Objective
Agricultural research increasingly relies on heterogeneous and distributed datasets that many Widening institutions are not yet equipped to transform into AI-ready assets or exploit in federated research settings. TRUST-AGDATA addresses this gap by strengthening the scientific excellence and international positioning of the Agricultural University of Athens (AUA) in AI-ready and federated agrifood data research, through a 36-month Twinning action with leading European partners ILVO (Belgium) and DFKI (Germany), supported by REZOS (Greece) and FSH (Serbia).
At the core of the project is the Agrifood Federated Data Lab (AFDL), an integrated experimental framework structured around three interconnected layers: AI-ready data preparation, federated data infrastructures, and distributed AI experimentation across institutional boundaries. The AFDL is operationalised through joint research experiments and complemented by deep cross-fertilisation, research management capacity building aligned with RM Comp, and innovation ecosystem development via the Agrifood Data Innovation Hub (ADIH).
Project activities include joint experimentation across the AFDL layers, 35–55 mobility and expert exchanges, 10–12 workshops, summer schools, mentoring and cascade training, and real-world agrifood use-case validation. Expected outcomes include AI-ready datasets, federated infrastructure prototypes, distributed AI pipelines, ≥20 joint scientific publications, and a strengthened proposal pipeline reaching ≥10 submissions per year by Year 3, including ≥4 coordinated by AUA.
TRUST-AGDATA delivers a replicable model for Widening institutions to advance in data-driven agrifood research, contributing to European priorities on data spaces, trustworthy AI, and digital agriculture.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.4.1 - Widening participation and spreading excellence
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-WIDERA-2026-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
118 55 ATHINA
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.