–Safety and governance: Governance will span the technology protocols, information management frameworks and safety. As requirements vary by region, local experts will contribute and adapt international templates to provide a trusted capability network. Each dataset within the federated system remains distinct in origin and governance. Analytical queries are designed to preserve this separation, applying weighting and quality control protocols so that no one dataset overrides another. Worker-generated data can be used to triangulate and validate system-level findings, ensuring that insights are grounded in lived experience while maintaining analytical balance. Each participant retains full ownership of their underlying data, algorithms and analytical models. The federated approach operates through query exchange, not data transfer, ensuring that proprietary intellectual property and commercial value remain fully protected. Commercially sensitive supplier information is also fully protected; the federated model enables every participating organization to keep control over what data is shared with whom. The Partnership’s Proof of Concept (POC) focuses on Thailand to test how federated systems can connect diverse, anonymized datasets securely and generate signals that may support prevention and enforcement. It is developed collaboratively with participating organizations and in alignment with national priorities and data protection standards. Why Thailand? Thailand’s leadership on fair recruitment and migrant worker protection offers strong foundation for innovation.26 The country is a key node in global supply chains, particularly in seafood, agriculture and manufacturing; it hosts millions of migrant workers and has developed a comprehensive set of labour laws, inspection systems and social dialogue mechanisms.27,28,29 Multiple public and private actors collect information on employment conditions, worker complaints and migration flows. This work aligns with Thailand’s commitment to ethical recruitment and responsible supply chain management, and it supports ongoing collaboration with the ILO, IOM and other international partners advancing decent work and digital transformation.30 The POC serves as a demonstration of technical and institutional feasibility, not final impact. It shows that trusted data collaboration can function securely in real conditions and can serve as a foundation for future scaling. Insights emerging from this work can also help refine the Partnership’s global design, informing how federated systems may operate responsibly across different contexts and with different stakeholders. Testing data federation in Thailand At this stage, access to the platform is limited to participating members of the Global Data Partnership Against Forced Labour. Participation is expected to expand in upcoming phases, as technical validation, governance and capacity building progress.2.4 Proof of Concept in Thailand Harnessing Data and Intelligence for Collective Advantage: Ending Forced Labour in Global Supply Chains 15

Harnessing Data and Intelligence for Collective Advantage 2026