Fariba Karimi

Fariba Karimi leads the Complexity Science Hub’s computational social science team.

Fariba received a PhD in physics and computational science from Umea University, in Sweden, in 2015 and was a PostDoc at GESIS – Leibniz Institute for Social Sciences, in Germany.

Fariba’s research focuses on computational social science, the emergence of biases and inequality in networks and algorithms, and modeling human behavior. Her recent research revolves around the topics of visibility of minorities in social networks, the impact of network structure on ranking and recommender algorithms, and disparities in academia and its impact on under-represented groups. She combines statistical analyses of large datasets of online interactions with computational models, agent-based modeling, and network analysis.