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Show Results For
- All HBS Web
(603)
- People (1)
- News (92)
- Research (417)
- Events (6)
- Multimedia (1)
- Faculty Publications (224)
- 05 Dec 2023
- Research & Ideas
Lessons in Decision-Making: Confident People Aren't Always Correct (Except When They Are)
of “first-order importance” for understanding behavioral economics’ influence on social science. “Although behavioral economists have put great energies into studying how nudges, frames, familiarity, and learning influence biases... View Details
Keywords: by Kara Baskin
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- June 2011
- Article
Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor
By: Christina Fong and Felix Oberholzer-Gee
It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we... View Details
Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
- 09 May 2012
- Research & Ideas
Clayton Christensen’s “How Will You Measure Your Life?”
such analysis shows that the marginal costs are lower, and marginal profits are higher, than the full cost. This doctrine biases companies to leverage what they have put in place to succeed in the past, instead of guiding them to create... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- 11 Sep 2017
- Research & Ideas
Why Employers Favor Men
findings may help employers train recruiters to be aware of their biases and work around them. The two faces of discrimination Gender discrimination clearly runs through the workplace. Women earn about 78 cents on the dollar compared to... View Details
Keywords: by Dina Gerdeman
- 10 Jul 2007
- Working Paper Summaries
The Persuasive Appeal of Stigma
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
generate content that perpetuates existing biases. When we train these models at scale based on existing data, if the underlying data included biased information, the result is also likely to include that bias unless we intervene. One... View Details
- 23 May 2023
- Research & Ideas
Face Value: Do Certain Physical Features Help People Get Ahead?
Empirically, they found that a thin jaw correlated negatively with CVP. Meanwhile, darker skin color has a positive correlation with celebrity visual potential, but mostly for white people. The results potentially mirror the deeply ingrained View Details
Keywords: by Kara Baskin
- 16 Nov 2010
- First Look
First Look: November 16, 2010
"truth in giving" policies are highly responsive to recipient heterogeneity and biased against more generous giving. Traveling Agents: Political Change and Bureaucratic Turnover in India Authors:Lakshmi Iyer and Anandi Mani... View Details
Keywords: Sean Silverthorne
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
incentives may motivate drivers to take a second look at automation features and tolerate their discomfort around driving in an “inferior” vehicle, the authors suggest. 3.Educate consumers—effectively. Educational videos about people’s View Details
- February 2018
- Article
Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience
By: Bradley R. Staats, Diwas S. KC and F. Gino
Many models in operations management involve dynamic decision making that assumes optimal updating in response to information revelation. However, behavioral theory suggests that rather than updating their beliefs, individuals may persevere in their prior beliefs. In... View Details
Keywords: Information; Announcements; Service Operations; Decision Making; Medical Specialties; Experience and Expertise; Medical Devices and Supplies Industry
Staats, Bradley R., Diwas S. KC, and F. Gino. "Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience." Management Science 64, no. 2 (February 2018): 804–824.
Shaking the Globe: Courageous Decision-Making in a Changing World
We live in a highly interdependent world where 95 percent of the world's consumers live outside the U.S. Two-thirds of the world's purchasing power is also outside the U.S. Shaking the Globe guides everyone on how to absorb the... View Details
- November 26, 2019
- Article
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Proceedings of the National Academy of Sciences 116, no. 48 (November 26, 2019).
- 2010
- Working Paper
Substitution Patterns of the Random Coefficients Logit
By: Thomas J. Steenburgh and Andrew Ainslie
Previous research suggests that the random coefficients logit is a highly flexible model that overcomes the problems of the homogeneous logit by allowing for differences in tastes across individuals. The purpose of this paper is to show that this is not true. We prove... View Details
Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
Veil-of-Ignorance Reasoning Favors the Greater Good
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
- 2019
- Working Paper
Veil-of-Ignorance Reasoning Favors the Greater Good
By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Working Paper, October 2019.
- Web
Finance - Faculty & Research
biased estimates. We propose an alternative procedure, using two-stage least squares. In settings without attrition, this approach obtains lower statistical power than self-reported yields; in settings with differential attrition, it may... View Details
- 28 Mar 2012
- Working Paper Summaries