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(1,048)
- Faculty Publications (248)
- December 2023
- Teaching Note
Buurtzorg
By: Ethan Bernstein and Tatiana Sandino
Teaching Note for HBS Case No. 122-101. 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... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Article
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2025
- Working Paper
Managing Remote Work Quality: Evidence from Auditing Management Systems Standards
By: Ashley Palmarozzo, Michael W. Toffel and Melissa Ouellet
Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details
Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety
Palmarozzo, Ashley, Michael W. Toffel, and Melissa Ouellet. "Managing Remote Work Quality: Evidence from Auditing Management Systems Standards." Harvard Business School Working Paper, No. 24-002, July 2023. (Revised February 2025.)
- 2023
- Working Paper
Algorithm Failures and Consumers' Response: Evidence from Zillow
By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 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
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.
- 2023
- Working Paper
Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?
By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
- 2022
- Article
Before Plagiarism: Lawyers and Copynorms in Europe, 1300–1600
By: Robert Fredona and Sophus A. Reinert
This essay uses the concept of 'copynorms', social norms about copying expressive works that can be distinct from legal norms about the same, in order to understand the meaning of intellectual property among Roman law and canon law jurists from the fourteenth through... View Details
- December 2022
- Article
Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences
By: Leigh Plunkett Tost, Ashley E. Hardin and Francesca Gino
We examine whether narratives about, and the psychological consequences of, perceived gender discrimination differ between women and men. We argue that women and men have different dominant narratives about the reasons why people discriminate against people of their... View Details
Tost, Leigh Plunkett, Ashley E. Hardin, and Francesca Gino. "Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences." Academy of Management Journal 65, no. 6 (December 2022): 1804–1834.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- October 2022
- Article
It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review
By: Michael Nurok, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes and Robert S. Kaplan
The United States spends more for intensive care units (ICUs) than do other high-income countries. We used time-driven activity-based costing (TDABC) to analyze ICU costs for initiation of extracorporeal membrane oxygenation (ECMO) for respiratory failure to estimate... View Details
Keywords: Healthcare; Cost; Time-Driven ABC; Health Care and Treatment; Cost Management; Activity Based Costing and Management; Health Industry
Nurok, Michael, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes, and Robert S. Kaplan. "It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review." Anesthesia & Analgesia 135, no. 4 (October 2022): 711–718.
- 2022
- Article
The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning
By: Michael Prinzing, Julian De Freitas and Barbara L. Fredrickson
The desire for a meaningful life is ubiquitous, yet the ordinary concept of a meaningful life is poorly understood. Across six experiments (total N = 2,539), we investigated whether third-person attributions of meaning depend on the psychological states an agent... View Details
Keywords: Experimental Philosophy; Folk Theories; Meaning In Life; Moral Psychology; Positive Psychology; Moral Sensibility; Satisfaction
Prinzing, Michael, Julian De Freitas, and Barbara L. Fredrickson. "The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning." Journal of Positive Psychology 17, no. 5 (2022): 639–654.
- September 2022
- Technical Note
Addressing Social Determinants of Health in the American Landscape
By: Susanna Gallani and Jacob Riegler
Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person’s health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are... View Details
Keywords: Socioeconomic Determinants Of Health; Social Determinants Of Health; Population Health; Health; Health Care and Treatment; Social Issues; Health Industry; Insurance Industry; Medical Devices and Supplies Industry; United States
Gallani, Susanna, and Jacob Riegler. "Addressing Social Determinants of Health in the American Landscape." Harvard Business School Technical Note 123-023, September 2022.
- August, 2022
- Article
Billing and Insurance-Related Administrative Costs: A Cross-National Analysis
By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these... View Details
Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.
- 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
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.
- 2024
- Working Paper
Hidden Alpha
By: Manuel Amman, Alexander Cochardt, Lauren Cohen and Stephan Heller
This paper documents the central role of hidden connections between fund managers and firm officers in financial markets, drawing on an extensive dataset of over 100 thousand manually identified Facebook profiles and their 35 million Facebook friends. Our findings... View Details
Amman, Manuel, Alexander Cochardt, Lauren Cohen, and Stephan Heller. "Hidden Alpha." Working Paper, 2024. (Winner of the 2022 Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of the Institute for Quantitative Investment Research (INQUIRE) Grant, 2023.)