Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Single-molecule visualization of transcription dynamics to understand regulatory mechanisms of cofactors (DYNACOF)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-05-01
End date: 2030-04-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Transcription is a multi-step process involving many regulatory factors, including cofactors such as Mediator, chromatin remodelers and chromatin modifiers. Cofactors are thought to enhance transcription efficiency, but a detailed mechanistic understanding of cofactor action is still lacking. Inside single cells, the transcriptional process is highly dynamic, with regulatory factors transiently associating to DNA, and transcription occurring in stochastic bursts of high transcriptional activity, interspersed by periods of inactivity. How cofactors regulate these dynamics is so far largely unexplored. In this proposal, we aim to elucidate the molecular mechanisms of cofactor action, by combining perturbation experiments with cutting-edge single-molecule imaging techniques to measure the DNA binding dynamics of regulatory factors (input) as well as the stochastic behavior of transcription (output) in living yeast cells. First, bursting properties will be quantified at endogenous genes upon single and double cofactor perturbations to identify rate-limiting steps that are regulated by cofactors and to determine cooperativity between cofactors. Second, the DNA binding dynamics of cofactors, transcription factors and the preinitiation complex will be determined in wildtype and upon perturbations of cooperating cofactors, allowing us to construct a kinetic model of transcription. Third, building on our recently developed imaging technique, we will develop a new technology to simultaneously visualize the DNA binding of single cofactor molecules and transcriptional output at a single target locus to dissect the functional effect of cofactor DNA binding events on transcription activation. Overall, our results will provide unique insight into the composition of and transitions between transcription regulatory steps, uncovering mechanisms how cofactors increase transcription efficiency.

Keywords: transcription dynamics,single molecule imaging,live cell microscopy,cofactors,chromatin remodelers,chromatin modifiers,gene regulation,stochastic transcription,transcriptional bursting
SUrrogate measures for SAFE autonomous and connected mobility (SUperSAFE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

SUperSAFE "SUrrogate measures for SAFE autonomous and connected mobility" will address the problem of the safety evaluation of the interaction between conventional vehicles and connected and automated vehicles (CAVs). The project builds on the notion that vehicle automation is posing new risks that the traditional accident-based and proactive safety analysis methods are unable to investigate. In SUperSAFE, I will select the relevant variables drew on the newly identified risks posed by CAVs, and with these I will develop a new proactive method based on surrogate measures of safety for studying the effects of the physical and digital infrastructure on the interaction between road users in a mixed-mobility environment. Also considering the benchmarks for cities’ liveability and transport sustainability that include road casualties as a primary factor, the European White Paper on Transport calls to reach zero fatalities by 2050 following Vision Zero’s policy (zero serious casualties). Recent statistics indicate a reduction of traffic accidents but also that this development has slowed and additional efforts are required. At the same time, CAVs are already a reality. Tendency towards vehicle automation is even more evident in the European policies which encourage member states to push with the introduction of vehicles with advanced driver assistance systems. However, the road towards full automation is still not open because there is a fear of crashes/injuries and low acceptance of potential CAV accidents. This is mainly because the CAVs’ behaviour vis-a-vis the conventional vehicles on the road and the digital and physical infrastructure is still unknown. To meet these rapidly approaching needs, I propose SUperSAFE, which will contribute to attaining the aforementioned European goals by developing a scientifically rigorous method of estimating risk based on the road users’ real needs to improve traffic safety in the transition period to fully automated driving.

Keywords: transport sustainability,transport externalities,accident reduction,traffic safety,connected and automated vehicles,road users behaviour,surrogate measures of safety,road users interaction,vulnerable road users,accident frequency prediction,safety modification factors
Novel 2D Metallenes for High-Performance Potassium Ion Storage (2DSb-eneKIB)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 1
Project status: CLOSED

The energy transition of Europe from fossil fuels to sustainable/clean energy greatly increases the demand for energy storage techniques. The lithium ion batteries (LIBs) dominate the energy storage market for over 30 years after their commercialization in 1991. Recently, the price jump of limited Li resource and other cathode materials (Co and Ni) shows an urgent need to explore new-generation energy storage systems. The potassium ion battery (KIBs) is proposed in this project as a promising LIBs alternative for large-scale energy storage systems. However, poor cycling performances hinder the development and application of KIBs. To resolve the lifetime issue of KIBs, this project focus on the investigation of novel two-dimensional (2D) metallenes materials since they have shown intriguing properties like higher conductivity and a larger exposure of metal active sites than other 2D material and bulk materials. The 2D metallenes with reduced width and thickness layers are beneficial to alleviate the stress from volume expansions of large K ion insertion and will achieve highly stable electrochemical performances for KIBs. The proposed 2D metallenes for KIBs in this project will be the first innovation in the area of energy storage and conversion and will bring new scientific knowledge to current studies. I with my host group will combine the expertise and techniques to make a difference.

Keywords: potassium ion battery 2d metallenes
A complex systems approach towards REsilient and CONNECTED vulnerable European communities in times of change (RECONNECTED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Netherlands,Spain,Germany,Finland,France,Portugal,Switzerland,United Kingdom,Denmark,Kosovo
Call: Boosting mental health in Europe in times of change (HORIZON-HLTH-2022-STAYHLTH-01-two-stage, 2022)
Start date: 2023-06-01
End date: 2027-11-30
Duration (months): 54.0
Total project cost (EUR): 5562880.0
EU funding (EUR): 5562880.0
Participants: 14
Project status: SIGNED

Europe is facing a number of global challenges such as digitalisation, migration, and climate change which increase demands on citizens’ resilience and puts them at risk of developing mental health problems. RECONNECTED responds to this problem by developing and testing a digital support system to promote resilience and connect vulnerable citizens in socially disadvantaged communities and evaluate whether this results in citizens’ improved mental health, increased mental health awareness, reduced stigma, and improved social participation, at affordable costs for implementation. Taking a complex systems approach, the project will first extend and test a recently developed theoretical integrative framework of urban mental health to include mental health responses to global transitions. This will provide a good understanding of how risk and protective factors at the individual, social, environmental, and societal levels interact dynamically and impact on mental health. The framework will provide actionable insights for policy decision making and will be used to develop a support system with intervention tools targeting individual and social levels simultaneously. The platform will be co-created with stakeholders in the local community in nine European countries. These interventions will be non-stigmatising and empowering and tailored to the needs of the local community. RECONNECTED will test the feasibility and effectiveness of the support system in these communities and, in the final stage, develop implementation scenarios that balance effectiveness with efficiency and scalability to inform policy decision making that can be used throughout Europe. The methodological approach in the project is theory-informed and data-driven, and we will use co-creation throughout the project to ensure that actionable insights and intervention tools are relevant, acceptable, and ethical to end-users and other stakeholders.

Keywords: e mental health,complexity science,resilience,community research,mental health promotion,social participation
Learning with Multiple Representations (LEMUR)

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: Germany,Poland,Belgium,Italy,Cyprus,Netherlands,Sweden,France,Ireland
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 2592784.8
EU funding (EUR): 2592784.8
Participants: 21
Project status: SIGNED

Machine learning methods operate on formal representations of the data at hand and the models or patterns induced from the data. They also assume a suitable formalization of the learning task itself (e.g., as a classification problem), including a specification of the objective in terms of a suitable performance metric, and sometimes other criteria the induced model is supposed to meet. Different representations or problem formalizations may be more or less appropriate to address a particular task and to deal with the type of training information available. The goal of LEMUR is to create a novel branch of machine learning we call Learning with Multiple Representations. We aim to develop the theoretical foundations and a first set of algorithms for this new paradigma. Moreover, corresponding applications are to demonstrate the usefulness of the new family of approaches. We regard LEMUR as very timely, as LMR algorithms will allow to flexible representations (e.g., suitable for explainability, fairness) with diverse target functions (e.g., incorporating environmental or even social impact) so as to make the induced models abide by the Green Charter and trustworthy AI criteria by design. We will focus on learning with weak supervision because it addresses one of the major flaws of modern ML approaches, i.e., their data hunger, by means of weaker sources of labelling for training data. The outcome of the DN will be a set of 10 experts trained to implement the third and subsequent waves of AI in Europe. The highly interdisciplinary and intersectoral context in which they will be trained will provide them with research-related and transferable competences relevant to successful careers in central AI areas.

Keywords: machine learning,artificial intelligence,representation learning,efficiency,accuracy
SST Networking, Security & Data sharing. Horizon Europe TOP5 (HE_EUSST_SD_TOP5)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Cluster 4 other
Destination: Other Digital, Industry and Space destinations
Action type: Innovation actions
Countries involved: Austria,Czechia,Germany,Denmark,Finland,France,Greece,Latvia,Netherlands,Poland,Portugal,Romania,Sweden,Italy,Spain
Call: HORIZON-CL4-SSA-SST-SD - SST Networking, Security & Data sharing (HORIZON-CL4-2023-SSA-SST-ART195, 2023)
Start date: 2023-11-01
End date: 2026-10-31
Duration (months): 36.0
Total project cost (EUR): 7000001.25
EU funding (EUR): 7000000.0
Participants: 20
Project status: SIGNED

This Horizon Europe grant is to be understood within a wider context on EUSST, where other grants are being executed simultaneously with the common objective of improving the EU autonomy on Space Surveillance and Tracking. In particular, this TOP focuses on: - Support the upgrade, development and security issues of EUSST infrastructure based on the European network of assets (sensors, operation centres, front desk …) - The EUSST infrastructure will remain under national control (meaning mainly sensors and operation centres), but increased coordination is needed due to the increased number of assets contributing to the European SST system. - SST networking of sensors & operation centres (EU SST network Command & Control): considering the increased number of objects to be handled, an increased number of events and users is expected. - The European SST system has to evolve to a coordinated scheduling of the resources and assets, ensuring that the events are covered in an optimum way, while the current survey and tracking of the space objects population continues to be performed. - Research on EUSST network hardening against external threats: the research concerns security-critical aspects of the existing EU SST network. - Next generation exchange protocols / solutions for SSA enhancing interoperability and security (robustness, information assurance, intrusion detection…) The starting point of these activities is the output of 2-3SST2018-20, which constitutes the state of the art on SST matters.

Keywords: eusst,sst,partnership,front desk,services,assets,sensors,radars,telescopes,lasers,catalogue,users,collision avoidance,re entry,fragmentation,survey,tracking,autonomy
Productive Signs. A Computer-Assisted Analysis of Evolutionary, Typological, and Cognitive Dimensions of Word Families (ProduSemy)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 2
Project status: SIGNED

All human languages have simple and complex words. Simple words refer to meanings regardless of their form, while complex words are formed from other words, and their formation can be semantically motivated. Since words can share lexical material, we can group them into families. Word families can vary greatly in size, ranging from small ones – comprising only a few members –, to large ones – spanning several hundred words –, but it is still unclear why some words are more productive than others in forming new words. Lexical compositionality has received some attention in historical linguistics, linguistic typology, and cognitive linguistics, but so far studies have mostly concentrated on the morphological complexity of individual words and languages, while the fact that words form families which interact during language change and language use has been typically ignored. As a result, many questions regarding word family formation remain unresolved, and we do not know 1) how word families evolve along language phylogenies, 2) which semantic processes underlying word family formation are universal, and 3) to what extent human cognition influences the productivity of lexical roots to form families. The project will tackle these three target questions by unifying evolutionary, typological, and cognitive insights into lexical compositionality. Building on a computer-assisted framework that reconciles classical and computational approaches in historical linguistics and linguistic typology, the project will design new models to standardize cross-linguistic data on word families, apply them to integrate data from historical linguistics, linguistic typology, and cognitive linguistics, and develop new methods for the computer-assisted inference of word families, their underlying motivation patterns, and their evolutionary histories in large datasets. In this way, the project will deepen the integration of cross-linguistic studies in cognitive and psychological sciences.

Keywords: computer assisted language comparison computational comparative linguistics historical linguistics linguistic typology cognitive linguistics
SPILL CONTROL WITH UNMANNED VESSELS (SCUVE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 36.0
Total project cost (EUR): 3111.0
EU funding (EUR): 3111.0
Participants: 1
Project status: SIGNED

Oil spills are one of the most dangerous threats for maritime environment because pollution caused a great impact in the sensitive marine ecosystem. After a spill incident, a quick removal is the most important activity to avoid the extension of the damage. SCUVE is an innovative and disruptive project for the development of an unmanned boat focused on a quick and efficient recovery of small oil spills (below 3 tons). The solution integrates several UTEK’s proprietary technologies to be developed, modified, updated or adapted for this specific application: unmanned on-board capabilities, payload integration modules, ground control station, mission planner, collision avoidance and data fusion. On the other hand, some payloads will be integrated to perform the operation: sweeping arms to collect the oil, skimmers to remove the oil to the USV internal recovery tank and a tethered unmanned aerial vehicle (UAV) to provide a zenithal view of the whole operation. All activities will be controlled from a remote-control station providing maritime safety during operations. One person can control the system from a comfortable room far away from the dangerous polluted area. The Ground Control Station will automatically generate the shape of the polluted area in a navigation chart of the user interface and an optimized path will be sent to the boat for a better recovery action. The operator can take control at any moment if needed. Main advantages are quick deployment, remoted/autonomous operation, elimination of risks for the crews in contaminated areas, lower operational cost, higher efficiency, the possibility to be operated in bad weather conditions and the option for handicapped people and women in advanced pregnancy to operate the system. Although the main use case is focused on oil spill, some other cases have been identified: removal of marine litter, water & air quality control, algae bloom detection, deployment of booms and application of dispersants.

Keywords: the intention of scuve is to develop an umanned boat specifically designed for the removal of small oil spills 3tons in an efficient and quick way
ReMLP: Recycling Multi-Layer Plastic (ReMLP)

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: Spain
Call: EIC Accelerator Open 2024 (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 3282188.14
EU funding (EUR): 2297531.7
Participants: 1
Project status: SIGNED

There is an urgent need for solutions to tackle single-use plastic waste called multilayer plastic (MLP). While MLP are extremely valuable packaging materials, there is currently no mainstream technically and economically viable solution for recycling them. Fych has developed a patent-protected, ground-breaking recycling process to recycle MLP (ReMLP) and recover the full value of their polymers by removing inks, adhesives, odours, and other contaminants. To date, ReMLP can process 100 kg/day of the +10 most common post-consumer and industrial MLP waste. The success of our prototype plant has already brought in early adopters like FORMASPACK and attracted the interest of plastic recyclers who are struggling to process an overload of non-recyclable plastics and plastic converters who are demanding high-quality recycled plastic materials. We plan to commercialize ReMLP through direct turnkey plant sales (€1.5M/plant) while also generating revenue from royalties of recycled polymers, the supply of customized delaminating reagents and technical assistance for plant operation. We are requesting €2.3M in grant from the EIC to optimize the industrial process over 12 months to ensure the consistent recycling of 500kg/hour and obtaining food contact material approval of the recycled output. This milestone will pave the way to becoming an international reference in the plastic recycling industry. We are also requesting €4.5M in equity (50% co-investment between EIC and private investor)to bring ReMLP to a fully industrial scale of 1,000 kg/hour (TRL9) and leverage a future Series A from new shareholders for scale-up. This project will make 19 industrial ReMLP plants operational by 2029, thus avoiding: 25,080 tonnes of plastics ending up in illegal dumping grounds, 72,960 tonnes from leaking into the environment, the emission of >11,000 tonnes of CO2 associated to the incineration of non-recyclable waste and 80,927 tonnes associated with landfilling.

Keywords: plastic recycling,waste management,delamination,deodorisation,multilayer packaging,circular economy