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  • June 2020
  • Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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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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  • 19 Dec 2023
  • Research & Ideas

The 10 Most Popular Articles of 2023

life that includes rest, relationships, and a rewarding career. Is AI Coming for Your Job?In a post-AI world, where an algorithm can draft marketing copy—or even pop songs and movie scripts—anything seems... View Details
Keywords: by Danielle Kost
  • 19 Jan 2023
  • Research & Ideas

What Makes Employees Trust (vs. Second-Guess) AI?

industry now. AI improves human decision-making The research emerges as LISH joins the newly launched Digital, Data, and Design Institute at Harvard. The 12-lab organization launched last year to study six themes including View Details
Keywords: by Rachel Layne
  • 19 Feb 2019
  • First Look

New Research and Ideas, February 19, 2019

algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level meetings, while managers focus on one-to-one meetings with core functions. Firms with leader CEOs are on average more... View Details
Keywords: Sean Silverthorne
  • 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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  • 01 Dec 2023
  • News

Thinking Ahead

Lab at the Digital Data Design Institute at Harvard; his research develops tools for machine learning that mitigate bias and enhance privacy. Generative AI poses a greater risk to privacy by its nature, Neel explains. A traditional... View Details
Keywords: Julia Hanna; Illustrations by Chris Gash; News, Library, Internet, and Other Services; Information
  • Web

Entrepreneurship - Faculty & Research

Harvard Business School Working Paper, No. 25-053, April 2025. The Experimentation Machine: Finding Product–Market Fit in the Age of AI By: Jeffrey J. Bussgang 2025 | Book | Faculty Research Leverage AI to... View Details
  • 2021
  • Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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  • 10 Feb 2020
  • In Practice

6 Ways That Emerging Technology Is Disrupting Business Strategy

Economic Research. 3. Algorithms are changing the pricing game   “Firms are increasingly using pricing algorithms to set prices, especially in online markets. Pricing View Details
Keywords: by Danielle Kost
  • 07 Feb 2022
  • Research & Ideas

Digital Transformation: A New Roadmap for Success

companies. While they agreed that leaders urgently needed to expand their knowledge, they didn’t see eye to eye on what digital literacy means. A few argued that leaders should understand data analytics and AI deeply, and even learn to... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 22 Oct 2019
  • Research & Ideas

Use Artificial Intelligence to Set Sales Targets That Motivate

handle human tasks—allows companies to use multiple variables to compute the best targets for employees, often in real time. Many companies have started using machine-learning algorithms to construct AI... View Details
Keywords: by Michael Blanding
  • Web

2023 Reunion Presentations - Alumni

Artificial Intelligence and the Future of Work in the Post-Covid World Professor Joe Fuller (MBA 1981) + More Info – Less Info What is going on in labor market? How will generative AI and other technologies affect the future of work? How... View Details
  • Web

Profiles - MBA

world. Through the HUTIF program, I aspire to advance my vision of imagining reckless miracles and uncovering the countless opportunities it will bring.” Tech areas of interest: AI in Biology, Biotechnology, Brain-Computer Interface,... View Details
  • 03 Jan 2017
  • First Look

January 3, 2017

Winter 2017 MIT Sloan Management Review Why Big Data Isn't Enough By: Chai, Sen, and Willy C. Shih Abstract—There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any... View Details
Keywords: Carmen Nobel
  • Web

Health Care - Faculty & Research

Digital Articles (April 8, 2025). Niramai: An AI Solution to Save Lives By: Rembrand Koning , Maria P. Roche and Kairavi Dey March 2025 | Case | Faculty Research Founded in 2017, Niramai developed Thermalytix, a breast cancer screening... View Details
  • 16 Dec 2022
  • Research & Ideas

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

human toll to letting algorithms do the work. “Maybe there is a bias from people who have been traditionally hiring men.” Searches on popular recruiting sites might seem like a neutral way to find prospective candidates, but their... View Details
Keywords: by Michael Blanding; Technology
  • 01 Mar 2024
  • News

Vital Signs

day. An abbreviation of “demonstrating diagnostics,” DemDx is a software platform with embedded AI technology that guides health care providers through all the necessary questions in a patient examination to speed the patient onto the... View Details
Keywords: Jen McFarland Flint; Hospitals; Health, Social Assistance
  • 01 Jun 2024
  • News

Quantum Leap

will prove vastly superior to classical computers at complex, resource-intensive tasks like training AI systems, optimizing supply chains, or designing airplanes and automobiles. According to Kumar, many financial services firms are... View Details
Keywords: Alexander Gelfand; photographed by Chris Sorensen; quantum computing; innovation; leadership; Computer and Electronic Product Manufacturing; Manufacturing
  • 31 Jul 2023
  • News

Striving for Imperfection

interaction of multiple AI models also with people. This has been used to great effect to guessing sports outcomes, but also to doing cancer diagnosis. It turns out that a swarm of AI View Details
Keywords: Management of Companies and Enterprises; Management