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artifacts developed in previous tasks and ensures systematic model improvement over time. The work plan includes: Automated Dataset Expansion (Month 1) Implement mechanisms to collect and track secure and
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economic rewards. Its stake-weighted scoring mechanism addresses the cold-start problem, enabling new participants to signal credibility through initial token commitments. Moreover, DRIFT’s attestation
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for Responsible AI – Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 26-Feb to 12-March
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, entity resolution, unit/format normalisation, and metadata enrichment. 3. Quality and traceability: implement mechanisms for provenance, confidence scoring, and human-in-the-loop review. 4. Validation
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harmonisation tasks such as field mapping, entity resolution, unit/format normalisation, and metadata enrichment. 3. Quality and traceability: implement mechanisms for provenance, confidence scoring, and human-in