Project description
Smarter seismic recovery with AI and advanced sensing
Post-earthquake building assessments are slow, subjective, and difficult to scale, putting at risk both public safety and cultural heritage, particularly in Europe’s seismically active regions. Supported by the Marie Skłodowska-Curie Actions programme, the Re-BUILD-EU project aims to develop an automated, high-tech evaluation pipeline. It will integrate multi-sensor data from drones and laser scanning with a reliability-aware AI framework in order to carry out rapid and objective damage detection. These digital insights are then converted into physics-based models to estimate a structure’s remaining strength. The final decision-support system provides clear recommendations on whether to repair, shore, or demolish buildings, ensuring faster, evidence-based emergency responses that protect European communities and their architectural legacy.
Objective
The Re-BUILD-EU (Resilient BUILDings: Integrated Loss & Damage Decision-support for Earthquake Recovery in EUrope) project tackles a critical challenge in Europe’s seismically vulnerable regions, where current post-earthquake building assessment methods are often inefficient, subjective, and lack scalability to ensure public safety and protect cultural heritage.
To address this, the project aims to revolutionize post-disaster recovery by developing and validating an innovative, integrated end-to-end pipeline to accelerate and improve the reliability of structural damage evaluation. This will be achieved via cutting-edge multi-sensor data acquisition—using UAVs, Terrestrial Laser Scanning, Infrared Thermography, and Ground Penetrating Radar—combined with a reliability-aware AI framework for automated, objective damage detection and classification.
The project will then translate AI-driven damage intelligence into actionable engineering insights through rapid, physics-based model updating, enabling accurate estimation of a structure’s residual capacity. All outputs will be consolidated into a practitioner-focused Decision-Support System, providing transparent, uncertainty-aware recommendations (Repair, Shore, Demolish) aligned with European protocols for effective emergency decision-making.
Robustness and effectiveness will be demonstrated through real-world pilot studies and comprehensive numerical and uncertainty analysis. The host organisation offers leading expertise in seismic damage assessment, advanced sensing, and reliability-aware AI, creating an ideal research environment.
This project, together with advanced training in data fusion, AI, and technology transfer, will be key in establishing the fellow as an independent leader in seismic resilience and disaster recovery, ready to drive innovation and impact at European and global levels.
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 geology seismology
- natural sciences physical sciences optics laser physics
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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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.
60121 Ancona
Italy
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.