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Algorithmization of Bureaucratic Organizations: Using a Practice Lens to Study How Context Shapes Predictive Policing Systems
Public Administration Review ( IF 8.144 ) Pub Date : 2021-04-10 , DOI: 10.1111/puar.13391
Albert Meijer 1 , Lukas Lorenz 1 , Martijn Wessels 2
Affiliation  

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.

中文翻译:

官僚组织的算法化:使用实践视角研究环境如何塑造预测警务系统

当前关于公共部门算法的科学辩论主要集中在技术而非组织模式上。本文通过研究官僚组织的算法化来扩展我们对这些模式的理解,这是一个组织围绕算法的使用重新安排其工作程序的过程。为了探索官僚组织的算法化,我们通过深入的定性研究对柏林(德国)和阿姆斯特丹(荷兰)的预测性警务进行了比较实证分析。我们的研究确定了两种新兴模式:“算法笼”(柏林,更多层次控制)和“算法同事”(阿姆斯特丹,专业判断空间)。这些模式源于行政文化并强化了现有的组织模式。该研究强调,可以确定政府官僚机构的两种算法化模式,这些模式取决于主要的社会规范和解释,而不是算法系统的技术特征。
更新日期:2021-04-10
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