Objective
Earthquakes caused nearly one million fatalities in the last 25 years and billions of euros of economic loss. Earthquake early warning systems exist in some countries at risk. They send alerts based on the rapid analysis of early seismic waves generated by the earthquake and therefore only provide a few seconds of warning before the strongest shakings. Moreover, for fundamental reasons, these systems systematically underestimate the magnitude of large events, which results in dramatic underestimation of potential subsequent tsunamis (which typically cause most of the fatalities and damage). For this reason, alternative systems based on different messenger-signals (W-phase, GNSS) have been developed for tsunami warning but these systems are much slower, limiting the effectiveness of protective actions. In this context, making tsunami warning faster is crucial to mitigate the hazard associated with these catastrophic events. In the framework of the ERC StG project EARLI, we designed a prototype AI algorithm leveraging recently-identified light-speed gravity signals that provides faster and more accurate theoretical estimates of the magnitude of large earthquakes than state-of-the-art tsunami warning algorithms (Licciardi et al., Nature, 2022). In this project, we propose to implement this AI algorithm in the operational tsunami warning system of Alaska, one of the regions hosting the largest earthquakes on Earth, with the objective of transforming the theoretical developments of the ERC StG EARLI into concrete transformative improvements in rapid tsunami response, which will rapidly benefit to hundreds of thousands of people at risk from this hazard in Alaska, and will serve as a proof of concept for every region exposed to tsunami hazard in the world.
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.
- social sciences social geography transport navigation systems satellite navigation system global navigation satellite system
- natural sciences earth and related environmental sciences geology seismology
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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.1.1 - European Research Council (ERC)
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-ERC-POC - HORIZON ERC Proof of Concept Grants
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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) ERC-2026-POC
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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.
13572 Marseille
France
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.