Amundsen in their race to the pole, and Shackleton's Endurance. As students read turn-of-the-century expedition journals, expedition progress is progressively revealed on an interactive map showing the environmental context. To bring the exploration process to life, students are assigned to expedition teams for specific years and the fates of the student "expeditions" are based on their own decisions. For example, in the Arctic, they navigate coastal sea ice and become frozen into the ice north of Siberia, re-creating Nansen's polar drift. Fates of the teams varied tremendously: some safely emerged at Fram Strait in 4 years, while others nearly became hopelessly lost in the Beaufort Gyre. Students thus learn about variability in the current polar environment through first hand experience, enabling them to appreciate the experiences, decisions, and, in some cases, the luck, of polar explorers. Evaluation by the Columbia Center for New Media, Teaching and Learning shows that combining historical texts with current data/simulations is an extremely powerful way of engaging non-scientists in science, and explaining the role of science and the environment in decision-making.

The Pacific Northwest's Climate Impacts Group: Climate Science in the Public Interest

NASA Astrophysics Data System (ADS)

Mantua, N.; Snover, A.

2006-12-01

Since its inception in 1995, the University of Washington's Climate Impacts Group (CIG) (funded under NOAA's Regional Integrated Science and Assessments (RISA) Program) has become the leader in exploring the impacts of climate variability and climate change on natural and human systems in the U.S. Pacific Northwest (PNW), specifically climate impacts on water, forest, fish and coastal resource systems. The CIG's research provides PNW planners, decision makers, resource managers, local media, and the general public with valuable knowledge of ways in which the region's key natural resources are vulnerable to changes in climate, and how this vulnerability can be reduced. The CIG engages in climate science in the public interest, conducting original research on the causes and consequences of climate variability and change for the PNW and developing forecasts and decision support tools to support the use of this information in federal, state, local, tribal, and private sector resource management decisions. The CIG's focus on the intersection of climate science and public policy has placed the CIG nationally at the forefront of regional climate impacts assessment and integrated analysis.

Dimensions of autonomy: Primary teachers' decisions about involvement in science professional development

NASA Astrophysics Data System (ADS)

Schibeci, Renato A.; Hickey, Ruth L.

2004-01-01

Professional development (PD) for primary science teachers is recognized as an important activity which can support improved science education for students. Analysis of interviews with practicing primary science teachers is used to identify the range of PD experiences of a sample of teachers from Western Australia. Teachers' reasons for attending or avoiding science-related PD are categorized as decision issues which include opportunity, compulsion, convenience, enticement, interest, recommendation, and relevance. Case studies describe the interplay of these issues, which result in teachers' attendance or avoidance of PD. A subset of the sample is used to explore teachers' views of other activities which they recognize as contributing to their science teaching, content knowledge, and pedagogy. These other activities include hobbies, partner's job, and pursuing students' interests. Legitimating teachers' own interests as a source of personally derived PD is supported as an avenue to increase the diversity of topics studied by students and to increase the level of content knowledge held by teachers.

Investing Wisely: Citation Rankings as a Measure of Quality in Library and Information Science Journals

ERIC Educational Resources Information Center

Via, Barbara J.; Schmidle, Deborah J.

2007-01-01

The library and information science field is currently confronted with difficult decisions about how best to allocate acquisition expenditures among increasingly expensive journals. This article measures the return-on-investment of serial expenditures through the use of citation analysis, which is a widely used approach to ascertaining journal…

Development, Implementation, and Analysis of an Environmental Simulation Information Reference Library and Archive (ESIRLA)

DTIC Science & Technology

1997-12-01

of the DoD environmental science community to identify cloud modeling and other environmental capabilities that support or could potentially support...benefit of the DoD environmental science community. STC determined the detailed requirements for weather effects products and decision aids for specific Air Force operational electro-optical systems.

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.

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.

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.

A new decision sciences for complex systems.

PubMed

Lempert, Robert J

2002-05-14

Models of complex systems can capture much useful information but can be difficult to apply to real-world decision-making because the type of information they contain is often inconsistent with that required for traditional decision analysis. New approaches, which use inductive reasoning over large ensembles of computational experiments, now make possible systematic comparison of alternative policy options using models of complex systems. This article describes Computer-Assisted Reasoning, an approach to decision-making under conditions of deep uncertainty that is ideally suited to applying complex systems to policy analysis. The article demonstrates the approach on the policy problem of global climate change, with a particular focus on the role of technology policies in a robust, adaptive strategy for greenhouse gas abatement.

Trusted Advisors, Decision Models and Other Keys to Communicating Science to Decision Makers

NASA Astrophysics Data System (ADS)

Webb, E.

2006-12-01

Water resource management decisions often involve multiple parties engaged in contentious negotiations that try to navigate through complex combinations of legal, social, hydrologic, financial, and engineering considerations. The standard approach for resolving these issues is some form of multi-party negotiation, a formal court decision, or a combination of the two. In all these cases, the role of the decision maker(s) is to choose and implement the best option that fits the needs and wants of the community. However, each path to a decision carries the risk of technical and/or financial infeasibility as well as the possibility of unintended consequences. To help reduce this risk, decision makers often rely on some type of predictive analysis from which they can evaluate the projected consequences of their decisions. Typically, decision makers are supported in the analysis process by trusted advisors who engage in the analysis as well as the day to day tasks associated with multi-party negotiations. In the case of water resource management, the analysis is frequently a numerical model or set of models that can simulate various management decisions across multiple systems and output results that illustrate the impact on areas of concern. Thus, in order to communicate scientific knowledge to the decision makers, the quality of the communication between the analysts, the trusted advisor, and the decision maker must be clear and direct. To illustrate this concept, a multi-attribute decision analysis matrix will be used to outline the value of computer model-based collaborative negotiation approaches to guide water resources decision making and communication with decision makers. In addition, the critical role of the trusted advisor and other secondary participants in the decision process will be discussed using examples from recent water negotiations.

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...

An Analysis of the Plumbing Occupation.

ERIC Educational Resources Information Center

Carlton, Earnest L.; Hollar, Charles E.

The occupational analysis contains a brief job description, presenting for the occupation of plumbing 12 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety considerations/hazards, decisions, cues, and errors) and learning skills (science, mathematics/number systems, and…

Analysis of the Medical Assisting Occupation.

ERIC Educational Resources Information Center

Keir, Lucille; And Others

The occupational analysis contains a brief job description, presenting for the occupation of medical assistant 113 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety consideration/hazards, decisions, cues, and errors) and learning skills (science, mathematics/number…

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.

Incorporating Science into Decision-Making

USGS Publications Warehouse

Karl, Herman A.; Turner, Christine E.

2003-01-01

Alan Leshner's Editorial “Public engagement with science” (14 Feb., p. 977) highlights a conundrum: Why is science often ignored in important societal decisions, even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics

A Logico-Structural, Worldview Analysis of the Interrelationship between Science Interest, Gender, and Concept of Nature.

ERIC Educational Resources Information Center

Cobern, William W.; And Others

The purpose of this research was to provide information about gender-related worldview structures, among college students, that can inform the instructional decision making process. Information was generated in a logico-structural investigation of the interrelationship of gender, interest in science, and concept of nature. The strength of the…

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.

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.

Investigating the application of Rasch theory in measuring change in middle school student performance in physical science

NASA Astrophysics Data System (ADS)

Cunningham, Jessica D.

Newton's Universe (NU), an innovative teacher training program, strives to obtain measures from rural, middle school science teachers and their students to determine the impact of its distance learning course on understanding of temperature. No consensus exists on the most appropriate and useful method of analysis to measure change in psychological constructs over time. Several item response theory (IRT) models have been deemed useful in measuring change, which makes the choice of an IRT model not obvious. The appropriateness and utility of each model, including a comparison to a traditional analysis of variance approach, was investigated using middle school science student performance on an assessment over an instructional period. Predetermined criteria were outlined to guide model selection based on several factors including research questions, data properties, and meaningful interpretations to determine the most appropriate model for this study. All methods employed in this study reiterated one common interpretation of the data -- specifically, that the students of teachers with any NU course experience had significantly greater gains in performance over the instructional period. However, clear distinctions were made between an analysis of variance and the racked and stacked analysis using the Rasch model. Although limited research exists examining the usefulness of the Rasch model in measuring change in understanding over time, this study applied these methods and detailed plausible implications for data-driven decisions based upon results for NU and others. Being mindful of the advantages and usefulness of each method of analysis may help others make informed decisions about choosing an appropriate model to depict changes to evaluate other programs. Results may encourage other researchers to consider the meaningfulness of using IRT for this purpose. Results have implications for data-driven decisions for future professional development courses, in science education and other disciplines. KEYWORDS: Item Response Theory, Rasch Model, Racking and Stacking, Measuring Change in Student Performance, Newton's Universe teacher training

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.

From the Voices of Kindergarten Teachers: Factors That Impact Decisions about When to Engage the Natural Curiosities of Their Students in Science

NASA Astrophysics Data System (ADS)

Hamilton, Frances A.

Students enter kindergarten as natural-born scientists, curious about the world around them. They enter middle school disliking science. Although implementing science in kindergarten has the potential to improve learning in other subjects in addition to science, it is not taught much in kindergarten. There are many reasons for this according to the literature. The purpose of the study is to gain insight into teachers' thinking as they decide when and how to engage their students in science, to better understand why student enjoyment of science fades in early grades; to contribute teachers' voices to the existing literature on teaching science in the early grades; and to investigate how teachers' science teaching methods align with current research regarding how students learn best. The key research question is "What are the factors that impact teachers' decisions about when to engage the natural curiosities of their students?" Broken down, the supporting research questions include: 1. What factors impact teacher decisions about when to teach science? 2. Under what conditions do teachers engage students' natural curiosities in science? 3. How do teachers describe engagement in their classrooms? This was a participatory action research study that used autoethnography, case studies, and grounded theory methods. Five co-researchers took part in the process. Purposeful sampling was used to select a range of kindergarten teachers in Tennessee and Alabama with different perspectives on teaching science--some from county systems and some from city systems; some using Alabama Math, Science, and Technology Initiative (AMSTI) kits and some not using kits. Co-researchers were selected during initial meetings, interviewed, collected journal entry data, and interviewed again at the culmination of the study. Interviews were transcribed and coded. Analysis included individual cases, each co-researcher, as well as across-case analysis. Results indicated that co-researchers did not have time to teach science many days due to requirements for teaching reading and math, and because of benchmark testing. Recommendations include integrating science concepts including hands-on explorations with reading and math. Ideas for future study include collecting data for a full year, as opposed to eight weeks, to see how factors change from beginning to end in one school year. The idea of learning during spontaneous interactions emerged from interviews with two co-researchers. Exploring spontaneous interactions is another area for future study.

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...

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.

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.

Trajectory selection for the Mariner Jupiter/Saturn 1977 project

NASA Technical Reports Server (NTRS)

Dyer, J. S.; Miles, R. F., Jr.

1974-01-01

The use of decision analysis to facilitate a group decision-making problem in the selection of trajectories for the two spacecraft of the Mariner Jupiter/Saturn 1977 Project. A set of 32 candidate trajectory pairs was developed. Cardinal utility function values were assigned to the trajectory pairs, and the data and statistics derived from collective choice rules were used in selecting the science-preferred trajectory pair.

Decentralisation, Decision Space and Directions for Future Research Comment on "Decentralisation of Health Services in Fiji: A Decision Space Analysis".

PubMed

Zahmatkesh, Maryam; Exworthy, Mark

2016-06-18

Decentralisation continues to re-appear in health system reform across the world. Evaluation of these reforms reveals how research on decentralisation continues to evolve. In this paper, we examine the theoretical foundations and empirical references which underpin current approaches to studying decentralisation in health systems. © 2016 by Kerman University of Medical Sciences.

Overview of NASA Langley's Systems Analysis Capabilities

NASA Technical Reports Server (NTRS)

Cavanaugh, Stephen; Kumar, Ajay; Brewer, Laura; Kimmel, Bill; Korte, John; Moul, Tom

2006-01-01

The Systems Analysis and Concepts Directorate (SACD) has been in the systems analysis business line supporting National Aeronautics and Space Administration (NASA) aeronautics, exploration, space operations and science since the 1960 s. Our current organization structure is shown in Figure 1. SACD mission can be summed up in the following statements: 1. We conduct advanced concepts for Agency decision makers and programs. 2. We provide aerospace systems analysis products such as mission architectures, advanced system concepts, system and technology trades, life cycle cost and risk analysis, system integration and pre-decisional sensitive information. 3. Our work enables informed technical, programmatic and budgetary decisions. SACD has a complement of 114 government employees and approximately 50 on-site contractors which is equally split between supporting aeronautics and exploration. SACD strives for technical excellence and creditability of the systems analysis products delivered to its customers. The Directorate office is continuously building market intelligence and working with other NASA centers and external partners to expand our business base. The Branches strive for technical excellence and credibility of our systems analysis products by seeking out existing and new partnerships that are critical for successful systems analysis. The Directorates long term goal is to grow the amount of science systems analysis business base.

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.

Hydropower licensing and evolving climate: climate knowledge to support risk assessment for long-term infrastructure decisions

NASA Astrophysics Data System (ADS)

Ray, A. J.; Walker, S. H.; Trainor, S. F.; Cherry, J. E.

2014-12-01

This presentation focuses on linking climate knowledge to the complicated decision process for hydropower dam licensing, and the affected parties involved in that process. The U.S. Federal Energy Regulatory Commission issues of licenses for nonfederal hydroelectric operations, typically 30-50 year licenses, and longer infrastructure lifespan, a similar time frame as the anticipated risks of changing climate and hydrology. Resources managed by other federal and state agencies such as the NOAA National Marine Fisheries Service may be affected by new or re-licensed projects. The federal Integrated Licensing Process gives the opportunity for affected parties to recommend issues for consultative investigation and possible mitigation, such as impacts to downstream fisheries. New or re-licensed projects have the potential to "pre-adapt" by considering and incorporating risks of climate change into their planned operations as license terms and conditions. Hundreds of hydropower facilities will be up for relicensing in the coming years (over 100 in the western Sierra Nevada alone, and large-scale water projects such as the proposed Lake Powell Pipeline), as well as proposed new dams such as the Susitna project in Alaska. Therefore, there is a need for comprehensive guidance on delivering climate analysis to support understanding of risks of hydropower projects to other affected resources, and decisions on licensing. While each project will have a specific context, many of the questions will be similar. We also will discuss best practices for the use of climate science in water project planning and management, and how creating the best and most appropriate science is also still a developing art. We will discuss the potential reliability of that science for consideration in long term planning, licensing, and mitigation planning for those projects. For science to be "actionable," that science must be understood and accepted by the potential users. This process is a negotiation, with climate scientists needing to understand the concerns of users and respond, and users developing a better understanding of the state of climate science in order to make an informed choice. We will also discuss what is needed to streamline providing that analysis for the many re-licensing decisions expected in the upcoming years.

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…

Research and development portfolio of the sustainability science team national sustainable operations USDA Forest Service

Treesearch

Trista Patterson; David Nicholls; Jonathan Long

2015-01-01

The Sustainability Science Team (SST) of the U.S. Department of Agriculture (USDA) Forest Service Sustainable Operations Initiative is a 18-member virtual research and development team, located across five regions and four research stations of the USDA Forest Service. The team provides research, publication, systems analysis, and decision support to the Sustainable...

Problems, Prescriptions and Potential in Actionable Climate Change Science - A Case Study from California Coastal Marsh Research

NASA Astrophysics Data System (ADS)

MacDonald, G. M.; Ambrose, R. F.; Thorne, K.; Takekawa, J.; Brown, L. N.; Fejtek, S.; Gold, M.; Rosencranz, J.

2015-12-01

Frustrations regarding the provision of actionable science extend to both producers and consumers. Scientists decry the lack of application of their research in shaping policy and practices while decision makers bemoan the lack of applicability of scientific research to the specific problems at hand or its narrow focus relative to the plethora of engineering, economic and social considerations that they must also consider. Incorporating climate change adds additional complexity due to uncertainties in estimating many facets of future climate, the inherent variability of climate and the decadal scales over which significant changes will develop. Recently a set of guidelines for successful science-policy interaction was derived from the analysis of transboundary water management. These are; 1 recognizing that science is a crucial but bounded input into the decision-making processes, 2 early establishment of conditions for collaboration and shared commitment among participants, 3 understanding that science-policy interactions are enhanced through greater collaboration and social or group-learning processes, 4 accepting that the collaborative production of knowledge is essential to build legitimate decision-making processes, and 5 engaging boundary organizations and informal networks as well as formal stakeholders. Here we present as a case study research on California coastal marshes, climate change and sea-level that is being conducted by university and USGS scientists under the auspices of the Southwest Climate Science Center. We also present research needs identified by a seperate analysis of best practices for coastal marsh restoration in the face of climate change that was conducted in extensive consultation with planners and managers. The initial communication, scientific research and outreach-dissemination of the marsh scientfic study are outlined and compared to best practices needs identified by planners and the science-policy guidelines outlined above. Matches, mismatches, early-stage evidence of applicability and potential improvements of program development and design are considered.

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

NASA Astrophysics Data System (ADS)

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

2010-07-01

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 capabilities within science teaching have been argued by several science educators for decades. Three main objectives guided this study: (1) to establish "base lines" for HOCS capabilities of 10th grade students (n = 264) in the Israeli educational system; (2) to delineate within this population, two different groups with respect to their decision-making capability, science-oriented (n = 142) and non-science (n = 122) students, Groups A and B, respectively; and (3) to assess the pre-post development/change of students' decision-making capabilities via STES-oriented HOCS-promoting curricular modules entitled Science, Technology and Environment in Modern Society (STEMS). A specially developed and validated decision-making questionnaire was used for obtaining a research-based response to the guiding research questions. Our findings suggest that a long-term persistent application of purposed decision-making, promoting teaching strategies, is needed in order to succeed in affecting, positively, high-school students' decision-making ability. The need for science teachers' involvement in the development of their students' HOCS capabilities is thus apparent.

Report explores Congress' science policy

NASA Astrophysics Data System (ADS)

Jones, Richard

Scientists interested in understanding how Congress develops science policy would find it useful to read a recent report by the Carnegie Commission on Science, Technology, and Government. “Science, Technology and Congress: Analysis and Advice from the Congressional Support Agencies” contains revealing insights about the often hard-pressed system that Congress uses to analyze science and technology issues.“Congress is on the front line of many battles over the directions of science and technology,” says the 70-page report. “The quality of congressional decisions on these issues often depends on the quality and usefulness of information and analysis made available to Congress.” The report describes the overwhelming amount of information received by members of Congress, few of whom have “substantial training or experience” in science and technology. Making this information understandable and useful is the role of the Office of Technology Assessment, the Congressional Research Service, the General Accounting Office, and the Congressional Budget Office.

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.

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.

The Business of Co-Production: Assessing Efforts to Bridge Science and Decision-Making for Adaptation in California

NASA Astrophysics Data System (ADS)

Webber, S.; MacDonald, G. M.

2016-12-01

The last decades have seen scholars argue for a greater integration of science and decision-making in order to more effectively respond to climate change. It has been suggested that overcoming the gap between science, on the one hand, and policy-making and management, on the other, requires building bridges through methods of co-production, creating actionable science, or through boundary organizations. In this paper, we review attempts at co-production for policy-making and management in the context of climate change adaptation in California. Building on field research, including numerous interviews conducted with scientists and decision-makers who are co-producers of adaptation projects, we make three arguments. First, we show that an emphasis on co-production and science-informed climate change adaptation decision-making has bolstered a contract-oriented, and decentralized network-based model of producing climate science. Second, reviewing successes and failures in co-production - as reported in interviews - indicates that it is principally in cases of neatly defined, and spatially and temporarily narrow decision-making contexts, and with highly motivated decision-makers, that climate science is used. Finally, we suggest that the ideas of co-production and actionable science may have increased the institutional and organizational burden at the science-decision interface, lengthening the boundary-organization-chain rather than necessarily facilitating adaptive policy-making and management.

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.

Application of decision science to resilience management in Jamaica Bay

USGS Publications Warehouse

Eaton, Mitchell; Fuller, Angela K.; Johnson, Fred A.; Hare, M. P.; Stedman, Richard C.; Sanderson, E.W.; Solecki, W. D.; Waldman, J.R.; Paris, A. S.

2016-01-01

This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.

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.

How robotics programs influence young women's career choices : a grounded theory model

NASA Astrophysics Data System (ADS)

Craig, Cecilia Dosh-Bluhm

The fields of engineering, computer science, and physics have a paucity of women despite decades of intervention by universities and organizations. Women's graduation rates in these fields continue to stagnate, posing a critical problem for society. This qualitative grounded theory (GT) study sought to understand how robotics programs influenced young women's career decisions and the program's effect on engineering, physics, and computer science career interests. To test this, a study was mounted to explore how the FIRST (For Inspiration and Recognition of Science and Technology) Robotics Competition (FRC) program influenced young women's college major and career choices. Career theories suggested that experiential programs coupled with supportive relationships strongly influence career decisions, especially for science, technology, engineering, and mathematics careers. The study explored how and when young women made career decisions and how the experiential program and! its mentors and role models influenced career choice. Online focus groups and interviews (online and face-to-face) with 10 female FRC alumnae and GT processes (inductive analysis, open coding, categorizations using mind maps and content clouds) were used to generate a general systems theory style model of the career decision process for these young women. The study identified gender stereotypes and other career obstacles for women. The study's conclusions include recommendations to foster connections to real-world challenges, to develop training programs for mentors, and to nurture social cohesion, a mostly untapped area. Implementing these recommendations could help grow a critical mass of women in engineering, physics, and computer science careers, a social change worth pursuing.

Defining the optimal therapy sequence in synchronous resectable liver metastases from colorectal cancer: a decision analysis approach.

PubMed

Van Dessel, E; Fierens, K; Pattyn, P; Van Nieuwenhove, Y; Berrevoet, F; Troisi, R; Ceelen, W

2009-01-01

Approximately 5%-20% of colorectal cancer (CRC) patients present with synchronous potentially resectable liver metastatic disease. Preclinical and clinical studies suggest a benefit of the 'liver first' approach, i.e. resection of the liver metastasis followed by resection of the primary tumour. A formal decision analysis may support a rational choice between several therapy options. Survival and morbidity data were retrieved from relevant clinical studies identified by a Web of Science search. Data were entered into decision analysis software (TreeAge Pro 2009, Williamstown, MA, USA). Transition probabilities including the risk of death from complications or disease progression associated with individual therapy options were entered into the model. Sensitivity analysis was performed to evaluate the model's validity under a variety of assumptions. The result of the decision analysis confirms the superiority of the 'liver first' approach. Sensitivity analysis demonstrated that this assumption is valid on condition that the mortality associated with the hepatectomy first is < 4.5%, and that the mortality of colectomy performed after hepatectomy is < 3.2%. The results of this decision analysis suggest that, in patients with synchronous resectable colorectal liver metastases, the 'liver first' approach is to be preferred. Randomized trials will be needed to confirm the results of this simulation based outcome.

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.

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.

The missing link: Creating science policies that facilitate the use of research in environmental and water-related decision-making

NASA Astrophysics Data System (ADS)

Dilling, L.; Pielke, R.; Sarewitz, D.

2005-12-01

Despite all good intentions, it is clear that science intended to serve decision making needs often fails to achieve that purpose. The aftermath of Hurricane Katrina provides a recent, tragic example. The reasons for failures of science to support decision making are varied. Researchers studying forecasts of climate variability have found, for example, cases where information provided is not needed; information is needed but not provided; information lacks regional specificity; information is provided in an inaccessible form; poor communication exists between potential users and providers; there is a lack of trust in information or deliverers; institutional constraints prevent use of new information; and so on. Traditional science policies have institutionalized the separation of the conduct of science from its application and use. It is clear that as long as such a separation, reinforced by tradition, institution and culture, is the dominant paradigm of science policies, the efficient and effective use of science in environmental and water-related decision making will be hampered. We introduce here a research methodology for examining the decision making involved in setting science policies for research aimed at being useful. Based on the economic concept, the notion of "reconciling supply and demand" for information offers a framework for identifying missed opportunities where science policies can be adjusted to improve the usefulness of a given research portfolio. We present results from a case study focused on internal science policies and decision making within the Regional Integrated Sciences and Assessments (RISA) projects. The RISA program aims to "expand the range of choices available to private and public communities in a region, by...enabling practical decisions...using research-based knowledge" and so provides an excellent opportunity for harvesting lessons for creating usable science.

Opening Pandora's Box: Texas Elementary Campus Administrators use of Educational Policy And Highly Qualified Classroom Teachers Professional Development through Data-informed Decisions for Science Education

NASA Astrophysics Data System (ADS)

Brown, Linda Lou

Federal educational policy, No Child Left Behind Act of 2001, focused attention on America's education with conspicuous results. One aspect, highly qualified classroom teacher and principal (HQ), was taxing since states established individual accountability structures. The HQ impact and use of data-informed decision-making (DIDM) for Texas elementary science education monitoring by campus administrators, Campus Instruction Leader (CILs), provides crucial relationships to 5th grade students' learning and achievement. Forty years research determined improved student results when sustained, supported, and focused professional development (PD) for teachers is available. Using mixed methods research, this study applied quantitative and qualitative analysis from two, electronic, on-line surveys: Texas Elementary, Intermediate or Middle School Teacher Survey(c) and the Texas Elementary Campus Administrator Survey(c) with results from 22.3% Texas school districts representing 487 elementary campuses surveyed. Participants selected in random, stratified sampling of 5th grade teachers who attended local Texas Regional Collaboratives science professional development (PD) programs between 2003-2008. Survey information compared statistically to campus-level average passing rate scores on the 5th grade science TAKS using Statistical Process Software (SPSS). Written comments from both surveys analyzed with Qualitative Survey Research (NVivo) software. Due to the level of uncertainty of variables within a large statewide study, Mauchly's Test of Sphericity statistical test used to validate repeated measures factor ANOVAs. Although few individual results were statistically significant, when jointly analyzed, striking constructs were revealed regarding the impact of HQ policy applications and elementary CILs use of data-informed decisions on improving 5th grade students' achievement and teachers' PD learning science content. Some constructs included the use of data-warehouse programs; teachers' applications of DIDM to modify lessons for differentiated science instruction, the numbers of years' teachers attended science PD, and teachers' influence on CILs staffing decisions. Yet CILs reported 14% of Texas elementary campuses had limited or no science education programs due to federal policy requirement for reading and mathematics. Three hypothesis components were supported and accepted from research data resulted in two models addressing elementary science, science education PD, and CILs impact for federal policy applications.

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.

A Requirements Analysis Model for Selection of Personal Computer (PC) software in Air Force Organizations

DTIC Science & Technology

1988-09-01

Institute of Technology Air University In Partial Fulfillment of the Requirements for the Degree of Master of Science in Systems Management Dexter R... management system software Diag/Prob Diagnosis and problem solving or problem finding GR Graphics software Int/Transp Interoperability and...language software Plan/D.S. Planning and decision support or decision making PM Program management software SC Systems for Command, Control, Communications

Instructional decision making of high school science teachers

NASA Astrophysics Data System (ADS)

Carver, Jeffrey S.

The instructional decision-making processes of high school science teachers have not been well established in the literature. Several models for decision-making do exist in other teaching disciplines, business, computer game programming, nursing, and some fields of science. A model that incorporates differences in science teaching that is consistent with constructivist theory as opposed to conventional science teaching is useful in the current climate of standards-based instruction that includes an inquiry-based approach to teaching science. This study focuses on three aspects of the decision-making process. First, it defines what factors, both internal and external, influence high school science teacher decision-making. Second, those factors are analyzed further to determine what instructional decision-making processes are articulated or demonstrated by the participants. Third, by analyzing the types of decisions that are made in the classroom, the classroom learning environments established as a result of those instructional decisions are studied for similarities and differences between conventional and constructivist models. While the decision-making process for each of these teachers was not clearly articulated by the teachers themselves, the patterns that establish the process were clearly exhibited by the teachers. It was also clear that the classroom learning environments that were established were, at least in part, established as a result of the instructional decisions that were made in planning and implementation of instruction. Patterns of instructional decision-making were different for each teacher as a result of primary instructional goals that were different for each teacher. There were similarities between teachers who exhibited more constructivist epistemological tendencies as well as similarities between teachers who exhibited a more conventional epistemology. While the decisions that will result from these two camps may be different, the six step process for instructional decision-making that was established during this study shows promise for use in both situations.

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.

Policy impacts of ecosystem services knowledge

PubMed Central

Posner, Stephen M.; McKenzie, Emily; Ricketts, Taylor H.

2016-01-01

Research about ecosystem services (ES) often aims to generate knowledge that influences policies and institutions for conservation and human development. However, we have limited understanding of how decision-makers use ES knowledge or what factors facilitate use. Here we address this gap and report on, to our knowledge, the first quantitative analysis of the factors and conditions that explain the policy impact of ES knowledge. We analyze a global sample of cases where similar ES knowledge was generated and applied to decision-making. We first test whether attributes of ES knowledge themselves predict different measures of impact on decisions. We find that legitimacy of knowledge is more often associated with impact than either the credibility or salience of the knowledge. We also examine whether predictor variables related to the science-to-policy process and the contextual conditions of a case are significant in predicting impact. Our findings indicate that, although many factors are important, attributes of the knowledge and aspects of the science-to-policy process that enhance legitimacy best explain the impact of ES science on decision-making. Our results are consistent with both theory and previous qualitative assessments in suggesting that the attributes and perceptions of scientific knowledge and process within which knowledge is coproduced are important determinants of whether that knowledge leads to action. PMID:26831101

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.

Measuring the impact of an API-first mentality with ScienceBase after 4.5 years

NASA Astrophysics Data System (ADS)

Bristol, S.; Tekell, S.

2016-12-01

ScienceBase is a research infrastructure developed and operated by the U.S. Geological Survey with users and uses across a number of other agency and organization partners. Over four years ago, we released an Application Programming Interface (API) as the foundation of the system and took on the mindset that our progress would be measured by the uptake of the API by others beyond ourselves in developing interesting applications. We now measure success more by someone finding ScienceBase, organizing their data and information, developing an innovative API-driven application and then serendipitous discovery through a science meeting. Because of the way we built the RESTful API, we can characterize what parts of the system are employed. Analysis of usage data helps us take the supposition out of what works and guides design and funding decisions. This analytics-based process facilitates regular adjustments to our thinking and allows us to test design decisions as hypotheses rather than untestable aspirations.

Environmental mediation: A method for protecting environmental sciences and scientists

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

Vigerstad, T.J.; Berdt Romilly, G. de; MacKeigan, P.

1995-12-31

The primary role for scientific analysis of environmental and human risks has been to support decisions that have arisen out of a regulatory decision-making model called ``Command and Control`` or ``Decide and Defend``. A project or a policy is proposed and permission for its implementation is sought. Permission-gaining sometimes requires a number of technical documents: Environmental Impact Statements, Public Health Risk Evaluations, policy analysis documents. Usually, little of this analysis is used to make any real decisions. This is a fact that has lead to enormous frustration and an atmosphere of distrust of government, industry and consulting scientists. There havemore » been a number of responses by governmental and industrial managers, some scientists, and even the legal system, to mitigate the frustration and distrust. One response has been to develop methods of packaging information using language which is considered more ``understandable`` to the public: Ecosystem Health, Social Risk Assessment, Economic Risk Management, Enviro-hazard Communication, Risk Focus Analysis, etc. A second is to develop more sophisticated persuasion techniques-a potential misuse of Risk Communication. A third is proposing to change the practice of science itself: e.g., ``post-normal science`` and ``popular epidemiology``. A fourth has been to challenge the definition of ``expert`` in legal proceedings. All of these approaches do not appear to address the underlying issue: lack of trust and credibility. To address this issue requires an understanding of the nature of environmental disputes and the development of an atmosphere of trust and credibility. The authors propose Environmental Mediation as a response to the dilemma faced by professional environmental scientists, engineers, and managers that protects the professionals and their disciplines.« less

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.

New institutional mechanisms to bridge the information gap between climate science and public policy decisions

NASA Astrophysics Data System (ADS)

Rogers, W.; Gulledge, J. M.

2010-12-01

Many decision makers lack actionable scientific information needed to prepare for future challenges associated with climate change. Although the scope and quality of available scientific information has increased dramatically in recent years, this information does not always reach - or is not presented in a form that is useful to - decision makers who need it. The producer (i.e. scientists) community tends to be stovepiped, even though consumers (i.e. decision makers) often need interdisciplinary science and analysis. Consumers, who may also be stovepiped in various agencies or subject areas, may lack familiarity with or access to these separate communities, as well as the tools or time to navigate scientific information and disciplines. Closing the communication gap between these communities could be facilitated by institutionalizing processes designed for this purpose. We recommend a variety of mainstreaming policies within the consumer community, as well as mechanisms to generate a strong demand signal that will resonate more strongly with the producer community. We also recommend institutional reforms and methods of incentivizing policy-oriented scientific analysis within the producer community. Our recommendations focus on improving information flow to national security and foreign policy decision makers, but many are relevant to public policy writ large. Recommendations for Producers 1. The scientific community should formally encourage collaborations between natural and social scientists and reward publications in interdisciplinary outlets Incentives could include research funding and honorary awards recognizing service to public policy. 2. Academic merit review should reward research grants and publications targeted at interdisciplinary and/or policy-oriented audiences. Reforms of merit review may require new policies and engaged institutional leadership. Recommendations for Consumers 1. Congress should amend Title VI of the National Defense Education Act to encourage the development of multidisciplinary educational programs on the national security implications of climate change. 2. Federal agencies should establish funding programs to encourage producers to provide scientific information tailored to consumer needs. 3. The Department of State should appoint climate advisors to serve within the regional bureaus and on the policy and planning staff. 4. Federal agencies, the Department of Education, and the National Science Foundation should develop programs to stimulate new interdisciplinary research partnerships and training of a new generation of interdisciplinary climate change risk thinkers, assessors and managers. 5. Federal agencies should encourage Senior Executive Service decision makers to participate in science policy certi¬fication workshops and include science and technology policy as a core curricu¬lum component of the SES Federal Candidate Development Program. These recommendations are described in detail in a report published by the Center for a New American Security: Rogers, W. and J. Gulledge (2010) Lost in Translation: Closing the Gap Between Climate Science and National Security Policy (available online: http://cnas.org/node/4391)

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)…

Coordinating Information and Decisions of Hierarchical Distributed Decision Units in Crises

DTIC Science & Technology

1997-08-01

learning. Carley, K. (1988) Social stability and constructionism . Pittsburgh: Social and Decision Sciences Working Paper Series, Carnegie Mellon...Behavioral and Social Sciences Approved for public release; distribution is unlimited. U.S. ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES...it is no longer needed. Please do not return it to the U.S. Army Research Institute for the Behavioral and Social Sciences. NOTE: The views, opinions

A Biologically Informed Framework for the Analysis of the PPAR Signaling Pathway using a Bayesian Network

EPA Science Inventory

The US EPA’s ToxCastTM program seeks to combine advances in high-throughput screening technology with methodologies from statistics and computer science to develop high-throughput decision support tools for assessing chemical hazard and risk. To develop new methods of analysis of...

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

Combining the benefits of decision science and financial analysis in public health management: a county-specific budgeting and planning model.

PubMed

Fos, Peter J; Miller, Danny L; Amy, Brian W; Zuniga, Miguel A

2004-01-01

State public health agencies are charged with providing and overseeing the management of basic public health services on a population-wide basis. These activities have a re-emphasized focus as a result of the events of September 11, 2001, the subsequent anthrax events, and the continuing importance placed on bioterrorism preparedness, West Nile virus, and emerging infectious diseases (eg, monkeypox, SARS). This has added to the tension that exists in budgeting and planning, given the diverse constituencies that are served in each state. State health agencies must be prepared to allocate finite resources in a more formal manner to be able to provide basic public health services on a routine basis, as well as during outbreaks. This article describes the use of an analytical approach to assist financial analysis that is used for budgeting and planning in a state health agency. The combined benefits of decision science and financial analysis are needed to adequately and appropriately plan and budget to meet the diverse needs of the populations within a state. Health and financial indicators are incorporated into a decision model, based on multicriteria decision theory, that has been employed to acquire information about counties and public health programs areas within a county, that reflect the impact of planning and budgeting efforts. This information can be used to allocate resources, to distribute funds for health care services, and to guide public health finance policy formulation and implementation.

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.

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.

Misconceptions and biases in German students' perception of multiple energy sources: implications for science education

NASA Astrophysics Data System (ADS)

Lee, Roh Pin

2016-04-01

Misconceptions and biases in energy perception could influence people's support for developments integral to the success of restructuring a nation's energy system. Science education, in equipping young adults with the cognitive skills and knowledge necessary to navigate in the confusing energy environment, could play a key role in paving the way for informed decision-making. This study examined German students' knowledge of the contribution of diverse energy sources to their nation's energy mix as well as their affective energy responses so as to identify implications for science education. Specifically, the study investigated whether and to what extent students hold mistaken beliefs about the role of multiple energy sources in their nation's energy mix, and assessed how misconceptions could act as self-generated reference points to underpin support/resistance of proposed developments. An in-depth analysis of spontaneous affective associations with five key energy sources also enabled the identification of underlying concerns driving people's energy responses and facilitated an examination of how affective perception, in acting as a heuristic, could lead to biases in energy judgment and decision-making. Finally, subgroup analysis differentiated by education and gender supported insights into a 'two culture' effect on energy perception and the challenge it poses to science education.

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.

Strategic Technology Investment Analysis: An Integrated System Approach

NASA Technical Reports Server (NTRS)

Adumitroaie, V.; Weisbin, C. R.

2010-01-01

Complex technology investment decisions within NASA are increasingly difficult to make such that the end results are satisfying the technical objectives and all the organizational constraints. Due to a restricted science budget environment and numerous required technology developments, the investment decisions need to take into account not only the functional impact on the program goals, but also development uncertainties and cost variations along with maintaining a healthy workforce. This paper describes an approach for optimizing and qualifying technology investment portfolios from the perspective of an integrated system model. The methodology encompasses multi-attribute decision theory elements and sensitivity analysis. The evaluation of the degree of robustness of the recommended portfolio provides the decision-maker with an array of viable selection alternatives, which take into account input uncertainties and possibly satisfy nontechnical constraints. The methodology is presented in the context of assessing capability development portfolios for NASA technology programs.

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.

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

The U.S. Geological Survey Ecosystem Science Strategy, 2012-2022 - Advancing discovery and application through collaboration

USGS Publications Warehouse

Williams, Byron K.; Wingard, G. Lynn; Brewer, Gary; Cloern, James E.; Gelfenbaum, Guy R.; Jacobson, Robert B.; Kershner, Jeffrey L.; McGuire, Anthony David; Nichols, James D.; Shapiro, Carl D.; van Riper, Charles; White, Robin P.

2012-01-01

Ecosystem science is critical to making informed decisions about natural resources that can sustain our Nation’s economic and environmental well-being. Resource managers and policy-makers are faced with countless decisions each year at local, state, tribal, territorial, and national levels on issues as diverse as renewable and non-renewable energy development, agriculture, forestry, water supply, and resource allocations at the urban-rural interface. The urgency for sound decision-making is increasing dramatically as the world is being transformed at an unprecedented pace and in uncertain directions. Environmental changes are associated with natural hazards, greenhouse gas emissions, and increasing demands for water, land, food, energy, mineral, and living resources. At risk is the Nation’s environmental capital, the goods and services provided by resilient ecosystems that are vital to the health and well-being of human societies. Ecosystem science—the study of systems of organisms interacting with their environment and the consequences of natural and human-induced change on these systems—is necessary to inform decision-makers as they develop policies to adapt to these changes.This Ecosystems Science Strategy is built on a framework that includes basic and applied science. It highlights the critical roles that USGS scientists and partners can play in building scientific understanding and providing timely information to decision-makers. The strategy underscores the connection between scientific discoveries and the application of new knowledge. The strategy integrates ecosystem science and decision-making, producing new scientific outcomes to assist resource managers and providing public benefits.The USGS is uniquely positioned to play an important role in ecosystem science. With its wide range of expertise, the agency can bring holistic, cross-scale, interdisciplinary capabilities to the design and conduct of monitoring, research, and modeling and to new technologies for data collection, management, and visualization. Collectively, these capabilities can be used to reveal ecological patterns and processes, explain how and why ecosystems change, and forecast change over different spatial and temporal scales. USGS science can provide managers with options and decision-support tools to use resources sustainably. The USGS has long-standing, collaborative relationships with the DOI and other partners in the natural sciences, in both conducting science and its application. The USGS engages these partners in cooperative investigations that otherwise would lack the necessary support or be too expensive for a single bureau to conduct.The heart of this strategy is a framework and vision for USGS ecosystems science that focuses on five long-term goals, which are seen as interconnected and reinforcing components:• Improve understanding of ecosystem structure, function, and processes. The focus for this goal is an understanding of how ecosystems work, including the dynamics of species, their populations, interactions, and genetics, and how they change across spatial and temporal scales. • Advance understanding of how drivers influence ecosystem change. The challenges here are explaining the drivers of ecosystem change, their spatio-temporal patterns, their uncertainties and interactions, and their influence on ecosystem processes and dynamics. • Improve understanding of the services that ecosystems provide to society. Here the emphasis is on the measurement of environmental capital and ecosystem services, and the identification of sources and patterns of change in space and time. • Develop tools, technologies, and capacities to inform decision-making about ecosystems. This includes developing new technologies and approaches for conducting applications-oriented ecosystem science. A principal challenge will be how to quantify uncertainty and incorporate it in decision analysis. • Apply science to enhance strategies for management, conservation, and restoration of ecosystems. These challenges include development of novel approaches to monitoring, assessment, and restoration of ecosystems; new methods to address species of concern and communities at risk; and innovations in decision analysis and support to address imminent ecosystem changes or those that are underway.Closely integrated with the five goals are four strategic approaches that provide the path forward for the USGS Ecosystems Mission Area. These approaches cross-cut all of the goals and are seen as essential to the implementation of this strategy:• Assess information needs for ecosystem science through enhanced partnerships. Work with the DOI and other agencies and institutions to identify, design, and implement priority decision-driven ecological research.• Promote the use of interdisciplinary ecosystem science. Design and conduct interdisciplinary process-oriented research in ecosystem science. • Enhance modeling and forecasting. Build models to forecast ecosystem change, assess future management scenarios, and reduce uncertainties through an adaptive learning process. • Support decision-making. Use quantitative approaches to assess the vulnerabilities of ecosystems, habitats, and species, and evaluate strategies for adaptation, restoration, and sustainable management.Following the strategic approaches are a set of proposed actions that represent a sampling of specific activities that align with this strategy and that address the Nation’s most pressing environmental needs.The strategy emphasizes coordination of activities across the USGS mission areas pursuant to these goals. Ecosystem science is inherently interdisciplinary and requires a broad perspective that incorporates the biological and physical sciences, climate science, information technology, and scientific capacity in mission areas across the Bureau. With its emphasis on coordination, this strategy can provide a critical underpinning for integrated science efforts with scientists from multiple mission areas of the USGS working together. Of course, the USGS will continue to conduct both discipline-specific and interdisciplinary investigations, and both will continue to be vital parts of the ecosystem science portfolio.Finally, the strategy stresses the importance of coordination with other Federal agencies and organizations in the natural resources community. The USGS collaborates with resource agencies in the DOI and other organizations throughout the world to meet societal needs for species and ecosystem management. Working with these agencies and organizations, the USGS will play a key role over the next decade in advancing the scientific foundation for sustaining the natural resources that diverse, productive, resilient ecosystems provide.

Guidelines for Preparing Economic Analysis (2010, revised 2014)

EPA Pesticide Factsheets

The Guidelines for Preparing Economic Analyses: External Review Draft have been prepared for review by the EPA Science Advisory Board and are part of a continuing effort by the U.S. EPA to develop improved economic guidance to support decision making.

NASA Earth Science Image Analysis for Climate Change Decisions

NASA Technical Reports Server (NTRS)

Hilderbrand, Peter H.

2011-01-01

This talk will briefly outline the ways in which NASA observes the Earth, then describes the NASA satellite measurements, and then proceeds to show how these measurements are used to understand the changes that are occurring as Earth's climate warms.

The Impact of Size and Specialisation on Universities' Department Performance: A DEA Analysis Applied to Austrian Universities

ERIC Educational Resources Information Center

Leitner, Karl-Heinz; Prikoszovits, Julia; Schaffhauser-Linzatti, Michaela; Stowasser, Rainer; Wagner, Karin

2007-01-01

This paper explores the performance efficiency of natural and technical science departments at Austrian universities using Data Envelopment Analysis (DEA). We present DEA as an alternative tool for benchmarking and ranking the assignment of decision-making units (organisations and organisational units). The method applies a multiple input and…

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.

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..

Toward Affordable Systems: Portfolio Analysis and Management for Army Science and Technology Programs

DTIC Science & Technology

2009-01-01

PROGRAM ELEMENT NUMBER 6. AUTHOR (S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Rand...Decision Authority MDAP major defense acquisition program Abbreviations xxvii MIC marginal implementation cost MOMC marginal operating and...the Milestone Decision Authority (MDA).1 1 This section is based on U.S. Army, 2003, pp. 30–33. This 2003 Army document had taken into account the

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.

Genomics in the land of regulatory science.

PubMed

Tong, Weida; Ostroff, Stephen; Blais, Burton; Silva, Primal; Dubuc, Martine; Healy, Marion; Slikker, William

2015-06-01

Genomics science has played a major role in the generation of new knowledge in the basic research arena, and currently question arises as to its potential to support regulatory processes. However, the integration of genomics in the regulatory decision-making process requires rigorous assessment and would benefit from consensus amongst international partners and research communities. To that end, the Global Coalition for Regulatory Science Research (GCRSR) hosted the fourth Global Summit on Regulatory Science (GSRS2014) to discuss the role of genomics in regulatory decision making, with a specific emphasis on applications in food safety and medical product development. Challenges and issues were discussed in the context of developing an international consensus for objective criteria in the analysis, interpretation and reporting of genomics data with an emphasis on transparency, traceability and "fitness for purpose" for the intended application. It was recognized that there is a need for a global path in the establishment of a regulatory bioinformatics framework for the development of transparent, reliable, reproducible and auditable processes in the management of food and medical product safety risks. It was also recognized that training is an important mechanism in achieving internationally consistent outcomes. GSRS2014 provided an effective venue for regulators andresearchers to meet, discuss common issues, and develop collaborations to address the challenges posed by the application of genomics to regulatory science, with the ultimate goal of wisely integrating novel technical innovations into regulatory decision-making. Published by Elsevier Inc.

Using multi-criteria decision analysis to appraise orphan drugs: a systematic review.

PubMed

Friedmann, Carlotta; Levy, Pierre; Hensel, Paul; Hiligsmann, Mickaël

2018-04-01

Multi-criteria decision analysis (MCDA) could potentially solve current methodological difficulties in the appraisal of orphan drugs. Areas covered: We provide an overview of the existing evidence regarding the use of MCDA in the appraisal of orphan drugs worldwide. Three databases (Pubmed, Embase, Web of Science) were searched for English, French and German literature published between January 2000 and April 2017. Full-text articles were supplemented with conference abstracts. A total of seven articles and six abstracts were identified. Expert commentary: The literature suggests that MCDA is increasingly being used in the context of appraising orphan drugs. It has shown itself to be a flexible approach with the potential to assist in decision-making regarding reimbursement for orphan drugs. However, further research regarding its application must be conducted.

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.

Shared decision-making in the paediatric field: a literature review and concept analysis.

PubMed

Park, Eun Sook; Cho, In Young

2017-09-13

The concept of shared decision-making is poorly defined and often used interchangeably with related terms. The aim of this study was to delineate and clarify the concept of shared decision-making in the paediatric field. Rodgers and Knafl's evolutionary concept analysis was used to delineate and clarify the concept. Following a search of the CINAHL, PubMed and MEDLINE databases and online journals between 1995 and 2016, we included a total of 42 articles that referred to shared decision-making in the paediatric field. The attributes included active participation of the three: parents, children and health professionals; collaborative partnership; reaching a compromise; and common goal for child's health. Antecedents were existing several options with different possible outcomes; substantial decisional conflict; recognising child's health situations that decision-making is needed; and willingness to participate in decision-making. Finally, the consequences included decreased decisional conflict; mutual empowerment; improved child health status; and improved quality of paediatric health care. This study provides a theoretical understanding of the concept of shared decision-making in the paediatric field; furthermore, by integrating this concept into paediatric practice, it may help to reduce the gap between theory and practice. The analysis could also provide nursing researchers with insight into paediatric decision-making and establish a foundation to develop future interventions and situation-specific theory for promoting high-quality decision-making in the paediatric field. © 2017 Nordic College of Caring Science.

Enhancing the role of science in the decision-making of the European Union.

PubMed

Allio, Lorenzo; Ballantine, Bruce; Meads, Richard

2006-02-01

Used well, science provides effective ways of identifying potential risks, protecting citizens, and using resources wisely. It enables government decisions to be based on evidence and provides a foundation for a rule-based framework that supports global trade. To ensure that the best available science becomes a key input in the decisions made by EU institutions, this abridged version of a working paper produced for the European Policy Centre, a leading, independent think tank, considers how science is currently used in the policy and decision-making processes of the EU, what the limitations of scientific evidence are, and how a risk assessment process based on scientific 'good practices' can be advantageous. Finally, the paper makes recommendations on how to improve the use of science by EU institutions.

Global Summit on Regulatory Science 2013.

PubMed

Howard, Paul C; Tong, Weida; Weichold, Frank; Healy, Marion; Slikker, William

2014-12-01

Regulatory science has been defined as the science that is used to develop regulatory decisions by government bodies. Regulatory science encompasses many scientific disciplines that oversee many studies producing a wide array of data. These may include fundamental research into the cellular interaction or response to a particular chemical or substance, hazard-assessment and dose-response studies in animal species, neurophysiological or neurobehavioral studies, best practices for the generation and analysis of genomics data, bioinformatics approaches, and mathematical modeling of risk. The Global Summit on Regulatory Science is an international conference with a mission to explore emerging and innovative technologies, and provide a platform to enhance translation of basic science into regulatory applications. The Third Global Summit on Regulatory Science which focused on nanotechnology is discussed. Published by Elsevier Inc.

Why cognitive science needs philosophy and vice versa.

PubMed

Thagard, Paul

2009-04-01

Contrary to common views that philosophy is extraneous to cognitive science, this paper argues that philosophy has a crucial role to play in cognitive science with respect to generality and normativity. General questions include the nature of theories and explanations, the role of computer simulation in cognitive theorizing, and the relations among the different fields of cognitive science. Normative questions include whether human thinking should be Bayesian, whether decision making should maximize expected utility, and how norms should be established. These kinds of general and normative questions make philosophical reflection an important part of progress in cognitive science. Philosophy operates best, however, not with a priori reasoning or conceptual analysis, but rather with empirically informed reflection on a wide range of findings in cognitive science. Copyright © 2009 Cognitive Science Society, Inc.

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.

How a science methods course may influence the curriculum decisions of preservice teachers in the Bahamas

NASA Astrophysics Data System (ADS)

Wisdom, Sonya L.

The purpose of this study was to examine how a science methods course in primary education might influence the curriculum decisions of preservice teachers in The Bahamas related to unit plan development on environmental science topics. Grounded in a social constructivist theoretical framework for teaching and learning science, this study explored the development of the confidence and competence of six preservice teachers to teach environmental science topics at the primary school level. A qualitative case study using action research methodologies was conducted. The perspectives of preservice teachers about the relevancy of methods used in a science methods course were examined as I became more reflective about my practice. Using constant comparative analysis, data from student-written documents and interviews as well as my field notes from class observations and reflective journaling were analyzed for emerging patterns and themes. Findings of the study indicated that while preservice teachers showed a slight increase in interest regarding learning and teaching environmental science, their primary focus during the course was learning effective teaching strategies in science on topics with which they already had familiarity. Simultaneously, I gained a deeper understanding of the usefulness of reflection in my practice. As a contribution to the complexity of learning to teach science at the primary school level, this study suggests some issues for consideration as preservice teachers are supported to utilize more of the national primary science curriculum in The Bahamas.

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...

Strategic Curricular Decisions in Butler University's Actuarial Science Major

ERIC Educational Resources Information Center

Wilson, Christopher James

2014-01-01

We describe specific curricular decisions employed at Butler University that have resulted in student achievement in the actuarial science major. The paper includes a discussion of how these decisions might be applied in the context of a new actuarial program.

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…

Resilience thinking and a decision-analytic approach to conservation: strange bedfellows or essential partners?

USGS Publications Warehouse

Johnson, Fred A.; Williams, Byron K.; Nichols, James D.

2013-01-01

There has been some tendency to view decision science and resilience theory as opposing approaches, or at least as contending perspectives, for natural resource management. Resilience proponents have been especially critical of optimization in decision science, at least for those cases where it is focused on the aggressive pursuit of efficiency. In general, optimization of resource systems is held to reduce spatial, temporal, or organizational heterogeneity that would otherwise limit efficiency, leading to homogenization of a system and making it less able to cope with unexpected changes or disturbances. For their part, decision analysts have been critical of resilience proponents for not providing much practical advice to decision makers. We believe a key source of tension between resilience thinking and application of decision science is the pursuit of efficiency in the latter (i.e., choosing the “best” management action or strategy option to maximize productivity of one or few resource components), vs. a desire in the former to keep options open (i.e., maintaining and enhancing diversity). It seems obvious, however, that with managed natural systems, there must be a principle by which to guide decision making, which at a minimumallows for a comparison of projected outcomes associated with decision alternatives. This is true even if the primary concern of decision making is the preservation of system resilience. We describe how a careful framing of conservation problems, especially in terms of management objectives and predictive models, can help reduce the purported tension between resiliencethinking and decision analysis. In particular, objective setting in conservation problems needs to be more attuned to the dynamics of ecological systems and to the possibility of deep uncertainties that underlie the risk of unintended, if not irreversible, outcomes. Resilience thinking also leads to the suggestion that model development should focus more on process rather than pattern, on multiple scales of influence, and on phenomena that can create alternative stability regimes. Although we acknowledge the inherent difficulties in modeling ecological processes, we stress that formulation of useful models need not depend on a thorough mechanistic understanding or precise parameterization, assuming that uncertainty is acknowledged and treated in a systematic manner.

Analysis of the acceptance of autonomous planetary science data collection by field of inquiry

NASA Astrophysics Data System (ADS)

Straub, Jeremy

2015-06-01

The acceptance of autonomous control technologies in planetary science has met significant resistance. Many within this scientific community question the efficacy of autonomous technologies for making decisions regarding what data to collect, how to process it and its processing. These technologies, however, can be used to significantly increase the scientific return on mission investment by removing limitations imposed by communications bandwidth constraints and communications and human decision making delays. A fully autonomous mission, in an ideal case, could be deployed, perform most of the substantive work itself (possibly relying on human assistance for dealing with any unexpected or unexplained occurrences) and return an answer to a scientific question along with data selected to allow scientists to validate software performance. This paper presents the results of a survey of planetary scientists which attempts to identify the root causes of the impediments to the use of this type of technology and identify pathways to its acceptance. Previous work considered planetary science as a single large community. This paper contrasts the differences in acceptance between component fields of planetary science.

Decision analysis framing study; in-valley drainage management strategies for the western San Joaquin Valley, California

USGS Publications Warehouse

Presser, Theresa S.; Jenni, Karen E.; Nieman, Timothy; Coleman, James

2010-01-01

Constraints on drainage management in the western San Joaquin Valley and implications of proposed approaches to management were recently evaluated by the U.S. Geological Survey (USGS). The USGS found that a significant amount of data for relevant technical issues was available and that a structured, analytical decision support tool could help optimize combinations of specific in-valley drainage management strategies, address uncertainties, and document underlying data analysis for future use. To follow-up on USGS's technical analysis and to help define a scientific basis for decisionmaking in implementing in-valley drainage management strategies, this report describes the first step (that is, a framing study) in a Decision Analysis process. In general, a Decision Analysis process includes four steps: (1) problem framing to establish the scope of the decision problem(s) and a set of fundamental objectives to evaluate potential solutions, (2) generation of strategies to address identified decision problem(s), (3) identification of uncertainties and their relationships, and (4) construction of a decision support model. Participation in such a systematic approach can help to promote consensus and to build a record of qualified supporting data for planning and implementation. In December 2008, a Decision Analysis framing study was initiated with a series of meetings designed to obtain preliminary input from key stakeholder groups on the scope of decisions relevant to drainage management that were of interest to them, and on the fundamental objectives each group considered relevant to those decisions. Two key findings of this framing study are: (1) participating stakeholders have many drainage management objectives in common; and (2) understanding the links between drainage management and water management is necessary both for sound science-based decisionmaking and for resolving stakeholder differences about the value of proposed drainage management solutions. Citing ongoing legal processes associated with drainage management in the western San Joaquin Valley, the U.S. Bureau of Reclamation (USBR) withdrew from the Decision Analysis process early in the proceedings. Without the involvement of the USBR, the USGS discontinued further development of this study.

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…

Reaching a Consensus on the Definition of Genetic Literacy that Is Required from a Twenty-First-Century Citizen

NASA Astrophysics Data System (ADS)

Boerwinkel, Dirk Jan; Yarden, Anat; Waarlo, Arend Jan

2017-12-01

To determine what knowledge of genetics is needed for decision-making on genetic-related issues, a consensus-reaching approach was used. An international group of 57 experts, involved in teaching, studying, or developing genetic education and communication or working with genetic applications in medicine, agriculture, or forensics, answered the questions: "What knowledge of genetics is relevant to those individuals not professionally involved in science?" and "Why is this knowledge relevant?" The answers were classified in different knowledge components following the PISA 2015 science framework. During a workshop with the participants, the results were discussed and applied to seven cases in which genetic knowledge is relevant for decision-making. The analysis of these discussions resulted in a revised framework consisting of nine conceptual knowledge components, three sociocultural components, and four epistemic components. The framework can be used in curricular decisions; its open character allows for including new technologies and applications and facilitates comparisons of different cases.

Arctic Collaborative Environment: A New Multi-National Partnership for Arctic Science and Decision Support

NASA Technical Reports Server (NTRS)

Laymon, Charles A,; Kress, Martin P.; McCracken, Jeff E.; Spehn, Stephen L.; Tanner, Steve

2011-01-01

The Arctic Collaborative Environment (ACE) project is a new international partnership for information sharing to meet the challenges of addressing Arctic. The goal of ACE is to create an open source, web-based, multi-national monitoring, analysis, and visualization decision-support system for Arctic environmental assessment, management, and sustainability. This paper will describe the concept, system architecture, and data products that are being developed and disseminated among partners and independent users through remote access.

High content screening of ToxCast compounds using Vala Sciences’ complex cell culturing systems (SOT)

EPA Science Inventory

US EPA’s ToxCast research program evaluates bioactivity for thousands of chemicals utilizing high-throughput screening assays to inform chemical testing decisions. Vala Sciences provides high content, multiplexed assays that utilize quantitative cell-based digital image analysis....

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.

NREL Spectrum of Clean Energy Innovation (Brochure)

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

Not Available

2011-09-01

This brochure describes the NREL Spectrum of Clean Energy Innovation, which includes analysis and decision support, fundamental science, market relevant research, systems integration, testing and validation, commercialization and deployment. Through deep technical expertise and an unmatched breadth of capabilities, the National Renewable Energy Laboratory (NREL) leads an integrated approach across the spectrum of renewable energy innovation. From scientific discovery to accelerating market deployment, NREL works in partnership with private industry to drive the transformation of our nation's energy systems. NREL integrates the entire spectrum of innovation, including fundamental science, market relevant research, systems integration, testing and validation, commercialization, and deployment.more » Our world-class analysis and decision support informs every point on the spectrum. The innovation process at NREL is inter-dependent and iterative. Many scientific breakthroughs begin in our own laboratories, but new ideas and technologies may come to NREL at any point along the innovation spectrum to be validated and refined for commercial use.« less

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.

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

Pugmire, David; Kress, James; Choi, Jong

Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources producing 10GB per second (and more) are becoming increasingly commonplace in both simulation, sensor and experimental sciences. These data sources, which are often distributed around the world, must be analyzed by teams of scientists that are also distributed. Enabling scientists to view, query and interact with such large volumes of data in near-real-time requires a rich fusion of visualization and analysis techniques, middleware and workflow systems. Here, this paper discusses initial research into visualization and analysis of distributed datamore » workflows that enables scientists to make near-real-time decisions of large volumes of time varying data.« less

Life science teachers' decision making on sex education

NASA Astrophysics Data System (ADS)

Gill, Puneet Singh

The desires of young people and especially young bodies are constructed at the intersections of policies that set the parameters of sex education policies, the embodied experiences of students in classrooms, and the way bodies are discussed in the complex language of science. Moreover, more research points to the lack of scientifically and medically accurate information about sex education. Through this research, I hope to extend the discussion about sex education to life science classrooms, where youth can discuss how sex occurs according to scientific concepts and processes. However, science classrooms are caught in a double bind: They maintain positivist methods of teaching science while paying little attention to the nature of science or the nature and function of science that offer explanations of scientific phenomena. In this study, I describe how science teachers made decisions about what to include or not include about sexuality in a life science classroom and the discursive frameworks that shaped these decisions. I also analyzed the ways that these relationships functioned to produce certain truths, or discourses. The current trends in research concerning SSI are pointing to understanding how controversial issues are framed according to personal philosophies, identities, and teaching approaches. If we can understand science teachers' inner aspects as they relate to sexuality education, we can also understand the deep-seeded motivations behind how these specific issues are being taught. In science classrooms where a discussion of the body is part of the curriculum, specific discourses of the body and sex/sexuality are excluded. In this study, I describe how science teachers made decisions about what to include or not include about sexuality in a life science classroom and the discursive practices that shaped these decisions.

Executive Support Systems: An Innovation Decision Perspective

DTIC Science & Technology

1990-01-01

of the requirements for the degree of Master of Science Department of Management Science and Information Systems 1990 0 4 28 071 This thesis for the...Master of Science degree by Vern Edwin Hasenstein has been approved for the Department of Management Science and -formation Systems by James C...Dist Speolal Hasenstein, Vern Edwin (M.S., Management Science and Information Systems) Executive Support Systems: An Innovation-decision Perspective

Real-time science operations to support a lunar polar volatiles rover mission

NASA Astrophysics Data System (ADS)

Heldmann, Jennifer L.; Colaprete, Anthony; Elphic, Richard C.; Mattes, Greg; Ennico, Kimberly; Fritzler, Erin; Marinova, Margarita M.; McMurray, Robert; Morse, Stephanie; Roush, Ted L.; Stoker, Carol R.

2015-05-01

Future human exploration of the Moon will likely rely on in situ resource utilization (ISRU) to enable long duration lunar missions. Prior to utilizing ISRU on the Moon, the natural resources (in this case lunar volatiles) must be identified and characterized, and ISRU demonstrated on the lunar surface. To enable future uses of ISRU, NASA and the CSA are developing a lunar rover payload that can (1) locate near subsurface volatiles, (2) excavate and analyze samples of the volatile-bearing regolith, and (3) demonstrate the form, extractability and usefulness of the materials. Such investigations are important both for ISRU purposes and for understanding the scientific nature of these intriguing lunar volatile deposits. Temperature models and orbital data suggest near surface volatile concentrations may exist at briefly lit lunar polar locations outside persistently shadowed regions. A lunar rover could be remotely operated at some of these locations for the ∼ 2-14 days of expected sunlight at relatively low cost. Due to the limited operational time available, both science and rover operations decisions must be made in real time, requiring immediate situational awareness, data analysis, and decision support tools. Given these constraints, such a mission requires a new concept of operations. In this paper we outline the results and lessons learned from an analog field campaign in July 2012 which tested operations for a lunar polar rover concept. A rover was operated in the analog environment of Hawaii by an off-site Flight Control Center, a rover navigation center in Canada, a Science Backroom at NASA Ames Research Center in California, and support teams at NASA Johnson Space Center in Texas and NASA Kennedy Space Center in Florida. We find that this type of mission requires highly efficient, real time, remotely operated rover operations to enable low cost, scientifically relevant exploration of the distribution and nature of lunar polar volatiles. The field demonstration illustrated the need for science operations personnel in constant communications with the flight mission operators and the Science Backroom to provide immediate and continual science support and validation throughout the mission. Specific data analysis tools are also required to enable immediate data monitoring, visualization, and decision making. The field campaign demonstrated that this novel methodology of real-time science operations is possible and applicable to providing important new insights regarding lunar polar volatiles for both science and exploration.

Real-Time Science Operations to Support a Lunar Polar Volatiles Rover Mission

NASA Technical Reports Server (NTRS)

Heldmann, Jennifer L.; Colaprete, Anthony; Elphic, Richard C.; Mattes, Greg; Ennico, Kimberly; Fritzler, Erin; Marinova, Margarita M.; McMurray, Robert; Morse, Stephanie; Roush, Ted L.;

Real-Time Mapping Spectroscopy on the Ground, in the Air, and in Space

NASA Astrophysics Data System (ADS)

Thompson, D. R.; Allwood, A.; Chien, S.; Green, R. O.; Wettergreen, D. S.

2016-12-01

Real-time data interpretation can benefit both remote in situ exploration and remote sensing. Basic analyses at the sensor can monitor instrument performance and reveal invisible science phenomena in real time. This promotes situational awareness for remote robotic explorers or campaign decision makers, enabling adaptive data collection, reduced downlink requirements, and coordinated multi-instrument observations. Fast analysis is ideal for mapping spectrometers providing unambiguous, quantitative geophysical measurements. This presentation surveys recent computational advances in real-time spectroscopic analysis for Earth science and planetary exploration. Spectral analysis at the sensor enables new operations concepts that significantly improve science yield. Applications include real-time detection of fugitive greenhouse emissions by airborne monitoring, real-time cloud screening and mineralogical mapping by orbital spectrometers, and adaptive measurement by the PIXL instrument on the Mars 2020 rover. Copyright 2016 California Institute of Technology. All Rights Reserved. We acknowledge support of the US Government, NASA, the Earth Science Division and Terrestrial Ecology program.

Rhetoric, power and legitimacy: a critical analysis of the public policy disputes surrounding stem cell research in Australia (2005-6).

PubMed

Lysaght, Tamra; Kerridge, Ian

2012-02-01

In December 2006, the Australian Parliament liberalized regulation governing stem cell research. This decision and preceding legislative review generated considerable public debate, which centred on objections to the deliberate creation and destruction of human embryos for research purposes. This paper draws on qualitative research conducted on the public debate surrounding this policy episode. The aim of this research was to examine how science and scientific knowledge are mobilized by participants in these debates to support their arguments. Data were collected from 109 newspaper opinion editorials as well as 23 in-depth interviews and examined using qualitative content and thematic analysis. Results of this analysis depict science as a rhetorical, moral and political resource that provides opportunities for participants to gain legitimacy, negotiate meaning and assert authority in the public domain. The mobilization of science in public discourse is discussed along with suggestions that are aimed at encouraging greater transparency and inclusiveness in public debates around contested science and emergent technologies.

Preferences of processing companies for attributes of Swiss milk: a conjoint analysis in a business-to-business market.

PubMed

Boesch, I

2013-04-01

This study aimed to determine key attributes of milk that drive a processor's supply decisions and possibilities for differentiation based on these product attributes. Feedback-driven exploration was applied to derive product attributes relevant to the buying decision. Conjoint analysis with hierarchical Bayes estimation methods was used to determine the relative importance of attributes. Results show that the technical aspects of milk, as well as the price and country of origin, dominate the buying decision. Potential for differentiation was found for environmental and societal attributes as well as freedom from genetically modified products. Product and supplier criteria also provide the potential to segment the market if the price premium is held within limits. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Authentic science experiences as a vehicle for assessing orientation towards science and science careers relative to identity and agency: a response to ``learning from the path followed by Brad''

NASA Astrophysics Data System (ADS)

Chinn, Pauline W. U.

2009-09-01

This response draws from the literature on adaptive learning, traditional ecological knowledge, and social-ecological systems to show that Brad's choice is not a simple decision between traditional ecological knowledge and authentic science. This perspective recognizes knowledge systems as dynamic, cultural and historical activities characterized by diverse worldviews and ways of constructing and legitimizing knowledge. Brad's decision is seen as an example of adaptive learning, identity development and personal/collective agency oriented to increasing tribal influence in resource management decisions and policies. I will conclude that science literacy for all is not served by a transcendent, universal, Western modern view of science.

Analysis and Management of Animal Populations: Modeling, Estimation and Decision Making

USGS Publications Warehouse

Williams, B.K.; Nichols, J.D.; Conroy, M.J.

2002-01-01

This book deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. KEY FEATURES * Integrates population modeling, parameter estimation and * decision-theoretic approaches to management in a single, cohesive framework * Provides authoritative, state-of-the-art descriptions of quantitative * approaches to modeling, estimation and decision-making * Emphasizes the role of mathematical modeling in the conduct of science * and management * Utilizes a unifying biological context, consistent mathematical notation, * and numerous biological examples

A Rapid Prototyping Look at NASA's Next Generation Earth-Observing Satellites; Opportunities for Global Change Research and Applications

NASA Astrophysics Data System (ADS)

Cecil, L.; Young, D. F.; Parker, P. A.; Eckman, R. S.

2006-12-01

The NASA Applied Sciences Program extends the results of Earth Science Division (ESD) research and knowledge beyond the scientific and research communities to contribute to national priority applications with societal benefits. The Applied Sciences Program focuses on, (1) assimilation of NASA Earth-science research results and their associated uncertainties to improve decision support systems and, (2) the transition of NASA research results to evolve improvements in future operational systems. The broad range of Earth- science research results that serve as inputs to the Applied Sciences Program are from NASA's Research and Analysis Program (R&A) within the ESD. The R&A Program has established six research focus areas to study the complex processes associated with Earth-system science; Atmospheric Composition, Carbon Cycle and Ecosystems, Climate Variability and Change, Earth Surface and Interior, Water and Energy Cycle, and Weather. Through observations-based Earth-science research results, NASA and its partners are establishing predictive capabilities for future projections of natural and human perturbations on the planet. The focus of this presentation is on the use of research results and their associated uncertainties from several of NASA's nine next generation missions for societal benefit. The newly launched missions are, (1) CloudSat, and (2) CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observations), both launched April 28, 2006, and the planned next generation missions include, (3) the Orbiting Carbon Observatory (OCO), (4) the Global Precipitation Mission (GPM), (5) the Landsat Data Continuity Mission (LDCM), (6) Glory, for measuring the spatial and temporal distribution of aerosols and total solar irradiance for long-term climate records, (7) Aquarius, for measuring global sea surface salinity, (8) the Ocean Surface Topography Mission (OSTM), and (9) the NPOESS Preparatory Project (NPP) for measuring long-term climate trends and global biological productivity. NASA's Applied Sciences Program is taking a scientifically rigorous systems engineering approach to facilitate rapid prototyping of potential uses of the projected research capabilities of these new missions into decision support systems. This presentation includes an example of a prototype experiment that focuses on two of the Applied Sciences Program's twelve National Applications focus areas, Water Management and Energy Management. This experiment is utilizing research results and associated uncertainties from existing Earth-observation missions as well as from several of NASA's nine next generation missions. This prototype experiment is simulating decision support analysis and research results leading to priority management and/or policy issues concentrating on climate change and uncertainties in alpine areas on the watershed scale.

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.

Transitional Patterns of Adolescent Females in Non-Traditional Career Paths.

ERIC Educational Resources Information Center

Ciccocioppo, Anna-Lisa; Stewin, Leonard L.; Madill, Helen M.; Montgomerie, T. Craig; Tovell, Dorothy R.; Armour, Margaret-Ann; Fitzsimmons, George W.

2002-01-01

Examines the factors that affected the career decision-making of adolescent females and young women in undergraduate science, engineering, and technology programs. Qualitative analysis was used to uncover seven themes: transition from high school, educational influences, family influences, academic issues, coursework management, gender issues, and…

SCIENCE MISCONDUCT ACTIVITIES IN ENVIRONMENTAL ANALYSIS - FRAUD DETECTION IN GC/MS/ICP ACTIVITIES

EPA Science Inventory

Contracted laboratories perform a vast number of routine and special analytical services that are the foundation of decisions upon which rests the fate of the environment. Guiding these laboratories in the generation of environmental data has been the analytical protocols and th...

An Analysis of Environmental Sustainability Instruction in California Public High Schools

ERIC Educational Resources Information Center

Knapp, Jeanne Louise

2012-01-01

Concepts of sustainability around working, living, natural, and built environments are complex and interdisciplinary. Preparation for post-secondary roles and decision making in college, among careers, and as citizens includes a working knowledge of interrelated social, economic, and science-related activities differentially impacting…

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…

Inventing a Space Mission: The Story of the Herschel Space Observatory

NASA Astrophysics Data System (ADS)

Minier, Vincent; Bonnet, Roger-Maurice; Bontems, Vincent; de Graauw, Thijs; Griffin, Matt; Helmich, Frank; Pilbratt, Göran; Volonte, Sergio

This book describes prominent technological achievements within a very successful space science mission: the Herschel space observatory. Focusing on the various processes of innovation it offers an analysis and discussion of the social, technological and scientific context of the mission that paved the way to its development. It addresses the key question raised by these processes in our modern society, i.e.: how knowledge management of innovation set the conditions for inventing the future? In that respect the book is based on a transdisciplinary analysis of the programmatic complexity of Herschel, with inputs from space scientists, managers, philosophers, and engineers. This book is addressed to decision makers, not only in space science, but also in other industries and sciences using or building large machines. It is also addressed to space engineers and scientists as well as students in science and management.

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.

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.

Workshop: Community Based Environmental Decision Making, Proceedings of the Fifth Workshop in the Environmental Policy and Economics Workshop Series (2000)

EPA Pesticide Factsheets

Proceedings from a one-day workshop cosponsored by US EPA Office of Economy and Environment and National Center for Environmental Research and the National Science Foundation Decision, Risk,and Management Science Program on community-based decision making

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.

Factors related to the decision of men and women to continue taking science courses in college

NASA Astrophysics Data System (ADS)

Deboer, George E.

The purpose of this study was to determine the importance of the transition between a student's initial collegiate science experience and the decision to continue in science, and whether the reasons students give to explain their success or failure in their first course are related to that decision. Attribution theory provided the framework for investigating these factors. The results showed that for unsuccessful students, the plan to continue in science was unrelated to gender, mathematical aptitude, performance in the first science course, or attributions to luck, effort, ability, or task difficulty. For successful students, the plan to continue in science was directly related to attributions to ability, and inversely related to task difficulty. The results demonstrate the importance of a sense of competence for students who continue in science.

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…

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.

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.

Impacts of Geospatial Information for Decision Making

NASA Astrophysics Data System (ADS)

Pearlman, F.; Coote, A.; Friedl, L.; Stewart, M.

2012-12-01

Geospatial information contributes to decisions by both societal and individual decision-makers. More effective use of this information is essential as issues are increasingly complex and consequences can be critical for future economic and social development. To address this, a workshop brought together analysts, communicators, officials, and researchers from academia, government, non-governmental organizations, and the private sector. A range of policy issues, management needs, and resource requirements were discussed and a wide array of analyses, geospatial data, methods of analysis, and metrics were presented for assessing and communicating the value of geospatial information. It is clear that there are many opportunities for integrating science and engineering disciplines with the social sciences for addressing societal issues that would benefit from using geospatial information and earth observations. However, these collaborations must have outcomes that can be easily communicated to decision makers. This generally requires either succinct quantitative statements of value based on rigorous models and/or user testimonials of actual applications that save real money. An outcome of the workshop is to pursue the development of a community of practice or society that encompasses a wide range of scientific, social, management, and communication disciplines and fosters collaboration across specialties, helping to build trust across social and science aspects. A resource base is also necessary. This presentation will address approaches for creating a shared knowledge database, containing a glossary of terms, reference materials and examples of case studies and the potential applications for benefit analyses.

Decision-making and evaluation of science causal claims: Effects of goals on uses of evidence and explanatory mechanism

NASA Astrophysics Data System (ADS)

Wong, Jacqueline Yin Sang

2015-10-01

Evidence and explanatory mechanism are central to scientific practices. Using such information could also inform decisions about issues in which science can play some role, from policy issues like climate change to personal issues like vaccination. While research suggests that people tend to focus on non-science considerations when making science-related decisions, there is also evidence that people can reason very productively with evidence and mechanism. This study examines how the goals participants pursue when reading a science report influences how they attend to information about causal mechanism and evidence. Two hundred and seventeen high school students were asked either to evaluate the truth of a scientific claim, to make a personal decision based on the claim, or to make a social policy decision based on the claim using an online task-based survey. All three groups of participants attended to evidence and mechanism, but participants with different goals requested different types of information and were influenced by evidence and mechanism for different reasons. The findings suggest that goals influence how participants use evidence and mechanism.

Structural Equation Model Trees

ERIC Educational Resources Information Center

Brandmaier, Andreas M.; von Oertzen, Timo; McArdle, John J.; Lindenberger, Ulman

2013-01-01

In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques. SEM Trees combine the strengths of SEMs and the decision tree paradigm by building tree…

Science priorities for the human dimensions of global change

NASA Technical Reports Server (NTRS)

1994-01-01

The topics covered include the following: defining research needs; understanding land use change; improving policy analysis -- research on the decision-making process; designing policy instruments and institutions to address energy-related environmental problems; assessing impacts, vulnerability, and adaptation to global changes; and understanding population dynamics and global change.

A Land-Use-Planning Simulation Using Google Earth

ERIC Educational Resources Information Center

Bodzin, Alec M.; Cirucci, Lori

2009-01-01

Google Earth (GE) is proving to be a valuable tool in the science classroom for understanding the environment and making responsible environmental decisions (Bodzin 2008). GE provides learners with a dynamic mapping experience using a simple interface with a limited range of functions. This interface makes geospatial analysis accessible and…

Kitzmiller v. Dover: A Public Policy Analysis

ERIC Educational Resources Information Center

Hayashi, Adam

2010-01-01

The Intelligent Design Movement has attempted to infuse Intelligent Design into the curriculum of public schools ever since the Edwards decision, which ruled that "creation science" was a violation of the the "Establishment Clause. Kitzmiller v. Dover" was the first legal case to challenge the teaching of Intelligent Design in…

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…

Stratospheric Aerosol and Gas Experiment, SAGE III on ISS, An Earth Science Mission on the International Space Station, Schedule Risk Analysis, A Project Perspective

NASA Technical Reports Server (NTRS)

Bonine, Lauren

2015-01-01

The presentation provides insight into the schedule risk analysis process used by the Stratospheric Aerosol and Gas Experiment III on the International Space Station Project. The presentation focuses on the schedule risk analysis process highlighting the methods for identification of risk inputs, the inclusion of generic risks identified outside the traditional continuous risk management process, and the development of tailored analysis products used to improve risk informed decision making.

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

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...

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…

Scientific Literacy for Democratic Decision-Making

ERIC Educational Resources Information Center

Yacoubian, Hagop A.

2018-01-01

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…

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.

Minerva: An Integrated Geospatial/Temporal Toolset for Real-time Science Decision Making and Data Collection

NASA Astrophysics Data System (ADS)

Lees, D. S.; Cohen, T.; Deans, M. C.; Lim, D. S. S.; Marquez, J.; Heldmann, J. L.; Hoffman, J.; Norheim, J.; Vadhavk, N.

2016-12-01

Minerva integrates three capabilities that are critical to the success of NASA analogs. It combines NASA's Exploration Ground Data Systems (xGDS) and Playbook software, and MIT's Surface Exploration Traverse Analysis and Navigation Tool (SEXTANT). Together, they help to plan, optimize, and monitor traverses; schedule and track activity; assist with science decision-making and document sample and data collection. Pre-mission, Minerva supports planning with a priori map data (e.g., UAV and satellite imagery) and activity scheduling. During missions, xGDS records and broadcasts live data to a distributed team who take geolocated notes and catalogue samples. Playbook provides live schedule updates and multi-media chat. Post-mission, xGDS supports data search and visualization for replanning and analysis. NASA's BASALT (Biologic Analog Science Associated with Lava Terrains) and FINESSE (Field Investigations to Enable Solar System Science and Exploration) projects use Minerva to conduct field science under simulated Mars mission conditions including 5 and 15 minute one-way communication delays. During the recent BASALT-FINESSE mission, two field scientists (EVA team) executed traverses across volcanic terrain to characterize and sample basalts. They wore backpacks with communications and imaging capabilities, and carried field portable spectrometers. The Science Team was 40 km away in a simulated mission control center. The Science Team monitored imaging (video and still), spectral, voice, location and physiological data from the EVA team via the network from the field, under communication delays. Minerva provided the Science Team with a unified context of operations at the field site, so they could make meaningful remote contributions to the collection of 10's of geotagged samples. Minerva's mission architecture will be presented with technical details and capabilities. Through the development, testing and application of Minerva, we are defining requirements for the design of future capabilities to support human and human-robotic missions to deep space and Mars.

Linking science and decision making to promote an ecology for the city: practices and opportunities

Treesearch

Morgan Grove; Daniel L. Childers; Michael Galvin; Sarah J. Hines; Tischa Munoz-Erickson; Erika S. Svendsen

2016-01-01

To promote urban sustainability and resilience, there is an increasing demand for actionable science that links science and decision making based on social–ecological knowledge. Approaches, frameworks, and practices for such actionable science are needed and have only begun to emerge. We propose that approaches based on the co- design and co- production of knowledge...

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.

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.

What is your reasonable expectation of success in obtaining pharmaceutical or biotechnology patents having nonobvious claimed inventions that the courts will uphold? An overview of obviousness court decisions.

PubMed

Pereira, Daniel J; Kunin, Stephen G

2014-12-04

This article explores the legal basis for establishing the nonobviousness of patent claims in the life sciences fields of technology drawn from the guidance provided in published decisions of the U.S. Patent and Trademark Office's Patent Trial and Appeal Board, federal district courts, the Federal Circuit Court of Appeals, and the U.S. Supreme Court. Our analysis, although equally applicable to all disciplines and technologies, focuses primarily on decisions of greatest import affecting patents in the fields of pharmaceutical chemistry and biotechnology. Copyright © 2015 Cold Spring Harbor Laboratory Press; all rights reserved.

The Quantitative Evaluation of the Clinical and Translational Science Awards (CTSA) Program Based on Science Mapping and Scientometric Analysis

PubMed Central

Zhang, Yin; Wang, Lei

2013-01-01

Abstract The Clinical and Translational Science Awards (CTSA) program is one of the most important initiatives in translational medical funding. The quantitative evaluation of the efficiency and performance of the CTSA program has a significant referential meaning for the decision making of global translational medical funding. Using science mapping and scientometric analytic tools, this study quantitatively analyzed the scientific articles funded by the CTSA program. The results of the study showed that the quantitative productivities of the CTSA program had a stable increase since 2008. In addition, the emerging trends of the research funded by the CTSA program covered clinical and basic medical research fields. The academic benefits from the CTSA program were assisting its members to build a robust academic home for the Clinical and Translational Science and to attract other financial support. This study provided a quantitative evaluation of the CTSA program based on science mapping and scientometric analysis. Further research is required to compare and optimize other quantitative methods and to integrate various research results. PMID:24330689

The quantitative evaluation of the Clinical and Translational Science Awards (CTSA) program based on science mapping and scientometric analysis.

PubMed

Zhang, Yin; Wang, Lei; Diao, Tianxi

2013-12-01

The Clinical and Translational Science Awards (CTSA) program is one of the most important initiatives in translational medical funding. The quantitative evaluation of the efficiency and performance of the CTSA program has a significant referential meaning for the decision making of global translational medical funding. Using science mapping and scientometric analytic tools, this study quantitatively analyzed the scientific articles funded by the CTSA program. The results of the study showed that the quantitative productivities of the CTSA program had a stable increase since 2008. In addition, the emerging trends of the research funded by the CTSA program covered clinical and basic medical research fields. The academic benefits from the CTSA program were assisting its members to build a robust academic home for the Clinical and Translational Science and to attract other financial support. This study provided a quantitative evaluation of the CTSA program based on science mapping and scientometric analysis. Further research is required to compare and optimize other quantitative methods and to integrate various research results. © 2013 Wiley Periodicals, Inc.

Social decision making mediates the association between anger and externalising problems in Chinese adolescents.

PubMed

Li, Nan; Hein, Sascha; Ye, Lin; Liu, Yangyang

2018-04-06

The goal of this study was to test the mediating effect of social decision making in the relations of anger and anger control to externalising and internalising problems. A sample of 174 Chinese adolescents (mean age = 15.36 years) completed self-reports of trait anger, anger control, externalising problems, internalising problems and social decision making, which was operationalized as situational judgement reflecting an individual's ability to interact effectively with parents, teachers and peers. Findings indicated that adolescents' trait anger and anger control were positively related to both externalising and internalising problems. In addition, path analysis revealed that social decision making mediated the relationship between trait anger, anger control and externalising problems. Findings on the mediating effect will be discussed by referencing appraisal tendency theory and response evaluation and decision. © 2018 International Union of Psychological Science.

Herding, social influence and economic decision-making: socio-psychological and neuroscientific analyses.

PubMed

Baddeley, Michelle

2010-01-27

Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour as either rational or not rational, is too narrow and stark. Behaviour may reflect an interaction of cognitive and emotional factors and this can be captured more effectively using an approach that focuses on the interplay of different decision-making systems. In understanding the mechanisms affecting economic and financial decision-making, an interdisciplinary approach is needed which incorporates ideas from a range of disciplines including sociology, economic psychology, evolutionary biology and neuroeconomics.

Sustainability Tools Inventory - Initial Gaps Analysis | Science ...

EPA Pesticide Factsheets

This report identifies a suite of tools that address a comprehensive set of community sustainability concerns. The objective is to discover whether "gaps" exist in the tool suite’s analytic capabilities. These tools address activities that significantly influence resource consumption, waste generation, and hazard generation including air pollution and greenhouse gases. In addition, the tools have been evaluated using four screening criteria: relevance to community decision making, tools in an appropriate developmental stage, tools that may be transferrable to situations useful for communities, and tools with requiring skill levels appropriate to communities. This document provides an initial gap analysis in the area of community sustainability decision support tools. It provides a reference to communities for existing decision support tools, and a set of gaps for those wishing to develop additional needed tools to help communities to achieve sustainability. It contributes to SHC 1.61.4

Herding, social influence and economic decision-making: socio-psychological and neuroscientific analyses

PubMed Central

Baddeley, Michelle

2010-01-01

Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour as either rational or not rational, is too narrow and stark. Behaviour may reflect an interaction of cognitive and emotional factors and this can be captured more effectively using an approach that focuses on the interplay of different decision-making systems. In understanding the mechanisms affecting economic and financial decision-making, an interdisciplinary approach is needed which incorporates ideas from a range of disciplines including sociology, economic psychology, evolutionary biology and neuroeconomics. PMID:20026466

System design of the Pioneer Venus spacecraft. Volume 3: Systems analysis

NASA Technical Reports Server (NTRS)

Fisher, J. N.

1973-01-01

The mission, systems, operations, ground systems, and reliability analysis of the Thor/Delta baseline design used for the Pioneer Space Probe are discussed. Tradeoff decisions concerning spin axis orientation, bus antenna design, communication system design, probe descent, and reduced science payload are analyzed. The reliability analysis is made for the probe bus mission, large probe mission, and small probe mission. Detailed mission sequences were established to identify critical areas and provide phasing of critical operation.

Toward the adoption of complexity science in health care: implications for risk-taking and decision-making activities.

PubMed

Perez, Bianca; Liberman, Aaron

2011-01-01

This article explores the issues of risk taking and decision making in health care. An analysis of various sociocultural and psychological influences is provided for understanding of the dominant mind set in this industry. In tandem with this analysis, the evolution of system theories is described so as to promote understanding of the relative merits of the mechanistic and complexity philosophies. These philosophies are at odds with each other, conceptually and practically speaking; however, it seems that the complexity approach offers more promising strategies for the growth and development of health care. Recommendations for improving employee competencies and the organizational structure and culture in health care are offered in light of this analysis. These recommendations are relevant to activities that are clinical and administrative in nature.

Dynamic development of public attitudes towards science policymaking.

PubMed

Okamura, Keisuke

2016-05-01

Understanding the heterogeneity of mechanisms that form public attitudes towards science and technology policymaking is essential to the establishment of an effective public engagement platform. Using the 2011 public opinion survey data from Japan (n = 6,136), I divided the general public into three categories: the Attentive public, who are willing to actively engage with science and technology policymaking dialogue; the Interested public, who have moderate interest in science and technology but rely on experts for policy decisions; and the Residual public, who have minimal interest in science and technology. On the basis of the results of multivariate regression analysis, I have identified several key predispositions towards science and technology and other socio-demographic characteristics that influence the shift of individuals from one category of the general public to another. The findings provide a foundation for understanding how to induce more accountable, evidence-based science and technology policymaking. © The Author(s) 2015.

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.

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

NASA Astrophysics Data System (ADS)

Gordon, E.; Lukas, J.

2009-12-01

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

Professional choices and teacher identities in the Science Teacher Education Program at EACH/USP

NASA Astrophysics Data System (ADS)

Dominguez, Celi Rodrigues Chaves; Viviani, Luciana Maria; Cazetta, Valéria; Guridi, Verónica Marcela; Faht, Elen Cristina; Pioker, Fabiana Curtopassi; Cubero, Josely

2015-12-01

In this article, we present results from a research project in which the main aim was to understand students' decision-making processes in choosing to become a teacher and to make sense of the relationships between this process and the formation of their identity as a teacher. The study was conducted with 39 students from the Science Teacher Education Program (LCN) at the São Paulo University (USP) School of Arts, Sciences, and Humanities (EACH) in Brazil while the students engaged in a supervised practical internship. The data used in this study was collected from narratives written by the students in which they provided their reasons for selecting the LCN program and for choosing a teaching career. The analysis showed several elements contributing to their decision making and the formation of their identities as teachers, including the nature of the undergraduate program, representational models of teaching/teachers, the possibility of being an agent for social transformation, and an affinity toward natural sciences and/or education. Findings from this research offer implications for improvement of the LCN program and suggestions for designing teacher education programs to include actions for improving the teaching career as a life project for new students.

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.

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…

Configuring Epistemic Authority: The Significance of Film Style in Documentaries about Science.

PubMed

Mellor, Felicity

2018-03-01

Argument Among the many limitations of the deficit model of science communication is its inability to account for the qualities of communication products that arise from creative decisions about form and style. This paper examines two documentaries about the nature of time - Patricio Guzmán's Nostalgia for the Light and the first episode of the BBC's Wonders of the Universe series - in order to consider how film style inflects science with different meanings. The analysis pays particular attention to the ways in which authority is assigned between film author, narrator, and depicted subjects and the degree to which different film styles promote epistemological certainty or hesitancy.

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.

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…

Co-Production of Actionable Science: Recommendations to the Secretary of Interior and a San Francisco Case Study

NASA Astrophysics Data System (ADS)

Behar, D. H.; Pfeffer, W. T.; Beier, P.

2015-12-01

"Actionable Science provides data, analyses, projections, or tools that can support decisions regarding the management of the risks and impacts of climate change. It is ideally co-produced by scientists and decision makers and creates rigorous and accessible products to meet the needs of stakeholders. (Report to the Secretary of the Interior, Advisory Committee on Climate Change and Natural Resource Science (ACCCNRS), March 30, 2015)During one 17 month period ending in 2013, three major reports on sea level rise from three highly respected science providers produced three divergent estimates of sea level rise. These reports collectively flummoxed the lay reader seeking direction for adaptation planning. Guidance documents soon emerged from state entities which caused further confusion. The City and County of San Francisco began developing "Guidance for Incorporating Sea Level Rise into Capital Planning" in 2013 at the direction of San Francisco Mayor Edwin Lee (http://onesanfrancisco.org/staff-resources/sea-level-rise-guidance/). The first task in developing this Guidance was to convert these highly technical reports into "actionable science." This required extensive expert elicitation to tease out their meaning and use value for decision making. This process, which resulted in detailed guidance on the use of SLR science in planning, is increasingly being called "co-production."Co-production requires both scientist and decision-maker to hear the other's perspective, reflect upon the decision-maker's precise needs, and translate peer review science into lay language and practical advice for decision making. The co-production dynamic was the subject of extensive discussion in the federal Advisory Committee on Climate Change and Natural Resource Science. The ACCCNRS recommendations (https://nccwsc.usgs.gov/acccnrs) include not only the new definition of Actionable Science cited above, but also a "How-To-Guide" that outlines principles for successfully creating a co-production environment and case studies highlighting where this has worked to date.This talk will summarize our state of understanding of "actionable science" and this new "co-production" dynamic within climate change science and planning, with focused reference on recent case studies, particularly San Francisco.

When decision heuristics and science collide.

PubMed

Yu, Erica C; Sprenger, Amber M; Thomas, Rick P; Dougherty, Michael R

2014-04-01

The ongoing discussion among scientists about null-hypothesis significance testing and Bayesian data analysis has led to speculation about the practices and consequences of "researcher degrees of freedom." This article advances this debate by asking the broader questions that we, as scientists, should be asking: How do scientists make decisions in the course of doing research, and what is the impact of these decisions on scientific conclusions? We asked practicing scientists to collect data in a simulated research environment, and our findings show that some scientists use data collection heuristics that deviate from prescribed methodology. Monte Carlo simulations show that data collection heuristics based on p values lead to biases in estimated effect sizes and Bayes factors and to increases in both false-positive and false-negative rates, depending on the specific heuristic. We also show that using Bayesian data collection methods does not eliminate these biases. Thus, our study highlights the little appreciated fact that the process of doing science is a behavioral endeavor that can bias statistical description and inference in a manner that transcends adherence to any particular statistical framework.

Addressing Houston's Bad Air Days: Advancing Environmental Justice Advocacy with Geospatial Analysis and Science Communication

NASA Astrophysics Data System (ADS)

Johnson, C.; White, R.; Phartiyal, P.

2016-12-01

Evidence indicates that chronic exposure to chemical pollutants contributes to and exacerbates negative health impacts, and that the burden of exposure falls disproportionately upon low-income, Black, and Latino communities. These data, however, are often inaccessible or too technical for the community groups who need it to raise public awareness and to inform decision makers. Recognizing the many challenges of communicating science to a non-technical audience, the Center for Science and Democracy at the Union of Concerned Scientists, a science-based policy and advocacy organization, partnered with Texas Environmental Justice Advocacy Services (TEJAS), an environmental justice organization based in Manchester in Houston, to develop products that would visualize the technical information needed to strengthen TEJAS' advocacy work. The products were created with the intention of educating and engaging community members and to raise the profile of these issues with community residents, local government and regional EPA officials. Together, we were able to map the geographic distribution of contaminants, health risks, and demographic information to tell the story of inequity in Houston. Our spatial analysis accounts for multiple sources of air pollution exposure and associated health risks, overlaid with demographic information in Manchester. The talk will discuss the various ways we used maps to display high level data to be accessible for community members. The analysis will ultimately be used by TEJAS to strengthen its advocacy around chemical safety by: 1) educating community members on the hazards and health risks of local pollutants, 2) increasing community awareness of local emergency planning and response procedures, and 3) providing scientific evidence to decision makers to demand prevention and reduction in chemical exposure for their community.

Scientific decision-making and stakeholder consultations: the case of salt recommendations.

PubMed

Timotijevic, Lada; Barnett, Julie; Brown, Kerry; Raats, Monique M; Shepherd, Richard

2013-05-01

Scientific advisory committees (SACs) are seen as "boundary organisations" working at the interface between science, policy and society. Although their narrowly defined remit of risk assessment is anchored in notions of rationality, objectivity, and reason, in reality, their sources for developing recommendations are not limited to scientific evidence. There is a growing expectation to involve non-scientific sources of information in the formation of knowledge, including the expectation of stakeholder consultation in forming recommendations. Such a move towards "democratisation" of scientific processes of decision-making within SACs has been described and often studied as "post-normal science" (PNS) (Funtowicz & Ravetz, 1993). In the current paper we examine the application of PNS in practice through a study of stakeholder consultations within the workings of the UK Scientific Advisory Committee for Nutrition (SACN). We use the theoretical insights from PNS-related studies to structure the analysis and examine the way in which PNS tenets resonate with the practices of SACN. We have selected a particular case of the SACN UK recommendations for salt as it is characterized by scientific controversy, uncertainty, vested interests and value conflict. We apply the tenets of PNS through documentary analysis of the SACN Salt Subgroup (SSG) consultation documents published in 2002/2003: the minutes of the 5 SACN SSG's meetings which included summary of the SACN SSG's stakeholder consultation and the SSG's responses to the consultation. The analysis suggests that the SACN consultation can be construed as a process of managing sources of risk to its organisation. Thus, rather than being an evidence of post-normal scientific practice, engagement became a mechanism for confirming the specific framing of science that is resonant with technocratic models of science holding authority over the facts. The implications for PNS theory are discussed. Copyright © 2013 Elsevier Ltd. All rights reserved.

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).

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.

Power in the City: Decision Making in San Francisco.

ERIC Educational Resources Information Center

Wirt, Frederick M.

This study attempts to apply contemporary political science theories to an analysis of the politics of San Francisco in the 1970's. Data for the study was gathered through personal interviews with knowledgeable observers and participants in San Francisco politics, through an extensive review of various governmental reports and data, and through…

What's the Denominator? A Lesson on Risk

ERIC Educational Resources Information Center

Dougherty, Michael J.; McInerney, Joseph D.

2009-01-01

Mathematics is at the heart of all science and is central to the interpretation of research findings in settings ranging from the clinical application of new medications to personal decisions about acceptable levels of risk. Unfortunately, many Americans, including most students, have a poor grasp of mathematics, and rational risk analysis is one…

User Guidelines and Best Practices for CASL VUQ Analysis Using Dakota.

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

Adams, Brian M.; Coleman, Kayla; Hooper, Russell

2016-11-01

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility.

To Spray or Not To Spray? A Debate Over DDT.

ERIC Educational Resources Information Center

Dinan, Frank J.; Bieron, Joseph F.

2001-01-01

Presents an activity in which students grapple with the complex issues surrounding the use of DDT to control malaria which affects millions of people in developing nations. Considers risk/benefit analysis and the pre-cautionary principle, two techniques used when making policy decisions involving the impact of science and technology on society.…

Framing of Uncertainty in Scientific Publications: Towards Recommendations for Decision Support

NASA Astrophysics Data System (ADS)

Guillaume, J. H. A.; Helgeson, C.; Elsawah, S.; Jakeman, A. J.; Kummu, M.

2016-12-01

Uncertainty is recognised as an essential issue in environmental decision making and decision support. As modellers, we notably use a variety of tools and techniques within an analysis, for example related to uncertainty quantification and model validation. We also address uncertainty by how we present results. For example, experienced modellers are careful to distinguish robust conclusions from those that need further work, and the precision of quantitative results is tailored to their accuracy. In doing so, the modeller frames how uncertainty should be interpreted by their audience. This is an area which extends beyond modelling to fields such as philosophy of science, semantics, discourse analysis, intercultural communication and rhetoric. We propose that framing of uncertainty deserves greater attention in the context of decision support, and that there are opportunities in this area for fundamental research, synthesis and knowledge transfer, development of teaching curricula, and significant advances in managing uncertainty in decision making. This presentation reports preliminary results of a study of framing practices. Specifically, we analyse the framing of uncertainty that is visible in the abstracts from a corpus of scientific articles. We do this through textual analysis of the content and structure of those abstracts. Each finding that appears in an abstract is classified according to the uncertainty framing approach used, using a classification scheme that was iteratively revised based on reflection and comparison amongst three coders. This analysis indicates how frequently the different framing approaches are used, and provides initial insights into relationships between frames, how the frames relate to interpretation of uncertainty, and how rhetorical devices are used by modellers to communicate uncertainty in their work. We propose initial hypotheses for how the resulting insights might influence decision support, and help advance decision making to better address uncertainty.

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…

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…

To Stay or Leave: Factors That Impact Undergraduate Women's Persistence in Science Majors

ERIC Educational Resources Information Center

Gayles, Joy Gaston; Ampaw, Frim

2016-01-01

This study examined factors that influenced undergraduates' decision to enter, leave, or stay within science majors. In addition, we sought to understand if such decisions differed by gender and type of science major. Using Beginning Postsecondary Students (BPS) longitudinal survey data, we found that women were less likely to select a science…

Analyzing stakeholder preferences for managing elk and bison at the National Elk Refuge and Grand Teton National Park: An example of the disparate stakeholder management approach

USGS Publications Warehouse

Koontz, Lynne; Hoag, Dana L.

2005-01-01

Many programs and tools have been developed by different disciplines to facilitate group negotiation and decision making. Three examples are relevant here. First, decision analysis models such as the Analytical Hierarchy Process (AHP) are commonly used to prioritize the goals and objectives of stakeholders’ preferences for resource planning by formally structuring conflicts and assisting decision makers in developing a compromised solution (Forman, 1998). Second, institutional models such as the Legal Institutional Analysis Model (LIAM) have been used to describe the organizational rules of behavior and the institutional boundaries constraining management decisions (Lamb and others, 1998). Finally, public choice models have been used to predict the potential success of rent-seeking activity (spending additional time and money to exert political pressure) to change the political rules (Becker, 1983). While these tools have been successful at addressing various pieces of the natural resource decision making process, their use in isolation is not enough to fully depict the complexities of the physical and biological systems with the rules and constraints of the underlying economic and political systems. An approach is needed that combines natural sciences, economics, and politics.

Communicating scientific uncertainty

PubMed Central

Fischhoff, Baruch; Davis, Alex L.

2014-01-01

All science has uncertainty. Unless that uncertainty is communicated effectively, decision makers may put too much or too little faith in it. The information that needs to be communicated depends on the decisions that people face. Are they (i) looking for a signal (e.g., whether to evacuate before a hurricane), (ii) choosing among fixed options (e.g., which medical treatment is best), or (iii) learning to create options (e.g., how to regulate nanotechnology)? We examine these three classes of decisions in terms of how to characterize, assess, and convey the uncertainties relevant to each. We then offer a protocol for summarizing the many possible sources of uncertainty in standard terms, designed to impose a minimal burden on scientists, while gradually educating those whose decisions depend on their work. Its goals are better decisions, better science, and better support for science. PMID:25225390

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.

Releases of whooping cranes to the Florida nonmigratory flock: a structured decision-making approach: report to the International Whooping Crane Recovery Team, September 22, 2008

USGS Publications Warehouse

Moore, Clinton T.; Converse, Sarah J.; Folk, Martin J.; Boughton, Robin; Brooks, Bill; French, John B.; O'Meara, Timothy; Putnam, Michael; Rodgers, James; Spalding, Marilyn

2008-01-01

We used a structured decision-making approach to inform the decision of whether the Florida Fish and Wildlife Conservation Commission should request of the International Whooping Crane Recovery Team that additional whooping crane chicks be released into the Florida Non-Migratory Population (FNMP). Structured decision-making is an application of decision science that strives to produce transparent, replicable, and defensible decisions that recognize the appropriate roles of management policy and science in decision-making. We present a multi-objective decision framework, where management objectives include successful establishment of a whooping crane population in Florida, minimization of costs, positive public relations, information gain, and providing a supply of captive-reared birds to alternative crane release projects, such as the Eastern Migratory Population. We developed models to predict the outcome relative to each of these objectives under 29 different scenarios of the release methodology used from 1993 to 2004, including options of no further releases and variable numbers of releases per year over the next 5-30 years. In particular, we developed a detailed set of population projection models, which make substantially different predictions about the probability of successful establishment of the FNMP. We used expert elicitation to develop prior model weights (measures of confidence in population model predictions); the results of the population model weighting and modelaveraging exercise indicated that the probability of successful establishment of the FNMP ranged from 9% if no additional releases are made, to as high as 41% with additional releases. We also used expert elicitation to develop weights (relative values) on the set of identified objectives, and we then used a formal optimization technique for identifying the optimal decision, which considers the tradeoffs between objectives. The optimal decision was identified as release of 3 cohorts (24 birds) per year over the next 10 years. However, any decision that involved release of 1-3 cohorts (8-24 birds) per year over the next 5 to 20 years, as well as decisions that involve skipping releases in every other year, performed better in our analysis than the alternative of no further releases. These results were driven by the relatively high objective weights that experts placed on the population objective (i.e., successful establishment of the FNMP) and the information gain objective (where releases are expected to accelerate learning on what was identified as a primary uncertainty: the demographic performance of wild-hatched birds). Additional considerations that were not formally integrated into the analysis are also discussed.

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.

Agricultural land management options after the Chernobyl and Fukushima accidents: The articulation of science, technology, and society.

PubMed

Vandenhove, Hildegarde; Turcanu, Catrinel

2016-10-01

The options adopted for recovery of agricultural land after the Chernobyl and Fukushima accidents are compared by examining their technical and socio-economic aspects. The analysis highlights commonalities such as the implementation of tillage and other types of countermeasures and differences in approach, such as preferences for topsoil removal in Fukushima and the application of K fertilizers in Chernobyl. This analysis shows that the recovery approach needs to be context-specific to best suit the physical, social, and political environment. The complex nature of the decision problem calls for a formal process for engaging stakeholders and the development of adequate decision support tools. Integr Environ Assess Manag 2016;12:662-666. © 2016 SETAC. © 2016 SETAC.

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.

ECONOMICS AND DECISION SCIENCES MULTI-YEAR PLAN

EPA Science Inventory

As long as environmental policy is designed to change behaviors that cause environmental problems, economics and decision sciences research will be essential to understanding these behaviors. In addition, this research informs state and federal environmental agencies on how best ...

Forensic identification science evidence since Daubert: Part II--judicial reasoning in decisions to exclude forensic identification evidence on grounds of reliability.

PubMed

Page, Mark; Taylor, Jane; Blenkin, Matt

2011-07-01

Many studies regarding the legal status of forensic science have relied on the U.S. Supreme Court's mandate in Daubert v. Merrell Dow Pharmaceuticals Inc., and its progeny in order to make subsequent recommendations or rebuttals. This paper focuses on a more pragmatic approach to analyzing forensic science's immediate deficiencies by considering a qualitative analysis of actual judicial reasoning where forensic identification evidence has been excluded on reliability grounds since the Daubert precedent. Reliance on general acceptance is becoming insufficient as proof of the admissibility of forensic evidence. The citation of unfounded statistics, error rates and certainties, a failure to document the analytical process or follow standardized procedures, and the existence of observe bias represent some of the concerns that have lead to the exclusion or limitation of forensic identification evidence. Analysis of these reasons may serve to refocus forensic practitioners' testimony, resources, and research toward rectifying shortfalls in these areas. © 2011 American Academy of Forensic Sciences.

Communication as a Strategic Activity (Invited)

NASA Astrophysics Data System (ADS)

Fischhoff, B.

2010-12-01

Effective communication requires preparation. The first step is explicit analysis of the decisions faced by audience members, in order to identify the facts essential to their choices. The second step is assessing their current beliefs, in order to identify the gaps in their understanding, as well as their natural ways of thinking. The third step is drafting communications potentially capable of closing those gaps, taking advantage of the relevant behavioral science. The fourth step is empirically evaluating those communications, refining them as necessary. The final step is communicating through trusted channels, capable of getting the message out and receiving needed feedback. Executing these steps requires a team involving subject matter experts (for ensuring that the science is right), decision analysts (for identifying the decision-critical facts), behavioral scientists (for designing and evaluating messages), and communication specialists (for creating credible channels). Larger organizations should be able to assemble those teams and anticipate their communication needs. However, even small organizations, individuals, or large organizations that have been caught flat-footed can benefit from quickly assembling informal teams, before communicating in ways that might undermine their credibility. The work is not expensive, but does require viewing communication as a strategic activity, rather than an afterthought. The talk will illustrate the science base, with a few core research results; note the risks of miscommunication, with a few bad examples; and suggest the opportunities for communication leadership, focusing on the US Food and Drug Administration.

Interpretation of diagnostic data: 6. How to do it with more complex maths.

PubMed

1983-11-15

We have now shown you how to use decision analysis in making those rare, tough diagnostic decisions that are not soluble through other, easier routes. In summary, to "use more complex maths" the following steps will be useful: Create a decision tree or map of all the pertinent courses of action and their consequences. Assign probabilities to the branches of each chance node. Assign utilities to each of the potential outcomes shown on the decision tree. Combine the probabilities and utilities for each node on the decision tree. Pick the decision that leads to the highest expected utility. Test your decision for its sensitivity to clinically sensible changes in probabilities and utilities. That concludes this series of clinical epidemiology rounds. You've come a long way from "doing it with pictures" and are now able to extract most of the diagnostic information that can be provided from signs, symptoms and laboratory investigations. We would appreciate learning whether you have found this series useful and how we can do a better job of presenting these and other elements of "the science of the art of medicine".

Metric Sex Determination of the Human Coxal Bone on a Virtual Sample using Decision Trees.

PubMed

Savall, Frédéric; Faruch-Bilfeld, Marie; Dedouit, Fabrice; Sans, Nicolas; Rousseau, Hervé; Rougé, Daniel; Telmon, Norbert

2015-11-01

Decision trees provide an alternative to multivariate discriminant analysis, which is still the most commonly used in anthropometric studies. Our study analyzed the metric characterization of a recent virtual sample of 113 coxal bones using decision trees for sex determination. From 17 osteometric type I landmarks, a dataset was built with five classic distances traditionally reported in the literature and six new distances selected using the two-step ratio method. A ten-fold cross-validation was performed, and a decision tree was established on two subsamples (training and test sets). The decision tree established on the training set included three nodes and its application to the test set correctly classified 92% of individuals. This percentage was similar to the data of the literature. The usefulness of decision trees has been demonstrated in numerous fields. They have been already used in sex determination, body mass prediction, and ancestry estimation. This study shows another use of decision trees enabling simple and accurate sex determination. © 2015 American Academy of Forensic Sciences.

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…

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

Mental model mapping as a new tool to analyse the use of information in decision-making in integrated water management

NASA Astrophysics Data System (ADS)

Kolkman, M. J.; Kok, M.; van der Veen, A.

The solution of complex, unstructured problems is faced with policy controversy and dispute, unused and misused knowledge, project delay and failure, and decline of public trust in governmental decisions. Mental model mapping (also called concept mapping) is a technique to analyse these difficulties on a fundamental cognitive level, which can reveal experiences, perceptions, assumptions, knowledge and subjective beliefs of stakeholders, experts and other actors, and can stimulate communication and learning. This article presents the theoretical framework from which the use of mental model mapping techniques to analyse this type of problems emerges as a promising technique. The framework consists of the problem solving or policy design cycle, the knowledge production or modelling cycle, and the (computer) model as interface between the cycles. Literature attributes difficulties in the decision-making process to communication gaps between decision makers, stakeholders and scientists, and to the construction of knowledge within different paradigm groups that leads to different interpretation of the problem situation. Analysis of the decision-making process literature indicates that choices, which are made in all steps of the problem solving cycle, are based on an individual decision maker’s frame of perception. This frame, in turn, depends on the mental model residing in the mind of the individual. Thus we identify three levels of awareness on which the decision process can be analysed. This research focuses on the third level. Mental models can be elicited using mapping techniques. In this way, analysing an individual’s mental model can shed light on decision-making problems. The steps of the knowledge production cycle are, in the same manner, ultimately driven by the mental models of the scientist in a specific discipline. Remnants of this mental model can be found in the resulting computer model. The characteristics of unstructured problems (complexity, uncertainty and disagreement) can be positioned in the framework, as can the communities of knowledge construction and valuation involved in the solution of these problems (core science, applied science, and professional consultancy, and “post-normal” science). Mental model maps, this research hypothesises, are suitable to analyse the above aspects of the problem. This hypothesis is tested for the case of the Zwolle storm surch barrier. Analysis can aid integration between disciplines, participation of public stakeholders, and can stimulate learning processes. Mental model mapping is recommended to visualise the use of knowledge, to analyse difficulties in problem solving process, and to aid information transfer and communication. Mental model mapping help scientists to shape their new, post-normal responsibilities in a manner that complies with integrity when dealing with unstructured problems in complex, multifunctional systems.

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…

Using science soundly: The Yucca Mountain standard

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

Fri, R.W.

1995-09-01

Using sound science to shape government regulation is one of the most hotly argued topics in the ongoing debate about regulatory reform. Even though no one advaocates using unsound science, the belief that even the best science will sweep away regulatory controversy is equally foolish. As chair of a National Research Council (NRC) committee that studied the scientific basis for regulating high-level nuclear waste disposal, the author learned that science alone could resolve few of the key regulatory questions. Developing a standard that specifies a socially acceptable limit on the human health effects of nuclear waste releases involves many decisions.more » As the NRC committee learned in evaluating the scientific basis for the Yucca Mountain standard, a scientifically best decision rarely exists. More often, science can only offer a useful framework and starting point for policy debates. And sometimes, science`s most helpful contribution is to admit that it has nothing to say. The Yucca mountain study clearly illustrates that excessive faith in the power of science is more likely to produce messy frustration than crisp decisions. A better goal for regulatory reform is the sound use of science to clarify and contain the inevitable policy controversy.« less

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 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.

Integrating adaptive management and ecosystem services concepts to improve natural resource management: Challenges and opportunities

USGS Publications Warehouse

Epanchin-Niell, Rebecca S.; Boyd, James W.; Macauley, Molly K.; Scarlett, Lynn; Shapiro, Carl D.; Williams, Byron K.

2018-05-07

Executive Summary—OverviewNatural resource managers must make decisions that affect broad-scale ecosystem processes involving large spatial areas, complex biophysical interactions, numerous competing stakeholder interests, and highly uncertain outcomes. Natural and social science information and analyses are widely recognized as important for informing effective management. Chief among the systematic approaches for improving the integration of science into natural resource management are two emergent science concepts, adaptive management and ecosystem services. Adaptive management (also referred to as “adaptive decision making”) is a deliberate process of learning by doing that focuses on reducing uncertainties about management outcomes and system responses to improve management over time. Ecosystem services is a conceptual framework that refers to the attributes and outputs of ecosystems (and their components and functions) that have value for humans.This report explores how ecosystem services can be moved from concept into practice through connection to a decision framework—adaptive management—that accounts for inherent uncertainties. Simultaneously, the report examines the value of incorporating ecosystem services framing and concepts into adaptive management efforts.Adaptive management and ecosystem services analyses have not typically been used jointly in decision making. However, as frameworks, they have a natural—but to date underexplored—affinity. Both are policy and decision oriented in that they attempt to represent the consequences of resource management choices on outcomes of interest to stakeholders. Both adaptive management and ecosystem services analysis take an empirical approach to the analysis of ecological systems. This systems orientation is a byproduct of the fact that natural resource actions affect ecosystems—and corresponding societal outcomes—often across large geographic scales. Moreover, because both frameworks focus on resource systems, both must confront the analytical challenges of systems modeling—in terms of complexity, dynamics, and uncertainty.Given this affinity, the integration of ecosystem services analysis and adaptive management poses few conceptual hurdles. In this report, we synthesize discussions from two workshops that considered ways in which adaptive management approaches and ecosystem service concepts may be complementary, such that integrating them into a common framework may lead to improved natural resource management outcomes. Although the literature on adaptive management and ecosystem services is vast and growing, the report focuses specifically on the integration of these two concepts rather than aiming to provide new definitions or an indepth review or primer of the concepts individually.Key issues considered include the bidirectional links between adaptive decision making and ecosystem services, as well as the potential benefits and inevitable challenges arising in the development and use of an integrated framework. Specifically, the workshops addressed the following questions:How can application of ecosystem service analysis within an adaptive decision process improve the outcomes of management and advance understanding of ecosystem service identification, production, and valuation?How can these concepts be integrated in concept and practice?What are the constraints and challenges to integrating adaptive management and ecosystem services?And, should the integration of these concepts be moved forward to wider application—and if so, how?

Strengthening forensic DNA decision making through a better understanding of the influence of cognitive bias.

PubMed

Jeanguenat, Amy M; Budowle, Bruce; Dror, Itiel E

2017-11-01

Cognitive bias may influence process flows and decision making steps in forensic DNA analyses and interpretation. Currently, seven sources of bias have been identified that may affect forensic decision making with roots in human nature; environment, culture, and experience; and case specific information. Most of the literature and research on cognitive bias in forensic science has focused on patterned evidence; however, forensic DNA testing is not immune to bias, especially when subjective interpretation is involved. DNA testing can be strengthened by recognizing the existence of bias, evaluating where it influences decision making, and, when applicable, implementing practices to reduce or control its effects. Elements that may improve forensic decision making regarding bias include cognitively informed education and training, quality assurance procedures, review processes, analysis and interpretation, and context management of irrelevant information. Although bias exists, reliable results often can be (and have been) produced. However, at times bias can (and has) impacted the interpretation of DNA results negatively. Therefore, being aware of the dangers of bias and implementing measures to control its potential impact should be considered. Measures and procedures that handicap the workings of the crime laboratory or add little value to improving the operation are not advocated, but simple yet effective measures are suggested. This article is meant to raise awareness of cognitive bias contamination in forensic DNA testing and to give laboratories possible pathways to make sound decisions to address its influences. Copyright © 2017 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Doctor-patient communication and cancer patients' choice of alternative therapies as supplement or alternative to conventional care.

PubMed

Salamonsen, Anita

2013-03-01

Cancer patients' use of complementary and alternative medicine (CAM) is widespread, despite the fact that clinical studies validating the efficacy of CAM remain sparse in the Nordic countries. The purpose of this study was to explore possible connections between cancer patients' communication experiences with doctors and the decision to use CAM as either supplement or alternative to conventional treatment (CT). The Regional Committee for Medical and Health Research Ethics and the Norwegian Data Inspectorate approved the study. From a group of 52 cancer patients with self-reported positive experiences from use of CAM, 13 were selected for qualitative interviews. Six used CAM as supplement, and seven as alternative to CT, periodically or permanently. Communication experiences with 46 doctors were described. The analysis revealed three connections between doctor-patient communication and patients' treatment decisions: (i) negative communication experiences because of the use of CAM; (ii) negative communication experiences resulted in the decision to use CAM, and in some cases to decline CT; and (iii) positive communication experiences led to the decision to use CAM as supplement, not alternative to CT. The patients, including the decliners of CT, wanted to discuss treatment decisions in well-functioning interpersonal processes with supportive doctors. In doctors' practices and education of doctors, a greater awareness of potential positive and negative outcomes of doctor-patient communication that concern CAM issues could be of importance. More research is needed to safeguard CAM users' treatment decisions and their relationship to conventional health care. © 2012 The Author. Scandinavian Journal of Caring Sciences © 2012 Nordic College of Caring Science.

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...

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

Supporting Energy-Related Societal Applications Using NASA's Satellite and Modeling Data

NASA Technical Reports Server (NTRS)

Stackhouse, Paul W., Jr.; Whitlock, C. H.; Chandler, W. S.; Hoell, J. M.; Zhang, T.; Mikovitz, J. C.; Leng, G. S.; Lilienthal, P.

2006-01-01

Improvements to NASA Surface Meteorology and Solar Energy (SSE) web site are now being made through the Prediction of Worldwide Energy Resource (POWER) project under NASA Science Mission Directorate Applied Science Energy Management Program. The purpose of this project is to tailor NASA Science Mission results for energy sector applications and decision support systems. The current status of SSE and research towards upgrading estimates of total, direct and diffuse solar irradiance from NASA satellite measurements and analysis are discussed. Part of this work involves collaborating with partners such as the National Renewable Energy Laboratory (NREL) and the Natural Resources Canada (NRCan). Energy Management and POWER plans including historic, near-term and forecast datasets are also overviewed.

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.

The Structure of Medical Informatics Journal Literature

PubMed Central

Morris, Theodore A.; McCain, Katherine W.

1998-01-01

Abstract Objective: Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field. Design: To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns. Measurements: The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals. Results: Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found. Conclusion: The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter. PMID:9760393

Change is hard: What science teachers are telling us about reform and teacher learning of innovative practices

NASA Astrophysics Data System (ADS)

Davis, Kathleen S.

2003-01-01

Over the last decade, significant efforts have been made to bring change to science classrooms. Educational researchers (Anderson, R. D., & Helms, J. V. (2001). Journal of Research in Science Teaching, 38(1), 3-16.) have pointed to the need to examine reform efforts systemically to understand the pathways and impediments to successful reform. This study provides a critical analysis of the implementation of an innovative science curriculum at a middle school site. In particular, the author explores the issues that surround teacher learning of new practices including the structures, policies, and practices that were in place within the reform context that supported or impeded teacher learning. Parallels are drawn between student and teacher learning and the importance of autonomy and decision-making structures for both populations of learners. Findings presented include (1) how staff development with constructivist underpinnings facilitated teacher learning; (2) how regular and frequent opportunities for interactions with colleagues and outside support personnel contributed to teacher learning; (3) how the decline of such interactive forums and the continuation of old decision-making structures restricted the development of teacher knowledge, expertise, and a common vision of the science program; and (4) how the process of field-testing at this site limited the incorporation of teachers' prior knowledge and impacted teacher acquisition of new knowledge and skills.

The Annapolis Accords on the use of toxicology in decision-making. Annapolis Center Workshop Report.

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

Gray, G.M.; Baskin, S.I.; Charnley, G.

2000-12-01

The science of toxicology plays an important role in identifying safe conditions of use or exposure for many different kinds of environmental agents. The use of toxicologic information in risk assessment requires careful analysis, evaluation of data, and scientific judgment. These Annapolis Accords are intended to guide appropriate use in risk assessment of the scientific information from toxicology. We believe that application of these principles will improve the scientific credibility of risk assessment and the quality of decisions aimed at reducing and eliminating risks to human health and the environment.

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.

Scientific monitoring plan in support of the selected alternative of the Glen Canyon Dam Long-Term Experimental and Management Plan

USGS Publications Warehouse

Vanderkooi, Scott P.; Kennedy, Theodore A.; Topping, David J.; Grams, Paul E.; Ward, David L.; Fairley, Helen C.; Bair, Lucas S.; Sankey, Joel B.; Yackulic, Charles B.; Schmidt, John C.

2017-01-18

IntroductionThe purpose of this document is to describe a strategy by which monitoring and research data in the natural and social sciences will be collected, analyzed, and provided to the U.S. Department of the Interior (DOI), its bureaus, and to the Glen Canyon Dam Adaptive Management Program (GCDAMP) in support of implementation of the Glen Canyon Dam Long-Term Experimental and Management Plan (LTEMP) (U.S. Department of the Interior, 2016a). The selected alternative identified in the LTEMP Record of Decision (ROD) (U.S. Department of the Interior, 2016b) describes various data collection, analysis, modeling, and interpretation efforts to be conducted by the U.S. Geological Survey’s (USGS) Grand Canyon Monitoring and Research Center (GCMRC), partner agencies, and cooperators that will inform decisions about operations of Glen Canyon Dam and management of downstream resources between 2017 and 2037, the performance period of the LTEMP. General data collection, analysis, modeling, and interpretation activities are described in this science plan, whereas specific monitoring and research activities and detailed study plans are to be described in the GCDAMP’s triennial work plans (TWPs) to be developed by the Bureau of Reclamation and GCMRC with input from partner agencies and cooperators during the LTEMP period, which are to be reviewed and recommended by the GCDAMP and approved by the Secretary of the Interior. The GCDAMP consists of several components, the primary committee being the Adaptive Management Work Group (AMWG). This Federal advisory committee is composed of 25 agencies and stakeholder groups and is chaired by the Secretary of the Interior’s designee. The AMWG makes recommendations to the Secretary of the Interior concerning operations of Glen Canyon Dam and other experimental management actions that are intended to fulfill some obligations of the Grand Canyon Protection Act of 1992. The Technical Work Group (TWG) is a subcommittee of the AMWG and provides technical advice to the AMWG. It is composed of technical and science representatives from the same agencies and stakeholder groups who serve on the AMWG. GCMRC is the primary science provider to the GCDAMP and also coordinates many aspects of the science performed by cooperators and partner agencies. The Science Advisors Program provides independent science reviews and advice at the request of the GCDAMP.The plan proposed here necessarily depends on (1) the protocol for decision-making and the requirements for scientific data reporting described in the LTEMP ROD, (2) the priorities of the GCDAMP as directed by the LTEMP ROD (see Department of the Interior, 2016b, section 6.1), (3) the priorities for monitoring and research in the conservation measures section of the Biological Opinion for the LTEMP (U.S. Department of the Interior, 2016b, LTEMP ROD attachment E), (4) the priorities for resource management and information needs established by Federal and State resource-management agencies within the GCDAMP, (5) scientific understanding about the linkage between the status of those resources and operations of Glen Canyon Dam, and (6) the need to resolve existing scientific uncertainties about the linkage between dam operations and the condition of resources. We note that resource-management prioritization is fundamentally a policy decision charged specifically to DOI for the Colorado River in Glen and Grand Canyons, as outlined most recently in the LTEMP ROD, and is not the responsibility of the GCMRC. However, it is the responsibility of the GCMRC to describe the nature of scientific understanding, the nature of scientific uncertainty, and the risk of making resourcemanagement decisions in the face of existing scientific uncertainty. The goals of science activities in the next 20 years are to inform operational decisions regarding Glen Canyon Dam operations described in the LTEMP ROD, resolve remaining scientific uncertainties, and to monitor resource trends that are affected entirely, or in part, by dam operations.

The Importance of Source: A Mixed Methods Analysis of Undergraduate Students' Attitudes toward Genetically Modified Food

ERIC Educational Resources Information Center

Ruth, Taylor K.; Rumble, Joy N.; Gay, Keegan D.; Rodriguez, Mary T.

2016-01-01

Even though science says genetically modified (GM) foods are safe, many consumers remain skeptical of the technology. Additionally, the scientific community has trouble communicating to the public, causing consumers to make uninformed decisions. The Millennial Generation will have more buying power than any other generation before them, and more…

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…

A Decision Analysis Tool for the Source Selection Process

DTIC Science & Technology

2006-03-01

THE SOURCE SELECTION PROCESS THESIS Presented to the Faculty Department of Systems and Engineering Management Graduate School of...Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of...the Requirements for the Degree of Master of Science in Engineering Management John R. Trumm, BS Captain, USAF March 2006

Modeling human-climate interaction

NASA Astrophysics Data System (ADS)

Jacoby, Henry D.

If policymakers and the public are to be adequately informed about the climate change threat, climate modeling needs to include components far outside its conventional boundaries. An integration of climate chemistry and meteorology, oceanography, and terrestrial biology has been achieved over the past few decades. More recently the scope of these studies has been expanded to include the human systems that influence the planet, the social and ecological consequences of potential change, and the political processes that lead to attempts at mitigation and adaptation. For example, key issues—like the relative seriousness of climate change risk, the choice of long-term goals for policy, and the analysis of today's decisions when uncertainty may be reduced tomorrow—cannot be correctly understood without joint application of the natural science of the climate system and social and behavioral science aspects of human response. Though integration efforts have made significant contributions to understanding of the climate issue, daunting intellectual and institutional barriers stand in the way of needed progress. Deciding appropriate policies will be a continuing task over the long term, however, so efforts to extend the boundaries of climate modeling and assessment merit long-term attention as well. Components of the effort include development of a variety of approaches to analysis, the maintenance of a clear a division between close-in decision support and science/policy research, and the development of funding institutions that can sustain integrated research over the long haul.

Factors that Influence Participation of Students in Secondary Science and Mathematics Subjects in IB Schools Outside of the United States and Canada

NASA Astrophysics Data System (ADS)

Straffon, Elizabeth

The purpose of this study was to investigate factors that affect the extent of international secondary students' participation in International Baccalaureate science and mathematics courses. The factors examined were gender, home region, size, percent host culture and age of the program, and coeducational and legal status of the school. Participation in math and science subjects was determined by analyzing the level and number of courses taken by students taking International Baccalaureate exams in 2010. Chi-Square and Cramer's V analysis were used to measure the effect of categorical variables on student participation and One-Way ANOVA and Bonferroni comparison of means were used to analyze the quantitative variables. All categorical variables were statistically significant (p<.01). Home region was the most important factor affecting participation in both math and science. Students from East, Southeast and South-Central Asia; and Eastern Europe have greater participation in math. The highest science participation came from students in East, Southern and Western Africa; and Southeast Asia. Top participators in science came from Australia/New Zealand, Northern Europe, East Africa and South-Central and Western Asia. State schools showed higher math and science participation. Science and math participation was also greater in all-male schools though associations were weak. Boys participated more than girls, especially in math. All quantitative variables were statistically significant. The program size had the largest effect size for both math and science with larger programs showing more participation at the higher level. A decreasing trend for age of the program and percent host culture was found for math participation. Three years of participation data were collected from an international school in Western Europe (n = 194). Variables included the influence of parent occupation, math preparedness (PSAT-Math), student achievement (GPA), and the importance of significant others in career and academic decisions. Findings indicate that performance on the PSAT- Math was the most important predictor of both science and mathematics participation. Twenty students were also interviewed. Results showed the importance of several key factors. These include the role of parents in student academic and career decisions, the importance of personal interest, and the contribution of early decisions in confidence-building.

Stakeholder analysis: a review.

PubMed

Brugha, R; Varvasovszky, Z

2000-09-01

The growing popularity of stakeholder analysis reflects an increasing recognition of how the characteristics of stakeholders--individuals, groups and organizations--influence decision-making processes. This paper reviews the origins and uses of stakeholder analysis, as described in the policy, health care management and development literature. Its roots are in the political and policy sciences, and in management theory where it has evolved into a systematic tool with clearly defined steps and applications for scanning the current and future organizational environment. Stakeholder analysis can be used to generate knowledge about the relevant actors so as to understand their behaviour, intentions, interrelations, agendas, interests, and the influence or resources they have brought--or could bring--to bear on decision-making processes. This information can then be used to develop strategies for managing these stakeholders, to facilitate the implementation of specific decisions or organizational objectives, or to understand the policy context and assess the feasibility of future policy directions. Policy development is a complex process which frequently takes place in an unstable and rapidly changing context, subject to unpredictable internal and external factors. As a cross-sectional view of an evolving picture, the utility of stakeholder analysis for predicting and managing the future is time-limited and it should be complemented by other policy analysis approaches.

Value of Earth Observations: Key principles and techniques of socioeconomic benefits analysis (Invited)

NASA Astrophysics Data System (ADS)

Friedl, L.; Macauley, M.; Bernknopf, R.

2013-12-01

Internationally, multiple organizations are placing greater emphasis on the societal benefits that governments, businesses, and NGOs can derive from applications of Earth-observing satellite observations, research, and models. A growing set of qualitative, anecdotal examples on the uses of Earth observations across a range of sectors can be complemented by the quantitative substantiation of the socioeconomic benefits. In turn, the expanding breadth of environmental data available and the awareness of their beneficial applications to inform decisions can support new products and services by companies, agencies, and civil society. There are, however, significant efforts needed to bridge the Earth sciences and social and economic sciences fields to build capacity, develop case studies, and refine analytic techniques in quantifying socioeconomic benefits from the use of Earth observations. Some government programs, such as the NASA Earth Science Division's Applied Sciences Program have initiated activities in recent years to quantify the socioeconomic benefits from applications of Earth observations research, and to develop multidisciplinary models for organizations' decision-making activities. A community of practice has conducted workshops, developed impact analysis reports, published a book, developed a primer, and pursued other activities to advance analytic methodologies and build capacity. This paper will present an overview of measuring socioeconomic impacts of Earth observations and how the measures can be translated into a value of Earth observation information. It will address key terms, techniques, principles and applications of socioeconomic impact analyses. It will also discuss activities to pursue a research agenda on analytic techniques, develop a body of knowledge, and promote broader skills and capabilities.

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.

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.

Implementation science for the prevention and treatment of HIV/AIDS.

PubMed

Schackman, Bruce R

2010-12-01

Implementation science is the scientific study of methods to promote the integration of research findings and evidence-based interventions into health care policy and practice and hence to improve the quality and effectiveness of health services and care. Implementation science is distinguished from monitoring and evaluation by its emphasis on the use of the scientific method. The origins of implementation science include operations research, industrial engineering, and management science. Today, implementation science encompasses a broader range of methods and skills including decision science and operations research, health systems research, health outcomes research, health and behavioral economics, epidemiology, statistics, organization and management science, finance, policy analysis, anthropology, sociology, and ethics. Examples of implementation science research are presented for HIV prevention (prevention of mother-to-child transmission of HIV, male circumcision) and HIV and drug use (syringe distribution, treating drug users with antiretroviral therapy and opioid substitution therapy). For implementation science to become an established field in HIV/AIDS research, there needs to be better coordination between funders of research and funders of program delivery and greater consensus on scientific research approaches and standards of evidence.

An overview and discussion of the Patient-Centered Outcomes Research Institute's decision aid portfolio.

PubMed

Gayer, Christopher C; Crowley, Matthew J; Lawrence, William F; Gierisch, Jennifer M; Gaglio, Bridget; Williams, John W; Myers, Evan R; Kendrick, Amy; Slutsky, Jean; Sanders, Gillian D

2016-07-01

Decision aids (DAs) help patients make informed healthcare decisions in a manner consistent with their values and preferences. Despite their promise, DAs developed with public research dollars are not being implemented and adopted in real-world patient care settings at a rate consistent with which they are being developed. To appraise the sum of the parts of the portfolio and create a strategic imperative surrounding future funding, the Patient-Centered Outcomes Research Institute (PCORI) tasked the Duke Evidence Synthesis Group with evaluating its DA portfolio. This paper describes PCORI's portfolio of DAs according to the Duke Evidence Synthesis Group's analysis in the context of PCORI's mission and the field of decision science. The results revealed a diversity within PCORI's portfolio of funded DA projects. Findings support the movement toward more rigorous DA development, assessment and maintenance. PCORI's funding priorities related to DAs are clarified and comparative questions of interest are posed.

Evaluation of a Potential for Enhancing the Decision Support System of the Interagency Modeling and Atmospheric Assessment Center with NASA Earth Science Research Results

NASA Technical Reports Server (NTRS)

Blonski, Slawomir; Berglund, Judith; Spruce, Joseph P.; McKellip, Rodney; Jasinski, Michael; Borak, Jordan; Lundquist, Julie

2007-01-01

NASA's objective for the Applied Sciences Program of the Science Mission Directorate is to expand and accelerate the realization of economic and societal benefits from Earth science, information, and technology. This objective is accomplished by using a systems approach to facilitate the incorporation of Earth observations and predictions into the decision-support tools used by partner organizations to provide essential services to society. The services include management of forest fires, coastal zones, agriculture, weather prediction, hazard mitigation, aviation safety, and homeland security. In this way, NASA's long-term research programs yield near-term, practical benefits to society. The Applied Sciences Program relies heavily on forging partnerships with other Federal agencies to accomplish its objectives. NASA chooses to partner with agencies that have existing connections with end-users, information infrastructure already in place, and decision support systems that can be enhanced by the Earth science information that NASA is uniquely poised to provide (NASA, 2004).

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.

Combining statistical inference and decisions in ecology

USGS Publications Warehouse

Williams, Perry J.; Hooten, Mevin B.

2016-01-01

Statistical decision theory (SDT) is a sub-field of decision theory that formally incorporates statistical investigation into a decision-theoretic framework to account for uncertainties in a decision problem. SDT provides a unifying analysis of three types of information: statistical results from a data set, knowledge of the consequences of potential choices (i.e., loss), and prior beliefs about a system. SDT links the theoretical development of a large body of statistical methods including point estimation, hypothesis testing, and confidence interval estimation. The theory and application of SDT have mainly been developed and published in the fields of mathematics, statistics, operations research, and other decision sciences, but have had limited exposure in ecology. Thus, we provide an introduction to SDT for ecologists and describe its utility for linking the conventionally separate tasks of statistical investigation and decision making in a single framework. We describe the basic framework of both Bayesian and frequentist SDT, its traditional use in statistics, and discuss its application to decision problems that occur in ecology. We demonstrate SDT with two types of decisions: Bayesian point estimation, and an applied management problem of selecting a prescribed fire rotation for managing a grassland bird species. Central to SDT, and decision theory in general, are loss functions. Thus, we also provide basic guidance and references for constructing loss functions for an SDT problem.

[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.

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,…

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?

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.

Probabilistic Exposure Analysis for Chemical Risk Characterization

PubMed Central

Bogen, Kenneth T.; Cullen, Alison C.; Frey, H. Christopher; Price, Paul S.

2009-01-01

This paper summarizes the state of the science of probabilistic exposure assessment (PEA) as applied to chemical risk characterization. Current probabilistic risk analysis methods applied to PEA are reviewed. PEA within the context of risk-based decision making is discussed, including probabilistic treatment of related uncertainty, interindividual heterogeneity, and other sources of variability. Key examples of recent experience gained in assessing human exposures to chemicals in the environment, and other applications to chemical risk characterization and assessment, are presented. It is concluded that, although improvements continue to be made, existing methods suffice for effective application of PEA to support quantitative analyses of the risk of chemically induced toxicity that play an increasing role in key decision-making objectives involving health protection, triage, civil justice, and criminal justice. Different types of information required to apply PEA to these different decision contexts are identified, and specific PEA methods are highlighted that are best suited to exposure assessment in these separate contexts. PMID:19223660

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

NASA Astrophysics Data System (ADS)

Sezen-Barrie, A.; Wolfson, J.

2015-12-01

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

Justifying an ideal first pregnancy age: Vernacular science knowledge and the facilitation of lay argument.

PubMed

Jensen, Robin E; Blumling, Allison N

2018-04-01

Members of the lay public often draw from vernacular science knowledge-or metaphors, images, and terms related to technical science-to make normative assessments about behavior. Yet, little is known about vernacular science knowledge in terms of its forms and functions. In a national survey, US adults ( N = 688) were asked to identify an ideal age for first pregnancy, and to explain their decision. Participants drew from arguments related to hormonal processes, the language of risk, and the quality and quantity of "eggs" to navigate and identify an ideal timeline for first pregnancy. Their responses illustrated patterns of justification that involved the (a) employment of scientific concepts as heuristic cues for critical analysis, (b) conflation of details, and (c) synecdochal explication. These findings reveal some of the key ways in which vernacular science knowledge may shape the trajectory of lay argument in a range of contexts.

Advice and Frequently Asked Questions (FAQs) for Citizen-Science Environmental Health Assessments.

PubMed

Barzyk, Timothy M; Huang, Hongtai; Williams, Ronald; Kaufman, Amanda; Essoka, Jonathan

2018-05-11

Citizen science provides quantitative results to support environmental health assessments (EHAs), but standardized approaches do not currently exist to translate findings into actionable solutions. The emergence of low-cost portable sensor technologies and proliferation of publicly available datasets provides unparalleled access to supporting evidence; yet data collection, analysis, interpretation, visualization, and communication are subjective approaches that must be tailored to a decision-making audience capable of improving environmental health. A decade of collaborative efforts and two citizen science projects contributed to three lessons learned and a set of frequently asked questions (FAQs) that address the complexities of environmental health and interpersonal relations often encountered in citizen science EHAs. Each project followed a structured step-by-step process in order to compare and contrast methods and approaches. These lessons and FAQs provide advice to translate citizen science research into actionable solutions in the context of a diverse range of environmental health issues and local stakeholders.

Reevaluating excess success in psychological science.

PubMed

van Boxtel, Jeroen J A; Koch, Christof

2016-10-01

Francis (Psychonomic Bulletin Review, 21, 1180-1187, 2014) recently claimed that 82 % of articles with four or more experiments published in Psychological Science between 2009 and 2012 cannot be trusted. We critique Francis' analysis and point out the dependence of his approach on including the appropriate experiments and significance tests. We focus on one of the articles (van Boxtel & Koch, in Psychological Science, 23(4), 410-418, 2012) flagged by Francis and show that the inappropriate inclusion of experiments and tests have led Francis to mistakenly flag this article. We found that decisions about whether to include certain tests potentially affect 34 of the 44 articles analyzed by Francis. We further performed p-curve analyses on the articles discussed in Francis' analysis. We found that 9 of 44 studies showed significant evidential value, 11 studies showed insufficient evidential value, and 1 study showed evidence of p-hacking. Our reevaluation is important, because some researchers may have gained the false impression that none of the quoted articles in Psychological Science can be trusted (as stated by Francis). The analysis by Francis is most likely insufficient to warrant this conclusion for some articles and certainly is insufficient with respect to the study by van Boxtel and Koch (Psychological Science, 23, 410-418, 2012).

Integrating Remote Sensing Data, Hybrid-Cloud Computing, and Event Notifications for Advanced Rapid Imaging & Analysis (Invited)

NASA Astrophysics Data System (ADS)

Hua, H.; Owen, S. E.; Yun, S.; Lundgren, P.; Fielding, E. J.; Agram, P.; Manipon, G.; Stough, T. M.; Simons, M.; Rosen, P. A.; Wilson, B. D.; Poland, M. P.; Cervelli, P. F.; Cruz, J.

2013-12-01

Space-based geodetic measurement techniques such as Interferometric Synthetic Aperture Radar (InSAR) and Continuous Global Positioning System (CGPS) are now important elements in our toolset for monitoring earthquake-generating faults, volcanic eruptions, hurricane damage, landslides, reservoir subsidence, and other natural and man-made hazards. Geodetic imaging's unique ability to capture surface deformation with high spatial and temporal resolution has revolutionized both earthquake science and volcanology. Continuous monitoring of surface deformation and surface change before, during, and after natural hazards improves decision-making from better forecasts, increased situational awareness, and more informed recovery. However, analyses of InSAR and GPS data sets are currently handcrafted following events and are not generated rapidly and reliably enough for use in operational response to natural disasters. Additionally, the sheer data volumes needed to handle a continuous stream of InSAR data sets also presents a bottleneck. It has been estimated that continuous processing of InSAR coverage of California alone over 3-years would reach PB-scale data volumes. Our Advanced Rapid Imaging and Analysis for Monitoring Hazards (ARIA-MH) science data system enables both science and decision-making communities to monitor areas of interest with derived geodetic data products via seamless data preparation, processing, discovery, and access. We will present our findings on the use of hybrid-cloud computing to improve the timely processing and delivery of geodetic data products, integrating event notifications from USGS to improve the timely processing for response, as well as providing browse results for quick looks with other tools for integrative analysis.

Integrated water assessment and modelling: A bibliometric analysis of trends in the water resource sector

NASA Astrophysics Data System (ADS)

Zare, Fateme; Elsawah, Sondoss; Iwanaga, Takuya; Jakeman, Anthony J.; Pierce, Suzanne A.

2017-09-01

There are substantial challenges facing humanity in the water and related sectors and purposeful integration of the disciplines, connected sectors and interest groups is now perceived as essential to address them. This article describes and uses bibliometric analysis techniques to provide quantitative insights into the general landscape of Integrated Water Resource Assessment and Modelling (IWAM) research over the last 45 years. Keywords, terms in titles, abstracts and the full texts are used to distinguish the 13,239 IWAM articles in journals and other non-grey literature. We identify the major journals publishing IWAM research, influential authors through citation counts, as well as the distribution and strength of source countries. Fruitfully, we find that the growth in numbers of such publications has continued to accelerate, and attention to both the biophysical and socioeconomic aspects has also been growing. On the other hand, our analysis strongly indicates that the former continue to dominate, partly by embracing integration with other biophysical sectors related to water - environment, groundwater, ecology, climate change and agriculture. In the social sciences the integration is occurring predominantly through economics, with the others, including law, policy and stakeholder participation, much diminished in comparison. We find there has been increasing attention to management and decision support systems, but a much weaker focus on uncertainty, a pervasive concern whose criticalities must be identified and managed for improving decision making. It would seem that interdisciplinary science still has a long way to go before crucial integration with the non-economic social sciences and uncertainty considerations are achieved more routinely.

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.

Science in the public process of ecosystem management: lessons from Hawaii, Southeast Asia, Africa and the US Mainland.

PubMed

Gutrich, John; Donovan, Deanna; Finucane, Melissa; Focht, Will; Hitzhusen, Fred; Manopimoke, Supachit; McCauley, David; Norton, Bryan; Sabatier, Paul; Salzman, Jim; Sasmitawidjaja, Virza

2005-08-01

Partnerships and co-operative environmental management are increasing worldwide as is the call for scientific input in the public process of ecosystem management. In Hawaii, private landowners, non-governmental organizations, and state and federal agencies have formed watershed partnerships to conserve and better manage upland forested watersheds. In this paper, findings of an international workshop convened in Hawaii to explore the strengths of approaches used to assess stakeholder values of environmental resources and foster consensus in the public process of ecosystem management are presented. Authors draw upon field experience in projects throughout Hawaii, Southeast Asia, Africa and the US mainland to derive a set of lessons learned that can be applied to Hawaiian and other watershed partnerships in an effort to promote consensus and sustainable ecosystem management. Interdisciplinary science-based models can serve as effective tools to identify areas of potential consensus in the process of ecosystem management. Effective integration of scientific input in co-operative ecosystem management depends on the role of science, the stakeholders and decision-makers involved, and the common language utilized to compare tradeoffs. Trust is essential to consensus building and the integration of scientific input must be transparent and inclusive of public feedback. Consideration of all relevant stakeholders and the actual benefits and costs of management activities to each stakeholder is essential. Perceptions and intuitive responses of people can be as influential as analytical processes in decision-making and must be addressed. Deliberative, dynamic and iterative decision-making processes all influence the level of stakeholder achievement of consensus. In Hawaii, application of lessons learned can promote more informed and democratic decision processes, quality scientific analysis that is relevant, and legitimacy and public acceptance of ecosystem management.

Evidence-based librarianship: an overview.

PubMed

Eldredge, J D

2000-10-01

To demonstrate how the core characteristics of both evidence-based medicine (EBM) and evidence-based health care (EBHC) can be adapted to health sciences librarianship. Narrative review essay involving development of a conceptual framework. The author describes the central features of EBM and EBHC. Following each description of a central feature, the author then suggests ways that this feature applies to health sciences librarianship. First, the decision-making processes of EBM and EBHC are compatible with health sciences librarianship. Second, the EBM and EBHC values of favoring rigorously produced scientific evidence in decision making are congruent with the core values of librarianship. Third, the hierarchical levels of evidence can be applied to librarianship with some modifications. Library researchers currently favor descriptive-survey and case-study methods over systematic reviews, randomized controlled trials, or other higher levels of evidence. The library literature nevertheless contains diverse examples of randomized controlled trials, controlled-comparison studies, and cohort studies conducted by health sciences librarians. Health sciences librarians are confronted with making many practical decisions. Evidence-based librarianship offers a decision-making framework, which integrates the best available research evidence. By employing this framework and the higher levels of research evidence it promotes, health sciences librarians can lay the foundation for more collaborative and scientific endeavors.

Evidence-based librarianship: an overview

PubMed Central

Eldredge, Jonathan D.

2000-01-01

Objective: To demonstrate how the core characteristics of both evidence-based medicine (EBM) and evidence-based health care (EBHC) can be adapted to health sciences librarianship. Method: Narrative review essay involving development of a conceptual framework. The author describes the central features of EBM and EBHC. Following each description of a central feature, the author then suggests ways that this feature applies to health sciences librarianship. Results: First, the decision-making processes of EBM and EBHC are compatible with health sciences librarianship. Second, the EBM and EBHC values of favoring rigorously produced scientific evidence in decision making are congruent with the core values of librarianship. Third, the hierarchical levels of evidence can be applied to librarianship with some modifications. Library researchers currently favor descriptive-survey and case-study methods over systematic reviews, randomized controlled trials, or other higher levels of evidence. The library literature nevertheless contains diverse examples of randomized controlled trials, controlled-comparison studies, and cohort studies conducted by health sciences librarians. Conclusions: Health sciences librarians are confronted with making many practical decisions. Evidence-based librarianship offers a decision-making framework, which integrates the best available research evidence. By employing this framework and the higher levels of research evidence it promotes, health sciences librarians can lay the foundation for more collaborative and scientific endeavors. PMID:11055296

Science for the sustainable use of ecosystem services

PubMed Central

Bennett, Elena M.; Chaplin-Kramer, Rebecca

2016-01-01

Sustainability is a key challenge for humanity in the 21st century. Ecosystem services—the benefits that people derive from nature and natural capital—is a concept often used to help explain human reliance on nature and frame the decisions we make in terms of the ongoing value of nature to human wellbeing. Yet ecosystem service science has not always lived up to the promise of its potential. Despite advances in the scientific literature, ecosystem service science has not yet answered some of the most critical questions posed by decision-makers in the realm of sustainability. Here, we explore the history of ecosystem service science, discuss advances in conceptualization and measurement, and point toward further work needed to improve the use of ecosystem service in decisions about sustainable development. PMID:27853527

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.

Design Analysis Kit for Optimization and Terascale Applications 6.0

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

2015-10-19

Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to: (1) enhance understanding of risk, (2) improve products, and (3) assess simulation credibility. In its simplest mode, Dakota can automate typical parameter variation studies through a generic interface to a computational model. However, Dakota also delivers advanced parametric analysis techniques enabling design exploration, optimization, model calibration, risk analysis, and quantification of margins and uncertainty with such models. It directly supports verificationmore » and validation activities. The algorithms implemented in Dakota aim to address challenges in performing these analyses with complex science and engineering models from desktop to high performance computers.« less

Leveraging Open Standard Interfaces in Providing Efficient Discovery, Retrieval, and Information of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Cole, M.; Alameh, N.; Bambacus, M.

2006-05-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Leveraging Web Services in Providing Efficient Discovery, Retrieval, and Integration of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Bambacus, M.; Alameh, N.; Cole, M.

2006-12-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Human-provided waters for desert wildlife: What is the problem?

USGS Publications Warehouse

Mattson, D.J.; Chambers, N.

2009-01-01

Conflict persists in southwestern deserts of the United States over management of human-constructed devices to provide wildlife with water. We appraised decision processes in this case relative to the goal of human dignity and by the standards of civility and common interest outcomes. Our analysis suggested that conflict was scientized, rooted in worldviews, and aggravated by use of inflammatory symbols such as "wilderness" and "bighorn sheep." Contested problem definitions, framed as matters of science, advanced factional interests largely by allocating the burden of proof and failing to disclose private concerns about well-being, affection, respect, skill and power. Decision processes were shaped by precepts of scientific management, and thus largely failed to foster civility, common ground, and a focus on common interests, and instead tended to exacerbate deprivations of dignity and respect. If the status quo continues, we foresee further erosion of human dignity because there are likely to be increases in system stressors, such as climate change and human population growth. The prognosis would be more hopeful if alternatives were adopted that entailed authoritative, equitable, and collaborative public decision-making processes that took into consideration national-level common interests such as the U.S. Endangered Species Act. ?? Springer Science+Business Media, LLC. 2008.

Model selection criterion in survival analysis

NASA Astrophysics Data System (ADS)

Karabey, Uǧur; Tutkun, Nihal Ata

2017-07-01

Survival analysis deals with time until occurrence of an event of interest such as death, recurrence of an illness, the failure of an equipment or divorce. There are various survival models with semi-parametric or parametric approaches used in medical, natural or social sciences. The decision on the most appropriate model for the data is an important point of the analysis. In literature Akaike information criteria or Bayesian information criteria are used to select among nested models. In this study,the behavior of these information criterion is discussed for a real data set.

Case based reasoning in criminal intelligence using forensic case data.

PubMed

Ribaux, O; Margot, P

2003-01-01

A model that is based on the knowledge of experienced investigators in the analysis of serial crime is suggested to bridge a gap between technology and methodology. Its purpose is to provide a solid methodology for the analysis of serial crimes that supports decision making in the deployment of resources, either by guiding proactive policing operations or helping the investigative process. Formalisation has helped to derive a computerised system that efficiently supports the reasoning processes in the analysis of serial crime. This novel approach fully integrates forensic science data.

Longitudinal analysis of meta-analysis literatures in the database of ISI Web of Science.

PubMed

Zhu, Changtai; Jiang, Ting; Cao, Hao; Sun, Wenguang; Chen, Zhong; Liu, Jinming

2015-01-01

The meta-analysis is regarded as an important evidence for making scientific decision. The database of ISI Web of Science collected a great number of high quality literatures including meta-analysis literatures. However, it is significant to understand the general characteristics of meta-analysis literatures to outline the perspective of meta-analysis. In this present study, we summarized and clarified some features on these literatures in the database of ISI Web of Science. We retrieved the meta-analysis literatures in the database of ISI Web of Science including SCI-E, SSCI, A&HCI, CPCI-S, CPCI-SSH, CCR-E, and IC. The annual growth rate, literature category, language, funding, index citation, agencies and countries/territories of the meta-analysis literatures were analyzed, respectively. A total of 95,719 records, which account for 0.38% (99% CI: 0.38%-0.39%) of all literatures, were found in the database. From 1997 to 2012, the annual growth rate of meta-analysis literatures was 18.18%. The literatures involved in many categories, languages, fundings, citations, publication agencies, and countries/territories. Interestingly, the index citation frequencies of the meta-analysis were significantly higher than that of other type literatures such as multi-centre study, randomize controlled trial, cohort study, case control study, and cases report (P<0.0001). The increasing numbers, intensively global influence and high citations revealed that the meta-analysis has been becoming more and more prominent in recent years. In future, in order to promote the validity of meta-analysis, the CONSORT and PRISMA standard should be continuously popularized in the field of evidence-based medicine.

Nanotoxicology and nanomedicine: making development decisions in an evolving governance environment

NASA Astrophysics Data System (ADS)

Rycroft, Taylor; Trump, Benjamin; Poinsatte-Jones, Kelsey; Linkov, Igor

2018-02-01

The fields of nanomedicine, risk analysis, and decision science have evolved considerably in the past decade, providing developers of nano-enabled therapies and diagnostic tools with more complete information than ever before and shifting a fundamental requisite of the nanomedical community from the need for more information about nanomaterials to the need for a streamlined method of integrating the abundance of nano-specific information into higher-certainty product design decisions. The crucial question facing nanomedicine developers that must select the optimal nanotechnology in a given situation has shifted from "how do we estimate nanomaterial risk in the absence of good risk data?" to "how can we derive a holistic characterization of the risks and benefits that a given nanomaterial may pose within a specific nanomedical application?" Many decision support frameworks have been proposed to assist with this inquiry; however, those based in multicriteria decision analysis have proven to be most adaptive in the rapidly evolving field of nanomedicine—from the early stages of the field when conditions of significant uncertainty and incomplete information dominated, to today when nanotoxicology and nano-environmental health and safety information is abundant but foundational paradigms such as chemical risk assessment, risk governance, life cycle assessment, safety-by-design, and stakeholder engagement are undergoing substantial reformation in an effort to address the needs of emerging technologies. In this paper, we reflect upon 10 years of developments in nanomedical engineering and demonstrate how the rich knowledgebase of nano-focused toxicological and risk assessment information developed over the last decade enhances the capability of multicriteria decision analysis approaches and underscores the need to continue the transition from traditional risk assessment towards risk-based decision-making and alternatives-based governance for emerging technologies.

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.

Enhancing the ecological risk assessment process.

PubMed

Dale, Virginia H; Biddinger, Gregory R; Newman, Michael C; Oris, James T; Suter, Glenn W; Thompson, Timothy; Armitage, Thomas M; Meyer, Judith L; Allen-King, Richelle M; Burton, G Allen; Chapman, Peter M; Conquest, Loveday L; Fernandez, Ivan J; Landis, Wayne G; Master, Lawrence L; Mitsch, William J; Mueller, Thomas C; Rabeni, Charles F; Rodewald, Amanda D; Sanders, James G; van Heerden, Ivor L

2008-07-01

The Ecological Processes and Effects Committee of the US Environmental Protection Agency Science Advisory Board conducted a self-initiated study and convened a public workshop to characterize the state of the ecological risk assessment (ERA), with a view toward advancing the science and application of the process. That survey and analysis of ERA in decision making shows that such assessments have been most effective when clear management goals were included in the problem formulation; translated into information needs; and developed in collaboration with decision makers, assessors, scientists, and stakeholders. This process is best facilitated when risk managers, risk assessors, and stakeholders are engaged in an ongoing dialogue about problem formulation. Identification and acknowledgment of uncertainties that have the potential to profoundly affect the results and outcome of risk assessments also improves assessment effectiveness. Thus we suggest 1) through peer review of ERAs be conducted at the problem formulation stage and 2) the predictive power of risk-based decision making be expanded to reduce uncertainties through analytical and methodological approaches like life cycle analysis. Risk assessment and monitoring programs need better integration to reduce uncertainty and to evaluate risk management decision outcomes. Postdecision audit programs should be initiated to evaluate the environmental outcomes of risk-based decisions. In addition, a process should be developed to demonstrate how monitoring data can be used to reduce uncertainties. Ecological risk assessments should include the effects of chemical and nonchemical stressors at multiple levels of biological organization and spatial scale, and the extent and resolution of the pertinent scales and levels of organization should be explicitly considered during problem formulation. An approach to interpreting lines of evidence and weight of evidence is critically needed for complex assessments, and it would be useful to develop case studies and/or standards of practice for interpreting lines of evidence. In addition, tools for cumulative risk assessment should be developed because contaminants are often released into stressed environments.

Choosing and using climate change scenarios for ecological-impact assessments and conservation decisions

USGS Publications Warehouse

Amy K. Snover,; Nathan J. Mantua,; Littell, Jeremy; Michael A. Alexander,; Michelle M. McClure,; Janet Nye,

2013-01-01

Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment.

Actionable Science in the Gulf of Mexico: Connecting Researchers and Resource Managers

NASA Astrophysics Data System (ADS)

Lartigue, J.; Parker, F.; Allee, R.; Young, C.

2017-12-01

The National Oceanic and Atmospheric Administration (NOAA) RESTORE Science Program was established in the wake of the Deepwater Horizon oil spill to to carry out research, observation, and monitoring to support the long-term sustainability of the Gulf of Mexico ecosystem, including its fisheries. Administered in partnership with the US Fish and Wildlife Service, the Science Program emphasizes a connection between science and decision-making. This emphasis translated into an engagement process that allowed for resource managers and other users of information about the ecosystem to provide direct input into the science plan for the program. In developing funding opportunities, the Science Program uses structured conversations with resource managers and other decision makers to focus competitions on specific end user needs. When evaluating proposals for funding, the Science Program uses criteria that focus on applicability of a project's findings and products, end user involvement in project planning, and the approach for transferring findings and products to the end user. By including resource managers alongside scientific experts on its review panels, the Science Program ensures that these criteria are assessed from both the researcher and end user perspectives. Once funding decisions are made, the Science Program assigns a technical monitor to each award to assist with identifying and engaging end users. Sharing of best practices among the technical monitors has provided the Science Program insight on how best to bridge the gap between research and resource management and how to build successful scientist-decision maker partnerships. During the presentation, we will share two case studies: 1) design of a cooperative (fisheries scientist, fisheries managers, and fishers), Gulf-wide conservation and monitoring program for fish spawning aggregations and 2) development of habitat-specific ecosystem indicators for use by federal and state resource managers.

International Society for the Study of Fatty Acids and Lipids 2016 Debate: For Science-Based Dietary Guidelines on Fats, Meta-Analysis and Systematic Reviews Are Decisive.

PubMed

Nettleton, Joyce A; von Schacky, Clemens; Brouwer, Ingeborg A; Koletzko, Berthold

2017-01-01

This paper summarizes a debate on whether meta-analyses and systematic reviews are decisive in formulating guidelines for dietary fat. Held during the 12th congress of the International Society for the Study of Fatty Acids and Lipids in Stellenbosch, South Africa, September 7, 2016, the debate was hosted by the International Union of Nutritional Sciences and the International Expert Movement to Improve Dietary Fat Quality (IEM, www.theiem.org). Clemens von Schacky, Ludwig Maximilians-University, Munich, Germany, supported the statement, describing the types of weaknesses in individual studies and clinical trials. With examples of how to overcome such limitations, he concluded that nutritional guidelines on fat need a proper scientific basis in which randomized controlled trials (RCTs) with clinical endpoints and their meta-analyses are essential and decisive. In contention, Ingeborg Brouwer, Vrije Universiteit, Amsterdam, declared that recommendations on dietary fat intake should always be based on the totality of the evidence, including physiologic and biochemical knowledge and associations from observational epidemiology. RCTs and meta-analyses have their shortcomings, but well-conducted systematic reviews and meta-analyses support a transparent process for developing dietary fat guidelines. Participants agreed that evidence-based decision-making for dietary guidance should consider all the best available evidence using a transparent, systematic review. © 2017 The Author(s) Published by S. Karger AG, Basel.

Engineered Resilient Systems: A DoD Perspective

DTIC Science & Technology

2014-01-01

Selection and peer-review under responsibility of the University of Southern California. doi: 10.1016/j.procs.2014.03.103 ScienceDirect Conference...Selection and peer-review under responsibility of the University of Southern California. Keywords:rResilience, decision analysis, ERS, Engineered...Michael Sievers, Jet Propulsion Laboratory; Marilee Wheaton, The Aerospace Corporation Redondo Beach, CA, March 21-22, 2014 Engineered Resilient

78 FR 22941 - Sidump'r Trailer Company, Inc., Grant of Petition for Decision of Inconsequential Noncompliance

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-17

... performance requirements. Finite element modeling is a mature science and appropriately accurate for modeling... interpretation letter to Jason Backs (CPS Trailers, May 28, 1998). \\3\\ Finite element analysis can be used as a... FMVSS No. 224 that the guard-like structure can serve as a rear impact guard.\\2\\ Sidump'r used a finite...

From scientific discovery to cures: bright stars within a galaxy.

PubMed

Williams, R Sanders; Lotia, Samad; Holloway, Alisha K; Pico, Alexander R

2015-09-24

We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures. Copyright © 2015 Elsevier Inc. All rights reserved.

Metric Selection for Ecosystem Restoration

DTIC Science & Technology

2013-06-01

focus on wetlands, submerged aquatic vegetation, oyster reefs, riparian forest, and wet prairie (Miner 2005). The objective of these Corps...of coastal habitats, Volume Two: Tools for monitoring coastal habitats. NOAA Coastal Ocean Program Decision Analysis Series No. 23. Silver Spring, MD...NOAA National Centers for Coastal Ocean Science. Thom, R. M., and K. F. Wellman. 1996. Planning aquatic ecosystem restoration monitoring programs

Moving the science data quality dialogue forward

NASA Astrophysics Data System (ADS)

Robinson, Erin; Meyer, Carol B.; Lenhardt, W. Christopher

2012-05-01

Federation of Earth Science Information Partners Summer 2011 Meeting; Santa Fe, New Mexico, 12-15 July 2011 Scientific data quality is important to scientists, archivists, decision makers, and the public. Uncertain quality costs valuable research dollars and has impacts beyond the initial science. The Federation of Earth Science Information Partners (ESIP) is a consortium of Earth science data and technology professionals spanning the government (NASA, National Oceanic and Atmospheric Administration, U.S. Environmental Protection Agency, U.S. Geological Survey (USGS), National Science Foundation), academia, and private sectors (both commercial and nonprofit). The organization is dedicated to transforming research data and information into useful and usable data and information products for decision makers, policy makers, and the public.

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.

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.

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…

77 FR 40030 - Army Science Board Summer Study Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-06

...: Department of the Army, DoD. ACTION: Notice of open meeting. SUMMARY: Pursuant to the Federal Advisory... studies: Strategic Direction for Army Science and Technology and Small Unit Data to Decisions. Proposed... Technology and Small Unit Data to Decisions studies are presented to the ASB. The ASB will deliberate and...

The Decision Sciences in Vocational Education Leadership Development Programs. Project Monograph.

ERIC Educational Resources Information Center

McNamara, James F.

This essay explores how the application of the decision sciences in the interdisciplinary training, research, and development activities of model graduate professional schools of management, urban and public affairs, business, government, and regional planning might be linked to current efforts to improve leadership development and training…

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…

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…

Over a barrel: corporate corruption of science and its effects on workers and the environment.

PubMed

Egilman, David S; Bohme, Susanna Rankin

2005-01-01

Although occupational and environmental diseases are often viewed as isolated and unique failures of science, the government, or industry to protect the best interest of the public, they are in fact an outcome of a pervasive system of corporate priority setting, decision making, and influence. This system produces disease because political, economic, regulatory and ideological norms prioritize values of wealth and profit over human health and environmental well-being. Science is a key part of this system; there is a substantial tradition of manipulation of evidence, data, and analysis, ultimately designed to maintain favorable conditions for industry at both material and ideological levels. This issue offers examples of how corporations influence science, shows the effects that influence has on environmental and occupational health, and provides evidence of a systemic problem.

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.

A decision model for planetary missions

NASA Technical Reports Server (NTRS)

Hazelrigg, G. A., Jr.; Brigadier, W. L.

1976-01-01

Many techniques developed for the solution of problems in economics and operations research are directly applicable to problems involving engineering trade-offs. This paper investigates the use of utility theory for decision making in planetary exploration space missions. A decision model is derived that accounts for the objectives of the mission - science - the cost of flying the mission and the risk of mission failure. A simulation methodology for obtaining the probability distribution of science value and costs as a function spacecraft and mission design is presented and an example application of the decision methodology is given for various potential alternatives in a comet Encke mission.

Risk communication, geoethics and decision science issues in Japan's disaster management system

NASA Astrophysics Data System (ADS)

Sugimoto, M.

2014-12-01

Issues in Japan's disaster management system were revealed by the 2011 Tohoku earthquake and tsunami, and by the Fukushima Dai-ichi nuclear power station accident. Many important decisions were based on scientific data, but appear not to have sufficiently considered the uncertainties of the data and the societal aspects of the problems. The issues that arose show the need for scientists to appropriately deal with risk communication and geoethics and issues. This paper discusses necessity of　education for risk communication, geoethics and decisions science in school before students become sicentific decision makers in future.

The Sensor Management for Applied Research Technologies (SMART) Project

NASA Technical Reports Server (NTRS)

Goodman, Michael; Jedlovec, Gary; Conover, Helen; Botts, Mike; Robin, Alex; Blakeslee, Richard; Hood, Robbie; Ingenthron, Susan; Li, Xiang; Maskey, Manil;

Fort Collins Science Center: Policy Analysis and Science Assistance

USGS Publications Warehouse

Lamb, Berton L.

2004-01-01

PASA's mission is to integrate biological, social, and economic research so that resource managers can use the resulting information to make informed decisions and resolve resource management conflicts. PASA scientists pursue and conduct scientific analyses that help agencies and Native American tribes to (1) identify impending policy controversies and areas where social and natural science research is needed to address future policy questions; (2) develop methods and approaches to assist researchers in preparing scientific evidence; (3) assess habitat alteration in a manner consistent with policy needs; and (4) evaluate policy options. Branch scientists also evaluate policy options (e.g., effects of different land treatments, fish and wildlife management practices, or visitor/recreation management practices) in response to specific questions faced by policymakers and managers.

Development of a Multicriteria Decision Model for Prioritizing Air Force Environmental Restoration Program Projects

DTIC Science & Technology

1993-09-01

the Degree of Master of Science in Engineering and Environmental Management Thomas E. Ellingson, B.S. T. Gene Gallogly, B.S., M.B.A. September 1993... Science Advisory Board (SAB) notes: One tool that can help foster the evolution of an integrated and targeted national environmental policy is the...and Yacov Y. Haimes. Multiobjective Decision Makina. Theory and Methodology. New York: Elsevier Science Publishing Company, Inc., 1983. Chiras

U-Form vs. M-Form: How to Understand Decision Autonomy Under Healthcare Decentralization? Comment on "Decentralisation of Health Services in Fiji: A Decision Space Analysis".

PubMed

Bustamante, Arturo Vargas

2016-06-07

For more than three decades healthcare decentralization has been promoted in developing countries as a way of improving the financing and delivery of public healthcare. Decision autonomy under healthcare decentralization would determine the role and scope of responsibility of local authorities. Jalal Mohammed, Nicola North, and Toni Ashton analyze decision autonomy within decentralized services in Fiji. They conclude that the narrow decision space allowed to local entities might have limited the benefits of decentralization on users and providers. To discuss the costs and benefits of healthcare decentralization this paper uses the U-form and M-form typology to further illustrate the role of decision autonomy under healthcare decentralization. This paper argues that when evaluating healthcare decentralization, it is important to determine whether the benefits from decentralization are greater than its costs. The U-form and M-form framework is proposed as a useful typology to evaluate different types of institutional arrangements under healthcare decentralization. Under this model, the more decentralized organizational form (M-form) is superior if the benefits from flexibility exceed the costs of duplication and the more centralized organizational form (U-form) is superior if the savings from economies of scale outweigh the costly decision-making process from the center to the regions. Budgetary and financial autonomy and effective mechanisms to maintain local governments accountable for their spending behavior are key decision autonomy variables that could sway the cost-benefit analysis of healthcare decentralization. © 2016 by Kerman University of Medical Sciences.

Analysis of Military Organizational Effectiveness (AMORE) User’s Handbook.

DTIC Science & Technology

1982-12-01

Army TRADOC Systems Analysis Activity WSMR, NM, AT4-TDA (Mr. Billingsley) I t Contract No: DAAD07-82-C-0072 ($99,700 Non -Competitively Awarded...Army position, policy, or decision, unless so designated by other official documentation." S C I ENC E AP P L I CAT I ONS, I N C. 1710 Goodridge...WORK UNIT NUMBERS Science Applications Inc- ,o; -- ACN: 70612 1710 Goodridge DriveI, . McLean. Virginia 771Q1S 11. CONTROLLING OFFICE NAME AND ADDRESS 12

Defense Science And Technology: Further DOD And DOE Actions Needed to Provide Timely Conference Decisions and Analyze Risks from Changes in Participation

DTIC Science & Technology

2015-03-01

Conference Planning and Food and Beverage Costs, Audit Report 11-43 (October 2011). 5White House, Executive Order 13589, Promoting Efficient Spending, 76...and conducted a content analysis of these interviews. Based on this analysis, we enumerated challenges and mitigation strategies as well as benefits...of officials, asking respondents to rate the effect of each potential mitigation strategy and prioritize steps for implementing the strategies . We

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.

Experimental analysis of multi-attribute decision-making based on Atanassov intuitionistic fuzzy sets: a discussion of anchor dependency and accuracy functions

NASA Astrophysics Data System (ADS)

Chen, Ting-Yu

2012-06-01

This article presents a useful method for relating anchor dependency and accuracy functions to multiple attribute decision-making (MADM) problems in the context of Atanassov intuitionistic fuzzy sets (A-IFSs). Considering anchored judgement with displaced ideals and solution precision with minimal hesitation, several auxiliary optimisation models have proposed to obtain the optimal weights of the attributes and to acquire the corresponding TOPSIS (the technique for order preference by similarity to the ideal solution) index for alternative rankings. Aside from the TOPSIS index, as a decision-maker's personal characteristics and own perception of self may also influence the direction in the axiom of choice, the evaluation of alternatives is conducted based on distances of each alternative from the positive and negative ideal alternatives, respectively. This article originates from Li's [Li, D.-F. (2005), 'Multiattribute Decision Making Models and Methods Using Intuitionistic Fuzzy Sets', Journal of Computer and System Sciences, 70, 73-85] work, which is a seminal study of intuitionistic fuzzy decision analysis using deduced auxiliary programming models, and deems it a benchmark method for comparative studies on anchor dependency and accuracy functions. The feasibility and effectiveness of the proposed methods are illustrated by a numerical example. Finally, a comparative analysis is illustrated with computational experiments on averaging accuracy functions, TOPSIS indices, separation measures from positive and negative ideal alternatives, consistency rates of ranking orders, contradiction rates of the top alternative and average Spearman correlation coefficients.

Explainers' development of science-learner identities through participation in a community of practice

NASA Astrophysics Data System (ADS)

Richardson, Anne E.

The urgent environmental issues of today require science-literate adults to engage in business and political decisions to create solutions. Despite the need, few adults have the knowledge and skills of science literacy. This doctoral dissertation is an analytical case study examining the science-learner identity development of Exploratorium Field Trip Explainers. Located in San Francisco, CA, the Exploratorium is a museum of science, art, and human perception dedicated to nurturing curiosity and exploration. Data collected included semi-structured interviews with sixteen former Field Trip Explainers, participant observation of the current Field Trip Explainer Program, and review of relevant documentation. Data analysis employed constant comparative analysis, guided by the communities of practice theoretical framework (Wenger, 1998) and the National Research Council's (2009) Six Strands of Science Learning. Findings of this research indicate that Exploratorium Field Trip Explainers participate in a community of practice made up of a diverse group of people that values curiosity and openness to multiple ways of learning. Many participants entered the Field Trip Explainer Program with an understanding of science learning as a rigid process reserved for a select group of people; through participation in the Field Trip Explainer community of practice, participants developed an understanding of science learning as accessible and a part of everyday life. The findings of this case study have implications for research, theory, and practice in informal adult science learning, access of non-dominant groups to science learning, and adult workplace learning in communities of practice.

Science to Manage a Very Rare Fish in a Very Large River - Pallid Sturgeon in the Missouri River, U.S.A.

NASA Astrophysics Data System (ADS)

Jacobson, R. B.; Colvin, M. E.; Marmorek, D.; Randall, M.

2017-12-01

The Missouri River Recovery Program (MRRP) seeks to revise river-management strategies to avoid jeopardizing the existence of three species: pallid sturgeon (Scaphirhynchus albus), interior least tern (Sterna antillarum)), and piping plover (Charadrius melodus). Managing the river to maintain populations of the two birds (terns and plovers) is relatively straightforward: reproductive success can be modeled with some certainty as a direct, increasing function of exposed sandbar area. In contrast, the pallid sturgeon inhabits the benthic zone of a deep, turbid river and many parts of its complex life history are not directly observable. Hence, pervasive uncertainties exist about what factors are limiting population growth and what management actions may reverse population declines. These uncertainties are being addressed by the MRRP through a multi-step process. The first step was an Effects Analysis (EA), which: documented what is known and unknown about the river and the species; documented quality and quantity of existing information; used an expert-driven process to develop conceptual ecological models and to prioritize management hypotheses; and developed quantitative models linking management actions (flows, channel reconfigurations, and stocking) to population responses. The EA led to development of a science and adaptive-management plan with prioritized allocation of investment among 4 levels of effort ranging from fundamental research to full implementation. The plan includes learning from robust, hypothesis-driven effectiveness monitoring for all actions, with statistically sound experimental designs, multiple metrics, and explicit decision criteria to guide management. Finally, the science plan has been fully integrated with a new adaptive-management structure that links science to decision makers. The reinvigorated investment in science stems from the understanding that costly river-management decisions are not socially or politically supportable without better understanding of how this endangered fish will respond. While some hypotheses can be evaluated without actually implementing management actions in the river, assessing the effectiveness of other forms of habitat restoration requires in-river implementation within a rigorous experimental design.

The application of seismic risk-benefit analysis to land use planning in Taipei City.

PubMed

Hung, Hung-Chih; Chen, Liang-Chun

2007-09-01

In the developing countries of Asia local authorities rarely use risk analysis instruments as a decision-making support mechanism during planning and development procedures. The main purpose of this paper is to provide a methodology to enable planners to undertake such analyses. We illustrate a case study of seismic risk-benefit analysis for the city of Taipei, Taiwan, using available land use maps and surveys as well as a new tool developed by the National Science Council in Taiwan--the HAZ-Taiwan earthquake loss estimation system. We use three hypothetical earthquakes to estimate casualties and total and annualised direct economic losses, and to show their spatial distribution. We also characterise the distribution of vulnerability over the study area using cluster analysis. A risk-benefit ratio is calculated to express the levels of seismic risk attached to alternative land use plans. This paper suggests ways to perform earthquake risk evaluations and the authors intend to assist city planners to evaluate the appropriateness of their planning decisions.

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

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

A content analysis of sixth-grade, seventh-grade, and eighth-grade science textbooks with regard to the nature of science

NASA Astrophysics Data System (ADS)

Phillips, Marianne C.

Science teachers rely heavily on their textbooks; for many, it is the only curriculum they use (Weiss, 1993). Therefore, it is important these materials convey an accurate conception of the nature of science. Science for All Americans (AAAS, 1990) and the National Science Education Standards (NRC, 1996) call for teaching students about the nature of science. Including the nature of science throughout science textbooks will produce scientifically literate citizens (Driver and others, 1993) with an improved ability to make informed decisions (McComas, 1998). Teaching the nature of science supports the successful learning of science content and process (Driver and others, 1996), and bridges the gap between the two cultures of practicing scientists and school science (Sorsby, 2000). Do middle school science textbooks provide a balanced presentation of the nature of science throughout their text? To determine the answer, this investigation used a content analysis technique to analyze a random sample from the introduction chapter and the rest of the textbook chapters from twelve middle school science textbooks for the four aspects of the nature of science (Chiappetta, Fillman, & Sethna, 2004). Scoring procedures were used to determine interrater agreement using both Cohen's kappa (kappa) and Krippendorff's alpha (alpha). Kappa values were determined to be fair to excellent beyond chance among the three coders. The resulting values for Krippendorff's alpha ranged from acceptable (alpha > .80) to unacceptable (alpha < .67). The results from this content analysis indicated little change from previous studies in the balance for the themes of the nature of science. This investigation found the sixth-grade, seventh-grade, and eighth-grade science textbooks adopted by Texas to have unbalanced presentations for the four aspects of the nature of science. In addition, it found these middle school science textbooks are not balanced across programs. This imbalance is providing students with a rudimentary and fragmented view of how science works, despite the fact that science impacts every aspect of life (McComas, 1998). Given the impact of textbooks on learning, it is recommended that teachers be informed of these shortcomings to enable them to supplement content where it is lacking.

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.

Science teachers' worldviews and values regarding nature and the environment

NASA Astrophysics Data System (ADS)

Roberts, Wendy P.

According to the National Science Education Standards (1996), science educators are challenged with the goal of educating future citizens and policy makers to make informed decisions concerning socio-scientific issues. Previous science education research has not explored the influence of science teachers' personal worldviews and values in achieving this educational goal. The purpose of this study was to investigate secondary science teachers' worldviews and values as they relate to nature and environmental education in their science classrooms. The participants' descriptions of their environmental personae and their perception of its influence in their classrooms were also examined. The participants represented a purposeful sample of twelve certified secondary school science teachers who teach in a suburban Atlanta, Georgia school. The study employed an interpretive, qualitative methodology using a constant comparative, inductive analysis design to develop grounded theory. Each participant's worldview, values, and environmental personae regarding the natural world and the environment were explored using William Cobern's (2000) Nature Card Sort instrument, responses to five environmental scenarios and individual interviews that addressed each participant's interpretation of the effect that personal worldviews and values have in their science classrooms. The participants' worldviews and values were disproportionately reflective of both science and society with far more weight given to the contextual values of society rather than the constitutive values of science. Most of these teachers had strong spiritual worldviews of nature; however, these views were of a Puritanical nature rather than Aboriginal. The participants felt conflicted about the appropriate course of action in many environmental issues. Contrary to other studies conducted in this field, there were few philosophical differences between teachers in the different disciplines of science, with the exception of many of the physical science teachers' belief that their worldviews and values were not revealed in their classroom activities. All of the teachers considered heterogeneous philosophies and value systems to be important components of science education. Describing these teachers' worldviews and value systems is an essential first step in developing a better understanding of teachers' influence in socio-scientific decision making.

Methodological decisions and the evaluation of possible effects of different family structures on children: The new family structures survey (NFSS).

PubMed

Schumm, Walter R

2012-11-01

Every social science researcher must make a number of methodological decisions when planning and implementing research projects. Each such decision carries with it both advantages and limitations. The decisions faced and made by Regnerus (2012) are discussed here in the wider context of social science literature regarding same-sex parenting. Even though the apparent outcomes of Regnerus's study were unpopular, the methodological decisions he made in the design and implementation of the New Family Structures Survey were not uncommon among social scientists, including many progressive, gay and lesbian scholars. These decisions and the research they produced deserve considerable and continued discussion, but criticisms of the underlying ethics and professionalism are misplaced because nearly every methodological decision that was made has ample precedents in research published by many other credible and distinguished scholars. Copyright © 2012 Elsevier Inc. All rights reserved.

The information value of early career productivity in mathematics: a ROC analysis of prediction errors in bibliometricly informed decision making.

PubMed

Lindahl, Jonas; Danell, Rickard

The aim of this study was to provide a framework to evaluate bibliometric indicators as decision support tools from a decision making perspective and to examine the information value of early career publication rate as a predictor of future productivity. We used ROC analysis to evaluate a bibliometric indicator as a tool for binary decision making. The dataset consisted of 451 early career researchers in the mathematical sub-field of number theory. We investigated the effect of three different definitions of top performance groups-top 10, top 25, and top 50 %; the consequences of using different thresholds in the prediction models; and the added prediction value of information on early career research collaboration and publications in prestige journals. We conclude that early career performance productivity has an information value in all tested decision scenarios, but future performance is more predictable if the definition of a high performance group is more exclusive. Estimated optimal decision thresholds using the Youden index indicated that the top 10 % decision scenario should use 7 articles, the top 25 % scenario should use 7 articles, and the top 50 % should use 5 articles to minimize prediction errors. A comparative analysis between the decision thresholds provided by the Youden index which take consequences into consideration and a method commonly used in evaluative bibliometrics which do not take consequences into consideration when determining decision thresholds, indicated that differences are trivial for the top 25 and the 50 % groups. However, a statistically significant difference between the methods was found for the top 10 % group. Information on early career collaboration and publication strategies did not add any prediction value to the bibliometric indicator publication rate in any of the models. The key contributions of this research is the focus on consequences in terms of prediction errors and the notion of transforming uncertainty into risk when we are choosing decision thresholds in bibliometricly informed decision making. The significance of our results are discussed from the point of view of a science policy and management.

Stakeholders’ analysis of the medical tourism industry: development strategies in Isfahan

PubMed Central

Jabbari, Alireza; Ferdosi, Masoud; Keyvanara, Mahmoud; Agharahimi, Zahra

2013-01-01

Introduction: Policy makers and decision makers must identify the stakeholders in medical tourism, who will be affected by and/or affect this industry, and determine their status for partnership. The aim of this study was to identify the main stakeholders in Isfahan's medical tourism, analyze them, and provide strategies for developing this industry. Materials and Methods: A qualitative study was conducted in 2011. At first, the key stakeholders in medical tourism were identified in accordance with the experts’ idea and literature review. Then we interviewed the key stakeholders. Data analysis was conducted using the stakeholders’ analyses, which helped in developing strategies. Results: The result showed that the key stakeholders were made up of nine groups. They included the provincial governance of Isfahan, the Cultural Heritage and Tourism Organization of Isfahan, the Chamber of Commerce, the Medical Council, the Isfahan University of Medical Sciences, health service providers, tourism services providers, investors, and the Tosea Saderat Bank. The rate of knowledge of the Cultural Heritage and Tourism Organization of Isfahan, clinic and international relationship of Isfahan University of Medical Sciences from government policy about medical tourism were very much. Private Hospitals, the Medical Council, investors, and the University of Medical Sciences had great power. Private hospitals, clinics, the Cultural Heritage and Tourism Organization of Isfahan, and the University of Medical Sciences were in the supporter position. The effected strategies were the included strategies, focused on increasing power; increasing support, and on maintaining the position. Conclusion: There are different stakeholders in the medical tourism industry. Thus, policy makers can plan, make a policy and decision, and use effective strategies to develop medical tourism by designing a medical tourism stakeholders’ network, a medical tourism provincial council, and clarify the roles and responsibilities of stakeholders. PMID:24251280

Stakeholders' analysis of the medical tourism industry: development strategies in Isfahan.

PubMed

Jabbari, Alireza; Ferdosi, Masoud; Keyvanara, Mahmoud; Agharahimi, Zahra

2013-01-01

Policy makers and decision makers must identify the stakeholders in medical tourism, who will be affected by and/or affect this industry, and determine their status for partnership. The aim of this study was to identify the main stakeholders in Isfahan's medical tourism, analyze them, and provide strategies for developing this industry. A qualitative study was conducted in 2011. At first, the key stakeholders in medical tourism were identified in accordance with the experts' idea and literature review. Then we interviewed the key stakeholders. Data analysis was conducted using the stakeholders' analyses, which helped in developing strategies. The result showed that the key stakeholders were made up of nine groups. They included the provincial governance of Isfahan, the Cultural Heritage and Tourism Organization of Isfahan, the Chamber of Commerce, the Medical Council, the Isfahan University of Medical Sciences, health service providers, tourism services providers, investors, and the Tosea Saderat Bank. The rate of knowledge of the Cultural Heritage and Tourism Organization of Isfahan, clinic and international relationship of Isfahan University of Medical Sciences from government policy about medical tourism were very much. Private Hospitals, the Medical Council, investors, and the University of Medical Sciences had great power. Private hospitals, clinics, the Cultural Heritage and Tourism Organization of Isfahan, and the University of Medical Sciences were in the supporter position. The effected strategies were the included strategies, focused on increasing power; increasing support, and on maintaining the position. There are different stakeholders in the medical tourism industry. Thus, policy makers can plan, make a policy and decision, and use effective strategies to develop medical tourism by designing a medical tourism stakeholders' network, a medical tourism provincial council, and clarify the roles and responsibilities of stakeholders.

An investigation of environmental and sustainability discourses associated with the substantive purposes of environmental assessment

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

Rozema, Jaap G., E-mail: j.rozema@uea.ac.uk; Bond, Alan J., E-mail: alan.bond@uea.ac.uk; Cashmore, Matthew, E-mail: cashmore@plan.aau.dk

2012-02-15

This paper investigates the discursive construction of the substantive purposes of environmental assessment (EA). It addresses these purposes by exploring the complex and often multifaceted linkages between political factors and plural views of democracy, public participation, and the role of science that are embedded in environmental and sustainability discourses. The interaction between policy-making and public actors leads to the formulation of divergent and potentially competing rationales for public participation, and for social appraisal more generally. Participatory approaches have also given impetus to the development of several interpretations on the role of science in assessment procedures. Science is important in mediatingmore » public participation and the two are therefore reciprocally linked. This leads to discourses that become manifest in the construction of substantive purposes. Discourse analysis in EA is a relevant method for examining trends and patterns in sustainable development. It is argued that public participation is an important, if not decisive, variable in the articulation and civil legitimacy of certain purposes. A general proposition that results from this paper is that EA, although typically presented as an objective scientific tool, is an intrinsically normative process. Enhanced knowledge on the construction, and reconstruction over time, of substantive purposes is required if environmental and sustainability discourses are to be used and understood as meaningful analytical instruments to assess the socio-political implications of EA. - Highlights: Black-Right-Pointing-Pointer Substantive purposes related to environmental assessment may be best analyzed through discourse analysis. Black-Right-Pointing-Pointer Environmental and sustainability discourses are contingent on the level of participatory democracy and civic science. Black-Right-Pointing-Pointer Public participation is a decisive variable in the construction of the substantive purpose of environmental assessment.« less

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.

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…

76 FR 62812 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-11

... information to OMB for review and clearance. Appeals of Science-Based Decisions Above the Division Level at...] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment Request; Appeals of Science- Based Decisions Above the Division Level at the Center for Veterinary...

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…

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…

Human Systems Integration Competency Development for Navy Systems Commands

DTIC Science & Technology

2012-09-01

cognizance of Applied Engineering /Psychology relative to knowledge engineering, training, teamwork, user interface design and decision sciences. KSA...cognizance of Applied Engineering /Psychology relative to knowledge engineering, training, teamwork, user interface design and decision sciences...requirements (as required). Fundamental cognizance of Applied Engineering / Psychology relative to knowledge engineering, training, team work, user

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...

Is risk analysis scientific?

PubMed

Hansson, Sven Ove; Aven, Terje

2014-07-01

This article discusses to what extent risk analysis is scientific in view of a set of commonly used definitions and criteria. We consider scientific knowledge to be characterized by its subject matter, its success in developing the best available knowledge in its fields of study, and the epistemic norms and values that guide scientific investigations. We proceed to assess the field of risk analysis according to these criteria. For this purpose, we use a model for risk analysis in which science is used as a base for decision making on risks, which covers the five elements evidence, knowledge base, broad risk evaluation, managerial review and judgment, and the decision; and that relates these elements to the domains experts and decisionmakers, and to the domains fact-based or value-based. We conclude that risk analysis is a scientific field of study, when understood as consisting primarily of (i) knowledge about risk-related phenomena, processes, events, etc., and (ii) concepts, theories, frameworks, approaches, principles, methods and models to understand, assess, characterize, communicate, and manage risk, in general and for specific applications (the instrumental part). © 2014 Society for Risk Analysis.

NASA Earth Observations Informing Renewable Energy Management and Policy Decision Making

NASA Technical Reports Server (NTRS)

Eckman, Richard S.; Stackhouse, Paul W., Jr.

2008-01-01

The NASA Applied Sciences Program partners with domestic and international governmental organizations, universities, and private entities to improve their decisions and assessments. These improvements are enabled by using the knowledge generated from research resulting from spacecraft observations and model predictions conducted by NASA and providing these as inputs to the decision support and scenario assessment tools used by partner organizations. The Program is divided into eight societal benefit areas, aligned in general with the Global Earth Observation System of Systems (GEOSS) themes. The Climate Application of the Applied Sciences Program has as one of its focuses, efforts to provide for improved decisions and assessments in the areas of renewable energy technologies, energy efficiency, and climate change impacts. The goals of the Applied Sciences Program are aligned with national initiatives such as the U.S. Climate Change Science and Technology Programs and with those of international organizations including the Group on Earth Observations (GEO) and the Committee on Earth Observation Satellites (CEOS). Activities within the Program are funded principally through proposals submitted in response to annual solicitations and reviewed by peers.

"The casual cruelty of our prejudices": on Walter Lippmann's theory of stereotype and its "obliteration" in psychology and social science.

PubMed

Bottom, William P; Kong, Dejun Tony

2012-01-01

Reflecting on his wartime government service, Walter Lippmann (1922) developed a theory of policy formulation and error. Introducing the constructs of stereotype, mental model, blind spots, and the process of manufacturing consent, his theory prescribed interdisciplinary social science as a tool for enhancing policy making in business and government. Lippmann used his influence with the Rockefeller foundations, business leaders, Harvard and the University of Chicago to gain support for this program. Citation analysis of references to "stereotype" and Lippmann reveals the rapid spread of the concept across the social sciences and in public discourse paralleled by obliteration by incorporation of the wider theory in behavioral science. "Stereotype" is increasingly invoked in anthropology, economics, and sociology though Lippmann and his wider theory ceased being cited decades ago. In psychology, citations are increasing but content analysis revealed blind spots and misconceptions about the theory and prescription. Studies of heuristics, biases, and organizational decision substantiate Lippmann's theory of judgment and choice. But his model for social science failed to consider the bounded rationality and blind spots of its practitioners. Policy formulation today is supported by research from narrow disciplinary silos not interdisciplinary science that reflects an awareness of history. © 2012 Wiley Periodicals, Inc.

Big data and visual analytics in anaesthesia and health care.

PubMed

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

2015-09-01

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

U.S. Geological Survey Program on the South Florida Ecosystem; proceedings of South Florida Restoration Science Forum, May 17-19, 1999, Boca Raton, Florida

USGS Publications Warehouse

Gerould, Sarah; Higer, Aaron

1999-01-01

The purpose of the forum is to highlight the powerful connection between science and management decisions in restoration efforts. The public's investment in science is paying off in support of better management decisions and restoration of imperiled south Florida Ecosystems, including the internationally recognized, globally significant Everglades. The forum affords a unique opportunity for elected officials and other policy- and decision makers, along with the general public, to see--under one roof--highlights of the most significant restoration science and management efforts underway. The forum promotes the link between science and management. Scientists and decisionmakers will come together to discuss the needs of each in order to ensure that plans for restoration are based in science and are the most cost effective and highest quality possible. Continued vigilance over south Florida ecosystems is essential to prevent further harm and to restore them. Representatives from numerous federal, state, local, and nongovernmental entities are organizing the forum for the Science Coordination Team of the South Florida Ecosystem Working Group. The U.S. Geological Survey and the South Florida Water Management District are the primary hosts of the forum.

The four cultures: Public engagement with science only, art only, neither, or both museums.

PubMed

Shein, Paichi Pat; Li, Yuh-Yuh; Huang, Tai-Chu

2015-11-01

This study uses an art-and-science comparative lens to understand the science culture, particularly the public engagement with science museums. A representational Taiwanese sample of 1863 subjects was categorized into "four cultures," who visit science only, art only, neither, or both museums, resulting in six multivariate logistic regression models. Knowledge of science, interests in scientific and social issues, and socio-demographic variables were considered in the models. Adults with children and males prefer science museums, females prefer art museums, and the young and urban intellects show no strong preference, appearing to be open to both science and art museums. The findings show the complex decisions the public make in visiting museums. It is no longer a strictly science or art decision, as framed by Snow's "The Two Cultures" argument; rather, the possibility of visiting both museums has emerged, a phenomenon we describe as cognitive polyphasia. © The Author(s) 2015.

A convenient dichotomy: critical eyes on the limits to biological knowledge

NASA Astrophysics Data System (ADS)

Milne, Catherine

2011-06-01

In The Secret Identity of a Biology Textbook: straight and naturally sexed, Jesse Bazzul and Heather Sykes conduct a case study of a biology textbook as an oppressive instructional material. Using queer theory they explore how the text of the biology textbook produces "truths" about sex, gender, and sexuality. Their analysis is complemented by the Forum papers by Jay Lemke and Francis Broadway who broaden the analysis examining the way that what counts as knowledge in science is a political decision while also encouraging authors, including Bazzul and Sykes, to also look critically at their own theoretical lenses. In this paper I pull together their ideas while exploring cultural contexts for a more nuanced representation of biological knowledge and the politics of what it means to know science.

Energy-Water Nexus Knowledge Discovery Framework

NASA Astrophysics Data System (ADS)

Bhaduri, B. L.; Foster, I.; Chandola, V.; Chen, B.; Sanyal, J.; Allen, M.; McManamay, R.

2017-12-01

As demand for energy grows, the energy sector is experiencing increasing competition for water. With increasing population and changing environmental, socioeconomic scenarios, new technology and investment decisions must be made for optimized and sustainable energy-water resource management. This requires novel scientific insights into the complex interdependencies of energy-water infrastructures across multiple space and time scales. An integrated data driven modeling, analysis, and visualization capability is needed to understand, design, and develop efficient local and regional practices for the energy-water infrastructure components that can be guided with strategic (federal) policy decisions to ensure national energy resilience. To meet this need of the energy-water nexus (EWN) community, an Energy-Water Knowledge Discovery Framework (EWN-KDF) is being proposed to accomplish two objectives: Development of a robust data management and geovisual analytics platform that provides access to disparate and distributed physiographic, critical infrastructure, and socioeconomic data, along with emergent ad-hoc sensor data to provide a powerful toolkit of analysis algorithms and compute resources to empower user-guided data analysis and inquiries; and Demonstration of knowledge generation with selected illustrative use cases for the implications of climate variability for coupled land-water-energy systems through the application of state-of-the art data integration, analysis, and synthesis. Oak Ridge National Laboratory (ORNL), in partnership with Argonne National Laboratory (ANL) and researchers affiliated with the Center for International Earth Science Information Partnership (CIESIN) at Columbia University and State University of New York-Buffalo (SUNY), propose to develop this Energy-Water Knowledge Discovery Framework to generate new, critical insights regarding the complex dynamics of the EWN and its interactions with climate variability and change. An overarching objective of this project is to integrate impacts, adaptation, and vulnerability (IAV) science with emerging data science to meet the data analysis needs of the U.S. Department of Energy and partner federal agencies with respect to the EWN.

Combining statistical inference and decisions in ecology.

PubMed

Williams, Perry J; Hooten, Mevin B

2016-09-01

Statistical decision theory (SDT) is a sub-field of decision theory that formally incorporates statistical investigation into a decision-theoretic framework to account for uncertainties in a decision problem. SDT provides a unifying analysis of three types of information: statistical results from a data set, knowledge of the consequences of potential choices (i.e., loss), and prior beliefs about a system. SDT links the theoretical development of a large body of statistical methods, including point estimation, hypothesis testing, and confidence interval estimation. The theory and application of SDT have mainly been developed and published in the fields of mathematics, statistics, operations research, and other decision sciences, but have had limited exposure in ecology. Thus, we provide an introduction to SDT for ecologists and describe its utility for linking the conventionally separate tasks of statistical investigation and decision making in a single framework. We describe the basic framework of both Bayesian and frequentist SDT, its traditional use in statistics, and discuss its application to decision problems that occur in ecology. We demonstrate SDT with two types of decisions: Bayesian point estimation and an applied management problem of selecting a prescribed fire rotation for managing a grassland bird species. Central to SDT, and decision theory in general, are loss functions. Thus, we also provide basic guidance and references for constructing loss functions for an SDT problem. © 2016 by the Ecological Society of America.

Connecting Inquiry and Values in Science Education. An Approach Based on John Dewey's Philosophy

NASA Astrophysics Data System (ADS)

Lee, Eun Ah; Brown, Matthew J.

2018-03-01

Conducting scientific inquiry is expected to help students make informed decisions; however, how exactly it can help is rarely explained in science education standards. According to classroom studies, inquiry that students conduct in science classes seems to have little effect on their decision-making. Predetermined values play a large role in students' decision-making, but students do not explore these values or evaluate whether they are appropriate to the particular issue they are deciding, and they often ignore relevant scientific information. We explore how to connect inquiry and values, and how this connection can contribute to informed decision-making based on John Dewey's philosophy. Dewey argues that scientific inquiry should include value judgments and that conducting inquiry can improve the ability to make good value judgments. Value judgment is essential to informed, rational decision-making, and Dewey's ideas can explain how conducting inquiry can contribute to make an informed decision through value judgment. According to Dewey, each value judgment during inquiry is a practical judgment guiding action, and students can improve their value judgments by evaluating their actions during scientific inquiry. Thus, we suggest that students need an opportunity to explore values through scientific inquiry and that practicing value judgment will help informed decision-makings.

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.

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.”

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.

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.

Accepting the challenge: what academic health sciences library directors do to become effective leaders.

PubMed

Fought, Rick L; Misawa, Mitsunori

2018-04-01

This study sought to better understand effective leadership through the lived experiences of academic health sciences library directors. Phenomenological interviews were conducted with eight academic health sciences library directors to capture the essence of their shared leadership experiences. The research question that guided the study was: How do academic health sciences library directors understand their leadership effectiveness? The interviews were transcribed and coded, and the data were analyzed thematically. Three main themes emerged from data after analysis: assessment of the environment, strategies and decisions, and critical skills. Assessment of the environment includes awareness not only of trends in libraries and technology, but also the trends in health information, higher education, and current events and politics of their institutions and states. The strategies and decisions theme is about the ability to think both in the long-term and short-term when leading the library. Finally, critical skills are those leadership skills that the research participants identified as most important to their leadership effectiveness. The study identified three main themes capturing the essence of the research participants' leadership experiences. The three themes constitute a wide array of leadership skills that are important to learn, understand, and develop to increase leadership effectiveness. Effective leadership is fundamental to obtaining long-term strategic goals and is critical to the long-term future of the libraries.

Incommensurability: its implications for the patient/physician relation.

PubMed

Veatch, R M; Stempsey, W E

1995-06-01

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

Accepting the challenge: what academic health sciences library directors do to become effective leaders

PubMed Central

Fought, Rick L.; Misawa, Mitsunori

2018-01-01

Objective This study sought to better understand effective leadership through the lived experiences of academic health sciences library directors. Methods Phenomenological interviews were conducted with eight academic health sciences library directors to capture the essence of their shared leadership experiences. The research question that guided the study was: How do academic health sciences library directors understand their leadership effectiveness? The interviews were transcribed and coded, and the data were analyzed thematically. Results Three main themes emerged from data after analysis: assessment of the environment, strategies and decisions, and critical skills. Assessment of the environment includes awareness not only of trends in libraries and technology, but also the trends in health information, higher education, and current events and politics of their institutions and states. The strategies and decisions theme is about the ability to think both in the long-term and short-term when leading the library. Finally, critical skills are those leadership skills that the research participants identified as most important to their leadership effectiveness. Conclusions The study identified three main themes capturing the essence of the research participants’ leadership experiences. The three themes constitute a wide array of leadership skills that are important to learn, understand, and develop to increase leadership effectiveness. Effective leadership is fundamental to obtaining long-term strategic goals and is critical to the long-term future of the libraries. PMID:29632444

Department of Defense Laboratory Civilian Science and Engineering Workforce - 2013

DTIC Science & Technology

2013-10-01

was completed by the Institute for Defense Analysis (IDA) in 20091 with an update prepared by the Defense Laboratories Office (DLO) in 2011. By...demographics will emerge giving decision- and policy-makers greater clarity about the impacts of budgets and macro scale policies on this important...Physiology 819 Environmental Engineering 1382 Food Technology 414 Entomology 830 Mechanical Engineering 1384 Textile Technology 415 Toxicology 840

Narrative, Visual Model and Dragon Culture: A Narrative Analysis of Value Presentation in Two Movies Preferred by Chinese Adolescents. Research Bulletin 98.

ERIC Educational Resources Information Center

Jin, He

A narrative study was conducted of the visual models in two movies preferred by Chinese adolescents in two schools (n=152). The two movies studied were "Three Decisive Campaigns" (A Chinese Trilogy) and the American science fiction movie, "Jurassic Park." The modified approach from Bandura's modeling theory and film semiotics…

Coupled Ethical-Epistemic Analysis of Climate Change

NASA Astrophysics Data System (ADS)

Vezer, M.

2015-12-01

Are there inherent limitations to what we can know about how the climate will change in the years ahead? How can we use what is known about the future climate in a way that promotes ethical decision-making? These questions call for urgent attention because important policy decisions need to be made in order to prepare for climate change in North America and around the world. While the science of climate change is central to this line of inquiry, the fields of epistemology, moral, political and environmental philosophy may provide insights on how these issues should be addressed. Detailing the relationship between evidential and ethical dimensions of climate change, this research aims to improve our understanding of the interconnections among several lines of inquiry and to develop solutions to problems of decision-making under conditions of scientific uncertainty.

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

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.

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.

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.

Youth Science Ambassadors: Connecting Indigenous communities with Ocean Networks Canada tools to inspire future ocean scientists and marine resource managers

NASA Astrophysics Data System (ADS)

Pelz, M.; Hoeberechts, M.; Hale, C.; McLean, M. A.

2017-12-01

This presentation describes Ocean Networks Canada's (ONC) Youth Science Ambassador Program. The Youth Science Ambassadors are a growing network of youth in Canadian coastal communities whose role is to connect ocean science, ONC data, and Indigenous knowledge. By directly employing Indigenous youth in communities in which ONC operates monitoring equipment, ONC aims to encourage wider participation and interest in ocean science and exploration. Further, the Youth Science Ambassadors act as role models and mentors to other local youth by highlighting connections between Indigenous and local knowledge and current marine science efforts. Ocean Networks Canada, an initiative of the University of Victoria, develops, operates, and maintains cabled ocean observatory systems. These include technologies developed on the world-leading NEPTUNE and VENUS observatories as well as community observatories in the Arctic and coastal British Columbia. These observatories, large and small, enable communities, users, scientists, teachers, and students to monitor real-time and historical data from the local marine environment from anywhere on the globe. Youth Science Ambassadors are part of the Learning and Engagement team whose role includes engaging Indigenous communities and schools in ocean science through ONC's K-12 Ocean Sense education program. All of the data collected by ONC are freely available over the Internet for non-profit use, including disaster planning, community-based decision making, and education. The Youth Science Ambassadors support collaboration with Indigenous communities and schools by facilitating educational programming, encouraging participation in ocean data collection and analysis, and fostering interest in ocean science. In addition, the Youth Science Ambassadors support community collaboration in decision-making for instrument deployment locations and identify ways in which ONC can help to address any areas of concern raised by the community. This presentation will share the successes and challenges of the Youth Science Ambassador program in engaging both rural and urban Indigenous communities. We will share activities and experiences, discuss how we have adapted to meet the needs of each community, and outline ideas we have for the future development of the program.

Exploring persistence in science in CEGEP: Toward a motivational model

NASA Astrophysics Data System (ADS)

Simon, Rebecca A.

There is currently a shortage of science teachers in North America and continually decreasing rates of enrollment in science programs. Science continues to be the academic domain that sees the highest attrition rates, particularly for women. The purpose of the present study was to examine male and female students' experiences in mathematics and science courses during a crucial time in their academic development in an attempt to explain the high attrition rates in science between the last year of high school and the first year of CEGEP (junior college). In line with self-determination theory (Deci & Ryan, 1985), as well as achievement-goal theory (Pintrich & Schunk, 1996) and research on academic emotions, the study examined the relation between a set of motivational variables (i.e., perceptions of autonomy-support, self-efficacy, achievement goals, and intrinsic motivation), affect, achievement, and persistence. A secondary objective was to test a motivational model of student persistence in science using structural equation modeling (SEM). The sample consisted of 603 male and 706 female students from four English-language CEGEPs in the greater Montreal area. Just prior to beginning CEGEP, participants completed a questionnaire that asked about the learning environment in high school mathematics and science classes as well as student characteristics including sources of motivation, personal achievement goals, and feelings of competence. All students expressed an initial interest in pursuing a career in science by enrolling in optional advanced mathematics and science courses during high school. Multivariate analysis of variance was used to examine differences among male and female students across the variables measured. Structural equation modeling was used to test the validity of a questionnaire designed specifically to gather information about CEGEP students' experiences with mathematics and science, and to evaluate the fit of a model designed to reflect the interactions between the different variables. Students' experiences during high school have an impact on their decisions to pursue or abandon their path toward an eventual science career. Classroom experiences and student characteristics interact to influence their performance and affect, which in turn influence their decisions. Implications for promoting persistence in science 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…

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.

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.

Complex Decision-Making in Heart Failure: A Systematic Review and Thematic Analysis.

PubMed

Hamel, Aimee V; Gaugler, Joseph E; Porta, Carolyn M; Hadidi, Niloufar Niakosari

Heart failure follows a highly variable and difficult course. Patients face complex decisions, including treatment with implantable cardiac defibrillators, mechanical circulatory support, and heart transplantation. The course of decision-making across multiple treatments is unclear yet integral to providing informed and shared decision-making. Recognizing commonalities across treatment decisions could help nurses and physicians to identify opportunities to introduce discussions and support shared decision-making. The specific aims of this review are to examine complex treatment decision-making, specifically implantable cardiac defibrillators, ventricular assist device, and cardiac transplantation, and to recognize commonalities and key points in the decisional process. MEDLINE, CINAHL, PsycINFO, and Web of Science were searched for English-language studies that included qualitative findings reflecting the complexity of heart failure decision-making. Using a 3-step process, findings were synthesized into themes and subthemes. Twelve articles met criteria for inclusion. Participants included patients, caregivers, and clinicians and included decisions to undergo and decline treatment. Emergent themes were "processing the decision," "timing and prognostication," and "considering the future." Subthemes described how participants received and understood information about the therapy, making and changing a treatment decision, timing their decision and gauging health status outcomes in the context of their decision, the influence of a life or death decision, and the future as a factor in their decisional process. Commonalities were present across therapies, which involved the timing of discussions, the delivery of information, and considerations of the future. Exploring this further could help support patient-centered care and optimize shared decision-making interventions.

Guidance on the Use of Best Available Science under the U.S. Endangered Species Act

NASA Astrophysics Data System (ADS)

Murphy, Dennis D.; Weiland, Paul S.

2016-07-01

The Endangered Species Act's best available science mandate has been widely emulated and reflects a Congressional directive to ensure that decisions made under the Act are informed by reliable knowledge applied using a structured approach. We build on a standing literature by describing the role of the best science directive in the Act's implementation and best practices that can be employed to realize the directive. Next we describe recurring impediments to realizing determinations by the federal wildlife agencies that are based on the best available science. We then identify the types of data, analyses, and modeling efforts that can serve as best science. Finally, we consider the role and application of best available science in effects analysis and adaptive management. We contend that more rigorous adherence by the wildlife agencies to the best available science directive and more assiduous judicial oversight of agency determinations and actions is essential for effective implementation of the Act, particularly where it has substantial ramifications for listed species, stakeholder segments of society, or both.

Guidance on the Use of Best Available Science under the U.S. Endangered Species Act.

PubMed

Murphy, Dennis D; Weiland, Paul S

2016-07-01

The Endangered Species Act's best available science mandate has been widely emulated and reflects a Congressional directive to ensure that decisions made under the Act are informed by reliable knowledge applied using a structured approach. We build on a standing literature by describing the role of the best science directive in the Act's implementation and best practices that can be employed to realize the directive. Next we describe recurring impediments to realizing determinations by the federal wildlife agencies that are based on the best available science. We then identify the types of data, analyses, and modeling efforts that can serve as best science. Finally, we consider the role and application of best available science in effects analysis and adaptive management. We contend that more rigorous adherence by the wildlife agencies to the best available science directive and more assiduous judicial oversight of agency determinations and actions is essential for effective implementation of the Act, particularly where it has substantial ramifications for listed species, stakeholder segments of society, or both.

Massively parallel sequencing and the emergence of forensic genomics: Defining the policy and legal issues for law enforcement.

PubMed

Scudder, Nathan; McNevin, Dennis; Kelty, Sally F; Walsh, Simon J; Robertson, James

2018-03-01

Use of DNA in forensic science will be significantly influenced by new technology in coming years. Massively parallel sequencing and forensic genomics will hasten the broadening of forensic DNA analysis beyond short tandem repeats for identity towards a wider array of genetic markers, in applications as diverse as predictive phenotyping, ancestry assignment, and full mitochondrial genome analysis. With these new applications come a range of legal and policy implications, as forensic science touches on areas as diverse as 'big data', privacy and protected health information. Although these applications have the potential to make a more immediate and decisive forensic intelligence contribution to criminal investigations, they raise policy issues that will require detailed consideration if this potential is to be realised. The purpose of this paper is to identify the scope of the issues that will confront forensic and user communities. Copyright © 2017 The Chartered Society of Forensic Sciences. All rights reserved.

Opening the Black Box: Cognitive Strategies in Family Practice

PubMed Central

Christensen, Robert E.; Fetters, Michael D.; Green, Lee A.

2005-01-01

PURPOSE We wanted to describe the cognitive strategies used by family physicians when structuring the decision-making tasks of an outpatient visit. METHODS This qualitative study used cognitive task analysis, a structured interview method in which a trained interviewer works individually with expert decision makers to capture their stages and elements of information processing. RESULTS Eighteen family physicians of varying levels of experience participated. Three dominant themes emerged: time pressure, a high degree of variation in task structuring, and varying degrees of task automatization. Based on these data and previous research from the cognitive sciences, we developed a model of novice and expert approaches to decision making in primary care. The model illustrates differences in responses to unexpected opportunity in practice, particularly the expert’s use of attentional surplus (reserve capacity to handle problems) vs the novice’s choice between taking more time or displacing another task. CONCLUSIONS Family physicians have specific, highly individualized cognitive task-structuring approaches and show the decision behavior features typical of expert decision makers in other fields. This finding places constraints on and suggests useful approaches for improving practice. PMID:15798041

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

PubMed

Pihlajamäki, Mia; Tynkkynen, Nina

2011-03-01

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

Cubesats: Cost-effective science and technology platforms for emerging and developing nations

NASA Astrophysics Data System (ADS)

Woellert, Kirk; Ehrenfreund, Pascale; Ricco, Antonio J.; Hertzfeld, Henry

2011-02-01

The development, operation, and analysis of data from cubesats can promote science education and spur technology utilization in emerging and developing nations. This platform offers uniquely low construction and launch costs together with a comparative ubiquity of launch providers; factors that have led more than 80 universities and several emerging nations to develop programs in this field. Their small size and weight enables cubesats to “piggyback” on rocket launches and accompany orbiters travelling to Moon and Mars. It is envisaged that constellations of cubesats will be used for larger science missions. We present a brief history, technology overview, and summary of applications in science and industry for these small satellites. Cubesat technical success stories are offered along with a summary of pitfalls and challenges encountered in both developed and emerging nations. A discussion of economic and public policy issues aims to facilitate the decision-making process for those considering utilization of this unique technology.

Toward a transnational history of the social sciences.

PubMed

Heilbron, Johan; Guilhot, Nicolas; Jeanpierre, Laurent

2008-01-01

Historical accounts of the social sciences have too often accepted local or national institutions as a self-evident framework of analysis, instead of considering them as being embedded in transnational relations of various kinds. Evolving patterns of transnational mobility and exchange cut through the neat distinction between the local, the national, and the inter-national, and thus represent an essential component in the dynamics of the social sciences, as well as a fruitful perspective for rethinking their historical development. In this programmatic outline, it is argued that a transnational history of the social sciences may be fruitfully understood on the basis of three general mechanisms, which have structured the transnational flows of people and ideas in decisive ways: (a) the functioning of international scholarly institutions, (b) the transnational mobility of scholars, and (c) the politics of trans-national exchange of nonacademic institutions. The article subsequently examines and illustrates each of these mechanisms.

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

None, None

The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third modemore » of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS&E Education; Meshing and Adaptivity; Multiscale and Multiphysics Problems; Numerical Algorithms for CS&E; Discrete and Combinatorial Algorithms for CS&E; Inverse Problems; Optimal Design, Optimal Control, and Inverse Problems; Parallel and Distributed Computing; Problem-Solving Environments; Software and Wddleware Systems; Uncertainty Estimation and Sensitivity Analysis; and Visualization and Computer Graphics.« less

Learning to argue as a biotechnologist: disprivileging opposition to genetically modified food

NASA Astrophysics Data System (ADS)

Solli, Anne; Bach, Frank; Åkerman, Björn

2014-03-01

In the public discussion of genetically modified (GM) food the representations of science as a social good, conducted in the public interest to solve major problems are being subjected to intense scrutiny and questioning. Scientists working in these areas have been seen to struggle for the position of science in society. However few in situ studies of how the debate about science appears in learning situations at the university level have been undertaken. In the present study an introductory course in biotechnology was observed during one semester, lectures and small group supervision concerning GM food were videotaped and student's reports on the issue were collected. The ethnographic approach to Discourse analysis was conducted by means of a set of carefully selected and representative observations of how a group of students learn to argue and appropriate views held in the Discourse they are enculturated into. While socio-scientific issues (SSIs) are often associated with achieving scientific literacy in terms of "informed decisions" involving "rational thought and Discourse" this study shows that SSI in practice, in the context studied here, is primarily concerned with using scientific language to privilege professional understandings of GMOs and discredit public worries and concerns. Scientific claims were privileged over ethical, economical and political claims which were either made irrelevant or rebutted. The students were seen to appropriate a Discourse model held in the biotechnological community that public opposition towards GMO is due to "insufficient knowledge". The present study offers insights into biotechnology students' decision making regarding socio-scientific issues, while also demonstrating the utility of Discourse analysis for understanding learning in this university context. Implications for reflection on the institutional Discourse of science and teaching of controversial issues in science are drawn and the study contributes to the investigation of claims of scientific literacy coupled to SSIs and argumentation

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…

Network Analysis of Beliefs About the Scientific Enterprise: A comparison of scientists, middle school science teachers and eighth-grade science students

NASA Astrophysics Data System (ADS)

Peters-Burton, Erin; Baynard, Liz R.

2013-11-01

An understanding of the scientific enterprise is useful because citizens need to make systematic, rational decisions about projects involving scientific endeavors and technology, and a clearer understanding of scientific epistemology is beneficial because it could encourage more public engagement with science. The purpose of this study was to capture beliefs for three groups, scientists, secondary science teachers, and eighth-grade science students, about the ways scientific knowledge is generated and validated. Open-ended questions were framed by formal scientific epistemology and dimensions of epistemology recognized in the field of educational psychology. The resulting statements were placed in a card sort and mapped in a network analysis to communicate interconnections among ideas. Maps analyzed with multidimensional scaling revealed robust connections among students and scientists but not among teachers. Student and teacher maps illustrated the strongest connections among ideas about experiments while scientist maps present more descriptive and well-rounded ideas about the scientific enterprise. The students' map was robust in terms of numbers of ideas, but were lacking in a hierarchical organization of ideas. The teachers' map displayed an alignment with the learning standards of the state, but not a broader view of science. The scientists map displayed a hierarchy of ideas with elaboration of equally valued statements connected to several foundational statements. Network analysis can be helpful in forwarding the study of views of the nature of science because of the technique's ability to capture verbatim statements from participants and to display the strength of connections among the statements.

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.

Effect of an Experiential and Work-Based Learning Program on Vocational Identity, Career Decision Self-Efficacy, and Career Maturity

ERIC Educational Resources Information Center

Esters, Levon T.; Retallick, Michael S.

2013-01-01

This exploratory study examined the effect of an agriculturally-based experiential and work-based learning program, Science With Practice (SWP), on the vocational identity, career decision self-efficacy, and career maturity of undergraduate agriculture and life sciences students. The SWP experience helped clarify students' career interests and…

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…

Translational Environmental Research: Improving the Usefulness and Usability of Research Results

NASA Astrophysics Data System (ADS)

Garfin, G.

2008-12-01

In recent years, requests for proposals more frequently emphasize outreach to stakeholder communities, decision support, and science that serves societal needs. Reports from the National Academy of Sciences and Western States Water Council emphasize the need for science translation and outreach, in order to address societal concerns with climate extremes, such as drought, the use of climate predictions, and the growing challenges of climate change. In the 1990s, the NOAA Climate Program Office developed its Regional Integrated Sciences and Asssessments program to help bridge the gap between climate science (notably, seasonal predictions) and society, to improve the flow of information to stakeholders, and to increase the relevance of climate science to inform decisions. During the same time period, the National Science Foundation initiated multi-year Science and Technology Centers and Decision Making Under Uncertainty Centers, with similar goals, but different metrics of success. Moreover, the combination of population growth, climate change, and environmental degradation has prompted numerous research initiatives on linking knowledge and action for sustainable development. This presentation reviews various models and methodologies for translating science results from field, lab, or modeling work to use by society. Lessons and approaches from cooperative extension, boundary organizations, co-production of science and policy, and medical translational research are examined. In particular, multi-step translation as practiced within the health care community is examined. For example, so- called "T1" (translation 1) research moves insights from basic science to clinical research; T2 research evaluates the effectiveness of clinical practice, who benefits from promising care regimens, and develops tools for clinicians, patients, and policy makers. T3 activities test the implementation, delivery, and spread of research results and clinical practices in order to foster policy changes and improve general health. Parallels in environmental sciences might be TER1 (translational environmental research 1), basic insights regarding environmental processes and relationships between environmental changes and their causes. TER2, applied environmental research, development of best practices, and development of decision support tools. TER3, might include usability and impact evaluation, effective outreach and implementation of best practices, and application of research insights to public policy and institutional change. According to the medical literature, and in anecdotal evidence from end-to-end environmental science, decision-maker and public involvement in these various forms of engaged research decreases the lag between scientific discovery and implementation of discoveries in operational practices, information tools, and organizational and public policies.

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

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...

Using science-policy integration to improve ecosystem science and inform decision-making: Lessons from U.S. LTERs

USGS Publications Warehouse

Templer, Pamela H.; Lambert, Kathleen Fallon; Weiss, Marissa; Baron, Jill S.; Driscoll, Charles T.; Foster, David R.

2016-01-01

This Special Session took place on 12 August 2015 at the 100th Meeting of the Ecological Society of America in Baltimore, Maryland, and was conceived of and coordinated by the Science Policy Exchange. The Science Policy Exchange (SPE) is a boundary- spanning organization established to work at the interface of science and policy to confront pressing environmental challenges . SPE was created as a collaborative of six research institutions to increase the impact of science on environmental decisions. This session was organized by Marissa Weiss and co- organized by Pamela Templer, Kathleen Fallon Lambert, Jill Baron, Charles Driscoll, and David Foster. Along the theme of ESA ’ s Centennial meeting, the group of presenters represented collectively more than 100 years of experience in integration of science, policy, and outreach.

Use of handheld computers in clinical practice: a systematic review.

PubMed

Mickan, Sharon; Atherton, Helen; Roberts, Nia Wyn; Heneghan, Carl; Tilson, Julie K

2014-07-06

Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systematic review was designed to synthesise high quality evidence to answer the question; Does healthcare professionals' use of handheld computers improve their access to information and support clinical decision making at the point of care? A detailed search was conducted using Cochrane, MEDLINE, EMBASE, PsycINFO, Science and Social Science Citation Indices since 2001. Interventions promoting healthcare professionals seeking information or making clinical decisions using handheld computers were included. Classroom learning and the use of laptop computers were excluded. Two authors independently selected studies, assessed quality using the Cochrane Risk of Bias tool and extracted data. High levels of data heterogeneity negated statistical synthesis. Instead, evidence for effectiveness was summarised narratively, according to each study's aim for assessing the impact of handheld computer use. We included seven randomised trials investigating medical or nursing staffs' use of Personal Digital Assistants. Effectiveness was demonstrated across three distinct functions that emerged from the data: accessing information for clinical knowledge, adherence to guidelines and diagnostic decision making. When healthcare professionals used handheld computers to access clinical information, their knowledge improved significantly more than peers who used paper resources. When clinical guideline recommendations were presented on handheld computers, clinicians made significantly safer prescribing decisions and adhered more closely to recommendations than peers using paper resources. Finally, healthcare professionals made significantly more appropriate diagnostic decisions using clinical decision making tools on handheld computers compared to colleagues who did not have access to these tools. For these clinical decisions, the numbers need to test/screen were all less than 11. Healthcare professionals' use of handheld computers may improve their information seeking, adherence to guidelines and clinical decision making. Handheld computers can provide real time access to and analysis of clinical information. The integration of clinical decision support systems within handheld computers offers clinicians the highest level of synthesised evidence at the point of care. Future research is needed to replicate these early results and to identify beneficial clinical outcomes.

Use of handheld computers in clinical practice: a systematic review

PubMed Central

2014-01-01

Background Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systematic review was designed to synthesise high quality evidence to answer the question; Does healthcare professionals’ use of handheld computers improve their access to information and support clinical decision making at the point of care? Methods A detailed search was conducted using Cochrane, MEDLINE, EMBASE, PsycINFO, Science and Social Science Citation Indices since 2001. Interventions promoting healthcare professionals seeking information or making clinical decisions using handheld computers were included. Classroom learning and the use of laptop computers were excluded. Two authors independently selected studies, assessed quality using the Cochrane Risk of Bias tool and extracted data. High levels of data heterogeneity negated statistical synthesis. Instead, evidence for effectiveness was summarised narratively, according to each study’s aim for assessing the impact of handheld computer use. Results We included seven randomised trials investigating medical or nursing staffs’ use of Personal Digital Assistants. Effectiveness was demonstrated across three distinct functions that emerged from the data: accessing information for clinical knowledge, adherence to guidelines and diagnostic decision making. When healthcare professionals used handheld computers to access clinical information, their knowledge improved significantly more than peers who used paper resources. When clinical guideline recommendations were presented on handheld computers, clinicians made significantly safer prescribing decisions and adhered more closely to recommendations than peers using paper resources. Finally, healthcare professionals made significantly more appropriate diagnostic decisions using clinical decision making tools on handheld computers compared to colleagues who did not have access to these tools. For these clinical decisions, the numbers need to test/screen were all less than 11. Conclusion Healthcare professionals’ use of handheld computers may improve their information seeking, adherence to guidelines and clinical decision making. Handheld computers can provide real time access to and analysis of clinical information. The integration of clinical decision support systems within handheld computers offers clinicians the highest level of synthesised evidence at the point of care. Future research is needed to replicate these early results and to identify beneficial clinical outcomes. PMID:24998515

Earth Sciences Data and Information System (ESDIS) program planning and evaluation methodology development

NASA Technical Reports Server (NTRS)

Dickinson, William B.

1995-01-01

An Earth Sciences Data and Information System (ESDIS) Project Management Plan (PMP) is prepared. An ESDIS Project Systems Engineering Management Plan (SEMP) consistent with the developed PMP is also prepared. ESDIS and related EOS program requirements developments, management and analysis processes are evaluated. Opportunities to improve the effectiveness of these processes and program/project responsiveness to requirements are identified. Overall ESDIS cost estimation processes are evaluated, and recommendations to improve cost estimating and modeling techniques are developed. ESDIS schedules and scheduling tools are evaluated. Risk assessment, risk mitigation strategies and approaches, and use of risk information in management decision-making are addressed.

Advancing Global Health – The Need for (Better) Social Science

PubMed Central

Hanefeld, Johanna

2016-01-01

In his perspective "Navigating between stealth advocacy and unconscious dogmatism: the challenge of researching the norms, politics and power of global health," Ooms argues that actions taken in the field of global health are dependent not only on available resources, but on the normative premise that guides how these resources are spent. This comment sets out how the application of a predominately biomedical positivist research tradition in global health, has potentially limited understanding of the value judgements underlying decisions in the field. To redress this critical social science, including health policy analysis has much to offer, to the field of global health including on questions of governance. PMID:27239873

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…

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.

Climate Risk Informed Decision Analysis: A Hypothetical Application to the Waas Region

NASA Astrophysics Data System (ADS)

Gilroy, Kristin; Mens, Marjolein; Haasnoot, Marjolijn; Jeuken, Ad

2016-04-01

More frequent and intense hydrologic events under climate change are expected to enhance water security and flood risk management challenges worldwide. Traditional planning approaches must be adapted to address climate change and develop solutions with an appropriate level of robustness and flexibility. The Climate Risk Informed Decision Analysis (CRIDA) method is a novel planning approach embodying a suite of complementary methods, including decision scaling and adaptation pathways. Decision scaling offers a bottom-up approach to assess risk and tailors the complexity of the analysis to the problem at hand and the available capacity. Through adaptation pathway,s an array of future strategies towards climate robustness are developed, ranging in flexibility and immediacy of investments. Flexible pathways include transfer points to other strategies to ensure that the system can be adapted if future conditions vary from those expected. CRIDA combines these two approaches in a stakeholder driven process which guides decision makers through the planning and decision process, taking into account how the confidence in the available science, the consequences in the system, and the capacity of institutions should influence strategy selection. In this presentation, we will explain the CRIDA method and compare it to existing planning processes, such as the US Army Corps of Engineers Principles and Guidelines as well as Integrated Water Resources Management Planning. Then, we will apply the approach to a hypothetical case study for the Waas Region, a large downstream river basin facing rapid development threatened by increased flood risks. Through the case study, we will demonstrate how a stakeholder driven process can be used to evaluate system robustness to climate change; develop adaptation pathways for multiple objectives and criteria; and illustrate how varying levels of confidence, consequences, and capacity would play a role in the decision making process, specifically in regards to the level of robustness and flexibility in the selected strategy. This work will equip practitioners and decision makers with an example of a structured process for decision making under climate uncertainty that can be scaled as needed to the problem at hand. This presentation builds further on another submitted abstract "Climate Risk Informed Decision Analysis (CRIDA): A novel practical guidance for Climate Resilient Investments and Planning" by Jeuken et al.

The Figured Worlds of High School Science Teachers: Uncovering Three-Dimensional Assessment Decisions

NASA Astrophysics Data System (ADS)

Ewald, Megan

As a result of recent mandates of the Next Generation Science Standards, assessments are a "system of meaning" amidst a paradigm shift toward three-dimensional assessments. This study is motivated by two research questions: 1) how do high school science teachers describe their processes of decision-making in the development and use of three-dimensional assessments and 2) how do high school science teachers negotiate their identities as assessors in designing three-dimensional assessments. An important factor in teachers' assessment decision making is how they identify themselves as assessors. Therefore, this study investigated the teachers' roles as assessors through the Sociocultural Identity Theory. The most important contribution from this study is the emergent teacher assessment sub-identities: the modifier-recycler , the feeler-finder, and the creator. Using a qualitative phenomenological research design, focus groups, three-series interviews, think-alouds, and document analysis were utilized in this study. These qualitative methods were chosen to elicit rich conversations among teachers, make meaning of the teachers' experiences through in-depth interviews, amplify the thought processes of individual teachers while making assessment decisions, and analyze assessment documents in relation to teachers' perspectives. The findings from this study suggest that--of the 19 participants--only two teachers could consistently be identified as creators and aligned their assessment practices with NGSS. However, assessment sub-identities are not static and teachers may negotiate their identities from one moment to the next within socially constructed realms of interpretation known as figured worlds. Because teachers are positioned in less powerful figured worlds within the dominant discourse of standardization, this study raises awareness as to how the external pressures from more powerful figured worlds socially construct teachers' identities as assessors. For teachers to re-author their scripts as assessors and create three-dimensional assessments, they first need to be aware of their assessment identity. Furthermore, the findings provide support for teachers to advocate for the development and use of assessments that measure students' three-dimensional learning rather than relying on assessments that are easily "counted."

U.S. Geological Survey science strategy for highly pathogenic avian influenza in wildlife and the environment (2016–2020)

USGS Publications Warehouse

Harris, M. Camille; Pearce, John M.; Prosser, Diann J.; White, C. LeAnn; Miles, A. Keith; Sleeman, Jonathan M.; Brand, Christopher J.; Cronin, James P.; De La Cruz, Susan; Densmore, Christine L.; Doyle, Thomas W.; Dusek, Robert J.; Fleskes, Joseph P.; Flint, Paul L.; Guala, Gerald F.; Hall, Jeffrey S.; Hubbard, Laura E.; Hunt, Randall J.; Ip, Hon S.; Katz, Rachel A.; Laurent, Kevin W.; Miller, Mark P.; Munn, Mark D.; Ramey, Andy M.; Richards, Kevin D.; Russell, Robin E.; Stokdyk, Joel P.; Takekawa, John Y.; Walsh, Daniel P.

2016-08-18

IntroductionThrough the Science Strategy for Highly Pathogenic Avian Influenza (HPAI) in Wildlife and the Environment, the USGS will assess avian influenza (AI) dynamics in an ecological context to inform decisions made by resource managers and policymakers from the local to national level. Through collection of unbiased scientific information on the ecology of AI viruses and wildlife hosts in a changing world, the U.S. Geological Survey (USGS) will enhance the development of AI forecasting tools and ensure this information is integrated with a quality decision process for managing HPAI.The overall goal of this USGS Science Strategy for HPAI in Wildlife and the Environment goes beyond document­ing the occurrence and distribution of AI viruses in wild birds. The USGS aims to understand the epidemiological processes and environmental factors that influence HPAI distribution and describe the mechanisms of transmission between wild birds and poultry. USGS scientists developed a conceptual model describing the process linking HPAI dispersal in wild waterfowl to the outbreaks in poul­try. This strategy focuses on five long-term science goals, which include:Science Goal 1—Augment the National HPAI Surveillance Plan;Science Goal 2—Determine mechanisms of HPAI disease spread in wildlife and the environment;Science Goal 3—Characterize HPAI viruses circulating in wildlife;Science Goal 4—Understand implications of avian ecol­ogy on HPAI spread; andScience Goal 5—Develop HPAI forecasting and decision-making tools.These goals will help define and describe the processes outlined in the conceptual model with the ultimate goal of facilitating biosecurity and minimizing transfer of diseases across the wildlife-poultry interface. The first four science goals are focused on scientific discovery and the fifth goal is application-based. Decision analyses in the fifth goal will guide prioritization of proposed actions in the first four goals.

An Intelligent Polar Cyberinfrastrucuture to Support Spatiotemporal Decision Making

NASA Astrophysics Data System (ADS)

Song, M.; Li, W.; Zhou, X.

2014-12-01

In the era of big data, polar sciences have already faced an urgent demand of utilizing intelligent approaches to support precise and effective spatiotemporal decision-making. Service-oriented cyberinfrastructure has advantages of seamlessly integrating distributed computing resources, and aggregating a variety of geospatial data derived from Earth observation network. This paper focuses on building a smart service-oriented cyberinfrastructure to support intelligent question answering related to polar datasets. The innovation of this polar cyberinfrastructure includes: (1) a problem-solving environment that parses geospatial question in natural language, builds geoprocessing rules, composites atomic processing services and executes the entire workflow; (2) a self-adaptive spatiotemporal filter that is capable of refining query constraints through semantic analysis; (3) a dynamic visualization strategy to support results animation and statistics in multiple spatial reference systems; and (4) a user-friendly online portal to support collaborative decision-making. By means of this polar cyberinfrastructure, we intend to facilitate integration of distributed and heterogeneous Arctic datasets and comprehensive analysis of multiple environmental elements (e.g. snow, ice, permafrost) to provide a better understanding of the environmental variation in circumpolar regions.

Is chess the drosophila of artificial intelligence? A social history of an algorithm.

PubMed

Ensmenger, Nathan

2012-02-01

Since the mid 1960s, researchers in computer science have famously referred to chess as the 'drosophila' of artificial intelligence (AI). What they seem to mean by this is that chess, like the common fruit fly, is an accessible, familiar, and relatively simple experimental technology that nonetheless can be used productively to produce valid knowledge about other, more complex systems. But for historians of science and technology, the analogy between chess and drosophila assumes a larger significance. As Robert Kohler has ably described, the decision to adopt drosophila as the organism of choice for genetics research had far-reaching implications for the development of 20th century biology. In a similar manner, the decision to focus on chess as the measure of both human and computer intelligence had important and unintended consequences for AL research. This paper explores the emergence of chess as an experimental technology, its significance in the developing research practices of the AI community, and the unique ways in which the decision to focus on chess shaped the program of AI research in the decade of the 1970s. More broadly, it attempts to open up the virtual black box of computer software--and of computer games in particular--to the scrutiny of historical and sociological analysis.

Air Quality Response Modeling for Decision Support | Science ...

EPA Pesticide Factsheets

Air quality management relies on photochemical models to predict the responses of pollutant concentrations to changes in emissions. Such modeling is especially important for secondary pollutants such as ozone and fine particulate matter which vary nonlinearly with changes in emissions. Numerous techniques for probing pollutant-emission relationships within photochemical models have been developed and deployed for a variety of decision support applications. However, atmospheric response modeling remains complicated by the challenge of validating sensitivity results against observable data. This manuscript reviews the state of the science of atmospheric response modeling as well as efforts to characterize the accuracy and uncertainty of sensitivity results. The National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA′s mission to protect human health and the environment. AMAD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being use

Assessing Teachers' Comprehension of What Matters in Earth Science

NASA Astrophysics Data System (ADS)

Penuel, W. R.; Kreikemeier, P.; Venezky, D.; Blank, J. G.; Davatzes, A.; Davatzes, N.

2006-12-01

Curricular standards developed for individual U.S. States tell teachers what they should teach. Most sets of standards are too numerous to be taught in a single year, forcing teachers to make decisions about what to emphasize in their curriculum. Ideally, such decisions would be based on what matters most in Earth science, namely, the big ideas that anchor scientific inquiry in the field. A measure of teachers' ability to associate curriculum standards with fundamental concepts in Earth science would help K-12 program and curriculum developers to bridge gaps in teachers' knowledge in order to help teachers make better decisions about what is most important to teach and communicate big ideas to students. This paper presents preliminary results of an attempt to create and validate a measure of teachers' comprehension of what matters in three sub-disciplines of Earth science. This measure was created as part of an experimental study of teacher professional development in Earth science. It is a task that requires teachers to take their state's curriculum standards and identify which standards are necessary or supplemental to developing students' understanding of fundamental concepts in the target sub-disciplines. To develop the task, a team of assessment experts and educational researchers asked a panel of four Earth scientists to identify key concepts embedded within middle school standards for the state of Florida. The Earth science panel reached a consensus on which standards needed to be taught in order to develop understanding of those concepts; this was used as a basis for comparison with teacher responses. Preliminary analysis of the responses of 44 teachers who participated in a pilot validation study identified differences between teachers' and scientists' maps of standards to big ideas in the sub-disciplines. On average, teachers identified just under one-third of the connections seen by expert Earth scientists between the concepts and their state standards. Teachers with higher levels of agreement also had a higher percentage of standards identified that were "off-grade," meaning that they saw connections to standards that they were not themselves required to teach but that nonetheless were relevant to developing student understanding of a particular concept. This result is consistent with the premise that to make good decisions about what to teach, teachers need to be able to identify relevant standards from other grade levels that are connected to the big ideas of a discipline (Shulman, 1986, Educ. Res. 15:4-14).

Women's decision to major in STEM fields

NASA Astrophysics Data System (ADS)

Conklin, Stephanie

This paper explores the lived experiences of high school female students who choose to enter into STEM fields, and describes the influencing factors which steered these women towards majors in computer science, engineering and biology. Utilizing phenomenological methodology, this study seeks to understand the essence of women's decisions to enter into STEM fields and further describe how the decision-making process varies for women in high female enrollment fields, like biology, as compared with low enrollment fields like, computer science and engineering. Using Bloom's 3-Stage Theory, this study analyzes how relationships, experiences and barriers influenced women towards, and possibly away, from STEM fields. An analysis of women's experiences highlight that support of family, sustained experience in a STEM program during high school as well as the presence of an influential teacher were all salient factors in steering women towards STEM fields. Participants explained that influential teacher worked individually with them, modified and extended assignments and also steered participants towards coursework and experiences. This study also identifies factors, like guidance counselors as well as personal challenges, which inhibited participant's path to STEM fields. Further, through analyzing all six participants' experiences, it is clear that a linear model, like Bloom's 3-Stage Model, with limited ability to include potential barriers inhibited the ability to capture the essence of each participant's decision-making process. Therefore, a revised model with no linear progression which allows for emerging factors, like personal challenges, has been proposed; this model focuses on how interest in STEM fields begins to develop and is honed and then mastered. This study also sought to identify key differences in the paths of female students pursuing different majors. The findings of this study suggest that the path to computer science and engineering is limited. Computer science majors faced few, if any, challenges, hoped to use computers as a tool to innovate and also participated in the same computer science program. For female engineering students, the essence of their experience focused on interaction at a young age with an expert in an engineering-related field as well as a strong desire to help solve world problems using engineering. These participants were able to articulate clearly future careers. In contrast, biology majors, faced more challenges and were undecided about their future career goals. These results suggest that a longitudinal study focused on women pursuing engineering and computer science fields is warranted; this will hopefully allow these findings to be substantiated and also for refinement of the revised theoretical model.

Advice and Frequently Asked Questions (FAQs) for Citizen-Science Environmental Health Assessments

PubMed Central

Barzyk, Timothy M.; Huang, Hongtai; Williams, Ronald; Kaufman, Amanda; Essoka, Jonathan

2018-01-01

Citizen science provides quantitative results to support environmental health assessments (EHAs), but standardized approaches do not currently exist to translate findings into actionable solutions. The emergence of low-cost portable sensor technologies and proliferation of publicly available datasets provides unparalleled access to supporting evidence; yet data collection, analysis, interpretation, visualization, and communication are subjective approaches that must be tailored to a decision-making audience capable of improving environmental health. A decade of collaborative efforts and two citizen science projects contributed to three lessons learned and a set of frequently asked questions (FAQs) that address the complexities of environmental health and interpersonal relations often encountered in citizen science EHAs. Each project followed a structured step-by-step process in order to compare and contrast methods and approaches. These lessons and FAQs provide advice to translate citizen science research into actionable solutions in the context of a diverse range of environmental health issues and local stakeholders. PMID:29751612

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.

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,…

Doing Better: Illuminating a Framework of Equitable Science Pedagogy through a Cross- Case Analysis of Urban High School Science Teachers

NASA Astrophysics Data System (ADS)

Sheth, Manali J.

Students of color are routinely asked to participate in science education that is less intellectually rich and self-affirming. Additionally, teachers have trouble embarking on professional growth related to issues of equity and diversity in science. The purpose of this dissertation research is to develop a multi-dimensional framework for equitable science pedagogy (ESP) through analyzing the efforts and struggles of high school science teachers. This study is grounded in a conceptual framework derived from scholarship in science education, multicultural education, critical science studies, and teacher learning. The following questions guide this research: 1) What visions and enactments emerge in teachers' practices towards equitable science pedagogy? 2) How are teachers' practice decisions towards ESP influenced by their personal theories of race/culture, science, and learning and sociocultural contexts? 3) Why are there consistencies and variances across teachers' practices? This study employs a qualitative multiple case study design with ethnographic data collection to explore the practices of three urban high school science teachers who were identified as being committed to nurturing the science learning of students of color. Data include over 120 hours of classroom observation, 60 hours of teacher interviews, and 500 teacher- and student-generated artifacts. Data analysis included coding teachers' practices using theory- and participant generated codes, construction of themes based on emergent patterns, and cross-case analysis. The affordances and limitations of the participants' pedagogical approaches inform the following framework for equitable science pedagogy: 1) Seeing race and culture and sharing responsibility for learning form foundational dimensions. Practices from the other three dimensions--- nurturing students' identities, re-centering students' epistemologies, and critiquing structural inequities---emerge from the foundation. As emergent practices, they are constituted by but not reduced to practices in the initial dimensions. 2) Ideas from the foundational dimensions are filtered through teachers' stances on science. Thus, teachers' practices in the emergent dimensions and the foundational dimensions are mediated by teachers' pedagogical ideas about science and school science. 3) Teachers' articulations of practice influence the possibility of on-going work towards equitable science pedagogy.

76 FR 57023 - Science Advisory Board

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-15

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... forth the schedule and proposed agenda of a forthcoming meeting of the NOAA Science Advisory Board. The... date. SUPPLEMENTARY INFORMATION: The Science Advisory Board (SAB) was established by a Decision...

[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.

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

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.

SCIENCE, SCIENTISTS, AND POLICY ADVOCACY

EPA Science Inventory

To effectively resolve many current ecological policy issues, decision-makers require an array of scientific information. Sometimes scientific information is summarized for decision-makers by policy analysts or others, but often it comes directly from scientists to decision-maker...

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...

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…

Assessing the influence of Environmental Impact Assessments on science and policy: an analysis of the Three Gorges Project.

PubMed

Tullos, Desiree

2009-07-01

The need to understand and minimize negative environmental outcomes associated with large dams has both contributed to and benefited from the introduction and subsequent improvements in the Environmental Impact Assessment (EIA) process. However, several limitations in the EIA process remain, including those associated with the uncertainty and significance of impact projections. These limitations are directly related to the feedback between science and policy, with information gaps in scientific understanding discovered through the EIA process contributing valuable recommendations on critical focus areas for prioritizing and funding research within the fields of ecological conservation and river engineering. This paper presents an analysis of the EIA process for the Three Gorges Project (TGP) in China as a case study for evaluating this feedback between the EIA and science and policy. For one of the best-studied public development projects in the world, this paper presents an investigation into whether patterns exist between the scientific interest (via number of publications) in environmental impacts and (a) the identification of impacts as uncertain or priority by the EIA, (b) decisions or political events associated with the dam, and (c) impact type. This analysis includes the compilation of literature on TGP, characterization of ecosystem interactions and responses to TGP through a hierarchy of impacts, coding of EIA impacts as "uncertain" impacts that require additional study and "priority" impacts that have particularly high significance, mapping of an event chronology to relate policies, institutional changes, and decisions about TGP as "events" that could influence the focus and intensity of scientific investigation, and analysis of the number of publications by impact type and order within the impact hierarchy. From these analyses, it appears that the availability and consistency of scientific information limit the accuracy of environmental impact projections. These analyses also suggest a lack of direct feedback between the EIA process and emerging science, as indicated by the failure of literature to focus on issues related to the design and management of TGP, ultimately challenging the environmental sustainability of the project. While the EIA process has enormous potential for improving both the basic sciences and the planning and sustainability of hydrodevelopment, important institutional changes need to occur for this potential to be realized. This paper concludes with recommendations about those institutional changes needed to improve the feedback between the science and policy, and ultimately the environmental sustainability, of large dams.

The Inferential Structure of Actionable Science in Climatological and Hydrological Co-Productions

NASA Astrophysics Data System (ADS)

Brumble, K. C.

2016-12-01

Across the geophysical sciences, and in hydrology in particular, there is a growing emphasis on and desire to produce "actionable science" and "user-inspired" science. Fueled by the need to make research approachable, intelligible, and useful for decision-makers, policy-makers, and across disciplinary boundaries, actionable science endeavors seek to replace the traditional downward flow of information model for knowledge in the sciences. Instead the focus is on more dynamical knowledge flow between the local and contingent and the vast and complex. New methodologies which allow for the co-production of knowledge between modelers, model users, and decision-makers will be surveyed for the structure of knowledge flow present, and for innovations in communicating and handling uncertainties across traditional disciplinary boundaries. Current and possible future methods for handling sources of uncertainty and cascades of uncertainty will be addressed. Examples will be drawn from recent projects involving the interactions between climate modeling groups, hydrological modelers, and decision makers at the local and regional level in water security to try and identify key methodologies for the co-production of actionable knowledge exportable to other applications in the boundary between systems impacted by climate change.

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

Accounting for susceptibility in risk assessment: The need for full disclosure.

PubMed

Fowle Iii, J R

1997-12-01

Many Environmental Laws create the unrealistic expectation that science can be used to determine `safety'. The many uncertainties surrounding environmental risks, as well as individual, group and societal differences about what is considered `safe', make it inevitable that policy decisions must be made. It is appropriate that such decisions be shaped by politics and social issues, as well as be informed by science and economics, but care should be taken to distinguish between policy and fact. Not much is known about the nature and magnitude of environmental susceptibilities. Credible environmental decisions require that scientists, risk assessors and decision-makers acknowledge this, and that they take care to distinguish policy calls from scientific fact.

Emotions and Decisions: Beyond Conceptual Vagueness and the Rationality Muddle.

PubMed

Volz, Kirsten G; Hertwig, Ralph

2016-01-01

For centuries, decision scholars paid little attention to emotions: Decisions were modeled in normative and descriptive frameworks with little regard for affective processes. Recently, however, an "emotions revolution" has taken place, particularly in the neuroscientific study of decision making, putting emotional processes on an equal footing with cognitive ones. Yet disappointingly little theoretical progress has been made. The concepts and processes discussed often remain vague, and conclusions about the implications of emotions for rationality are contradictory and muddled. We discuss three complementary ways to move the neuroscientific study of emotion and decision making from agenda setting to theory building. The first is to use reverse inference as a hypothesis-discovery rather than a hypothesis-testing tool, unless its utility can be systematically quantified (e.g., through meta-analysis). The second is to capitalize on the conceptual inventory advanced by the behavioral science of emotions, testing those concepts and unveiling the underlying processes. The third is to model the interplay between emotions and decisions, harnessing existing cognitive frameworks of decision making and mapping emotions onto the postulated computational processes. To conclude, emotions (like cognitive strategies) are not rational or irrational per se: How (un)reasonable their influence is depends on their fit with the environment. © The Author(s) 2015.

IEEE 1982. Proceedings of the international conference on cybernetics and society

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

Not Available

1982-01-01

The following topics were dealt with: knowledge-based systems; risk analysis; man-machine interactions; human information processing; metaphor, analogy and problem-solving; manual control modelling; transportation systems; simulation; adaptive and learning systems; biocybernetics; cybernetics; mathematical programming; robotics; decision support systems; analysis, design and validation of models; computer vision; systems science; energy systems; environmental modelling and policy; pattern recognition; nuclear warfare; technological forecasting; artificial intelligence; the Turin shroud; optimisation; workloads. Abstracts of individual papers can be found under the relevant classification codes in this or future issues.

Integrating Pavement Crack Detection and Analysis Using Autonomous Unmanned Aerial Vehicle Imagery

DTIC Science & Technology

2015-03-27

Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of the Requirements for the Degree of...Master of Science in Engineering and Environmental Management Patrick J. Grandsaert, BS Captain, USAF March 2015 DISTRIBUTION STATEMENT A...reliable data is necessary to make informed decisions on how to best manage aging road assets. This research explores a new method to automate the

Discovering Factors that Influence the Decision to Pursue a Chemistry-Related Career: A Comparative Analysis of the Experiences of Non Scientist Adults and Chemistry Teachers in Greece

ERIC Educational Resources Information Center

Salta, Katerina; Gekos, Michael; Petsimeri, Irene; Koulougliotis, Dionysios

2012-01-01

This study aims at identifying factors that influence students' choice not to pursue a chemistry-related career by analyzing the experiences of secondary education chemistry teachers in Greece and of Greek adults who have not pursued studies related to science. Data collection was done with the method of individual structured interviews. The…

Starting Small, Thinking Big - Continuum Magazine | NREL

Science.gov Websites

field of urban science by preparing cities with world-class decision support. -Written by Kevin Eber How generation of clean energy decision science. Photo of two long cabins with a view of one roof, which is solar power systems to the grid in the U.S. Virgin Islands have led to a significant growth in installed

Stuck in the Middle: Examining the Intersection of Middle School Science Teachers' PCK and Classroom Practice

ERIC Educational Resources Information Center

Allen, Jared R.

2017-01-01

The purpose of this study was to explain middle school teachers' decisions for planning a science unit of instruction (reflection on action) and their decisions when enacting this planned unit (reflection in action) using the new teacher professional knowledge and skill (TPK&S) model as a guiding framework. In addition, this study specifically…

Biomedical wellness challenges and opportunities

NASA Astrophysics Data System (ADS)

Tangney, John F.

2012-06-01

The mission of ONR's Human and Bioengineered Systems Division is to direct, plan, foster, and encourage Science and Technology in cognitive science, computational neuroscience, bioscience and bio-mimetic technology, social/organizational science, training, human factors, and decision making as related to future Naval needs. This paper highlights current programs that contribute to future biomedical wellness needs in context of humanitarian assistance and disaster relief. ONR supports fundamental research and related technology demonstrations in several related areas, including biometrics and human activity recognition; cognitive sciences; computational neurosciences and bio-robotics; human factors, organizational design and decision research; social, cultural and behavioral modeling; and training, education and human performance. In context of a possible future with automated casualty evacuation, elements of current science and technology programs are illustrated.

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.

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...

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.

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.

77 FR 476 - Science Advisory Board

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-05

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... forth the schedule and proposed agenda of a forthcoming meeting of the NOAA Science Advisory Board. The... INFORMATION: The Science Advisory Board (SAB) was established by a Decision Memorandum dated September 25...

Gaming science innovations to integrate health systems science into medical education and practice

PubMed Central

White, Earla J; Lewis, Joy H; McCoy, Lise

2018-01-01

Health systems science (HSS) is an emerging discipline addressing multiple, complex, interdependent variables that affect providers’ abilities to deliver patient care and influence population health. New perspectives and innovations are required as physician leaders and medical educators strive to accelerate changes in medical education and practice to meet the needs of evolving populations and systems. The purpose of this paper is to introduce gaming science as a lens to magnify HSS integration opportunities in the scope of medical education and practice. Evidence supports gaming science innovations as effective teaching and learning tools to promote learner engagement in scientific and systems thinking for decision making in complex scenarios. Valuable insights and lessons gained through the history of war games have resulted in strategic thinking to minimize risk and save lives. In health care, where decisions can affect patient and population outcomes, gaming science innovations have the potential to provide safe learning environments to practice crucial decision-making skills. Research of gaming science limitations, gaps, and strategies to maximize innovations to further advance HSS in medical education and practice is required. Gaming science holds promise to equip health care teams with HSS knowledge and skills required for transformative practice. The ultimate goals are to empower providers to work in complex systems to improve patient and population health outcomes and experiences, and to reduce costs and improve care team well-being.

Gaming science innovations to integrate health systems science into medical education and practice.

PubMed

White, Earla J; Lewis, Joy H; McCoy, Lise

2018-01-01

Health systems science (HSS) is an emerging discipline addressing multiple, complex, interdependent variables that affect providers' abilities to deliver patient care and influence population health. New perspectives and innovations are required as physician leaders and medical educators strive to accelerate changes in medical education and practice to meet the needs of evolving populations and systems. The purpose of this paper is to introduce gaming science as a lens to magnify HSS integration opportunities in the scope of medical education and practice. Evidence supports gaming science innovations as effective teaching and learning tools to promote learner engagement in scientific and systems thinking for decision making in complex scenarios. Valuable insights and lessons gained through the history of war games have resulted in strategic thinking to minimize risk and save lives. In health care, where decisions can affect patient and population outcomes, gaming science innovations have the potential to provide safe learning environments to practice crucial decision-making skills. Research of gaming science limitations, gaps, and strategies to maximize innovations to further advance HSS in medical education and practice is required. Gaming science holds promise to equip health care teams with HSS knowledge and skills required for transformative practice. The ultimate goals are to empower providers to work in complex systems to improve patient and population health outcomes and experiences, and to reduce costs and improve care team well-being.

Knowledge to Action - Understanding Natural Hazards-Induced Power Outage Scenarios for Actionable Disaster Responses

NASA Astrophysics Data System (ADS)

Kar, B.; Robinson, C.; Koch, D. B.; Omitaomu, O.

2017-12-01

The Sendai Framework for Disaster Risk Reduction 2015-2030 identified the following four priorities to prevent and reduce disaster risks: i) understanding disaster risk; ii) strengthening governance to manage disaster risk; iii) investing in disaster risk reduction for resilience and; iv) enhancing disaster preparedness for effective response, and to "Build Back Better" in recovery, rehabilitation and reconstruction. While forecasting and decision making tools are in place to predict and understand future impacts of natural hazards, the knowledge to action approach that currently exists fails to provide updated information needed by decision makers to undertake response and recovery efforts following a hazard event. For instance, during a tropical storm event advisories are released every two to three hours, but manual analysis of geospatial data to determine potential impacts of the event tends to be time-consuming and a post-event process. Researchers at Oak Ridge National Laboratory have developed a Spatial Decision Support System that enables real-time analysis of storm impact based on updated advisory. A prototype of the tool that focuses on determining projected power outage areas and projected duration of outages demonstrates the feasibility of integrating science with decision making for emergency management personnel to act in real time to protect communities and reduce risk.

Enhancing students' critical thinking in science: A two-year design based exploration in a large undergraduate science course

NASA Astrophysics Data System (ADS)

Yoo, Suhyun

The purpose of this study was to explore how to enhance students' critical thinking in an introductory undergraduate science course. As a design experiment, this study aimed to design, develop, implement, and refine learning activities, and investigate how the learning activities worked in fostering students' critical thinking in a large size classroom context. In this study, critical thinking in science was framed with six categories, 1) identifying decisions, 2) evaluating decisions, 3) providing own decision, 4) argument and justification for own decision, 5) presenting supporting data/evidence, and 6) integrating other perspectives, as the result of literature review. To enhance critical thinking, three design principles, 1) authentic task, 2) question prompts, and 3) peer interaction, were associated with the learning activities for two consecutive years. The research context was within a large general science course and the learning activities for a module were designed, implemented and refined for two years. Specially, changes in design strategies were made in the two design principles, question prompts and peer interaction, after the 1st implementation. With regard to the use of question prompts, the students of the 2nd year were provided with procedural and elaborative question prompts, while those of the 1st year only received procedural question prompts embedded in the Group and Community Discussion Charts. Second, instead of being engaged six times in two types of discussions, group and community discussions, the students of the 2nd year were required to take part in a community discussion twice and to prepare for the discussion by learning about and understanding important aspects of dealing with the hurricane situation. For individual preparation, elaborative question prompts were embedded in the Individual Worksheet. Quantitative and qualitative research methods were taken to investigate how the two different designs of the 1st and 2nd years worked for enhancing critical thinking in a large-size classroom. Data came from the students' written documents during and after the learning activities. The result from the descriptive and comparative analysis on the written documents for two years indicated that there were changes in patterns of reasoning between the two years. It was evident that the groups engaged in decision-making for communities of the 2nd year showed more concrete and shaped reasoning than those of the 1st year. The result of the t-test indicated that there was a significant difference in critical thinking demonstrated in individual reports between the students of the 1st and the 2nd years. The students of the 2nd year demonstrated better levels of critical thinking than those of the 1st year. Specially, among the six categories of critical thinking, the students of the 2nd year demonstrated better levels in three categories, 1) providing one's own decision, 2) argumentation and justification for one's own decision, and 3) integrating other perspectives, than those of the 1st year. By the multiple-case study method, four themes were found to explain what made students demonstrated higher levels of critical thinking: 1) understanding of one's assigned role, 2) linking roles to make decisions, 3) answers to the question prompts, and 4) use of data and source, were raised in explaining the different pattern between the students with higher and lower levels of critical thinking. Also, a trend was visible across artifacts for higher performing students in both years.

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.

Next-generation Strategies for Human Lunar Sorties

NASA Technical Reports Server (NTRS)

Cohen, B. A.

2013-01-01

The science community has had success in remote field experiences using two distinctly different models for humans-in-the-loop: the Apollo Science Support team (science backroom), and the robotic exploration of Mars. In the Apollo experience, the science team helped train the crew, designed geologic traverses, and made real-time decisions by reviewing audio and video transmissions and providing recommendations for geologic sampling. In contrast, the Mars Exploration Rover (MER) and Mars Science Lab (MSL) missions have been conducted entirely robotically, with significant time delays between science- driven decisions and remote field activities. Distinctive operations methods and field methodologies were developed for MER/MSL [1,2] because of the reliance on the "backroom" science team (rather than astronaut crew members) to understand the surroundings. Additionally, data are relayed to the team once per day, giving the team many hours or even days to assimilate the data and decide on a plan of action.

A forensic science perspective on the role of images in crime investigation and reconstruction.

PubMed

Milliet, Quentin; Delémont, Olivier; Margot, Pierre

2014-12-01

This article presents a global vision of images in forensic science. The proliferation of perspectives on the use of images throughout criminal investigations and the increasing demand for research on this topic seem to demand a forensic science-based analysis. In this study, the definitions of and concepts related to material traces are revisited and applied to images, and a structured approach is used to persuade the scientific community to extend and improve the use of images as traces in criminal investigations. Current research efforts focus on technical issues and evidence assessment. This article provides a sound foundation for rationalising and explaining the processes involved in the production of clues from trace images. For example, the mechanisms through which these visual traces become clues of presence or action are described. An extensive literature review of forensic image analysis emphasises the existing guidelines and knowledge available for answering investigative questions (who, what, where, when and how). However, complementary developments are still necessary to demystify many aspects of image analysis in forensic science, including how to review and select images or use them to reconstruct an event or assist intelligence efforts. The hypothetico-deductive reasoning pathway used to discover unknown elements of an event or crime can also help scientists understand the underlying processes involved in their decision making. An analysis of a single image in an investigative or probative context is used to demonstrate the highly informative potential of images as traces and/or clues. Research efforts should be directed toward formalising the extraction and combination of clues from images. An appropriate methodology is key to expanding the use of images in forensic science. Copyright © 2014 Forensic Science Society. Published by Elsevier Ireland Ltd. All rights reserved.

Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria.

PubMed

Wonodi, C B; Privor-Dumm, L; Aina, M; Pate, A M; Reis, R; Gadhoke, P; Levine, O S

2012-05-01

The decision-making process to introduce new vaccines into national immunization programmes is often complex, involving many stakeholders who provide technical information, mobilize finance, implement programmes and garner political support. Stakeholders may have different levels of interest, knowledge and motivations to introduce new vaccines. Lack of consensus on the priority, public health value or feasibility of adding a new vaccine can delay policy decisions. Efforts to support country-level decision-making have largely focused on establishing global policies and equipping policy makers with the information to support decision-making on new vaccine introduction (NVI). Less attention has been given to understanding the interactions of policy actors and how the distribution of influence affects the policy process and decision-making. Social network analysis (SNA) is a social science technique concerned with explaining social phenomena using the structural and relational features of the network of actors involved. This approach can be used to identify how information is exchanged and who is included or excluded from the process. For this SNA of vaccine decision-making in Nigeria, we interviewed federal and state-level government officials, officers of bilateral and multilateral partner organizations, and other stakeholders such as health providers and the media. Using data culled from those interviews, we performed an SNA in order to map formal and informal relationships and the distribution of influence among vaccine decision-makers, as well as to explore linkages and pathways to stakeholders who can influence critical decisions in the policy process. Our findings indicate a relatively robust engagement of key stakeholders in Nigeria. We hypothesized that economic stakeholders and implementers would be important to ensure sustainable financing and strengthen programme implementation, but some economic and implementation stakeholders did not appear centrally on the map; this may suggest a need to strengthen the decision-making processes by engaging these stakeholders more centrally and earlier.

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.

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.

A Case History of the Science and Management Collaboration in Understanding Hypoxia Events in Long Bay, South Carolina, USA

NASA Astrophysics Data System (ADS)

Sanger, Denise; Hernandez, Debra; Libes, Susan; Voulgaris, George; Davis, Braxton; Smith, Erik; Shuford, Rebecca; Porter, Dwayne; Koepfler, Eric; Bennett, Joseph

2010-09-01

Communication of knowledge between the scientific and management communities is a difficult process complicated by the distinctive nature of professional career goals of scientists and decision-makers. This article provides a case history highlighting a collaboration between the science and management communities that resulted from a response to a 2004 hypoxia, or low dissolved oxygen, event in Long Bay, off Myrtle Beach, South Carolina. A working group of scientists and decision-makers was established at the time of the event and has continued to interact to develop a firm understanding of the drivers responsible for hypoxia formation in Long Bay. Several factors were found to be important to ensure that these collaborative efforts were productive: (1) genuine interest in collaboratively working across disciplines to examine a problem; (2) commitment by agency leadership, decision-makers, and researchers to create successful communication mechanisms; (3) respect for each others’ perspectives and an understanding how science and management are performed and that they are not mutually exclusive; (4) networking among researchers and decision-makers to ensure appropriate team members are involved in the process; (5) use of decision-maker input in the formulation of research and monitoring projects; and (6) commitment of resources for facilitation to ensure that researchers and decision-makers are communicating effectively.

A decision framework for identifying models to estimate forest ecosystem services gains from restoration

USGS Publications Warehouse

Christin, Zachary; Bagstad, Kenneth J.; Verdone, Michael

2016-01-01

Restoring degraded forests and agricultural lands has become a global conservation priority. A growing number of tools can quantify ecosystem service tradeoffs associated with forest restoration. This evolving “tools landscape” presents a dilemma: more tools are available, but selecting appropriate tools has become more challenging. We present a Restoration Ecosystem Service Tool Selector (RESTS) framework that describes key characteristics of 13 ecosystem service assessment tools. Analysts enter information about their decision context, services to be analyzed, and desired outputs. Tools are filtered and presented based on five evaluative criteria: scalability, cost, time requirements, handling of uncertainty, and applicability to benefit-cost analysis. RESTS uses a spreadsheet interface but a web-based interface is planned. Given the rapid evolution of ecosystem services science, RESTS provides an adaptable framework to guide forest restoration decision makers toward tools that can help quantify ecosystem services in support of restoration.