This event is part of Distributed Solutions to Complex Societal Problems View Details

Mean-Field Models for Interacting Agents

Description

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Interacting particle models are a powerful mathematical tool to model the behavior of large groups in economics as well as in the life and social sciences. Here, particles may correspond to agents trading certain goods, fish or birds moving collectively, or individuals exchanging ideas in social networks. Understanding the dynamics of these systems on different levels is of great importance, as it gives insights into the emergence of many complex phenomena. In this workshop we will focus on recent developments and emerging challenges in the derivation and analysis of these micro- and mean-field models. It will feature different perspectives and approaches to these challenges, by bringing together applied mathematicians working at the interfaces between statistics, social sciences and the life sciences.

Organizers

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A C
Annalisa Cesaroni Statistics, Università di Padova
Q D
Qiang Du Applied Physics and Applied Mathematics, Columbia University
B P
Benedetto Piccoli Mathematics, Rutgers University
M W
Marie-Therese Wolfram Mathematics Institute, University of Warwick

Speakers

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A B
Andrea Bertozzi University of California, Los Angeles
J C
Jose Carrillo University of Oxford
M C
Marco Cirant Università degli Studi di Padova
Q C
Quentin Cormier Princeton University
S D
Sharon Di Columbia University
L F
Lisa Fauci Tulane University
P G
Paola Goatin INRIA
S G
Susana Gomes University of Warwick
X G
Xiaoqian Gong Arizona State University
P J
Pierre-Emmanuel Jabin Pennsylvania State University
J L
Jianguo Liu Duke University
A M
Angelika Manhart University College London
L N
Levon Nurbekyan University of California, Los Angeles
N R
Nancy Rodriguez University of Colorado Boulder
F S
Fillippo Santambrogio Universite Claude Bernard Lyon 1
A T
Andrea Tosin Politecnico di Torin
Y Y
Yao Yao Georgia Tech

Registration

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