Walter J. Hernandez represented UK CBT at the UCL Computer Science Innovation Challenge, hosted by the UCL Centre for Sustainability and RealTech Innovation and powered by PGIM Real Estate.

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The proposal would turn a manual analysis of public on-ledger disclosure data into an open, agentic research instrument. It would classify cryptoasset type, protocol family, regulatory stance and risk vocabulary across large collections of blockchain-related documents.

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The idea builds on DLT-Corpus research led with Jiahua Xu and shows how open data and automated analysis can become practical infrastructure for researchers, regulators and industry.

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UK CBT thanks the organisers for providing a platform for evidence-led innovation at UCL Computer Science.

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