Publications

26 Apr 2020
Other Presentation

Towards Modeling the Variability of Human Attention

By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber

Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details

Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning

Research Summary

The Learning As BehaviorS (LABS) Model

The Learning As BehaviorS (LABS) Model of Expertise Development integrates research from management, cognitive psychology, educational psychology and neuroscience to describe the process of how a novice achieves expertise. Defining expertise as the ability to... View Details

June 30, 2020
Article

Scaling Up Behavioral Science Interventions in Online Education

By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley

Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details

Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement

21 Feb 2019
Blog Post

Machine Learning and Behavioral Economics

This is a repost from the recruiting blog. For John Bracaglia, his academic and professional careers have been driven by two themes: “machine learning and behavioral economics,” he says. “The two work... View Details

2012
Dictionary Entry

Learning from Failure

By: Mark D. Cannon and Amy C. Edmondson

Failure is defined as an outcome that deviates from expected and desired results. Learning from failure describes processes and behaviors through which individuals, groups and organizations gain accurate and useful insights from failures and modify future behaviors,... View Details

Keywords: Learning From Failure; Failure; Learning; Behavior; Organizational Change and Adaptation

Teaching Interest

Organizational Behavior

Each of us maintains a set of beliefs and general assumptions about humans and their behavior, and those assumptions form the foundation for our beliefs about what motivates individuals; about how individuals make decisions; and about the ways in which the... View Details

Keywords: Organizational Behavior; Leadership; Motivation And Incentives; Decision-making; Culture

January 2021
Article

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details

Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning

December 1999
Article

Psychological Safety and Learning Behavior in Work Teams

By: A. Edmondson

Keywords: Learning; Behavior; Groups and Teams; Health

1998
Working Paper

Psychological Safety and Learning Behavior in Work Teams

By: Amy C. Edmondson

1997
Working Paper

Learning When It's Safe: A Group-level Investigation of Antecedents and Consequences of Learning Behavior

By: Amy C. Edmondson

2019
Article

An Empirical Study of Rich Subgroup Fairness for Machine Learning

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details

Keywords: Machine Learning; Fairness; AI and Machine Learning

February 2015 (Revised September 2016)
Teaching Note

Making stickK Stick: The Business of Behavioral Economics

By: Leslie K. John and Michael Norton

Email mking@hbs.edu for a courtesy copy.

This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details

Keywords: Behavioral Economics; Behavior Change; B2B Vs. B2C; Human Resource Management; Marketing Of Innovations; Health ＆ Wellness; Weight Loss; Charitable Giving; Marketing; Consumer Behavior; Entrepreneurship; Internet and the Web; Health; Business Model; Sales; Human Resources; Health Industry; United States

March 2022
Article

Learning to Rank an Assortment of Products

By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar

We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details

Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce

July 2022
Article

A Strategic View of Team Learning in Organizations

By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano

Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details

Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design

Program

Behavioral Economics—Virtual

program prepares you to influence the behavior of customers and employees—and become a bigger contributor to your organization's success. This program is eligible for the Certificate of Management Excellence. View Details

Article

From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning

By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson

Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details

Keywords: Emergent States; Goal Orientation; Open-mindedness; Psychological Safety; Team Learning; Teams; Groups and Teams; Learning; Goals and Objectives

August 2020
Article

Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation

By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal

The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details

Keywords: Machine Learning; Bias; Human Capital; Management; Strategy