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- All HBS Web (190)
- Faculty Publications (63)
Show Results For
- All HBS Web (190)
- Faculty Publications (63)
- 12 Feb 2019
- HBS Seminar
Gary Loveman, Harvard Business School
- March 2015 (Revised January 2020)
- Case
Behavioural Insights Team (A)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles...
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Keywords:
Behavioral Economics;
Experiments;
Choice Architecture;
Public Entrepreneurship;
Decision Choices and Conditions;
Consumer Behavior;
Taxation;
Economics;
Public Administration Industry;
United Kingdom
Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (A)." Harvard Business School Case 915-024, March 2015. (Revised January 2020.)
Katherine B. Coffman
Katherine Coffman is the Piramal Associate Professor of Business Administration in the Negotiations, Organizations & Markets unit. Before joining HBS, she was an assistant professor of economics at The Ohio State University and a visiting assistant professor of... View Details
- March 2016 (Revised January 2020)
- Teaching Note
Behavioural Insights Team (A) and (B)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles...
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- Research Summary
Consumer Behavior and Health
Professor Riis studies consumer behavior and health using the methods and theories of experimental psychology and behavioral economics. Particular problems that he is currently investigating include:
• Information use and decision making in food service... View Details
- March 2015 (Revised January 2020)
- Supplement
Behavioural Insights Team (B)
By: Michael Luca and Patrick Rooney
The Behavioural Insights Team case introduces students to the concept of choice architecture and the value of experimental methods (sometimes called A/B testing) within organizational contexts. The exercise provides an opportunity for students to apply these principles...
View Details
Keywords:
Behavioral Economics;
Experiments;
Choice Architecture;
Public Entrepreneurship;
United Kingdom
Luca, Michael, and Patrick Rooney. "Behavioural Insights Team (B)." Harvard Business School Supplement 915-025, March 2015. (Revised January 2020.)
- 09 Aug 2011
- First Look
First Look: August 9
experiment. The two experiments use the same methods and subject pool and examine games randomly selected from the same distribution. The current introductory paper presents the results of the estimation experiment and clarifies the...
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Keywords:
Sean Silverthorne
- Research Summary
Interpersonal Communication & Human-Computer Interaction
This stream of research, combining methods from experimental psychology and natural language processing, investigates behaviors that improve interpersonal communication. In our paper on question-asking published in Journal of Personality and Social Psychology,...
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- June 2013
- Article
Opting-in: Participation Bias in Economic Experiments
By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data...
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Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
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Keywords:
Machine Learning;
Black Box Explanations;
Decision Making;
Forecasting and Prediction;
Information Technology
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
- 23 Apr 2018
- Research & Ideas
Sponsorship Programs Could Actually Widen the Gender Gap
to her heart when she got pregnant in the 1980s,” Coffman says.) Since joining academia in the 1980s, Baldiga has studied issues related to advancement and retention in professional services firms. Coffman, meanwhile, is a behavioral economist who uses View Details
Keywords:
by Carmen Nobel
- January 2008
- Article
Nonemployment Stigma as Rational Herding: A Field Experiment
Long spells of unemployment are known to reduce the likelihood of re-employment, but it is difficult to discern the reasons for this observation. Using an experimental method that controls for search intensity and possible discouragement of job applicants, I document...
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Keywords:
Job Search;
Job Cuts and Outsourcing;
Employment;
Cognition and Thinking;
Perception;
Creativity;
Human Needs;
Job Interviews;
Selection and Staffing;
Recruitment;
Managerial Roles;
Judgments;
Employment Industry
Oberholzer-Gee, Felix. "Nonemployment Stigma as Rational Herding: A Field Experiment." Journal of Economic Behavior & Organization 65, no. 1 (January 2008): 30–40.
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 13 Apr 2012
- HBS Seminar
Drazen Prelec, Professor of Management Science and Economics at MIT Sloan School of Management
- July 2015
- Article
BYOB: How Bringing Your Own Shopping Bags Leads to Treating Yourself, and the Environment
By: Uma R. Karmarkar and Bryan Bollinger
As concerns about pollution and climate change have become more central in public discourse, shopping with reusable grocery bags has been strongly promoted as environmentally and socially conscious. In parallel, firms have joined policy makers in using a variety of...
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Keywords:
Grocery Shopping;
Reusable Bags;
Licensing;
Priming;
Goals;
Hedonic;
Marketing Strategy;
Consumer Behavior;
Environmental Sustainability;
Retail Industry
Karmarkar, Uma R., and Bryan Bollinger. "BYOB: How Bringing Your Own Shopping Bags Leads to Treating Yourself, and the Environment." Journal of Marketing 79, no. 4 (July 2015): 1–15.
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is...
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Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- Research Summary
Overview
Social psychologist Amy Cuddy, an associate professor at Harvard Business School, uses experimental methods to investigate how people judge each other and themselves. Her research suggests that judgments along two critical trait dimensions – warmth/trustworthiness and...
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- 08 Feb 2017
- HBS Seminar
Andrew Mao, Microsoft Research
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
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Keywords:
Black Box Explanations;
Bayesian Modeling;
Decision Making;
Risk and Uncertainty;
Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- Research Summary
Overview
Professor Brooks studies the psychology of conversation and emotion—topics at the intersection of how people think, feel, and interact. From pitching ideas to seeking advice, from asking questions to giving compliments, from talking about (or hiding) our feelings and...
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