Prof. Drazen Prelec
Digital Equipment Corporation Leaders for Global Operations Professor of Management
Professor of Economics and Brain and Cognitive Sciences
Primary DLC
MIT Sloan School of Management
MIT Room:
E62-540
Areas of Interest and Expertise
Consumer Behavior and Credit Cards
Consumer Psychology
Virtual Customer (VC) Initiative
Marketing
Management Science (MS)
Consumer Psychology
Virtual Customer (VC) Initiative
Marketing
Management Science (MS)
Research Summary
Neuroeconomics -- Drazen Prelec’s research deals with the psychology and neuroscience of decision making (behavioral economics and neuroeconomics; risky choice, time discounting, self-control, consumer behavior). He works both on the development of normative decision theory and the exploration of the empirical failures of that theory, using behavioral and fMRI methods.
A current project on “self-signaling” tries to understand the strange power of non-causal motivation — when individuals favor actions that are diagnostic of good outcomes, even though these actions have little or no causal force. Diagnostic motivation is real, and is probably essential for human self-control. Its cognitive and neural mechanisms are not well understood however.
A second “Bayesian truth serum” project deals with scoring systems for evaluating individual and collective judgment in knowledge domains where no external truth criterion is available. Examples would be long-range forecasts, political or historical inferences, and artistic or legal interpretations. He is developing scoring systems that reward honest judgments, and that can identify truth even when majority opinion is wrong.
A current project on “self-signaling” tries to understand the strange power of non-causal motivation — when individuals favor actions that are diagnostic of good outcomes, even though these actions have little or no causal force. Diagnostic motivation is real, and is probably essential for human self-control. Its cognitive and neural mechanisms are not well understood however.
A second “Bayesian truth serum” project deals with scoring systems for evaluating individual and collective judgment in knowledge domains where no external truth criterion is available. Examples would be long-range forecasts, political or historical inferences, and artistic or legal interpretations. He is developing scoring systems that reward honest judgments, and that can identify truth even when majority opinion is wrong.
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Projects
January 26, 2016MIT Sloan School of Management
Application of Bayesian Truth Serum to Forecasting, and Collaborative Discussion
Principal Investigator Drazen Prelec
April 3, 2015MIT Sloan School of ManagementMIT Sloan Neuroeconomics Lab
Principal Investigator Drazen Prelec
April 3, 2015MIT Sloan School of ManagementMIT Sloan Neuroeconomics Lab: Behavioral Economics
Principal Investigator Drazen Prelec
April 3, 2015MIT Sloan School of ManagementMIT Sloan Neuroeconomics Lab: Neuroeconomics
Principal Investigator Drazen Prelec
April 3, 2015MIT Sloan School of ManagementMIT Sloan Neuroeconomics Lab: Bayesian Truth Serum
Principal Investigator Drazen Prelec
April 11, 2012MIT Sloan School of ManagementMIT Sloan Marketing Group
Principal Investigator Drazen Prelec