Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
FLow detection of virUses by graphene Field Effect Transistor microarrays (FLUFET)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Spain,Finland,Portugal,Italy
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-03-01
End date: 2027-08-31
Duration (months): 42.0
Total project cost (EUR): 3200092.25
EU funding (EUR): 3200092.25
Participants: 7
Project status: SIGNED

Infectious zoonotic diseases that jump from animals to humans are on the rise, and the risk of a new pandemic is higher now than ever before. Future health models need to consider the close connection between human and animal health, and new technologies capable of continuously monitor places where the risk of pathogens transmission is higher (shared by animals and humans) are urgently needed to prevent the human, socio-political and economic cost from pandemics. Continuous monitoring and harmonized data collection of animal farms are required by the European Parliament. However, current methods are not suitable for an in-situ, continuous and automatic detection, so today only a limited number of specific pathogens are monitored. FLUFET will be the first automatized sensor able of continuously detecting a broad spectrum of viral targets, and with the unprecedent capability of detecting unknown viruses. This sensor will be based on graphene Field Effect Transistors (gFETs). FLUFET will detect infectious zoonotic threats before they spread to humans and create potential outbreaks, opening the door for a pandemic’s prevention continuum. It will bring the possibility to incorporate the long-distance external factors heavily affecting human health at worldwide level. FLUFET brings interesting opportunities for Health and pandemics experts and managers, Policymakers and regulatory/ standardization bodies, Animal farmers and their associations, Precision livestock farming solution providers, Investors and researchers in the multiple disciplines involved in the consortium. FLUFET requires an interdisciplinary consortium including partners from computational biophysics, graphene technology, nanotechnology, sensing, microfluidics, virology, surface engineering and sensor design and electronics.

Keywords: critical care medicine and emergency medicine,infectious diseases,zoonotic diseases,pandemics prevention continuum,external health factors,animal human interface
Decoding mitochondrial selective autophagy in synaptic homeostasis during ageing (SynaptoMitophagy)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Greece
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
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

Age-dependent accumulation of damaged mitochondria and synaptic loss represent early pathological hallmarks of brain ageing leading to neuronal death. Mitochondria-selective autophagy (mitophagy) is triggered to eliminate defective organelles promoting cellular and organismal survival. Mitophagy declines with age, while its induction extends lifespan and confers neuroprotection across diverse species. Although the pivotal role of mitophagy in neuronal physiology is steadily emerging, its contribution to synaptic homeostasis remains elusive. Building on our previous pioneering studies, SynaptoMitophagy aims to reveal the molecular underpinnings of age-dependent synaptic impairment, focusing on mitochondrial maintenance and turnover. We will combine the nematode Caenorhabditis elegans, which offers a well-defined nervous system, with cutting-edge technologies, such as super resolution imaging, microfluidics and optogenetics, to manipulate spatiotemporally mitochondrial damage and monitor synaptic mitophagy at nanoscale resolution, in vivo. Mammalian neurons will be used to address the functional conservation of synaptic mitophagy components. The objectives are four-fold: 1) Establish mitophagy reporters for in vivo monitoring of mitochondrial fate at synapses during ageing and under neuroprotective conditions 2) Use optogenetic tools to stimulate synapse-restricted mitochondrial damage and, thereby, to detect mitophagy induction and its contribution to neurotransmission. 3) Characterize the synaptic defects and assess behavioral deficits arising from mitophagy impairment. 4) Conduct forward genetic screen for synaptic mitophagy modulators, towards augmenting mitochondrial quality control and resistance to age-related synaptic failure. The cumulative results of this proposal will decode the molecular mechanisms of neuronal mitophagy compartmentalization at synapses during ageing, providing critical insights with broad relevance to human health and quality of life.

Keywords: ageing,autophagy,c elegans,energy metabolism,mitochondria,mitophagy,mitochondrial proteostasis,neurodegeneration,neuronal imaging,synapse
‘ReConnect China’: generating independent knowledge for a resilient future with China for Europe and its citizens. (ReConnect China)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Belgium,Estonia,Finland,Netherlands,Austria,Italy,France,Czechia,Sweden,Spain,Norway,Portugal
Call: Upgrading Independent Knowledge on Contemporary China in Europe (HORIZON-CL2-2021-TRANSFORMATIONS-01, 2021)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 3999867.5
EU funding (EUR): 3999867.25
Participants: 15
Project status: SIGNED

In the modern geopolitical world, the EU and China stand in a constant dynamic relation with each other. The question in which domains EU collaboration with China is desirable, possible, or impossible is therefore the central focus of ReConnect China. To answer this question, this project identifies Science & Technology, Economy & Trade, Domestic Governance, and Foreign Policy as four key fields on which the EU should upgrade its independent knowledge. To that aim, it will develop a database which will provide access to new sources of information. The independent knowledge generated in this project will bring together stakeholders and experts in a Europe-China Knowledge Forum and raise awareness on China among the general public and youth. In this way, leading scientific European expertise and innovative digital technologies are mobilized to generate a deeper, sustainable understanding of contemporary China, and work towards a resilient future with China for the EU and its citizens.

Keywords: science and technology,trade,economics,governance,international relations,culture,society,outreach,networking
Elucidating the cutoff phenomenon (CUTOFF)

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-2023-COG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1403750.0
EU funding (EUR): 1403750.0
Participants: 1
Project status: SIGNED

The cutoff phenomenon is an abrupt transition from out of equilibrium to equilibrium undergone by certain Markov processes in the limit where the size of the state space tends to infinity: instead of decaying gradually over time, their distance to equilibrium remains close to the maximal value for a while and suddenly drops to zero as the time parameter reaches a critical threshold known as the mixing time. Discovered four decades ago in the context of card shuffling, this dynamical phase transition has since then been observed in a variety of situations, from random walks on random graphs to high-temperature spin glasses. It is now believed to be universal among fast-mixing high-dimensional systems. Yet, the current proofs are case-specific and rely on explicit computations which (i) can only be carried out in oversimplified models and (ii) do not bring any conceptual insight as to why such a sharp transition occurs. Our ambition here is to identify the general conditions that trigger the cutoff phenomenon. This is one of the biggest challenges in the quantitative analysis of finite Markov chains. We believe that the key is to harness a new information-theoretic statistics called varentropy, whose relevance was recently uncovered by the PI but whose systematic estimation remains entirely to be developed. Specifically, we propose to elaborate a robust set of analytic and geometric tools to bound varentropy and control its evolution under any Markov semi-group, much like log-Sobolev inequalities do for entropy. From this, we intend to derive sharp and easily verifiable criteria allowing us to predict cutoff without having to compute mixing times. If successful, our approach will not only provide a unified explanation for all known instances of the phenomenon, but also confirm its long-predicted occurrence in a number of models of fundamental importance. Emblematic applications include random walks on expanders, interacting particle systems, and MCMC algorithms.

Keywords: mixing times,markov chains,markov semi groups,discrete functional inequalities,discrete curvature,random walks on groups,random walks on graphs,out of equilibrium dynamics,interacting particle systems,convergence to equilibrium,relative entropy,sharp thresholds
Innocent Deelectronation Chemistry - From the unified redox scale valid in all solvents to innocent deelectronation chemistry in innocent solvents (InnoChem)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Germany
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 2498750.0
EU funding (EUR): 2498750.0
Participants: 1
Project status: SIGNED

The elementary steps underlying the reversible addition and removal of electrons from matter M –Metals, Molecules or Materials– are the fundament to describe redox chemistry, electrocatalysis and electrochemical energy storage. However, the electrochemical potentials of reaction partners are only comparable within one solvent. This is a consequence of the solvent specific standard states. For this reason, it is a Grand Challenge to establish a Unified Redox Scale to compare electrochemical potentials in all media without extra-thermodynamic assumptions. To achieve this, we use an ‘ideal’ Ionic Liquid Salt Bridge setup to measure the Gibbs transfer energies between different solvents. The measured values, corrected for residual liquid junction potential contributions, will be used to directly connect potentials to the aqueous scale. This unifying solvent-independent scale will allow for knowledge-based comparison and selection of reagents for redox reactions in the next sections. Reagents for deelectronation (removal of an e–) at high potential are scarcely available. Hence, we prepare perhalogenated radical cation salts that act as innocent Deelectronators (iD+) with high unified redox potentials. An iD+ converts a given neutral M to the ‘naked’ cation M+. iD+-salts are straightforwardly accessible and room-temperature stable materials. Conveniently, they are in part weighable in air. Combined with suitable non-reactive, weakly coordinating but polar innocent solvents and robust weakly coordinating anions, reactive cation salts are accessible. Such reversible iD+-mediated redox-processes at high potential are appealing for electrosynthesis and -catalysis. To generate, study and apply these systems, we introduce a generally applicable innocent solvent family compatible with the high potential of iD+ and M+ – also with commercially available anions. Suitable iD+/solvent couples for targeted reactions are selected based on their position on the unified redox scale.

Keywords: electrochemistry,synthesis,solution chemistry,redox reagents,carbocation,gas phase cation
Mathematical random graph models for real-world dynamical networks (DynaNet)

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: Mathematics
Countries involved: Germany
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): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: SIGNED

Networks are all around us and hugely affect us: the neurons in our brain, COVID-19 spreading through the population, or computer viruses attacking digital infrastructure via computer networks. Experts estimate that in the US alone, their government faced costs over 13.7 billion dollars due to cyberattacks in 2018. Insight into the structure and vulnerability of computer networks can help strengthen our defences against cyberattacks, reducing future cost and disruption. Analysing mathematical models of real-world networks can provide such insight. The abstract level of mathematics also makes such analyses widely applicable in various settings like hacking of computer networks and viral pandemics. Most networks change over time. They grow, shrink, and gain and lose connections, like neural plasticity, friendships made and lost, and computers breaking down. Many mathematical models, however, do not incorporate such realistic dynamics of evolving real-world networks. They only allow for network growth, not for removal of nodes and connections. This creates a gap between the theoretical knowledge and the practical use thereof. I aim to close this gap by analysing properties of two models for real-world networks that incorporate realistic dynamics: Preferential attachment with vertex and edge removal and first-passage percolation on weight-dependent random connection models. The outcomes of this research can influence policy discussions around protecting digital infrastructure and our response to viral pandemics, tying in with the European Commission’s current priorities regarding digitalisation and health within NextGenerationEU. The research through training provided within this fellowship will provide me with leadership skills and more experience in writing grant proposals and supervising students. Combined with its scientific training, it will help me solidify my potential as an early-career researcher and obtain a tenure-track position at a top European university.

Keywords: random graphs,preferential attachment graphs,spatial random graphs,first passage percolation
Scalable method for production of fatty commodity e-chemicals from recycled CO2 (CO2Chains)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-04-01
End date: 2026-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Aliphatic organic compounds are an essential class of platform chemicals in a wide range of industries. They account for a global market volume exceeding 20 EUR billion per year. However, their production currently relies on fossil-based petrochemicals and deforestation-linked natural oils, contributing significant net greenhouse gas emissions and facing strict EU regulations aimed at phasing out unsustainable production practices. The CO2Chains project proposes a groundbreaking solution by synthesizing a wide variety of industrially relevant chemicals directly from sustainable and lower-cost C1 carbon sources. Unlike conventional multistep processes, this method catalytically converts renewable C1 raw materials into aliphatic organic compounds with high chemo- and regio-selectivity under mild conditions. This innovation eliminates the need to feed costly, preformed precursor compounds, drastically reducing feedstock cost, and aligning with current and upcoming EU directives on the environmental impact of chemical production. The project aims to demonstrate the economic feasibility of CO2Chains. It focuses on upscaling the new manufacturing concept, with a strong emphasis on product benchmarking, a critical factor for customer acceptance and regulatory compliance. Techno-economic and market analyses will culminate in a robust business case for this technology, which transforms waste CO2 into high added-value and global-demand chemical products. This advancement represents a significant step forward in sustainable manufacturing and supports the principles of a circular economy.

Keywords: sustainability catalysis co2 recycling
Doctoral Network for reSilience exPeRts IN future larGe-scale critical infrastructures (SPRING)

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: France,Germany,Norway,Austria,Cyprus,Greece,Japan
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-03-01
End date: 2030-02-28
Duration (months): 48.0
Total project cost (EUR): 4844167.15
EU funding (EUR): 4376316.24
Participants: 19
Project status: SIGNED

The project aims to develop an innovative research and training programme to prepare next generation experts in critical entities resilience design. Fifteen doctoral candidates will collectively engage in an ambitious interdisciplinary research project focusing on aspects related to the resilience design, real-time monitoring and control, anomaly detection and isolation, and incident response, in geographically distributed systems of cyber-physical systems. The PhD topics will investigate open research questions about the use of systems and control theory, formal methods, explainable AI, data-driven approaches, and human-centered design to build safe and resilient societal-scale critical entities. The project will also promote industrial excellence by offering opportunities to the researchers for testing their tools and frameworks in real-world scenarios, provided by the industrial partners. In this line, industrial partners will provide scenarios focusing on water, energy and transportation services, inspired by a real deployment using state-of-the-art and innovative IoT components. The research outcomes that will be validated in the context of these use cases will be reusable with other critical entities in other sectors.

Keywords: resilience,critical infrastructure,cyber physical systems,incident response,diagnosis,safety,correctness analysis,performance analysis,explainable ai,human centered design
Sizes Matter: The Dust Size Distribution during Planet Formation (DUSTSPEC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe Sciences
Panel description: Astro -physics/ -chemistry/ -biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2314680.0
EU funding (EUR): 2314680.0
Participants: 1
Project status: SIGNED

Planets form in discs of gas and dust around young stars. Within these discs, micron-sized dust particles need to clump together to grow 14 orders of magnitude to form Earth-like planets as well as the cores of giant planets. It is a major challenge to understand dust growth from start to finish. State of the art observations provide spectacular glimpses of the dust distribution at a limited range of sizes: ALMA produces images of the thermal emission of mm-sized dust, while instruments such as SPHERE probe the distribution of much smaller particles. However, for a comprehensive theory of planet formation, we need to understand the process from start to finish, from micron-sized to planet-sized. This is therefore the story of the dust size distribution: how many dust specks, pebbles and boulders are present? While there are large size ranges that are out of reach observationally, in this project we will exploit the fact that all dust sizes are coupled to the gas via friction to take a panoptic view of the size distribution for the first time. Since the gas feels friction from all dust sizes, the size distribution is encoded in the gas kinematics, and therefore in every single dust size as well. We will perform hydrodynamical simulations including the full dust size distribution to write the polydisperse story of planet formation. We aim to reconstruct the full size distribution from sparse observations, thereby avoiding the need for expensize multi-wavelength observations. We will compare dust and gas distributions with observations of protoplanetary discs as well as the composition of Solar system bodies. We will use a novel numerical method that allows us to perform these computationally expensive simulations, and employ machine learning to speed up the calculations. This way, we will for the first time be able to build up a complete picture of how dust particles grow into planets and construct a comprehensive model of planet formation.