Funder: European Commission
Due Dates: February 1, 2027 | February 2, 2027
Funding Amounts: €3,000,000 total; typically one grant awarded for the full amount; project duration usually 36–48 months.
Summary: Supports development of AI-driven, automated experimentation and data management systems in food research labs to enable autonomous scientific discovery and cross-lab collaboration.
Description
This grant funds research and innovation projects that advance the automation of scientific experimentation in food-related laboratories through the integration of AI-driven decision-making and robust data infrastructures. The aim is to create safe, trustworthy, and closed-loop systems that enhance scientific discovery, efficiency, and reproducibility in existing lab environments. Projects should focus on developing intelligence layers—software and systems—that allow advanced labs to autonomously plan, execute, and analyze experiments, ideally enabling coordination and collaboration across multiple labs without requiring complete laboratory redesigns.
Key features include:
- AI-driven experimental planning, execution, and analysis
- Scalable and secure data storage, processing, and sharing systems
- Resource optimization (energy, materials, reagents)
- Real-time analytics and predictive maintenance
- Intuitive user interfaces and standards for interoperability
- Applications in biomass, precision fermentation, and alternative food production technologies
International collaboration is encouraged, and while the scope prioritizes software, justified equipment purchases are eligible.
