Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Untranslated regions of RNAs and protein networks in pathological phase separation: UNDERPIN (UNDERPIN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
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): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: CLOSED

Aggregation of RNA binding proteins (RBPs) is a pathological hallmark of neurodegenerative pathologies such as Amyotrophic Lateral Sclerosis. The mechanism leading to RBP aggregation relies on the ability of these proteins to transition into membrane-less compartments such as the stress granules (SG) whose formation is normally regulated in physiological conditions. Yet, as RBPs are intrinsically prone to coalesce in large assemblies, their accumulation, when unregulated, can lead to cell toxicity. While the effects of amino acid mutations on RBP aggregation have been extensively investigated, a large amount of evidence indicates that nucleotide variants in untranslated regions (UTRs) can strongly impact RBP expression by altering the interactions with specific regulatory proteins. UTRs provide a platform where multiple RBPs bind to orchestrate post-transcriptional regulation. I envision that UTRs, by directing contacting specific protein networks are crucial in aggregate formation and that alteration of their interactomes—due to disease-linked mutations—could impact the propensity to form SG and other assemblies. The main objective of UNDERPIN is to reveal interactions in regulatory regions of RBPs and to understand their effects on phase separation in physiology and pathology. Firstly, I plan to investigate the effects of disease-linked mutations on UTRs of RNAs encoding RBPs by large-scale predictions of UTR-RBP interactors. Secondly, interactions between RBP and selected UTRs, with and without disease-linked mutations, will be revealed in human cells by RNA-protein interaction detection experimental method RaPID. Finally, the biological implications of UTR-mediated recruitment of RBPs will be deciphered providing molecular details on how UTRs and RBPs promote the formation of aggregates. Successful completion of this project will not only lead to new insights into RBP biology, but will also pave the way to understand early events of neurodegeneration.

Keywords: rna binding proteins untranslated regions post transcriptional regulation stress granules liquid liquid phase separation neurodegeneration
A Novel Framework Predicting Steady Flow and Solute Transport in Partially Saturated, Heterogeneous Media. (USFT)

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: Environment and Geosciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: CLOSED

Understanding and quantifying flow, transport, and reaction processes in partially saturated heterogeneous media and their consequences on the relevant Darcy-scale for different multiphase conditions and flow dynamics, remains one of the leading open challenges in porous media research. In this project, we develop a novel framework to predict flow & transport processes at the micro and Darcy scales, in partially saturated media, from the basic pore structure parameters and general flow dynamics. Flow & Transport processes in heterogeneous multiphase media span a variety of disciplines: physics, chemical engineering, environmental practices, geology, agriculture, microbiology, petroleum recovery, to name a few. This project novelty advances current knowledge on several lines. First, we will renew our current perception of the interplay between stable and unstable processes, in multiphase systems, on the most basic pore system features (water-filled pore size distribution). Second, we will develop a Lagrangian CTRW upscaling framework to partially saturated media. These accomplishments and their integration will allow us to characterize diverse flow regimes in heterogeneous media within a unique template that is entirely predictive (i.e., not parameterized by the transport parameters or the spatial pore-scale flow field). This interdisciplinary endeavor incorporates particle dynamic models, macroscale stochastic methods, CFD models, and meta-analysis of microfluidic devices experiments and numerical direct pore simulations. To this end, the project will draw from the complementary skills of the supervisor and the researcher. In this context, this action is fully compatible with the MSCA Work Programme goals: • high-quality researchers’ training and supervision • strengthening research capacity • providing fairer and more attractive working conditions • building new and sustainable international and inter-sectoral partnerships and networks.

Keywords: flow and transport,upscaling,ctrw,percolation,pore size distribution,flow stability
Machine learning for decision making under uncertainty (DECIDE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Denmark
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2491210.0
EU funding (EUR): 2491210.0
Participants: 1
Project status: SIGNED

Many important decisions are taken under uncertainty since we do not know the development of various parameters. In particular the ongoing green transition requires large and urgent societal investments in new energy modes, infrastructure and technology. The decisions are spanning over a very long time-horizon, and there are large uncertainty towards energy prices, demand of energy, and production from renewable sources. Such problem can be described as two-stage stochastic optimization problems, where we first decide which facilities to establish, and then we have to schedule the production/transportation for a stochastic demand, using the given facilities. If the decision variables are discrete, such problems are extremely difficult to solve. In this project we will develop a new framework for investment decision making under uncertainty based on a combination of machine learning and operations research. Instead of solving a complex stochastic optimization problem defined on a fixed set of forecasted scenarios, we propose to use an iterative process: We repeatedly generate new scenarios, solve them using advanced optimization methods, and find the corresponding investment solutions. Our novel way of optimization will use deep generative models (DGMs) to generate small sets of scenarios matching the real distribution, and use a guided local search process to select scenarios that properly reflect properties of the full set of scenarios. The outcome of the iterative process is a palette of near-optimal solutions, which can be analyzed using data science methods to extract associations in investments, outrank dominated choices, and organize investments according to urgency. Knowing the full spectrum of possible choices opens up for a much broader discussion of investments, while allowing soft constraints to also be taken into account. This will enable a more transparent and inclusive decision process, while ensuring well-founded and more robust investment decisions.

Keywords: stochastic optimization,combinatorial optimization,decision support,machine learning,deep learning generative models,data science
Holography in the Gravitational Wave Era (HoloGW)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Spain
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2499451.0
EU funding (EUR): 2499451.0
Participants: 1
Project status: SIGNED

The revolution unleashed by the discovery of gravitational waves will gradually unfold over the coming decades. The detection of a neutron star merger by LIGO and Virgo opened a new era in multi-messenger astronomy. Future ground-based interferometers, such as the Cosmic Explorer and the Einstein Telescope, will extend the range of detection to the entire Universe, and the frequency to millions of detections per year. Space-based missions like LISA may discover gravitational waves from phase transitions in the early Universe. Reaping the benefits of this experimental revolution requires a theoretical understanding of quantum matter coupled to dynamical classical gravity. The fact that the relevant physics is often out-of-equilibrium and/or strongly coupled makes this a challenging regime for conventional approaches. The purpose of this project is to use holography, also known as gauge/string duality, to make essential contributions in this direction. I have recently pioneered and provided proof of concept that this line of research is both powerful and feasible. In the next five years I will turn these initial investigations into a fully-fledged research program to improve our understanding of: (i) Cosmological phase transitions, in particular of bubble dynamics and baryogenesis; (ii) Neutron stars, with a focus on out-of-equilibrium physics in binary mergers; (iii) Spacetime singularities, specifically in the presence of quantum matter effects. These three main objectives are interconnected by two horizontal lines: (i) Identification of universal observables, which hold the best potential to make contact with experiment; (ii) Communication with other fields, which is crucial for the success of an interdisciplinary proposal.

Keywords: holography,gravitational waves,cosmological phase transitions,neutron stars,spacetime singularities
Determining the mechanistic role of gremlin 1 in the profibrotic activation of monocyte-derived macrophages and in the pathogenesis of idiopathic pulmonary fibrosis (IPF-MDM-GREMLIN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Ireland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 268568.64
EU funding (EUR): 268568.64
Participants: 1
Project status: SIGNED

The problem: Idiopathic pulmonary fibrosis (IPF) is a rare, progressive lung disease resulting in respiratory failure. IPF is irreversible and patient’s median survival is 3-5 years post-diagnosis. The only curative recourse is lung transplantation because nintedanib and pirfenidone, the only two treatment options slow disease progress but do not cure or cause disease regression. Specific depletion of profibrotic monocyte-derived macrophages (MDMs) protects mice against pulmonary fibrosis suggesting a causal role for MDMs in disease development. While these depletion approaches can be undertaken experimentally, they cannot be performed in humans because MDMs are required for normal immunity. Thus, a targeted blockade of the mechanisms causing excessive profibrotic activation of MDMs is required to develop novel therapeutic approaches. The discovery: My proposal arises from the Host's recent finding that depletion of the bone morphogenetic protein antagonist GREM1 in mouse MDMs inhibits their profibrotic activation. The proposal: My proposed work will determine whether targeted deletion of GREM1 in human MDMs inhibits their profibrotic activation and prevents pulmonary fibrosis in an animal model. The objectives: To evaluate the above, I have identified two specific objectives (SO): SO1. Determine the precise roles of endogenous and exogenous GREM1 in regulating the profibrotic activation of MDMs derived from IPF patients and healthy controls SO2. Determine whether GREM1 deletion in MDMs protects against pulmonary fibrosis in an animal model The outcomes: I will determine the role of MDM-derived GREM1 in pulmonary fibrosis potentially identifying a new therapeutic approach. I will receive critical training in a world-class institution, allowing my research to span clinical and pre-clinical studies to in-vivo imaging and omics techniques. The scientific and transferable skills I will obtain are essential for a successful academic or non-academic career.

Keywords: lung,idiopathic pulmonary fibrosis,monocyte derived macrophage,gremlin 1,profibrotic activation,resident macrophage
safeGUARDing biodivErsity aNd critical ecosystem services across sectors and scales (GUARDEN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: France,Spain,Greece,Netherlands,Belgium,Madagascar,Cyprus,United Kingdom
Call: User-oriented solutions building on environmental observation to monitor critical ecosystems and biodiversity loss and vulnerability in the European Union (HORIZON-CL6-2021-GOVERNANCE-01, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 4556888.75
EU funding (EUR): 4556888.75
Participants: 19
Project status: SIGNED

GUARDEN’s main mission is to safeguard biodiversity and its contributions to people by bringing them at the forefront of policy and decision-making. This will be achieved through the development of user-oriented Decision Support Applications (DSAs), and leveraging on Multi-Stakeholder Partnerships (MSPs). They will take into account policy and management objectives and priorities across sectors and scales, build consensus to tackle data gaps, analytical uncertainties or conflicting objectives, and assess options to implement adaptive transformative change. To do so, GUARDEN will make use of a suite of methods and tools using Deep Learning, Earth Observation, and hybrid modelling to augment the amount of standardized and geo-localized biodiversity data, build-up a new generation of predictive models of biodiversity and ecosystem status indicators under multiple pressures (human and climate), and propose a set of complementary ecological indicators likely to be incorporated into local management and policy. The GUARDEN approach will be applied at sectoral case studies involving end users and stakeholders through Multi-Stakeholder Partnerships, and addressing critical cross-sectoral challenges (at the nexus of biodiversity and deployment of energy/transport infrastructure, agriculture, and coastal urban development). Thus, the GUARDEN DSAs shall help stakeholders engaged in the challenge to improve their holistic understanding of ecosystem functioning, biodiversity loss and its drivers and explore the potential ecological and societal impacts of alternative decisions. Upon the acquisition of this new knowledge and evidence, the DSAs will help end-users not only navigate but also (re-)shape the policy landscape to make informed all-encompassing decisions through cross-sectoral integration.

Keywords: interactive policy formulation for ecosystem services,capturing the effects of climate change worldwide,multi stakeholder partnerships,deep learning based mapping of species composition and habitat
Flexible Megawatt Charging Systems, open software architectures, and planning modules creating multi-charger hubs for the European electric mobility system (FLEXMCS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Partnership: 2ZERO (co-programmed)
Countries involved: Belgium,Netherlands,Italy,Switzerland,Poland,Spain,Germany,Austria,United Kingdom
Call: Integrated flexible multipoint megawatt charging systems for electric truck mass deployment (2ZERO Partnership) (2024) (HORIZON-CL5-2024-D5-01, 2024)
Start date: 2025-01-01
End date: 2028-06-30
Duration (months): 42.0
Total project cost (EUR): 9687746.75
EU funding (EUR): 7671654.5
Participants: 19
Project status: SIGNED

For the mass deployment of electric trucks, the FLEXMCS project aims to overcome challenges regarding the acceleration of the roll out of charging infrastructure, in expanding grid capacity and available charging infrastructure. FLEXMCS designs highly energy-efficient megawatt-charging hubs with multiport chargers, which improve the utilisation and can be used flexible, for HDVs during fast charging, but also at night for slower charging and for light vehicles. The project will integrate renewable energy sources in the charging hub to minimize energy losses and grid impact. Furthermore, the project will develop tools for optimal utilisation of charging infrastructure and user convenience. An Open Charging Framework architecture, will create real-time data exchange between CPOs and truck, to match the supply and demand of charging infrastructure. Part of the project is also the streamlining of the planning and installation of new charging hubs, identification of optimal geographical locations along TEN-T corridors and optimizing hub architecture and layout, and addressing technical and non-technical barriers. FLEXMCS will demonstrate and assess the FLEXMCS megawatt-charging hub concept and upscaling strategy, validating technology effectiveness and formulating business cases. The project partners include Vrije Universiteit Brussel as the coordinator, along with Hitachi Energy, JEMA Energy as charging infrastructure suppliers, ElaadNL representing grid operators, IVECO spa and DAF trucks regarding the interoperability for trucks, Bosch Service Solutions GmbH for access and control systems on the charging hub, Alfen for stationary energy storage, Ricardo, TNO, IDIADA Automotive Technology SA and Austrian Institute of Technology for the development of tools and algorithms, and ALICE and Gruber Logistics SPA for giving an end-user perspective on all systems.

Keywords: charging hub,mcs,megawatt charging,hdv,truck,parking,flexible,interoperable,multiport,charger,infrastructure,ten t
Agroforestry at the forefront of farming sustainability in multifunctional landscapes in Europe (REFOREST)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Land, ocean and water for climate action
Action type: Research and Innovation actions
Countries involved: Czechia,Spain,Belgium,Denmark,Hungary,Germany,United Kingdom,Poland,Bulgaria,Netherlands
Call: Agroforestry to meet climate, biodiversity and farming sustainability goals (HORIZON-CL6-2021-CLIMATE-01, 2021)
Start date: 2022-07-01
End date: 2026-06-30
Duration (months): 48.0
Total project cost (EUR): 3333691.25
EU funding (EUR): 3333691.0
Participants: 14
Project status: SIGNED

The primary mission of the project is to foster innovation, knowledge exchange and provide novel solutions to empower farmers in Europe and associated countries to deliver to multiple objectives: food production, carbon capture, and biodiversity. Agroforestry is an auspicious land use type, allowing farmers to continue producing food while significantly improving the environmental sustainability of their operations. Integration of trees into agricultural business contributes to a host of ecosystem services, lowering the environmental and social impact of food production. Past research has attempted to foster the renaissance of agroforestry in Europe, resulting in a sizeable knowledge base and modelling capability. The most critical barriers to agroforestry adoption in Europe relate to lack of knowledge, impact of tree planting on farm business, and unclear policy support positioned between agriculture and forestry. We will employ a co-creation and multi-actor approach as our fundamental research method to place agroforestry systems in the right balance of farm productivity, socio-economic viability and sustainability. We will maximise the use of existing knowledge and data, utilise agroforestry living labs built upon foundations laid by previous projects, and establish a stakeholder and actor engagement platform to enable knowledge transfer, training and innovation. This project will prioritise enhancing knowledge exchange and transfer, enabling the integration of carbon and biodiversity finance in farm business models, and by proposing targeted policy interventions as solutions to overcoming barriers to agroforestry expansion.

Keywords: agroforestry,agriculture,forestry,farming,landscapes,ecosystem
DIFFUSER AUGMENTED WIND TURBINES FOR C&I-SCALE (DAWTCI)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Norway
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Ventum Dynamics is a Stavanger-based (NO) venture established by pioneers in the area of wind energy and industry automation. The founders recognized that there was a growing demand for smaller and more efficient wind turbines that could be deployed in a wide range of environments, including urban and suburban areas - empowering businesses to take control of energy costs, improve energy security, and cut carbon emissions. The company’s novel Diffuser Augmented Wind Turbines (DAWT), supported by 6x patents, tap into an as-of-yet unused energy resource; turbulent wind flows in a built environment. By the end of 2024, our first ‘VX175’ turbines will be installed in the UK and DK, marking the beginning of our journey to bring rooftop wind energy to the masses. The closed and omnidirectional DAWT can operate both grid-connected and off-grid, thereby helping to increase resilience in times of shortages from other power sources. DAWT technology does not compete for space nor demand large building projects affecting nature, birds, or animals. Our projected LCOE of 0.05 €/kWh in 5 years will make rooftop wind highly competitive and complementary to solar PV and storage. Barriers to entry are addressed head-on, including ease of application and use, reliability, precision, and pleasing aesthetics. Our ultimate vision is that the use of DAWT technology will one day become a “standard” building feature for industrial developers, landlords and residential multi-story building owners. The technical and commercial objectives laid out in the EIC Accelerator stage 1 proposal, to be further elaborated in a stage 2 proposal, will lead to a step-change in both economic and environmental performance; i) materials development and 100% component recycling, ii) upscaled units where we emphasize strategic industrial partnerships, and iii) hybrid plant configurations to extract the best from PV and DAWT based on a novel control system and proprietary site assessment software.

Keywords: wind energy,renewables,automation,integrated systems