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Generative Artificial Intelligence for Earth System

Objective

Generative Artificial Intelligence (GenAI) is rapidly advancing, offering novel ways to exploit multi-disciplinary data and generate new knowledge for science. In Earth System Science (ESS), GenAI is emerging as a transformative technology, enabling a paradigm shift in understanding, predicting, and managing complex socio-environmental systems by cross-using diverse yet fragmented data sources (satellite and in-situ observations, models, experiments, texts).
GenAI4Earth will go beyond the state of the art by designing, deploying, and operating trustworthy, reusable GenAI services within the EOSC ecosystem, advancing discovery on Earth–climate–environment–life interactions in co-design with user communities and research infrastructures at national and European levels. Aligned with GenAI4EU and Apply AI initiatives, the project builds on FAIR data, models, and workflows, integrating them into EOSC (AI4EOSC, EOSC Nodes such as Data Terra and NFDI) to foster standards, best practices, and confidence in AI-enabled dataspaces and foundation models.
Concretely, GenAI4Earth will:
• Develop GenAI tools to enhance FAIRness, machine-actionability, AI-readiness, and provenance of ESS data and services;
• Implement AI-powered interfaces for seamless discovery, access, and cross-domain integration;
• Demonstrate pilots in urban resilience, agro-environmental monitoring, and seismology through topical AI foundation models;
• Promote responsible AI with reproducibility, explainability, transparency, and frugal computing;
• Build capacity via training and engagement to ensure broad uptake of GenAI-enabled workflows.
The consortium mobilises expertise across AI, data science, Earth systems, computing infrastructures, and ethics to co-design interoperable, reproducible, and impactful services.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-INFRA-2025-01

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

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.

€ 1 046 263,75
Address
RUE MICHEL ANGE 3
75794 PARIS
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

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Participants (16)

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