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.


In 2022, Fariba together with a team of international researchers was awarded an EU Horizon grant to study multi-criteria fairness in AI systems. In 2023, she received the Young Scientist Award from the German Physical Society for her research on inequality in complex networks.


Since January 2023, Fariba has also been an assistant professor at TU Wien.