Publications
Publications
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- May 2025
- Case
IQanat: Empowering Rural Youth in Kazakhstan
By: Boris Groysberg and Maxim Pike Harrell
In June 2025, IQanat CEO Aliya Salikova considered scaling opportunities for the foundation, which provided educational opportunities for children from rural regions of Kazakhstan. Established by Kazakhstani businessman and philanthropist Aidyn Rakhimbayev, IQanat... View Details
- April 2025
- Article
The Impact of Minority Representation at Mortgage Lenders
By: W. Scott Frame, Ruidi Huang, Erica Jiang, Yeonjoon Lee, Will Liu, Erik J. Mayer and Adi Sunderam
We study links between the labor market for loan officers and access to mortgage credit. Using novel data matching the (near) universe of mortgage applications to loan officers, we find that minorities are significantly underrepresented among loan officers. Minority... View Details
- March 2025
- Article
Differentiating on Diversity: How Disclosing Workforce Diversity Influences Consumer Choice
By: Maya Balakrishnan, Jimin Nam and Ryan W. Buell
Companies are facing increased pressure to “walk the talk” on diversity, equity, and inclusion (DEI) in their operations. One specific call-to-action from stakeholders is the public disclosure of EEO-1s. Companies with 100+ employees are federally mandated to annually... View Details
- 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; Equality and Inequality; Consumer Products Industry; Retail Industry; Health Industry; United States; Chicago; Boston; Atlanta; North Carolina; District of Columbia
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 2024
- Conference Paper
Fair Machine Unlearning: Data Removal while Mitigating Disparities
By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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