About

How can Australia accelerate data-driven health innovation while maintaining privacy, trust, and social licence?

Join a two-day Trusted Synthetic Health Data & Federated Analytics Masterclass that brings together national and international experts from Swansea University (UK), to explore practical, ethical, and scalable approaches to using synthetic health data and federated analytics across research, policy, digital health, and health system innovation. 

Combining hands-on technical learning with deep discussion of governance, ethics, and public trust, this Masterclass supports Australia’s growing demand for timely, efficient, interoperable, and privacy preserving data capabilities supported by appropriate governance that meets legal, ethical, and social licence expectations.

These foundations are essential to unlock health data for research, health system planning, digital health innovation, education and cross-sector collaboration.

 

Benefits of attending

  • Build practical, cross-sector capability in synthetic health data, federated data ecosystems, common data models, and privacy preserving computation.

  • Understand the appropriate use of low and high-fidelity synthetic data across research health service analytics, policy, innovation, and workforce training.

  • Develop a shared understanding of ethics, governance, and social licence, including the distinct roles of consumers, data custodians, policymakers, and technical experts.

  • Explore how synthetic data enables safe data access, collaboration, and innovation within federated and Trusted Research Environment (TRE) models.

  • Learn from UK and Australian case studies to inform realistic, locally relevant implementation pathways.

  • Strengthen cross-sector dialogue and collaboration between researchers, clinicians, health consumers, data scientists, innovators and policymakers.

 

Who should attend

  • Researchers & Early Career Researchers: Prototype analyses, test pipelines, and gain hands-on experience using synthetic data and federated analytics before ethics and data access approvals are in place.

  • HDR Students: Get hands-on with realistic synthetic health datasets while learning the foundations of data synthesis, governance, and ethics – no prior experience with patient data required.

  • Health Services, Policy & Government: Explore practical pathways for enabling data-driven innovation while protecting privacy, public trust, and regulatory compliance.

  • Digital Health & Data Innovation Industry: Test models, products and AI safely using synthetic data environments without impacting live systems or sensitive health data.

  • Health Consumers & Patient Advocates: Understand what synthetic health data is (and isn’t), how privacy risks are minimised, and how communities can shape responsible, trusted data innovation.

Find out more about the Masterclass series here https://digitalhealthcrc.github.io/SD_masterclass