Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Stochastic quantum gauge theories (SQGT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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 STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2025-08-01
End date: 2030-07-31
Duration (months): 60.0
Total project cost (EUR): 1407314.0
EU funding (EUR): 1407314.0
Participants: 2
Project status: SIGNED

This proposal aims to solve central open problems in the mathematical foundation of quantum gauge theories (QGTs), an important challenge comprising the Yang-Mills (YM) Millennium Prize Problem. A key outcome of the proposal will be the first constructions in finite volume of 2- and 3-dimensional non-exactly solvable QGTs, with a view towards the physical case of 4 dimensions. The principal tools that will be developed and used to address these problems are in the field of rough analysis, in particular singular stochastic partial differential equations (SPDEs). Singular SPDEs appear widely in the study of dynamics with randomness and have seen revolutionary progress in the past decade. By developing new rough analytic methods applicable to QGTs, the proposal will push the frontiers of rough analysis, in particular studying discrete approximations of SPDEs, introducing novel geometric solution theories, and linking SPDEs with random matrix theory. My research has shown that the stochastic quantisation equations of YM (SYM) can be renormalised in a geometrically faithful way, which has already revealed new properties of the exactly solvable 2D YM measure. This is strong evidence that rough analytic techniques can bring new light to the study of QGTs and render their construction in 2D and 3D finally within reach. The proposal is split into the following three long-term projects. 1. Two-dimensional theories: solve and identify the invariant measure of SYM for non-trivial principal bundles; prove large N convergence of SYM; construct the non-Abelian YM-Higgs measure in finite volume. 2. Three-dimensional theories: give the first construction of the 3-dimensional YM measure in finite volume; prove a discrete version of the BPHZ renormalisation theorem in regularity structures. 3. Axiomatic quantum gauge theory: formulate and prove the Osterwalder-Schrader reconstruction theorem applicable to QGTs; prove Uhlenbeck’s regularity theorem for distributions.

Keywords: stochastic partial differential equations regularity structures yang mills measure rough path theory lattice gauge theory
Adaptive User Representation Agent - Creating a Technical Digital Assistant through XR-based Behavioral, Physiological and Neural Data Acquisition. (AURA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Italy
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

We propose the development of next-generation Adaptive User Representation Agents (AURAs) by integrating behavioral, physiological, and neural data collected from expert users as they perform domain-specific tasks within eXtended Reality (XR) environments. These users possess critical know-how that is often difficult to formalize or transfer, especially in high-stakes domains. The collected multimodal data will be processed through advanced neural network models capable of fusing these inputs to generate realistic, adaptive AI agents. These embodied agents will preserve and replicate expert-level knowledge, enabling organizations to build, update, and personalize their own expertise databases. This is particularly crucial in sectors such as security, where professionals managing critical infrastructures must scale threat detection and response efforts through secure and fault-tolerant AI systems and education, where GenAI-powered agents can deliver personalized, adaptive learning experiences to enhance both accessibility and learning outcomes. Crucially, the AI agents will dynamically adapt to the skill level of the user they interact with during training, offering tailored support, feedback, and graduated challenges. This ensures effective, individualized learning pathways and facilitates seamless onboarding, knowledge transfer, and continuous skill development within fully immersive environments. We are targeting the corporate training market, which was valued at over USD 350 billion in 2023 (Allied Market Research) and is experiencing steady growth at a 7% CAGR. Our innovative approach redefines how organizations capture, preserve, and scale human expertise. The human is placed at the center of the process, both as the source of valuable knowledge to be preserved and as the learner receiving customized support through intelligent, responsive systems.

Keywords: genai,virtual reality,augmented reality,extended reality,industrial training
Next-Generation Light Source: Driving plasmas to power tomorrow’s nanolithography (MOORELIGHT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2024-02-01
End date: 2029-01-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Advanced semiconductor devices are produced using extreme ultraviolet (EUV) light at just 13.5nm wavelength. This small wavelength enables patterning the smallest and smartest features on chips. The recent revolutionary introduction of EUV lithography (EUVL) was the culmination of several decades of collaborative work between industry and science – a Project Apollo of the digital age. EUVL is powered by light that is produced in the interaction of high-energy CO2-gas laser pulses with molten tin microdroplets. The use of such lasers however leads to unsustainably low overall efficiency in converting electrical power to useful EUV light: delivering a watt of EUV power at the silicon wafer level currently has a megawatt footprint. Replacing gas lasers with much more efficient solid-state lasers will significantly reduce this footprint. It is currently however unclear what laser wavelength, and what plasma ‘recipe’ should be used. This is because we lack understanding of the underlying complex physics. MOORELIGHT will deliver the missing insight that is required to efficiently and reliably power next-generation solid-state-laser-driven EUV light sources. (1) We will obtain understanding of phase changes and fragmentation of laser-impacted liquid thin tin targets and develop capabilities for laser-tailoring targets. (2) We will use tailored targets to investigate how these couple to laser light of variable wavelength and spatiotemporal profile to produce hot-and-dense plasma. This will provide insight through experiments and modeling into the optimum plasma recipe for producing EUV light, in tandem with efforts (3) to advance predictive plasma modeling by finding the elusive, atomic origins of the EUV light. Individually, these objectives will significantly impact their related fields of science and technology. Combined, they will enable to sustainably power tomorrow’s EUVL, and help realize the EU’s ambitions regarding its technological leadership in nanotechnology.

Keywords: extreme ultraviolet light,euv lithography,laser produced plasma,laser matter interaction,spectroscopy,fluid dynamics,highly charged ions,electron beam ion trap
GREEN-PATHS: European Knowledge Hub On Just Transition Pathways (GreenPaths)

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: Coordination and support actions
Countries involved: Spain,Netherlands,Croatia,Slovenia,Italy,Serbia,Portugal,France,Belgium,Germany
Call: Knowledge platform and network for social impact assessment of green transition policies (HORIZON-CL2-2022-TRANSFORMATIONS-02, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 2997616.26
EU funding (EUR): 2997616.26
Participants: 14
Project status: SIGNED

GreenPaths addresses the complex and multi-dimensional nature of the planned transition. Based on an enhanced understanding of key issues and challenges influencing the transitions and an in-depth review and synthesis of the latest and most relevant research, GreenPaths will enable the development and adoption of more coherent and effective policy strategies and instruments, furthering the positive outcomes and reducing the negative impacts on environmental sustainability and social well-being. To improve the design, governance and implementation of transition strategies, GreenPaths pays particular attention to the European Green Deal, the Fit for 55 package, and the actions funded by the Just Transition Fund and the European Social Fund+. Key objectives include: 1) mapping and explaining links between policies, environmental sustainability and social well-being; 2) identify and assess indicators and tools to analyse interactions between climate interdependencies, environmental sustainability and social well-being; 3) develop systemic, in-depth and innovative understandings of green transition policies and approaches vis-à-vis social impacts and trade-offs; 4) offer new insights into the relevance and significance of institutional, regulatory and legal frameworks affecting the green transitions; 5) produce policy recommendations for desirable changes in European and national policies through a multi-stakeholder backcasting approach and the participatory design of lighthouse projects and facilitate an enhanced civil society-stakeholder-policy dialogue on green transition pathways. These objectives will be achieved by the well positioned, consortium with long experience on the topic through a comprehensive mixed-methods approach, to be tested and grounded in a series of case studies, which lead into a more participatory and influential engagement with policymakers, civil society organisations and other relevant stakeholders.

Keywords: network
saFe learNIng for lArge scaLe InTerconnected sYstems (FINALITY)

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: France,Netherlands,Spain,Sweden,Cyprus,Germany
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): 4027672.8
EU funding (EUR): 4027672.8
Participants: 16
Project status: SIGNED

FINALITY evolves the theoretical computer science curriculum focusing on the mastery of prompt and safe learning techniques for interconnected systems. The trainee team will develop and integrate innovative methodological tools specialized for AI-intensive resource allocation, particularly in the context of large-scale critical infrastructures for communication and computing. They will combine AI methods that are safe by respecting system boundaries and are prompt in adapting to the environmental changes. Throughout their research training, the FINALITY candidates will prioritize the principles of fairness and computational parsimony of AI methods. The FINALITY doctoral team will be supported by a world-class team of academic and industrial advisors, who work routinely on all the tools used in AI-based RA, advancing their theoretical foundations and their application in the industrial domain. They possess extensive experience in training doctoral students, and an excellent track record of joint research activities across the consortium. International exposure and dissemination are ensured by an extra-EU supervisory board

Keywords: safe learning,resources allocation
From biophysical chemistry to cell biology: Deciphering the role of lipids in the toxicity and spreading of protein aggregation (LIPAGG)

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: France,Germany,Denmark,Italy,Sweden,Netherlands
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): 4572934.56
EU funding (EUR): 4572934.56
Participants: 23
Project status: SIGNED

The LIPAGG project seeks to unravel the structural complexities of amyloid protein-lipid aggregates and investigate their role in pathological aggregation, cellular toxicity, and intercellular spread. Focusing on key human amyloid proteins—amylin (IAPP), amyloid beta (Aβ), and α-synuclein (αS)—linked to type 2 diabetes (T2D), Alzheimer's disease (AD), and Parkinson’s disease (PD), respectively, the project builds on recent discoveries made by the consortium. These findings highlight the critical role of free lipids in membrane damage through the formation of stable lipid-amyloidogenic protein complexes, leading to the lipid-chaperone hypothesis. The project will explore unresolved mechanisms linking amyloid aggregation to cellular damage, focusing on three key aspects: 1) the toxicity of prefibrillar amyloid oligomers, 2) the interaction of amyloid proteins with lipid membranes, and 3) the pathological spread of amyloid aggregates in the brain. Guided by the lipid-chaperone hypothesis, the consortium will train fifteen Doctoral Candidates (DCs), emphasizing the pivotal role of lipids in amyloid-related diseases. The training program will include cutting-edge methods in biophysics, peptide chemistry, molecular and structural biology, and cell biology. The scientific objectives of LIPAGG include characterizing amyloid-lipid complexes, understanding their impact on aggregation and membrane integrity, assessing their effects on cellular viability and intercellular spread, and developing chemical tools to block the formation of these complexes, offering potential therapeutic strategies. The results will have significant societal impact, enhancing our understanding of AD, PD, and T2D, including potential improvements in diagnostic and therapeutic approaches. With support of a consortium of 23 partners from 8 countries, DCs will have access to state-of-the-art instrumentation, including 1.2 GHz NMR spectrometers, single-particle cryo-EM facilities, and supercomputers.

Keywords: protein lipid interactions,lipid membranes,amyloid aggregation,nmr,cryo em,molecular simulations,peptide synthesis,ftir,afm,ipsc cell cultures
Legume-cereal intercropping for sustainable agriculture across Europe (LEGUMINOSE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Research and Innovation actions
Countries involved: Italy,Denmark,Czechia,Belgium,Pakistan,United Kingdom,Spain,Poland,Germany,Austria
Call: Intercropping – understanding and using the benefits of complexity in farming and value chains (HORIZON-CL6-2022-BIODIV-01, 2022)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 7188017.5
EU funding (EUR): 7188013.5
Participants: 21
Project status: SIGNED

As conventional cropping systems face deterioration of soil quality, loss of biodiversity, and declining ecosystem services, there is an urgent need to change practices to more sustainable yet productive systems. Intercropping enhances biodiversity, maximizes land productivity, and optimizes biogeochemical cycles in agroecosystems, but is lacking acceptance from European farmers. Legume-based intercropping takes advantage of biological diversity and synergistic effects between companion plants while reducing external inputs. A major objective of LEGUMINOSE is to identify the obstacles to intercropping and enhance farmers’ acceptance by providing knowledge and demonstrations that promote economic, environmental, and social benefits of legume-cereal intercropping. LEGUMINOSE will assess intercropping potential by focusing on pesticide reduction, plant-microbe mediated element cycling, soil health improvement, and crop quality and health. To overcome barriers to intercropping implementation, we will establish a network of six field trials and farm labs (20 farms in each country; 180 on-farm trials) in different pedo-climatic zones across Europe (IT, DE, DR, ES, PL, CZ, UK), Egypt, and Pakistan. Furthermore, we will integrate remote sensing and crop modelling to survey fields, upscale the field-scale results, and create a web-based decision support system on intercropping. In collaboration with various stakeholders, legume-intercropping systems' economical, ecological, and social gains will be assessed and disseminated with international outreach from farm-level to policymakers. We will recognize and involve the whole value chain to explore and test innovative marketing strategies for the products of intercropping. LEGUMINOSE will contribute to the ecological intensification of European agriculture by providing science-based, farmer-led, and economically viable transformations for legume-based intercropping systems.

Keywords: ecological intensification,biodiversity,legume,plant soil microbe interaction,cereal,climate change mitigation,plant health,soil fertility
European Food Fraud Community of Practice: From Outset to Operation (EFF-CoP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Coordination and support actions
Countries involved: Ireland,Greece,Norway,Netherlands,United Kingdom,Cyprus,Italy,France,Portugal,United States,Belgium,Croatia
Call: Thematic network tackling food fraud by translating research and innovation into practice (HORIZON-CL6-2024-FARM2FORK-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 2477217.57
EU funding (EUR): 1999790.7
Participants: 20
Project status: SIGNED

Our aim is to revolutionise the combat against food fraud and enhance transparency in our food supply chains. How? By establishing and mobilising The European Food Fraud Community of Practice (EFF-CoP), a sustainable Research and Innovation eco-system of food fraud researchers and end-users based on solid sociological principles. We have gathered a diverse group of stakeholders in our consortium, scientists, regulators, large and small-sized industry, the organic sector, existing networks with >4200 members, and more to lay the groundwork. They are catalysers to reach out rapidly to a large number of prospective EFF-CoP members. That is only the beginning. We will set out to understand the needs of the various stakeholder groups and the network structure to prioritise content and enhance information flows, and we set up the EFF-Hub as our virtual headquarters, an interactive collaborative space. From there, series of activities will be rolled out – sharing existing research and innovation resources and educational materials, developing new ones – Good Practice Recommendations, factsheets, and case study materials, and we will host engaging virtual and live events to facilitate interactive collaboration. These events involve food fraud festivals, gamification-based training courses, living labs, ‘authentic appetites’ podcast series, the EFF-CoP on Tour program, webinars, virtual cafes, a food fraud incident preparedness workshop, and dedicated events for the future generation. Our goal is to cultivate a vibrant community of over 5000 members at the end of the project, all dedicated to combating food fraud and learning from each other. To ensure our EFF-CoP stands the test of time, we are not only implementing the proven concept of ‘CoP design for evolution’ but also a comprehensive exploitation strategy and business plan. Together we will work towards a future with enhanced authenticity, traceability and transparency within our food supply chains.

Keywords: collective learning community of practice food authenticity food fraud
Hop-on NOSEVAC: Mathematical modelling of bioprocesses involved in the respiratory tract colonization and nasal vaccines (NOSEVAC-Modelling)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: Germany,Portugal
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 49.0
Total project cost (EUR): 550000.0
EU funding (EUR): 550000.0
Participants: 2
Project status: SIGNED

The Hop-On NOSEVAC modeling activity (proposed as WP8) aims at developing mathematical and quantitative modeling platforms for nasal vaccines research, to help in the deep understanding, prevention and reduction of nasal colonization and infection by respiratory pathogens. The Hop-On modeling activity brings added value to the NOSEVAC project by combining biological data and theoretical modeling frameworks to deliver a stronger and more robust quantitative analysis of the processes involved both in the mode of action and efficacy of bivalent RNA- and protein-based nasal vaccines against bacterial and viral infection, respectively. Mathematical, bio-statistical and computational modeling will offer a unique opportunity to gather sets of data from pre-clinical and clinical investigations to accelerate the development of the next generation nasal vaccines against nasal colonization/infection by pathogens, and implicitly also aid in preventing and limiting antibiotic resistance. The data and integrative models generated by NOSEVAC and the Hop-On NOSEVAC modeling activity in animal, human and in vitro studies will act synergistically to guide policy makers and funders towards rational decisions on supporting further nasal vaccine development. Modeling tools and frameworks developed for the respiratory pathogens under the focus of NOSEVAC could also be applied to study other pathogens and obtain useful knowledge for other vaccines. By expanding the toolbox of methods, descriptive and predictive models, we will contribute to the global effort in vaccine development and pandemic preparedness.

Keywords: data driven models,mathematical modeling,infection and immunity dynamics,respiratory pathogens,nasal vaccines,colonization,algorithms,computational biology,inter disciplinarity