Open Science Foundation at a matchmaking evening in Paris

On 9 September 2026, Robin Wilkening of the Open Science Institute and Peter Dike, the Open Science Foundation's first fellow, presented OpenTwin at Recoding Medicine: Paris Matchmaking Evening at Station F in Paris. Organised by the Foresight Institute and SPRIND, the evening brought together different stakeholders in the health research arena, including researchers, AI engineers, clinicians, data holders, and funders, for potential collaboration.

Making health data useful

The event was organised around SPRIND's Recoding Medicine Challenge, which aims to unlock Europe's fragmented health data for AI and to prove its value through concrete medical applications. This translation is important, because much of the relevant work starts well before an AI model can be trained: finding high-quality data, understanding its context, and establishing the conditions under which it can be used.

These are questions we know well from the OpenTwin project. A human digital twin depends on measurements that can be tracked over time, with their origins and limitations clearly documented, and matters of consent and data governance have to be resolved alongside the technical infrastructure. The Paris event was therefore a valuable opportunity to introduce the project to people approaching these same problems from different directions.

Time to talk

Alongside presenting OpenTwin, we enjoyed conversations with Bradley Royes, Hana Lango Allen, and Leon Peshkin. The format left room to move beyond a brief introduction and get to know the people behind the projects.

Thank you to the Foresight Institute and SPRIND for bringing us together. We look forward to continuing the conversations.

More about the OpenTwin project, and about the measurement layer behind it in Every OpenTwin starts with a body scan.