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

An Introduction to Choice Architecture

Emotional Valence and Decision Making

The Good, The Bad, and The Ugly of Financial Incentives

Financial versus Non-Financial Motivations

Frameworks and Theories

Frameworks: The Fogg Model

Theories: Dual Process Theories

Frameworks:  The Elephant and the Rider

Heuristics and Biases

Optimism Bias

Planning Fallacy

Framing Effects

Endowment Effect

Intervening on Choices

Intervention Architecture: An Introduction

A Primer on Behavioral Economics Nudges

Prominent Nudges

  • Social Comparisons

  • Active Choice

  • Default Options

How to Nudge, Not Noodge

Interventions in the Context of Organizational Structure

Other Topics

Customer Journey Mapping

Goal Pursuit

Self-Regulation

Evaluation Methods

Difference-in-differences

 

Regression discontinuity

 

Instrumental variables

 

Marketing science & methods

 

Discrete choice experiments

General Questions or Comments?

 

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