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Show Results For
- All HBS Web
(6,737)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
- 01 Jun 2012
- News
Pitfalls, Trade-Offs, Dreaming Big
WASSERMAN: Shining the light of data on entrepreneurial ventures in order to chart the terrain founders will face when they set out to pursue their dreams. Watch Professor Wasserman explain key insights from... View Details
- 25 Aug 2022
- News
Up on the Corner
racial disparities in wealth and income. And because homeownership is one of the principal ways in which families build wealth, housing, race, and economic inequality are all... View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
Zhongming Jiang
Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details
- April 2001
- Article
Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration
By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer
We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration... View Details
Amabile, T. M., C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh, and S. Kramer. "Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration." Academy of Management Journal 44, no. 2 (April 2001): 418–431.
- 30 Jan 2012
- Research & Ideas
Measuring the Efficacy of the World’s Managers
experience. Next Steps With the initial data tracked and scored, the researchers are now working with the US Census Bureau to build an even larger set of management data. Last... View Details
Keywords: by Carmen Nobel
- Web
2024 Reunion Presentations - Alumni
structure, and are more vulnerable to swings in commodity markets and government policies. Set in December 2023, the case finds TPG considering the future for Monolith, a Rise... View Details
- 21 Nov 2015
- News
Machines Beat Humans at Hiring Best Employees
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- 2022
- Working Paper
Small Campaign Donors
By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
- Person Page
Press / Media
By: Karim R. Lakhani
Can America Invent Its Way Back?
BusinessWeek, by Michael Mandel, 12 Sept. 2008
Today, researchers are focusing on ways to make those... View Details
- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- February 1994
- Background Note
Causal Inference
Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data. View Details
Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
- 05 Feb 2021
- News
Why Is It So Hard to Become a Data-Driven Company?
- 22 Aug 2012
- Working Paper Summaries
A Randomized Field Study of a Leadership WalkRounds™-Based Intervention
WalkRounds -based programs and performance has not been rigorously examined in a set of randomly selected hospitals. Objective: To fill this research gap, we conducted a randomized field study of a... View Details
- September 2015 (Revised February 2023)
- Case
Emdeon's Acquisition of Change Healthcare: Innovating Transparency Solutions for Health Care Consumers
By: Regina E. Herzlinger, Jeet Guram and Aanchal Raj
Case describes acquisition of Change Healthcare, which provides health care cost and quality information, by Emdeon, a health information exchange, and discusses health care transparency. Emdeon is a billion-dollar company that has grown through acquisitions; at its... View Details
- 01 Dec 2018
- News
Case Study: Your Data, Your Health
Ridhi Tariyal (MBA 2009) was in her early 30s when she grew curious about her chances of having children one day. “I didn’t want to wake up and learn that my opportunity had passed,” says Tariyal, then a genomics researcher with a... View Details
Keywords: Jen McFarland Flint
- Web
Harvard Business School
even greater responsibility as an executive committee member for the Atlanta office. Adams later held senior executive roles at First Data Corporation, where he oversaw 11,000 employees in the United States, the United Kingdom, View Details