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Simulating Different Viruses Through Computer-Coded Simulations

CSEF · 2026 Mathematical Sciences (Junior Division)

Atharv Arsid

Overview

This project explores the simplified question: “How can we use computer model variables to predict the effectiveness of social distancing compliance using autonomous dotted agents to simulate conditions in high-risk communities?” by developing and analyzing results from an Agent-Based Model (ABM). By running an IDE extension of Python (PyCharm), the simulation models a digital community of autonomous agents that mimic real-world interactions, distancing, and viral transmission within a computerized environment. Utilizing this tool would enable us to confirm the efficiency of computer models in the field of Microbiology, and could serve as a stepping stone for advanced viral prediction chains.

Competition history

  • CSEF 2026 Mathematical Sciences (Junior Division) · Entry J-14-15

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