Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MUlti-Scale models of Eco-evolutionary popUlation dynaMics (MUSEUM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France
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): 1249290.0
EU funding (EUR): 1249290.0
Participants: 1
Project status: SIGNED

The goal of MUSEUM is to develop robust methods for the asymptotic analysis of unconventional multi-scale integro-differential equations from evolutionary biology and their connection with stochastic processes. These equations involve nonstandard nonlinear integral terms and, under specific conditions of small variance and long time, exhibit solutions that concentrate around one or multiple evolving points. We will develop new methods for the asymptotic analysis of models with nonlinear reproduction operators, in the regime of small variance. In these models, the nonlinearity of the reproduction operator comes from sexual reproduction, involving two parents, as opposed to asexual reproduction, which only involves one parent and which can be modeled by linear operators. Both of these reproductive modes are relevant to many living organisms. A recent theory, that encompasses Hamilton-Jacobi equations offers robust methods for the asymptotic analysis of integro-differential models with linear asexual reproduction. However, these methods, relying on comparison principles and viscosity solution theory, prove inadequate in the case of nonlinear sexual reproduction. Nonlinear reproduction operators introduce new features, yet their analysis remains considerably underdeveloped. Their treatment requires a conceptual leap. Addressing stochastic effects in small subpopulations, we will also analyse large population and long time limits of stochastic individual-based models in the small variance regime. In this way, we will palliate the inadequacies of Hamilton-Jacobi approximations. The methods that we will develop through this project will offer theoretical biologists the opportunity to go beyond their current possibilities and explore new frontiers.

Keywords: asymptotic analysis,nonlinear integro differential equations,hamilton jacobi equations,models from evolutionary biology,stochastic individual based models,large population limits
Simplifying the SNAP-ADAR Tool for Broad Usage in Life Science Research and Drug Discovery (SNAP-ADAR Kit)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-06-01
End date: 2023-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

RNA base editing is a promising approach to manipulate genetic information in a transient and dosable way, which breaks new ground in basic Life Science research and drug discovery. In a preceding ERC CoG action, we have engineered the SNAP-ADAR tool, which allows for the particularly precise, efficient and programmable adenosine-to-inosine RNA base editing. However, the broad usage of this tool is somewhat hampered by the need for designing the chemically modified guideRNAs, which currently includes some peptide bond-forming chemistry and nucleic acid gel purification. In this PoC action, we aim to simplify the tool to make it available for a larger section of the Life Science community. Specifically, we aim to simplify the chemistry and the compounds to such an extent that a SNAP-ADAR kit is obtained, which enables the Life Scientist to perform the required chemistry without special equipment or chemistry skills. Furthermore, the kit would include a reliable and simple protocol to perform efficient and precise editing reactions in mammalian primary cells. Profit could particularly be generated from the selling of the chemically stabilized guideRNAs. We envision that the product would find application in the modulation of protein function like signaling cues and metabolic pathways and may foster the target screening and target validation in drug discovery efforts, which are currently ongoing in the field of RNA base editing. The action also contains an analysis of the IP landscape and - at the later stage of the action - we aim to involve industrial partners for commercialization.
Confident data-driven Decision Support (CoRDS)

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,Denmark,Latvia,Netherlands,Ireland,Spain,Italy,United Kingdom,Belgium,Japan
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 4708225.85
EU funding (EUR): 4594588.56
Participants: 22
Project status: SIGNED

The CoRDS project addresses building the next generation of artificial intelligence (AI)-powered decision support tools to allow organizations to tackle complex decision-making problems more effectively and responsibly, such as efficiently managing scarce (natural) resources and reducing their carbon footprints. These tools unify two areas of research, namely Operations Research (OR) and Machine Learning (ML). In OR, specialized optimization methods have been developed to address complex decision problems, but these rely heavily on expert knowledge, limiting their ability to adapt to changing data. Conversely, ML excels in leveraging extensive data for predictive tasks, but struggles with combinatorial optimization. Integrating OR and ML, leading to data-driven optimization (DDO) tools, presents a promising avenue to enhance decision support by combining OR's problem-solving capabilities with ML's data utilization strengths. Furthermore, DDO tools must not only provide high-quality decisions to users in low computational time, they must also comply with government and industry standards, and therefore must be safe, transparent, traceable and non-discriminatory, i.e., follow the principles of trustworthy AI, a significant challenge for most current AI systems. The expertise needed to create and apply DDO methods to real-world problems is severely lacking. The CoRDS doctoral network addresses this critical need by developing a training program to sculpt the next generation of analytics experts combining OR and ML, who will translate their research into prototype tools to address real-life problems defined in collaboration with our industrial partners across various application sectors, including logistics, healthcare, public transportation, production, finance, publishing and machine translation. The CoRDS network further delivers a training framework for others to use and expand.

Keywords: operations research,discrete optimization,heuristic search
Global scaling of the first AI-powered text-to-3D video generation system. (Next Anima)

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 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 12.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

AI trained in UE5 to transform text prompts or scripts into 3D worlds where it is possible to record for audiovisual production, video games, and VR automatically and in seconds. We have developed our own natural language processing models embedded in UE5 logic to generate characters, objects, and environments procedurally and coherently. Thanks to this approach, we are able to create productions consistently, with all the flexibility and control to make changes to the scene, without footage limits and with real-time navigability. In this way, we solve the main problems of current video-generating AIs to create content that can be scaled up to feature films or series.

Keywords: ai,video,videogames,vr
Enabling Multi Messenger Astronomy with a low-latency LISA data pipeline (EMILIA)

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: Greece
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 169326.72
EU funding (EUR): 169326.72
Participants: 1
Project status: CLOSED

In recent years, following the first detection of Gravitational Waves (GWs), we have witnessed the birth of GW Astronomy. So far, there have been more than 50 events recorded, providing us with invaluable information about the nature of the merging binaries. An exceptional case is the event GW170817, a Neutron Star merger, which was observed with both gravitational and electromagnetic (EM) waves. From a single event alone, by combining both ways of observation, we were able to vastly improve our understanding of such cataclysmic events. In the near future, in particular, in the early 2030s, the ESA Laser Interferometer Space Antenna (LISA) is going to be launched. LISA is a space-borne Gravitational-Wave observatory that, in contrast to the present ground-based detectors, is going to be signal-dominated. The LISA data will give us the unique opportunity to observe the merger of supermassive black hole binary systems, which in combination with the EM observations will enable us to push our knowledge boundaries in astronomy, astrophysics, and cosmology. With EMILIA, we aspire to enable multi-messenger astronomy with LISA, by developing a low-latency data analysis pipeline based on Machine Learning techniques. Our proposed methodology will take into account the source confusion problem of LISA, where monochromatic signals and noise artefacts are going to be classified as such and subtracted from the data. We will then apply a fast semi-analytical algorithm on the residual data, in order to swiftly estimate the sky position and time of coalescence of chirping signals. Such a scheme will enable the synergy of LISA and optical observatories on Earth and in space. A prime example is that of the LISA-Athena missions synergy, which would probe the existence of electromagnetic counterpart of massive black hole mergers and extreme mass ratio inspirals, or phenomena like X-ray flares, disk re-brightening, and relativistic jet formations.

Keywords: lisa gravitational waves multimessenger astronomy data analysis machine learning
mega-thRust Earthquake SystEm Theory (RESET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 2492625.0
EU funding (EUR): 2492625.0
Participants: 1
Project status: SIGNED

Plate tectonics and mantle convection drive motions and slip buildup along plate boundaries. The locations where slip will be released during earthquakes are inferred from satellite observations. However, inversions ignore plate tectonic and mantle mechanics and much of the available data. Recent vertical velocities suggest megathrust earthquakes in subduction zones could rupture twice closer or farther from the coast. That could make the difference between shock and world-class disaster for one third of the world’s population. To set this straight and unlock earthquake sciences, I propose a paradigm shift by imaging, quantifying and understanding processes as part of an earthquake system. This multi-scale plate tectonic concept couples novel and known interactions between subducting and overriding plates, mantle and the megathrust from milli-seconds to millions of years. Imaging this multi-scale, visco-elasto-plastic system poses a major computational challenge that I will tackle by adapting the latest computer science advances in automatic differentiation and high-performance computing on graphical processing units to earthquake sequences. Adjoint-based slip and medium inversions and an Ensemble Kalman Smoother will assimilate all observations into physical system models. Application and validation in five natural laboratories will quantify system processes, which will be integrated into a unified theory quantifying surface velocities with time. This integrative approach allows for the first probabilistic seismic hazard assessment based on first physical principles. RESET’s Earthquake System concept, methods and theory will equip solid Earth scientists with what is needed to explain recent observations and enable efficient, system-based quantification of future seismicity.

Keywords: earthquakes,plate tectonics,geodesy,inverse theory,numerical modelling
Southern European Entrepreneurship Engine (S3E)

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: Portugal,Greece,Ireland,Spain
Call: Expanding Acceleration Ecosystems (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-07-01
End date: 2024-12-31
Duration (months): 30.0
Total project cost (EUR): 1181455.0
EU funding (EUR): 999706.0
Participants: 4
Project status: CLOSED

S3E project ambition is to develop an engine of growth that will contribute to improve the connectedness and efficiency of the Southern European countries’ innovation ecosystems. S3E focus is on the acceleration of deep tech projects / start-ups that, by providing solutions to a more sustainable society, can impact the economic growth in these countries and contribute for the timely achievement of the United Nations Sustainable Development Goals. The focus on Southern European countries relates to the fact that all these countries are Moderate or Emerging innovators, according to European Innovation Scoreboard 2021, and thus, S3E will contribute to close the innovation gap between the targeted countries and more advanced innovation ecosystems. To achieve this we will design and deliver a set of services that: (i) support the uncovering of research projects with market potential, helping them develop into Deep Tech start-ups and supporting them to procure funding for the early stages of development; (ii) help growth stage start-ups to develop investment ready business plans and procure VC funding in the broader VC ecosystem or in national or European funding agencies and (iii) help scaling start-ups connect to larger companies, to gain market traction, throughout Europe. Our strategic objective is supported by the following sub-objectives: (i)uncover entrepreneurial research teams with ground-breaking science and support them to commercialize the technology through the development of a start-up, (iii) increase the connectedness among members of deep-tech start-up ecosystems and their start-ups (regardless of their stage of development) and to the European business ecosystem seeking maximum synergies, (iii) stimulate investments in sectors addressing sustainability issues through increasing the number of cross-border investments and empower accelerators in the targeted countries with the skills and processes that will ensure the future sustainability of the project.

Keywords: innovation,technology commercialization,deep tech,sustainable development goals
SPEcification, Analysis & Re-calibration of High Energy pArticle Data (SPEARHEAD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: Greece,Finland,Germany,France,Italy,Croatia
Call: Scientific exploitation of space data (HORIZON-CL4-2023-SPACE-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 1425471.25
EU funding (EUR): 1425471.25
Participants: 10
Project status: SIGNED

Through a detailed analysis of very high-energy particle observations from the most important heliophysics missions combined with ground based measurements, SPEARHEAD will provide answers to three science questions: 1) How are protons accelerated beyond 100 MeV and electrons beyond 1 MeV in solar eruptions? 2) What are the release times and spectral characteristics of near-relativistic particles from solar eruptions? 3) How do coronal and interplanetary structures affect the transport processes of very high energetic particles? To enable the scientific data analysis SPEARHEAD has three technical objectives: 1) Determining the response functions of a large number of spacecraft instruments to derive high-energy particle fluxes from observations at unprecedented accuracy releasing revised and completely new datasets 2) Performing cross-calibration of datasets measured by science-grade and monitoring instruments to enable the use of monitoring data for scientific analyses 3) Combining high-energy particle and context observations together with modeling of plasma structures for easier in-depth analysis of solar eruptions, quantifying their effect and delivering them to the community. SPEARHEAD combines eight partners possessing the best European resources (in terms of data, models and infrastructure) in very high-energy particle research into a consortium that will deliver answers to the three science questions and consolidated datasets, methodology and open access tools to the community enabling breakthrough science on these open problems. The work is organized efficiently in 8 work packages with carefully picked top European expertise in each of them. SPEARHEAD will also facilitate the future application of its results through dedicated and comprehensive user engagement, direct provision through open access infrastructures as ESA datalabs, while strongly promotes its results and the value-added datasets and tools for the future heliophysics missions.

Keywords: solar energetic particles,sun particle emision,coronal mass ejections,forbush decreases
Quantitative analysis of endosomal escape and intracellular delivery via bioorthogonal luminescent reaction (BioLure)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure -properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Finland
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1488074.0
EU funding (EUR): 1488074.0
Participants: 1
Project status: SIGNED

Intracellular delivery of membrane-impermeable biomacromolecules is essential for a broad spectrum of life sciences, ranging from fundamental biological studies to applied biomedical and pharmaceutical sciences. Despite the great efforts in developing new intracellular delivery nanocarriers in the recent 20 years, simple, high-throughput, and accurate intracellular delivery quantification in live cells is still technically challenging. In BioLure, I propose an unconventional approach to quantify intracellular delivery and endosomal escape by a bioorthogonal luminescent reaction in live cells. Instead of a bulky fluorophore, I will label the molecule of interest (MOI) to be delivered with a single amino acid tag, which causes minimal changes in MOI’s physicochemical properties and functions. The tag will generate luciferase substrate inside live cells upon successful translocation into the cytoplasm by bioorthogonal reactions with chemoselectivity, rapid kinetics, biocompatibility, and high efficiency. The quantification strategy will initially be applied to the intracellular delivery of proteins via physical membrane disruption and validated by complementary methods. It will then be expanded to nanocarrier-mediated endosomal escape with different MOIs, including therapeutic siRNAs. The successful endosomal escape quantification will allow further nanoparticle screening for siRNA delivery. I envision that BioLure will lead to a paradigm shift in the intracellular delivery field, facilitating the transformation from qualitative routine fluorescence imaging to high-throughput real-time quantification. The high sensitivity and low background make it an appealing tool for biologists to study endosomal escape and for material scientists to develop potent next-generation non-viral intracellular nanocarriers. Eventually, it will facilitate the design and screening of endosomal escape carriers and future nanomedicine formulations.

Keywords: bioorthogonal reaction intracellular drug delivery endosomal escape