Fariba Karimi

Fariba Karimi leads the research team on Algorithmic Fairness at the Complexity Science Hub. Fariba’s research focuses on computational social science, the emergence of biases and inequality in networks and algorithms, and modelling human behaviour. Her recent research revolves around the topics of the visibility of minorities in social networks, the impact of network structure on ranking and recommender algorithms, and disparities in academia and their impact on under-represented groups. She combines statistical analyses of large datasets of online interactions with computational models, agent-based modelling, and network analysis.

Fariba is a former IceLab member. She received a PhD in physics and computational science from Umea University, in Sweden, in 2015.

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