Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Composite material technology for next-generation Marine Vessel Propellers. (CoPropel)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Research and Innovation actions
Partnership: ZEWT (co-programmed)
Countries involved: Cyprus,Greece,France,Bulgaria,United Kingdom
Call: Innovative on-board energy saving solutions (ZEWT Partnership) (HORIZON-CL5-2021-D5-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 3309617.26
EU funding (EUR): 3309616.0
Participants: 11
Project status: SIGNED

CoPropel puts forth a holistic approach towards the realisation of marine propellers made of advanced composite materials. Compared to their traditional counterparts, marine composite propellers offer efficiency gains in propulsion efficiency, noise reduction and weight savings. The CoPropel project will see an interdisciplinary team of experts drawn both from research and industry, from theoretical considerations and numerical modelling to precision manufacturing - assembly and experimental verification testing. The CoPropel action brings together 9 organisations from 5 countries: 4 Research Institutes – TWI, University of Ioannina, Brunel University London and The Bulgarian Ship Hydrodynamics Centre; 4 Industrial partners – Loiretech, MECA, Danaos and Glafcos Marine with one certification body Bureau Veritas Marine & Offshore. Together, we will develop and bring to market a marine composite propeller with an embedded structural health monitoring system. The proposed activities will mature our Technology Readiness Level to 5-6 and drastically de-risk the integration of the investigated solutions on future products, effectively resulting in reducing the direct operating costs for the operators while minimising the environmental impact. Existing work by the partners has shown an approximate 12% reduction in energy consumption and subsequent fuel consumption, with the potential savings exceeding 15% at full-scale marine vessel propellers, which will be investigated and confirmed during our real-time sea trials as part of the CoPropel project.

Keywords: shipping,propellers,composites,efficiency,performance,design,manufacture,testing
ellpha.io: accelerate bias tackle and commercial footprint (ellpha.ioWomenEUTech)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: France
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-06-30
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Ellpha is a French company founded in June 2018 by two women founders : Stephanie Creff (CEO) and Brigitte Ricou Bellan (advisor). They were joined at the end of 2021 by Cyrille Duverne, COO. Ellpha’s vision is to create a fairer, more diverse world, using data and smart technology. Ellpha’s goal is to empower people detecting and acting on bias to create a better world. ellpha.io wants to drive results fast, when progress on diversity, equity and inclusion has been slowly incremented. Ellpha is a Social Science model designed into an AI. The DeepTech innovation resides in the AI bias detection engineTM. It offers unprecedented ability to uncover and surface hidden bias & stereotypes in real time and across growing data sets. The company differs from its competitors because it addresses the full talent flywheel, it is agnostic and pure player and it is designed to improve existing tools and talent management processes. Ellpha tackles root cause not symptoms ; it offers a scalable and dynamic solution and is not looking for neutrality but for diversity and contextualization. To date, ellpha.io offers a first commercial version of its solution, Talentuum, and of its “AI bias detection engineTM. It provides all managers with live coaching to avoid potential bias risks & with opportunities to self-reflect and amend their content. It also provides HR leaders with aggregated insights and analytics providing a picture of potential bias across segments and groups. Ellpha’s challenge now relies on deepening its high-tech solution and accelerating its commercial development. Being awarded by the Women Tech EU program would help the company to overcome some of its clients challenges : easing the appropriation of the solution by the development of a web based onboarding and trial package as well as integrating the SaaS solution with a key HR software of the market. The coaching and mentoring would help the founders to make their message more understandable by their clients.

Keywords: human resources,diversity,gender bias,
Gearboxes to shift modern robotics into high gear (R2poweR)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Belgium
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 36.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

AILOS BV is a deep-tech robotics start-up spun out of BruBotics, the Human-Centric Robotics Research Center at the Vrije Universiteit Brussel (VUB). Founded in March 2025, AILOS aims to overcome one of the main bottlenecks in robotics: the actuator gearbox. Current robots depend on strain-wave drives that are rigid, heavy, and energy-inefficient, constraining agility, safety, and affordability. AILOS has developed R2poweR, a breakthrough gearbox technology that combines ultra-high gear ratios with exceptional backdrivability—enabling lightweight, energy-efficient, and safe robotic motion. Robots powered by R2poweR can be up to 50 % lighter, consume less energy, and interact more naturally with humans, unlocking new capabilities for humanoids, cobots, exoskeletons, and assistive systems. Building on BruBotics’ 30 years of multidisciplinary expertise and a strong European innovation network, AILOS is advancing its technology from TRL 6 to 8 while preparing industrialization and pilot collaborations with leading robotics OEMs. Guided by an experienced team bridging academia and industry, AILOS’ mission is to make robots lighter, safer, more affordable, and more sustainable—empowering Europe’s transition toward human-centric, climate-friendly automation.

Keywords: robotics,humanoids,cobots,exoskeletons,prostheses,gearbox,actuator,backdrivability
Transforming Our World: Collections at the Heart of life-long learning and Education (TOWCHED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Netherlands,Serbia,Germany,Portugal,Belgium,Latvia,Greece
Call: Arts and cultural awareness and expression in education and training (HORIZON-CL2-2024-TRANSFORMATIONS-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 2653983.75
EU funding (EUR): 2653771.0
Participants: 10
Project status: SIGNED

TOWCHED will demonstrate transformative potential of inclusive, arts-based and heritage collections-mediated educational interventions for children and youth, using SDGs as the results framework. These interventions, piloted in collaboration between Creative and Cultural Industries (CCIs), Collections-based Organizations (CBOs) and educational institutions across Europe, will be critically assessed,providing a field-tested and well-supported roadmap to enriching our learning ecology with creative use of heritage, thus making Europe, and our world, a better place for all. Our innovative approach relies on the application of the Human Rights-based Approach (HRBA) as a project planning tool, which is foundational in Agenda2030 and the SDGs. TOWCHED will actively engage with children, young people, educators, creatives, heritage professionals, policymakers and professional development providers to ensure our goals and impacts are not only achieved, but that stakeholders can shape these goals in line with the principles of Leave No-one Behind, and the Right to Development. Furthermore, we will focus on lifelong perspectives, from early childhood education and care to young adult education in formal and non-formal learning environments. We will seek to empower CBOs to be more effective in supporting sustainable development through educational activities that foster people’s active, free, and meaningful participation. Our transdisciplinary approach will lead to creation of community of practice for competence-based sustainable development education and life-long learning rooted in our rich European heritage. The project will provide practical tools, and develop capacities to use these tools. In pursuit of these objectives, we will work closely with the transdisciplinary New European Bauhaus (NEB) and other similar initiatives. By integrating our project into this broader European movement, we aspire to contribute to the transformation of societies for a sustainable future.

Keywords: life long learning,collection based organizations,collections mediated interventions,art based learning,human rights,transversal competences,sustainable development goals
Computational and Experimental Enzyme Engineering for New Polymers (COMENZE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Portugal,Netherlands,Italy,Spain,Germany,Poland,Belgium,Finland
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2025-03-01
End date: 2029-02-28
Duration (months): 48.0
Total project cost (EUR): 2900888.23
EU funding (EUR): 2563653.6
Participants: 13
Project status: SIGNED

Polymeric materials are ubiquitous in our daily lives but they have a predominantly fossil origin, with low degradability at their end-of- life. Transitioning to a circular polymer economy requires a rethinking of the entire value chain, from the raw materials, tools, and processes used to polymer design degradation and recycling. Enzymes are eco-friendly and sustainable tools that tackle many industrial applications. However, biocatalysis in the polymer field remains mostly unexplored due to i) enzymes’ high cost and low stability under reaction conditions, ii) enzymes’ inefficiency in converting bio-based monomers into cost-effective building blocks, and iii) lack of knowledge in key enzyme-polymer interactions that can control the final polymer performance and degradability features. Computational tools have shown immense power to revolutionize the field of enzyme engineering in a time and cost effective way. However, there is currently a clear lack of researchers combining computational and experimental skills, capable of determining future directions for the optimization of biocatalytic processes for the sustainable molecular design of polymers. To foster the transition to a bio-based polymer industry, COMENZE aims to develop enzymatic strategies for improving the eco-design and development of future sustainable polymers. This will be achieved by combining cutting-edge computational and experimental approaches for enzyme discovery and engineering through in-silico modeling, simulation, and translation of results into wet labs to validate enzymatic reactions. COMENZE will train the next generation of researchers by equipping 10 DCs with the skills to revolutionize the polymer circularity by delivering new optimized enzymes and bioprocesses, newly identified bio-based building blocks, and functionalized polymers with innovative bio-upcycling and biodegradation end-of-life options.

Keywords: lignocellulose,lignin valorization,biorefinery,green chemistry,enzymes,biocatalysis,protein engineering,computational biochemistry
The Neural Underpinnings of Childhood Adversity (NUCA)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Romania
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-02, 2022)
Start date: 2023-09-01
End date: 2026-08-31
Duration (months): 36.0
Total project cost (EUR): 149575.68
EU funding (EUR): 149575.68
Participants: 1
Project status: SIGNED

Experiences of childhood adversity are major risk factors for subsequent vulnerability to psychopathology. Although research suggests that specific brain regions are particularly sensitive to childhood adversity, the mechanisms that underlie these associations are yet to be elucidated and it is unclear how widespread connectivity networks contribute to this vulnerability phenotype. This project aims to determine the functional connectivity networks in the brain that bare the signatures of negative experiences and the neuroendocrine mechanisms that facilitate such alterations. To achieve this, we propose two studies utilizing data from the UK Biobank. Study 1 will investigate the resting state networks associated with early adversity. This study will benefit from the statistical advantages of "big data". It will be the first analysis of this magnitude looking at the interplay between early life events and neural networks. Study 2 will characterize the inter-individual variations in adversity-related functional changes, by addressing the moderating effects of glucocorticoid-related genetic variants that increase biological vulnerability. This study will contribute innovatively to the state-of-the-art in the emerging field of imaging genetics. This research uses advanced statistical strategies for neuroimaging analysis of an unprecedented number of scans and use of innovative analysis infrastructures under the FAIR principles. Furthermore, it is strongly multidisciplinary, involving a combination of psychological theory, neuropsychology, neuroimaging, machine learning and genetics. This action will involve end-users in all implementation stages, with the aim to engage the public in science education, raise awareness of stress-related consequences and the need for widespread access to mental health care. The proposal encompasses knowledge transfer to the host institution, as well as extensive hands-on training for the candidate supported by the expertise of the host.

Keywords: childhood adversity chronic stress resting state functional connectivity networks big data polygenic risk scores genetic variants
Hydromechanical coupling in tectonic faults and the origin of aseismic slip, quasi-dynamic transients and earthquake rupture (HYQUAKE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 1462710.0
EU funding (EUR): 1462710.0
Participants: 1
Project status: SIGNED

Earthquakes and tectonic fault slip are among the most hazardous and unpredictable natural phenomena. Fluids play a key role in tectonic faulting and recent research suggests that fluids are central in both human induced seismicity and the mode of fault slip, ranging from episodic tremor and slip to slow earthquakes. However, the lack of accessibility to earthquake faults and the complexity of physical processes has limited our ability to develop holistic models for hydromechanical coupling in fault zones. Geophysical observations have the potential for illuminating precursors to failure for the spectrum of tectonic faulting, however we lack key laboratory data to connect these observations with predictive, physics-based models. The ambitious goal of HYQUAKE is to build a physically based framework to understand and predict fluid pressure induced fault slip for a range of fault motion, from aseismic creep to destructive earthquakes. The HYQUAKE approach is interdisciplinary and at the frontier of laboratory earthquake physics, seismology and data/computer science, with the goal of providing unprecedented quantitative constraints on the key physical processes that couple fault friction, the dynamics of strain localization and fluid flow controlling earthquakes and fault slip behavior. Specifically, I will build a research program around unusually well controlled rock deformation experiments tightly connected to numerical models of faulting. HYQUAKE will integrate lab data on fault zone elastic properties, frictional rheology, and hydromechanical parameters using state-of-the-art experimental equipment built within the project with machine learning to forecast labquake. Details of deformation processes, fluid flow, and fault failure will be imaged using novel acoustic techniques. These data will set the stage for the upscaling of laboratory observations to the prediction of natural faulting by coupling physics-based machine learning with 3D hydro-mechanical models.

Keywords: frictional stability,rock mechanics,machine learning,acoustic imaging,hydromechanical modeling
Circadian Control of Systemic Metabolism in Physiology and Type 2 Diabetes (CIRCAMET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Sweden,Denmark
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: SIGNED

Type 2 diabetes is a global epidemic, with prevalence of >500 million. The current obesogenic environment, favoring high caloric foods and physical inactivity, is a major driver of this epidemic. An evolutionarily conserved mechanism by which environmental factors impact whole body physiology is through internal biological clocks and the control of circadian rhythms. This machinery is a transcription/translation feedback loop that anticipates day/night cycles to optimize organismal physiology. However, the underlying mechanisms regulating metabolic rhythmicity and its role in type 2 diabetes pathogenesis remain enigmatic. Cellular energy sensors relay information about the environment to the circadian clock machinery, but the extent to which this biology can be modified to improve systemic metabolism is unknown. We will uncover mechanisms that underpin the relationship between the circadian clock, energy sensors, and metabolism and their dysfunction in type 2 diabetes. Our overarching hypothesis is that synchronizing energetic stressors to the molecular circadian clock may maximize the health benefits on metabolism. We will elucidate the mechanism by which the timing of energetic stressors acts on peripheral tissues controlling energy homeostasis. We will study temporal dynamics of cell and organ physiology, rather than snapshots in time. We will integrate “omics” analyses with rigorous physiological phenotyping of genetically modified mouse models, and clinical investigations in people with type 2 diabetes to temporally resolve dynamic networks of transcription, protein signaling, and metabolites, which synchronously control metabolism. In doing so, we will come closer to understanding the dynamic changes that occur with metabolic dysfunction. The work has the potential to make a breakthrough in clarifying underlying mechanisms for molecular regulation of metabolic rhythmicity, how this is perturbed in type 2 diabetes, and ultimately, insight into new treatments.

Keywords: circadian biology,type 2 diabetes,insulin resistance,endocrinology
Deep Spatial Proteomics: connecting cellular neighbourhoods to functional states (Spatial Proteomics)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1470851.0
EU funding (EUR): 1470851.0
Participants: 1
Project status: SIGNED

Health and disease states result from dynamic cellular interactions within spatially defined regions in tissues and organs. In diseases such as cancer, these interactions are often disturbed, but their systematic analysis with respect to their impact on the proteome, a close proxy for cellular function, has so far remained elusive. To overcome this major bottleneck in molecular biosciences, I propose to develop and apply Deep Spatial Proteomics (DSP), a multimodal strategy, which for the first time will link distinct cellular neighbourhoods within biological samples to functional proteome states. DSP will combine multiplex immunofluorescence imaging and machine-learning driven cellular neighbourhood profiling with single-cell sensitivity mass spectrometry (MS) based proteomics. Our preliminary data support the feasibility and strong potential of DSP to uncover novel disease mechanisms, drug targets and predictive biomarkers. After development and rigorous benchmarking, we will apply DSP to an already available retrospective cohort of advanced head and neck squamous cell carcinoma, where response rates for anti-cancer immunotherapy are only below twenty percent. The correlation of cell states and spatial neighbourhoods with clinical outcomes will allow us to identify cell communities of highest likelihood to be critical for treatment response and hence patient survival. Through their functional characterisation by deep MS based proteomics, we will not only gain unique biological insights into immunotherapy resistance and potential therapeutic targets, but also identify predictive candidate markers to improve patient stratification. This new concept will have strong implications for basic and translational research, far beyond the study of cancer immunotherapy. DSP could pave the way for a plethora of spatial proteomics applications with countless opportunities for discovery-driven biomedical research.

Keywords: spatial biology,single cell proteomics,cancer biology,tissue proteomics,digital pathology,multiplex imaging,personalised medicine,biomarker research,shotgun proteomics,cellular neighbourhoods