Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mapping endangered cultural soilscapes in post-conflict regions through Big Earth Observation Data, artificial intelligence and geoarchaeological signatures (SIGNATURE)

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: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

SIGNATURE aims to investigate the long-term settlement and land use dynamics that shaped the cultural soilscapes of the Levant, with a particular emphasis on revealing new archaeological sites that have been obscured by recent agricultural encroachment and abrupt land disturbances. The study area encompasses the endangered archaeological landscapes of the Bekaa Valley in Lebanon and its adjacent fertile plains between the Litani and Orontes rivers. As an aftermath of the Lebanese Civil War and the long-lasting conflict spillovers that followed, the traditional agronomic landscapes of the Bekaa were severely transformed by agricultural autarky. The scarce initiatives that are set in place to map vulnerable heritage primarily focus on well-known, monumental sites such as the UNESCO complex of Baalbek. Other fragile and less visible archaeological and landscape features such as eroded earthen mounds or tells are largely under-represented. SIGNATURE combines Big Earth Observation Data and geoarchaeological signatures in computational workflows to 1) accurately map and predict the location of anthropogenic soils and landforms, 2) monitor historical and present-day land use trends, and 3) identify acute landscape transformations affecting the preservation of vulnerable archaeological and heritage assets. A key aspect of the project methodology is the integration of multi-source and multi-temporal satellite data in artificial intelligence procedures, coupled with ground and high-resolution soil proxies in advanced geostatistical workflows. SIGNATURE will produce and share a set of comparable data and reproducible tools for the study and management of endangered cultural landscapes, likely to be adapted and implemented by scholars and Cultural Heritage practitioners working in conflict and post-conflict regions.

Keywords: cultural soilscapes,endangered cultural heritage,geoarchaeology,big earth observation data,artificial intelligence,geostatistics,levant and the middle east
Electron Beam Emergent Additive Manufacturing (EBEAM)

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: Coordination and support actions
Countries involved: Czechia
Call: ERA Chairs (HORIZON-WIDERA-2022-TALENTS-01, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2499500.0
EU funding (EUR): 2499500.0
Participants: 1
Project status: SIGNED

The objective of project is establishment of a new excellent Centre for Electron Beam Precision Manufacturing (EBEAM Centre) with international research team led by an experienced researcher prof. M.H. Rümmeli - ERA chair, to help exploit the research potential of the use of electron-beams to fabricate and structure new materials at the atomistic level and to enhance performance in research, innovation and education in nanotechnology as well as energy and environmental technologies and visibility of VSB-TUO at international level. The project is also aimed on implementation of structural changes in research environment and science management at VSB-TUO initiated by ERA Chair, to develop a research environment that meets the highest international standard, and on support of young researchers who will strengthen their creative and innovative potential via their engagement in the project and make use of the international dimension of the project for gaining independence and career development. The EBEAM project will have regional and national impacts in terms of research, education, and technology according to Research and Innovation Smart Specialization strategy.

Keywords: atomic and close to atomic scale manufacturing advanced materials atomic devices novel materials
DIsaster Resilience for Extreme ClimaTe Events providing interoperable Data, models, communication and governance (DIRECTED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Disaster-Resilient Society for Europe
Action type: Innovation actions
Countries involved: Germany,Denmark,Austria,Hungary,Italy,Switzerland,United Kingdom,Ireland
Call: Integrated Disaster Risk Reduction for extreme climate events: from early warning systems to long term adaptation and resilience building (HORIZON-CL3-2021-DRS-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 5283350.0
EU funding (EUR): 5054599.99
Participants: 18
Project status: SIGNED

The recent droughts in central Europe and unprecedented floods in central Europe have disclosed our vulnerability to extreme weather events. Besides climate change as a driver of more frequent and intensifying weather extremes, demographic change and socio-economic development exacerbate severe impacts. International frameworks for disaster risk reduction and climate change adaptation (e.g. SENDAI framework, EU Strategy on adaptation to climate change) acknowledge the critical need for integrating risk governance, communication and operational mechanisms for coping with extreme climate events throughout the entire Disaster Risk Management cycle. DIRECTED aspires to foster disaster-resilient European societies by expanding our capabilities to communicate, utilise and exchange state-of-the-art data, information and knowledge between different actors; boosting the integration, accessibility and interoperability of models; facilitating knowledge sharing; improving dialogue and cooperation encompassing all levels of actors based on enhanced community engagement and developing new governance and risk management strategies using a bottom-up, value-driven co-development approach. Key to supporting interoperability will be the establishment of the DATA-FABRIC, an innovative, governed, cloud platform that enables secure, flexible, discovery and sharing of all structured and unstructured data. Central to DIRECTED are four Real World Labs that co-develop new governance, interoperability and knowledge production frameworks and demonstrate their benefits for enhanced disaster risk governance supported by innovative technical frameworks to access, transform and integrate data and models into customised workflows for creating actionable solutions. The Real World Labs ensure the project continuously and actively involves key stakeholders in the co-development process and address topical problems of multi-hazard risk management and climate change adaptation to maximise impacts.

Keywords: multi level risk governance,co creation,stakeholder engagement,disaster resilience,multi risk,multi hazard,interoperability,extreme weather events
A minimally Invasive surgical platform aGainst paNcreatIc and biliary Tract cancErs using cold atmospheric PLASMA (IgnitePLASMA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Cyprus,France,Greece,United Kingdom
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-04-01
End date: 2028-03-31
Duration (months): 48.0
Total project cost (EUR): 2792500.0
EU funding (EUR): 2792500.0
Participants: 5
Project status: SIGNED

Cancer is one of the major causes of death in Europe. Pancreatic (PC) and biliary tract (BTC) cancer are rare gastrointestinal adenocarcinomas with an increasing incidence particularly among the elderly and women in an ageing European population, and a poor prognosis poses major clinical challenges and public health burden. Cold atmospheric pressure plasma (CAP) has shown potential regressing various cancer types in the laboratory setting. Owing to their properties, CAP is a unique source of high concentrations of reactive radicals, electrons, ions, UV etc. that may induce various effects in living tissue. CAP has shown selectivity in where cancer cells are treated with minimal effect to healthy ones; this renders plasma suitable to treat carcinomas in very sensitive areas or organs where an unmet need to minimise damage/side-effects exists. CAP can be delivered through dielectric tubes of variable length, which makes it ideal for minimally invasive and precise laparoscopic and endoscopic operations. Despite the great promise and potential of this concept, there is no single laparoscopic or endoscopic medical platform in the market today based on CAP to treat carcinomas. This project proposes a novel solution using cutting-edge plasma technology, in-silico models, and a system-level approach. It will combine plasma with tumour multiscale simulations and will take input from pre-surgery diagnostics for in-silico model initialisation and CAP operational window determination. The developed technology will be demonstrated through in-vivo experiments, while the foundations for clinical trials and market introduction for CAP-based care of PC/BTCs will be laid out in this project.

Keywords: surgical instrument,medical device,cancer removal,cold plasma,multiscale model,multiphysics model,simulation,in silico,personalised treatment
Optimal Transport and Metric Structures for Evolution Problems (OPTiMiSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Italy
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2186890.0
EU funding (EUR): 2186890.0
Participants: 1
Project status: SIGNED

Several evolution problems, such as gradient flows or rate-independent processes, are governed by variational principles which are extremely useful for studying the existence, stability, and structural properties of solutions by simple and general constructive approximation methods. Deep and beautiful ideas from the theory of Optimal Transport have contributed new insights and additional challenging questions to this scenario and have motivated flourishing and original developments. On the one hand, the applications to gradient flows in the Kantorovich-Wasserstein spaces of probability measures reveal the importance, the power, and the flexibility of the metric viewpoint. On the other hand, the interplay with evolutionary problems has in turn brought new ideas and perspectives to Optimal Transport, inspiring a powerful set of techniques for its applications, especially to the analysis and geometry in metric-measure spaces. In recent years, the PI and his collaborators have given relevant contributions to the general theory of gradient flows, in particular in Kantorovich-Wasserstein spaces, and they have obtained ground-breaking results for metric-measure spaces and Unbalanced Optimal Transport between positive measures with finite mass. The goal of the project is a wide-ranging analysis which aims to combine and broaden the above themes and perspectives, to address crucial and challenging open problems, and to open up novel research directions: - new generation results and metric-variational principles for evolution equations, - the interplay between curvature bounds and convergence of variational approximation schemes, - a new metric approach to dissipative evolution and saddle-point flows, - new methods and results for paradigmatic highly nonlinear and non-convex partial differential equations for probability measures, - the foundation of a mean-field theory for the rate-independent evolution of critical points.

Keywords: gradient flows,dissipative evolution,rate independent processes,optimal transport,wasserstein metric,probability vector fields,variational methods,metric measure spaces,unbalanced optimal transport,hellinger kantorovich metric,minimizing movements,jko scheme,evolution variational inequalities,energetic and bv solutions
Broaden Research Infrastructures – Deepen the Geography of Europe (BRIDGE)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Other destinations
Action type: Coordination and support actions
Countries involved: France
Call: Conference on European Research Infrastructures: 20 years of ESFRI, achievements and future insights (HORIZON-INFRA-2021-ESFRI20-IBA, 2021)
Start date: 2021-11-01
End date: 2022-08-31
Duration (months): 10.0
Total project cost (EUR): 125000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The project BRIDGE (Broaden Research Infrastructures – Deepen the Geography of Europe ) is aiming at organizing the celebrating of the the 20 years of ESFRI through a 20 Years Anniversary ESFRI Cconference. The Cconference will take place in France, under the aupices of the French Presidency of the Council of the European Union, on March 25th, 2022. The heardquarters of the French Academy of Science, at Institut de France, 23 quai de Conti, 75006 Paris, will be the main venue for this event. The objectives of the project are the following: • Valorisation of the impact of ESFRI on European R&I system over the 20 years • Reinforcement of the role of ESFRI and the European RIs in the renewed ERA • Increased awareness of the research and innovation actors of the opportunities provided by European RIs

Keywords: research infrtastructures,esfri,services,access,valorisation,innovation,science policy
Giving Rural Actors Novel data and re-Useable tools to Lead public Action in Rural areas (GRANULAR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Resilient, inclusive, healthy and green rural, coastal and urban communities
Action type: Research and Innovation actions
Countries involved: France,Sweden,Netherlands,Austria,Italy,Greece,Belgium,Czechia,Poland,Germany,Spain,Finland,United Kingdom
Call: Grasping rural diversity and strengthening evidence for tailored policies enhancing the contribution of rural communities to ecological, digital and social transitions (HORIZON-CL6-2021-COMMUNITIES-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 6633494.72
EU funding (EUR): 6633494.72
Participants: 26
Project status: SIGNED

Representing 30% of its population and over 80% of its territory, EU rural areas are facing simultaneous demographic, climate, economic, social and environmental changes which affect their characteristics and metabolisms. Responding to these challenges requires a precise understanding of what rural areas are and what rural communities are facing nowadays. Definitions of rural areas tend to lean on population density or size. They do not provide sufficient insights into the dynamics, drivers and fluidity of contemporary diverse rural-urban relations and identities that characterize ruralities across Europe. Despite the increasing acknowledgement that rural areas are diverse and that typologies should better reflect the identities of such territories, the lack of data at a fine scale prevents such innovations. Departing from an updated conceptualisation of rurality based on the multi-dimensional nature of contemporary rural-urban interrelations and interdependencies, GRANULAR will generate new insights for characterising rural diversity based on a multi-actor and interdisciplinary approach. Based on insights from Multi-Actor Labs, it will generate novel datasets using a wide range of methods and primary data, such as remote sensing, crowd-sourced data, mobile phone data and web-scraping. This data will then be combined with a variety of existing institutional data to derive indicators relevant to rural communities for the implementation of the Long-Term Vision for Rural Areas (LTVRA), so to measure resilience, well-being, quality of life and attractiveness. This will enable GRANULAR to create a Rural Compass, that take into account the factors affecting rural communities and their functional characteristics, informing policymakers and rural actors for the design of tailored rural policies. After ensuring the up-scalability of the results, datasets, data visualization and other tools will be directly available on a dedicated platform designed by and for rural actors.

Keywords: multi actor labs,unconventional data,rural proofing,functional rural areas,rural compass,rural observatory,tailored policies,resilience,attractiveness,rural diversity
Molecular mimicry as a key parameter shaping T cell immunity (MIMIC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Scientific Challenge: Immunotherapy has revolutionized cancer treatment, yet only a minor fraction of patients respond to frequently used immunotherapeutic treatments. T cell recognition of peptide-major histocompatibility (pMHC) class I complexes is essential to maintain immune surveillance and eliminate cancerous cells. Numerous products of genetic and epigenetic alterations can serve as targets for T cell recognition of cancer, yet our capacity to predict what MHC-embedded targets T cells can recognize on the surface of cancer cells is still poor, with a less than 5% hit rate. While we have robust tools for prediction of antigen presentation, we still have very limited understanding of the factors driving immunogenicity – i.e. which of the presented targets will give rise to a T cell recognition. A fundamental mechanism influencing T cell recognition is molecular mimicry. It has long been proposed that the ability of a given T-cell receptor (TCR) to recognize multiple different pMHC complexes is essential to provide immunological coverage of all potential pathogens that we may encounter. T cell epitopes, that at first glance appear very different, may have structural similarities once embedded in the MHC I binding groove, and hence appear similar to the given TCR (molecular mimicry). Objective: In MIMIC, I will determine the role of molecular mimicry in T cell recognition and demonstrate how pre-existing immunity may shape the T cell recognition of cancer antigens. I will use the SARS-CoV2 infection as a model system to understand molecular mimicry, and apply the learnings from this to cancer immunogenicity. Expected outcome: I predict that by understanding the influence of molecular mimicry, the rules governing the immunogenicity of T cell epitopes can be determined and the selection of antigens optimized - this will be essential to develop precision T cell therapies targeting tumor antigens of relevance for the individual patient.

Keywords: t cell cross recognition,t cell receptor,computational prediction tools
Novel First-in-Class Specific Oromucosal Immunotherapy (SOMIT) to treat Celiac Disease (CD) (SOMIT-CD)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Netherlands
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-09-01
End date: 2025-03-31
Duration (months): 31.0
Total project cost (EUR): 3571428.75
EU funding (EUR): 2499993.0
Participants: 1
Project status: SIGNED

Celiac disease is an autoimmune indication for which there is no cure. Only the life-long avoidance of the disease causing gliadin protein in gluten is available as a sub-optimal and cumbersome necessity for CD patients. We developed a unique novel combination of antigen (gliadin protein), probiotic tolerogenic bacterial particles (TBPs) and mouth patch technology to enhance the bioavailability and tolerance induction. Synergistic tolerizing properties of the TBP-antigen combination and the therapeutic effect of the SOMIT concept has been shown in a suitable pig model. Our SOMIT-CD promises to require a short-course weekly treatment for less than 3 months in CD patients. This EIC project will allow us to finalize the various preclinical activities and perform phase Ib/IIa clinical study, paving the way to closing a co-development deal with a big pharma player. After market entry in 2029, we aim to reach a market share of 15% and generate annual revenues of €148M by 2033.

Keywords: autoimmune disorders,oralmucosa,mouth patch,celiac disease,immunotherapy,tolerizing effect,antigen