How can we harness the potential of data while safeguarding privacy? This question is at the heart of a keynote at Data Summit Luxembourg 2025, where Claude Lamboray, Head of the Methods and Quality team at STATEC’s Datalab, will present the groundbreaking results of a collaborative project with LNDS that explores just that.
Using Luxembourg’s 2021 Census as a foundation, the team successfully generated high-quality synthetic data that mirrors real-world statistical relationships — without revealing personal information. This innovative approach not only meets EU standards for anonymisation but also opens new doors for flexible, privacy-preserving data sharing in research and policy.
Join us to discover how synthetic data is reshaping the future of official statistics, and what this means for data-driven innovation in Luxembourg and beyond.
🎤 About the Speaker
Claude Lamboray holds a PhD in Applied Science from the Université Libre de Bruxelles, and has a strong academic background in Mathematics and Statistics. Over the past 15+ years, he has built extensive experience in the field of official statistics, working on a wide range of projects and in various roles at STATEC and the European Commission. Currently, Claude leads the Methods and Quality team within STATEC’s datalab, where he plays a key role in driving modernisation initiatives and enhancing statistical practices.
📍 Session Details
The keynote will take place during Data Summit Luxembourg 2025 on 2 December at the European Convention Center Luxembourg.
o When: 14:45 - 15:00
o Location: Plenary Stage
🎟️ Participation is free, but places are limited and filling quickly. Register now to secure your spot!
📅 Explore the full program here.
Data Summit Luxembourg is the leading event for demonstrating value creation from public sector data. Showcasing a mix of sessions from academia and industry, along interactive discussions and panels, the event presents insights into the journey of innovation from data.
The event is created by the Luxembourg National Data Service (LNDS).
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