paraDIGMS Spring 2021 Conference
Diversity in Graduate Mathematical Sciences
April 23-26, 2021
This online conference is the second conference in the American Mathematical Society’s paraDIGMS initiative to build a community of practice for graduate education in mathematics, with the goal of making the profession stronger and more equitable.
Confronting Climate Change
March 1-5, 2021
The workshop will bring together leaders in mathematics, statistics, and atmospheric sciences to confront grand climate challenges and their impacts. A major goal of the program will be to develop next-generation suites of science-driven mathematical and statistical tools and capabilities to address decision-relevant climate hazards and impacts.
Mathematical and Computational Materials Science
February 15-19, 2021
Computational Materials Science is a branch of the engineering sciences that lies at the intersection of many disciplines. It describes how materials deform, are damaged, and age. This workshop identify questions where mathematics can play a significant role in the future.
Mathematical Advances in Mean Field Games
Complex societal problems can be studied and modeled through the mathematical theory of Mean Field Games. Indeed MFGs are a mathematical modeling approach to stochastically evolving systems which involve a large number of indistinguishable rational agents that have the same optimization criteria. The theory of MFG is very lively and productive at the moment and several important results have been achieved that can be applied to engineering, economics, finance, social sciences, In this final workshop we present recent analytic, probabilistic and numerical advances in this theory.
Applications to Financial Engineering
Mean field theories, Mean Field Games, and Mean Field Control are theoretical concepts which can naturally be brought to bear in applications to financial engineering. The workshop will examine how they influenced the development of financial mathematics theoretical works and the implementation of financial engineering solutions to problems involving large ensembles of individuals or robots optimizing their behaviors in uncertain and complex environments.
Applications of Mean Field Games: from Models to Practice
The paradigm of Mean Field Games (MFG) has become a major connection between distributed decision-making and stochastic modeling. Starting out in the stochastic control literature, it is gaining rapid adoption across a range of industries. The objective of this workshop is to give a clear vision of how MFG tools are being used in practical settings, both in complement and in contrast to the usual methodologies. The workshop will gather researchers both from industry and universities and will focus on diverse application areas.
Mean-Field Models for interacting agents
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. 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.
Aggregate dynamics in models with heterogeneous agents
This conference invites participants to present and discuss current research on models with the following features. The heterogeneous agents feature refers to agents solving dynamic problems subject to idiosyncratic random shocks, each agent with non-trivial interactions with the remaining agents. The “aggregate dynamics” feature refers to the focus on the understanding and characterization of the dynamics of the entire system, either itself subject to aggregate shock or as a deterministic system, using analytical or numerical techniques. Examples of such models are variants of Mean Field Games. Models will have applications in several fields in economics and intersections with other disciplines.