2 years Post-Doctoral position at LPTM, CNRS-CY Cergy-Paris University (Paris region, France). Modeling opinion dynamics under cognitive biases.

The role of cognitive biases on the dynamics of opinion formation and diffusion at large scale. This position is open in the framework of the ANR project From individual cognitive biases to collective drifts on on-line social networks, (COBCOD) https://iscpif.fr/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. Moreover, we aim to find strategies for mitigating these effects and test them through models and experiments. To achieve these objectives, the synergy of multiple approaches is essential, including individual-based modeling, complex computer simulations using both standard and generative agent-based models (ABM and G-ABM) to study the effects of biased agents in online networks, theoretical analysis of emergent phenomena, large-scale social network data analysis, online experiments with volunteer users, and fully controlled laboratory experiments. See attached file for more details on the application procedure.