Algorithmization of Bureaucratic Organizations: Using a Practice Lens to Study How Context Shapes Predictive Policing Systems.

The current scientific debate on algorithms in the public sector is dominated by a focus on technology rather than organizational patterns. This paper extends our understanding of these patterns by studying the algorithmization of bureaucratic organizations, which is the process in which an organiza...

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Publicado en:Public Administration Review Vol. 81; no. 5; pp. 837 - 847
Autores principales: Meijer, Albert, Lorenz, Lukas, Wessels, Martijn
Formato: Artículo
Publicado: Wiley-Blackwell Sep2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2021
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        atl: Algorithmization of Bureaucratic Organizations: Using a Practice Lens to Study How Context Shapes Predictive Policing Systems.
      aug:
        au:
          Meijer, Albert
          Lorenz, Lukas
          Wessels, Martijn
        affil:
          Utrecht University School of Governance
          TNO
      su:
        Berlin (Germany)
        Amsterdam (Netherlands)
        Crime forecasting
        Law enforcement
        Bureaucracy
        Algorithms
      sug:
        subj:
          Crime forecasting
          Law enforcement
          Bureaucracy
          Berlin (Germany)
          Amsterdam (Netherlands)
          Other Justice, Public Order, and Safety Activities
          Police Protection
          Algorithms
      ab: The current scientific debate on algorithms in the public sector is dominated by a focus on technology rather than organizational patterns. This paper extends our understanding of these patterns by studying the algorithmization of bureaucratic organizations, which is the process in which an organization rearranges its working routines around the use of algorithms. To explore the algorithmization of bureaucratic organizations, we conducted a comparative empirical analysis of predictive policing in Berlin (Germany) and Amsterdam (Netherlands) through in‐depth qualitative research. Our study identified two emergent patterns: the 'algorithmic cage' (Berlin, more hierarchical control) and the 'algorithmic colleague' (Amsterdam, room for professional judgment). These patterns result from administrative cultures and reinforce existing patterns of organization. The study highlights that two patterns of algorithmization of government bureaucracy can be identified and that these patterns depend on dominant social norms and interpretations rather than the technological features of algorithmic systems.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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