DECISION NEUROSCIENCE
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Description: This area includes content focused on how the brain and the extended nervous system make decisions and the presentation of neuroscientific techniques that explain various parameters associated with decision-making behavior.
DECISION SCIENCE EDUCATOR: COURSES, CASES & TEACHING
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Description: This area includes content that supports high quality student learning in Decision Science and related disciplines, and is designed for the sharing of teaching materials. This includes lecture notes, class summaries, outlines, supplementary materials (for your own or someone else's book), syllabi, problem sets, PowerPoint presentations, videos, and other teaching materials.
DECISION SCIENCE NEGATIVE RESULTS
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Description: This area includes content in which negative or non-statistically significant results were found. Negative results are instances in which the expected outcome of the research was not borne out by the results. The negative results area includes papers that have controversial or provocative results that challenge established theories as well as papers that replicate or support findings published elsewhere.
DECISION-MAKING & MANAGEMENT SCIENCE
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Description: This area includes content focused on business-relevant math and management topics addressing the analysis of decision-making processes in supply chain management, performance management, and risk management.
DECISION-MAKING IN COMPUTATIONAL DESIGN & TECHNOLOGY
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Description: This area includes content on the application of computational methods in the development of high-speed networks used to formulate and optimize decision-making.
DECISION-MAKING IN ECONOMICS
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Description: This area includes content focusing on defining and calculating the value of information and the economic interpretation of data in decision-making.
DECISION-MAKING IN ENGINEERING
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Description: This area includes content focused on decision-making in the field of engineering. Topics include engineering design, decision engineering, cognitive engineering, and knowledge-based engineering.
DECISION-MAKING IN OPERATIONS RESEARCH
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Description: This area includes content on the application of scientific and mathematical methodologies in the study and analysis of decision-making in operations research.
DECISION-MAKING IN PUBLIC POLICY & THE SOCIAL GOOD
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Description: This area includes content focused on decision-making pertaining to governmental legislation and regulation, non-governmental (NGO) solutions, and their combined impact on human welfare.
DECISION-MAKING MODELS & TOOLS
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Description: This area includes content focused on data visualization strategies and models used in decision science. Topics include decision trees, value trees, influence diagrams, probabilistic graphical models, grid analysis, and multi-criteria decision making methods.
HUMAN BEHAVIOR & GAME THEORY
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Description: This area includes content on the mathematical modeling of individual and group decision-making within the context of behavioral sciences. Topics include decision theory, rational and non-rational decision-making, game theory, crowd behavior, adaptation, and personality.
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DECISION SCIENCE RESEARCH NETWORK
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