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- All HBS Web
(2,886)
- News (476)
- Research (2,213)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,429)
Show Results For
- All HBS Web
(2,886)
- News (476)
- Research (2,213)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,429)
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- 2016
- Working Paper
Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field
By: Natalia Rigol and Benjamin N. Roth
Rigol, Natalia, and Benjamin N. Roth. "Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field." Working Paper, April 2016.
- Article
Valuing Time Over Money Predicts Happiness After a Major Life Transition: A Preregistered Longitudinal Study of Graduating Students
By: A.V. Whillans, Lucia Macchia and Elizabeth Dunn
How does prioritizing time or money shape major life decisions and subsequent well-being? In a preregistered longitudinal study of approximately 1000 graduating university students, respondents who valued time over money chose more intrinsically rewarding activities... View Details
Keywords: Time Use; Trade-offs; Career Decisions; Time Management; Money; Happiness; Values and Beliefs; Personal Development and Career
Whillans, A.V., Lucia Macchia, and Elizabeth Dunn. "Valuing Time Over Money Predicts Happiness After a Major Life Transition: A Preregistered Longitudinal Study of Graduating Students." Science Advances 5, no. 9 (September 2019).
- Article
Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, R. Slonim and Greg Barron
Erev, Ido, Alvin E. Roth, R. Slonim, and Greg Barron. "Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games." Special Issue on Behavioral Game Theory. Economic Theory 33, no. 1 (October 2007): 29–51.
- 2018
- Working Paper
Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization
By: J. Lees
- 2014
- Working Paper
Amount and Diversity of Emotional Expression on Facebook Predicts Life Satisfaction around the World
By: A. Kogan, F. Zhang, R. Sun, E. Simon-Thomas, P. Piff, S. Fan, J. Gruber, J. Quoidbach, M. I. Norton, C. Gronin, P. Fleming, D. Keltner and A.W. Brooks
Kogan, A., F. Zhang, R. Sun, E. Simon-Thomas, P. Piff, S. Fan, J. Gruber, J. Quoidbach, M. I. Norton, C. Gronin, P. Fleming, D. Keltner, and A.W. Brooks. "Amount and Diversity of Emotional Expression on Facebook Predicts Life Satisfaction around the World." Working Paper, 2014.
- 01 Jun 2023
- News
3-Minute Briefing: Jeremy Grantham (MBA 1966)
change, geopolitics, declining fertility rates, bad agricultural practices, high levels of debt, shortages of labor and raw materials, and more. You can’t predict the stress point, but the fact that something will crack is not... View Details
- September 1998
- Article
Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
By: Ido Erev and A. E. Roth
Erev, Ido, and A. E. Roth. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria." American Economic Review 88, no. 4 (September 1998): 848–881.
- 2006
- Working Paper
Learning and Equilibrium As Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, Robert L. Slonim and Greg Barron
- 2021
- Working Paper
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Working Paper, January 2021.
- 2019
- Working Paper
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
- July 2019
- Article
I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice
By: Kate Barasz, Tami Kim and Ioannis Evangelidis
People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen... View Details
Keywords: Self-other Difference; Social Perception; Inference-making; Preferences; Consumer Behavior; Prediction; Prediction Error; Decision Choices and Conditions; Perception; Behavior; Forecasting and Prediction
Barasz, Kate, Tami Kim, and Ioannis Evangelidis. "I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice." Special Issue on The Cognitive Science of Political Thought. Cognition 188 (July 2019): 85–97.
- 15 Jun 2004
- Conference Presentation
What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study
By: William B. Simpson, Frances J. Hayes, Andre B. Araujo and John B. McKinlay
Keywords: Measurement and Metrics; Health Testing and Trials; Age Characteristics; Gender Characteristics; Massachusetts
Simpson, William B., Frances J. Hayes, Andre B. Araujo, and John B. McKinlay. "What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study." Paper presented at the Enocrine Society Annual Meeting, New Orleans, LA, June 15, 2004.
- December 2013
- Article
Legislating Stock Prices
By: Lauren Cohen, Karl Diether and Christopher Malloy
We demonstrate that legislation has a simple, yet previously undetected impact on stock prices. Exploiting the voting record of legislators whose constituents are the affected industries, we show that the votes of these "interested" legislators capture important... View Details
Keywords: Legislator Incentives; Voting; Return Predictability; Lobbying; Motivation and Incentives; Government Legislation; Stocks
Cohen, Lauren, Karl Diether, and Christopher Malloy. "Legislating Stock Prices." Journal of Financial Economics 110, no. 3 (December 2013): 574–595. (Winner of Fama-DFA Prize for the Best Paper Published in the Journal of Financial Economics in Asset Pricing (Distinguished Paper) 2013.)
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.