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.
Emilie Purvine is a senior data scientist at Pacific Northwest National Laboratory. Her email address is email@example.com.
Stephen J. Young is a research mathematician and the Applied Mathematical Modeling Team Leader at Pacific Northwest National Laboratory. His email address is firstname.lastname@example.org.