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(2,812)
- News (445)
- Research (2,156)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,374)
Show Results For
-
All HBS Web
(2,812)
- News (445)
- Research (2,156)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,374)
- 01 Mar 2013
- Working Paper Summaries
Hurry Up and Wait: Differential Impacts of Congestion, Bottleneck Pressure, and Predictability on Patient Length of Stay
- 2020
- Conference Presentation
A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity
By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019.
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- 2013
- Article
Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap
By: Federica Durante, S. T. Fiske, Nicolas Kervyn and Amy J.C. Cuddy
Income inequality undermines societies: the more inequality, the more health problems, social tensions, and the lower social mobility, trust, and life expectancy. Given people's tendency to legitimate existing social arrangements, the Stereotype Content Model (SCM)...
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Keywords:
Stereotypes;
Cross-cultural/cross-border;
Inequality;
Prejudice and Bias;
Equality and Inequality;
Income;
Cross-Cultural and Cross-Border Issues;
Power and Influence
Durante, Federica, S. T. Fiske, Nicolas Kervyn, and Amy J.C. Cuddy. "Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap." British Journal of Social Psychology 52, no. 4 (December 2013): 726–746.
- 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...
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
- Article
Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise
Keywords:
Cognition and Thinking
Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.
- 2013
- Working Paper
Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs
By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical...
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Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
- 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.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- 2013
- Working Paper
Appendix to 'Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity'
By: Carolin E. Pflueger and Luis M. Viceira
Pflueger, Carolin E., and Luis M. Viceira. "Appendix to 'Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity'." Working Paper, September 2013.
- fall 1999
- Article
(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth
By: S.T. Fiske, J. Xu, A.J.C. Cuddy and P. Glick
Fiske, S.T., J. Xu, A.J.C. Cuddy, and P. Glick. "(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth." Journal of Social Issues 55, no. 3 (fall 1999): 473–490.
- 1998
- Book
Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future
By: H. H. Stevenson and Jeffrey L. Cruikshank
Keywords:
Personal Development and Career
Stevenson, H. H., and Jeffrey L. Cruikshank. Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future. Boston: Harvard Business School Press, 1998.
- 01 Jun 2023
- News
3-Minute Briefing: Jeremy Grantham (MBA 1966)
Edited by Julia Hanna; photo by Webb Chappell When I was 16, I took my savings to the bank and bought some shares of a neighbor’s scaffolding company. Before coming to HBS, I sold them to my mother, who had also acquired some, and we felt pleased about saving the...
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- 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.