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      • 2022
      • Article

      Data Poisoning Attacks on Off-Policy Evaluation Methods

      By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
      Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
      Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods
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      Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
      • 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.
      • 2022
      • Chapter

      Redirecting Rawlsian Reasoning Toward the Greater Good

      By: Joshua D. Greene, Karen Huang and Max Bazerman
      In A Theory of Justice, John Rawls employed the ‘veil of Ignorance’ as a moral reasoning device designed to promote impartial thinking. By imagining the choices of decision-makers who are blind to biasing information, one might see more clearly the organizing... View Details
      Keywords: Moral Sensibility; Judgments; Prejudice and Bias; Decision Making
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      Greene, Joshua D., Karen Huang, and Max Bazerman. "Redirecting Rawlsian Reasoning Toward the Greater Good." Chap. 15 in The Oxford Handbook of Moral Psychology, edited by Manuel Vargas and John M. Doris, 246–261. Oxford, UK: Oxford University Press, 2022.
      • June 2022
      • Article

      The Use and Misuse of Patent Data: Issues for Finance and Beyond

      By: Josh Lerner and Amit Seru
      Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
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      Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
      • May 2022
      • Article

      Embracing Field Studies as a Tool for Learning

      By: Jon M. Jachimowicz
      Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field—which researchers currently favour—we should also conduct field studies that aim to learn in the field... View Details
      Keywords: Field Studies; Social Psychology; Learning
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      Jachimowicz, Jon M. "Embracing Field Studies as a Tool for Learning." Nature Reviews Psychology 1, no. 5 (May 2022): 249–250.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
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      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Chapter

      Lessons Learned from Support to Business during COVID-19

      By: Gabriel Chodorow-Reich, Benjamin Iverson and Adi Sunderam
      The authors survey the new federal subsidies and loans provided to businesses in the first year of the pandemic—including the Paycheck Protection Program (PPP), the Economic Injury Disaster Loan (EIDL) program, and aid targeted at specific industries such as airlines... View Details
      Keywords: COVID-19 Pandemic; Small Business; Government Legislation; Policy
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      Chodorow-Reich, Gabriel, Benjamin Iverson, and Adi Sunderam. "Lessons Learned from Support to Business during COVID-19." Chap. 4 in Recession Remedies: Lessons Learned from the U.S. Economic Policy Response to COVID-19, edited by Wendy Edelberg, Louise Sheiner, and David Wessel, 123–162. Brookings Institution Press, 2022.
      • May 2022
      • Article

      Variance Analysis: New Insights from Health Care Applications

      By: Robert S. Kaplan and Susanna Gallani
      We use a health care application to illustrate how variance analysis can be used to benchmark costs across similar service delivery sites. Variances for personnel costs, typically the largest cost component in service organizations, are calculated for price, quantity,... View Details
      Keywords: Variance Analysis; Benchmarking; Time-Driven Activity-Based Costing; Health Care; Activity Based Costing and Management; Health Care and Treatment; Service Delivery; Service Industry
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      Kaplan, Robert S., and Susanna Gallani. "Variance Analysis: New Insights from Health Care Applications." Issues in Accounting Education 37, no. 2 (May 2022): 27–36.
      • 2022
      • Working Paper

      An Anatomy of Performance Monitoring

      By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
      Performance monitoring is a mainstay management tool in most organizations. Yet we still know little about whether—and why—better monitoring yields better performance in practice. To shed light on these questions, we study the introduction of a performance monitoring... View Details
      Keywords: Performance Monitoring; Worker Skills; Skill Depreciation; Managerial Inattention; On-the-job Training; Productivity; Multitasking; Quick Serve Restaurants; Performance Evaluation; Employees; Competency and Skills; Training; Performance Productivity; Management; Information Technology; Food and Beverage Industry; Puerto Rico
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      Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "An Anatomy of Performance Monitoring." Harvard Business School Working Paper, No. 22-066, March 2022. (R&R Journal of Political Economy.)
      • March 2022
      • Teaching Note

      JOANN: Joannalytics Inventory Allocation Tool

      By: Kris Ferreira
      Teaching Note for HBS Case No. 621-055. View Details
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      Ferreira, Kris. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Teaching Note 622-067, March 2022.
      • Article

      Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps

      By: Claudia Engel, Jonathan Rodden and Marco Tabellini
      Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported... View Details
      Keywords: Disease Surveillance; Health Pandemics; Risk and Uncertainty; Perception; Policy
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      Engel, Claudia, Jonathan Rodden, and Marco Tabellini. "Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps." Science Advances 8, no. 11 (March 18, 2022).
      • February 2022
      • Case

      CityScore: Big Data Comes to Boston

      By: Boris Groysberg and Sarah L. Abbott
      In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details
      Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States
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      Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
      • January–February 2022
      • Article

      Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

      By: Ryan Allen and Prithwiraj Choudhury
      How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
      Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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      Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
      • January 2022
      • Technical Note

      Introduction to Capital Structure Analytics

      By: Samuel Antill and Ted Berk
      This technical note provides an overview of key analytical approaches that are useful in assessing the appropriateness of a firm’s capital structure and funding plan. This note introduces basic quantitative tools and metrics that are commonly used as inputs to this... View Details
      Keywords: Budgets and Budgeting; Business Plan; Forecasting and Prediction; Borrowing and Debt; Corporate Finance; Capital Structure; Cash Flow; Financial Liquidity; Financial Management; Financing and Loans
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      Antill, Samuel, and Ted Berk. "Introduction to Capital Structure Analytics." Harvard Business School Technical Note 222-061, January 2022.
      • January 2022 (Revised March 2022)
      • Module Note

      Analysis of Financial and Non-Financial Information for Forecasting Performance

      By: Charles C.Y. Wang
      This note describes the main themes and cases of a teaching module on the analysis of information from, and outside of, financial statements for forecasting firms’ future financial performance. The module’s pedagogical goal is to deepen students’ understanding of the... View Details
      Keywords: Financial Reporting; Performance; Analysis; Valuation; Accounting; Finance
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      Wang, Charles C.Y. "Analysis of Financial and Non-Financial Information for Forecasting Performance." Harvard Business School Module Note 122-071, January 2022. (Revised March 2022.)
      • Article

      Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint

      By: Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna and Satchit Balsari
      In the wake of the COVID-19 pandemic, digital health tools have been deployed by governments around the world to advance clinical and population health objectives. Few interventions have been successful or have achieved sustainability or scale. In India, government... View Details
      Keywords: Digital Health Tools; Human-centered Design; Health Care and Treatment; Mobile and Wireless Technology; Design; Technology Adoption
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      Shaikh, Ahmed, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna, and Satchit Balsari. "Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint." Journal of Medical Internet Research 24, no. 1 (January 2022).
      • Column

      The Changing Geography of Work: Priorities for Policy Makers

      By: Prithwiraj Choudhury
      The COVID-19 pandemic thrust the issue of how and where we work into the spotlight. The adoption of remote and hybrid work increased exponentially as lockdowns necessitated social distancing. But now, as we enter a new phase of the pandemic, the Geography of Work—where... View Details
      Keywords: Remote Work; Hybrid Work Model; Work-from-anywhere; Employees; Geographic Location; Policy
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      Choudhury, Prithwiraj. "The Changing Geography of Work: Priorities for Policy Makers." OECD Forum Network (December 6, 2021).
      • December 1, 2021
      • Article

      Do You Know How Your Teams Get Work Done?

      By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
      In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details
      Keywords: Leading Teams; Work Recall Gap; Machine Learning; Algorithms; Groups and Teams; Management; Technological Innovation
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      Murty, Rohan Narayana, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna, and Kartik Hosanagar. "Do You Know How Your Teams Get Work Done?" Harvard Business Review Digital Articles (December 1, 2021).
      • October 2021
      • Article

      Changing Gambling Behavior through Experiential Learning

      By: Shawn A. Cole, Martin Abel and Bilal Zia
      This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
      Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
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      Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
      • September 2021 (Revised December 2023)
      • Case

      On the Bubble: Startup Bootstrapping

      By: Jeffrey J. Bussgang, Tom Quinn and Annelena Lobb
      Bubble was a software company in the low-code/no-code market, making tools that allowed users without traditional programming backgrounds or technical skills to build software. The case covers cofounder Joshua Haas’s engineering background, as he experienced a high... View Details
      Keywords: Business Startups; Business Growth and Maturation; Business Model; Business Plan; Disruption; Transformation; Trends; Customer Focus and Relationships; Customer Relationship Management; Cost vs Benefits; Decisions; Entrepreneurship; Venture Capital; Equity; Executive Compensation; Recruitment; Selection and Staffing; Disruptive Innovation; Technological Innovation; Job Interviews; Growth and Development Strategy; Ownership Stake; Opportunities; Applications and Software; Technology Adoption; Technology Industry; Web Services Industry; New York (city, NY); California; France
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      Bussgang, Jeffrey J., Tom Quinn, and Annelena Lobb. "On the Bubble: Startup Bootstrapping." Harvard Business School Case 822-033, September 2021. (Revised December 2023.)
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