Post-Grant Reports

Title

Student-Faculty Collaborative Research Grant Report

Document Type

Report

Publication Date

2-11-2021

Disciplines

Biological and Chemical Physics | Disease Modeling | Physics

Abstract

Complexity is the study of unexpected order or “phenomena which emerge from a collection of interacting objects.”1 There are many natural systems that have been studied with the complexity lens: earthquakes, neuronal activity, protein folding, insect swarms, and forest fires. My research over the past few years has focused on computationally modeling fly swarms. This past year, the coronavirus pandemic and the role that computational modeling plays in managing the pandemic caused me to switch my research topic to modeling infectious disease propagation. While different from fly swarms, infectious diseases at the population level form a system with similar complexity.

1 Johnson, Neil F., "Chapter 1: Two's company, three is complexity,” Simply complexity: A clear guide to complexity theory, Oneworld Publications (2009)

Comments

This research was conducted as part of a Linfield University Student-Faculty Collaborative Research Grant in 2020, funded by the Office of Academic Affairs.

Student collaborators were Joseph Simpson and Joseph Overstreet.

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