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Facilitated cooperation for AI in Science

The "Facilitated Cooperation for AI in Science" funding call aims to support the establishment of a cohesive and well-structured AI-enabled research ecosystem across Europe. This initiative is critical for unlocking the potential of Artificial Intelligence (AI) in advancing science and addressing key societal and technological challenges, thereby boosting the EU’s competitive edge in Research and Innovation (R&I). By leveraging AI, this program aspires to redefine research paradigms, optimize scientific workflows, and foster breakthroughs across diverse disciplines.

AI is transforming the research landscape by enabling complex analyses, enhancing predictive capabilities, and fostering automation in lab environments. This call invites Coordination and Support Actions (CSA) to create a Strategic Research and Innovation Agenda (SRIA) that identifies long-term challenges and opportunities where AI can deliver meaningful scientific and societal contributions.

Opening: 22 May 2025

Deadline(s): 23 Sep 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

- Identification of long-term AI research challenges aligned with EU’s competitive edge.
- Evidence-based recommendations to optimize access to data, infrastructure, and talent for AI in Science.
- Strengthened networks and communities of AI and domain scientists.
- Enhanced awareness and promotion of AI in Science through strategic communication.
- Feasibility studies for future initiatives and infrastructure upgrades.

Scope

- Structure AI-enabled research in Europe.
- Develop a Strategic Research and Innovation Agenda (SRIA) for AI in Science.
- Assess the needs and potential for R&I initiatives for AI in Science beyond the CSA.
- Promote collaboration with existing European initiatives and infrastructures.
- Explore options to improve data access, infrastructure, and talent for AI-enabled scientific discovery.

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