Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Sustainable Soil Management Decision Support System in Viticulture (SOSVITI)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain,Germany,Greece,Italy,Netherlands,Luxembourg
Call: MSCA Staff Exchanges 2023 (HORIZON-MSCA-2023-SE-01, 2023)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 1336628.57
EU funding (EUR): 1159200.0
Participants: 12
Project status: SIGNED

Soil erosion and degradation pose significant threats to agricultural sustainability, food security, and economic stability. Despite awareness, conservation measures are often neglected due to barriers such as cost and information gaps. Addressing these challenges requires multidisciplinary approaches integrating scientific research, stakeholder engagement, and technological innovation. The project aims to develop comprehensive soil erosion models, understand stakeholders' perceptions, and create a decision support system (DSS) for vineyard management. The objectives include developing innovative solutions, enhancing soil health, mitigating erosion risk, understanding social factors, and promoting sustainable practices. The project emphasizes multidisciplinary integration and knowledge transfer, leveraging advances in artificial intelligence, big data analytics, and cloud computing to address the impacts of climate change and promote agricultural ecosystem conservation. The proposal will be developed by 11 partners from 6 European countries, with 6 academic organizations, 4 SMEs and one no-profit organization with different backgrounds.

Keywords: soil erosion models,climate change,satellite data
Identification of Transiently Formed Immune-Endogenous Neural Stem Cell Niches in Spinal Cord Injury (SCIENSC)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: CLOSED

Despite endogenous neural stem cells (eNSCs) being present in the adult mammalian central nervous system (CNS), their neuronal potential upon injury is rarely achieved in the brain and never in the spinal cord (SC) environment. This makes widespread SC injuries (SCIs) especially challenging to treat. Even though SC eNSCs give rise to astrocytes, oligodendrocytes, and neurons in vitro, they almost exclusively generate glial scar-forming astrocytes, seldom myelinating oligodendrocytes, and never neurons in mammalian models. We still do not know the exact SC niche cues preventing eNSCs from efficiently assuming oligodendrocyte and neuronal fates, averting a functional SC healing. Notably, SCI induces a vast immune response and I hypothesise that immune cells that are responsive to the SCI, contribute to eNSC niche formation, where they can exert an effect on eNSC regulation. I will investigate this by unravelling (O1) temporal, heterogenous immune responses to the SCI and (O2) their spatial interplay with the eNSCs using advanced methodologies, such as spectral flow cytometry and spatial transcriptomics. This will enable me to identify which of these immune cells affect eNSC gene regulatory networks leading to instigation of astrocyte but not oligodendrocyte or neuronal fates. Finally, (O3) I will identify SCI-specific enhancer elements of the immune cells of interest by comparing chromatin signatures of these immune cell types located across different tissues. This knowledge will present a ‘divide and conquer’ opportunity – to compartmentalise and disconnect immune system across different tissues enabling a targeted immune cell manipulation specifically within the SCI environment. The long-term outcome of this project will help the design of enhancer-based immuno-modulatory therapies to dictate eNSC fates and generate oligodendrocytes and neurons in vivo leading to a functional SCI recovery.

Keywords: spinal cord injury,nervous system regeneration,neural stem cells,stem cell niche,immune niche,neuroimmunology,enhancers,chromatin biology
Sustainability and global dimension of European Research Infrastructures (GLORI)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Other destinations
Action type: Coordination and support actions
Countries involved: Spain
Call: Spanish Presidency conference on Research Infrastructures 2023 (HORIZON-INFRA-2023-ES-CONF-ART195-IBA, 2023)
Start date: 2023-04-01
End date: 2024-01-31
Duration (months): 10.0
Total project cost (EUR): 164961.25
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The project is aiming at organizing a Conference on Research Infrastructures devoted to discussing the sustainability challenge and global dimension of RI. The sustainability challenge and the related funding issues will be further addressed taking stock of the developments under former Presidencies notably as regards synergies between EU priorities and funding. The Conference will be organized under the auspices of the Spanish Presidency of the Council of the European Union, and it will take place in Tenerife during the last week of September 2023. The Observatories of the Instituto de Astrofísica de Canarias will be the main venue for this Conference that will bring together the RI community from Europe and beyond.

Keywords: research infrastructures,conference,international cooperation,sustainability,spanish presidency of eu
Providing a Digital and Modular Ecosystem for Personalized Capabilities Development to Enhance Labour Market Participation and Employment Transition (DIAMOND)

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: Denmark,Germany,Spain,Austria,Belgium,France,Portugal,Italy,Poland
Call: Strengthen economic fairness and resilience of active labour market policies and address high unemployment (HORIZON-CL2-2024-TRANSFORMATIONS-01, 2024)
Start date: 2024-10-01
End date: 2028-03-31
Duration (months): 42.0
Total project cost (EUR): 3376892.5
EU funding (EUR): 3376892.5
Participants: 15
Project status: SIGNED

The main goal of DIAMOND is to guide individuals from vulnerable socio-economic backgrounds on their pathway to employment, by tailoring learning programmes to individual needs, and bolstering employability. This is achieved by developing two unique solutions: 1) the Employability Growth Index (EGROW Index) - a comprehensive taxonomy of individuals employability growth, including their empowerment and transformative (digital & green) capabilities (objective 1). The EGROW Index will act as a measurement tool for classification and segmentation of user groups regarding the content and format of learning programmes. 2) the Modular and Versatile Platform for Engagement and Employability (MOVE) – a digital platform for lifelong learning with person-centered micro-credentials and learning formats (objective 2). On MOVE individuals can grow their employability based on EGROW and skill forecasts by participating in concise skill programmes recommended by an AI-supported system. To benchmark the impact breadth of the EGROW Index and MOVE, econometric cost-benefit analyses and a stochastic life-cycle model are applied (objective 3). The objectives are enabled by a vibrant research and innovation environment – the Grassroot Living Lab. State-of the art social innovation experiments, iterative research and stakeholder integrated co-creation will validate the DIAMOND solutions. DIAMOND targets directly the main impact goals associated with the call. The EGROW Index will help individuals to assess their employability growth and to empower them to self-manage their skill development on MOVE. The increased engagement due to tailored learning programmes will facilitate an increased labour market participation. The economic analyses and model provide an improved understanding of macro-economic effects. DIAMOND contributes to inclusive growth, reduced vulnerabilities and strengthened economic resilience due to its person-centered and data/technology driven grassroot approach.

Keywords: active labour market policies artificial intelligence digital platform econometric analyses micro credentials skill development stochastic life cycle model reskilling upskilling
Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design (PARTIALJUSTICE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-09-01
End date: 2030-08-31
Duration (months): 60.0
Total project cost (EUR): 1472390.44
EU funding (EUR): 1472390.0
Participants: 1
Project status: SIGNED

AI comes with great promises, but more critically, it comes with demonstrated harms, from racial and gender bias, to discrimination, wrongful arrests, defamation, surveillance, or the extractive labor and practices required for its creation. I contend that the most concerning aspect of AI is the exacerbation of existing structural inequalities and creation of new ones. Two prevailing responses have emerged to the social and ethical problems of AI: ethicists and social scientists have focused largely on principle-based approaches, and developers have focused on technical fixes for addressing problems in AI models. This project speaks to an urgent gap between these approaches: it centers the experiences of marginalized communities and develops interventions into AI concerns that are designed by and for those communities. This project develops the novel approach of participatory algorithmic justice. Participatory algorithmic justice defines a concept and standards of practice for collaborative research to better understand who and what AI harms, but also how these harms should be redressed. The project investigates how economic, cultural, and political harms from AI are experienced by structurally marginalized groups through multi-sited, intersectional ethnographic fieldwork. This fieldwork informs participatory design workshops to develop specific interventions into problems identified by research collaborators. This research is brought to life through an innovative combination of graphic storytelling and a public-facing mapping platform. Participatory algorithmic justice brings the voices, priorities, and concerns of those affected by AI to the forefront of debates over what kinds of AI people want to live with. Tackling a critical problem of global technology justice, this project is a crucial intervention for communities, researchers, and developers to redress AI harms.

Keywords: ethnography,artificial intelligence,justice,inequality,ethics,participatory research,graphic art
The fundamentals of cardiovascular calcification: from cells to therapy (CARDIOCALC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cell Biology, Development, Stem Cells and R egeneration
Panel description: For all organisms : Structure and function of the cell, cell -cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1209375.0
EU funding (EUR): 1209375.0
Participants: 1
Project status: SIGNED

With this project I propose to identify fundamental mechanisms of cardiovascular calcification (CVC) and new therapeutic targets using zebrafish as a model system. CVC, characterised by progressive calcification of the soft tissue causing impaired blood circulation, is a frequent form of cardiovascular disease. Because the pathophysiology of CVC is highly heterogeneous, the exact cell types and signalling pathways triggering tissue calcification are still unknown, thus limiting therapy options. Most studies on CVC rely on in vitro systems, which fail to reproduce the multicellular environment, or mammalian in vivo models, limited for live-imaging and high-throughput analyses. By combining my expertise in cardiovascular research and bone biology, I propose to use zebrafish as a model to elucidate the multifactorial mechanisms of CVC, focusing on different developmental stages and cardiovascular tissues. In Aim 1, I will use a broad array of zebrafish genetic models to characterise the cellular dynamics, molecular mechanisms and functional impact of CVC in vivo. I will also study the role of specific cell populations present in regenerating valves and human valve implants with CVC. In Aim 2, I propose to identify new local and systemic therapeutic strategies to block/reverse CVC, taking advantage of the zebrafish amenability for genetic manipulation and high-throughput screening. I will recruit bone-degrading cells to the CVC site and determine their potential to reverse tissue calcification. Moreover, I will select a short list of small molecules identified in a large-scale screen in zebrafish and will test their therapeutic potential in cardiovascular cells derived from hiPSCs of CVC patients. Altogether, with this interdisciplinary approach, I expect to bring a new perspective on the mechanisms and therapeutic targets to block/reverse CVC, which could have a considerable impact on the European population, severely affected by these diseases.

Keywords: zebrafish cardiovascular calcification cardiac valve outflow tract valve implant hipsc chemical screen live imaging therapeutics
Voltage-Reconfigurable Magnetic Invisibility: A New Concept for Data Security Based on Engineered Magnetoelectric Materials (REMINDS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: Spain
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-02-01
End date: 2028-01-31
Duration (months): 60.0
Total project cost (EUR): 2499940.0
EU funding (EUR): 2499940.0
Participants: 1
Project status: SIGNED

With the advent of Big Data, information is facing new, potentially more damaging, security threats. The current trend to enhance data protection is to use increasingly complex mathematical algorithms to encrypt information. This approach requires exponentially growing amounts of data, time and power resources. REMINDS proposes a radically new concept to boost data security: to act directly at material level, i.e., in the way information is stored. The project is built on the disruptive idea of using voltage to activate/deactivate magnetism via strain or ion migration effects and it tackles novel strategies to control the mutual interactions between ferromagnetic (FM), antiferromagnetic (AFM) and ferroelectric (FE) materials. While data written in ferromagnets can be read using conventional heads, AFM and FE materials are ‘invisible’ to magnetic sensors due to their lack of magnetic stray fields (methods to read sub-200 nm AFM or FE domains are complex and often destructive). REMINDS will develop advanced engineering protocols to (i) transfer information from FM to AFM or FE materials, (ii) keep the data ‘hidden’ in the AFM or FE layers while the FM state is switched off and (iii) retrieve the information whenever deemed necessary. Neuromorphic-inspired layouts will be used to selectively apply these protocols to specific memory units that will incorporate stochastic physical phenomena. This will be the basis of new energy-efficient proof-of-concept data protection designs whose working principle will be tested at lab scale for potential applications in anti-counterfeiting and anti-hacking technologies. REMINDS is expected to revolutionize magnetoelectricity, exploiting voltage-programmable magnetism to an unprecedented extent and forging an entirely new paradigm in data security. Its outcomes will bring ground-breaking scientific contributions to the fields of magnetism, spintronics, piezotronics and flexible electronics, and will have a huge socio-economic impact.

Keywords: magnetoelectric effects,magneto ionics,domain imprinting,exchange bias,heterostructured multiferroics,unclonable systems,materials for data security,energy efficiency,crossbar arrays
Origami inspired thermoelectric generators by printing and folding (ORTHOGONAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 2410155.0
EU funding (EUR): 2410155.0
Participants: 1
Project status: SIGNED

The transition towards an energy-sustainable society is the key challenge for the engineering sciences in the 21st century. This proposal addresses the energy supply for the future trillion sensor devices that form the backbone of our digitized society and it addresses the possibility to recover huge amounts of low-temperature waste heat in industry. Energy-harvesting from low-temperature environmental heat via thermoelectric generators (TEG) is a versatile and maintenance-free solution for both challenges. A prerequisite, however, is a cost-effective and scalable materials and manufacturing strategy for such TEGs. ORTHOGONAL will explore the devices using novel printable thermoelectric nanocomposite materials and it will tackle the fabrication challenges of printed TEGs based on ultrathin (< 2 µm) polymeric foils. We will explore n-type and p-type inorganic printable nanomaterials with high efficiencies and will use them for large area 2D printing on ultrathin substrates. By using photonic sintering, we will nano-solder the thin TEG films. The TEGs will then subsequently be fabricated by an origami-inspired folding process. A customized machine will be designed and constructed to allow for an automated folding of the 2D foil into the desired 3D geometry. As demonstrators, the project will realize TEG powered autonomous sensor nodes and a heat exchanger including a large area TEG. The work will build on my more than 30 years of experience in solid state semiconductor devices, several key patents from my group, and our recent proof-of-concepts for the thermoelectric materials and the device design. The design and fabrication principles of ORTHOGONAL will also be of use of other large-area electronic devices, e.g., X-ray detectors, THz-metamaterials, and piezoelectric transceivers.

Keywords: thermoelectrics,printed electronics,energy harvesting,waste heast recovery,nanomaterials
A unifying dynamical theory of distributed computation and generalisation in biological and artificial neural systems (NEURO-FUSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1499508.0
EU funding (EUR): 1499508.0
Participants: 1
Project status: SIGNED

Understanding how the coordinated activity of neurons in multiple brain regions achieves robust behaviour is one of the most fundamental questions in neuroscience. Although recent single-cell technologies enable addressing this question by recording from large neural populations, they are limited to surveying focal brain regions and superficial cortical layers. Without an analytical framework to jointly model isolated measurements, we cannot hope to understand and quantitatively model how single-neuron dynamics give rise to distributed computations. I hypothesise that global brain dynamics fall on distinct attractor states during a given stimulus or task. Attractors naturally give rise to invariant representations, dynamical motifs independent of the sampled neurons’ identity. Inferring these invariances would allow reconstructing activity in extended regions from incomplete local recordings to reveal brain-wide cognitive processes. Further, composing invariances would provide insights into the neural correlates of generalisation, with a broad impact on neuroscience and machine learning. I propose a novel mathematical theory combining abstract combinatorial dynamical systems theory and modern machine learning to infer and compose invariant latent dynamics across measurements. We will use this theory to unify large-scale cell-resolution recordings of the mouse and macaque cortex into a common model to make cell-specific predictions across several brain regions. Our results could fundamentally challenge our view on distributed cognitive computations by revealing moment-by-moment single-neuron dynamics in spatially distributed neurons. Further, my theory will help understand how the brain generalises knowledge across tasks by composing and repurposing invariances. More broadly, my theory will open new avenues for machine learning and neuroscience to interact through sharing and shaping the dynamical processes that underpin neural computations in vivo and in silico.

Keywords: dynamical systems,distributed neural computation,compositional generalisation,invariant neural representations,data driven modelling,single neuron recordings,transfer learning