Hotel Bayerischer Hof

Conference Room Lindau

Access for Nobel Laureates and pre-registered Young Scientists only

Please see your personalized schedule for details.

Petr Holub
BBMRI-ERIC, Germany

Charles M. Rice
The Rockefeller University, United States of America

Carina Vieira
University of Porto, Portugal

Andrea S. Winkler
School of Medicine and Health, TUM, Germany

Moderator: Jens K. Habermann
BBMRI-ERIC, Germany

Addressing the One Health concept requires accessing and interlinking data sources across sectors and disciplines such as sensitive human clinical data, animal health, and environmental exposures. Big data and AI can help, but practical hurdles exist. This panel discusses how international research infrastructures can act as "trust infrastructures" that make cross-domain high-quality data fit for AI and help European AI research and development to be globally competitive, scientifically reproducible, legally compliant, and practically viable.

The panel will also explore how infrastructures can de-risk data access by offering pre-cleared datasets, shared legal and documentation patterns, and secure/federated analysis models that enable competitive research without compromising ethics or compliance.

This will be discussed considering the One Health paradigm including current and future challenges such as pandemic outbreaks, climate changes and biodiversity loss.