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 lecturers.
Deadline for applications: 10th March 2017.