Much of my work focuses on the people who deliver public services: how to attract them, how to support them, and how AI can help public managers make better decisions. I run the field studies inside the public organizations that face the problem. The findings have been cited by the Joint Research Centre of the European Commission, the OECD, the World Bank and the Danish Government Commission on Healthcare.
My research uses large-scale field experiments and causal inference methods. It focuses on the following topics:
- Recruiting, selecting, and retaining the public workforce
- The role of artificial intelligence (AI) in public policy and government
- The motivation of citizens to contribute to public goods
Recent publications
Selected research projects
Citizen trust in AI government. Project TRUST-AI delivers crucial new knowledge to guide a responsible implementation of AI, one that builds and secures citizen trust (DFF – Independent Research Fund Denmark, 6.3 Mio DKK, Co-Principal Investigator together with PI Mogens Jin Pedersen).
Megastudy on Recruitment. Project MORE researches how to sustainably recruit, select, and retain skilled international nursing staff (Carlsberg Foundation, 9.1 Mio DKK, Work-package lead together with PI Christian B. Jacobsen and Diana Galos).
CV and publication list
Profiles
Contact
Department of Political Science, Aarhus UniversityBartholins Allé 7, Building 1340
8000 Aarhus C, Denmark