Anne Fleur van Veenstra
What drives me is to enable our researchers to apply their knowledge and realise societal innovation.
TNO Vector is a transdisciplinary research centre that develops and applies key enabling methodologies for societal challenges. As Director of Science, I am responsible for the development of our knowledge portfolio. I maintain relationships with other knowledge institutes.
I am also professor by special appointment ‘governance of data and algorithm for urban policy’ at Leiden University. For more than twenty year, I have carried out research on public sector innovation and digitalisation, such as the use of artificial intelligence, and on regulation of digital technology.
Top publications
Susha, I., Broek, T. van den, Veenstra, A.F. van & Linåker, J. (2023) An ecosystem perspective on developing data collaboratives for addressing societal issues: The role of conveners. Government Information Quarterly, 40(1), 101763. doi: 10.1016/j.giq.2022.10763.
Georgieva, I., Lazo, C., Timan, T. & Veenstra, A.F. van (2022). From AI Ethics Principles to Data Science Practice: A reflection and a gap analysis based on recent frameworks and practical experience. AI and Ethics, 2(4), 697-711. doi: 10.1007/s43681-021-00127-3.
Veenstra, A.F. van & Timan, T. (2022). A Public Value Impact Assessment Framework for Digital Governance. In: Y. Charalabidis, L.S. Flak & G. Viale Pereira (eds.) Scientific Foundations of Digital Governance and Transformation, Public Administration and Information Technology (PAIT) 38, Cham, Switzerland: Springer, 189-216. doi: 10.1007/978-3-030-92945-9_9.
Veenstra, A.F. van, Grommé, F. & Djafari, S. (2021). The Use of Public Sector Data Analytics in The Netherlands. Transforming Government: People, Process and Policy 15(4), 396-419. doi: 10.1108/TG-09-2019-0095.
Broek, T.A. van den & Veenstra, A.F. van (2018). Governance of Big Data Collaborations: How to Balance Regulatory Compliance and Disruptive Innovation. Technological Forecasting & Social Change 129, 330-338. doi: 10.1016/j.techfore.2017.09.040.
Policy research
Hoekstra, M., Dom, L. & Veenstra, A.F. van (2024). Quickscan AI in de Publieke Dienstverlening III, TNO 2024 R11005, Steeds meer kunstmatige intelligentie ingezet door overheid (tno.nl); Groeiend gebruik van AI door de overheid • Nederlandse AI Coalitie (nlaic.com).
Berg, A. van den, Hoekstra, M. & Veenstra, A.F. van (2023). Systeemfuncties voor datagedreven werken in de publieke sector. TNO rapport 2023 R11425, Systeemfuncties voor datagedreven werken in de publieke sector | Rapport | Rijksoverheid.nl.
Hoekstra, M. et al. (2022). The Digital Single Market and the digitalisation of the public sector: GovTech and other innovations in public procurement. Study requested by the IMCO committee of the European Parliament, Policy Department for Economic, Scientific and Quality of Life Policies, Directorate-General for Internal Policies. May, The Digital Single Market and the digitalisation of the public sector - GovTech and other innovations in public procurement (At A Glance - Study In Focus) | Think Tank | European Parliament (europa.eu). doi: 10.2861/830794.
Timan, T., Veenstra, A.F. van & Bodea, G. (2021). Artificial Intelligence and public services. Briefing Requested by the AIDA Committee, European Parliament, ArtificiaI Intelligence and public services (europa.eu). doi: 10.2861/59813.
Diran, D., Veenstra, A.F. van, Timan, T., Testa, P. & Kirova, M. (2021). Artificial Intelligence in smart cities and urban mobility. Briefing Requested by the AIDA Committee, European Parliament, Artificial Intelligence in smart cities and urban mobility (europa.eu). doi: 10.2861/365810.