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Algorithmic crime prevention. From abstract police to precision policing
Simon Egbert1, Elena Esposito1,2
1Faculty of Sociology, Bielefeld University, Bielefeld, Germany.
Policing & Society
|July 8, 2024
Summary
Digital technologies in policing enhance precision without distancing officers from communities. Algorithmic tools can improve crime prevention and collaboration through contextual reference and innovative precision policing strategies.
Area of Science:
- Criminology
- Sociology of Technology
- Public Administration
Background:
- Societal digitization influences policing, leading to increased use of algorithmic tools.
- The 'abstract police' debate posits that advanced technology distances officers from communities.
Purpose of the Study:
- To analyze police practices using digital technologies for precision.
- To investigate whether abstract technological procedures in policing lead to detachment from local context and community contact.
Main Methods:
- Empirical investigation of a geo-analysis unit in a German Land Office of Criminal Investigation.
- Analysis of police practices involving digital technologies and algorithmic procedures.
Main Results:
- The adoption of abstract procedures does not necessarily imply detachment from local reference and community contact.
- Contextual reference can be effectively combined with impersonal algorithmic procedures.
- This combination leads to more effective collaboration with local entities.
Conclusions:
- Digitalization of police work requires a nuanced understanding.
- Digital techniques can enable innovative forms of 'precision policing' and crime prevention.
- Technology can enhance, rather than hinder, community policing and collaboration.
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