Workshop Details
Who the workshop is for and what participants will learn during the day.
Event Information
| Detail | Details |
|---|---|
| Date | 22 June 2026 |
| Duration | 1 full day (08.30-17.00) |
| Language(s) | Lectures and Documents in English; hands-on labs in EN/GER |
| Price | CHF 450.- |
Who this workshop is for
This workshop is designed for professionals who work with sensitive or personal data and are looking to enable its safe, responsible, and effective use. It is particularly relevant for those navigating the balance between data utility and privacy in real-world contexts.
It is well suited for:
- Data scientists and analysts working with confidential or regulated datasets
- Privacy engineers and data protection specialists
- Researchers handling personal, health, or administrative data
- Policy, legal, and compliance professionals involved in data access and sharing decisions
- Individuals and Organizations that want to integrate synthetic data or anonymization techniques into their workflows
Basic familiarity with data analysis or programming is helpful, but not required.
Learning goals
The workshop provides practical, experience-based knowledge for generating, evaluating, and sharing data in a privacy-preserving way. It connects theoretical concepts with regulatory considerations and hands-on implementation.
- Understand core anonymization principles and recognize common privacy risks
- Apply synthetic data generation techniques
- Measure and interpret privacy risk and data utility in realistic scenarios
- Compare different approaches to privacy-preserving data sharing