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

Información del proyecto

BIGDATPOL

Identificador del acuerdo de subvención: 101088156

DOI

10.3030/101088156

Fecha de la firma de la CE 14 Abril 2023

Fecha de inicio 1 Septiembre 2023

Fecha de finalización 31 Agosto 2028

Financiado con arreglo a

• European Research Council (ERC)

Coste total

€ 1 972 500,00

Aportación de la UE

€ 1 972 500,00

Coordinado por

UNIVERSITEIT GENT
Belgium

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (8)

An algorithmic strategy for measuring police presence with GPS data

Autores: Robin Khalfa; Thom Snaphaan; Wim Hardyns
Publicado en: Crime Science, Edición 13, 2024, ISSN 2193-7680
Editor: Springer Nature
DOI: 10.21428/CB6AB371.C8C9F541

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

Autores: Robin Khalfa, Wim Hardyns
Publicado en: Evaluation Review, Edición 48, 2023, ISSN 0193-841X
Editor: 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.

Autores: Naomi Theinert, Thom Snaphaan, Robin Khalfa, Charlotte Vandenbrande, Marlies Sas, Wim Hardyns
Publicado en: European Journal of Policing Studies, Edición 8, 2025, ISSN 2034-760X
Editor: Koninklijke Boom uitgevers
DOI: 10.5553/EJPS.000036

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

Autores: Robin Khalfa; Naomi Theinert; Wim Hardyns
Publicado en: Computational Urban Science, 2025, ISSN 2730-6852
Editor: 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

Autores: Robin Khalfa, Wim Hardyns
Publicado en: Applied Spatial Analysis and Policy, Edición 18, 2025, ISSN 1874-463X
Editor: 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

Autores: Robin Khalfa, Thom Snaphaan, Rafael Prieto-Curiel, Wim Hardyns
Publicado en: Time & Society, 2025, ISSN 0961-463X
Editor: SAGE Publications
DOI: 10.1177/0961463X251358586

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

Autores: Robin Khalfa, Wim Hardyns
Publicado en: Applied Geography, Edición 185, 2025, ISSN 0143-6228
Editor: 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

Autores: Khalfa, Robin; Snaphaan, Thom; Wijsman, Oscar; Landman, Wouter; Hardyns, Wim
Publicado en: Tijdschrift voor Veiligheid, Edición 23, 2024, ISSN 1872-7948
Editor: Koninklijke Boom uitgevers
DOI: 10.5553/TVV/.000070

Book chapters (4)

Nieuwe Technologieën, Big Data En Politiewerk

Autores: Thom Snaphaan and Wim Hardyns
Publicado en: Technologische hulpmiddelen bij opdrachten van bestuurlijke en gerechtelijke politie, 2025, ISBN 9789057530630
Editor: 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

Autores: Naomi Theinert, Robin Khalfa, Wim Hardyns
Publicado en: Data protection, privacy and artificial intelligence, volume 17 : to govern or to be governed, that is the question, Edición 17, 2025
Editor: Bloomsbury Publishing

Big data en Community Oriented Policing : naar een geïntegreerde toekomst

Autores: Wim Hardyns, Marlies Sas, Charlotte Vandenbrande, Robin Khalfa
Publicado en: 2024
Editor: Politeia

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

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

Other (2)

Predicting Crime in Place and Time: Comparing Models, Spatial Context, Data and Interpretations. Doctoral Defence Booklet.

Autores: Wim Hardyns, Robin Khalfa
Publicado en: 2025
Editor: Ghent University

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

Autores: Wim Hardyns, Robin Khalfa
Publicado en: 2025
Editor: Ghent University

Thesis and dissertations (2)

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

Autores: Robin Khalfa
Publicado en: 2025
Editor: Ghent University

Predicting Crime in Place and Time : Comparing Models, Spatial Context, Data and Interpretations

Autores: Robin Khalfa
Publicado en: 2025
Editor: Ghent University