The Trusted Synthetic Health Data & Federated Analytics Masterclass brings together researchers, policymakers, data custodians, clinicians, and technical experts to build shared capability in the responsible use of synthetic health data. The series responds to growing demand for safe, ethical, and practical ways to accelerate data-driven health innovation while maintaining public trust.

Across the program, participants explore how synthetic data can be used to prototype analyses, test pipelines, and support workforce development without exposing sensitive real-world data. The masterclasses focus on understanding when synthetic data is appropriate, and how trade-offs between data utility and privacy can be navigated with confidence.

A strong emphasis is placed on governance, ethics, and social licence. Participants engage with contemporary governance frameworks, privacy-preserving analytics, and federated data ecosystem models that enable collaboration across institutions and jurisdictions.

Delivered in partnership with leading Australian universities and international experts from Swansea University and the SAIL Databank, the series is designed to strengthen cross-sector dialogue and equip participants with insights they can apply directly in research, policy, and service settings.