Mathematical Modeling in Law and Political Science: Learning from Public Health

Authors

William Butler, University of Central FloridaFollow

Mentor

Dr. Zhisheng Shuai

Abstract

This paper provides an overview of mathematical modeling in public health policy and recommends the teaching of mathematical models in other fields, like law and undergraduate political science studies. First, I describe various facets of public health in terms of their scope and goals. The complex nature of public health lends way to a description of mathematical modeling and the role it can serve. Various mathematical solution concepts are also provided, including the SIR model, reproductive number, and game theory. Finally, I explain why knowledge of simple models is beneficial for students in pre-professional programs in law and political science. While these models are a cornerstone for public policy and health, their analogies are not as common within undergraduate studies in law and political science. This research aims to support extensions of these models.

About the Author

William Butler graduated from the University of Central Florida with a Bachelor's of Science degree in Psychology (Pre-medicine) and minor in Writing and Rhetoric in May of 2015. He graduated with Latin honors and honors in the major. He currently works as a psychiatric intake coordinator at Florida Hospital and volunteers as an eligibility specialist at Grace Medical Home. He became interested in interdisciplinary topics through his writing coursework. He is currently applying to medical school.

Recommended Citation

Butler, William (2016) "Mathematical Modeling in Law and Political Science: Learning from Public Health," The Pegasus Review: UCF Undergraduate Research Journal: Vol. 8: Iss. 2, Article 4.
Available at: https://stars.library.ucf.edu/urj/vol8/iss2/4