Friday, August 4, 2023
MAA MathFest 2023

MAA Invited Paper Session
Trends in Mathematical and Computational Biology

Read the abstracts for the talks from this session: https://www.maa.org/node/3574985/

Quantitative Justice is an emerging field that lies at the intersection of quantitative science and social justice. Quantitative Justice encompasses all forms of mathematical, computational, and statistical analysis of problems that are sourced in the real world, often in domains that are considered “social science." The key component that differentiates Quantitative Justice from typical quantitative analysis of social science phenomena is that either the topic under investigation or the rationale for the analysis are rooted in addressing societal inequities. These methods used include: data science, statistics, natural language processing, network analysis, topological data analysis, dynamical systems, combinatorics, computer science, database analysis, mathematical biology, environmental science, and scholarship of teaching and learning.

This session will help address the common question: “how can math be used for social justice?” By inviting speakers with experience in quantitative justice, participants can see how metric geometry and markov chains show up in electoral redistricting, how graph theory can help us understand connections between bill sponsors in Congress, how statistics can highlight patterns in policing, and how applied algebraic topology can be used to study access to polling sites and equitable distribution of public resources.

Organizers:
Ranthony A.C. Edmonds, Duke University
AJ Stewart, AAAS Science and Technology Executive Fellow

Schedule

An Introduction to Quantitative Justice
8:00 a.m. - 8:20 a.m.
Ranthony A.C. Edmonds, Duke University
AJ Stewart, AAAS Science and Technology Executive Fellow

Quantifying Communities of Interest in Electoral Redistricting
8:30 a.m. - 8:50 a.m.
Parker Edwards, Florida Atlantic University

Topological and Geometric Methods in Redistricting
9:00 a.m. - 9:20 a.m.
Tom Needham, Florida State University

Topological Data Analysis of U.S. City Demographics
9:30 a.m. - 9:50 a.m.
Jakini Kauba, Clemson University

Accelerating and Scaling Community Centered Research
10:00 a.m. - 10:20 a.m.
Carrie Diaz-Eaton, Bates College

#Metamath: The Mathematics of Mathematics
10:30 a.m. - 10:50 a.m.
Ron Buckmire, Occidental College

Every summer, MAA MathFest presents the latest in mathematical research and education to diverse audiences across the nation. As the largest community of mathematicians, students, and enthusiasts, MAA is proud to bring an interactive, accessible, and informative experience to you this year.