Stony Brook Game Theory conference, July 20-24

International Conference on Game Theory, Zoom Webinar, July 20 - 24, 2020  (Registration here)

Monday, July 20

09:30 - 10:15  Éva Tardos  (Cornell University)
Stability and Learning in Strategic Queuing Systems
10:15 - 11:00 Tilman Börgers  (University of Michigan)
Learning Simplicity
11:00 - 11:15 Break
11:15 - 12:00 Plenary Address
Daron Acemoglu  (Massachusetts Institute of Technology)
Too Much Data: Prices and Inefficiencies in Data Markets
12:00 - 12:45 Break
12:45 - 13:30  Plenary Address
Yuliy Sannikov  (Stanford Graduate School of Business)
TBA
13:30 - 13:45 Break
13:45 - 14:30 John Geanakoplos  (Yale University)
Money and Status: How to Incentivize Work in a Meritocracy
14:30 - 15:15 Alexander Frankel  (University of Chicago Booth School of Business)
Information Hierarchies
15:15 - 16:00 Andreas Blume  (University of Arizona)
Information Processing: Contracts versus Communication

Tuesday, July 21

09:30 - 10:15 Ran Spiegler  (Tel Aviv University )
Cheating with (Recursive) Models
10:15 - 11:00 Kareen Rozen  (Brown University)
TBA
11:00 - 11:15 Break
11:15 - 12:00 Plenary Address
Robert J. Aumann  (Hebrew University of Jerusalem)
A Synthesis of Behavioral and Mainstream Economics
12:00 - 12:45 Break
12:45 - 13:30  J. Aislinn Bohren  (University of Pennsylvania)
Inaccurate Statistical Discrimination: An Identification Problem
13:30 - 14:15 Ignacio Esponda  (University of California Santa Barbara)
Asymptotic Behavior of Bayesian Learners with Misspecified Models
14:15 - 14:30 Break
14:30 - 15:15 Dirk Bergemann  (Yale University)
Search, Information and Prices
15:15 - 16:00 Hector Chade  (Arizona State University)
Screening in Vertical Oligopolies

Wednesday, July 22

09:30 - 10:15 Myrna Wooders  (Vanderbilt University)
Non-Cooperative Team Formation and a Team Formation Mechanism
10:15 - 11:00 George J. Mailath  (University of Pennsylvania)
Coalition-Proof Risk Sharing Under Frictions
11:00 - 11:15 Break
11:15 - 12:00 Plenary Address
Oliver Hart  (Harvard University)
Prosocial Corporate Governance
12:00 - 12:45 Break
12:45 - 13:30 Vasiliki Skreta  (UT Austin and University College London)
Information Design by an Informed Designer
13:30 - 14:15 Kyungmin Kim  (Emory University)
Competition under Moment Conditions
14:15 - 14:30 Break
14:30 - 15:15 Juan Ortner  (Boston University)
Bargaining with Evolving Private Information
15:15 - 16:00 Marcin Pęski  (University of Toronto)
Bargaining under Incomplete Information

Thursday, July 23

09:30 - 10:15 Jörgen Weibull  (Stockholm School of Economics)
John Nash Meets Immanuel Kant: Moral Motivation in Strategic Interactions
10:15 - 11:00 Aviad Heifetz  (The Open University of Israel)
Liberal Parentalism
11:00 - 11:15 Break
11:15 - 12:00 Plenary Address
Parag Pathak  (Massachusetts Institute of Technology)
Leaving No Ethical Value Behind: Triage Protocol Design for Pandemic Rationing
12:00 - 12:45 Break
12:45 - 13:30 Plenary Address
Matthew Gentzkow  (Stanford University)
Ideological Bias and Trust in Information Sources
13:30 - 13:45 Break
13:45 - 14:30 Marzena Rostek  (University of Wisconsin-Madison)
Decentralized Market Design
14:30 - 15:15 Yeon-Koo Che  (Columbia University)
Weak Monotone Comparative Statics
15:15 - 16:00 Leeat Yariv  (Princeton University)
Dominance Solvability in Random Games

Friday, July 24

09:30 - 10:15 Nicole Immorlica  (Microsoft Research New England)
Incentivizing Exploration with Selective Data Disclosure
10:15 - 11:00 Sven Rady  (Universitat Bonn)
Overcoming Free-Riding in Bandit Games
11:00 - 11:15 Break
11:15 - 12:00 Plenary Address
Jean Tirole  (Toulouse School of Economics)
Digital Dystopia
12:00 - 12:45 Break
12:45 - 13:30 S. Nageeb Ali  (Pennsylvannia State University)
Reselling Information
13:30 - 14:15 Rachel E. Kranton  (Duke University)
Social Networks and the Market for News
14:15 - 14:30 Break
14:30 - 15:15 Hülya K. K. Eraslan  (Rice University)
Efficiency with Political Power Dynamics and Costly Policy Change
15:15 - 16:00 Lones Smith  (University of Wisonsin-Madison)
The Behavioral SIR Model with Applications to COVID-19 and the Swine Flu Pandemics