Lantern Grants

Automated Scientific Discovery – Food (RAISE pilot)

Funder
European Commission · Horizon Europe
Award amount
Up to €3,000,000
Deadline
February 2, 2027
Eligible countries
European Union, United Kingdom, Norway, Iceland, Switzerland, Israel, Global

Summary

Open EU call topic HORIZON-RAISE-2027-01-02 · HORIZON Research and Innovation Actions. Part of call HORIZON-RAISE-2027-01: AI in Science. Next deadline 2027-02-02. Topic page: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/HORIZON-RAISE-2027-01-02

Expected Outcome: Project results are expected to contribute to the following expected outcomes: - Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; - Accelerated scientific discovery with increased efficiency and reproducibility; - Improved scientific productivity; - Advancement of laboratory automation, including development of best practices, challenges, and opportunities for accelerating R&D; - Prototype functional demonstrators that showcase the integration of automation with AI-driven decision-making, enabling the development of closed-loop scientific experimentation systems.

Scope: This topic addresses the development of safe and trustworthy closed loop scientific experimentation systems through the integration of laboratory automation with AI-driven decision-making processes and robust data infrastructures. The funded project will help scientific labs with an already advanced level of automation and digitalisation to design, develop, and test the intelligence layer that enables scientific instrumentation to semi- or fully autonomously plan, run, and analyse experiments, ideally in coordination/network with other labs and without requiring a complete redesign of existing laboratory outfitting. Proposals will incorporate comprehensive data management systems capable of handling the collection, storage, processing, and sharing of experimental data. This includes developing scalable and secure data storage solutions, efficient data processing and analysis tools, and mechanisms to facilitate data sharing and collaboration across labs,…

Summary as listed by the funder. Always read the full announcement for eligibility, limits and how to apply.

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What European Union reviewers look for

  • Most Horizon Europe calls score three criteria (the ERC uses excellence alone). Excellence: clarity and ambition of the objectives, and the soundness of the methodology.
  • Impact: credible pathways to the expected outcomes, and measures to communicate and exploit results.
  • Quality and efficiency of implementation: the work plan, resources and the consortium's capacity.

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