SIAM News Blog

2022 NSF-CBMS Regional Research Conferences in the Mathematical Sciences

The seven NSF-CBMS Regional Research Conferences in the Mathematical Sciences for 2022 are now set! These are a series of five-day conferences that feature a distinguished lecturer and seek to stimulate interest and activity in one sharply focused area of the mathematical sciences. See below for more information on the 2022 topics, lecturers, and dates/locations. The invitation is still open to propose conferences for 2022, see CBMS is the Conference Board of the Mathematical Sciences, an organization representing 18 professional societies in the mathematical sciences. SIAM is proud to be a member of the CBMS, and as such, part of the NSF-CBMS Regional Research Conferences. Learn more and apply for these conferences at the respective websites below.

Ramanujan’s Partition Congruences, Mock Theta Functions, and Beyond

The conference lecture series will explore these major themes: extending Ramanujan’s classical partition congruences, furthering the combinatorics of partition congruences, extending partition statistics and cranks, and ranks and mock modular forms. They will include these topics in the context of number theory, combinatorics, physics, and other areas. Much of the recent work has been motivated by data obtained from innovative use of both the mathematical theory and the use of computer algebra systems.  

Analysis, Geometry, and Partial Differential Equations in a Lower-Dimensional World

This conference will deal with recent groundbreaking advances pertaining to connections between analysis, partial differential equations, and geometric properties of multi-dimensional sets. This work has surprising and intricate applications across several areas of physics, materials science, and engineering. Participants will be exposed to the ways in which seemingly abstract concepts and results at the cutting edge of pure mathematics can immediately influence state-of-the-art engineering of photonic devices and the physics behind them. 

Interface of Mathematical Biology and Linear Algebra

  • Pauline van den Driessche, University of Victoria, Stephen Kirkland, University of Manitoba, and Mark Lewis, University of Alberta, lecturers
  • May 23–27 at University of Central Florida
  • Zhisheng Shuai , organizer, [email protected]  
  • website:

This conference focuses on the cutting-edge studies at the interface of these two long-time interacting mathematical branches, which has witnessed significant new advances at a higher level. Specifically, recent advances of new algebraic theories and novel applications of classic matrix results have helped to resolve many challenges in mathematical biology, while biologically-driven research problems have also attracted an increasing number of researchers in the field of linear algebra. 

Parallel Time Integration

The primary focus of this workshop is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications. The lecture series will expose participants to the numerical analysis of parallel-in-time methodologies and their implementations using appropriate mathematical methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretizations, integration techniques, and convergence analyses of these iterative methods. 

Topological Data Analysis and Persistence Theory

The main goal of this conference is to provide an introduction to topological data analysis (TDA) and persistence theory (PT) to a broader audience. TDA and PT are relatively recent methods useful for finding important features in large data sets using ideas from traditionally theoretical branches of mathematics such as algebra and topology. The lectures will include a review of the basic mathematical concepts related to TDA and PT, interactions with statistical methods and machine learning, and current applications and software implementation.  

Nonstandard Finite Difference Methods: Advances in Theory and Applications

The conference will introduce participants to the basic foundations and formulations of Nonstandard Finite Difference Methods (NSFD), discuss the state-of-the-art and latest advances in NSFD theory and applications, and summarize open problems as well as possible future directions in the field. Advances in theory will include explorations of potentially transformative concepts for generalized NSFD construction methods for systems of ordinary, partial, delay, and fractional differential equations. Advances in applications will be highlighted with various studies of engineering, science, and mathematical phenomena of classic or emerging interest modeled by the various classes of differential equations.

K-Theory of Operator Algebras

In the last decade, there have been exciting developments in this field of research with applications to several areas of mathematics. The conference lectures will highlight the recent advances, identify promising new research directions, and help a diverse group of students and early career mathematicians navigate to the frontier of this exciting yet challenging research field.

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