Imagine a digital detective that can connect the dots between thousands of social media posts and sales records to find hidden criminal networks. It works like a giant family tree of bad actors, showing who is talking to whom and where stolen treasures are moving. This helps police catch art thieves before the items disappear into private collections forever.
Law enforcement agencies struggle with fragmented data and the complex, transnational nature of art theft. Criminals use social media and the web to move looted goods with low risk and high profit.
An interoperable AI-based Platform using Social Network Analysis (SNA) and knowledge graphs to identify criminal networks and their activities.
If you are a software provider dealing with complex financial crime patterns — this project developed an AI-based Platform that uses Social Network Analysis to identify organized criminal networks. This allows for better detection of money laundering linked to illicit goods.
If you are a verification service dealing with the risk of selling looted antiquities — this project developed a knowledge graph system that provides intelligence on the evolution of criminal networks. This reduces the risk of handling stolen cultural property.
If you are a tech integrator dealing with fragmented data at borders — this project developed an interoperable AI platform that boosts the operational capacity of Border Authorities. It helps identify high-risk shipments of cultural goods more accurately.
Based on available project data, no pricing or cost information is provided.
The project aims to develop a replicable strategy and an interoperable platform, suggesting a design intended for wide-scale use by Police and Customs authorities.
Based on available project data, specific licensing terms and IP ownership are not mentioned.
The project focuses on creating an interoperable AI-based Platform that leverages Social Network Analysis to provide intelligence to investigators.
The project period is from 2022-10-01 to 2025-09-30.
The consortium is heavily weighted toward practical application, with a 35% industry ratio and 10 SMEs. The inclusion of 4 Police authorities and 2 Border Agencies ensures that the AI platform is built for actual operational needs rather than just academic research. With 23 partners across 13 countries, the project has a strong transnational reach, which is critical for tackling the global nature of art trafficking.
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