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BIGDATPOL: Big data policing in Europe

Authors: Hardyns, Wim; Snaphaan, Thom; Khalfa, Robin; Theinert, Naomi; Claessens, Inge;

BIGDATPOL: Big data policing in Europe

Abstract

The BIGDATPOL research group is an ambitious team led by Prof. Dr. Wim Hardyns at the Department of Criminology, Criminal Law, and Social Law of Ghent University. The European Research Council awarded Prof. Dr. Hardyns a prestigious ERC Consolidator Grant (funded by the European Union; ERC, BIGDATPOL, 101088156) to develop an evidence-based big data policing model that will be tested in several European cities. This groundbreaking research initiative addresses crucial gaps in the existing study of big data policing and will translate it into a European context. Knowledge and expertise in this field are currently dispersed, hindering the development of effective strategies. Moreover, interdisciplinary collaboration is essential for a comprehensive understanding of this complex issue, spanning statistical-methodological, criminological, economic, legal and ethical dimensions. Our approach is innovative and radically different from the existing initiatives, which often lack transparency. Our objective is to unite and integrate the statistical-methodological, criminological, economic, legal and ethical dimensions of big data policing in an evidence-based model that will be tested by different (quasi-)randomised controlled trials across various European cities and built on the principles of an international and interdisciplinary approach.

Country
Belgium
Related Organizations
Keywords

Big data policing, crime statistics, intelligence-led policing, methodology, spatiotemporal criminology, statistics, quasi-randomised controlled trials, law enforcement, predictive policing, ethical responsibility, Law and Political Science, crime mapping

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Fields of Science
Fields of Science
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