Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Characterization of drought tolerance related mechanistic traits in sorghum related to water transport (SorghEau)

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 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: TERMINATED

Sorghum is a drought tolerant cereal crop, grown extensively by smallholder farmers in West Africa. It is expected to become increasingly important to crop production in the Sahel, and grow as part of Europe’s grain portfolio as incidences of drought become more frequent. Identifying drought tolerant varieties and what traits confer drought tolerance in sorghum is of great importance to food security both in the Sahel and across the world. The SorghEau project will investigate drought tolerance in sorghum, to uncover the mechanistic basis for this trait, the role of adaptive plasticity in the drought response, and the genetic control of traits relating to drought tolerance. The main focus of this will be investigating vascular anatomy, particularly the metaxylem and its effect on physiology and water use. Using diversity populations in West Africa and Europe will capture data on the vast majority of global genetic diversity, as well as highly agronomically relevant elite lines. This will facilitate gene discovery, and by investigating a highly drought tolerant crop with a known diversity for this feature, we expect significant findings. I will use this data to identify a vascular trait with a role in drought tolerance, and select lines of interest and parental candidates for mapping populations contrasting in this trait. I will investigate plasticity through controlled drought experiments to characterize the role of vascular traits in the drought response. I will then use this data to identify a candidate trait, and conduct genetic analysis to identify associated QTLs, and use gene expression analysis to uncover the molecular mechanism for regulation of this trait. This work will develop my skills in conducting field trials, anatomical analysis, and plant physiological phenotyping, and I will learn new skills in synchrotron scanning, transpiration phenotyping and lysimetry, gene expression and genetic analysis.

Keywords: crop drought tolerance,plant root biology
HIGH performing uLtrA-durable membraNe electroDe assEmblies for tRucks (HIGHLANDER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Research and Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: France,Germany,Czechia,United Kingdom,Italy
Call: Innovative and optimised MEA components towards next generation of improved PEMFC stacks for heavy duty vehicles (HORIZON-JTI-CLEANH2-2022-1, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 3331247.5
EU funding (EUR): 3331247.5
Participants: 13
Project status: SIGNED

The objective of HIGHLANDER is to develop membrane electrode assemblies (MEAs) for Heavy-Duty Vehicles (HDV) with disruptive, novel components, targeting stack cost and size, durability, and fuel efficiency. The project will design, fabricate, and validate the HDV MEAs at cell and short stack level against heavy-duty relevant accelerated stress test and load profile test protocols. The unique approach of HIGHLANDER is to develop core fuel cell components in tandem, ensuring their greatest compatibility and lowest interface resistance: ionomer and reinforcement, catalyst and catalyst support, catalyst layer composition and property gradient in tune with the bipolar plate flow-field geometry. Materials screening efforts will be supported by the development and use of improved predictive degradation models bridging scales from reaction sites to cell level. Model parameterisation is implemented using experimental characterisation data at materials, component, and cell level. HIGHLANDER brings together a European supply chain of fuel cell materials and components producers and an OEM stack developer that makes this approach possible. HIGHLANDER aims to bring about a significant reduction in stack cost and fuel consumption through improvement of catalyst coated membrane performance and development of a new, lower cost single-layer gas diffusion layer. It will aim to achieve the 1.2 W/cm² at 0.65 V performance target at 0.3 g Pt/kW or below, meeting a lifetime target of 20,000 h. Sustainability considerations include benchmarking of fluorine-free membranes for HDV MEA application and re-use of platinum in the context of a circular economy.

Keywords: fuel cell core components,membrane electrode assembly,durability,performance and lifetime prediction
MUTI-MISSION EFFICIENT AND SECURE HIGH CAPACITY END-TO-END EO (MESEO)

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: Innovation actions
Countries involved: Spain,France,Ireland,Italy,Austria,Poland,Germany
Call: End-to-end Earth observation systems and associated services (HORIZON-CL4-2023-SPACE-01, 2023)
Start date: 2023-12-01
End date: 2026-11-30
Duration (months): 36.0
Total project cost (EUR): 3206506.0
EU funding (EUR): 2296041.7
Participants: 9
Project status: SIGNED

MESEO aims to design, prototype and demonstrate an open, flexible and scalable multi-mission EO End-to-End system for massive processing. It will improve performance bottlenecks either on board or on ground while ensuring Space data sovereignty. The main goal of the proposed approach is to improve quality of service and timeline reactivity by improving the End-to-End EO chain at different levels and processing edges while reducing communication bandwidth and incorporating new technology optimised in power consumption and processing capabilities. MESEO will promote a collaborative digital ecosystem enabled by an EO Coordinator Centre together with distributed and heterogeneous Processing Functions. Those Functions will be exported through harmonized interfaces which will ensure the data sovereignty. EO ecosystem players will register their products/services as exported Functions into the ecosystem. The EO Coordinator Centre will control which registered Processing Function to activate in a transparent manner for optimal End-to-End performance, from either timing or quality point of view, for a given End-User request. MESEO specifically addressed both upstream and downstream parts of the EO data processing value chain in a transparent manner. Performance enhancements analysis will tackle major bottlenecks on each link of the EO data processing running either on board or on ground. MESEO proposed innovations will address such bottlenecks. Green Deal related pilot applications (methane monitoring and crops classification) will serve to demonstrate the performance enhancements due to the proposed innovations.

Keywords: on board and ground processing functions,multi mission heterogeneous system,eo coordination center,sovereign cloud,function as a service,performance enhancement,green deal methane use case
Urban Development Explorations using Natural Experiments (UDENE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: EU Space
Destination: EU Space
Action type: Research and Innovation actions
Countries involved: Italy,Tunisia,Türkiye,France,Serbia,Austria
Call: Designing space-based downstream applications with international partners (HORIZON-EUSPA-2022-SPACE, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 1056912.5
EU funding (EUR): 1056912.5
Participants: 9
Project status: SIGNED

Urbanization is increasing globally, with almost all cities growing in population This growth is more prominent in Europe and North Africa, where 70% and 78% of people, respectively, live in cities. Climate change, inequalities and conflict drive huge populations to cities, in search of a better life. However, urban development is not generally guided by evidence-based informed decisions, especially in emerging countries. As a result, liveability in cities worsen. The UDENE Project aims to use large amounts of Earth Observation (EO) data from Copernicus satellites and local sources to support evidence-based decision making for urban development, especially in international partner countries. To support the UN Sustainable Development Goal 11 of making cities safe, resilient, and sustainable, the project will essentially create a virtual laboratory for urban planners and visionaries to test their development ideas. Multi-dimensional models of urban areas across time and across countries will be used to support urban planners in exploring natural occurrences of similar development ideas, concepts, or projects in similar urban areas (natural experiments). The wealth of EO data in fast accessible Data Cube format provides a great search space for exploring natural experiments, by exploiting greater value-add of causal analysis. Project outcomes will be embodied by an exploration tool for natural experiments and a match-making tool which will leverage the exploration tool by linking the existing EO product, process, or service offerings. Project activities include cooperations for data acquisition and partnership building that will be facilitated by Open (FSTP) Calls. We are confident that our evidence-based approach for urban development as powered by vast EO data will complement the existing EO product or service offers and expand the European excellence in EO technology utilization with urban development applications that have high economic and societal impact.

Keywords: data cubes for fast access to data,smart cities,evidence based decision making,data exchange,natural experiments
Harvesting Light for Life: Green Proteins as the Interface between Sun Energy and Biosphere (GrInSun)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Italy
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): 2418313.0
EU funding (EUR): 2418313.0
Participants: 1
Project status: SIGNED

Life on earth feeds on photons. Photosynthesis in green algae and land plants has been the world’s most successful biological process and has conquered the most diverse environments. Photosynthetic reaction centres are extremely well conserved, an unlikely basis for the ability to adapt. Antenna systems are widely diversified and yet only the Light-Harvesting Complexes (LHCs) have been selected for growth in the land environment. The distinctive property of GreenCut organisms lies in their light-harvesting mechanisms, which ensure efficient photon harvesting and photoprotection. Despite being the most abundant membrane proteins on earth, binding most of chlorophyll that makes the planet green, the secrets of LHCs are still concealed because we lack experimental systems that make possible the reverse and forward genetic analysis of LHCII proteins. Indeed, the clustered-genes encoding LHCII has resisted targeting by classic genetics. I propose an in-depth analysis of LHCII proteins in algae and plants by deploying a new technology that we have developed with our experience in studying LHCs. Firstly, we deleted all genes-encoding LHCII in model species of both land plants and green algae by genome editing and complemented plant ΔLHCII lines with site-directed, mutated sequences, demonstrating that reverse genetics can reveal the domains involved in the regulation of photon harvesting, photoprotection and growth. Secondly, forward genetics, on the other hand, will enable the identification of protein determinants by selecting specific phenotypes on complementing mixotrophic algal ΔLHCII lines with randomly mutagenized sequences. This will lead to a map of structures and functions that identifies the specific biological role of each component of the antenna system in vivo and in vitro. The project’s outcome will be the ability to design in a rational way the light-harvesting systems of plants and algae in the context of sustainable agriculture and bio-industry.

Keywords: photosynthesis,photoprotection,light harvesting,light energy,global change
Insubordinate Finance? The postcolonial politics of financial centers in the Global South (InsubordinateFINANCE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2025-11-01
End date: 2030-10-31
Duration (months): 60.0
Total project cost (EUR): 1896000.0
EU funding (EUR): 1896000.0
Participants: 1
Project status: SIGNED

Cities in the global North have served for centuries as the command-and-control centers of global finance. They have long determined the unequal access to credit and often harsh conditions of debt repayment for people, businesses, and states across the world. This control has maintained colonial power inequalities that many scholars now characterize as 'international financial subordination'. Yet in recent years, an increasing number of officials, citizens, and professionals across the Global South have mounted a surprising opposition to the Northern subordination of Southern finance. Since the turn of the new millennium, financial centers located in cities across the Global South have expanded dramatically in number, complexity, and size. These insubordinate financial centers claim to offer an alternative to the exclusion, extraction, and domination that has long characterized their (neo)colonial financial relations with the North. At the heart of this alternative is a new generation of Southern financial professionals seeking to create new networks, innovate new devices, and envision new futures for postcolonial economies. To take stock of these novel trends, InsubordinateFINANCE will examine the politics of financial sector deepening in 11 case study cities across Latin America, Africa and Southeast Asia. It will develop an innovative ‘provincializing finance approach’ that combines the insights of postcolonial theory, ethnography, and science and technology studies to answer a field-defining research question: Are Southern financial centers vectors of global financial subordination or do they offer independence from Northern financial dominance? Given the potential for a shift towards such an insubordinate finance to reconfigure global power relations and inequalities, it is important to asses where, how, to what extent, and with what effects this shift is taking place. This project's aim is simple yet ambitious: to upend how we think about global finance.

Keywords: anthropology of finance,economic politics,economic geography,science and technology studies,postcolonial theory,global financial networks,cities in the world system
Mapping Internet Routes for Geopolitics (DATAROUTES)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 2499587.0
EU funding (EUR): 2499587.0
Participants: 1
Project status: SIGNED

The Internet has been able to grow and develop very quickly in most countries because of its highly decentralized nature. Its resilience is based on a multiplicity of different paths that allow data to always bypass a blockage or a partial destruction of the network through alternative routes. This model is today called into question by a combination of dynamics. First, we observe a dynamic of fragmentation along national borders, at the initiative of some states who, in the name of national security, seek to restore control over the borders of what they see as their national cyberspace. Second, at a higher level of abstraction, we observe another dynamic, this time guided by market forces: the concentration of data traffic around a few major players in data routing and a few large platforms. Largely invisible, this concentration also leads to a form of fragmentation along commercial lines. These evolutions raise important issues in terms of cyber stability, resilience, free flow of data and human rights, that are largely overlooked short of scientific knowledge about the geopolitics of Internet data routes. DATAROUTES aims to carry out a cartography of Internet data routes in order to understand how the routing strategies of state and non-state actors shape cyberspace and to analyze, as a domain of application, the important security and policy issues it raises for the European Union. The goals of this project are to measure and map Internet routes using open source data, thanks to DATAROUTES’ Border Gateway Protocol observatory; investigate through field work the strategic goals of state and non-state actors uncovered by the cartography; and analyze the broader policy issues they raise for the European Union in the context of the implementation of the 2020 Cybersecurity Strategy for a Digital Decade. DATROUTES will provide a platform for open access to its data and methodologies in order to encourage a new stream of research on the geopolitics of data routing.

Keywords: geopolitics,border gateway protocol,internet measurements,data routing,cyberspace,cartography
Comprehensive and personalized assessment of acute coronary syndrome by multiomic approach and artificial intelligence strategy (CardioSCOPE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy,Serbia,Spain,Greece,Romania,United Kingdom
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1650085.71
EU funding (EUR): 1518000.0
Participants: 12
Project status: SIGNED

The CardioSCOPE proposal aims to bring together experts from Companies and Αcademia throughout Europe to exchange and expand their expertise on interdisciplinary approaches, to enhance the Research and Innovation capacity of Europe in the field of cardiovascular diseases. Connecting and expanding Europe-wide biobanks and expertise through a comprehensive multiomics approach for the discovery of novel pathological players, CardioSCOPE will give deeper insights into acute coronary syndrome (ACS) development and progression towards major adverse cardiovascular events (MACE). We will use well-defined prospective cohorts to discover and validate novel genomic, transcriptomic, proteomic and metabolomic signatures specific for ACS and MACE, to be combined in multimarker models by machine learning/artificial intelligence algorithms, enabling more accurate ACS diagnosis and MACE prediction. This excellent research network aims at building scientists competent for the upcoming “omics” era by training and knowledge transfer. Specific research skills not available at home institutions will be acquired through individually designed secondment plans, training schools, webinars and short-term courses. Intersectoral activities will improve entrepreneurial skills of consortium staff and facilitate transformation of scientific breakthroughs into commercially available products/services. CardioSCOPE includes experts with a wide clinical and research experience, access to patients with ACS and the expertise required for achieving set goals. World-class institutions gathered within this consortium (from 6 countries: 7 academic, 4 companies, 1 hospital) offer specific expertise, state-of-the-art equipment and adequate human resources to address these challenges. In summary, the results of this project will transcend our own scientific interests to enable a transfer of knowledge into a multidisciplinary environment and achieving significant impact on ACS management and policies in Europe.

Keywords: multiomics,multimarker models,acute coronary syndrome,artificial intelligence,algorithm
Deep Learning the Dark Universe with Gravitational Waves (Deledda)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2026-08-31
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 2
Project status: SIGNED

Gravitational wave astronomy has opened an extraordinary new window to test the theory of gravity in the genuinely strong, highly dynamical and relativistic regime. The LIGO-Virgo Collaboration has now detected over 50 mergers of compact binary systems and this number will considerably increase in the coming years. There are currently two main issues related to the possibility of testing gravity with gravitational wave observations: the weakness of parametric tests of General Relativity to go beyond null tests and the very long inference time required by standard samplers which can take up to months. Specific waveform models and new techniques to speed up statistical inference are therefore crucial to maximise the scientific return of already available and upcoming data. In this project, we will construct an analytical model of the gravitational waves emitted during the late inspiral and merger of compact objects in theories of gravity that are cosmologically motivated, namely that have a chance to explain Dark Energy. We will then leverage deep learning techniques to promptly produce the posterior for the corresponding parameters given the detector data. To this aim, we will build up on two codes developed by one of the supervisors - ROMAN and PERCIVAL - which pioneered the use of machine learning in gravitational wave science. We will then apply this new pipeline to the real LIGO-Virgo data and perform Bayesian inference of Dark Energy parameters. All together this project will provide a new and complete framework to test the dark Universe with gravitational wave observations, exploiting state-of-the-art deep learning techniques.

Keywords: gravitational waves,tests of general relativity,data analysis,machine learning,dark energy,gravitational wave sources,gravitational wave detection,astrophysical studies of gravity