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Summer School Series on Methods for Computational Social Science

Summer School Series on Methods for Computational Social Science

From July, 24.-29, 2017, Lisa Merten will be part of the Summer School Series on Methods for Computational Social Science teil. Organized by GESIS, Greenwich University, University of Southern California and Cornell University and supported by Volkswagen-Stiftung, the summer school focuses on methods for capturing, analyzing and modeling digital trace data (e.g., click streams, interaction networks, sequences of user activities). Outstanding keynote speakers and lecturers from different disciplines will teach different methods and show how digital trace data can be used to answer interesting research questions that are relevant for the social sciences and gain insights into social phenomena like prosocial behavior, consensus or mobility. Students will conduct small projects in which they will apply the newly learned methods and will be supervised by the lectureres.
For more information see:


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