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  • All HBS Web  (573)
    • News  (145)
    • Research  (212)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)

Show Results For

  • All HBS Web  (573)
    • News  (145)
    • Research  (212)
    • Events  (7)
    • Multimedia  (6)
  • Faculty Publications  (179)
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  • 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
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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).
  • 06 Aug 2019
  • Cold Call Podcast

Super Bowl Ads Sell Products, but Do They Sell Brands?

exciting. For the other 364 days a year, consumers go out of their way to avoid commercials. Kenny: The case gets into some data about how much brands are spending on advertising, generally speaking. I mean, what does that number look... View Details
Keywords: Advertising; Sports; Entertainment & Recreation; Media & Broadcasting
  • 16 Dec 2022
  • Research & Ideas

Why Technology Alone Can't Solve AI's Bias Problem

candidates and asked them to rank their top three choices. Some of these sets employed standard algorithms, which generally included only three women who ranked near the bottom of the list; others used fair-ranking algorithms, which... View Details
Keywords: by Michael Blanding; Technology
  • March–April 2023
  • Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
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Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
  • 07 May 2020
  • Research & Ideas

The One Good Thing Caused by COVID-19: Innovation

drastic changes in their interactions with consumers. In education, teachers from elementary schools to universities transformed content and delivered it online or through phones. Retailers started to license Amazon's Just Walk Out technology that combines computer... View Details
Keywords: by Hong Luo and Alberto Galasso
  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
  • 2023
  • Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
  • Winter 2021
  • Editorial

Introduction

By: Michael A. Wheeler
This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning
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Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
  • 22 Jul 2019
  • Book

How to Be a Digital Platform Leader

becomes, which lowers the likelihood of a winner-take-all outcome. Lastly, the truly successful firms in a platform world tend to have meaningful supply-side scale economies. Markets with large economies of scale generally have higher... View Details
Keywords: by Martha Lagace
  • 01 Mar 2018
  • What Do You Think?

Two Decades Later, is the 'New Economy' Finally Here?

potential for ecommerce growth in the country which relies (on) a lot of machine learning and AI the growth rate through the new economy prospects is just starting to take off here in Bangladesh.” Jacob Navon added, “Is the New Economy... View Details
Keywords: by James Heskett
  • 16 Jul 2024
  • Research & Ideas

Weighing Digital Tradeoffs in Private Equity

about their interest in digital opportunities as they weigh whether to sell. As generative AI and other new technologies emerge, that question may become increasingly relevant to success, the researchers... View Details
Keywords: by Michael Blanding; Financial Services
  • 15 Jan 2019
  • First Look

New Research and Ideas, January 15, 2019

Capital Management, had just finished listening to the hour-long earnings call for Twitter’s Q4 2017 results. Was Twitter doing well? That depended on which numbers she chose to believe. According to Generally Accepted Accounting... View Details
Keywords: Dina Gerdeman
  • 03 Jan 2017
  • First Look

January 3, 2017

broadly available. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52046 October 2016 Business History Review The Rise of Synthetic Colors in the American Food Industry, 1870–1940 By: Hisano, Ai Abstract—This article... View Details
Keywords: Carmen Nobel
  • 21 Oct 2024
  • Research & Ideas

What Happens in Vegas Could Shape the Metaverse

and machine learning—Wu says the metaverse and AI are inextricably linked. After all, generative AI could help build an expansive, intricately detailed virtual world, he says.... View Details
Keywords: by Scott Nover; Computer; Information Technology
  • 23 May 2017
  • First Look

First Look at New Ideas and Research: May 23, 2017

in press Journal of Experimental Psychology: General Pseudo-Set Framing By: Barasz, Kate, Leslie John, Elizabeth A. Keenan, and Michael I. Norton Abstract—Pseudo-set framing—arbitrarily grouping items or tasks together as part of an... View Details
Keywords: Carmen Nobel
  • 30 Jan 2018
  • First Look

January 30, 2018

developed economies and then turns to developing countries, covering the following topics: farmers' adoption of AI, how AI affects their decision to invest in risky assets, and the extent to which AI helps... View Details
Keywords: Sean Silverthorne
  • 05 Mar 2019
  • First Look

New Research and Ideas, March 5, 2019

expected to generate social value in addition to profit. As a result, they also increasingly face the distinct challenge of pursuing social and financial goals at the same time. Social enterprises have a great deal of experience dealing... View Details
Keywords: Dina Gerdeman
  • 18 Apr 2019
  • Research & Ideas

Open Innovation Contestants Build AI-Based Cancer Tool

oncologists. Among the study’s conclusions, “A combined crowd innovation and AI approach rapidly produced automated algorithms that replicated the skills of a highly trained physician for a critical task in radiation therapy.” In an email... View Details
Keywords: by Martha Lagace; Health; Medical Devices & Supplies
  • 06 Jun 2017
  • First Look

First Look at New Research and Ideas: June 6, 2017

highlight the pros and cons of each knowledge production model, help identify the scope of the empirical generalization of prior studies comparing the information quality of the two production models, and offer implications for... View Details
Keywords: Sean Silverthorne
  • 19 Mar 2019
  • First Look

New Research and Ideas, March 19, 2019

forthcoming Academy of Management Discoveries Creativity, Artificial Intelligence, and a World of Surprises By: Amabile, Teresa M. Abstract—In recent years, progress has been made toward AI Creativity, which I define as the production of... View Details
Keywords: Dina Gerdeman
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