Implementing digital services to empower neuroscience research for health and brain inspired technology via EBRAINS

The scope of this topic is to support the excellence and attractiveness of the EBRAINS Research Infrastructure by operating existing, improved and new services, advancing scientific and technological discoveries in neurosciences, brain medicine and brain-inspired cognitive technologies, and attracting a wide community of users, including industrial users.

Proposals are expected to address all following activities:

• Operate the EBRAINS research infrastructure digital facilities, providing access to a federated supercomputing RI, large data storage, computational capabilities and cloud services, with access to the European HPC capacities towards exascale, and AI Factories and future AI Gigafactories.
• Support the use of EBRAINS digital services by researchers across Europe. Support the development of services involving scientific, medical and industrial stakeholders via co-design approach, including the integration of new data and services from new users and/or EBRAINS national competence nodes, enriching the cloud-based deliveries and facilitating the sharing of produced data and use of national resources.
• Integrate AI tools in EBRAINS services to support intuitive interaction with users, to facilitate brain research, neuroscience data analysis, simulations and biological modelling of the brain, and to support FAIR data indexing and archival to scale-up data integration. This includes developing new foundational models dedicated to the field of neuroscience. The unique multi-scale database with data from the micro to the macro scale hosted by EBRAINS would be one of the essential resources for feeding these models.
• Demonstrate scalability and robustness of the approaches, both technically and operationally. This includes the ability to handle large and complex datasets (e.g. imaging data in the range of terabytes) including associated metadata; the provision of scalable tools and services (e.g. annotation platforms, AI pipelines, secure data handling) that go beyond limited pilot phases or academic prototypes; a clear plan for how the infrastructure or platform proposed will evolve into a robust and continuously available service that can meet the needs of real-world users, including SMEs and clinical stakeholders.
• Develop and integrate in EBRAINS a new collaborative platform for advancing and testing neuro-inspired AI to facilitate brain research, medicine and brain inspired technology, assuring interoperability with other initiatives in the field, and enabling access to strategic brain data.
• Strengthen and build new international collaborations to support digital neuroscience as a global challenge, to ensure that Europe remains at the centre of the global efforts aimed at better understanding the brain, partnering with other main players in the International Brain Initiative, and other initiatives.
• Develop tailored and inclusive training and skills development programmes to facilitate users access, assisting them in their digital experiments and contributing to educating a new generation of scientists and developers at the intersection of neuroscience, computing and AI.

Proposals are expected to outline how they will contribute to and align with European efforts on health data sharing, particularly in the context of the forthcoming European Health Data Space. This includes implementing FAIR data principles and mechanisms to support data discoverability, accessibility, interoperability, and reusability, and addressing how the infrastructure will support real-time or near-real-time data flows, including handling of metadata, harmonisation of data formats, and secure access for authorised users.

Proposals are expected to identify and build on synergies with other EU Research Infrastructures such as eBRAIN-Health, EUCAIM, Euro-BioImaging, TEF-Health, and other relevant infrastructures supported under Horizon Europe or previous framework programmes, ensuring sustainability, complementarity and coherence at the European level. Collaborations with relevant infrastructures should address technical and semantic interoperability to avoid further fragmentation, sharing tools, standards, and governance models, and will contribute to the broader European ambition of creating a federated, harmonised, and innovation-enabling health data ecosystem.