Summary
Carsten Schwemmer is a Professor of Computational Social Science with 11 years of experience applying NLP, computer vision, data mining and software development to social science questions. He leads research and teaching at LMU Munich after senior roles at GESIS, Princeton and multiple German universities, bridging methodological rigor with practical data infrastructure. His PhD (summa cum laude) and background in sociology with computer science specialization enable him to translate complex social theories into scalable computational workflows. Carsten’s work spans academic leadership, team building and hands-on programming for network and text analysis, reflecting sustained engagement from student assistant roles to full professorship. He is based in Nuremberg and known for combining empirical sociological insight with reproducible, production-oriented research tools. Unusually for an academic, he balances high-level theory with repeated stints building data-generation and analysis pipelines across research institutes.
11 years of coding experience
6 years of employment as a software developer
Dr. rer. pol. (PhD), Computational Social Science, summa cum laude (with highest praise), Dr. rer. pol. (PhD), Computational Social Science, summa cum laude (with highest praise) at Otto-Friedrich-Universität Bamberg
English, German, French