This chapter investigates the temporal modalities of predictive policing. It argues that there is a considerable rift between the technoscientific imaginaries of automation, real-time situational awareness, and maximum responsiveness on the one hand, and the static ways in which police departments practice algorithmic crime analysis on the other. Due to the asynchronicity between crime and police work, the police consider it sufficient to analyze crime data only once per day and work with the resulting risk estimates for up to seven days. Such temporal practices decisively undercut narratives of operational flexibility vis-à-vis a supposedly dynamic threat environment. Overall, so this chapter claims, the temporalities of predictive policin...
Data-driven approaches are gaining in importance in our current digital society. In criminology, thi...
As the Commissioners of Police in mid-19th century England illustrate above, the prevention of crime...
Predictive policing is changing law enforcement. New place-based predictive analytic technologies al...
In this book, Simon Egbert and CSS’ Matthias Leese explore how predictive policing transforms police...
For several years now, crime prediction software operating on the basis of data analysis and algorit...
Egbert S, Leese M. Criminal Futures. Routledge Studies in Policing and Society. 1st ed. London: Rou...
In numerous police departments in German-speaking countries, algorithmic-supported prediction techno...
This book explores how predictive policing transforms police work. Police departments around the wor...
In the course of digitalisation, predictive algorithms are used in many organisations. The article ...
The goal of predictive policing is to forecast where and when crimes will take place in the future. ...
Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime ...
Predictive policing lies at the intersection of a diachronic paradox between the innovativeness of a...
With their extensive study on predictive policing, Egbert & Leese (2021) offer an important contribu...
Egbert S. Predictive Policing and the Platformization of Police Work. Surveillance & Society. 20...
The goal of this article is to provide a reference manual for those who are interested in writing on...
Data-driven approaches are gaining in importance in our current digital society. In criminology, thi...
As the Commissioners of Police in mid-19th century England illustrate above, the prevention of crime...
Predictive policing is changing law enforcement. New place-based predictive analytic technologies al...
In this book, Simon Egbert and CSS’ Matthias Leese explore how predictive policing transforms police...
For several years now, crime prediction software operating on the basis of data analysis and algorit...
Egbert S, Leese M. Criminal Futures. Routledge Studies in Policing and Society. 1st ed. London: Rou...
In numerous police departments in German-speaking countries, algorithmic-supported prediction techno...
This book explores how predictive policing transforms police work. Police departments around the wor...
In the course of digitalisation, predictive algorithms are used in many organisations. The article ...
The goal of predictive policing is to forecast where and when crimes will take place in the future. ...
Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime ...
Predictive policing lies at the intersection of a diachronic paradox between the innovativeness of a...
With their extensive study on predictive policing, Egbert & Leese (2021) offer an important contribu...
Egbert S. Predictive Policing and the Platformization of Police Work. Surveillance & Society. 20...
The goal of this article is to provide a reference manual for those who are interested in writing on...
Data-driven approaches are gaining in importance in our current digital society. In criminology, thi...
As the Commissioners of Police in mid-19th century England illustrate above, the prevention of crime...
Predictive policing is changing law enforcement. New place-based predictive analytic technologies al...