Searched for: author%3A%22Veenstra%2C+A.F.E.%22
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Susha, I. (author), van den Broek, T. (author), van Veenstra, A.F.E. (author), Linåker, J. (author)
With the open and big data movement in full swing, data sharing becomes more ubiquitous and more often crosses sectoral boundaries. The promise of data to help address societal issues and foster innovation requires public organizations to work together with businesses and researchers. Data collaboratives whereby actors collaborate to share and...
article 2023
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Diran, D.D.D. (author), Hoekstra, M. (author), van Veenstra, A.F.E. (author)
The potential of the use of data to help improve policymaking is increasingly recognized by governments, especially to address societal challenges. One of those societal challenges is the energy transition, which happens for a large part at the local government level. However, within the literature little is known about which type of...
conference paper 2022
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Georgieva, I.N. (author), Lazo, C.B. (author), Timan, T. (author), van Veenstra, A.F.E. (author)
In the field of AI ethics, after the introduction of ethical frameworks and the evaluation thereof, we seem to have arrived at a third wave in which the operationalisation of ethics is central. Operationalisation is required, since ethics frameworks are often not suited to be used by data scientists in the development of AI-based services or...
article 2022
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Hoekstra, M. (author), Chideock, C. (author), Bodea, G. (author), Bharosa, N. (author), Cave, J. (author), Kokkeler, B. (author), Omens, I. (author), van den Berg, A. (author), van Veenstra, A.F.E. (author), Alleweldt, F. (author)
book 2022
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van Veenstra, A.F.E. (author), Bodea, G. (author), Timan, T. (author), Misuraca, G. (author), van Noordt, C. (author)
To assess the social and economic impacts of Artificial Intelligence on public services,a methodology using a public value perspective was developed. This workshop aims to validate this methodology as well as to develop a roadmap for implementation of this methodology,including the identification of opportunities, threats, enablers and barriers.
conference paper 2021
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Diran, D.D.D. (author), van Veenstra, A.F.E. (author), Geerdink, T. (author)
report 2021
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Veenstra, A.F.E. (author), Timan, T. (author), Bodea, G. (author), Chideock, C.E. (author), Georgieva, I.N. (author), Lazo, C.B. (author), Theelen, M.A.H. (author)
Kunstmatige intelligentie (‘artificial intelligence’, AI) heeft de afgelopen jaren tot vele innovaties geleid. Daarom denken ook overheidsorganisaties na over hoe zij AI kunnen gebruiken voor maatschappelijke vraagstukken of het uitvoeren van overheidstaken. Zo kan AI worden ingezet voor algoritmische besluitvorming. Aan deze toepassing van AI...
report 2021
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Hoekstra, M. (author), Chideok, C.E. (author), Veenstra, A.F.E. (author)
public lecture 2021
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Veenstra, A.F.E. (author), Timan, T. (author), Bodea, G. (author), Chideock, C.E. (author), Georgieva, I.N. (author), Lazo, C.B. (author), Theelen, M.A.H. (author)
Artificial intelligence, or AI, has resulted in many innovations in recent years, prompting government organisations to consider how they too can use AI to address social issues or to improve their performance. AI can, for example, be used in algorithmic decision-making. There are also drawbacks to using AI in this way, however, one being the...
report 2021
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Diran, D.D.D. (author), van Veenstra, A.F.E. (author)
conference paper 2020
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Veenstra, A.F.E. (author), Grommé, F. (author), Djafari, S. (author)
Purpose – Public sector data analytics concerns the process of retrieving data, data analysis, publication of the results as well as re-using the data by government organizations to improve their operations and enhance public policy. This paper aims to explore the use of public sector data analytics in the Netherlands and the opportunities and...
article 2020
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van Veenstra, A.F.E. (author), Djafari, S. (author), Grommé, F. (author), Kotterink, B. (author), Baartmans, R.F.W. (author)
public lecture 2019
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van Veenstra, A.F.E. (author), Kotterink, B. (author)
conference paper 2017
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van den Broek, T.A. (author), van Veenstra, A.F.E. (author)
Big data is an important driver of disruptive innovation that may increase organizations' competitive advantage. To create innovative data combinations and decrease investments, big data is often shared among organizations, crossing organizational boundaries. However, these big data collaborations need to balance disruptive innovation and...
article 2017
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van Veenstra, A.F.E. (author)
report 2015
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Janssen, M. (author), van der Voort, H. (author), van Veenstra, A.F.E. (author)
Many large transformation projects do not result in the outcomes desired or envisioned by the stakeholders. This type of project is characterised by dynamics which are both caused by and result of uncertainties and unexpected behaviour. In this paper a complex adaptive system (CAS) view was adopted in order to better understand project dynamics...
article 2015
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Manshanden, W.J.J. (author), van Veenstra, A.F.E. (author), van der Horst, T.J.J. (author)
report 2015
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van Veenstra, A.F.E. (author), Esmeijer, J. (author), Bakker, T.P. (author), Kotterink, B. (author)
In 2050 woont 70% van de wereldbevolking in steden.1 Stedelijke gebieden zullen daarom nog belangrijker worden als centra voor economische ontwikkeling, kennis en creativiteit, maar ze worden ook vaak gekenmerkt als gebieden waarin sociale tweedeling plaatsvindt, waar armoede is als gevolg van werkloosheid en waar een grote aanslag wordt...
report 2014
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van den Broek, T.A. (author), Roosendaal, A.P.C. (author), van Veenstra, A.F.E. (author), van Nunen, A.M. (author)
Big data is expected to become a driver for economic growth, but this can only be achieved when services based on (big) data are accepted by citizens and consumers. In a recent policy brief, the Cabinet Office mentions trust as one of the three pillars (the others being transparency and control) for ePrivacy. As such, it is a requirement for...
report 2014
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Roosendaal, A.P.C. (author), van Lieshout, M.J. (author), van Veenstra, A.F.E. (author)
report 2014
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