Synthetic Data Generation

Explore the principles and applications of synthetic data, with a focus on how synthetic datasets can support privacy-preserving data use and analysis. This module introduces the key concepts behind synthetic data generation, the Aindo solution, and the evaluation of synthetic data in terms of privacy and similarity. Through practical activities, participants will generate synthetic data, assess its quality and privacy, and explore its application in a simulated clinical trial.

Key topics

• Synthetic data: concepts and applications
• Privacy and similarity metrics
• Use cases for synthetic data

Learning Outcomes

• Understand the principles and potential applications of synthetic data
• Evaluate synthetic data in terms of privacy and similarity
• Apply synthetic data generation and evaluation techniques in a practical scenario
• Explore the use of synthetic data in the simulation of a clinical trial