معرفی
Berkeley J. Dietvorst is an Associate Professor of Marketing at the Booth School of Business, University of Chicago. His research focuses on consumer and managerial decision making under risk and uncertainty, particularly examining preferences for human vs. algorithmic predictions and choice architecture.
- Key research areas: Predictive algorithms, behavioral economics, consumer psychology, replication studies, and ethical decision making
- Teaches Marketing Strategy in Spring quarters
Recent publications explore algorithm aversion, replication-based prediction models, and AI ethics. His work appears in journals like Nature Human Behaviour, Management Science, and Psychological Science.
Scientific Awards:
- 2025 Journal of Consumer Psychology Best Paper Award
- 2023 SJDM Best Paper Award
- 2020 APA Early Career Award
- 2019 INFORMS Finalist for Decision Analysis Society Publication Award
- 2019 SPSP Cialdini Prize
Contact: berkeley.dietvorst@ChicagoBooth.edu
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