Datacros III
@DatacrosIII
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#EU funded project | Developing an ethical AI-driven tool-box for boosting cross-border financial investigations on organised crime networks
Milan
Joined March 2022
How to strengthen the first line of defence of public investments โ local and contracting bodies โ in detecting collusion? Register for our training ๐ https://t.co/mUEapzpETP.
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The study applied ML to procurement data (2004โ2021) from 7 EU countries to design a generalisable detection model and extend the #DATACROS toolโs AI capabilities in the procurement domain.
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Manual reports and static red flags struggle to keep pace with evolving cartel strategies in public procurement. But #machinelearning offers a way forward to uncover collusion patterns, adapting to strategy shifts. Read the blogpost from our partner GTI: https://t.co/1W5LtsXKCf
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๐ก๏ธ Strengthening the frontline against organised crime, corruption, and fraud starts at the local level. At our training "๐ฃ๐ฟ๐ฒ๐๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐ฐ๐", experts will unpack risks, best practices, and solutions. See the agenda ๐ and register: https://t.co/mUEapzpETP
"Prevent & Detect โ How to early-detect organised crime infiltration, corruption & fraud" ๐
14 Nov | โฐ 10:30โ16:30 CET | ๐ป Online Training aimed at local or regional administrations and EU institutions engaged in procurement and compliance ๐ https://t.co/Bs7OIxQSas
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We will cover: ๐ป Risk analysis & open data ๐ป Whistleblowing and safeguards in public procurement ๐ป Due diligence best practices and tools ๐ป Social re-use of confiscated assets Organised by RE-ACT & @transcrime under project @DatacrosIII
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"Prevent & Detect โ How to early-detect organised crime infiltration, corruption & fraud" ๐
14 Nov | โฐ 10:30โ16:30 CET | ๐ป Online Training aimed at local or regional administrations and EU institutions engaged in procurement and compliance ๐ https://t.co/Bs7OIxQSas
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Are crypto and digital assets a blind spot for AML? Pseudonymous, borderless, cross-protocol transactions obscure the traceability of high-risk actors. Discover schemes and measures, and the value of the crypto-focused analytic modules we are developing: https://t.co/9WCTy9yY8P
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#Wastecrimes involve complex schemes, multiple actors, delayed visibility. At the @emeritus_EU final event, we presented Crime&techโs work on the phase-based investigative protocol, embedded in the #EMERITUS platform to support LEAs from first detection to formal investigation
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A preview of the multilingual guidelines we will publish, which, alongside dedicated training sessions, will help authorities, journalists, and civil society use #DATACROS and AI as tools to inform decisions, not as decision-makers.
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The blogposts analyses the key pillars for #ethicalAI: โช๏ธ Data quality, genuineness, relevance and appropriateness โช๏ธ Minimisation vs over-profiling โช๏ธ Necessity and proportionality โช๏ธ Human-centric approach and intellectual independence โช๏ธ Intelligibility and explainability
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With AI power to investigate organised and financial crime comes the duty to uphold ethical and legal standards. #DATACROS development follows privacy by design and by default, explained by M. Cร rpino - Legal, Ethics & Compliance Advisor at @transcrime: https://t.co/loVZYCO8im
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Hidden ownership. Cross-border structures. Obscured flows. Financial crime evolves, so must the tools. Since 2019 DATACROS has helped authorities trace complex networks. Phase 3 scales up with more partners, data sources, next-gen AI. Visit new website: https://t.co/tW94Xbths8
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This synergy between the three EU-funded projects proved promising: integrating a corporate crime risk-based approach into environmental crime investigations could lead to โ proactive and targeted investigative capabilities for โ intelligence-driven enforcement.
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Our study tested the @DatacrosIII & @kleptotrace risk-based tools on waste companies. The results? Red flags like ๐น irregular ownership structures ๐น links to mafia-influenced areas ๐น and to politically exposed persons may expose "dirty" companies hiding behind a legal facade.
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#WasteCrime isnโt just about illegal dumping. It often involves fraud, corruption, ML, organised crime. In Malaga, at a training organised by @emeritus_EU, we presented a study by @Crimetech2015-@transcrime, which applied corporate crime detection tools to the waste sector.
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An alliance spanning all 27 EU Member States, uniting: โข Research โข Tech companies โข Law Enforcement โข Financial Intelligence Units โข Asset Recovery Offices โข Anti-Corruption Authorities โข Competition Authorities โข Investigative journalists Funded by the @EU_Commission
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๐ย In 2019, we began as 4 orgs. Today, 23 partners have launched @DatacrosIII. At the Kick-off Meeting in Milan, hosted by @transcrime-@Unicatt, we outlined an ambitious 2 year plan: new data sources, AI features, investigations and training. More ๐ https://t.co/70GxgkLvCd
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The project is co-funded by the EU and led by @transcrime โ Universitร Cattolica del Sacro Cuore of Milan.
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๐น New AI features to detect anomalies in firms' ownership structures. ๐น Broader data integration across multiple sources and financial domains. ๐น Expanded cooperation and a consortium of 23 organisations. ๐น Improved accuracy. ๐น AI ethical and legal assessment and compliance.
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