Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Automated Inspection Robots for Surface, Aerial and Underwater Substructures (AEROSUB)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Portugal,France,Ireland,United Kingdom,Spain,Italy
Call: Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]] (HORIZON-CL4-2024-DIGITAL-EMERGING-01, 2024)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 12050041.25
EU funding (EUR): 9998955.13
Participants: 15
Project status: SIGNED

AEROSUB will develop world-class robotic solutions for different wind energy operating scenarios – fixed and floating offshore wind farms, promoting innovations for operation and maintenance (O&M) procedures to foster the competitiveness and sustainability of renewable energy production in challenging environments. AEROSUB will demonstrate the added value of robotics deeply integrated with advanced AI and data analytics technologies and their potential of reducing the eCO2 emissions of O&M operations by up to 15M tonnes, enabling cost savings by 2,400€/MW/year and lowering the levelized cost of electricity (LCOE) of offshore wind energy by 2.5%. By deploying an orchestration of multiple robotic platforms, including Uncrewed Fleet Carrier (UFC), Unmanned Surface Vehicle (USV), Remotely Operated Vehicles (ROVs), long endurance aerial drones (UAS), and Unmanned Aerial Vehicles (UAVs), and optimizing human-robot and robot-robot collaboration, AEROSUB aims to reduce the on-site humans’ exposure to dangerous and strenuous environments. Large scale pilots related to monitoring, inspection, cleaning, and maintenance of structures below and above water line will be performed autonomously by AEROSUB solutions, which requires introducing AI-based features for enhancing perception and on-platform decision-making capabilities, improving collaborative navigation, manipulation, and mission planning. AEROSUB is proposing the first fully unmanned robotic solution for both aerial and underwater inspection and intervention, demonstrated in real offshore wind farm, to show an increased O&M operational efficiency of 40%, reducing of the associated downtime by 60% as well as the risk exposure of workers by 90%. Digital twin (DT) and AI solutions for automated information analysis of operational data, collected by remote robotic platforms in >30 operations, will increase the reactivity, responsiveness and intelligibility of the O&M operations: reducing the human burden by 80% to monitor

Keywords: offshore multi domain robotics navigation human machine interaction digital twinning upskilling
Limits of Structural Tractability (BUKA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Poland
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1935074.0
EU funding (EUR): 1935074.0
Participants: 1
Project status: SIGNED

The combination of methods from logic and graph theory has been extremely successful in the design of algorithms, in complexity theory, and other areas of theoretical computer science. A success story exemplifying the power of this approach is the recent development in the algorithmic structure theory of sparse graphs. In this line of research, structural results stemming from Robertson and Seymour’s graph minor theory, and the more recent sparsity theory of Nešetřil and Ossona de Mendez, were com- bined with logical methods in order to obtain a systematic understanding of tractability. An example result in this area states that every graph property definable in first order logic can be decided in linear time, for all planar graphs. Culminating a long line of research, Grohe, Kreutzer, and Siebertz gener- alized this result to all nowhere dense graph classes. Those are very general classes of sparse graphs, which include the class of planar graphs, classes of bounded maximum degree, or classes excluding a fixed minor. Moreover, this result completely delimits the tractability frontier for sparse graph classes. However, many classes are tractable, but not sparse. The recent twin-width theory, drawing on deep connections between logic and enumerative combinatorics, achieves an analogue of the result of Grohe et al. for all ordered graphs. Thus, algorithmic tractability is now understood in two contexts: of sparse graphs, and of ordered graphs. This project sets out to characterize all tractable graph classes. This requires developing a systematic understanding of the logical structure underlying algorithmic tractability. The tools I intend to apply and develop originate from graph structure theory, and from stability theory, one of the most successful areas in logic recently. The expected results will be of foundational nature, and of interest primarily to theoretical computer scientists, graph theorists, and logicians.

Keywords: finite model theory,structural graph theory,algorithmic model theory,graph algorithms,parameterized algorithms,model theory
Real-time monitoring of earthquake nucleation for faults near urban areas (QUAKEHUNTER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 1499731.0
EU funding (EUR): 1499731.0
Participants: 1
Project status: SIGNED

A longstanding, lingering question in geoscience is whether earthquakes show a precursory nucleation process. Precursory signals from well-recorded large earthquakes displayed widely different amplitude or duration, and some large earthquakes displayed no detectable precursors. The main objectives of QUAKE-HUNTER are (1) to determine the most effective approaches to detect fault-related transients preceding moderate to large earthquakes, and (2) to monitor seismic and aseismic processes and infer from them the fault conditions under which earthquake nucleation processes emerge, and the optimal instrumentation required to capture them. To achieve these, we will develop different methodologies based on a combination of supervised and unsupervised artificial intelligence to identify retrospectively earthquake nucleation processes for active faults near earthquake-threatened urban areas. The ultimate goal will be to test the performance of this novel earthquake forecasting methodology in near-real time. We will analyze data from north-western Turkey, where the North Anatolian Fault is overdue for a magnitude M>7 earthquake directly adjacent to the Istanbul megalopolis with its >15M inhabitants. The groundbreaking part of QUAKE-HUNTER is that if earthquake nucleation processes could be discerned prior to large earthquakes in the Marmara region, then automated near-real-time detection could provide extended warning and preparation time. If successful, this could become in the future an essential ingredient for activating civil protection protocols to mitigate seismic risk. QUAKE-HUNTER aims at having a strong scientific impact on earthquake physics: we will be able to refine our knowledge on the physics of earthquakes shortly before their start, as well as the fault conditions favoring the identification of earthquake precursors. The first-time testing of such methodology in real-time will have a strong societal impact, potentially advancing earthquakes forecasting.

Keywords: fault monitoring,seismic hazard,earthquake physics,earthquake forecasting,artificial intelligence,earthquake precursors
Transforming African Organic Waste into Green Energy for Cooling (KijaniBox)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Germany,Italy,Spain,Kenya,Uganda,Senegal
Call: Accelerating the green transition and energy access in Africa (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 5550685.0
EU funding (EUR): 4999285.0
Participants: 14
Project status: SIGNED

KijaniBox is a highly innovative project that will accelerate the African green transition and provide energy access for small businesses along the food supply chain. The target is to leverage the organic waste and transform them into green energy for cooling and refrigeration applications in order to prevent food losses and sanitary risks. The project aims to demonstrate the concept in 3 pilot sites in partnership with local waste management companies, food value chain actors and cold supply chain industries. In order to implement the concept, the project proposes highly innovative approaches called “Green Transition Enablers”. These are i) KijaniBox System itself, a small-scale, off-grid, industrial-grade waste to cooling system ii) Application Solution Boxes (ASB), application specific KijaniBox solution for three use cases iii) Co-creation Factory, enabling the local manufacturing capabilities for cost-effective solution, and finally iv) Business-in-a-Box, a comprehensive toolkit for entrepreneurs and stakeholders business support in order to ensure successful take-up and commercialization of the solution. KijaniBox is a highly innovative driven consortium composed of fourteen (14) entities, 7 European and 7 African partners, coming from 6 different countries. The ultimate target of KijaniBox is to pave the way for long-term sustainable economic growth and job creation opportunities in Africa and Europe.

Keywords: waste to energy,refrigeration,circular economy,bio digester,digitalisation,food value chain,life cycle assessment,foodbox,marketbox,farmbox
Biomarker and AI-supported FX06 therapy to prevent progression from mild and moderate to severe stages of COVID-19 (COVend)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Other health destinations
Action type: Research and Innovation actions
Countries involved: Germany,Switzerland,Belgium,Austria,Finland,Ireland,Netherlands,Lithuania,Spain,Romania,France
Call: Vaccines & therapeutic clinical trials to boost COVID-19 prevention and treatment (HORIZON-HLTH-2021-CORONA-01, 2021)
Start date: 2021-08-01
End date: 2025-07-31
Duration (months): 48.0
Total project cost (EUR): 9994977.5
EU funding (EUR): 9994977.5
Participants: 19
Project status: SIGNED

More than 2.7 million hospitalisations of COVID-19-infected patients have occurred in Europe alone since the outbreak of the coronavirus in 2020. An average 14% of those patients with mild or moderate illness develop severe symptoms and are eventually admitted to the Intensive Care Unit (ICU). The most common treatment of patients in the first two stages of the illness, such as remdesivir and antibody therapies, have neither shown the desired effect nor prevented the progression of the disease to severe and critical stages of the illness. Interventions against SARS-CoV-2 are in high need to prevent admissions to ICUs, and would reduce the burden on patients and their families, clinical staff and the healthcare sector. Additionally, such interventions would help to provide ICU beds for non-Covid patients requiring immediate interventions, such as for heart or cancer surgery, both of which are often in need of planned free ICU beds. In COVend, our multidsciplinary consortium will deliver a new effective therapy against SARS-CoV-2 for the clinical management of the COVID-19 disease during mild and moderate stages, including for the prevention of disease progression to severe illness. This will be achieved by advancing a promising therapeutic candidate, FX06, from Technology Readiness Level (TRL) 7 to TRL9 through a multi-centre phase II/III clinical trial. COVend will study the influence of COVID-19 on endothelial cells (ECs) and the potential protective effect of FX06, and will apply -omics technologies, generate new algorithms and open-source software to carry out data analytics and modelling, and will develop health economic models to assess the socio-economic benefits and cost effectiveness of the new therapy. The COVend consortium unites expertise from different disciplines, including (cell) biology, ICT expertise for AI-based evaluations, pharma, economics and social sciences, as well as clinical expertise from 13 European countries.

Keywords: covid 19,endothelial dysfunction,capillary leak,systemic inflammation,proteomics,metabolomics,lipidomics,data analytics,modelling,open source
Supporting Policy Regulations and Interventions to Negate aggravated Global diarrheal disease due to future climate Shocks (SPRINGS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Living and working in a health promoting environment
Action type: Research and Innovation actions
Countries involved: Netherlands,Italy,Romania,United Kingdom,Norway,United States,Ghana,France,Denmark
Call: Planetary health: understanding the links between environmental degradation and health impacts (HORIZON-HLTH-2023-ENVHLTH-02, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 5920338.88
EU funding (EUR): 5920338.88
Participants: 16
Project status: SIGNED

BACKGROUND: Global warming and climate extremes such as heavy precipitation, flooding, and drought are increasing risks for waterborne diarrheal disease. While these effects already burden low- and middle-income countries, where diarrheal diseases are the second leading cause of childhood deaths, Europe has shared and underappreciated vulnerabilities. There is an urgent need to prepare and protect our water and communities from these threats. AIM: To inform key climate, environmental, and health adaptation policies, in order to support and prepare citizens, communities and governments by better measuring the impact of future climate shocks on the burden of water-borne diarrheal diseases. APPROACH: We bring together scientists from climate, environment, health, and social sciences to collaborate with communities, industry, public authorities and policy makers across socioeconomic settings. We will model the future impact of global climate change, on local water quality and quantity, and diarrheal disease outcomes. In case studies in Ghana, Tanzania, Italy, and Romania, we will measure current interactions of climate, behaviour, and water quality on pathogen-specific diarrheal disease risks and the safety of water supply systems. We will engage individuals and communities to understand situated understandings and practices to improve risk communication and ownership. With policy makers, we will design appraisal structures to assess the economic impact and value of planetary health interventions to prevent climate-related diarrheal disease. IMPACT: SPRINGS will improve integrated climate and health surveillance, create climate-resilient water supply systems, engage citizens and stakeholders, and use evidence-based value assessments to prioritise interventions to prevent climate-induced diarrheal disease. Long term adaptive capacity and climate-resilience will increase in Europe and beyond, preventing unnecessary illness and deaths from waterborne diarrheal disease.

Keywords: water quality,water quantity,surveillance,modelling,diarrhea,global health,adaptation,policy
HUMAN ADAPTATION TO DIFFERENT ALTITUDES THROUGH TIME AND CLIMATIC CHANGES (HUMA)

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: Social Sciences and Humanities
Countries involved: Italy,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-01
End date: 2026-03-31
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 2
Project status: SIGNED

The evolution of Homo sapiens has always benefited from its ability to adapt to the most diverse environments. The subject of the adaptation of human groups to the environment has been of interest to scholars, whose attention is often turned to cases of adaptation to environments with extreme conditions and to the so-called ecological niches. However, little attention has been given to the choice of human groups to occupy extremely different environments (high mountains, higher than 2000 meter asl vs lowlands) and how high altitude settlements relate to the lowland sites in the framework of the land management. This is particularly the case of the Finale Pleistocene to Mid-Holocene period in the Horn of Africa. HUMA will be the first project to fully explore the contribution of a multidisciplinary and integrated approach to the understanding of human adaptation to the different environments in the Later Stone Age of the Horn of Africa. This will be achieved by integrating the most up-to-date approaches in lithic techno-functional analysis with organic and inorganic residues analysis on lithic artefacts and dental calculus analysis. Focusing on archaeological sites from Ethiopian highlands (Beefa Cave, a site discovered in 2019) and Somali highlands and plains, Huma will investigate the role played by the climate played in the development of the cultural traits and how environmental factors may have fostered specific adaptations to different ecological niches and encouraged seasonal use of them. Lithic techno-functional analysis, Residues analysis, Archaeobotany, Experimental Archaeology, Dental Calculus analysis, and aDNA analysis will be applied in order to answer the research questions. Both the University of Florence and the University of Connecticut are the ideal environments for undertaking the proposed cross-disciplinary research, as they will contribute with their theoretical, methodological, and professional resources to reaching the project's goals.

Keywords: lsa,horn of africa,lithic artefacts,residues analysis,dental calculus
Early treatment of Atrial fibrillation for Stroke prevention Trial in acute STROKE (EAST-STROKE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Germany,Netherlands,Spain,Belgium,United States,Switzerland
Call: Comparative effectiveness research for healthcare interventions in areas of high public health need (HORIZON-HLTH-2024-DISEASE-03-two-stage, 2024)
Start date: 2024-12-01
End date: 2030-11-30
Duration (months): 72.0
Total project cost (EUR): 7133964.04
EU funding (EUR): 6990668.8
Participants: 9
Project status: SIGNED

Patients with acute ischemic stroke and atrial fibrillation are at high risk for recurrent stroke and other adverse cardiovascular complications. Usual care comprises oral anticoagulation and rate control. However, it is unclear, whether existing interventions for early rhythm control reduce the risk of adverse cardiovascular outcomes in these vulnerable patients. EAST-STROKE (Early treatment of Atrial fibrillation for Stroke prevention Trial in acute STROKE) is set out to tackle and reduce the individual and societal burden of death and disability by providing evidence for effective secondary prevention using readily available interventions in these patients. To this end, EAST-STROKE is an investigator-initiated, prospective, randomized, open, blinded endpoint assessment (PROBE) multi- trial to test whether early rhythm control therapy prevents adverse cardiovascular outcome in patients with acute ischemic stroke and atrial fibrillation compared to usual care. Up to 1,746 patients will be enrolled. Trial organisation relies on a network of experienced clinical researchers, patient representatives and Health Economics experts. Outcome evaluation will involve a comprehensive array of clinical and safety parameters, health and socio-economic outcomes including patient reported outcome measures. We will also perform cost-effectiveness analyses to address the needs of payers and ease implementation into reimbursement schemes. The project addresses a major health burden and will provide evidence for more effective prevention of adverse outcomes in an area of high public health need. We expect that the results of EAST-STROKE will be implemented rapidly throughout Europe, will support health equity, and will prevent more than 150 thousand recurrent strokes or adverse cardiovascular outcomes over a period of five years. By this, EAST-STROKE will lead to significant cost-savings to European health systems and societies.

Keywords: acute ischemic stroke,atrial fibrillation,rhythm control,randomized trial,adverse cardiovascular outcomes,patient reported outcome measures,quality of life,health economic assessement