Predictive Policing and the Platformization of Police Work
Bibliographic Data
| ID | 12729905 |
|---|---|
| Authors | Sophia Egbert (0000-0002-3729-0393, Universität Hamburg, corresponding author), Simon Egbert |
| Year | 2019 |
| Volume | 17 |
| Issue | 1/2 |
| Pages | 83-88 |
| Publication date | 2019-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Surveillance & Society (JOURNAL) |
| Journal identifiers | ISSN: 1477-7487 • E-ISSN: 1477-7487 |
| Publisher | Surveillance Studies Network (PUBLISHER • GB) |
| DOI | 10.24908/ss.v17i1/2.12920 |
| OpenAlex | W2927380791 |
| Language | EN |
| Citations received | 36 |
| References cited | 3 |
Although the revolutionary potential of predictive policing has often been exaggerated, this novel policing strategy nonetheless implies something substantially new: the underlying methods of (crime) data analysis. Moreover, these police prediction tools matter not only because of their capacity to generate near-term crime predictions but also because they have the potential to generally enhance police-related data crunching, ultimately giving rise to the comprehensive datafication of police work, creating an ongoing drive for extensive data collection and, hence, surveillance. This paper argues that because of its enablement of crime data analysis in general, predictive policing software will be an important incubator for datafied police work, especially when executed via data mining platforms, because it has made police authorities aware that the massive amounts of crime data they possess are quite valuable and can now be easily analyzed. These data are perceived to be even more useful when combined with external data sets and when processed on the largest possible scale. Ultimately, significant transformative effects are to be expected for policing, especially in relation to data collection practices and surveillance imperatives
Big data · Computer security · Crime analysis · Criminology · Data collection · Data mining · Data science · Relation (database · Scale (ratio · Sociology · Transformative learning · Work (physics · Computer Science · Crime Patterns and Interventions · Engineering
Politik in der digitalen Gesellschaft
Politik in der digitalen Gesellschaft
Algorithmic governance
Data Justice and the Right to the City
Chapter 1 Predictive Policing
Big Data und Governance im digitalen Zeitalter
The New Positivism
WeChat‐as‐a‐Police Service
Data in Policing
Die „drohende Gefahr“ als Schlüsselbegriff einer Sekuritisierung des Rechts
Desiloization and its discontents
More than software vendors. The peculiar case of Palantir’s data integration platforms
Resistance to platformization
Citizens’ perspectives on platformisation of police work
Data integration and analysis platforms as digital platforms
The role of data integration and analysis platforms in contemporary society
A world of Palantir – ontological politics in the Danish police’s POL-Intel
Organisation und digitale Technologien . Predictive Policing im organisationalen Kontext
Criminal Futures
Revanchism as American culture
Pred-Pol-Pov
Digital twins and the logistical mode of prediction
Datafication and the practice of intelligence production
Outsourcing the brains
Enacting criminal futures
The expansion of a police surveillance technology market within a crisis of legitimacy
The seer and the seen
Police Cloud
Staying in control of technology
Machine Learning and the Platformization of the Military
Platform Organizations and Fields
Platform NHS
Artificial intelligence and the state
In Palantir we trust? Regulation of data analysis platforms in public security
De la « safe city » aux dispositifs numériques de sécurité urbaine
The weather proxy
| Unique citing works | 36 |
|---|---|
| Citations per year | 5,14 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 34 |