Synthetic Data, Common Data Models and Federation: Holy Trinity or Unholy 

Objective
Understand synthetic data, CDMs, and federated learning; explore real-world applications and ethical implications; assess AI's role in data governance.

Expected Outcomes
Understand synthetic data, CDMs, and federated learning; explore real-world applications and ethical implications; assess AI's role in data governance.

Target Audience
Public health professionals, data scientists, researchers, policymakers, and technology experts.

Additional Information
Participants are kindly requested to bring their own laptop for the workshop session, as some activities will involve hands-on exercises.