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Computational Social Science

CSS develops algorithms and novel, non-obtrusive methods for the social sciences based on state-of-the-art approaches from the domains of machine learning, data mining and network analysis. Current projects focus on the quantitative analysis of political electoral processes and dynamics based on social media data as well as the quantitative analysis of other social processes in social media or log data.

JProf. Dr. Claudia Wagner

B 006
clwagner@uni-koblenz.de

Dr. Florian Lemmerich

florian@lemmerich.net