معرفی
Prof. Dr. Göran Kauermann is a Full Professor of Statistics at the Ludwig-Maximilians-University Munich, holding the Chair of Applied Statistics in Social Sciences, Economics and Business. His research spans nonparametric models, generalized linear models, and network data analysis, with applications in economics, epidemiology, and data science.
- Education: Diplom in Economic Mathematics (1991, TU Berlin), PhD in Statistics (1994), Habilitation (Venia Legendi) in Statistics (2000)
Kauermann’s research interests focus on penalized regression, network analysis, and statistical modeling in economics, social sciences, and public health. Recent work explores label uncertainty in machine learning, spatio-temporal conflict diffusion, and dynamic network models for economic and social data.
Scientific trends in his publications include penalized splines for nonlinear modeling, network flow estimation in social and economic contexts, and label variation analysis in machine learning. His collaborations span climate zone classification, Covid-19 mortality modeling, and smart city parking analytics.
- Scientific Awards:
- Bruce Russett Award (2020) for political network research
Leadership Roles: He served as Dean of the Faculty of Mathematics, Informatics and Statistics (2019–2021), Speaker of the Elite Master Program in Data Science (2016–2026), and Chair of the German Statistical Society (2005–2013). He also held editorial roles in journals like AStA Advances in Statistical Analysis and Statistical Modelling.
