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

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• dc.contributor.author Clopés, Sandra
• dc.contributor.author Balcells, Marc
• dc.date.accessioned 2025-06-05T08:40:21Z
• dc.date.available 2025-06-05T08:40:21Z
• dc.date.issued 2025
• dc.date.updated 2025-06-05T08:40:21Z
• dc.description Data de publicació electrònica: 16-4-2025
• dc.description.abstract Art 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.mimetype application/pdf
• dc.identifier.citation Clopés 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.doi http://dx.doi.org/10.1017/S0940739125000098
• dc.identifier.issn 0940-7391
• dc.identifier.uri http://hdl.handle.net/10230/70620
• dc.language.iso eng
• dc.publisher Cambridge University Press
• dc.relation.ispartof International 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.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0
• dc.subject.keyword Art theft
• dc.subject.keyword Museum heists
• dc.subject.keyword Art and cultural property crime
• dc.subject.keyword Risk assessment
• dc.title The science of art theft: using data to identify criminal patterns, 1990-2022
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion