معرفی
Måns Magnusson is an Associate Professor at the Department of Statistics, Uppsala University, with affiliations at the Institute for Analytical Sociology (Linköping University) and the Institute for Future Studies. His work bridges Bayesian statistics, probabilistic machine learning, and textual analysis, focusing on model evaluation, diagnostics, and inference algorithms. He contributes to computational social science and digital humanities through text-as-data methods.
- Research Themes: Bayesian inference, probabilistic machine learning, statistical inference from textual data
- Key Applications: Sociology, political science, law, education statistics, public health
- Current Projects: Improving probabilistic programming generalizability (Swedish Research Council grant), SWERIK research infrastructure (Riksbankens jubileumsfond)
His recent publications emphasize text mining, model comparison, and legal data challenges. He has developed tools for national ID number validation, hate crime estimation, and parliamentary corpus construction. Notable awards include the Cramér Prize (2018), Statistician of the Year (2023), and membership in the Swedish Young Academy (2023) and ELLIS (2024).
- Scientific Contributions: Botten Ada Bayesian election model, 'loo' package for cross-validation
- Collaborative Work: AI4Research sabbatical (2024), Riksbankens jubileumsfond funding
- Industry Background: Statistician roles at Swedish Agency for Education, Crime Prevention, and Public Health
