Mean-Field Models for interacting agents
Part of the long program on Distributed Solutions to Complex Societal Problems
November 1-4, 2021
Organizers:
- Annalisa Cesaroni (Padova)
- Qiang Du (Columbia University)
- Benedetto Piccoli (Rutgers University
- Marie-Therese Wolfram (University of Warwick)
Description:
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.
Confirmed Speakers:
- Andrea Bertozzi (University of California, Los Angeles (UCLA))
- Jose Carrillo (University of Oxford)
- Marco Cirant (Università degli Studi di Padova)
- Sharon Di (Columbia Univesity)
- Lisa Fauci (Tulane University)
- Paola Goatin (Inria)
- Susana Gomes (University of Warwick)
- Xiaoqian Gong (Arizona State University)
- Pierre-Emmanuel Jabin (Pennsylvania State University)
- Jianguo Liu (Duke University)
- Angelika Manhart (University College London)
- Levon Nurbekyan (University of California, Los Angeles (UCLA))
- Fillippo Santambrogio (Universite Claude Bernard Lyon 1)
- Andrea Tosin (Politecnico di Torino)
- Yao Yao (Georgia Tech)