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Artikel

Hoe SyRI het belang van transparantie ­onderstreept

Tijdschrift Beleid en Maatschappij, Aflevering 3 2021
Trefwoorden SyRI, digitisation, transparency, trust, ICT
Auteurs Tosja Selbach en Barbara Brink
SamenvattingAuteursinformatie

    The Dutch digital fraud detection system SyRI was announced to set up to detect social security fraud quickly and effectively and by doing so, maintain support for the social security system. It was the formal position that for the sake of effectiveness, no information about the algorithm and very limited information about the application of the system should be shared. The authors argue on the basis of a policy analysis, a legal exploration and a literature study that the lack of transparency about the chosen method and the application of the digital fraud detection system in social security can have far-reaching consequences for both the individual and society . The information sharing and the use of algorithms can lead to suspicion of and declining confidence in the government, and a reduced motivation to comply with the prevailing rules. This could undermine the original purpose.


Tosja Selbach
Mr. Tosja Selbach is voormalig LLM-student governance and law in digital society, Rijksuniversiteit Groningen.

Barbara Brink
Dr. Barbara Brink is postdoc-onderzoeker socialezekerheidsbeleid, vakgroep Staatsrecht, Bestuursrecht en Bestuurskunde aan de Rijksuniversiteit Groningen.
Artikel

Access_open ‘Garbage in, garbage out’

Over predictive policing en vuile data

Tijdschrift Beleid en Maatschappij, Aflevering 3 2020
Trefwoorden dirty data, predictive policing, CAS, discrimination, ethnic profiling
Auteurs Mr. Abhijit Das en Mr. dr. Marc Schuilenburg
SamenvattingAuteursinformatie

    Predictive tools as instruments for understanding and responding to risky behaviour as early as possible are increasingly becoming a normal feature in local and state agencies. A risk that arises from the implementation of these predictive tools is the problem of dirty data. The input of incorrect or illegally obtained information (‘dirty data’) can influence the quality of the predictions used by local and state agencies, such as the police. The article focuses on the risks of dirty data in predictive policing by the Dutch Police. It describes the possibilities to prevent dirty data from being used in predictive policing tools, such as the Criminality Anticipation System (CAS). It concludes by emphasizing the importance of transparency for any serious solution looking to eliminate the use of dirty data in predictive policing.


Mr. Abhijit Das
Mr. Abhijit Das is docent/onderzoeker straf(proces)recht aan de afdeling Strafrecht en Criminologie van de Vrije Universiteit Amsterdam.

Mr. dr. Marc Schuilenburg
Mr. dr. Marc Schuilenburg is universitair docent criminologie aan de afdeling Strafrecht en Criminologie van de Vrije Universiteit Amsterdam.
Artikel

Access_open Sociaal werk in stadswijken waar problemen zich opstapelen

Tijdschrift Beleid en Maatschappij, Aflevering 3 2019
Trefwoorden Residualisering, Stedelijk sociaal werk, Concentratie van sociale problematiek, Link work, Geuzenveld
Auteurs Dr. Saskia Welschen en Dr. Lex Veldboer
SamenvattingAuteursinformatie

    The impact of residualisation on social work has so far hardly been explored. Based on existing literature and recently started empirical research in Amsterdam we analyze several consequences. Residualisation refers to the process whereby urban social housing is strictly allocated to the lowest income groups. What does this concentration of disadvantaged households mean for the role of social workers? Firstly, for community workers residualisation mostly implies a renewed role as instigators of residents’ participation in urban renewal trajectories for social mix. Furthermore community activities are increasingly used to offer safe havens for new and old groups of residents and also to prevent expensive treatments for several residential groups. For social workers focusing on individual support or casework residualisation results in an increasingly complex caseload. Residualisation does not imply extra formation for social work, but rather extra attention for the effortful coproduction of welfare between formal and informal actors. Within this playing field, we distinguish link work as vital for both formal and informal social work. Link work is about establishing vertical and horizontal connections between different worlds, across sectoral, professional or trust gaps. We expect that in areas of residualisation successful urban social work is dependent on strong linking skills.


Dr. Saskia Welschen
Dr. Saskia Welschen is senior onderzoeker aan de Hogeschool van Amsterdam en zelfstandig onderzoeker.

Dr. Lex Veldboer
Dr. Lex Veldboer is lector aan de Hogeschool van Amsterdam.
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