Mathematical Foundations of Network Models and their Applications (24w4004)
Organizers
Louigi Addario-Berry (McGill University)
Siva Athreya (International Centre for Theoretical Sciences - TIFR)
Shankar Bhamidi (University of North Carolina, Chapel Hill)
Serte Donderwinkel (University of Groningen)
Soumik Pal (University of Washington Seattle)
Description
The Chennai Mathematical Institute will host the "Mathematical Foundations of Network Models and their Applications" workshop in Chennai, India from December 15 to December 20, 2024.
The aim of this workshop is to understand the mathematical foundations of network models and the insight mathematical analysis can provide to practitioners in diverse application areas. It is hard to overstate the impact of networks, both in terms of their influence on our daily lives, ranging from the spread of epidemics on contact networks, the role of ranking algorithms in the diffusion of opinions on social networks, to the use of networks as key mathematical tools in the analysis and understanding of data in areas such as systems biology, neuroscience and sociology.
The goal of this workshop, aimed at bringing together junior and senior researchers across a broad spectrum of research areas broadly connected to the theory of networks and its applications, is to provide both fundamental training and exposure to some of the major open areas for research in this rapidly burgeoning field. Major themes include dynamic processes on networks (including epidemic models, as well as networks evolving over time); understanding what modern limit theory says about asymptotics for network models, as well as the limitations of current state of the art; mathematical insights into complicated machine learning pipelines built on top of network analytic frameworks; and the use of important mathematical tools such as optimal transport theory in answering such questions.
The Chennai Mathematical Institute (CMI) in Chennai, India, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), and Alberta's Advanced Education