The science of art theft: using data to identify criminal patterns, 1990-2022

dc.contributor.authorClopés, Sandra
dc.contributor.authorBalcells, Marc
dc.date.accessioned2025-06-05T08:40:21Z
dc.date.available2025-06-05T08:40:21Z
dc.date.issued2025
dc.date.updated2025-06-05T08:40:21Z
dc.descriptionData de publicació electrònica: 16-4-2025
dc.description.abstractArt theft is still a crime surrounded by inaccuracies. From the perception of flashy fictional thieves to unintentionally misleading monetary claims, the general public and some art and security professionals have a distorted vision of the scope of the criminal enterprise. As there is an alarming lack of empirical studies into the matter, this study aims to remedy the issue through the elaboration of a database to find common characteristics and aspects of interest amongst multiple art heists from the last three decades to provide a better understanding of crucial theft traits such as defeated security measures, methods of deception, timing and target selection, use of weapons and insider participation impact. Results indicate thieves tend to use brute force to defeat security measures; diversions and deceptions are a standard, uniform trends are present in absolute timing matters, and neither the use of weapons nor insiders appears to be the norm.
dc.format.mimetypeapplication/pdf
dc.identifier.citationClopés S, Balcells M. The science of art theft: using data to identify criminal patterns, 1990-2022. International journal of cultural property. 2025;1-17 p. DOI: 10.1017/S0940739125000098
dc.identifier.doihttp://dx.doi.org/10.1017/S0940739125000098
dc.identifier.issn0940-7391
dc.identifier.urihttp://hdl.handle.net/10230/70620
dc.language.isoeng
dc.publisherCambridge University Press
dc.relation.ispartofInternational journal of cultural property. 2025;1-17 p.
dc.rights© The Author(s), 2025. Published by Cambridge University Press on behalf of International Cultural Property Society This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subject.keywordArt theft
dc.subject.keywordMuseum heists
dc.subject.keywordArt and cultural property crime
dc.subject.keywordRisk assessment
dc.titleThe science of art theft: using data to identify criminal patterns, 1990-2022
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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