Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SMART SENSORS AND SELF-HEALING FUNCTIONALITIES EMBEDDED FOR BATTERY LONGEVITY WITH MANUFACTURABILITY AND ECONOMICAL RECYCLABILITY (SALAMANDER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Norway,Spain,United Kingdom,Sweden,Slovenia,Czechia,Germany
Call: Embedding smart functionalities into battery cells (embedding sensing and self-healing functionalities to monitor and self-repair battery cells) (Batteries Partnership) (HORIZON-CL5-2022-D2-01, 2022)
Start date: 2023-05-01
End date: 2026-10-31
Duration (months): 42.0
Total project cost (EUR): 4304716.25
EU funding (EUR): 4304714.0
Participants: 12
Project status: SIGNED

The core concept of the SALAMANDER project is to develop and integrate embedded sensors and self-healing functionality in Li-ion batteries (LIB) to enhance their quality, reliability, and lifetime. This is achieved by demonstrating “smart” aspects in the battery which analyze indicators of its own degradation and independently respond with external stimuli to trigger on-demand self-healing. To achieve this goal, the project proposes 3 types of sensors with 2 types of self-healing mechanisms to counteract the most threatening and damaging reactions that occur in a typical LIB. On the anode, a resistance sensor array will be printed onto its surface to sense the degree of electrode fracture in the silicon/carbon composite anode. The anode will be embedded with a self-healing polymer network which upon thermal activation helps re-bind the silicon nanoparticles. For the cathode, an electrochemical sensor array is printed onto the separator to sense the dissolution of Mn from the LiNiMnCoO2 (NMC) cathode. To prevent Mn ions from critically degrading the cell, the cathode will be embedded with heat-activated scavenging species which remove these ions. Lastly, an internal temperature sensor helps control the degree of thermal activation. In each degradation scenario, the sensors communicate with the battery management system (BMS), which uses a physics-based model to trigger controlled heating to activate self-healing. Additionally, a life cycle assessment will be conducted to validate the recyclability of the SALAMANDER battery and quantify how the environmental impact of manufacturing is offset by longer-lasting batteries. Thus, although the project’s technology is anticipated to be disruptive at the cell and BMS levels, its design would remain compatible with existing manufacturing and recycling processes. These outcomes thereby help meet the goal of BATTERY 2030+ for a competitive, sustainable European battery value chain and a more circular economy.

Keywords: self healing polymers,integrated battery sensing,battery management system,life cycle assessment,operando characterisation,electrochemical sensor,sacrificial salt,scavenging vesicle
Tracing single-cell scale chemical signaling between interacting soil fungi (INTERSPEC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Sweden,Netherlands
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): 1493364.0
EU funding (EUR): 1493364.0
Participants: 2
Project status: SIGNED

Multiple species of fungi co-exist in soils and play an important role in biogeochemical cycles. To survive in a resource limited environment, they have developed the means for interspecific communication and warfare via an arsenal of secreted secondary metabolites. Specific ecological role of those metabolites and the extent to which they affect biogeochemical cycling during fungal interactions remains unknown. Because they are secreted and act at a single-cell scale, tracing them ‘then and there’ can aid in identifying potential triggers for their production and clarifying their function. Currently used methods have either insufficient resolution or are destructive, and are not suitable for such analyses. Here, I will use my expertise in spectroscopy techniques to (1) establish experimental protocols for the single-cell scale fungal secondary metabolite identification and characterization using surface-enhanced Raman scattering (SERS) microspectroscopy - a method that employs optical properties of gold nanoparticles for molecule specific sensing and that has been shown in biomedical research to have an extraordinary potential for studying microbial metabolic processes. I will combine it with microfluidics based soil chips, that provide visual access to and mimic real ecosystems via control over biotic and abiotic environment of soil microbes. Ultimately, my aim is to offer the community of soil fungal ecologists with a game-changing new tool to study ecosystem functions of secondary metabolites in more realistic settings. I will then use the approach to (2) determine how interspecific fungal interactions under varying nutrient conditions affect the composition of their secondary metabolome and its functions live and at single-cell scale. Additional transcriptome analysis will (3) reveal fungal genes involved in up- or downregulation of the metabolite biosynthesis, but also extracellular enzyme production for organic matter degradation and nutrient acquisition.

Keywords: surface enhanced raman scattering spectroscopy sers soil fungal interactions secondary metabolites microfluidic soil chips fungal warfare
Mechanisms and evolutionary significance of hyperploidy variations in a long-lived parasitic cancer (HYPERCAN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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 STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: SIGNED

Transmissible cancers are fascinating recently discovered biological entities. They have acquired the ability to cross host boundaries and spread between animals, even sometimes interspecifically, by the direct transfer of cancerous cells. In addition, despite asexual reproduction they have been shown to persist for hundreds or thousands of years in host populations. Importantly, in the absence of known sexual-like reproduction mechanism, transmissible cancers must cope with clonal degeneration. One challenging question that arises is to understand the evolutionary processes and molecular mechanisms by which genetic diversity can maintain in such a long-term clonal context. Several transmissible cancer lineages have been described in Bivalvia and they have all in common hyperploidy. Some distinct sub-lineages (with a common founder host) coexist in host populations with specific degrees of hyperploidy (2 to 10 times the host cell DNA content). Hence, the hypothesis that hyperploidization concurs to the persistence and long-term evolution of these transmissible cancers must be considered. HYPERCAN aims to decipher the evolutionary significance of hyperploidy and of its variation to amplify clonal heterogeneity in mussel transmissible cancers (MtrBTN). We will use a multi-disciplinary approach combining phenotyping and “multi-omics” in order to test evolutionary hypotheses. We will answer 3 main questions: 1. Ploidy and fitness. Does a correlation exist between ploidy degrees and fitness? 2. Evolutionary dynamics. How does evolution proceed in MtrBTN cancers? 3. Hyperploidization mechanisms. How is hyperploidy generated and what is the fate of newly evolved hyperploid lineages? The project will have multiple outputs and applications among which to understand the genetic mechanisms driving the evolution of long-living cancers and to provide useful elements for the assessment of evolutionary and phenotypic effects associated with hyperploidization in cancers.

Keywords: long term evolution,transmissible cancers,ploidy variations,whole genome duplication,clonal reproduction,cell cell fusion,marine mussels
FOSTERING TALENT ECOSYSTEMS FOR EARLY-STAGE RESEARCHERS IN DEEP TECH (DeepTechSeeds)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Reforming and enhancing the European R&I System
Theme: Reforming and enhancing the European R&I System
Destination: Reforming and enhancing the European R&I System
Action type: Coordination and support actions
Countries involved: Greece,Spain,Malta,France,Portugal,Czechia
Call: Talent ecosystems for attractive early research careers – pilot (HORIZON-WIDERA-2024-ERA-02, 2024)
Start date: 2025-10-01
End date: 2028-09-30
Duration (months): 36.0
Total project cost (EUR): 1999772.5
EU funding (EUR): 1999772.5
Participants: 8
Project status: SIGNED

DeepTechSeeds addresses the critical need for a highly skilled and adaptable research workforce in Europe's deep tech sectors. As global competition intensifies in fields such as artificial intelligence, quantum computing, robotics, and advanced materials, the project aims to create a dynamic and interconnected talent ecosystem that seamlessly bridges academia, industry, and the public sector. The project's core objective is to reshape the landscape of early research careers in deep tech fields by implementing a comprehensive framework based on the new Charter for Researchers. This framework will guide participating organizations through a process of structural change, creating more attractive and sustainable career pathways for Early Career Researchers (ECRs). DeepTechSeeds will: 1. Develop and implement a tailored DeepTech Framework for applying the Charter for Researchers in deep tech sectors. 2. Enhance ECR competencies through targeted training modules and open innovation programs, training at least 500 researchers. 3. Facilitate balanced talent circulation across sectors and regions, establishing at least 10 new cross-sector collaborations. 4. Create a digital DeepTech Talent Ecosystem Platform to facilitate networking, knowledge exchange, and career opportunities. 5. Organize open innovation challenges to foster collaboration between ECRs and industry partners. 6. Provide evidence-based policy recommendations for scaling the talent ecosystem model across the European Research Area. DeepTechSeeds serves as a comprehensive effort to create a self-sustaining ecosystem that nurtures talent, drives innovation, and strengthens Europe's position in critical deep tech fields. By addressing the challenges faced by ECRs holistically – from working conditions and skills development to cross-sector mobility and open innovation – the project aims to transform the nature of research careers in Europe.

Keywords: deeptech,ecosystems,ecr
Climate-Resilient Development Pathways in Metropolitan Regions of Europe (CARMINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Climate
Destination: Climate sciences and responses for the transformation towards climate neutrality
Action type: Research and Innovation actions
Countries involved: Romania,Spain,Italy,Czechia,Germany,Denmark,Greece,Switzerland,France,Belgium,United Kingdom
Call: Modelling for local resilience - Developments in support of local adaptation assessments and plans (HORIZON-CL5-2023-D1-01, 2023)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 10174702.5
EU funding (EUR): 10174699.0
Participants: 34
Project status: SIGNED

The frequency and intensity of climate and weather extremes associated with anthropogenic climate change are increasing and will challenge us in terms of adaptation strategies at the local level. The project “Climate Resilient Development Pathways in Metropolitan Regions of Europe (CARMINE)” bridges the local and regional scales by providing impact-based decision support services and multi-level climate governance supporting local adaptation, including both traditional and Nature-Based Solutions. CARMINE’s overarching goal is to help the metropolitan communities of Europe become more climate resilient, by co-producing knowledge-based tools, strategies, and plans for enhanced adaptation and mitigation actions in line with the Charter of the EU Mission on Adaptation to Climate Change by 2030. To achieve this goal, focusing on the 2030-2035 timeframe and with longer perspectives up to 2050, CARMINE proposes an interdisciplinary approach aiming at (1) co-creation and co-development of decision-support services and guidelines for enhanced resilience and adaptive capacity, including early warning and disaster risk management systems; (2) cooperating closely with local to regional communities (stakeholders and users), decision-, and policy-makers (local authorities) to co-develop cross-sectoral frameworks for adaptation and mitigation actions; (3) delivering science-based R&I roadmaps for multi-level climate governance supporting local adaptation assessments and plans. The CARMINE methodology will be implemented in eight selected Case Study Areas to demonstrate proof of concept and project methodology will be demonstrated through the digital replication of climate and socio-economic characteristics of each area. The co-created knowledge and transferable development pathways from CARMINE will be shared widely via project networks in order to drive adaptation in other metropolitan regions of Europe, and beyond.

Keywords: climate adaptation modelling and risk assessment,local adaptive capacity to climate change,science based decision making for resilience to climate change,climate resilient development
Human Stem cell-based technologies to model PARKinson’s disease and drive patient-specific cell therapy (SPARK)

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: Italy,Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-03
End date: 2025-04-02
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 2
Project status: CLOSED

Loss of dopaminergic (DA) neurons in midbrain underlies motor dysfunction in Parkinson´s disease (PD). PD is one of the most challenging neurodegenerative diseases to study due to the limitations of existing model systems in recapitulating its complex etiology resulting from individual risk variants, distinct genetic and epigenetic backgrounds, and age-related environmental triggers. The SPARK project (Human Stem cell-based technologies to model PARKinson´s disease and drive patient-specific cell therapy) will use induced pluripotent stem cells reprogrammed from PD patient-derived somatic cells as well as from age- and sex-matched healthy individuals to model key aspects of DA neurodegeneration. Advanced human stem cell-based technologies including brain organoids and cell transplantation will be exploited to recreate functionally mature human DA tissue in an ad hoc disease-like environment. A single-cell sequencing approach will be used to obtain molecular insights into PD etiopathogenesis and the pathological mechanisms responsible for DA neuron degeneration. Lastly, gene editing in a patient-specific genetic background will be performed to create an autologous source of “healthy” DA neurons reverted from the disease-related phenotype. These cells will be pre-clinically validated in a PD rat model, with a view to ultimately achieving autologous cell replacement treatments for PD.

Keywords: regenerative medicine,parkinson s disease,induced pluripotent stem cells ipscs,human brain organoids,cell based therapy,single cell sequencing
rEaLIzing healthcare 4.0 eXploIting the 6G netwoRk evolutION (ELIXIRION)

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: Greece,Spain,Sweden,Cyprus,Luxembourg,Germany,Poland,Netherlands
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2023-11-01
End date: 2027-10-31
Duration (months): 48.0
Total project cost (EUR): 3057342.17
EU funding (EUR): 2536970.4
Participants: 15
Project status: SIGNED

ELIXIRION will create the first fully-integrated, inter- and multi-disciplinary, highly-innovative training and research network that will set the foundations of the emerging Healthcare 4.0 paradigm by leveraging 6G technologies targeting to: i) provide all citizens/patients with a wide range of services of different requirements, such as ultra-low latency for latency-critical applications, high speed for data hungry services and ubiquitous secure access to healthcare resources, anytime, anywhere, respecting all privacy aspects, and ii) ensure a secure, efficient, and profitable healthcare ecosystem to all involved stakeholders, while creating a sustainable open market easing access to new players. To achieve the aforementioned objective, ELIXIRION will: 1) leverage a gamut of 6G technologies towards a powerful interconnected network for ultra-high performance access to the healthcare ecosystem targeting up to 99,99999% reliability, 100% coverage, down to sub-ms E2E latency, up to 1 Tbps capacity, high energy- and cost-efficiency, while supporting a massive number of connections, 2) design edge-aware algorithms leveraging diverse computing capabilities offering ultra-fast task execution through parallelization, serverless and distributed computing by intra- and inter- edge node orchestration techniques for real-time mission critical healthcare applications, 3) provide an E2E slicing and zero-touch orchestration framework for optimized 6G network performance across the healthcare ecosystem, targeting at full network automation and secure information handling especially when a massive number of medical devices is considered, by leveraging AI/ML, while considering all different network parts and data analytics to derive useful information helping in the decision-making process, and 4) create a sustainable healthcare ecosystem and new business models leveraging blockchain-based incentive engineering for secure incentivized collaboration among the involved stakeholders.

Keywords: healthcare 4 0,6g,network optimization,distributed parallel computing,mec,ai ml,energy cost efficiency,integrated access backhaul,blockchain,e2e slicing and orchestration,big data analytics
NovEl tEchnologies for converged Wireless-opTical cOnfiguratioNs (NEWTON)

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: Spain,Greece,Belgium,Poland,France,Denmark,United Kingdom
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-03-01
End date: 2030-02-28
Duration (months): 48.0
Total project cost (EUR): 5112749.31
EU funding (EUR): 4348887.84
Participants: 9
Project status: SIGNED

NEWTON proposes a revolutionary approach of a converged wireless-optical network architecture that makes reality an efficient 6G Cell-Free (CF)-based access network for high-density and high-coverage deployments. The proposed architecture takes also full advantage of novel solutions for both the radio-edge and regional-edge domains, as well as for efficient network-management approaches, targeting to achieve sub-second latency, more than million devices per square kilometer connection density and user-experienced data-rate up to 10Gbps. NEWTON research program will engage in cutting-edge research to advance and assess a wide range of techniques, tools and methodologies that will harness the innovative capabilities provided by the CF technology to their fullest extent and establish the groundwork for efficient end-to-end services in 6G network environments. The NEWTON approach will be directed toward pursuing three ambitious objectives, each aligned with an interdisciplinary but interconnected research domain. The three objectives are linked to challenges at the radio-edge, the regional-edge, and the network-management domains. At the radio-edge domain, NEWTON aims at developing Artificial-Intelligence (AI)-driven models in the access domain, focusing on the CF technology, targeting the efficient acquisition of the Channel State Information (CSI) in dense CF networks, while supporting infrastructures with high-number of antennas. In the regional-edge domain, NEWTON targets to develop scalable solutions for the interconnection of data-centers, to enable distributed neuromorphic architectures, while also being in line with the Open RAN initiative. Finally, at the network management domain, NEWTON will develop novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources.

Keywords: 6g,ai,cell free,converged wireless optical networks