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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
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Middle East Negotiation Initiative
The Middle East Negotiation Initiative is a component of the Harvard Negotiation Project that seeks to analyze and develop grounded analysis and advice for complex negotiations in and around the Middle East. Its current focus is on the intellectual and study questions... View Details
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Mitigating the Negative Effects of Customer Anxiety Through Access to Human Contact
By: Michelle A. Kinch and Ryan W. Buell
Prior research in social psychology has shown that when people feel anxious, they seek advice from others. However, companies that operate in high-anxiety settings (like financial services, health care, and education) are increasingly deploying self-service... View Details
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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
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
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