{"id":191,"date":"2026-05-07T15:44:23","date_gmt":"2026-05-07T15:44:23","guid":{"rendered":"https:\/\/brains.dnac.org\/2026\/?page_id=191"},"modified":"2026-05-07T16:35:08","modified_gmt":"2026-05-07T16:35:08","slug":"trace","status":"publish","type":"page","link":"https:\/\/brains.dnac.org\/2026\/trace\/","title":{"rendered":"TRACE"},"content":{"rendered":"

2nd Transparency, Regulation, and Analytics in Crypto-Asset Ecosystems workshop (TRACE) <\/span><\/h2>\n

Crypto-asset analytics plays a central role in ensuring trust, security, and regulatory\u00a0 compliance within increasingly complex decentralized ecosystems. While blockchain systems\u00a0 provide inherent transparency, the scale, heterogeneity, and cross-chain nature of transaction\u00a0 data \u2013 combined with the need to integrate off-chain information sources \u2013 often obscure\u00a0 actionable insights, necessitating advanced and interdisciplinary analytical frameworks.\u00a0<\/span><\/p>\n

The second edition of the TRACE (Transparency, Regulation, and Analytics in Crypto-Asset Ecosystems) workshop addresses key challenges at the intersection of blockchain forensics,\u00a0 compliance analytics, machine learning, economics, and law and regulation, with a particular\u00a0 focus on detecting financial crime \u2013 including money laundering, crypto scams, and fraud \u2013 and enabling reliable entity attribution and risk analysis across blockchain-based systems.\u00a0<\/span><\/p>\n

Core topics include on-chain (including cross-chain) data processing, graph- and network based transaction analysis, integration of off-chain intelligence to support attribution and risk\u00a0 assessment. The workshop further explores machine learning approaches for anomaly\u00a0 detection, RegTech solutions, DeFi attack vectors, smart contract security, and governance\u00a0 analytics. Contributions may also lie in the development of policy recommendations.\u00a0\u00a0<\/span><\/p>\n

Aligned with BRAINS 2026\u2019s mission, the second edition of the TRACE workshop provides a\u00a0 platform for interdisciplinary exchange, bridging academia, industry, and policymakers to\u00a0<\/span><\/p>\n

advance tools and frameworks for secure and trustworthy crypto-asset oversight. The program will feature peer-reviewed research, case studies, as well as two keynotes on (1) emerging\u00a0 trends in analytics and (2) the evolution of regulatory and compliance frameworks.\u00a0<\/span><\/p>\n

Topics<\/span> <\/b><\/p>\n

Topics of interest include, but are not limited to:\u00a0<\/span><\/p>\n

Blockchain forensics and data analytics\u00a0<\/b><\/span><\/p>\n