Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bridging Academia and Enterprises for Innovative Mobility Solutions (MobiNexus)

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: United Kingdom,Serbia,Spain,Croatia,Cyprus
Call: Expanding Academia-Enterprise Collaborations (HORIZON-EIE-2024-CONNECT-02, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 640208.23
EU funding (EUR): 499952.01
Participants: 6
Project status: SIGNED

The MobiNexus project aims to bridge the gap between academia and industry, catalyzing innovation in the transport and mobility sector through its focus on the triple revolution of electrification, automation, and digitalization. The project aligns with the European Green Deal and the Sustainable and Smart Mobility Strategy to reduce greenhouse gas emissions in the transport sector by 90% by 2050. By leveraging the Mobility Innovation Network (MIN) platform, MobiNexus seeks to integrate educational institutions with industry stakeholders, fostering collaboration and driving forward the development of sustainable mobility solutions. Key activities include the creation of innovation hubs, the use of AI-driven matchmaking for industry-academia partnerships, and the deployment of immersive workshops. Furthermore, the project emphasizes skill development through its User-Centric Entrepreneurship Academy, offering cutting-edge training in green, digital, and entrepreneurial areas, ensuring that the European transport sector remains competitive and environmentally sustainable. Ultimately, MobiNexus aims to foster interconnected innovation ecosystems across Europe, improving collaboration, innovation capacity, and market readiness in the mobility sector.

Keywords: user centric innovation,collaboration,entrepreneurship
Geometry-driven self-organisation in active living matter (GOAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-09-01
End date: 2031-08-31
Duration (months): 60.0
Total project cost (EUR): 1473000.0
EU funding (EUR): 1473000.0
Participants: 1
Project status: SIGNED

Living materials process information through their physical degrees of freedom, enabling autonomous functions beyond the capabilities of electronic systems. For example, a migrating cell uses its own shape dynamics to navigate through complex environments and decide which way to go. Yet, the principles underlying such physical information processing have not been identified due to the complexity inherent to problems involving fluctuating dynamic boundaries, and the need for a multidisciplinary approach to link theory with experiments. Building on recent scientific and methodological advances from my group, I propose to investigate how soft active materials perform computations and self-organise functional behaviours using the deformations of their own shape. Specifically, using surface anchoring effects in anisotropic materials as a paradigm for physical shape sensing, GOAL will identify how information is transferred from the covariant dynamics of active boundaries to surface-controlled bulk states, enabled by our novel approach to simulate active surface fluctuations (WP1-2). Combining theoretical results with experimental data from the technological frontier of biology, we will identify how the coupling between anisotropic materials and their geometry generates functional behaviours, such as autonomous object avoidance or embryo self-organisation (WP3). Lastly, we will leverage the visual accessibility of geometrical features to probe how machine learning approaches infer geometry-driven states and transitions from images, and to test our information theoretical predictions on shape sensing (WP4). GOAL will likely lead to the discovery of universal principles for shape-adaptive matter, because the nonlinear dependencies that arise from geometrical relations express fundamental mathematical properties of space that hold across all scales and contexts.

Keywords: physical information processing,anisotropic living matter
Targeting cardiac fibrosis with next generation RNA therapeutics (FIBREX)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Germany
Call: EIC Transition Open 2021 (HORIZON-EIC-2021-TRANSITIONOPEN-01, 2021)
Start date: 2022-08-01
End date: 2025-05-31
Duration (months): 34.0
Total project cost (EUR): 2499482.0
EU funding (EUR): 2499482.0
Participants: 1
Project status: SIGNED

The aim of FIBREX is developing a novel, highly innovative and close to clinical readiness noncoding RNA (ncRNA)-based antisense oligonucleotide therapeutic for the treatment of heart failure (HF) derived from cardiac fibrosis. HF is the most common cause of morbidity and mortality with pressing social and economic burden. HF remains a deadly disease with no curative treatment, underlining the need for innovative therapeutic strategies. The revolutionary technology we are proposing acts by reversing cardiac fibrosis, the main driver of HF development and progression. The excess fibrotic tissue leads to continous stiffening and impairment of the heart muscle. In our prior work, ncRNA Meg3 was identified as the most promising target, expressed mainly by cardiac fibroblasts and by consistent transcriptional dysregulation in HF models. The critical role for Meg3 in cardiac fibrogenesis was validated both in vitro and in vivo and a lead compound targeting Meg3 showed promising efficacy in relevant models, human tissues and excellent exploratory safety data. We propose a development project for an antiMEG3 inhibitor to reach close to clinical readiness, by completing non-clinical pharmacodynamic and safety studies.This work will be carried out by an experienced team headed by Prof. Thum, with a track record of discovering and licensing various ncRNA inhibitors programs, and creating a clinical stage spin-off company Cardior, reaching phase 2 development and Series B funding. We are confident that our technology with the requested support will be further advanced into an innovative novel drug candidate and, driven by the substantial value increase, the project will be transitioned into a spin-off drug development or a licensing-deal with the industry. The development of the unique, RNA-based antiMEG3 therapeutic approach for HF derived from excessive fibrosis offers a new opportunity to revolutionize medical practice, reduce health care costs and improve patient's life.

Keywords: next generation noncoding rna therapeutics
GenomeDia: a personalized medicine tool for diabetes (GenomeDia)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-08-01
End date: 2026-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Diabetes Mellitus affects nearly 600 million people worldwide. It is a major cause of premature death, blindness, end stage kidney disease, and limb amputation. However, it is not a single disease. Most patients are catalogued as type 2 diabetes, which is itself highly heterogeneous, while others have autoimmune type 1 diabetes. Genetic testing is currently able to define the precise cause of diabetes in a small group of young patients, although the categorization of diabetes subtypes is in most cases largely based on clinical judgement, rather than on specific tests. It is known, however, that the classification of diabetes subtypes has major implications for treatment. The emergence of whole genome sequencing in clinical practice provides new opportunities for classification of diabetes subtypes, but also entails major challenges such as the interpretation of non protein-coding variants. The recently funded ERC project DecodeDiabetes analyzed sequences from nearly 1500 young patients who had typical features of genetic forms of diabetes, but negative genetic tests in specialized genetic diagnostic laboratories. This study revealed different groups of genetic variants that cause diabetes in young patients with diabetes. It also developed approaches that leverage regulatory genomic knowledge to define noncoding genetic defects underlying human disease. The current proposal aims to compile new findings with existing knowledge, and to build a genetic interpretation solution to subcategorize young patients with diabetes. It will then validate this tool in patient cohorts. This proposal can thus translate fundamental knowledge derived from the ERC-funded Decode Diabetes project into applications whose valorization can bridge the gap to market and provide added value for society.
Food-scalEUp: expanding the European digital agri-food acceleration ecosystem (Food-scalEUp)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Spain,Netherlands,Hungary,Germany,France
Call: Expanding Acceleration Ecosystems (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-09-01
End date: 2024-11-30
Duration (months): 27.0
Total project cost (EUR): 1127060.9
EU funding (EUR): 993786.44
Participants: 10
Project status: CLOSED

Food_scalEUp is a collaborative project involving 10 organisations covering 11 regions (5 emerging & moderate innovator regions and 6 leader and strong innovator regions, according to the Regional Innovation Scoreboard) in 5 countries. The project long-term vision is to foster the capacity of European regional agri-food digital innovation ecosystems, especially in “emerging” and “moderate” innovator regions, to be more: • connected among their regional stakeholders but also with other European regional ecosystems; thus, advancing towards a European acceleration ecosystem; • effective, by fostering the successful scaling-up of technology start-ups and SMEs; • impactful, in terms of fostering the digital and green transition of the food industry; • resilient; thus, still effective under crisis and highly changing conditions; and • internationally recognised by and attractive for companies from other countries. More specifically, the mission of Food_scalEUp project is to: (i) develop higher quality business acceleration services in agri-food digital innovation ecosystems of emerging and moderate innovator regions; (ii) expand the connections, knowledge exchange, collaboration at regional, European and international level, between key people representing the different actors of the agri-food digital innovation ecosystems involved in the project; and (iii) balance the scaling-up of start-ups and SMEs and the creation of local high-value added jobs in the European regions involved in the project, by balancing the capacity of agri-food digital innovation and acceleration ecosystems in those regions.

Keywords: agri food
Wargames as Experiments: Strategy and Unintended Escalation (WESUE) (WESUE)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2026-04-30
Duration (months): 32.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

We have no been this close to nuclear conflict since the Cuban missile crisis. U.N Secretary-General António Guterres, as reported by the BBC, acknowledged this fact recently at the 2022 Review Conference of the Non-Proliferation Treaty (NPT): “Today, humanity is just one misunderstanding, one miscalculation away from nuclear annihilation.” Examples are many at present where the specter of nuclear escalation is real. In the context of the Ukrainian War, Foreign Minister Lavrov and President Putin have both made clear the help of NATO to Kiev increased made nuclear war a possibility. As reported by Bloomberg he stated “The danger is serious, real. It can’t be underestimated.” This followed the order by President Putin in February 2022 to put the nation’s nuclear forces on high alert. As such, it is now more than ever crucial to understand the causes of the nuclear restraint we have experienced until now so that we can understand what makes escalation more likely, and inform strategic nuclear decisions with this scholarship. This is the aim of Wargames as Experiments: Strategy and Unintended Escalation (WESUE): to understand how nuclear restraint could fail and lead to nuclear escalation. WESUE uses a geopolitical software as an experimental method to conduct causal research in the field of nuclear strategy, a novelty. This is an emerging field, which would place WESUE right at the cutting edge of research, with a strong emphasis on NATO and Asia, hence the choice of basing the operation of this research project in Denmark at the Centre for War Studies (CWS) at the University of Southern Denmark (SDU). WESUE will offer a simplified version of a war game that can be played repeatedly, easily, and can isolate mechanisms through randomized treatment. According to the Doomsday clock, we are less than two minutes to midnight.

Keywords: nuclear strategy,international security,nato,european union security,russia,north korea,experimental methods,escalation and war
Mobile Worlds: empowering third cultures for sustainable and inclusive mobility (MobileWorlds)

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: Norway
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-08-01
End date: 2026-01-31
Duration (months): 30.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: SIGNED

The overall goal of MobileWorlds is to explore pathways to better integrate socio-cultural diversity into today's institutions, so they may better deal with contemporary challenges of sustainable mobility and societal inequalities. Such pathways are sought by engaging explicitly with third culture experiences to identify concrete diverse imaginaries and allowing these to feed into equally diverse solutions that can realistically be implemented. Third cultures are unique cultures that emerge from contact with different home and contextual cultures during the formative years of an individual. These third cultures are increasingly common in a globalising world, and may have important repercussions for imaginaries for sustainable and just mobility futures. As such, they provide promising sources for pathways that integrate socio-cultural diversity into today's institutions. Bergen, Norway and Porto, Portugal are known for cultural diversity and advancement in sustainable mobility. Combined, they provide both a Northern and a Southern European perspective and a particularly interesting context within which to research this subject. MobileWorlds delineates four key objectives: (1) To solidify and expand the concept of third cultures, (2) To develop methods and methodologies that encourage artistic engagement of all ages and socio-cultural groups in mobility planning, (3) To engage communities in mobility planning through arts-based events and activities, and (4) To support my future career development through arts-based research and engagement training and expanding academic and artistic networks and experience. The hands-on experience and training will help to accomplish my career goals securing an Assistant Professor position in the field of Mobility Planning or working in public engagement for an NGO promoting sustainable mobility. With such a position I hope to contribute to improve the sustainability and justice of the world through diverse and inclusive approaches.

Keywords: third cultures,social inclusion,pluralist imaginaries,sustainability,mobility
Probabilistic Formal Verification for Provably Trustworthy AI (PFV-4-PTAI)

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: Information Science and Engineering
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-03-01
End date: 2026-02-28
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: SIGNED

This project is concerned with the formal verification of modern Artificial Intelligence (AI) systems with Machine Learning (ML) components. Certifying that an AI satisfies certain requirements, such as fairness or safety standards, is pivotal for the regulation and use of this technology in many domains, especially those with high socio-economical stakes. Techniques that can provide formal guarantees on modern AI will have broad impacts on multiple areas described in the Horizon Europe strategic plan 2021-2024. The proposed framework goes beyond the state-of-the-art by adopting a probabilistic approach that satisfies three desiderata. First, it supports arbitrarily complex distributions, handling uncertainty over both non-deterministic systems and/or complex, multidimensional enviroments. Second, it unifies under the same formalism the verification of a multitude of ML models and properties of interest. Third, it enables the verification of ML models as part of a larger system and promises an easier integration into the existing probabilistic formal verification (PFV) tools. The approach is based on the notion of Weighted Model Integration, a recent formalism that enable probabilistic inference over arbitrary combination of logical theories and algebraic constraints. Paolo Morettin is one of the most prolific authors in the novel but vibrant field of WMI. Having both industrial experience in formal verification and a ML-oriented scientific background, he is the ideal candidate for pushing the boundaries of WMI-based probabilistic formal verification. As a MSCA postdoctoral fellow, Paolo Morettin will advance the state-of-the-art with both theoretical and technological contributions, with the ultimate goal of enabling and facilitating the integration of the proposed framework into the existing PFV tools. At the same time, he will develop a highly valuable multidisciplinary ML/FV background, enhancing his career perspectives.

Keywords: probabilistic formal verification,machine learning,safety,fairness
Hydrogen Storage in Electric Field Responsive Metal Organic Frameworks Studied by Machine Learning Potentials (HydroMOF)

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: Chemistry
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 2
Project status: CLOSED

Hydrogen storage is a key technological barrier to the development and widespread use of hydrogen energy in transportation, stationary, and portable applications. The safe and efficient storage of H2 is an important and still challenging issue. In this regard, metal-organic frameworks (MOFs) possessing large surface areas, a variety of topological/chemical structures, high porosities, and high stabilities are considered promising nanoporous materials for gas storage applications. Theoretical studies have shown that electric fields can promote gas storage in MOFs by inducing controlled structural changes, which has recently been experimentally confirmed. To unravel the underlying mechanisms at the atomic level, I aim to investigate the H2 storage characteristics of electric field responsive MOFs by combining machine learning (ML) and molecular modeling methods. In order to model switchable MOFs, I will construct machine learning potentials and use them in Molecular Dynamics (MD) simulations in order to overcome the restricted time and length scales of ab-Initio MD, and the accuracy and reliability concerns of MD. In order to determine the H2 uptakes of the MOFs, I will push the limits further and combine machine learning potentials with the Grand Canonical Monte Carlo (GCMC) simulations. The main research objectives are to generate accurate machine learning potentials with a low computational time cost, determine how selected MOFs react to an applied electric field, control pore opening/closing, control and improve H2 uptake by switching electric field, determine the impact of an electric field on the interaction between the host and H2 as well as on the presence of different adsorption sites. This project has the potential to be a “door-opener” for fast and accurate design of switchable MOFs and boosting their applications in H2 storage by providing a fundamental perspective.

Keywords: machine learning methods in chemistry
New measurement of ultra-high energy interactions using radio detection of cosmic ray air showers (RADIO4MU)

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: Physics
Countries involved: Spain,Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-03
End date: 2024-10-02
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 2
Project status: CLOSED

The Pierre Auger Observatory detects extensive air showers that are initiated by protons or nuclei reaching Earth's atmosphere with energies exceeding 10**18 eV (ultra-high energy cosmic rays (UHECR)). The center-of-mass energy of the initial interaction of the CRs in the atmosphere exceeds the energies reached at the LHC by more than an order of magnitude. One of the key results of Auger is the discovery that these interactions of UHECRs do not behave as expected. Compared to simulations the measured air showers contain many more muons. This discrepancy could be simply due to the uncertainty inherent in the extrapolation from the energy scale of the LHC, where we can measure interactions in detail, to UHECR energies. Or it could be new physics! This project proposes to distinguish the two scenarios by the detailed measurement of the shower-to-shower distribution of the muon content as the shape of the distribution is driven by the quantum fluctuations in the first UHE interaction which are sensitive to new physics and the details of hadronic interactions. The measurement will for the first time use hybrid data from the surface and radio detectors of the Pierre Auger Observatory.

Keywords: origin of ultra high energy cosmic rays,muon puzzle in extensive air showers