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Bridging Igneous Petrology and Machine Learning through Intersectoral, Interdisciplinary, and Intercontinental Staff Exchanges

Objective

The REALI3SE Staff Exchange project will advance research and discovery at the intersection of igneous petrology, geochemistry, and artificial intelligence, bringing together Earth scientists, data scientists, and industry partners from Europe, South America, Africa, and the USA.

By combining multimodal data acquisition with advanced machine-learning (ML) methodologies, REALI3SE will transform how geological processes are observed, modeled, and interpreted, from magma generation and evolution to volcanic eruptions and ore formation. Through structured secondments, researchers from academia, research institutions, and industry will jointly develop standardized protocols for data harmonization, spatial co-registration, and fusion of multimodal datasets derived from different analytical techniques, including EPMA, LA-ICP-MS, Raman and IR spectroscopy, µ-XRF, and synchrotron-based imaging. Integrating these datasets through physics-informed ML models will enable the development of scalable workflows for extracting meaningful patterns from complex geochemical archives, improving our understanding of magmatic processes, predictive models for volcanic hazards, and strategies for the sustainable exploration of critical raw materials.

Beyond its scientific objectives, REALI3SE will strengthen long-term collaboration between European and international partners, bridging expertise in volcanology, ore geology, data science, and AI. Its outreach, dissemination, and open-science activities will ensure that the resulting knowledge and digital tools are accessible to the wider scientific community, industry stakeholders, and policymakers. Ultimately, REALI3SE will prepare a new generation of Earth scientists, capable of integrating AI-driven methods into the responsible management of geological resources.

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.

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2025-SE-01

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Coordinator

UNIVERSITA DEGLI STUDI DI PERUGIA
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.

€ 415 830,00
Address
PIAZZA DELL UNIVERSITA 1
06123 Perugia
Italy

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Region
Centro (IT) Umbria Perugia
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

No data

Participants (10)

Partners (5)

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