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- Faculty Publications (61)
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- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- 2020
- Working Paper
Fresh Fruit and Vegetable Consumption: The Impact of Access and Value
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020.
- September 2020
- Article
Relaxing Household Liquidity Constraints Through Social Security
By: Sylvain Catherine, Max Miller and Natasha Sarin
More than a quarter of working-age households in the United States do not have sufficient savings to cover their expenditures after a month of unemployment. Recent proposals suggest giving workers early access to a small portion of their future Social Security benefits... View Details
Keywords: COVID-19 Pandemic; Personal Finance; Employment; Welfare; Insurance; Government Legislation
Catherine, Sylvain, Max Miller, and Natasha Sarin. "Relaxing Household Liquidity Constraints Through Social Security." Art. 104243. Journal of Public Economics 189 (September 2020).
- March 2020 (Revised June 2023)
- Case
EyeControl: Inspiring Communication
By: Paul A. Gompers and Danielle Golan
Eye-controlled communication device startup EyeControl was founded in Tel Aviv, Israel in 2016 by cofounders with a shared personal connection to locked-in syndrome—a neurological disorder that left sufferers cognitively sound, yet paralyzed, with the exception of eye... View Details
Keywords: Health Disorders; Communication Technology; Business Startups; Expansion; Finance; Decision Making; Social Enterprise; Medical Devices and Supplies Industry
Gompers, Paul A., and Danielle Golan. "EyeControl: Inspiring Communication." Harvard Business School Case 820-078, March 2020. (Revised June 2023.)
- Article
What We Can Learn from Five Naturalistic Field Experiments That Failed to Shift Commuter Behaviour
By: Ariella S. Kristal and A.V. Whillans
Across five field experiments with employees of a large organization (n = 68,915), we examined whether standard behavioural interventions (“nudges”) successfully reduced single-occupancy vehicle commutes. In Studies 1 and 2, we sent letters and emails with nudges... View Details
Kristal, Ariella S., and A.V. Whillans. "What We Can Learn from Five Naturalistic Field Experiments That Failed to Shift Commuter Behaviour." Nature Human Behaviour 4, no. 2 (February 2020): 169–176. (This article was featured on the cover as the lead article.)
- 2020
- Article
Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data
By: Maryam Ghasemaghaei and Goran Calic
In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
- Article
The Mixed Effects of Online Diversity Training
By: Edward H. Chang, Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth and Adam M. Grant
We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward
women in the workplace. Our preregistered field experiment included an... View Details
Chang, Edward H., Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth, and Adam M. Grant. "The Mixed Effects of Online Diversity Training." Proceedings of the National Academy of Sciences 116, no. 16 (April 16, 2019): 7778–7783.
- April 2019 (Revised January 2025)
- Case
Clear Link Technologies, LLC: Driving Sales with Peer Effects
By: Christopher Stanton, Richard Saouma and Olivia Hull
The importance of a good peer or coworker is widely discussed, but understanding the glue that makes coworkers valuable is less understood. This case sheds light on the importance of peers and the practices and environments that make a group greater than the sum of its... View Details
Keywords: Talent and Talent Management; Interactive Communication; Experience and Expertise; Decision Making; Training; Design; Compensation and Benefits; Knowledge Acquisition; Knowledge Sharing; Human Capital; Working Conditions; Measurement and Metrics; Outcome or Result; Performance; Performance Improvement; Research; Sales; Salesforce Management; Motivation and Incentives; Telecommunications Industry; Utah; United States
Stanton, Christopher, Richard Saouma, and Olivia Hull. "Clear Link Technologies, LLC: Driving Sales with Peer Effects." Harvard Business School Case 819-072, April 2019. (Revised January 2025.)
- September 2018
- Case
Kevin Ryan Inc.
By: Shikhar Ghosh and Greg Marsh
The case focuses on the hiring process for a CEO. Kevin Ryan had a solid trajectory as a serial entrepreneur of well-known ventures like Gilt Group, DoubleClick, Business Insider, among others. Ryan tended to involve himself in all aspects of his ventures: ideation,... View Details
Keywords: Hiring; Team Building; Interviews; CEO; Human Resources; Selection and Staffing; Entrepreneurship; Business Startups; United States; North America
Ghosh, Shikhar, and Greg Marsh. "Kevin Ryan Inc." Harvard Business School Case 819-047, September 2018.
- Article
Evaluating the Effectiveness of Corporate Compliance Programs: Establishing a Model for Prosecutors, Courts, and Firms
By: Eugene F. Soltes
When prosecutors, courts, and regulators make charging and sentencing decisions, they must evaluate whether firms have effective compliance programs. Such evaluations are difficult because of the challenges associated with measuring effectiveness. Notably, these... View Details
Keywords: Corporate Governance; Governance Compliance; Performance Effectiveness; Performance Evaluation
Soltes, Eugene F. "Evaluating the Effectiveness of Corporate Compliance Programs: Establishing a Model for Prosecutors, Courts, and Firms." NYU Journal of Law & Business 14, no. 3 (Summer 2018): 965–1011.
- May–June 2018
- Article
The Surprising Power of Questions
By: Alison Wood Brooks and Leslie K. John
Much of an executive’s workday is spent asking others for information—requesting status updates from a team leader, for example, or questioning a counterpart in a tense negotiation. Yet unlike professionals such as litigators, journalists, and doctors, who are taught... View Details
Keywords: Interpersonal Communication; Communication Strategy; Information; Knowledge Sharing; Performance Effectiveness
Brooks, Alison Wood, and Leslie K. John. "The Surprising Power of Questions." Harvard Business Review 96, no. 3 (May–June 2018): 60–67.
- 2018
- Working Paper
Zig-Zagging Your Way to Transformative Impact
By: V. Kasturi Rangan and Tricia Gregg
Achieving transformative impact has been much discussed by social entrepreneurs, funders, and consultants. These discussions have focused on issues of increasing impact and scale, but often with no clear distinction between the two terms. In order to provide clarity,... View Details
Keywords: Social Entrepreneurship; Performance Efficiency; Growth and Development; Outcome or Result; Strategy
Rangan, V. Kasturi, and Tricia Gregg. "Zig-Zagging Your Way to Transformative Impact." Harvard Business School Working Paper, No. 18-062, January 2018.
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- January 2018
- Article
Innovation Incentives and Biomarkers
By: Ariel Dora Stern, Brian M. Alexander and Amitabh Chandra
Previously, we have discussed the importance of economic incentives in shaping markets for precision medicines. Here we consider incentives for biomarker development, including discovery and establishment. Biomarkers can reveal valuable information regarding diagnosis... View Details
Stern, Ariel Dora, Brian M. Alexander, and Amitabh Chandra. "Innovation Incentives and Biomarkers." Clinical Pharmacology & Therapeutics 103, no. 1 (January 2018): 34–36.
- 2017
- Article
Affective, Cognitive and Behavioral Trajectories of Change Recipients in Global Organizations
By: B. S. Reiche, T. B. Neeley and N. Overmeyer
Research rarely addresses how change recipients respond to radical change across affective, cognitive, and behavioral dimensions over time. We examined a radical change in a recently acquired subsidiary of a U.S.-based global organization over a two-year period. With... View Details
Keywords: Change; Spoken Communication; Globalized Firms and Management; Behavior; Cross-Cultural and Cross-Border Issues
Reiche, B. S., T. B. Neeley, and N. Overmeyer. "Affective, Cognitive and Behavioral Trajectories of Change Recipients in Global Organizations." Academy of Management Proceedings (2017). (Proceedings of the 77th Annual Meeting (2017), edited by Guclu Atinc. Online ISSN: 2151-6561.)
- Article
Don't Stop Believing: Rituals Improve Performance by Decreasing Anxiety
By: Alison Wood Brooks, Julianna Schroeder, Jane Risen, Francesca Gino, Adam D. Galinsky, Michael I. Norton and Maurice Schweitzer
From public speaking to first dates, people frequently experience performance anxiety. And when experienced immediately before or during performance, anxiety harms performance. Across a series of experiments, we explore the efficacy of a common strategy that people... View Details
Brooks, Alison Wood, Julianna Schroeder, Jane Risen, Francesca Gino, Adam D. Galinsky, Michael I. Norton, and Maurice Schweitzer. "Don't Stop Believing: Rituals Improve Performance by Decreasing Anxiety." Organizational Behavior and Human Decision Processes 137 (November 2016): 71–85.
- 2016
- Working Paper
Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field
By: Natalia Rigol and Benjamin N. Roth
Rigol, Natalia, and Benjamin N. Roth. "Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field." Working Paper, April 2016.
- 2016
- Working Paper
The Search for Peer Firms: When Do Crowds Provide Wisdom?
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
In knowledge-based economies, many business enterprises defy traditional industry boundaries. In this study, we evaluate six "big data" approaches to peer firm identifications and show that some, but not all, "wisdom-of-crowd" techniques perform exceptionally well. We... View Details
Keywords: Peer Firm; EDGAR Co-search; Analyst Co-coverage; Wisdom Of Crowds; Performance Benchmarking; Crowd Of Crowds; Internet and the Web; Accounting
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "The Search for Peer Firms: When Do Crowds Provide Wisdom?" Harvard Business School Working Paper, No. 15-032, October 2014. (Revised November 2016.)