Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Demonstration of a VERTIcal-axis floating wind turbine for offshore energy Generation with improved performance and accessibility for Operation & maintenance (VERTI-GO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Ireland,Sweden,United Kingdom,Türkiye,Portugal,Germany,Belgium,Denmark,France
Call: Demonstrations of innovative floating wind concepts (HORIZON-CL5-2024-D3-02, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 20859870.25
EU funding (EUR): 14988373.3
Participants: 11
Project status: SIGNED

In the face of increasing global competition and Europe's urgent need for energy independence, renewable energy is becoming the driving force of the future. Offshore wind energy is poised to lead this transition, particularly in deep waters where consistent winds and abundant space offer unparalleled potential. However, current floating wind solutions simply adapt horizontal-axis wind turbines from onshore and fixed-bottom offshore designs, a method that fails to fully optimize efficiency for floating environments The VERTI-GO project introduces an innovative floating vertical-axis wind turbine, specifically designed for offshore conditions from its inception. This technology offers key advantages over the current state-of-the-art floating wind solutions: - Simplified maintenance – The turbine eliminates the need for costly and time-consuming transport to shore for major repairs, reducing downtime. - Integrated design – By merging the tower and floater into a single structure, manufacturing and assembly processes are streamlined. - Lower CAPEX – The turbine’s lower center of gravity enables the use of a smaller spar floater, reducing material requirements and overall costs. Having already reached TRL5 with a 30kW demonstrator, the VERTI-GO project aims to scale up the technology to a 2MW floating wind demonstrator, operating in real conditions for 15 months. To achieve this, the project brings together key actors from across the offshore wind value chain, collaborating in three structured phases: planning and design, procurement, and operation. Given that the projected €15M funding is not sufficient for full deployment, the project will develop a comprehensive external funding strategy, integrating both public and private investment sources. End-user partners and additional contributors will be engaged to explore viable financing solutions. A go/no-go decision will be taken based on the outcomes of the external funding plan, planning phase, and feasibility

Keywords: floating,vertical,axis,turbine,cable,operation,demonstrator
Advancing European Dry Cured Ham Value Chains with Data-Driven Authentication and Global Traceability Standards (HAMTRACE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,Montenegro,Italy,France,Serbia,United Kingdom
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 751500.0
EU funding (EUR): 661320.0
Participants: 10
Project status: SIGNED

The EU dry-cured ham (DCH) sector faces growing challenges related to fraud, supply chain transparency, and compliance with PDO/PGI certification standards, threatening consumer trust and market competitiveness. While blockchain-based traceability is emerging, current systems rely solely on QR codes and labeling, lacking integration with chemical fingerprinting authentication to verify product authenticity at a granular level. Additionally, smaller producers struggle with resource limitations to adopt cutting-edge traceability solutions, restricting their ability to compete in premium markets. HAMTRACE addresses these gaps by developing an interoperable, privacy-preserving, and regulation-compliant traceability framework, integrating advanced analytical chemistry, AI, blockchain, and federated learning. The project will 1) Map critical control points across the value chain to enhance risk assessment. 2) Implement high-precision elemental fingerprinting to distinguish authentic DCH from fraudulent imitations. 3) Leverage AI-driven hyperspectral imaging and elemental fingerprinting to authenticate curing time and regional specificity. 4) Develop a Hyperledger Fabric blockchain system, embedding tamper-proof smart tags and real-time fraud detection using AI-enhanced anomaly detection. HAMTRACE goes beyond conventional traceability by introducing a human-in-the-loop AI model, ensuring ethical compliance and transparent decision-making. This aligns with GDPR, the EU AI Act, the Green Deal, or the Farm-to-Fork Strategy, reinforcing EU’s leadership in food safety R&I. By offering scalable, industry-ready solutions, HAMTRACE enhances consumer confidence, protects PDO/PGI certifications, and strengthens the EU DCH sector’s competitive edge globally. This groundbreaking fusion of analytical chemistry and digital technologies will set new industry standards for authenticity, transparency, and food integrity, shaping the future of fraud-resistant premium food traceability in EU

Keywords: food authenticity,traceability,blockchain,isotopic fingerprinting,ai,nir spectroscopy,smart tags,fraud prevention,dch,pdo pgi,sustainability,compliance,supply chain
Strategic Health Initiatives for Effective Disease Prevention (SHIELD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Ireland,Switzerland
Call: Personalised prevention of non-communicable diseases - addressing areas of unmet needs using multiple data sources (HORIZON-HLTH-2024-STAYHLTH-01-two-stage, 2024)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 7368896.21
EU funding (EUR): 6552184.1
Participants: 8
Project status: SIGNED

The prevalence of Non-Communicable Diseases is forcing countries to consider different initiatives aimed at reducing the burden and impact of these diseases. In this sense, SHIELD pioneers an innovative approach to preventing cardiovascular diseases (CVD) and diabetes at all stages of disease and considering the strong relationship among them. Utilizing advanced AI, SHIELD offers personalized interventions following a hierarchical model based on patients' risk profiles. These profiles are continuously assessed through risk stratification and disease progression tools, leading to low, moderate, and high-risk layers, each requiring distinct prevention strategies, from halting disease progression to preventing relapse and complications. Initial risk assessment will include genetics, demographics, socio-economic status, environment, behavior, and medical conditions, using datasets like SHARE or ELSA, and retrospective hospital data (4,500+ patients). Later-stage disease analysis will also entail polypharmacy, treatment adherence, wearables, psychosocial factors, PROMs, and PREMs, allowing for individualized interventions and real-time alerts for professionals through the SHIELD dashboard. SHIELD also prioritizes the quality and security of these data, creating a standardized data homogenization model and federated learning approach to keep sensitive data locally. Transparency is provided through explainable ML tools. Interventions are accessible via mobile apps, providing resources, recommendations, education, and local services. Optimization algorithms enhance user engagement, and a chatbot, trained on patient data, offers continuous support with professional oversight. SHIELD will be validated in 3 pilots, involving more than 2,300 individuals along 2 years. The aim is to get knowledge on the cost-effectiveness and efficacy of the prevention strategy proposed by SHIELD and to get insights for effective primary prevention pathways with population-wide impact.

Keywords: ai,risk stratification,explainability,monitoring,disease progression
Fairness in Language Models: Equally right for the right reasons (FairER)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 214934.4
EU funding (EUR): 214934.4
Participants: 1
Project status: CLOSED

Most of us use technology related to natural language processing (NLP) such as Google Search or virtual assistants in phones and other devices on a daily basis. Large-scale pre-trained language models hereby play a crucial role as they often form the basis of those technologies. Those models are trained on a large amount of training data (e.g. the entire English Wikipedia and the Brown corpus) which makes it impossible to curate the training corpus and potential stereotypes and biases will be implemented into the model, often without researchers noticing. This can lead to problematic and unfair behaviour towards certain demographics, often those who already suffer from implicit biases in society. With FairER, I aim to get a deeper understanding of the inner workings of these language models. In particular, I want to investigate how well their solution strategies align with those of humans and whether this depends on certain demographic attributes such as gender, race, age but also reading abilities and level of education. I will also probe those language models for fairness and inclusiveness, i.e., find out whether the performance of an NLP application depends on demographic attributes of the user. Furthermore, I will conduct this project in a multilingual setting and apply interpretability methods to better understand the rationale behind a model’s decision. The main impact of FairER will be a better understanding of how language models treat different demographics. These insights will help to improve the fairness and inclusiveness of NLP applications. Furthermore, the datasets I will record and publish along with the code will encourage other researchers to replicate my findings and continue this line of research. Ultimately, this project will have both a scientific and societal impact on the NLP community and users of NLP applications.

Keywords: natural language processing,fairness,trustworthiness,large scale pre trained language models,machine learning
XenseVision: Transforming Urban Mobility with AI-Driven Traffic Optimisation and 3D Traffic Insights (XenseVision)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Sweden
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

XenseVision is a Swedish deep-tech company dedicated to addressing urban traffic challenges through innovative technologies. As cities face increasing congestion, rising emissions, and safety risks due to outdated infrastructure, XenseVision will develop a next-generation traffic optimization solution as part of the EIC Accelerator project. Our innovation will combine real-time multi-modal sensor fusion, edge AI, and cloud-based digital twins to optimize traffic flow, enhance safety for vulnerable road users, and reduce environmental impacts. With cost-effective, above-ground sensors ensuring scalability and seamless integration with existing infrastructure, the EIC Accelerator grant is essential to advancing XenseVision’s solution from TRL 6 to TRL 8 and demonstrating a fully integrated prototype in operational urban environments. XenseVision’s business model will target large integrators, municipalities, and ITS companies, integrating hardware sales, subscription-based software licensing, and service agreements. EIC grant funding of €2.5M will enable us to complete development, achieve market readiness, and position the company for rapid growth. We forecast break-even on EBITDA in 2029 with the sales revenue of €32 M. A go-to-market strategy leveraging pilot projects and partnerships with industry leaders will ensure successful adoption and scalability. Our solution aligns with EU policies such as the Green Deal and Vision Zero, contributing to sustainability, safety, and climate action goals. Societal impacts include reduced congestion, improved safety, and more inclusive urban environments. Supported by a founding team with decades of expertise from Kapsch TrafficCom and collaborations with Volvo Cars, Telenor, and KTH Royal Institute of Technology, XenseVision is positioned to become a leader in intelligent traffic systems.

Keywords: traffic optimisation,urban mobility,smart cities,real time analytics,vehicle to infrastructure,edge ai,autonomous vehicles,multi modal sensor fusion,digital twin technology,emission reduction
A new AI-powered mobile DTH drill rig for accessing deep geothermal wells effectively and safely (AI-DTH)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Finland
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Today’s, conventional shallow well drill rigs and oil and gas drilling technology adaptations are not suitable for meeting the drilling requirements of the fast-evolving geothermal energy markets. The business case is to drill deeper to gain better energy efficiency from smaller land areas as a deep well of 2 000 meters provides ~60 X more energy than a shallow well of 300 meters. A robust solution is needed that combines the advantages and advances the State-of-the-Art of existing oil & gas and Down the Hole (DTH) drill rig technologies in order to efficiently drill deep while also being easy to transport, cost-effective to operate, automated and digitally controlled for optimal drilling speed and tool wear. The proposed innovation is develop a novel next generation drill rig, which is mobile, AI-powered, and automated enabling deep well drilling at a cost of 150 € /m Vs. current 2000 € /m using 100X smaller land areas for the same energy output as 60 shallow wells. The data driven drilling approach outranks the competition and is the only economically viable alternative to productize the deep geothermal drilling concept. Drillers are transformed into process operators removing the skill labor shortage problem if finding skilled drillers. The competing brands have not yet integrated or brought to market digital measurement and control capability similar or even near of what the proposed innovation is set to deliver to markets. Activities in this program will make deep hole drilling a commodity. The target markets are global and the total market size is more than 2 billion euros per year of which we aim to capture ~4 %.

Keywords: geothermal energy,down the hole,dth,deep wells,artificial intelligence,automation,process control
VICTORHY: noVel topICal Treatment fOR severe hand HYperhidrosis (VICTORHY)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 4500000.0
EU funding (EUR): 4500000.0
Participants: 1
Project status: SIGNED

Dryox Health is an emerging company with an enthusiastic and committed multidisciplinary team, focused on developing solutions for acetylcholine-related diseases. Our first project aims at tackling primary hyperhidrosis (excessive sweating), a clinically disabling and socially impairing condition affecting 5% of the global population, 400M people, 24M EU citizens. Our primary goal is to provide an effective treatment for this condition, which, despite the large incidence and the tremendous impact on patient’s health and quality of life, currently lacks effective or affordable options. Our innovative therapy, Victorhy, utilises a topical anticholinergic to minimise severe side effects associated with existing treatments, and will be accessible through public reimbursement. To enter the market, Dryox Health employs a strategic approach by reprofiling existing molecules and pursuing licensing agreements with established pharmaceutical companies. This strategy enables us to speed up time-to-market and cut down development costs, so we can make drugs truly affordable and accessible for everyone in need. Regarding Victorhy, we have achieved significant milestones: the selection of the best active pharmaceutical ingredient, formulation of a stable gel, regulatory guidance and submission of a phase 2 clinical trial (CT) for approval. To further advance our efforts, we are seeking funds through the EIC Accelerator program. This will enable us to conduct clinical trials to validate the efficacy and safety of Victorhy in hand and axillary hyperhidrosis patients. Several investors are interested and committed to invest as long as we receive support from the EIC. Obtaining the EIC Accelerator funds will accelerate our business project and enhance negotiations with pharmaceutical partners. By combining our expertise with the support of investors, Dryox Health aims to have a positive impact on the lives of patients suffering from hyperhidrosis and socially-impairing diseases.

Keywords: primary hyperhidrosis anticholinergic compound topic treatment public reimbursement wellbeing
The Transatlantic Slave Trade and the Development of Europe (TASTADE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: United Kingdom,France,Brazil,Netherlands
Call: ERC SYNERGY GRANTS (ERC-2025-SyG, 2025)
Start date: 2026-09-01
End date: 2032-08-31
Duration (months): 72.0
Total project cost (EUR): 9999324.0
EU funding (EUR): 9999323.81
Participants: 5
Project status: SIGNED

Abstract From the sixteenth to the nineteenth centuries, slave traders of mostly European origin violently transported more than 12.5 million African men, women, and children to the Americas. This was the largest forced transoceanic migration in human history. Scholars have focussed on the effects of this migration on African and American history, while treating the slave trade’s effects on European societies as marginal. This supposition of marginality stems from two biases in existing research: a focus on the companies and individuals who directly outfitted slaving voyages instead of on the far larger group of people who invested in these voyages, and an over-emphasis on slave trade profits, leaving out many other relevant indicators of the economic, political, and cultural significance of slave traders. The trans-Atlantic slave trade and the development of Europe project (TASTADE) will correct this imbalance by identifying thousands of men and women who financed the slave trade and scrutinizing their embeddedness in their local, regional, national, and transnational contexts, to answer the following research question: How did the investors in the trans-Atlantic slave trade based inside and outside Europe shape the economies, politics, and cultures of Europe? TASTADE will transform existing scholarship by delivering a ground-breaking assessment of the national and trans-national networks that facilitated this trade and by linking these networks to key aspects of European development. In realising this overarching objective, TASTADE will reshape our understanding of the history of capitalism, colonial and commercial politics, and European culture. Our unique pan-European perspective relies on the distinctive synergy of approaches provided by the members of the core research team, who will inscribe the history of the trans-Atlantic slave trade fully into the story of European development and help European society confront, disclose, and memorialise the sl

Keywords: slavery,slave trade,trading companies,prosopography,investment,transnational analysis,legacies of empire
The first real-time monitoring and non-invasive medical device for personalised brain damage prevention during cardiac surgery (BrainProtect)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Lithuania
Call: EIC Accelerator Open 2024 (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 3571427.14
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

Over 2M Cardiopulmonary bypass (CPB) surgeries are carried out each year globally. Up to 83% of CPB surgeries result in neurological complications such as delirium and post-operative cognitive dysfunction (POCD) which significantly contribute to increased morbidity, disability, decreased quality of life and mortality rates up to 33% after 1 year. Only 45% of patients fully recover from neurological complications after 1 year post cardiac surgery, and in many cases severe brain damage is irreversible. Economic burden is huge amounting to €8.4B direct costs/year in the EU & US. Monitoring Cerebral blood flow autoregulation (CA) and maintaining adequate patient specific brain perfusion during CPB surgery is critical to prevent neurological injury. However, none of the current technologies is capable to identify cerebral blood flow autoregulation impairments before the neurons die within 4-5 minutes. This calls for the need for advanced solutions to protect patients’ brain and optimize neurological outcomes during CPB. ScienceForBrain has developed BrainProtect, a patented, novel periodic rectangular modulation of blood flow during CPB, making it possible for the first time to monitor CA transient functions almost in real- time and to identify start and finish moments of brain insults in individual patient with only 15-30 second delay. This enables targeted interventions to restore optimal personalised brain perfusion and protect the brain during CPB surgery. BrainProtect has the potential to reduce the risk of POCD and delirium by at least 50%, saving lives, improving QoL for patients and reducing €231M annually in direct healthcare costs. BrainProtect is currently at TRL6, we obtained excellent preliminary results in clinical trials with 173 patients, and we now need support from the EIC to perform a multi-centred, double-blinded, clinical trial including 300 patients in the EU to get regulatory approval and successfully launch BrainProtect in the market by 2027.

Keywords: cardiopulmonary bypass cpb,brain damage,post operative cognitive disorder pocd,delirium,cardiovascular diseases,cardiac surgeries,heart and lung machine,cerebral flow auto regulation