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- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- Teaching Interest
Innovation in Business, Energy and the Environment
By: John D. Macomber
This MBA Elective is offered as a half credit classroom course and as a full credit classroom plus project course. Students investigate industries and interventions in a wide range of topics ranging from hydraulic fracturing to nutrition in urban school districts;... View Details
- Research Summary
Negotiating in the Shadow of Cancer
By: Deepak Malhotra
I am working with collaborators at the Memorial Sloan Kettering Cancer Center to develop interventions that will help surgeons communicate more effectively with cancer patients, with the goal of helping patients make better decisions regarding their health. View Details
- Forthcoming
- Article
On the Limits of Anonymization for Promoting Diversity in Organizations
By: Linda W. Chang and Edward H. Chang
Anonymization of job applicant resumes is a recommended strategy to increase diversity in organizations, but large-scale tests have shown mixed results. We consider decision-makers’ social dominance orientation (SDO), a measure of anti-egalitarianism/endorsement of... View Details
Chang, Linda W., and Edward H. Chang. "On the Limits of Anonymization for Promoting Diversity in Organizations." Personality and Social Psychology Bulletin (forthcoming). (Pre-published online January 3, 2025.)
- Teaching Interest
Overview
By: Peter Tufano
Tufano is the convener for an innovative global doctoral reading group, The Financial Economics of Climate and Sustainability (FECS). This novel course, taught with professors from Yale, Columbia, Stanford, Texas, Imperial, NYU, Mannheim, and Oxford brings together... View Details
- Research Summary
Overview
By: Ting Zhang
Professor Zhang examines how organizations can better develop individuals through advising and mentoring. In particular, she investigates how expanding individuals' direction of learning across social hierarchies and reversing traditional models of learning (e.g.,... View Details
- Research Summary
Overview
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
- Forthcoming
- Article
The Anatomy of a Hospital System Merger: The Patient Did Not Respond Well to Treatment
By: Raffaella Sadun, Martin Gaynor, Adam Sacarny, Chad Syverson and Shruthi Venkatesh
Despite the continuing US hospital merger wave, it remains unclear how mergers change, or fail to change, hospital behavior and performance. We open the “black box” of hospital practices through a mega-merger between two for-profit chains. Benchmarking the merger's... View Details
Sadun, Raffaella, Martin Gaynor, Adam Sacarny, Chad Syverson, and Shruthi Venkatesh. "The Anatomy of a Hospital System Merger: The Patient Did Not Respond Well to Treatment." Review of Economics and Statistics (forthcoming). (Pre-published online October 23, 2023.)
- Teaching Interest
The Role of Government in Market Economies (RoGME)
RoGME is about one question: What is the proper role of government in market economies? We study the role of government as it plays out in the real world, using case studies to examine policies of current interest and importance.... View Details
- Article
Unregulated Emotional Risks of AI Wellness Apps
By: Julian De Freitas and Glenn Cohen
We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
De Freitas, Julian, and Glenn Cohen. "Unregulated Emotional Risks of AI Wellness Apps." Nature Machine Intelligence (in press). (Pre-published online June 6, 2025.)
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