Cross-Cutting Topics: Analysing Data, Building Models, Constructing Theories
These strategic research areas are intertwined by three cross-cutting topics that represent Bielefeld University's signature approaches to conducting research: Analysing Data, Building Models, and Constructing Theories. The selection of these cross-cutting topics combines Bielefeld University?s traditional focus on theoretical and methodological questions with empirical approaches and the emerging field of Data Science. The cross-cutting topics form a common methodological baseline for all major research endeavours at the University, and all strategic research areas as well as all faculties and academic institutes use methods related to one or more of the cross-cutting topics and contribute to their further development. In this sense they serve as common denominators facilitating interdisciplinary dialogue and cooperation.
Involves all Central Academic Institutes and Other Academic Institutes
- Prominent institutional symbol: Center for Interdisciplinary Research (ZiF)
- Institute for Interdisciplinary Studies of Science (I²SoS)
- All involved central academic institutes and other academic institutes
- Data Science: Leading role regarding genome data and socio-economic data plus CRC 1288´s INF project