Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A BREAKTHROUGH ALIPHATIC POLYURETHANE VIA REACTIVE INJECTION MOULDING TO DELIVER A NEW GENERATION OF SOLID SURFACE MATERIAL SYSTEMS (ARCESSO SOLID)

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 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 48.0
Total project cost (EUR): 2161793.0
EU funding (EUR): 2161793.0
Participants: 1
Project status: CLOSED

Arcesso Solid® is a next generation advanced solid surface material (SSM). Our patented disruptor consists of an Aliphatic Polyurethane (PU) material and intensified manufacturing process. This innovation makes it possible for the very first time to injection mould PU for obtaining a configurable advanced SSM material in complex designs- previously unobtainable with standard SSMs (currently limited to simple forms like kitchen tops, shower trays)-, offering almost unlimited and unprecedented properties (hardness, impact resistance, heat and chemical resistance, photocatalytic, antimicrobial, aesthetic). To date, it has not been possible to manufacture Solid Surface parts from PU due to a series of limitations, e.g. shrinkage effect during processing leading to visible defects in the final part or ‘yellowing’ of the final product. Our manufacturing process reduces cycle times, energy consumption and carbon footprint for competitively manufacturing a whole new range of previously unobtainable PU injected complex geometric designs offering improved technical performance, sustainability and environmental credentials that outperform their conventional Acrylic resin or Isophthalic resin-based counterparts. Our Arcesso Solid® disruptor pushes the limits of what SSMs can accomplish, opening a whole new range of industrially strategic and game-changing applications in energy (resistant, durable, repairable and recyclable rotor blades for wind turbines), in mobility (lightweight automotive components and haptic touch, or electric vehicle charging stations), in electronics (ATMs, medical diagnostic devices), and construction (ventilated and energy efficient façade panels, bathroom sanitaryware...). Arcesso Solid® positions us to enter the global advanced polymers market valued at $55 billion in 2024 and projected to reach $109 B in 2030 (12.1% CAGR) and underpinned by significant industry, political and sustainability factors that are driving the adoption of innovation.

Keywords: aliphatic polyurethane reactive injection moulding solid surface materials
Trusted Nutrition Language Model (T-NLM) (Spoon Guru T-NLM)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 30.0
Total project cost (EUR): 2300000.0
EU funding (EUR): 2300000.0
Participants: 1
Project status: CLOSED

Spoon Guru is a deep technology company pioneering artificial intelligence for personalised nutrition. With a proven record in large-scale AI deployments, its platform powers major global retailers such as Tesco, analysing over 14 billion food data points daily to deliver accurate, personalised dietary guidance. Its credibility is reinforced by partnerships with the British Dietetic Association and Coeliac UK, and by independent validation showing 99.3% accuracy in recommending safe foods for nut allergy sufferers, matching expert clinician performance. Building on this foundation, Spoon Guru is developing the Trusted Nutrition Language Model (T-NLM), a domain-specific AI framework for clinically credible nutrition guidance. Unlike generic models, T-NLM is built on Spoon Guru’s proprietary nutrition ontology and expert-verified dataset, refined over eight years of research. The company’s multidisciplinary team, spanning AI engineering, data science, clinical nutrition, and regulatory affairs, ensures technical rigour, medical compliance, and real-world impact. Spoon Guru’s innovation is further strengthened by strategic alliances with leading retailers including Tesco and Woolworths and by a technology partnership with Google Cloud, supporting scalable AI deployment and integration. Together, these capabilities and collaborations demonstrate the company’s readiness to deliver trusted, medically robust, and commercially deployable AI solutions for personalised nutrition at global scale.

Keywords: ai powered personalised nutrition,medically tailored diets,glp 1 support,hybrid neuro symbolic model,clinical validation,ce marking,patient adherence,nhs integration,scalable health impact
Reinforce the Ethical and Regulatory Ecosystem for the Transformation of Clinical Trials Oversight in Ethiopia, Tanzania and beyond (RER-CTO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Coordination and support actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: Norway,Ethiopia,Sweden,Tanzania, United Republic of
Call: Strengthening ethics and regulatory capacity (HORIZON-JU-GH-EDCTP3-2023-01, 2023)
Start date: 2024-07-01
End date: 2027-06-30
Duration (months): 36.0
Total project cost (EUR): 926152.5
EU funding (EUR): 926152.5
Participants: 7
Project status: SIGNED

Why RER-CTO?: The conduct of clinical trials requires competent ethics committee and regulatory authorities that can review clinical trial applications and monitor processes independently and efficiently ensuring the safety of clinical trial participants, and the integrity and reliability of the generated data. The capacity of most African regulatory authorities regarding clinical trial review and oversight is weak due to poor infrastructure, limited resources both human and financial, lack of expertise, un-conducive working framework and lack of systems adequately supported by technology. Collaboration between academia, international organizations, National ethics committees (NECs) and national regulatory authorities (NRAs) are mandatory to produce sustainable regulatory skills and functional clinical trial oversight systems. The RER-CTO consortium consists of a group of well reputable clinical trial researchers, regulatory authorities, ethics committees, universities and research institutes in Ethiopia, Tanzania, Norway, and Sweden. Our aim is to achieve ethics and regulatory excellence and harmonization in sub-Saharan Africa in clinical trial oversight (CTO) by improving the legal and policy framework by identifying gaps and making recommendations, improving regulatory and research ethics oversight capacity and capability by digitalising the clinical trial oversight systems and developing training programs to strengthen competency of relevant stakeholders, and strengthening local, regional, and international collaborations and coordination of NECs and NRAs for clinical trial oversight by developing joint clinical trial review guidelines. These efforts are geared towards increasing clinical trials in sub-Saharan Africa, standardization of clinical trial review and monitoring processes, and promoting ownership, efficiency, linkages for data sharing, transparency, and accountability of clinical trial review processes.
Exploring the Dawn of the universe using Ab-Initio Simulations (EDAIS)

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: Physics
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Inflation, the accelerated expansion of the early universe, is a leading mechanism for explaining the origins of perturbations in the primordial universe. During this epoch, tiny quantum fluctuations are imprinted in the primordial density field, serving as the initial conditions for the formation of all structures in the cosmos. To date, predictions from inflation have been limited to analytical techniques based on perturbation theory. The EDAIS proposal aims to revolutionise our understanding of primordial fluctuations and their role in structure formation by developing the first ab initio cosmological simulation. This simulation will begin deep within the inflationary era and extend to the present-day distribution of matter in the universe. This groundbreaking technology will surpass standard approximations, offering new insights into the properties of the large-scale structure predicted by inflation. Recent advances in lattice simulations of inflation have enabled predictions of non-Gaussian primordial fields, emerging from interactions during inflation. The initial phase of the EDAIS project will focus on significantly enhancing these simulations. Once the necessary resolution and accuracy are achieved, the resulting primordial density field will serve as the initial condition for state-of-the-art N-body simulations. This comprehensive approach will allow for the creation of physical maps of the present-day universe, which will be benchmarked against standard approximations to assess the strength of this novel methodology. The anticipated outcomes include an open-source ab initio code and ab initio maps of the universe for selected cosmological models, all publicly available for the research community. This technology is expected to establish a new standard in cosmology, benefiting both theoretical and observational researchers, as well as major experimental collaborations.

Keywords: inflation,cosmological simulations
INTEGRATED DIGITAL SOLUTION FOR SUSTAINABLE AND RELIABLE MANAGEMENT OF INTERNATIONAL RENEWABLE ENERGY SYSTEMS. (INTEREST)

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: Research and Innovation actions
Countries involved: Norway,Germany,Spain,Slovenia,Sweden,Australia,Brazil
Call: Digital solutions for defining synergies in international renewable energy value chains (HORIZON-CL5-2023-D3-03, 2023)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 2999772.5
EU funding (EUR): 2999772.5
Participants: 9
Project status: SIGNED

The increase in energy demand in industry, buildings, services, and transportation together with the associated greenhouse gas emissions bring great challenges to the energy sector. To face them, this sector must aggressively look for more efficient ways of operations so as to support this growing consumption, avoid supply problems and, at the same time, reduce operating costs. The answer to these challenges lies in digitalization, which is one of the essential pillars for the transformation of this sector in Europe and worldwide. INTEREST goes beyond the state of the art, with the objective of developing a hierarchical distributed Model Predictive Control for real-time monitoring and energy management of renewable energy systems with improved features such as sustainability, stability, reliability, and replicability. This objective will be addressed using innovative tools that will bring intelligence to the system, allowing a more preventive than reactive performance, which is fundamental to overcoming the challenges already presented. Such innovations are essential to increase the system's efficiency by improving the control of the energy flows. INTEREST will bring to practice the concepts of predictive maintenance and joint energy and health management by using data intelligence for a better understanding of demand, predicting, and anticipating undesirable faults in a self-healing operation. The ending status of INTEREST concept can be expressed by TRL5 aiming to boost the European outstanding position in global applied science. This way INTEREST solution presents a great potential of being a leading exporting technology focusing on the emergent markets worldwide and ensuring the political priorities of sustainable. Strongly aligned with the EU policy framework for climate and energy, the outcomes are oriented towards the development of comprehensive, innovative, and evidence-based frameworks to move Europe into a technological leadership position in this field.

Keywords: microgrid,energy forecasting,model predictive control mpc,digital twins,cyber security,
Investigating the contribution of the sensory visual cortex for REpresentation and STORagE during visual working memory. (RESTORE)

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: Social Sciences and Humanities
Countries involved: Cyprus,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2028-08-31
Duration (months): 36.0
Total project cost (EUR): 252968.16
EU funding (EUR): 252968.16
Participants: 2
Project status: SIGNED

Visual working memory (VWM) is the cognitive process responsible for temporarily maintaining in mind visual information that is no longer in view. The neural architecture of VWM has been of continuous scientific interest and it has been proposed that the sensory visual cortex is involved in the brain network responsible for successful REpresentation STOragE during VWM. However, the contribution of the sensory visual cortex in VWM remains a subject of intense debate, underscoring the need for a decisive investigation. RESTORE aims to shed light on this debate. Through a three-way transfer of knowledge, RESTORE will lead to contemporary methodology, by combining transcranial magnetic stimulation (TMS) with electroencephalography (EEG), resulting in a robust and cost-effective approach for studying VWM. By combining TMS with EEG, RESTORE will surmount the limitations of previous work (e.g., the correlational nature of brain-imaging studies, the lack of evidence for neural activity in brain-stimulation studies) and thus result in causal evidence for the role of the sensory visual cortex during VWM. This scientific leap will not only resolve a longstanding controversy but also introduce an efficient approach for conducting neuroscientific research, hence contributing to the literature and advancing the current state-of-the-art. In addition, RESTORE will enhance the expertise repertoire of the researcher and the participating organisations. In turn, this will establish a strong foundation for pursuing ambitious and innovative research in the future, as well as provide knowledge and skills for training future researchers in contemporary research. RESTORE's innovative integration of TMS and EEG aims to decisively illuminate the longstanding debate about the role of the sensory visual cortex in VWM and lays a solid groundwork for future ambitious investigations, while fostering expertise and knowledge transfer for the next generation of researchers.

Keywords: visual working memory sensory recruitment transcranial magnetic stimulation visual short term memory
Realizing the benefits of safety-security co-analysis through effective tool support (RUBICON)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2024-12-01
End date: 2026-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Effective tool support for the joint analysis of safety and security risks is long overdue. Risk management is an important activity to ensure the reliable functioning of technology, such as power plants and self-driving cars. Risks include both safety (= accidental failures) and security aspects (= malicious attacks). Historically, safety and security risks have been analyzed in isolation, despite often conflicting with each other. Effective decision-making requires considering safety and security risks in combination, as measures that increase safety may decrease security and vice versa. My Consolidator Grant CAESAR has laid out the groundwork for a safety-security co-analysis framework: (1) A graphical risk model, mapping how vulnerabilities and failures propagate and cause system-level disruptions; (2) efficient algorithms to compute risk metrics, indicating how well a system performs in terms of safety-security. (3) algorithms that quantify the uncertainty of the analysis algorithms. In RUBICON, I will develop a PoC software tool that supports methods from CAESAR, advancing from TRL1 to TRL3. Key challenges to be tackled include: • Scaling up analysis methods to handle industry-size problems, by tailoring algorithms to work with specific subclasses that appear in practice. • Improve the interpretability of calculated outcomes. We will develop diagnostic feedback methods based on counter example analysis and importance factors. • Multi-objective optimization techniques. When dealing with multiple, interdependent parameters, conflicting requirements often arise, due to resource constraints and varying priorities. RUBICON will develop optimal strategies to effectively balance such conflicts, exploiting and advancing Pareto-analysis. The proof-of-concept tool will be tested and validated via lab and pilot studies across different industrial domains. A serious market analysis will lay out an actionable strategy to commercialize the PoC tool post-project.
Education policies that work: A context-sensitive ‘big data’ approach (EDUPOL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1930120.0
EU funding (EUR): 1930120.0
Participants: 2
Project status: SIGNED

In the last decades, profound socio-economic changes have posed unprecedented challenges to the traditional centralised model of state-provided education. This has led many countries to adopt neoliberal educational policies (NLPs) promoting school autonomy, competition and accountability as leverages for school effectiveness. Yet, given increasing societal inequalities, we are also witnessing a resurgence of democratic inclusive educational policies (DIPs) with egalitarian aims. Although these different policies can coexist, they have so far been scrutinised separately. EDUPOL develops the first comprehensive comparative analysis of the interplay between NLPs and DIPs. By building on the concepts of policy configurations and context-specific effects, the project proposes a paradigmatic shift from the focus on ‘what works’ to ‘what combinations of policies work for whom and in which circumstances’. It pursues four key aims: 1) to investigate the trends and diffusion of NLPs and DIPs across the globe in the last four decades; 2) to assess their effects on quality and equality in students’ (cognitive and socio-emotional) competencies and civic engagement; 3) to map within-country school-specific policies; 4) to uncover the heterogeneous effects of school-level policies across schools and territories. EDUPOL builds a novel macro-longitudinal dataset of educational policies and integrates insights from international repeated cross-sectional data, ground-breaking Italian big data (millions of student records, textual data from school reports, administrative archives, satellite data), student population panel data and qualitative interviews with key school actors to achieve its ambitious objectives. By combining qualitative comparative analysis, spatial panel regression, flexible machine-learning techniques and causal-inference methods, the project will significantly advance our understanding of the conditions under which educational policies work.

Keywords: educational policies social inequalities students schools big data evaluation
High-dimensional electrical stimulation for visual prosthesis (HYPERSTIM)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Belgium,Spain,Hungary
Call: Tools to measure and stimulate activity in Brain Tissue (HORIZON-EIC-2021-PATHFINDERCHALLENGES-01, 2021)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 2105228.0
EU funding (EUR): 2105228.0
Participants: 4
Project status: SIGNED

Future advanced neuroprostheses will need to transfer orders of magnitude more information to the brain than currently possible. This is most urgently needed in visual prostheses. Improving the electrode count will be part of the solution: a next generation of visual prosthesis will most probably be based on the insertion of over 1000 microelectrodes in the visual cortex. Still, current visual prostheses use very simple stimulation patterns, in which at most the stimulation amplitude is modulated. We propose to explore a second, complementary approach to brute scaling: using the available electrodes more efficiently by applying sophisticated stimulation protocols. Our main objective is to achieve a fundamental breakthrough in the spatial resolution of electrical brain stimulation to restore vision, obtaining a resolution of at least 20X the number of electrodes that are physically present. The vast number of possible stimulation combinations calls for a radically new research methodology, integrating modeling and state-of-the-art neuroscience methods at every spatial scale (from single neurons to the entire brain) in a closed-loop optimization process. With this combination of techniques, we will study which stimulation patterns effectively induce sufficient neural activations in higher areas (i.e. ignition) and cause visual perceptions. Thus, we will be able to explore the vast, hyperdimensional search space of possible stimulation patterns, and produce a set of in vivo tested stimulation patterns that are capable of eliciting distinguishable physiological and behavioral responses. The obtained order-of-magnitude improvement in resolution will spur the development of breakthrough prostheses that will be widely adopted by blind patients, and bring the field of neural interfacing to the next level.

Keywords: vision,microstimulation,decoding,imaging