Conference

Mathematics Research Communities (MRC) Conference: Models and Methods for Sparse (Hyper)Network Science

This prestigious MRC conference aims to bring together early-career researchers with senior mathematicians to network and solve problems relevant to business, industry, and government.

MRC logo
June 5-11, 2022

Researchers from multiple Department of Energy laboratories are organizing an American Mathematical Society MRC (Mathematics Research Communities) conference in 2022 called "Models and Methods for Sparse (Hyper)Network Science in Business, Industry, and Government." While networks and hypergraphs are traditionally explored from a combinatorial and discrete math perspective, the organizers also have a topological approach that they will bring to some of the problems that are tackled.

Graph and hypergraph models are powerful tools for understanding the kinds of critical systems studied at national laboratories, including computer networks, critical infrastructure systems, systems biology, and social networks. This MRC will focus on developing models and analytical methods to enable data-driven exploration and analysis of such systems through the lens of graphs and hypergraphs by addressing several challenges.

The goal of an MRC is to build community and collaborations among early career researchers (2 years pre-PhD to 5 years post-PhD) around an important research topic, with financial support from the National Science Foundation and the American Mathematical Society. The week-long conference (June 5–11, 2022) establishes the collaborations through introductory talks from experts, small working groups focused on specific problems, and career development sessions. The collaborations often extend beyond the week-long conference as the small teams continue the work they started during the week.

This conference is particularly oriented to those with an interest in careers in mathematics, data science, and computer science interacting outside of academia. To mimic the organization of research teams at Business, Industry, and Government (BIG) organizations. we will strive to have interdisciplinary teams in which team members will have different strengths that come together to solve a problem. This conference will also include interactive sessions on preparing for BIG careers. Early career researchers are encouraged to apply.

Applications are now being accepted on MathPrograms. Application deadline is February 15, 2022. Conference will be held on June 5-11, 2022.

Conference Organizers

Sinan Aksoy

Sinan Aksoy

Pacific Northwest National Laboratory

Sinan G. Aksoy is a senior data scientist specializing in graph theory and complex networks at Pacific Northwest National Laboratory. His email address is sinan.aksoy@pnnl.gov.

 

 

Aric Hagberg

Aric Hagberg

Los Alamos National Laboratory

Aric Hagberg is the deputy division leader of the Computer, Computational, and Statistical Sciences Division at Los Alamos National Laboratory. His email address is hagberg@lanl.gov.

 

 

 

Cliff Joslyn

Cliff Joslyn

Pacific Northwest National Laboratory

Cliff Joslyn is the Chief Knowledge Scientist and the Mathematics of Data Science Team Leader at Pacific Northwest National Laboratory. His email address is cliff.joslyn@pnnl.gov.

 

 

Bill Kay

Bill Kay

Pacific Northwest National Laboratory

Bill Kay is a data scientist, formerly at Oak Ridge National Laboratory now at Pacific Northwest National Laboratory. His email address is william.kay@pnnl.gov

 

 

 

Emilie Purvine

Emilie Purvine

Pacific Northwest National Laboratory

Emilie Purvine is a senior data scientist at Pacific Northwest National Laboratory. Her email address is emilie.purvine@pnnl.gov.

 

 

Stephen Young

Stephen Young

Pacific Northwest National Laboratory

Stephen J. Young is a research mathematician and the Applied Mathematical Modeling Team Leader at Pacific Northwest National Laboratory. His email address is stephen.young@pnnl.gov.