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  • Web

Technology & Operations Management - Faculty & Research

successfully launched LumineticsCore—the first autonomous AI system authorized by the FDA to diagnose diabetic retinopathy without physician oversight. The case traces his journey across algorithm design,... View Details
  • Research Summary

Overview

By: Roberto Verganti
Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details
Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy
  • Web

Marketing - Faculty & Research

Marketing Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students Featured Publication Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the... View Details
  • 2024
  • Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
Keywords: AI and Machine Learning; Refugees; Employment
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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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  • Web

Accounting & Management - Faculty & Research

Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices.... View Details
  • 2023
  • Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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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
  • 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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  • 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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  • 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
  • 01 Dec 2023
  • News

Thinking Ahead

As we wind down 2023, there’s talk everywhere of generative AI and how it will fundamentally alter the world as we know it; but how does that translate for your corner of the business world? Is TikTok something you need to take seriously? (Is it time to dance?) We... View Details
Keywords: Julia Hanna; Illustrations by Chris Gash; News, Library, Internet, and Other Services; Information
  • 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
  • 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
  • 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
  • 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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  • Web

Research - Global

digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... 2025 Working Paper How Does Wage Inequality... View Details
  • Web

Finance - Faculty & Research

lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of individuals lacking a prior credit history. However,... View Details
  • Web

Health Care - Faculty & Research

LumineticsCore—the first autonomous AI system authorized by the FDA to diagnose diabetic retinopathy without physician oversight. The case traces his journey across algorithm design, clinical validation,... View Details