Evidence on AI governance, trade policy, and cross-border regulation
Peer-reviewed projects, replicable methodology, openly accessible findings. If the policy question has measurable dimensions, it is in the catalogue.






Three domains, one methodology
AI Governance Frameworks
Regional Trade Agreements
Cross-Border Economic Friction
Mapping regulatory divergence across jurisdictions — where algorithmic governance rules conflict with existing trade commitments and where policy gaps are measurable.
Quantifying cross-border friction in current regional agreements — tariff schedules, non-tariff barriers, and the economic cost of unresolved rule-of-origin disputes.
Measuring where digital trade flows encounter regulatory asymmetry — customs classification of software, data localization mandates, and their documented effects on market access.


Findings translated into policy action
Each case study selects one documented policy outcome — a trade negotiation, a regulatory revision, a government decision — and traces the evidence chain that shaped it.
The underlying analysis remains intact. The summary makes it legible to a negotiator with forty-eight hours to prepare a position.
Working papers, reports, and data sets — catalogued by topic and region
All publications are openly accessible. Peer-reviewed working papers carry full methodology appendices. Data sets are available for independent replication.
