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      • 2023
      • Working Paper

      PRIMO: Private Regression in Multiple Outcomes

      By: Seth Neel
      We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
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      Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
      • March 31, 2023
      • Article

      What Is the Optimal Pattern of a Customer Journey?

      By: Julian De Freitas
      Even though customer experience (CX) leaders are becoming increasingly focused on optimizing their firms’ customer journeys, they face a clear challenge: Which touchpoints along the journey should they invest in? That is, which moments when the customer interacts with... View Details
      Keywords: Consumer Behavior; Customers; Brands and Branding
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      De Freitas, Julian. "What Is the Optimal Pattern of a Customer Journey?" Harvard Business Review (website) (March 31, 2023).
      • March 2023
      • Case

      Between Two Minds: The Staglin Family

      By: Lauren Cohen, Ronnie Stangler and Grace Headinger
      Garen Staglin, Founder and Chairman of One Mind, reflected on his life’s work in brain health. As he contemplated stepping down in the next few years, he weighed how to pass along this legacy to his son, Brandon Staglin, the impetus behind and next generation of the... View Details
      Keywords: Nonprofit Organizations; Well-being; Management Succession; Family Ownership; Mission and Purpose; Health Industry
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      Cohen, Lauren, Ronnie Stangler, and Grace Headinger. "Between Two Minds: The Staglin Family." Harvard Business School Case 223-053, March 2023.
      • March 2023
      • Case

      Moderna

      By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen and Dave Habeeb
      This multimedia case follows the story of Moderna and its entry into vaccine development in the wake of the COVID-19 pandemic. In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19.... View Details
      Keywords: Health Pandemics; Research and Development; Digital Transformation; Health Testing and Trials; Biotechnology Industry; Pharmaceutical Industry
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      Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen, and Dave Habeeb. "Moderna." Harvard Business School Multimedia/Video Case 623-703, March 2023. (Click here to access this case.)
      • March 2023 (Revised June 2025)
      • Case

      Close Concerns: Diabetes Research and Advocacy

      By: Regina E. Herzlinger and Brian L. Walker
      Diagnosed with diabetes at the age of 18, Kelly Close understood the importance of balancing consistency and iteration. This principle had also informed her professional work, which started with a rapid promotion from financial analyst at Goldman Sachs to an analyst... View Details
      Keywords: Diabetes; Health; Health Care; Health Care And Treatment; Health Care Outcomes; Health Care Industry; Knowledge Dissemination; Outcome or Result; Equality and Inequality; Business Model; Entrepreneurship
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      Herzlinger, Regina E., and Brian L. Walker. "Close Concerns: Diabetes Research and Advocacy." Harvard Business School Case 323-047, March 2023. (Revised June 2025.)
      • 2023
      • Chapter

      Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

      By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
      he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
      Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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      Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
      • March 2023
      • Article

      Not from Concentrate: Collusion in Collaborative Industries

      By: Jordan M. Barry, John William Hatfield, Scott Duke Kominers and Richard Lowery
      The chief principle of antitrust law and theory is that reducing market concentration—having more, smaller firms instead of fewer, bigger ones—reduces anticompetitive behavior. We demonstrate that this principle is fundamentally incomplete.

      In many... View Details
      Keywords: Antitrust; Antitrust Law; Antitrust Theory; Law And Economics; Collusion; Collaboration; Collaborative Industries; Regulation; "Repeated Games"; IPOs; Initial Public Offerings; Underwriters; Real Estate; Real Estate Agents; Realtors; Syndicated Markets; Syndication; Brokers; Market Concentration; Competition; Law; Economics; Collaborative Innovation and Invention; Governing Rules, Regulations, and Reforms; Game Theory; Initial Public Offering
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      Barry, Jordan M., John William Hatfield, Scott Duke Kominers, and Richard Lowery. "Not from Concentrate: Collusion in Collaborative Industries." Iowa Law Review 108, no. 3 (March 2023): 1089–1148.
      • February 2023 (Revised February 2024)
      • Case

      Doing Business in Helsinki, Finland

      By: Martin A. Sinozich, Lena Duchene, Tonia Labruyere and Daniela Beyersdorfer
      This case examines the challenges and opportunities of doing business in Finland. It highlights Finland's economic transformation in the decades leading up to 2024 in the context of its history, culture, and politics. The case gives an overview of some of the main... View Details
      Keywords: Business History; Business and Government Relations; Corporate Strategy; Research and Development; Foreign Direct Investment; Crisis Management; Culture; Environmental Sustainability; International Relations; Food and Beverage Industry; Finland; Europe
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      Sinozich, Martin A., Lena Duchene, Tonia Labruyere, and Daniela Beyersdorfer. "Doing Business in Helsinki, Finland." Harvard Business School Case 323-079, February 2023. (Revised February 2024.)
      • 2023
      • Working Paper

      Distributionally Robust Causal Inference with Observational Data

      By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
      We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
      • Working Paper

      Group Fairness in Dynamic Refugee Assignment

      By: Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt and Wentao Weng
      Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geographic location within a host country to which the refugee or asylum seeker is... View Details
      Keywords: Refugees; Geographic Location; Mathematical Methods; Employment; Fairness
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      Freund, Daniel, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, and Wentao Weng. "Group Fairness in Dynamic Refugee Assignment." Harvard Business School Working Paper, No. 23-047, February 2023.
      • January 2023
      • Case

      Year Up: Measuring and Scaling Impact

      By: Natalia Rigol, Benjamin N. Roth, Brian Trelstad and Sarah Mehta
      Year Up, a non-profit that provides training and practical work experience to low-income young people, has for years prioritized impact measurement. By 2022, it had built a robust body of evidence demonstrating that its program yields higher earnings for participants.... View Details
      Keywords: Demographics; Education; Jobs and Positions; Measurement and Metrics; Performance; Research; Social Enterprise; Growth Management; Education Industry; United States; Massachusetts; Boston
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      Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Sarah Mehta. "Year Up: Measuring and Scaling Impact." Harvard Business School Case 823-004, January 2023.
      • January 2023
      • Case

      Cleave Therapeutics: Taking a Risk on Oncology Drug Discovery

      By: Regina Herzlinger and Brian Walker
      What should a successful executive (HBS Baker Scholar) assess as her next move as the CEO of a firm with a promising and yet uncertain new drug? Amy Burroughs’ mandate to successfully commercialize Cleave Therapeutics’ drug for a cancer with no current successful... View Details
      Keywords: Product Development; Leadership; Health Testing and Trials; Research and Development; Risk and Uncertainty; Financial Condition; Partners and Partnerships; Pharmaceutical Industry
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      Herzlinger, Regina, and Brian Walker. "Cleave Therapeutics: Taking a Risk on Oncology Drug Discovery." Harvard Business School Case 323-045, January 2023.
      • December 2022 (Revised June 2023)
      • Case

      Hacking the U.S. Election: Russia's Misinformation Campaign

      By: Shikhar Ghosh
      The case discusses the relatively low technology approach used by Russia to influence the U.S. Presidential Election in 2016. Although political parties manipulating the media was not a new phenomenon, the Russians ran a broad, well-financed, and sophisticated social... View Details
      Keywords: Political Elections; International Relations; Social Media; Power and Influence; Information; Russia; United States
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      Ghosh, Shikhar. "Hacking the U.S. Election: Russia's Misinformation Campaign." Harvard Business School Case 823-043, December 2022. (Revised June 2023.)
      • 2022
      • Article

      Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

      By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
      Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose... View Details
      Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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      Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
      • December 2022
      • Article

      The Contribution of Price Growth to Pharmaceutical Revenue Growth in the United States: Evidence from Medicines Sold in Retail Pharmacies

      By: Pragya Kakani, Michael Chernew and Amitabh Chandra
      Context: To what extent does pharmaceutical revenue growth depend on new medicines versus increasing prices for existing medicines? Moreover, does using list prices, as is commonly done, instead of prices net of confidential rebates offered by manufacturers, which are... View Details
      Keywords: Revenue; Price; Policy; Business Strategy; Pharmaceutical Industry
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      Kakani, Pragya, Michael Chernew, and Amitabh Chandra. "The Contribution of Price Growth to Pharmaceutical Revenue Growth in the United States: Evidence from Medicines Sold in Retail Pharmacies." Journal of Health Politics, Policy and Law 47, no. 6 (December 2022): 629–648.
      • December 2022
      • Article

      The Rise of People Analytics and the Future of Organizational Research

      By: Jeff Polzer
      Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details
      Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees
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      Polzer, Jeff. "The Rise of People Analytics and the Future of Organizational Research." Art. 100181. Research in Organizational Behavior 42 (December 2022). (Supplement.)
      • 2022
      • Article

      Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

      By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
      A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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      Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
      • November 2022
      • Article

      Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings

      By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz
      Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details
      Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position
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      Blesch, Kristin, Oliver P. Hauser, and Jon M. Jachimowicz. "Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings." Nature Human Behaviour 6, no. 11 (November 2022): 1525–1536.
      • 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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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
      • 2022
      • Book

      Healthy Buildings: How Indoor Spaces Can Make You Sick—or Keep You Well

      By: Joseph G. Allen and John D. Macomber
      For too long we’ve designed buildings that haven’t focused on the people inside—their health, their ability to work effectively, and what that means for the bottom line. An authoritative introduction to a movement whose vital importance is now all too clear, Healthy... View Details
      Keywords: COVID-19; Buildings and Facilities; Health; Health Pandemics; Safety
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      Allen, Joseph G., and John D. Macomber. Healthy Buildings: How Indoor Spaces Can Make You Sick—or Keep You Well. Revised and updated edition, Cambridge, MA: Harvard University Press, 2022.
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