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      • 2023
      • Article

      On Minimizing the Impact of Dataset Shifts on Actionable Explanations

      By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
      The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
      • 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.)
      • August 2023 (Revised March 2024)
      • Case

      Arla Foods: Data-Driven Decarbonization (A)

      By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
      The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
      Keywords: Dairy Industry; Business Earnings; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
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      Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023. (Revised March 2024.)
      • August 2023 (Revised January 2024)
      • Supplement

      Arla Foods: Data-Driven Decarbonization (B)

      By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
      The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
      Keywords: Dairy Industry; Earnings Management; Environmental Accounting; Animal-Based Agribusiness; Mergers and Acquisitions; Decisions; Voting; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Cross-Cultural and Cross-Border Issues; Global Strategy; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercial Banking; Cooperation; Corporate Strategy; Motivation and Incentives; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Denmark; Sweden; Luxembourg; Belgium
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      Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (B)." Harvard Business School Supplement 624-036, August 2023. (Revised January 2024.)
      • 2023
      • Working Paper

      Targeting, Personalization, and Engagement in an Agricultural Advisory Service

      By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
      ICT is increasingly used to deliver customized information in developing countries. We examine whether individually targeting the timing of automated voice calls meaningfully increases engagement in an agricultural advisory service. We define, estimate, and... View Details
      Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
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      Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
      • August 2023
      • Article

      Formal Employment and Organized Crime: Regression Discontinuity Evidence from Colombia

      By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
      Safety net programs, common in settings with high informality like Latin America, often use a means test to establish eligibility. We ask: in settings in which organised crime provides lucrative opportunities in the informal market, will discouraging formal employment... View Details
      Keywords: Gangs; Informality; Crime and Corruption; Job Search; Recruitment; Colombia
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      Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Jorge Tamayo, and Nicolas Torres. "Formal Employment and Organized Crime: Regression Discontinuity Evidence from Colombia." Economic Journal 133 (August 2023): 2427–2448.
      • 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.
      • 2023
      • Working Paper

      Learning to Use: Stack Overflow and Technology Adoption

      By: Daniel Jay Brown and Maria P. Roche
      In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
      Keywords: Technology Adoption; Knowledge Sharing
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      Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
      • July 11, 2023
      • Article

      How Reputation Does (and Does Not) Drive People to Punish Without Looking

      By: Jillian J. Jordan and Nour S. Kteily
      Punishing wrongdoers can confer reputational benefits, and people sometimes punish without careful consideration. But are these observations related? Does reputation drive people to people to “punish without looking”? And if so, is this because unquestioning... View Details
      Keywords: Opposing Perspectives; Outrage Culture; Signaling; Ideology; Moralistic Punishment; Perspective; Behavior; Reputation; Decision Making
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      Jordan, Jillian J., and Nour S. Kteily. "How Reputation Does (and Does Not) Drive People to Punish Without Looking." Proceedings of the National Academy of Sciences 120, no. 28 (July 11, 2023).
      • June 2023 (Revised November 2024)
      • Case

      Albert Einstein: Changing the World

      By: Robert Simons and Shirley Sun
      This case traces the rise of Albert Einstein from a small town in Germany to a towering intellectual leader who revolutionized the field of physics. The case describes his early education and his penchant for individual thinking and non-conformity. A committed... View Details
      Keywords: Science; Research; Personal Characteristics; Mission and Purpose; Success; Work-Life Balance; Higher Education; Power and Influence
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      Simons, Robert, and Shirley Sun. "Albert Einstein: Changing the World." Harvard Business School Case 123-025, June 2023. (Revised November 2024.)
      • 2023
      • Working Paper

      Location-Specificity and Geographic Competition for Remote Workers

      By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
      The precipitous growth of remote work has given rise to a new phenomenon: geographic competition between localities for the physical presence of remote workers. Remote workers with high general human capital may create value for their new destinations and reverse net... View Details
      Keywords: Remote Work; Human Capital; Geographic Location; Civil Society or Community; Motivation and Incentives
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      Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Geographic Competition for Remote Workers." Harvard Business School Working Paper, No. 23-071, May 2023.
      • June 2023
      • Article

      Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening

      By: Francis J Flynn, Hanne Collins and Julian Zlatev
      Extraverts are often characterized as highly social individuals who are highly invested in their interpersonal interactions. We propose that extraverts' interaction partners hold a different view-that extraverts are highly social, but not highly invested. Across six... View Details
      Keywords: Extraversion; Listening; Self-monitoring; Sociability; Interaction; Interpersonal Communication; Perception
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      Flynn, Francis J., Hanne Collins, and Julian Zlatev. "Are You Listening to Me? The Negative Link between Extraversion and Perceived Listening." Personality and Social Psychology Bulletin 49, no. 6 (June 2023): 837–851.
      • 2023
      • Working Paper

      Auditing Predictive Models for Intersectional Biases

      By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
      Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
      Keywords: Predictive Models; Bias; AI and Machine Learning
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      Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
      • May 2023
      • Technical Note

      Venture Capital at a Crossroads

      By: Jo Tango and Alys Ferragamo
      Venture capital is a cyclical, ever-changing industry, as seen in recent years. The late 2010s and early 2020s witnessed record amounts of capital flowing into the sector, high valuations, and new types of investors entering the market. Innovations in the seed stage,... View Details
      Keywords: Venture Capital
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      Tango, Jo, and Alys Ferragamo. "Venture Capital at a Crossroads." Harvard Business School Technical Note 823-122, May 2023.
      • 2023
      • Working Paper

      Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

      By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
      Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
      Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • March 2023
      • Article

      Developing Moral Muscle in a Literature-based Business Ethics Course

      By: Inge M. Brokerhof, Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen and Omar N. Solinger
      Moral subjectivity (e.g., reflexivity, perspective-taking) is a necessary condition for moral development. However, widely used approaches to business ethics education, rooted in conceptualizations of ethical development as objective and quantifiable, often neglect... View Details
      Keywords: Moral Sensibility; Business Education; Growth and Development; Teaching
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      Brokerhof, Inge M., Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen, and Omar N. Solinger. "Developing Moral Muscle in a Literature-based Business Ethics Course." Academy of Management Learning & Education 22, no. 1 (March 2023): 63–87.
      • May 2023
      • Article

      Equilibrium Effects of Pay Transparency

      By: Zoë B. Cullen and Bobak Pakzad-Hurson
      The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received... View Details
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Corporate Disclosure; Wages; Negotiation
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Econometrica 91, no. 3 (May 2023): 765–802. (Lead Article.)
      • 2023
      • Article

      Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

      By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
      As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
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      Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
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