This is a lecture from Colloquium Series Department 1.

Starting from the premise of the temporal embeddedness of knowledge in social and material conditions, the BMBF-funded ModelSEN project develops quantitative methods in the field of historical network research, and digital humanities to support a wide range of case studies, from the history of general relativity, over historical letter networks, to the defusion of statistical methods in biology, and more. In this presentation, the three main focus points of the project: community building, numerical and structural methods, and agent-based modeling will be introduced with examples and results by members of the project. Results include a project compendium as a way to collect tutorials and best-practice approaches to the developed methods, the continuous development of software tools to support reproducible science and make the underlying assumptions, for example, on sources and model building transparent, and the development of teaching resources for the developed methods.