https://ymammeri.perso.math.cnrs.fr/
Title: Mathematical modeling of disease prevention with psychosocial factors by integrating game theory
Abstract: In this project, a group of 5-6 students will collaboratively develop mathematical models that incorporate psychosocial factors and strategic behavior in disease prevention. Using differential equations coupled with game theory, the team will explore how individuals’ decisions, driven by risk perception, motivation, and social influences, affect prevention measures like screening and lifestyle choices. The project will also introduce Physics-Informed Neural Networks as a modern tool to calibrate and refine the models using real-world data. This hands-on experience aims to equip students with interdisciplinary skills at the crossroads of mathematical modeling, behavioral science, and machine learning, preparing them for cutting-edge research in health sciences.
Prerequisites:
· Basic knowledge of ordinary differential equations,
· Familiarity with concepts of game theory (or willingness to learn),
· Interest in interdisciplinary applications involving mathematics, biology, and psychology,
· No prior experience in biology or neural networks required.
Group members
Mona ZEVIKA
Preeti DEOLIA
Zython Paul LACHICA
Jayrah Bena RIÑON
Wanchai BUNTHA
Grace Shelda LABRADOR
Maria Yulita TRIDA TAHU