Research Integrity
Methods and governance that make research more transparent, reproducible, and accountable.
Institutional focus
Transparent computational research
Reproducible science
Data provenance and audit trails
Hybrid AI-human validation
Evidence-based policymaking
Why it matters
Weak documentation and unverifiable analysis can undermine scientific and policy decisions.
Policy relevance
Research integrity is a public-sector requirement when evidence supports regulation, funding, or programs.
Targeted AI connection
The Targeted AI validation layer is designed around documented assumptions and expert review.
Related publications
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