Mathematical analysis of evolutionary and computational dynamics
William Thompson, Professor
Psychology
Applications for Fall 2024 are closed for this project.
Formal theories of evolutionary dynamics in social networks (https://cocosci.princeton.edu/papers/hardy2023resampling.pdf, https://cocosci.princeton.edu/papers/hardy2022overcoming.pdf) offer powerful ways to understand how ideas spread and change over time, but often rely on simplifying assumptions about learning and reasoning by individuals during social learning. In this project, we are developing new models of evolutionary and computational dynamics in social networks that integrate recent advances in models of social reasoning developed in cognitive science.
Qualifications: Analysis of mathematical and computational models of learning in social networks. Implementation of analysis and simulations in Python or a similar programming framework. Visualization of evolutionary dynamics.
Hours: 6-8 hrs
Digital Humanities and Data Science Social Sciences