On the occasion of twenty years of research on mean-field games (MFG) and mean-field control (MFC), the workshop will bring together leading specialists of the topic and its applications. Introduced in the pioneering work of Lasry and Lions and, independently, Caines, Huang, and Malhamé, MFG and MFC models describe problems of dynamic interactions between a very large number of rational agents. This family of problems is ubiquitous in modern scientific activity: they systematically appear in macroeconomics (heterogeneous agent models), finance (price formation, limit order books, systemic risk), engineering (crowd analysis, smart cities, and self-driving vehicles), energy markets, epidemic modeling, etc. The workshop will be an opportunity to take stock of 20 years of research on these topics, bringing together the leading specialists in the field. The aim is to identify the main open questions, suggest methodologies for tackling more complex models, and propose new avenues for application.
In-Person Registration
Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.
All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.
All registrants (online and in-person) will receive zoom links and are welcome to attend online.
Registration Fee
A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.
Gökçe Dayanıklı
University of Illinois Urbana-Champaign (UIUC)
D
L
Daniel Lacker
Columbia University
P
L
Pierre-Louis Lions
Collège de France
Registration
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