Objective
Large-scale initiatives such as Destination Earth (DestinE) and Research Infrastructures (RIs) generate vast volumes of high-quality observational and simulation data. However, their usability and accessibility remain limited, particularly for non-technical users, due to fragmented toolchains, technical barriers, and the lack of intuitive interfaces. PEAT-GENIE develops a modular, interoperable, and inclusive AI platform that transforms complex environmental data into decision-ready insights through natural language interaction, visual scenario simulation, and local impact assessments.
By integrating data from RIs, Copernicus Earth Observation, DestinE components (e.g. Climate DT, Data Lake), and national sources, the platform will power AI-driven Digital Twins for peatland ecosystems, delivering robust predictions for hydrology, GHG flux, biodiversity, and land cover. Two Generative AI interfaces—a “what-if” simulation engine and a multilingual explanation tool—will provide inclusive, transparent, and expertise-sensitive access to environmental models. Uncertainty quantification and provenance tracking will be embedded to ensure interpretability and build trust in the outputs.
Validated in real-world pilot sites across four EU countries, PEAT-GENIE offers a scalable, cross-sectoral blueprint for climate resilience, ecological restoration, and AI-powered environmental governance—fully aligned with the European Green Deal, GenAI4EU, the EU Biodiversity Strategy, and the AI Act. Beyond peatlands, the platform’s modular architecture, FAIR-compliant data pipelines, and GenAI interfaces are designed for reusability across other ecosystems. Co-designed with end-users, the platform’s tools, models, and outputs will be openly available, enabling future integration into DestinE services, RI catalogues, and the AI-on-Demand platform. PEAT-GENIE will thus strengthen Europe’s capacity for inclusive, trustworthy, and actionable environmental intelligence.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences hydrology
- natural sciences earth and related environmental sciences environmental sciences sustainability sciences
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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.1.3 - Research infrastructures
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-RIA - HORIZON Research and Innovation 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-INFRA-2025-01
See all projects funded under this callCoordinator
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.
02151 Espoo
Finland
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Participants (16)
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1350 Kobenhavn K
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51005 Tartu
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501 15 Boras
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4 Dublin
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D02 CX56 Dublin
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708 00 OSTRAVA PORUBA
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20014 Turku
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43121 PARMA
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09599 Freiberg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.
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02101 Espoo
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41092 SEVILLA
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6717 LZ Ede
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7183 Lemvig
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00240 Helsinki
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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.
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51008 Tartu
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R93 Carlow
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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00521 HELSINKI
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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00023 Helsinki
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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4180 Sorø
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