Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
HARD TO ABATE INDUSTRIES REPOWEREURING DIGITAL & DEEP-TECH STARTUPS TO SCALE IN EUROPE THROUGH CROSS-BORDER ACCELERATION IN LEADING ECOSYSTEMS (HARD2SCALE)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Greece,France,Austria,Romania,Italy,Finland,Slovakia,Portugal
Call: Startup Europe (HORIZON-EIE-2024-CONNECT-01, 2024)
Start date: 2025-07-01
End date: 2027-12-31
Duration (months): 30.0
Total project cost (EUR): 1499986.25
EU funding (EUR): 1499986.25
Participants: 8
Project status: SIGNED

HARD2SCALE aims to initiate a cross-fertilization process as the foundation of a cross border accelerator leveraging the disruptive potential of digital and deep-tech solutions from promising startups to enable green transformation pathways for Energy Intensive and Hard to Abate Industries (EEIs and HtA). HARD2SCALE is a joint effort of 8 expert organizations (4 from emerging/moderate ecosystems and 4 counterparts from leading/strong innovator ones) offering a complete set of services as a gateway to funding and markets. The HARD2SCALE cross border accelerator integrates the specific needs and challenges of emerging EU ecosystems by engaging local quadruple helix stakeholders in a consultation and co-design process leading to long-term, mutually beneficial collaborations. Building on the expertise, assets and networks of the consortium partners (including the EIC Community & BAS and Startup Europe), the HARD2SCALE support services aim to holistically enable startups align their technology development and IPR roadmap with the market deployment and funding needs. By drawing inspiration from the growth journeys of “hyperscalers” (startups with significant fundraising or commercial achievements in a short time period) from the consortium partners’ portfolios, the HARD2SCALE accelerator aims to enhance the investor and market readiness of 40 digital and deep-tech startups targeting 4 EEIs and HtA sectors before introducing them to relevant contacts. HARD2SCALE offers the 40 startups the possibility to join 2 leading ecosystems – Finland and France – where they will be introduced to relevant corporate business partners and investors. HARD2SCALE initiates an open innovation process where the connection between emerging and leading ecosystems will bring forward collaboration opportunities unleashing access to public and private funding and procurement opportunities, enabling digital and deep-tech startups to increase their footprint on the Single Market.

Keywords: hard to abate industries,energy intensive industries,digital and deep tech startups,hardware,materials and process startups acceleration,access to investments,access to markets and procurement
Genomic and Environmental factors of Resilience to Early-life Stress (GENRES)

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: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-15
End date: 2027-11-14
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 1
Project status: SIGNED

Early life stress (ELS), ranging from prenatal to postnatal challenges such as household dysfunction and child maltreatment, often co-occurs and affects over 60% of individuals worldwide, leading to adverse outcomes like psychosocial difficulties. However, individual responses to ELS vary, with some exhibiting remarkable resilience, such as maintaining high functioning or gradually improving. The GENRES project aims to uncover how genetic and environmental factors interact to foster resilience in individuals exposed to ELS. Using data from four large-scale population-based cohorts, GENRES will identify resilient developmental trajectories from childhood to adolescence and adulthood across emotional, behavioural, and cognitive functions. The project will analyse polygenic profiles (based on multiple polygenic scores) and environmental profiles (derived from multi-systemic family and social factors) that contribute to resilient trajectories (e.g., recovering or competent). Differential susceptibility effects will be tested, focusing on how sex, genetic predisposition, and temperament interact to influence individuals respond differently to environments, both negative and positive. The findings from each cohort will be integrated through meta-analysis, offering a comprehensive understanding of resilience to ELS across diverse populations and contexts. By bridging genetic and psychosocial research, the project will also contribute to a broader understanding of resilience, reducing stigma and shifting the focus from individual blame to systemic support. The outcomes of GENRES will inform public health strategies and interventions tailored to individual genetic profiles and resilience-promoting environments. Executing this project at the Max Planck Institute for Psycholinguistics will enhance my interdisciplinary expertise and support the development of innovative approaches to study resilience, thereby improving health and well-being for those exposed to ELS.

Keywords: early life stress resilience mental health cognitive functions developmental trajectories genetic factors polygenic scores psychosocial systems
Zonal Guided Liver Testing for liver disease diagnosis and stratification (ZONESHED)

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: Israel
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-05-01
End date: 2026-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is emerging as the leading chronic liver disease worldwide. Identifying MASLD patients that are at higher risk of rapid progression is an outstanding challenge, but it would enable focusing resources on the patients with high risk while saving un-necessary costly liver function tests and biopsies for the majority of patients. MASLD progression is influenced by the liver's spatial heterogeneity, where variable gene expression along the porto-central axes of its lobules leads to the disease starting in pericentral hepatocytes and spreading portally, with greater portal involvement indicating more advanced stages. As hepatocytes die, they shed their content into the blood stream, enabling capturing a snapshot of liver turnover patterns by transcriptomically profiling cell free RNA (cfRNA). During my ERC-COG, I resolved the genome wide zonation patterns of all hepatocyte genes, allowing to determine the zone of damage and stratify patients for early follow-up and treatment. In this PoC, I will validate a targeted transcriptomic test of cfRNA for MASLD diagnosing, consisting of zonated hepatocyte biomarkers and an associated machine learning (ML) algorithm. The anticipated outcome is a significant improvement in MASLD diagnosis, reducing healthcare costs, and improving patient outcomes by tailoring interventions based on precise molecular insights. To pave the way for commercialization of our cfRNA droplet digital PCR (ddPCR) kit and associated zonal damage ML classifier, I will explore the liver disease diagnosis market and value chain, identify and engage with relevant industry players and set up a commercialization plan with the aim of positioning our innovation as the new standard for diagnosing and managing MASLD patients.
Traumatic Spinal Cord Injury: The Need to Classify Disease Severity (SCIseg)

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: Life Sciences
Countries involved: Czechia,Canada
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-05-01
End date: 2026-04-30
Duration (months): 36.0
Total project cost (EUR): 269047.2
EU funding (EUR): 269047.2
Participants: 2
Project status: SIGNED

Traumatic spinal cord injury (tSCI) markedly reduces patients’ quality of life and economically burdens health systems. Neurological examinations and clinical magnetic resonance imaging (MRI) scans are currently insufficient for the proper classification of the tSCI baseline level (i.e., severity). Although MRI scans are routinely employed in tSCI patients, the MRI potential is not fully utilised due to the complexity of the analysis and diversity of MRI data across hospitals. The aim of this project is to propose a fully automatic and reproducible analysis tool that could be run by clinicians to improve the clinical management of tSCI patients. First, deep learning models for automatic spinal cord and lesion segmentation from MRI images will be developed to go beyond the currently used error-prone and time-consuming manual segmentations. The models will be trained on a multi institutional MRI dataset to be robust to MRI data heterogeneity across hospitals. Then, quantitative measures of the tSCI severity will be automatically computed from the segmented structures (i.e., spinal cord and lesions) and employed within the statistical model to predict tSCI severity. Finally, the developed methodology will be translated to the real-world healthcare system and tested on a prospectively acquired dataset of tSCI patients. Importantly, deep learning models, analysis pipeline, and statistical model will be seamlessly integrated into the current state-of-the-art ecosystem for spinal cord MRI data analysis and made publicly available to facilitate open science and reproducibility across hospitals. The project will create the first step in the improvement of care and clinical management in millions of patients with tSCI worldwide. In the longer term, after demonstrating the clinical relevance of the proposed tools, we assume that advanced MRI-based methods will be adopted by the larger clinical community for more personalised care.

Keywords: spinal cord,spinal cord injury,deep learning,magnetic resonance imaging
Reframing European Gastronomy Legacy through Innovation Sustainability and Heritage (RELISH)

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 the European Cultural Heritage and the Cultural and Creative Industries
Action type: Innovation actions
Countries involved: United Kingdom,Spain,Italy,France,Denmark,Ireland,Portugal,Canada
Call: Europe’s cultural heritage and arts – promoting our values at home and abroad (HORIZON-CL2-2024-HERITAGE-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 3857561.04
EU funding (EUR): 3857561.04
Participants: 13
Project status: SIGNED

Through an innovative and systematic approach to the understanding and use of traditional EU recipes via digital and AI-powered technology, RELISH embarks in the production of a visual and verbal food storytelling web platform that aims to mediate social cohesion, reinforce EU cultural heritage transmission at home and abroad through education and public engagement, while addressing sustainable practices in the EU hospitality sector.
Unique Research Asset for Nuclear Innovative Applications (URANIA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Materials response to harsh irradiation, temperature and corrosive media is preventing the successful exploitation of innovative nuclear fusion, advanced fission technologies for sustainable energy production and human exploration of faraway planets. Specifically, materials degradation and early failures hinder these scientific longstanding endeavours. The current paradigm to tackle these issues is to implement mitigating solutions or to characterise the surrounding environment to understand failure initiation and propagation. URÅNIA shifts this approach by focusing directly on understanding the incubation stage prior to initiation events. In this view, I will: i) create a novel gold standard to reveal the incubation stage of materials degradation phenomena; ii) reveal precursors affecting the transition from incubation to initiation, iii) link precursors nanoscale effect to macroscopic degradation behaviour. I want to accelerate the development of innovative nuclear technologies thanks to a new approach towards materials degradation investigation leveraging a combination of hierarchical analyses and interdisciplinary competences across nuclear, chemistry, materials science and engineering. URÅNIA ground breaking idea is to: 1. Create a system where I can measure time to initiation in controlled stress corrosion cracking (SCC) and pyrophoricity experiments. 2. Freeze at specific instants the incubation to initiation transition. 3. Reveal precursors using isotopic tracers with advanced microscopy. 4. Link precursors role at the nanoscale to the resulting macroscale effect using a neural network tool. 5. Compare precursors role in unirradiated and irradiated materials to elucidate the reasons for potentially enhanced SCC. URÅNIA changes the approach to investigate materials degradation, unlocking the development of innovative nuclear materials and potentially aiding materials design in all those key forefront technologies needed in energy and space.

Keywords: incubation initiation precursor oxide cracking pyrophoricity uranium compounds steels
Respiratory Precision Medicine PhD Training Network- Excellence through Systems Biology, Spatial and Single-cell Transcriptomics (RESPIRE-EXCEL)

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: Life Sciences
Countries involved: Netherlands,Germany,Sweden,Spain,United Kingdom,Belgium,Switzerland,Australia,United States,Denmark,France
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): 3388559.66
EU funding (EUR): 3280572.0
Participants: 27
Project status: SIGNED

Asthma and COPD are prevalent, chronic respiratory diseases, with high incidence and societal costs. Current treatment is based on a ‘one-size-fits-all’ approach, that suppresses symptoms, but fails to achieve stable remission of disease. There is an urgent need to replace these generic treatments with precision medicine for asthma and COPD. This transition is hampered by the complexity of asthma and COPD on the one hand, and by the lack of an integrated, multidisciplinary approach to achieve progress towards precision medicine for these chronic respiratory disorders on the other hand. The complexity of asthma and COPD is caused by multiple molecular mechanisms that independently contribute to the pathogenesis of disease. Their activity varies over time, and between patients, leading to substantial heterogeneity of asthma and COPD: identical clinical phenotypes can be caused by dissimilar molecular and cellular mechanisms, and requiring different treatments. The vision of RESPIRE-EXCEL is to achieve the transition to precision medicine in asthma and COPD by cross-sectoral and multi-disciplinary collaboration in respiratory research, drug discovery and development. The success of this approach depends on respiratory scientists with the competence to combine expertise across disciplines, and the skills to collaborate with experts from industry, healthcare and academia. Therefore, the goal of RESPIRE-EXCEL is to enable the transition to precision medicine for asthma and COPD by training the next generation of translational and physician scientists with the skills, cross-sectoral competences and multidisciplinary knowledge to identify the molecular mechanisms of asthma and COPD, develop improved prognostic and diagnostic biomarkers to detect their activity in individual patients, and support the development of novel treatments that target individual disease mechanisms, aiming to achieve stable remission of disease in asthma and COPD through precision medicine.

Keywords: systems medicine chronic respiratory diseases asthma and copd precision medicine
Improve offshore infrastructure resilience against geohazards towards a changing climate (POSEIDON)

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: Information Science and Engineering
Countries involved: Netherlands,Norway,France,United Kingdom,Germany,Belgium,Denmark,Italy
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 2780668.8
EU funding (EUR): 2780668.8
Participants: 16
Project status: SIGNED

POSEIDON brings together an interdisciplinary and intersectoral team to deliver a professionally trained next-generation network of Doctoral Candidates to develop a step change in our capacity to identify, map, assess and predict offshore geohazards and in turn produce ground-breaking methods to prevent, mitigate and boost the resilience of current offshore infrastructure under a changing climate. The consortium is formed by experts across EU countries with universities, research institutions, industry partners and a government body to cover a full training programme on scientific and transferable skills. The programme will undertake critical research across scales (from micro to macro) for seeking the inner links and differences, with an eventual aim to ascertain the pathways and grow our capacity for the enhancement of the existing and the robust development of new offshore infrastructure in the frame of safety and resiliency. In addition to the informed design and implementation of the novel physical/numerical modelling and lab studies, our approach is unique in the solid integration and utilisation of state-of-the-art data science technologies (e.g., data mining, machine learning, etc.) to their full potential. Only through this systematic approach, we can achieve the objectives of understanding the impact of offshore geohazards on our offshore critical infrastructures (OCIs) and developing novel models, tools and designs for future OCIs, such as, wind turbines, pipelines and cables. The Doctoral Candidates will enjoy a highly integrated, interdisciplinary and intersector training environment, enriched through secondments with the network of non-academics. POSEIDON enables critical learning across all training aspects to ensure that comprehensive, robust and implementable solutions are obtained and validated to face the OCIs climate-resilient building.

Keywords: pfem lbm dem microstructure sustainability resilient
ORigin and evolutION of biodiversity at the microevolutionary and macroevolutionary scales in swallowtail butterflies (ORION)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Patterns of species distribution across space, time, and taxonomic groups have long fascinated scientists. The origins of species diversity lie in speciation events, and uneven species richness is evidence of different rates of speciation. Understanding the drivers of biodiversity has taken two approaches: either focusing on allelic frequency variation and quantitative trait evolution within species (microevolution) or examining speciation rates and phenotypic evolution across species (macroevolution). However, a conceptual gap persists between these fields that questions the ability of microevolutionary processes to explain macroevolutionary rates. The concept of speciation is a critical link between these scales, with population-level processes theoretically influencing macroevolutionary rates. Reconciling micro- and macroevolution has produced conflicting evidence on the relationship between population-level processes and macroevolutionary rates, highlighting the need for further investigation. In this context, the ORION project will bridge the gap between micro- and macroevolution to address a pressing question in biodiversity research: can microevolutionary processes reliably predict macroevolutionary rates? Using a multidisciplinary approach focused on swallowtail butterflies (Papilionidae) – an iconic insect family with well-understood systematics and taxonomy of 640 globally distributed species – we will collect and integrate genomic, phenotypic, and ecological data at both species and subspecies levels. We will test whether population isolation, reproductive isolation, ecological and phenotypic differentiation, and population persistence (microevolutionary processes) play a role in controlling speciation rate and rates of phenotypic and niche evolution (macroevolutionary rates). The project aims to elucidate the intricate connections between micro- and macroevolutionary processes and to provide insights into the mechanisms that shape biodiversity gradients.

Keywords: data collection,ecological niche modeling,genomics,global scale,insects,multidisciplinary research,papilionidae,phenotypic evolution,rates estimation,speciation