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- March 2024
- Article
Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity
By: Mitchell Tang, Rebecca Mishuris, Lily Payvandi and Ariel Dora Stern
Importance: The COVID-19 pandemic was associated with substantial growth in patient portal messaging. Higher message volumes have largely persisted, reflecting a new normal. Prior work has documented lower message use by patients who belong to minoritized racial...
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Keywords:
Health Pandemics;
Technology Adoption;
Prejudice and Bias;
Equality and Inequality;
Communication Technology;
Race;
Ethnicity;
Health Industry
Tang, Mitchell, Rebecca Mishuris, Lily Payvandi, and Ariel Dora Stern. "Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity." JAMA Network Open 7, no. 3 (March 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...
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Keywords:
Representation;
Racial Disparity;
Health Testing and Trials;
Race;
Equality and Inequality;
Innovation and Invention;
Pharmaceutical Industry
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
- 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,...
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Keywords:
Large Language Model;
AI and Machine Learning;
Analytics and Data Science;
Health Industry
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...
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- 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...
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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...
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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...
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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...
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Keywords:
Discrimination;
Race;
Equality and Inequality;
Working Conditions;
Personal Development and Career;
Organizational Culture
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...
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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
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...
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Keywords:
Business and Government Relations;
Performance Effectiveness;
Equality and Inequality;
Private Sector;
Education Industry;
New York (city, NY)
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.
- 2022
- Working Paper
Credit and the Family: The Economic Consequences of Closing the Credit Gap of U.S. Couples
By: Olivia S. Kim
Closing disparities in credit access between spouses can help reduce consumption inequality in the household. The 2013 reversal of the Truth-in-Lending Act increased the borrowing capacity of secondary earners in equitable-distribution states but not in...
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Keywords:
Household;
Credit;
Equality and Inequality;
Income;
Policy;
Family and Family Relationships
Kim, Olivia S. "Credit and the Family: The Economic Consequences of Closing the Credit Gap of U.S. Couples." Working Paper, December 2022.
- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. 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...
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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
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- 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)...
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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
Spar, Debora L., and Julia Comeau. "Afrigen Biologics: Vaccines for the Global South." Harvard Business School Case 323-030, October 2022.
- August 29, 2022
- Other Article
Income Inequality Is Rising. Are We Even Measuring It Correctly?
By: Jon M. Jachimowicz, K. Blesch and Oliver P. Hauser
Income inequality is on the rise in many countries around the world, according to the United Nations. What’s more, disparities in global income were exacerbated by the COVID-19 pandemic, with some countries facing greater economic losses than others.
Policymakers...
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Keywords:
Income Inequality;
Gini Coefficient;
COVID-19 Pandemic;
Government Administration;
Equality and Inequality;
Health Pandemics;
Measurement and Metrics
Jachimowicz, Jon M., K. Blesch, and Oliver P. Hauser. "Income Inequality Is Rising. Are We Even Measuring It Correctly?" Harvard Business School Working Knowledge (August 29, 2022).
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- July 2022 (Revised January 2024)
- Case
Call of Fiduciary Duty: Microsoft Acquires Activision Blizzard
By: Jonas Heese, Joseph Pacelli and James Barnett
In January 2022, Microsoft announces its acquisition of the video game company Activision Blizzard, in a deal valued at $68.7 billion, which would make Microsoft the world’s third largest video game company. The deal came as Activision Blizzard faced gender pay...
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Keywords:
Accounting;
Goodwill Accounting;
Analysis;
Decision Making;
Talent and Talent Management;
Games, Gaming, and Gambling;
Ethics;
Leadership;
Risk and Uncertainty;
Mergers and Acquisitions;
Lawsuits and Litigation;
Entertainment and Recreation Industry;
Video Game Industry;
North America;
California
Heese, Jonas, Joseph Pacelli, and James Barnett. "Call of Fiduciary Duty: Microsoft Acquires Activision Blizzard." Harvard Business School Case 123-011, July 2022. (Revised January 2024.)
- July 2022
- Article
The Developmental Origins and Behavioral Consequences of Attributions for Inequality
By: Antonya Marie Gonzalez, Lucia Macchia and Ashley V. Whillans
Attributions, or lay explanations for inequality, have been linked to inequality-relevant behavior. In adults and children, attributing inequality to an individual rather than contextual or structural causes is linked to greater support for economic inequality and less...
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Gonzalez, Antonya Marie, Lucia Macchia, and Ashley V. Whillans. "The Developmental Origins and Behavioral Consequences of Attributions for Inequality." Art. 104329. Journal of Experimental Social Psychology 101 (July 2022).
- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show...
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Keywords:
Monetary Policy Transmission;
Inequity;
Credit Registry;
Wealth;
Collateral Channel;
Selection;
Racial Disparity;
Racial Inequality;
Equality and Inequality;
Banks and Banking;
Credit;
Governing Rules, Regulations, and Reforms;
Banking Industry;
United States
Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.
- Article
Creating High-Impact Coalitions: CEOs Can Lead the Charge on Society’s Biggest Problems
By: Rosabeth M. Kanter and Tuna Cem Hayirli
Traditionally, responses to crises and societal problems—the COVID-19 pandemic, natural disasters, racial inequities—are considered the responsibility of the public sector and NGOs. But addressing the world’s most critical problems requires leadership, resources, and...
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Keywords:
Coalition;
Change;
Problem Solving;
Organization;
Boundaries;
Evolution;
Mission;
Moral Leadership;
Balance;
"Solutions Approach;
Society;
Problems and Challenges;
Organizations;
Mission and Purpose;
Leading Change;
Trust
Kanter, Rosabeth M., and Tuna Cem Hayirli. "Creating High-Impact Coalitions: CEOs Can Lead the Charge on Society’s Biggest Problems." Harvard Business Review 100, no. 2 (March–April 2022).