Summer School Series on Methods for Computational Social Science
July 24th – 29th 2017
The first summer school of this series focuses on methods for
capturing, analyzing and modeling digital trace data (e.g., click
streams, interaction networks, sequences of user activities). We have
invited outstanding keynote speakers and lecturers from different
disciplines that 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. We will offer full
financial support for up to 10 students (or early career researchers).
Students have to apply for the travel grants and a committee of
experts will select scholars based on academic excellence, financial
needs and diversity (e.g., gender, ethnic and disciplinary diversity).