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OPEN

Leveraging artificial intelligence for pandemic preparedness and response

Last Updated: 8/3/2025Deadline: 15 September 2025€80.0M Available

Quick Facts

Programme:Horizon Europe
Call ID:HORIZON-HLTH-2025-01-DISEASE-04
Deadline:15 September 2025
Max funding:€80.0M
Status:
open
Time left:2 months

💰 Funding Details

Leveraging Artificial Intelligence for Pandemic Preparedness and Response (HORIZON-HLTH-2025-01-DISEASE-04)


Key Facts

* Type of Action: HORIZON-RIA (Research & Innovation Action)

* Maximum EU Contribution per Project: €80 million (100 % of eligible direct costs + 25 % indirect costs)

* Opening Date: 22 May 2025

* Deadline: 16 September 2025, 17:00 Brussels time (single stage)

* Programme / Cluster: Horizon Europe – Cluster 1 *Health* 2025 Work Programme, Destination *“Tackling diseases and reducing disease burden”*

* TRL at start/end: Typically TRL 2-5 → TRL 5-7 (research-driven but with strong validation elements)


What Is Funded?

The call finances multi-disciplinary R&I projects that create or enhance trustworthy, ethical and FAIR AI tools spanning the full pandemic management cycle:

1. Prediction & Early Warning – e.g. real-time forecasting, wastewater or air biosurveillance, anomaly detection across heterogeneous datasets.

2. Prevention & Containment – AI-supported design of medical/non-medical countermeasures, logistics optimisation, behavioural intervention modelling.

3. Diagnosis & Clinical Management – differential diagnosis, risk stratification, treatment response prediction.

4. System Resilience – resource allocation, surge capacity modelling, cross-border data sharing architectures.


Projects must demonstrate EU value-added by harnessing transnational FAIR datasets, linking to infrastructures such as EHDS and EOSC, and by integrating SSH expertise to anticipate societal, ethical, gender and bias issues.


Budget Structure (Typical)

* Personnel & Subcontracting: 45-55 %

* Data acquisition/curation: 10-20 %

* Computing & AI development: 15-25 %

* Pilots/validation (incl. clinical studies): 10-15 %

* Clustering & dissemination: ≥2 % (mandatory inter-project collaboration)

* Contingency & ethics compliance: 3-5 %


> Tip: Allocate a clear work package for joint clustering activities and reserve travel + event costs from the outset.


Personalizing...

📊 At a Glance

€80.0M
Max funding
15 September 2025
Deadline
2 months
Time remaining
Eligible Countries
EU Member States, Associated Countries

🇪🇺 Strategic Advantages

EU-Wide Advantages & Opportunities for “Leveraging artificial intelligence for pandemic preparedness and response” (HORIZON-HLTH-2025-01-DISEASE-04)


1. Unrestricted Access to the €16 trillion Single Market

450 + million potential users of AI-based pandemic tools (public-health authorities, hospitals, SMEs) enables rapid market uptake and commercial sustainability after the project.

• The Medical Device Regulation (MDR) and forthcoming AI Act create *one* conformity route for all Member States, avoiding 27 parallel authorisations and cutting time-to-market by an estimated 30-40 %.

• Alignment with the European Health Data Space (EHDS) ensures legal cross-border secondary use of health data—an asset that no single country can match in volume or diversity.


2. Deep Cross-Border Collaboration & Knowledge Exchange

• Consortium members can jointly tap EU-level data infrastructures (BBMRI-ERIC biobanks, ELIXIR, ECRIN, Euro-BioImaging) to train and validate AI models on truly pan-European cohorts—essential to minimise bias and strengthen external validity.

• Mandatory clustering with other funded projects plus synergies with HERA, ERA4Health, EIT Health, EIC Pathfinder/Transition create a built-in community of practice for continuous learning and technology transfer.

• Facilitates multi-language, multi-ethnic model development, satisfying the call’s bias-mitigation requirement and boosting model generalisability.


3. Direct Alignment with Flagship EU Strategies

Digital Decade / Digital Europe Programme: project outcomes (trustworthy AI, high-value datasets) feed directly into twin digital-health goals.

Green Deal & Fit-for-55: AI-optimised logistics reduce carbon footprint of medical supply chains during crises.

EU Global Health Strategy: scalable tools strengthen the Union’s role as a global health security actor, facilitating international data reciprocity.


4. Regulatory Harmonisation & Ethics-by-Design

• The grant explicitly demands compliance with GDPR, NIS2, forthcoming AI Act, and the EHDS regulation—providing a single, predictable governance framework across all participating states.

• Early engagement with EMA, ECDC, EDPS and national ethics bodies via the project speeds future market authorisation and public-sector adoption.

• Incorporation of SSH expertise addresses societal acceptance, equity and gender/ethnicity bias from day one, reducing downstream litigation or public push-back.


5. Leveraging Europe’s World-Class Innovation Ecosystem

• Direct links to 13 European Digital Innovation Hubs for AI & Health, 24 EIT-Health Co-Location Centres, and supercomputing capacities (EuroHPC, LUMI, LEONARDO) provide unrivalled computational power and business-acceleration services.

• Encourages participation of start-ups and deep-tech SMEs, who can exploit the InvestEU SME window, EIC Accelerator, or InnovFund for scaling post-project.


6. Funding Synergies & Leverage Effect

• Combination with EU4Health (€5.3 bn) can finance post-R&I piloting in Member-State health systems.

• Structural funds (ERDF, ESF+) can bankroll regional deployments, while Digital Europe (€7.5 bn) can cover further data-space infrastructure.

• Participation unlocks preferential access to Joint Undertakings (e.g. Chips JU for edge-AI sensors, Clean Hydrogen JU for hospital energy resilience).


7. Scale & Impact Potential

• Pan-EU deployment enables real-time epidemiological dashboards covering >95 % of EU population, feeding into ECDC’s Early Warning and Response System.

• Harmonised AI enables faster coordinated response (e.g., common triage algorithms, cross-border ICU transfer optimisation) cutting morbidity and mortality during crises.

• EU visibility and standards-setting power position beneficiaries as global reference points, opening export markets and influencing WHO guidelines.


8. Strategic Competitive Edge for Participants

• Access to high-quality, FAIR, multi-country datasets gives a moat against global competitors limited to national data pools.

IPR generated under Horizon rules (beneficiaries keep ownership, EU retains free licence for policy use) allows flexible commercial exploitation—licensing, spin-offs, or standard-essential patents.

• Consortium branding as an EU-funded, ethics-vetted project enhances trust among regulators, investors and the general public.


9. Recommended Actions to Maximise EU-Level Benefits

1. Build a consortium covering at least 10 Member States + 2 Associated Countries for dataset diversity.

2. Formal MoUs with EHDS pilot nodes and the EOSC Association to guarantee data interoperability.

3. Create an Advisory Board with HERA, ECDC, EMA, WHO-EURO, and civil-society groups to streamline future policy uptake.

4. Budget 5-7 % for joint clustering & communication to amplify EU-wide visibility and foster standardisation.

5. Map and apply for complementary funding (EIC Transition, Digital Europe, EU4Health) already during the project to secure a post-grant scaling pathway.


> Bottom line: Conducting this project at EU scale transforms isolated AI pilots into an integrated, regulation-ready, and market-shaping pandemic intelligence infrastructure—something no single country, company or dataset can deliver alone.

🏷️ Keywords

Topic
Open For Submission