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      • Faculty Publications  (92)

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      • April 2025
      • Article

      Skill Dependencies Uncover Nested Human Capital

      By: Moh Hosseinioun, Frank Neffke, Letian Zhang and Hyejin Youn
      Modern economies require increasingly diverse and specialized skills, many of which depend on the acquisition of other skills first. Here we analyse US survey data to reveal a nested structure within skill portfolios, where the direction of dependency is inferred... View Details
      Keywords: Competency and Skills; Human Capital; Personal Development and Career; Equality and Inequality; Analytics and Data Science
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      Hosseinioun, Moh, Frank Neffke, Letian Zhang, and Hyejin Youn. "Skill Dependencies Uncover Nested Human Capital." Nature Human Behaviour 9, no. 4 (April 2025): 673–687.
      • November 2024
      • Case

      Demond Martin and WellWithAll

      By: Hise Gibson, Archie L. Jones and Ai-Ling Jamila Malone
      This case study chronicles the transformative entrepreneurial path of Demond Martin, co-founder and CEO of WellWithAll, a health and wellness startup. Motivated by a pivotal life experience and deep concern for racial health inequities, Martin transitions from a... View Details
      Keywords: Customers; Diversity; Ethnicity; Race; Health; Recruitment; Leadership Style; Management Style; Brands and Branding; Marketing Strategy; Product Launch; Product Positioning; Organizational Culture; Mission and Purpose; Relationships; Trust; Business Strategy; Competitive Strategy; Competitive Advantage; Investment; Business Startups; Transition; Entrepreneurship; Consumer Products Industry; Retail Industry; Health Industry; United States; Chicago; Boston; Atlanta; North Carolina; District of Columbia
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      Gibson, Hise, Archie L. Jones, and Ai-Ling Jamila Malone. "Demond Martin and WellWithAll." Harvard Business School Case 625-041, November 2024.
      • 2025
      • Working Paper

      Global Evidence on Gender Gaps and Generative AI

      By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
      Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
      Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior
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      Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
      • October 2024
      • Article

      Racial Disparities in the Paycheck Protection Program

      By: Sergey Chernenko and David Scharfstein
      Using a large sample of Florida restaurants, we document significant racial disparities in borrowing through the Paycheck Protection Program (PPP) and investigate the causes of these disparities. Black-owned restaurants are 25% less likely to receive PPP loans.... View Details
      Keywords: Discrimination; Paycheck Protection Program; Economic Injury Disaster Loans; Bank Lending; Nonbank Lending; Banks and Banking; Financing and Loans; Prejudice and Bias; Race
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      Chernenko, Sergey, and David Scharfstein. "Racial Disparities in the Paycheck Protection Program." Art. 103911. Journal of Financial Economics 160 (October 2024).
      • September 2024
      • Case

      The Health Equity Accelerator at Boston Medical Center

      By: Susanna Gallani, Mary Witkowski and Katie Sonnefeldt
      This case describes how Boston Medical Center, a hospital and safety net organization, changed its strategic approach to health equity after realizing that previous efforts were not sufficient to address the health disparities among their patients. In 2021, the Health... View Details
      Keywords: Health Care and Treatment; Health Disorders; Innovation and Management; Innovation Leadership; Innovation Strategy; Adaptation; Business Strategy; Mission and Purpose; Decisions; Organizational Change and Adaptation; Organizational Structure; Diversity; Race; Ethnicity; Urban Scope; Local Range; Equality and Inequality; Health Industry; Boston
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      Gallani, Susanna, Mary Witkowski, and Katie Sonnefeldt. "The Health Equity Accelerator at Boston Medical Center." Harvard Business School Case 125-039, September 2024.
      • September 2024
      • Article

      Gender Gaps: Back and Here to Stay? Evidence from Skilled Ugandan Workers During COVID-19

      By: Livia Alfonsi, Mary Namubiru and Sara Spaziani
      We investigate gender disparities in the effect of COVID-19 on the labor market outcomes of skilled Ugandan workers. Leveraging a high-frequency panel dataset, we find that the lockdowns imposed in Uganda reduced employment by 69% for women and by 45% for men,... View Details
      Keywords: COVID-19; Wage Gap; Gender; Equality and Inequality; Employment; Wages; Uganda
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      Alfonsi, Livia, Mary Namubiru, and Sara Spaziani. "Gender Gaps: Back and Here to Stay? Evidence from Skilled Ugandan Workers During COVID-19." Review of Economics of the Household 22, no. 3 (September 2024): 999–1046.
      • 2024
      • Working Paper

      The New Digital Divide

      By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
      We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
      Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
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      Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
      • July 2024
      • Article

      Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings

      By: Jason B. Liu, Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia and Andrea L. Pusic
      This article describes the strategies that leaders at the Mass General Brigham (MGB) health system have used in launching a standardized patient-reported outcome measure (PROM) collection program in 2012, a major step in the value-based transformation of health care.... View Details
      Keywords: Patient-reported Outcomes; Value Based Health Care; Health Care and Treatment; Transformation; Outcome or Result; Organizational Change and Adaptation; Performance Improvement; Health Industry
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      Liu, Jason B., Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia, and Andrea L. Pusic. "Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings." NEJM Catalyst Innovations in Care Delivery 5, no. 7 (July 2024).
      • February 2024
      • Article

      Representation and Extrapolation: Evidence from Clinical Trials

      By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
      This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it... View Details
      Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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      Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
      • 2024
      • Conference Paper

      Fair Machine Unlearning: Data Removal while Mitigating Disparities

      By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
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      Lakkaraju, Himabindu, Flavio Calmon, Jiaqi Ma, and Alex Oesterling. "Fair Machine Unlearning: Data Removal while Mitigating Disparities." 2024.
      • 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).
      • June 2023
      • Teaching Note

      Agricultural Revolution without a Land Revolution: The Megafarms of CP Group

      By: William C. Kirby and Noah B. Truwit
      Teaching Note for HBS Case No. 316-150. The case introduces students to an innovative new agricultural venture on the outskirts of Beijing. It can be used as a platform to discuss broader issues of agricultural policy reform and regional disparities in social and... View Details
      Keywords: Agribusiness; Policy; Economic Growth; Agriculture and Agribusiness Industry; Thailand
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      Kirby, William C., and Noah B. Truwit. "Agricultural Revolution without a Land Revolution: The Megafarms of CP Group." Harvard Business School Teaching Note 323-121, June 2023.
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • 2023
      • Working Paper

      Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

      By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
      We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
      Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
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      Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
      • 2023
      • Working Paper

      Feature Importance Disparities for Data Bias Investigations

      By: Peter W. Chang, Leor Fishman and Seth Neel
      It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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      Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
      • April 2023
      • Article

      Racial Inequality in Work Environments

      By: Letian Zhang
      This article explores racial stratification in work environments. Inequality scholars have long identified racial disparities in wage and occupational attainment, but workers’ careers and well-being are also shaped by elements of their work environment, including firm... View Details
      Keywords: Discrimination; Race; Equality and Inequality; Working Conditions; Personal Development and Career; Organizational Culture
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      Zhang, Letian. "Racial Inequality in Work Environments." American Sociological Review 88, no. 2 (April 2023): 252–283.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • February 2023
      • Case

      Success Academy Charter Schools

      By: Robin Greenwood, Joshua D. Coval, Denise Han, Ruth Page and Dave Habeeb
      This stand-alone multimedia case follows the story of Eva Moskowitz and Success Academy, a network of high-performing charter schools in New York City. As a New York City councilor between 1999 and 2006, Moskowitz became frustrated over the inertia and dysfunction in... View Details
      Keywords: Business and Government Relations; Performance Effectiveness; Equality and Inequality; Private Sector; Education Industry; New York (city, NY)
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      Greenwood, Robin, Joshua D. Coval, Denise Han, Ruth Page, and Dave Habeeb. "Success Academy Charter Schools." Harvard Business School Multimedia/Video Case 222-707, February 2023.
      • December 2022 (Revised January 2025)
      • Case

      Akooda: Charging Toward Operational Intelligence

      By: Christopher Stanton and Mel Martin
      The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
      Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
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      Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
      • October 2022
      • Case

      Afrigen Biologics: Vaccines for the Global South

      By: Debora L. Spar and Julia Comeau
      The majority of vaccines used on the continent of Africa (99%) are produced offshore. This makes African nations reliant on the West for major health care needs, a problem which was exacerbated by the COVID-19 pandemic. Afrigen Biologics (in partnership with the WHO)... View Details
      Keywords: Vaccination; Vaccine; mRNA; COVID; COVID-19; Inequity; Hub-and-spoke; Health Care and Treatment; Health Pandemics; Production; Social Issues; Business and Government Relations; South Africa; Africa
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      Spar, Debora L., and Julia Comeau. "Afrigen Biologics: Vaccines for the Global South." Harvard Business School Case 323-030, October 2022.
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