This colloquium offers an opportunity to discuss recent and ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science.The colloquium features invited presentations from internal and external researchers as well as presentations of doctoral students close to submitting their dissertation research plan.

The digital transformation profoundly impacts humans and how they behave online and offline. Interactions in online social networks offer new opportunities (e.g., political movements, global cultural diffusion) and risks (e.g., fake news). In this seminar, we examine recent sociological and psychological research on how the digital transformation affects individuals and their social behaviors.

Humans are connected by various social relations. When aggregated, we speak of social networks. This course discusses how social networks are structured, how they change over time and how they affect the individuals that they connect. It integrates social theory with practical knowledge of cutting-edge statistical methods and applications from a number of scientific disciplines.

Social Network Science is a distinct domain of data science that focuses on relational systems. Various models have been proposed to describe structures and dynamics of networks, including statistical and mathematical methods. In this course, the emphasis is placed on the statistical analysis of (social) systems and their connection to social theories and data sources.

Study project involving network data in a selected field.