| KEYWORD |
Game-theoretic modeling of human behavior during epidemics
keywords EPIDEMIC SPREADING, GAME THEORY, NETWORKS THEORY
Reference persons ALESSANDRO RIZZO
External reference persons Dr. Lorenzo Zino, University of Groningen, The Netherlands
Thesis type SIMULATION, THEORETICAL STUDY
Description The adoption of appropriate behaviors by the individuals in a population crucially shapes the spread of epidemic diseases, from airborne diseases to sexually-transmitted infections. Game theory provides powerful tools to model these individuals’ decision-making mechanisms. This project will develop a game-theoretic framework to model human behavior during epidemics and study it by means both with theoretic tools and numerical simulations. For a reference about the approach, please consult the linked paper
See also https://arxiv.org/abs/2008.01971
Required skills - Basic knowledge of networks, dynamical systems, and game theory
- Basic computational skills
- Familiarity with epidemic models constitutes a plus
Deadline 31/05/2022
PROPONI LA TUA CANDIDATURA