Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
METEOROLOGICAL ASSIMILATION FROM GALILEO AND DRONES FOR AGRICULTURE (MAGDA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: EU Space
Destination: EU Space
Action type: Innovation actions
Countries involved: Italy,Romania,Spain,Austria,France,Switzerland,Netherlands
Call: EGNSS and Copernicus applications fostering the European Green deal (HORIZON-EUSPA-2021-SPACE, 2021)
Start date: 2022-11-01
End date: 2025-04-30
Duration (months): 30.0
Total project cost (EUR): 2059062.5
EU funding (EUR): 1705231.0
Participants: 8
Project status: CLOSED

The MAGDA project aims at developing a toolchain for atmosphere monitoring, weather forecasting, and severe weather/irrigation/crop monitoring advisory, with GNSS (including Galileo) at its core, to provide useful information to agricultural operators. MAGDA will exploit the untapped potential of assimilating GNSS-derived, drone-derived, Copernicus EO-derived datasets, in situ weather sensors into very high-resolution, short-range (1-2 days ahead) and very short-range (less than 1 day ahead) numerical weather forecasts to provide improved prediction of severe weather events (rainfall, snow, hail, wind, heat and cold waves) as well as of weather-driven agriculture pests and diseases to the benefit of agriculture operations, also in light of ongoing effects of climate change. These targets will be achieved by setting up a database of variables of interest, and an assimilation system to feed a numerical weather prediction model, which in turn drives a hydrological model for irrigation performance and water accounting to assess water use and related productivity. In addition to already existing observational networks, new dedicated networks of sensors, including GNSS and drones, to monitor atmospheric variables at high spatial resolution will be deployed in the vicinity of large farms and cultivated areas, to provide data with high spatial and temporal resolutions for the assimilation into the weather model. The delivery of the augmented forecasts and irrigation advisories to farmers will be enabled by a dedicated dashboard and APIs to already existing Farm Management Systems. The tools developed within MAGDA will represent the technical and methodological components based on which services to support agricultural operations will be defined.

Keywords: gnss,galileo,sentinel,numerical weather models,hydrological models,agriculture
Minor ROot and Tuber crops fostering AgrobiodiversiTy and Ecosystem Services (ROTATES)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Research and Innovation actions
Countries involved: France,Cyprus,Belgium,Portugal,Italy,United Kingdom,Slovenia,Greece,Congo,Spain
Call: Promoting minor crops in farming systems (HORIZON-CL6-2024-BIODIV-02, 2024)
Start date: 2025-07-01
End date: 2029-06-30
Duration (months): 48.0
Total project cost (EUR): 5250526.5
EU funding (EUR): 4999763.0
Participants: 18
Project status: SIGNED

ROTATES aims to sustainably enhance agrobiodiversity and ecosystem services by introducing and promoting minor starchy root and tuber crops (MRT) sweet potato, yams, cassava and taro, considered minor crops and currently underutilized in Europe, in both conventional and organic farming systems. These crops have substantial growth potential in temperate regions to meet the increasing demand in Europe, which has tripled over the last decade. The inclusion of MRT crops will complement the cohort of minor crops introduced into European agrosystems by the previously funded projects. Employing a multidisciplinary and multi-actor approach, ROTATES will (i) identify levers for MRT crop adoption along the value chain, through a comprehensive diagnosis of constraints and opportunities for MRT crop adoption, agronomic practices to inform farm typology analysis, genetic material assessment, and disease pressure evaluation, (ii) deploy MRT crops by developing agroecological management practices, including crop rotation and intercropping, to leverage the benefits on provisioning and regulating ecosystem services, establishing breeding hubs to deliver varieties adapted to the agroecological systems, and creating a clean seed system relying on a policy framework for phytosanitary certification to support sustainable production and material exchange, (iii) unlock the value of MRT crops by establishing sustainable and innovative healthy and traditional food and feed transformation processes, integrating livestock to recycle unused plant by-products and provide crop amendments - gluten-low-to-free pasta, bread, and plant-based ice cream and feed for ruminants and monogastrics- (iv) promote adoption along the value chain, targeting primarily farmers and growers, through marketing avenues and capacity-building efforts. ROTATES will contribute to improving producers’ income, enhancing product value, increasing agrobiodiversity, and reducing Europe's import dependence.

Keywords: starchy root and tubers,agroecological practices,value chain,healthy food,ecosystem services,up cycling crop wastes,livestock feed,multi actor approach,genetic innovation,clean seeds
Neurotropic flavivirus dsRNA-protein interface in humans, mosquitoes and ticks (FlaviRNA-HMT)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 208410.88
EU funding (EUR): 208410.88
Participants: 1
Project status: SIGNED

Neurotropic flaviviruses Zika virus (ZIKV) and tick-borne encephalitis (TBEV) represent major emerging arthropod-borne viruses transmitted by two different vectors, either mosquitoes or ticks. In humans, they use cells of the immune system to spread throughout the organism and can lead to severe encephalitis. During their replication, viruses produce double-stranded RNA (dsRNA) structures which is not only a necessary by-product but also performs key regulatory functions and acts as a pathogen-associated molecular pattern recognized by the host innate immune response. However, viral adaptation to such divergent host cells and organisms and their immune response, especially in arthropods, is poorly understood. In this project, I propose to investigate and compare how neurotropic flaviviruses interact through their RNA in humans and arthropods. First, I will identify host factors involved in protein-dsRNA complexes using anti-dsRNA antibodies in a high-throughput proteomic approach from infected live arthropods and human models for immune and neuronal cells and compare the protein networks between each host. Second, I will select the most significant and relevant hits for a functional screening, further define the function of the best candidates that are either pro-viral or anti-viral, confirm their importance in most relevant models and characterize the molecular functions of the best candidates. Finally, I will identify the dsRNA structures and RNA species interacting with the best candidates, and determine the evolutionary pressure imposed on the viral genomes in each host. Altogether, this project will contribute to unravel the adaptation of neurotropic flaviviruses to their hosts throughout their cycles, both from a mechanistic and evolutionary perspective, help understand the role of the RNA in crossing species barriers and lay the grounds for new therapeutics and disease control strategies against viruses that represent an ever-increasing threat in Europe.

Keywords: encephalitis,neurotropic,flavivirus,arthropods,vector,ticks,mosquitoes,immune response,neurons,pathogen associated molecular patterns,rna sensing,rna immunity,rna interactomics
Hybrid Spintronic Synapses for Neuromorphic Computing (SPIN-ION)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Challenges
Action type: EIC actions
Countries involved: France
Call: EIC Transition Challenge: Green digital devices for the future (HORIZON-EIC-2022-TRANSITION-01, 2022)
Start date: 2023-05-01
End date: 2025-10-31
Duration (months): 30.0
Total project cost (EUR): 2499998.75
EU funding (EUR): 2499998.75
Participants: 1
Project status: SIGNED

At Spin-Ion Technologies we develop a new manufacturing solution based on ion beam processes to precisely engineer magnetic materials at the atomic scale. This result enables the development of new neuromorphic chips based on low power synapses composed of magnetic devices that can overcome both catastrophic forgetting and reduce device variability, hence greatly advancing the development of highly efficient, robust hardware amenable to neural applications on the edge. Our transition project involves both hardware & software developments to demonstrate implementation of an Artificial Neural Network on a magnetic chip, which will bridge computational neuroscience and deep learning while generating strong impact for future embedded and neuromorphic systems. This project also covers all necessary steps for full commercial readiness, including problem/solution validation, market research, competition analysis, establishing IP strategy, ensuring regulatory compliance, stakeholder engagements, dissemination activities, construction of a detailed business plan and securing future funding.

Keywords: neuromorphic,artificial synapse,artificial neural network,binarised neural network,spintronics,metaplasticity
Quantum Technologies for Axion Dark Matter Search (DarkQuantum)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Spain,France,Finland,Germany
Call: ERC Synergy Grants (ERC-2023-SyG, 2023)
Start date: 2024-10-01
End date: 2030-09-30
Duration (months): 72.0
Total project cost (EUR): 12975660.0
EU funding (EUR): 12975660.0
Participants: 8
Project status: SIGNED

The unresolved nature of the Dark Matter permeating our Universe is one of the most pressing questions of modern science. It is connected to our very understanding of reality at the most fundamental level. The axion DM paradigm has recently emerged as one of the most compelling hypothesis to solve this question: Dark Matter would be composed by very light and very feebly interacting axions. This paradigm is strongly motivated by theory, and predicts a clear signal in terrestrial experiments called axion haloscopes. Pioneering experiments have reached enough sensitivity to test some realistic axion models in limited mass ranges, so far without a positive signal. However, there is still a large viable axion parameter space to be explored. The methods used to date will be inefficient to perform such a challenging task. Here our DarkQuantum consortium proposes a new way of addressing this gap using quantum sensing technologies and hybrid quantum systems. Specifically, we will combine quantum technologies and well established particle physics environments at CERN or DESY devoted to the detection of axions in the galactic halo. Building quantum-enhanced setups in particle physics environments is extremely challenging and needs expertise from very different fields of physics. Our consortium brings together experts from quantum circuits, very-low temperature cryogenics, quantum measurements and particle physics, to build two quantum-enhanced haloscopes with unprecedented sensitivity and mass scanning range. The novel sensing strategies of the DarkQuantum project could lead to the experimental detection of axions for the first time. Such a fundamental discovery in connection with the long-standing DM problem would lead to a breakthrough in Physics

Keywords: axions dark matter axion haloscope axion like particle photon counter qubit transmon high temperature superconductor low background techniques underground physics machine learning
Graphene, MXene and ionic liquid-based sustainable supercapacitor (GREENCAP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Research and Innovation actions
Countries involved: Italy,France,Germany,Estonia,United Kingdom,Ireland,Netherlands,Ukraine
Call: Novel materials for supercapacitor energy storage (RIA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5425360.0
EU funding (EUR): 5425360.0
Participants: 12
Project status: SIGNED

A paradigm shift in energy storage technology is needed to support the transition towards the climate-neutrality set by the EU’s international commitments under the Paris Agreement, while ensuring the targets of EU’s Action Plan on Critical Raw Materials (CRMs). In this context, GREENCAP joins a multi-disciplinary consortium with 5 Universities, 1 R&D Institute, 6 companies, located in 7 European countries (including Italy, Germany, France, Ireland, United Kingdom, Estonia, and Netherlands) and 1 non-EU country (Ukraine), to unlock the full potential of supercapacitors (SCs) as electrochemical energy storage systems. We will develop a CRM-free technology exhibiting a battery-like energy density (>20 Wh/kg, >16 Wh/L), together with the distinctive superior power densities and high cycle life of traditional electrochemical double layer capacitors. GREENCAP will exploit layered 2D materials, including graphene and MXenes as electrode materials, and ionic liquids (ILs) as high-voltage electrolyte. The main objectives of GREENCAP are: i) to syntheses/functionalize graphene and MXenes via facile, scalable and sustainable (CRM-free) methodologies, assuring both high surface area and ion accessibility, introducing Faradaic charge storage mechanisms, and improving their quantum capacitance; ii) to produce novel non-/low-toxic and non-/low-flammable IL-based electrolyte with high conductivities, and a high electrochemical/thermal stability, ensuring SC operation at voltage > 3.5 V within -50°C to +100 °C temperature range, thus eliminating the need for sophisticated cooling systems; iii) to validate the novel SC technology at industrial scale by fabricating cylindrical cells at a TRL 6 while ensuring the creation/existence of the complete value chain from material to cell producers; iv) to produce a novel supercapacitor management system, enabling the full potential of the GREECAP’s SCs in high-end applications, and ensuring their integration into the circular economy.

Keywords: supercapacitors,critical raw materials,graphene,mxenes,ionic liquids,functionalization,interfaces
Gesius’ Commentaries on Galen: Recovering lost works through a mixed-method approach (GESIUS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-04-01
End date: 2031-03-31
Duration (months): 60.0
Total project cost (EUR): 2499869.0
EU funding (EUR): 2499869.0
Participants: 1
Project status: SIGNED

Palimpsests have yielded spectacular new discoveries in the area of ancient texts: hitherto lost works are recovered and can be read again. We recently identified a set of five palimpsests which will radically change the way in which we view the history of medicine in late antique Alexandria and the transmission of medical knowledge from Greek via Syriac into Arabic. These palimpsests contain Commentaries by Gesius (ca. 450–530s) in Syriac translation on two works by the famous Greek physician Galen (ca. 129–216), namely Mixtures and Natural Faculties. Gesius emerged as the most prominent of the iatrosophists or professors of medicine in late antique Alexandria, a period that had a tremendous impact on the subsequent tradition, both east and west. Mixtures and Natural Faculties belong to the so-called Sixteen Books of Galen, which formed part of the core curriculum in the amphitheatres of the iatrosophists. Moreover, the palimpsests also contain the Syriac version of Galen’s texts. By using a mixed method approach, we propose to make the erased texts readable again, and then edit, translate and study them. Combining multispectral image capture and analysis with machine learning techniques, we will be able to transcribe these lost texts in full and, in the process, reconstruct the original manuscript. We shall study Gesius’ works in the context of medicine in late antique Alexandria and place it in a tradition where commentaries, abrigments, branch diagrams and encyclopaedias were all employed to impart medical knowledge. Finally, these Syriac translations offer us an opportunity to study how the Sixteen Books of Galen were transmitted into Syriac, and what role they played in Graeco-Arabic translations. We will thus study Gesius’ role as the chief medical authority in Alexandria and his subsequent influence, in order to judge his place in history on the basis of his own writings for the very first time.

Keywords: history of medicine,late antique alexandria,palimpsest studies,syriac,translation studies,gesius,galen,graeco arabic studies
A Unified Description of Flat Space Holography (UniFlatHolo)

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: France,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 276681.6
EU funding (EUR): 276681.6
Participants: 2
Project status: SIGNED

One of the most challenging open questions in theoretical physics consists in describing quantum mechanics and gravity in a unified framework. Important progress has been made towards this goal with the development of the holographic principle, whose most concrete realization is the AdS/CFT correspondence. Although AdS/CFT is the duality that has attracted the most attention, the holographic principle is believed to be much more general and to hold for other kinds of asymptotics, including for the more realistic model of four-dimensional (4d) asymptotically flat spacetime. In this regard, two proposals of flat space holography have emerged. The first consists of a 4d/3d duality, where 4d gravity is dual to a 3d Carrollian CFT living on the null boundary of the spacetime. The second is a 4d/2d duality, where 4d gravity is dual to a 2d conformal field theory, called celestial CFT, living on the celestial sphere. The aim of this research project is to make major steps towards a holographic description of quantum gravity in asymptotically flat spacetime. To do so, we plan to provide a unified description of flat space holography by exploring the relation between the two above proposals and connecting them with the AdS/CFT correspondence through a flat limit process. Four main lines of research will be investigated: (i) the relation between 3d Carrollian CFT and 2d celestial CFT, (ii) the representations of the BMS group acting in the dual theories, (iii) the flat limit of the AdS/CFT correspondence, and (iv) the construction of explicit candidates for the dual theories. This project involves a transfer of knowledge between the host institutions and the researcher, who will receive training in new advanced techniques in the field. This unique exchange of skills and the collaborations that will emerge in this program are expected to generate major advances in the quest for flat space holography.

Keywords: holography,asymptotic symmetry,gravity,general relativity,carroll geometry,conformal field theory,bms group,asymptotically flat spacetime
Artificial Scientific Discovery of advanced Quantum Hardware with high-performance Simulators (ArtDisQ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1499221.25
EU funding (EUR): 1499221.0
Participants: 2
Project status: SIGNED

The experimental capabilities to generate, control, and measure complex quantum systems have dramatically improved over the last few years. With ingenious proposals for practical applications, a powerful new paradigm of technology emerges that exploits quantum superposition and quantum entanglement. As these systems get more advanced, designing new quantum experiments and hardware becomes ever more intricate for human scientists. To exploit the full potential of quantum physics, researchers have started to involve artificial intelligence in the automated design of quantum experiments. Unfortunately, even the currently most powerful methodologies have severe limitations and therefore cannot cope with the enormous potential that quantum mechanics promises us. For that reason, in ARTDISQ, I propose to build high-performance physical simulators which are at the heart of all AI-driven discovery and design efforts. The key idea is to use a framework originally developed for the efficient training and execution of large neural networks, called JAX. JAX is powerful enough to encode not only neural networks but a wide range of computer algorithms. It allows for modern high-performance computational techniques such as just-in-time compilation, auto-differentiation and direct access to the GPU. In ARTDISQ I will exploit this dramatic acceleration, which will open previously unchartered applications, including AI-driven (1) design of highly sensitive and robust quantum-enhanced gravitational wave detectors (2) design of new quantum techniques for imaging systems, with a focus on optical telescopes (3) hardware-software co-design for quantum hardware with the potential of discovering highly unorthodox and exotic solutions with superior behaviour. As such, ARTDISQ aims to develop a revolutionary way to augment human researchers' ingenuity and creativity to accelerate scientific discoveries.

Keywords: artificial intelligence,automated design,quantum enhanced telescopes,gravitational wave detectors