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      • 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... View Details
      Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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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.
      • 2022
      • Article

      Towards Robust Off-Policy Evaluation via Human Inputs

      By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
      Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
      Keywords: Analytics and Data Science; Research
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      Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
      • August 2022
      • Article

      What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

      By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
      We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
      Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
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      Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
      • July 2022
      • Case

      boAt Lifestyle

      By: Rajiv Lal and Kairavi Dey
      boAt began as a lifestyle brand in the consumer electronics category in 2016 with the aim of bringing affordable, durable, and fashionable audio products and accessories to millennials and Gen-Z customers in India. Born in 2016 with Amazon India as its only sales... View Details
      Keywords: Marketing; Brands and Branding; Initial Public Offering; Digital Marketing; Product Development; Product Marketing; Business or Company Management; Electronics Industry; Consumer Products Industry; Web Services Industry; Asia; India
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      Lal, Rajiv, and Kairavi Dey. "boAt Lifestyle." Harvard Business School Case 523-019, July 2022.
      • July 2022 (Revised October 2024)
      • Case

      3G Capital

      By: Jo Tango and Alys Ferragamo
      In June 2022, 3G Capital Co-Managing Partners Alex Behring and Daniel Schwartz were in a partners’ meeting. On the agenda were three potential investments. Code named “Alpha,” “Bravo,” and “Charlie” (real target companies that have been disguised), they were the... View Details
      Keywords: Investment Decisions; Investment Funds; Investment Portfolio; Decision Choices and Conditions; Private Equity; Leveraged Buyouts
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      Tango, Jo, and Alys Ferragamo. "3G Capital." Harvard Business School Case 823-010, July 2022. (Revised October 2024.)
      • July 2022
      • Article

      Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy

      By: Kyle Myers and Lauren Lanahan
      We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and... View Details
      Keywords: Innovation; Energy; R&D; Grants; Innovation and Invention; Research and Development; Patents; Performance; United States
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      Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
      • 2022
      • Working Paper

      Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

      By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
      We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
      Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing
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      Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
      • June 2022 (Revised January 2023)
      • Case

      Buurtzorg

      By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
      As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in... View Details
      Keywords: Healthcare; Best Practices; Best Practices Transfer; Flat Organization; Self-Managed Organizations; Self-Managed Teams; Organizational Learning; Knowledge Management; Learning; Management Practices and Processes; Human Resources; Communication; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Groups and Teams; Networks; Health Industry; Netherlands; Europe
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      Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
      • June 2022
      • Case

      PFA Pensions: The Climate Plus Product

      By: Daniel Green, Victoria Ivashina and Alys Ferragamo
      The case explores whether alternative investments play a unique role in achieving low carbon dioxide emissions at the portfolio level. This case is set in April of 2020 and follows Kasper Ahrndt Lorenzen, Chief Investment Officer, and Peter Tind Larsen, Head of... View Details
      Keywords: Carbon Emissions; Carbon Footprint; Alternative Assets; Alternative Investment Vehicles; Pension Fund Investing; Private Equity; Renewable Energy; Investment Portfolio; Corporate Social Responsibility and Impact; Environmental Sustainability; Denmark
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      Green, Daniel, Victoria Ivashina, and Alys Ferragamo. "PFA Pensions: The Climate Plus Product." Harvard Business School Case 222-088, June 2022.
      • 2022
      • Working Paper

      A Conceptualization of Sub-Living Wages: Liabilities, Leverage, and Risk

      By: Drew Keller, Katie Panella and George Serafeim
      Currently the accounting system records employee wages as an expense in the income statement. However, paying below living wages can expose an organization to reputational and operational risks. In this paper, we offer an alternative conceptualization of the issue of... View Details
      Keywords: Accounting; Impact Accounting; Leverage; Wages; Compensation and Benefits; Business and Stakeholder Relations; Business and Government Relations; Social Issues; Human Capital
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      Keller, Drew, Katie Panella, and George Serafeim. "A Conceptualization of Sub-Living Wages: Liabilities, Leverage, and Risk." Harvard Business School Working Paper, No. 22-076, June 2022.
      • 2022
      • Conference Presentation

      Towards the Unification and Robustness of Post hoc Explanation Methods

      By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
      As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
      Keywords: AI and Machine Learning
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      Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
      • Article

      Capture New Value from Your Existing Tech Infrastructure

      By: Stefan Thomke and Anthony Rodrigo
      When senior managers think about how to respond to the threats and opportunities of technological change, they often dream of the same thing: If they just could start a new company or division that isn’t held back by conventional thinking or outdated business models.... View Details
      Keywords: Innovation; Technology; Ecosystem; Incubators; Technological Innovation; Telecommunications Industry; South Asia; Malaysia
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      Thomke, Stefan, and Anthony Rodrigo. "Capture New Value from Your Existing Tech Infrastructure." Harvard Business Review Digital Articles (May 5, 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... View Details
      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
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      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.
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Other Teaching and Training Material

      Organizational Behavior Reading: Managing Differences

      By: Robin Ely and Colleen Ammerman
      This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon... View Details
      Keywords: Diversity; Groups and Teams; Prejudice and Bias; Identity; Management Practices and Processes
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      Ely, Robin, and Colleen Ammerman. "Organizational Behavior Reading: Managing Differences." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8394, 2022.
      • March 2022 (Revised May 2022)
      • Case

      Reclaiming the Land of Purple: Purpl’s Mission to Unlock Finance in Lebanon

      By: Lauren Cohen and Grace Headinger
      Karl Naim, Co-Founder and CEO of Purpl, embarked on a venture to lower remittance costs for his native Lebanon. Since October 2019, the Lebanese economy had entered a free fall as its banking sector collapsed and large swathes of its population were plunged into... View Details
      Keywords: Business Startup; Fintech; Inflation; Deflation; Cross-border Frictions; Remittances; Business Startups; Diasporas; Financial Crisis; Money; Entrepreneurship; Cross-Cultural and Cross-Border Issues; Poverty; Financial Institutions; Banking Industry; Financial Services Industry; Technology Industry; Lebanon
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      Cohen, Lauren, and Grace Headinger. "Reclaiming the Land of Purple: Purpl’s Mission to Unlock Finance in Lebanon." Harvard Business School Case 222-078, March 2022. (Revised May 2022.)
      • 2022
      • Article

      Social Interactivity in Live Video Experiences Reduces Loneliness

      By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
      Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video... View Details
      Keywords: Lonelines; Social Connection; Internet-mediated Communication; Experiment; Emotions; Well-being; Interpersonal Communication; Internet
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      Kaveladze, Benjamin T., Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren, and Melissa C. Thomas-Hunt. "Social Interactivity in Live Video Experiences Reduces Loneliness." Frontiers in Digital Health 4:859849 (2022).
      • March 2022
      • Case

      In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent

      By: Lauren Cohen, Grace Headinger and Pierre Marchesseault
      To Cédric Jeannot, leveraging technology to promote financial inclusion was personal. After no established financial institution would accept his technology platform to lower transaction costs for free, Jeannot launched FinTech company Be Mobile Africa in May 2020.... View Details
      Keywords: Finance; Fintech; Emerging Market; Fundraising; Financial Inclusion; Strategy; Expansion; Management; Entrepreneurship; Personal Finance; Corporate Social Responsibility and Impact; Growth and Development Strategy; Financial Services Industry; Banking Industry; Africa; Togo; Nigeria; Ghana
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      Cohen, Lauren, Grace Headinger, and Pierre Marchesseault. "In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent." Harvard Business School Case 222-073, March 2022.
      • 2022
      • Working Paper

      High-Yield Debt Covenants and Their Real Effects

      By: Falk Bräuning, Victoria Ivashina and Ali Ozdagli
      High-yield debt including leveraged loans is characterized by incurrence financial covenants, or “cov-lite” provisions. A traditional loan agreement includes maintenance covenants, which require continuous compliance with the covenant threshold, and their violation... View Details
      Keywords: Debt Covenants; Incurrence Covenants; Borrowing and Debt; Banks and Banking
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      Bräuning, Falk, Victoria Ivashina, and Ali Ozdagli. "High-Yield Debt Covenants and Their Real Effects." NBER Working Paper Series, No. 29888, March 2022.
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
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