Towards an evidence-based model for big data policing: Evaluating the statistical-methodological, criminological and legal and ethical conditions

Informazioni relative al progetto

BIGDATPOL

ID dell’accordo di sovvenzione: 101088156

DOI

10.3030/101088156

Data della firma CE 14 Aprile 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2028

Finanziato da

• European Research Council (ERC)

Costo totale

€ 1 972 500,00

Contributo UE

€ 1 972 500,00

Coordinato da

UNIVERSITEIT GENT
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (8)

An algorithmic strategy for measuring police presence with GPS data

Autori: Robin Khalfa; Thom Snaphaan; Wim Hardyns
Pubblicato in: Crime Science, Numero 13, 2024, ISSN 2193-7680
Editore: Springer Nature
DOI: 10.21428/CB6AB371.C8C9F541

‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing

Autori: Robin Khalfa, Wim Hardyns
Pubblicato in: Evaluation Review, Numero 48, 2023, ISSN 0193-841X
Editore: SAGE Publications
DOI: 10.1177/0193841X231204588

Mapping Police Officers’ Anticipated Experiences and Attitudes Towards Place-Based Big Data Policing This work is co-funded by the European Union (ERC-2022-COG, BIGDATPOL, 101088156). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.

Autori: Naomi Theinert, Thom Snaphaan, Robin Khalfa, Charlotte Vandenbrande, Marlies Sas, Wim Hardyns
Pubblicato in: European Journal of Policing Studies, Numero 8, 2025, ISSN 2034-760X
Editore: Koninklijke Boom uitgevers
DOI: 10.5553/EJPS.000036

Comparing XAI techniques for interpreting short-term burglary predictions at micro-places

Autori: Robin Khalfa; Naomi Theinert; Wim Hardyns
Pubblicato in: Computational Urban Science, 2025, ISSN 2730-6852
Editore: Springer
DOI: 10.1007/S43762-025-00185-X

Comparing Machine Learning-Based Crime Predictions Across Micro-Geographic Units: Street Segments, Rectangular Grids, and Hexagonal Grids

Autori: Robin Khalfa, Wim Hardyns
Pubblicato in: Applied Spatial Analysis and Policy, Numero 18, 2025, ISSN 1874-463X
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S12061-025-09683-1

Does crime (n)ever skip a beat? Analyzing crime heartbeats in a European city

Autori: Robin Khalfa, Thom Snaphaan, Rafael Prieto-Curiel, Wim Hardyns
Pubblicato in: Time & Society, 2025, ISSN 0961-463X
Editore: SAGE Publications
DOI: 10.1177/0961463X251358586

On how population-at-risk estimates influence crime rates and predictions: Comparing residential and ambient-like estimates

Autori: Robin Khalfa, Wim Hardyns
Pubblicato in: Applied Geography, Numero 185, 2025, ISSN 0143-6228
Editore: Elsevier BV
DOI: 10.1016/J.APGEOG.2025.103780

Big data policing: de implicaties van digitalisering en maatschappelijke dataficatie voor de politiefunctie en het politiewerk

Autori: Khalfa, Robin; Snaphaan, Thom; Wijsman, Oscar; Landman, Wouter; Hardyns, Wim
Pubblicato in: Tijdschrift voor Veiligheid, Numero 23, 2024, ISSN 1872-7948
Editore: Koninklijke Boom uitgevers
DOI: 10.5553/TVV/.000070

Book chapters (4)

Nieuwe Technologieën, Big Data En Politiewerk

Autori: Thom Snaphaan and Wim Hardyns
Pubblicato in: Technologische hulpmiddelen bij opdrachten van bestuurlijke en gerechtelijke politie, 2025, ISBN 9789057530630
Editore: Vanden Broele

From Human Agency to Meaningful Human Oversight? Mapping the Opportunities and Pitfalls in the Decision-Making Process of Place-Based Big Data Policing

Autori: Naomi Theinert, Robin Khalfa, Wim Hardyns
Pubblicato in: Data protection, privacy and artificial intelligence, volume 17 : to govern or to be governed, that is the question, Numero 17, 2025
Editore: Bloomsbury Publishing

Big data en Community Oriented Policing : naar een geïntegreerde toekomst

Autori: Wim Hardyns, Marlies Sas, Charlotte Vandenbrande, Robin Khalfa
Pubblicato in: 2024
Editore: Politeia

Predicting Crime at Micro Places: Comparing Machine Learning Methods Across European Cities

Autori: Robin Khalfa, Thom Snaphaan, Alina Ristea, Ourania Kounadi, Wim Hardyns
Pubblicato in: Geotechnologies and the Environment, New Research in Crime Modeling and Mapping Using Geospatial Technologies, 2025, ISSN 2365-0575
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81580-5_5

Thesis and dissertations (1)

Predicting crime in place and time: comparing models, spatial context, data and interpretations

Autori: Robin Khalfa
Pubblicato in: 2025
Editore: Ghent University

Other (1)

Predicting crime in place and time: Comparing models, spatial context, data and interpretations. Doctoral Defence Booklet.

Autori: Wim Hardyns, Robin Khalfa
Pubblicato in: 2025
Editore: Ghent University