Project description
Smarter, fairer warnings for climate-driven health risks
Europe faces compound climate threats, including simultaneous heatwaves and air pollution events. Current early warning systems, however, treat these hazards separately and provide one-size-fits-all alerts that ignore the vulnerabilities of specific populations. Supported by the Marie Skłodowska-Curie Actions programme, the AI-4-HEALTH project will harness rapid advances in AI-based weather prediction models to power next-generation early warning systems that integrate heat and air pollution forecasting with epidemiological models, enabling faster climate-driven prediction of compound hazards. Crucially, it will assess forecast accuracy across sociodemographic groups and develop subgroup-specific health alerts to address inequalities in exposure and risk. Overall, AI-4-HEALTH is designed to strengthen Europe’s capacity to respond to climate-related health threats.
Objective
In recent years, rapid advances in artificial intelligence have revolutionised atmospheric forecasting, giving rise to AI-based weather prediction models (AIWPs) that collapse forecast runtimes from hours on supercomputers to minutes on a single GPU, while rivalling the skill of state-of-the-art numerical weather prediction models (NWPs). Yet this disruptive capacity remains largely untapped in public health, even as Europe faces escalating extremes of heat and air pollution. Crucially, hazards no longer occur in isolation: compound heat-air-pollution events are rising in frequency, duration and severity, disproportionately amplifying health inequalities. However, current health early warning systems (HEWS) still treat temperature and air pollution separately and issue uniform alerts, leaving those most at risk under-informed. It remains completely unexplored whether HEWS can deliver equally accurate warnings across populations under compound exposures.
AI-4-HEALTH addresses this gap by demonstrating the potential of AIWPs to power operational HEWS for compound hazards, enabling faster government and public responses at unprecedented efficiency gains and a minimised carbon footprint, a breakthrough unattainable with conventional NWPs. AI-4-HEALTH will integrate AIWPs with epidemiological models to issue subgroup-specific health alerts, and for the first time, assess the forecast skills by sociodemographic strata, revealing inequalities in warning accuracy between population groups. This interdisciplinary effort directly addresses the urgent need for robust health responses to climate threats. It is strategically aligned with the Horizon Europe Work Programme, in particular Cluster 5 (Climate, Energy and Mobility) and the EU Mission “Adaptation to Climate Change.” Successful delivery will strengthen Europe’s capacity to confront climate and air-pollution challenges in a way that promotes sustainability, equality, diversity, and inclusion.
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 environmental sciences pollution
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware supercomputers
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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)
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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
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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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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.
08036 Barcelona
Spain
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