Funded internship: "Introducing confirmation and in-group bias in opinion dynamics models"

This internship is part of the ANR project From individual cognitive biases to collective drifts on on-line social networks, (COBCOD) devoted to understand how cognitive biases are amplified and potentially altered through repeated online interactions. Specifically, we seek to identify the mechanisms driving the emergence of dynamic patterns unique to online environments and explore how these collective dynamics, in turn, influence individuals. A second objective of the project is to investigate strategies for mitigating these effects and test them through models and experiments.

During this internship the selected student will explore an agent-based model that incorporates the confirmation and the in-group bias along with the fuzziness in the choice of the discussion partners. After the determination of the model, informed by real world data, its dynamics will be explored by numerical simulations.

Starting date:  As soon as possible, from March 2026

Working place: Laboratoire de Physique Théorique et Modélisation LPTM CNRS-CY Cergy-Paris University, in the west of Paris

Contact:  Laura.Hernandez@cyu.fr