Concepts in Decision Science
The Concepts in Decision Science series is focused on education, recognizing the need to understand principles and concepts from a wide range of disciplines relevant to decision science. Goals of this series include helping attendees build common language, share principles and and frameworks, and explore evaluation methods.
Foundational Concepts in How People Decide
Different Schools, Same Goal: Disciplines Underlying Decision Science
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An Introduction to Choice Architecture
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Emotional Valence and Decision Making
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The Good, The Bad, and The Ugly of Financial Incentives
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Financial versus Non-Financial Motivations
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Frameworks and Theories
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Frameworks: The Fogg Model
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Theories: Dual Process Theories
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Frameworks: The Elephant and the Rider
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Heuristics and Biases
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Optimism Bias
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Planning Fallacy
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Framing Effects
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Endowment Effect
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Intervening on Choices
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Intervention Architecture: An Introduction
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A Primer on Behavioral Economics Nudges
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Prominent Nudges
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Social Comparisons
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Active Choice
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Default Options
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How to Nudge, Not Noodge
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Interventions in the Context of Organizational Structure
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Other Topics
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Customer Journey Mapping
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Goal Pursuit
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Self-Regulation
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Evaluation Methods
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Difference-in-differences
Regression discontinuity
Instrumental variables
Marketing science & methods
Discrete choice experiments
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