Sydney

Event Details

Sydney Masterclass

Historic Venue

The Sydney masterclass is hosted in The Sutherland Room, a beautifully restored heritage space within the Holme Building at the University of Sydney — one of Australia’s most iconic sandstone university campuses.

Venue Information

Room The Sutherland Room, Level 4, Holme Building

Address Science Road, University of Sydney, NSW 2006

Dates Tuesday 9 – Wednesday 10 June 2026

Hours 9:00am – 4:00pm both days

Host University of Sydney, in partnership with Digital Health CRC

About This Event

The Sydney masterclass brings together national and international experts for two intensive days focused on synthetic health data, privacy-preserving analytics, and federated data ecosystems. Hosted at the University of Sydney, this is the second event in the 2026 series.

Program Outline

Day 01

Foundations, Ethics & Readiness

Develop a clear, shared understanding of what synthetic health data is (and is not), and where it adds value.
Distinguish between low and high-fidelity synthetic data, including their risks, benefits, and appropriate use cases.
Understand the technical foundations of synthetic data generation, validation, and fitness-for-purpose assessment.
Examine ethical, governance, and regulatory considerations, with a strong focus on transparency, accountability, and public trust.
Learn about local Australian synthetic health data initiatives, progress to date, and lessons learned from early implementation.
Engage in cross-sector discussion to assess organisational readiness for adopting synthetic health data in practice.

Day 02

Applying Synthetic Data Safely at Scale

Understand how synthetic data supports federated analytics, Trusted Research Environments, and privacy-preserving computation at scale.
Gain hands-on technical experience or participate in expert-led demonstrations of synthetic data generation, fidelity evaluation, and applied modelling using a realistic health use case.
Explore how consumer expectations, policy considerations, and governance frameworks shape responsible and trustworthy synthetic data use.
Understand how Common Data Models (e.g. OMOP) enable interoperability and multisite analysis, supported by synthetic data.
Synthesise technical and social perspectives to identify practical, trustworthy pathways to scale synthetic health data initiatives.
Articulate what “good” implementation looks like for Australia over the next 12–24 months and identify concrete next steps for collaboration.

Facilitated By

Expert Facilitators