Friso Selten
- Name
- F.J. Selten MSc
- ORCID iD
- 0000-0002-6155-6569
Friso Selten is a Ph.D. candidate in the SAILS project. In this interdisciplinary research project, a collaboration between the Institute of Public Administration, Advanced Computer Science, and eLaw, he investigates the digital transformation of public organisations, with a focus on the J&V-domain.
More information about Friso Selten
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Friso Selten is a Ph.D. candidate in the SAILS project. In this interdisciplinary research project, a collaboration between the Institute of Public Administration, Advanced Computer Science, and eLaw, he investigates the use of Artificial Intelligence by public organisations.
Before starting this position, he obtained a research master's in Public Administration at Utrecht University (2019-2021), a master's in Data Science at the University of Amsterdam (2018-2019), and a bachelor’s degree in Public Administration at Utrecht University (2014-2017).
- Selten F. (2026), Explore and integrate: how digital innovation units enable local government digital transformation, Public Management Review : 1-30.
- Selten F., Lake D., Giest S., Ingrams A. & Klievink B. (2026), Wanneer modellen beleid dragen: Een gespreksinstrument voor legitiem en verantwoord modelgebruik in beleid en uitvoering. Den Haag: Tweede Kamer der Staten-Generaal.
- Selten F.J. & Klievink A.J. (2024), Organizing public sector AI adoption: navigating between separation and integration, Government Information Quarterly 41(1): 101885.
- Selten F., Robeer M. & Grimmelikhuijsen S. (2023), ‘Just like I thought’: street‐level bureaucrats trust AI recommendations if they confirm their professional judgment, Public Administration Review 83(2): 263-278.