IPS on The Mathematics Of Data Science - MAA MathFest 2023

Saturday, August 5, 2023
MAA MathFest 2023

MAA Invited Paper Session
The Mathematics of Data Science

The fundamentals of data science are drawn from mathematics, statistics, and computer science. However, there is a lack of clarity on what it actually means to be a data scientist and how to prepare students in data science. Given that real-world data lies in a context domain, the work of data science requires interdisciplinary domain expertise that may include the humanities, social sciences, and health sciences. To carry out the data lifecycle, the context domain must be considered throughout the data acquisition, analysis, and interpretation of findings. Even though many mathematical faculty have either taken or taught the ‘foundational courses’ in the fundamentals of data science, others may still be resistant to incorporating data science into their academic programs due to the myriad of challenges.

This session will feature mathematicians who will share how they are advancing data science teaching and research, along with their tools and applications. From developing academic programs to engaging students in culturally relevant data science, health informatics, sports analytics, etc., the session will demonstrate how mathematics catalyzes innovations. The presenters will showcase work being done across a range of academic institutions with industry partners from the mathematical perspective. We envision talks on probabilistic tools in data analytics for sports, complex systems and adaptive networks in data science, culturally responsive and justice-oriented approaches to teaching data science, and statistical tools in data analysis for quantitative social justice, among others. This session will also highlight the data science focus and anticipated findings of the February 2024 Special Issue of the American Mathematical Monthly, with Anna Haensch and Talitha Washington serving as Guest Editors.

Organizers:
Talitha Washington, Clark Atlanta University
Anna Haensch, Tufts University
Della Dumbaugh, University of Richmond

Schedule

A Bayesian Hierarchical Model for On-Demand Digital Media
3:30 p.m. - 3:50 p.m.
Kobi Abayomi, Seton Hall U and Gumbel Demand Acceleration

Mathematical Models in the Sociological Imagination
4:00 p.m. - 4:20 p.m.
Nathan Alexander, Morehouse College

Community-driven Data Science for Social Justice Research Practices
4:30 p.m. - 4:50 p.m.
Carrie Diaz Eaton, Bates College

Non- family Reason Internal Migration and Their Socio-economic Characteristics
5:00 p.m. - 5:20 p.m.
Binod Manandhar, Clark Atlanta University

The Role of Mathematics in Undergraduate Data Science Programs
5:30 p.m. - 5:50 p.m.
Talitha Washington, Clark Atlanta University and Atlanta University Center

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.