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Publications

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    • All HBS Web  (3,771)
      • Faculty Publications  (497)

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      • 2023
      • Article

      On the Impact of Actionable Explanations on Social Segregation

      By: Ruijiang Gao and Himabindu Lakkaraju
      As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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      Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
      • 2023
      • Working Paper

      Spatial Mobility, Economic Opportunity, and Crime

      By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
      Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
      Keywords: Urban Development; Transportation Networks; Crime and Corruption; Transportation Industry; Medellín; Colombia; South America
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      Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo, and Audrey Tiew. "Spatial Mobility, Economic Opportunity, and Crime." Harvard Business School Working Paper, No. 24-016, September 2023. (R&R American Economic Review.)
      • 2024
      • Working Paper

      The Crowdless Future? Generative AI and Creative Problem Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
      • 2023
      • Working Paper

      Channeled Attention and Stable Errors

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
      Keywords: Attentional Stability; Cognition and Thinking; Attitudes; Information; Theory
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023. (Revise and Resubmit, Quarterly Journal of Economics.)
      • August 2023
      • Article

      Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
      • 2025
      • Working Paper

      Residential Battery Storage - Reshaping the Way We Do Electricity

      By: Christian Kaps and Serguei Netessine
      In this paper, we aim to understand when private households invest in behind-the-meter battery storage next to rooftop solar and how those batteries impact households, the electricity market, and emissions. We answer three main research questions: 1) When do customers... View Details
      Keywords: Solar Power; Energy Storage; Technology And Innovation Management; Energy; Energy Policy; Renewable Energy; Technological Innovation; Innovation and Management; Energy Industry
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      Kaps, Christian, and Serguei Netessine. "Residential Battery Storage - Reshaping the Way We Do Electricity." Working Paper, February 2025.
      • August 2023
      • Article

      Status and Mortality: Is There a Whitehall Effect in the United States?

      By: Tom Nicholas
      The influential Whitehall studies found that top-ranking civil servants in Britain experienced lower mortality than civil servants below them in the organizational hierarchy due to differential exposure to workplace stress. I test for a Whitehall effect in the United... View Details
      Keywords: Mortality; Status; Working Conditions; Rank and Position; Welfare; Well-being; Health
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      Nicholas, Tom. "Status and Mortality: Is There a Whitehall Effect in the United States?" Economic History Review 76, no. 3 (August 2023): 1191–1230.
      • 2023
      • Article

      Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

      By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
      The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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      Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
      • July 2023
      • Supplement

      Honeycomb (B): Jumping on The Generative AI Bandwagon?

      By: Jeffrey J. Bussgang and Kumba Sennaar
      Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
      Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States
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      Bussgang, Jeffrey J., and Kumba Sennaar. "Honeycomb (B): Jumping on The Generative AI Bandwagon?" Harvard Business School Supplement 824-013, July 2023.
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • 2023
      • Chapter

      Inflation and Misallocation in New Keynesian Models

      By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
      The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
      Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost
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      Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
      • 2023
      • Working Paper

      The Complexity of Economic Decisions

      By: Xavier Gabaix and Thomas Graeber
      We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
      Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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      Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
      • June 2023 (Revised November 2023)
      • Case

      Sober Sidekick

      By: Jeffrey J. Bussgang and Kumba Sennaar
      Case on the nascent business model of a mobile health IT startup. In particular, should they pivot away from their successful lead generation business model to charging health plans. View Details
      Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; Health Industry; United States
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      Bussgang, Jeffrey J., and Kumba Sennaar. "Sober Sidekick." Harvard Business School Case 823-066, June 2023. (Revised November 2023.)
      • 2023
      • Working Paper

      Evaluation and Learning in R&D Investment

      By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
      We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
      Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • 2023
      • Working Paper

      ESG: From Process to Product

      By: George Serafeim
      ESG measurement, analysis, management, and communication is a process that the financial industry has turned into a product, resulting in many investment funds using the ESG label. This has caused confusion, generating demand for a framework that defines... View Details
      Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Ratings; ESG Reporting; Investment Fund; Investment; Corporate Social Responsibility and Impact; Financial Services Industry
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      Serafeim, George. "ESG: From Process to Product." Harvard Business School Working Paper, No. 23-069, May 2023.
      • May 2023
      • Article

      Decarbonizing Health Care: Engaging Leaders in Change

      By: Vivian S. Lee, Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio and Robert S. Kaplan
      Health care leaders are often surprised to learn that their operations contribute significantly to a warming climate. In addition to their roles as responders to and victims of extreme weather events, health care organizations have an obligation to reduce... View Details
      Keywords: Health Care; Decarbonization; Carbon Emissions; Net-zero Emissions; Climate Change; Health Care and Treatment; Health Industry
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      Lee, Vivian S., Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio, and Robert S. Kaplan. "Decarbonizing Health Care: Engaging Leaders in Change." NEJM Catalyst Innovations in Care Delivery 4, no. 5 (May 2023).
      • April 2023 (Revised September 2023)
      • Case

      Apple's iPhone Revolution: Pioneering the Circular Economy

      By: George Serafeim
      When asked to identify an example of a circular economy business model that has generated billions in revenues for a company, ChatGPT, the famous chatbot that in 2022 rocked the world with its ability to perform a variety of tasks, immediately identified and... View Details
      Keywords: Iphone; Smartphone; Waste Management; Recycling; Innovation; Product Upgrade; Product Life Cycle; Sustainability; Climate Impact; Digital; Business Model Innovation; Climate Change; Information Technology; Business Model; Electronics Industry; Information Technology Industry
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      Serafeim, George. "Apple's iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Case 123-089, April 2023. (Revised September 2023.)
      • 2024
      • Working Paper

      Using LLMs for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
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