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Show Results For
- All HBS Web
(1,917)
- News (295)
- Research (1,280)
- Events (24)
- Multimedia (10)
- Faculty Publications (763)
- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This... View Details
Keywords: by Kristen Senz
- Web
Business Economics Online Course | HBS Online
hrs/week Apply by March 17 $2,650 Credential Business Analytics Professor Janice Hammond Unlock actionable insights by mastering data analysis techniques to solve real-world business challenges View Details
- 16 Mar 2020
- Research & Ideas
How the Coronavirus Is Already Rewriting the Future of Business
when. With facial recognition and infrared cameras, there can be time series data collected from your temperature and probably what was in the breaths you exhaled, captured... View Details
Keywords: by Dina Gerdeman
- 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).
- Web
Privacy Policy & Legal Info | HBS Online
your request in our Support Portal . This Privacy Notice (“Notice”) explains the data privacy practices of Harvard Business School Online (“HBS Online”, "we”, “us”, or “our”) in connection with your use of online.hbs.edu or any other... View Details
- 17 Oct 2018
- Research & Ideas
Pro Basketball Coaches Display Racial Bias When Selecting Lineups
points, assists, fouls, and minutes played. And because players frequently change teams, it’s easy to compare how a player fares when playing for different coaches. For a paper Zhang published on the topic... View Details
- 21 Apr 2015
- First Look
First Look: April 21
society as a whole. Publisher's link: http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118646983.html April 2015 Management Science Private Equity and Industry Performance By: Bernstein, Shai, Josh... View Details
Keywords: Carmen Nobel & Sean Silverthorne
- 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.
- Forthcoming
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science (forthcoming). (Pre-published online May 7, 2024.)
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 01 Feb 2002
- News
It's academic. (Not!)
business administration (DBA) in accounting and control, marketing, policy and management, or technology and operations management. Another option is a joint program with... View Details
- Web
Strategy Execution Online Course | HBS Online
* Source: 2022 surveys and course data All FAQs Strategy Execution FAQs Could you tell me a little more about the AI Course Assistant chat bot? + – You can think of the beta version of the Strategy Execution... View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- February 2011
- Supplement
Dataset for "MercadoLibre.com" (CW)
By: Francisco de Asis Martinez-Jerez
Datasets of listings and powersellers transactions to perform analysis for the case. View Details
- Web
Electricity - Business & Environment
clean, resilient, and consumer-centric through the application of data science and behavioral economics, optimizing the system assets View Details
- Web
Faculty - Race, Gender & Equity
management and leadership in the school's MBA and Executive Education programs. He... Janice H. Hammond Jesse Philips Professor of Manufacturing Janice H. Hammond is the Jesse Philips Professor of... View Details
- 12 Nov 2021
- News
Alumni Business Leaders on Confronting the Climate Change Challenge
question: The data and analysis in the latest IPCC report amplified the reality that climate change is widespread, rapidly intensifying, and attributable to human activity. It... View Details
- 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.)
- 04 Nov 2015
- What Do You Think?
Why Does Gender Diversity Improve Financial Performance?
included those that “women have greater analytical skills and coordinate activities with much (greater) ease than men while upholding company values and strategy” (Mathews... View Details
Keywords: by James Heskett
- 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.