Project description
Integrated multi-hazard early warning systems for climate resilience
One natural hazard can set off another. Even though they rarely occur in isolation, natural hazards are usually treated separately by research and policy frameworks, which are missing multi-hazard dynamics. Supported by the Marie Skłodowska-Curie Actions programme, the WARN2RESIL project is developing an integrated early warning framework designed to capture and respond to multi-hazard dynamics. It combines AI, data-driven methods and stakeholder involvement to improve predictive accuracy and scenario simulation of hazard triggers. WARN2RESIL aims to deliver a theoretical framework, two case studies and a multi-hazard risk metric indicator that empowers informed decision-making. The project’s goals are in line with international efforts, including the 2030 Agenda for Sustainable Development and the United Nations' Sendai Framework for Disaster Risk Reduction 2025-2030.
Objective
In our interconnected and rapidly changing world, multiple natural hazards pose significant threats to human communities and
infrastructure. Natural hazards often occur simultaneously or trigger one another, such as droughts leading to wildfires or
earthquakes causing landslides. Despite the interconnected nature of these hazards, policy and research traditionally focus on single
hazards in isolation, overlooking the cascading effects of multi-hazard scenarios. Recognizing this gap, Multi-Hazard Early Warning
Systems (MHEWS) aims to develop a comprehensive framework to address and scale EWS for multi-hazard events. This proposal seeks
to advance understanding of the interactions between different natural hazards and improve early warning systems (EWS) to account
for these interactions. It also aims to create a robust risk metric to inform policymakers, thereby enhancing risk mitigation strategies.
The state-of-the-art approach integrates artificial intelligence (AI) and digital twins with traditional monitoring systems, providing a
holistic and adaptive framework. AI-driven models analyze vast datasets to offer precise predictive insights, while digital twins
simulate real-world interactions between hazards and infrastructure, allowing for better preparedness and response strategies. The
proposal outlines three main objectives: developing a theoretical framework for multi-hazard EWS, implementing multi-hazard EWS
in two case studies, and creating a risk metric for multi-hazard events. By achieving these objectives, MHEWS intends to build more
resilient societies capable of effectively responding to natural disasters. This research supports global policy initiatives like the 2030
Agenda for Sustainable Development and the Paris Agreement on Climate Change, promoting integrated approaches to address
significant societal challenges and enhance community resilience.
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 computer and information sciences artificial intelligence
- natural sciences earth and related environmental sciences geology seismology
- natural sciences earth and related environmental sciences physical geography natural disasters
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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-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.
30123 Venezia
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.