Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
RECYCLED METALS FOR ABOVEGROUND HYDROGEN STORAGE (REMEDHYS)

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: Norway,Italy,Germany,France
Call: Novel large-scale aboveground storage solutions for demand-optimised supply of hydrogen (HORIZON-JTI-CLEANH2-2024, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 4947463.59
EU funding (EUR): 3996168.95
Participants: 10
Project status: SIGNED

The main objective of REMEDHYS is to advance the maturity of aboveground solid-state hydrogen storage solutions based on metal hydrides with hydrogen chemically bounded to the metals, and operation at ambient conditions. This is a compact and safe hydrogen storage method, and with significant advantages compared to both compressed and liquid hydrogen storage solutions. The hydrogen storage system in REMEDYS with capacity of 100 kg H2 will operate at a pressure below 50 bar. The metal hydrides will be produced from low-cost recycles metals sourced in Europe, and then minimizing the needs to import critical raw materials to Europe. The modular hydrogen storage system will be validated in an end-user scenario with a 2 MW PEM electrolyzer and supplies of hydrogen to a hydrogen-powered offshore service supply vessel. REMEDHYS will contribute to implementation of regulations, codes, and standards for large-scale aboveground storage systems for solid-state hydrogen storage systems. The project will also address sustainability and circularity aspects by employing a Life Cycle Assessment and make recycling of critical raw materials as an integrated part of the materials development. The REMEDHYS consortium consists of the leading research institutions in Europe on solid-state hydrogen carriers; four research centers and two universities, and four partners from the industry. REMEDHYS will build on the experiences from the EU funded project HyCARE, 2019-2023, which had six of the REMEDHYS partners.

Keywords: aboveground hydrogen storage,solid state hydrogen carrier,metal hydrides,recycled metals
Decision support for prediction and management of Long Covid Syndrome (LCS) (Long Covid)

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: Finland,Netherlands,Estonia,Germany,Italy,Switzerland
Call: Personalised medicine and infectious diseases: understanding the individual host response to viruses (e.g. SARS-CoV-2) (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-06-01
End date: 2026-05-31
Duration (months): 48.0
Total project cost (EUR): 6549674.79
EU funding (EUR): 6549673.69
Participants: 14
Project status: SIGNED

We will develop tools and knowledge to support physicians in accurately managing Long COVID syndrome (LCS) which has a significant impact on sufferers as well as their surroundings. Although much is now known regarding appropriate clinical management of acute COVID-19, very little is known about clinical manifestations, risk factors and underlying mechanisms for development of the highly heterogenous LCS. In this project, we aim to understand and mechanisms of LCS by combining front-line expertise from the fields of clinical medicine, virology, metabolism and immunology. We will study the pathogenesis of LCS by conducting geographically diverse cohort and registry studies, by conducting mechanistic studies, by using novel high-throughput methods for biomarker analysis, and by conducting interventional and follow-up studies on LCS patients. We will combine results from clinical and mechanistic studies to identify molecular and physiological parameters and/or pathways to decipher the mechanisms underlying LCS. We will exploit the high-throughput omics technologies to identify the predisposing factors and biomarkers that lead to the development of LCS. We will collect data from the cohort, mechanistic, biomarker and interventional studies and use these to validate the predictive artificial intelligence algorithms and to produce information and gain understanding on the combination of factors that lead to certain clustering of patients into different groups with specific symptoms. A machine learning and AI-informed Long Covid Prediction Support (LCPS) tool will be developed for the use of clinicians to predict the LCS and its possible clinical manifestations in patients. It will also help in the choice of personalized treatments for LCS patients. Additionally, an interactive graphic user interface infographic will also be available to clinicians and patients; this will communicate novel and understandable information about LCS and recommendations for patient management.

Keywords: virology,serology,immunology,psychology,genetics,lipidomics,metabolomics,antibody epitope screening,ai driven prediction support tool,interventions
BUILDING RESILIENT INDIVIDUALS THROUGH EFFECTIVE GRADUAL EDUCATIONAL TRANSITIONS (BRIDGE)

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,Italy,Netherlands,United Kingdom,Estonia
Call: Effective education and labour market transitions of young people (HORIZON-CL2-2024-TRANSFORMATIONS-01, 2024)
Start date: 2025-02-01
End date: 2029-01-31
Duration (months): 48.0
Total project cost (EUR): 2885190.0
EU funding (EUR): 2872690.0
Participants: 6
Project status: SIGNED

Given the high number of early school leavers and the growing inequalities, it appears that our education systems still fail to provide inclusive quality education and equal opportunities for effective educational transitions. Therefore, a multidisciplinary consortium of five experienced and leading research groups from five European research universities, and a NGO with a strong track record on dissemination and implementation proposes the BRIDGE research project. The BRIDGE’s project overarching aim is to improve participation and completion rates in upper secondary and tertiary education in Europe and to promote more effective educational choices, by providing rigorous evidence on policies and practices that promote better-informed and more effective education and labour market transitions. Additionally, we pay special attention to two recent challenges as we deepen the understanding on the long-term impact of the Covid-19 crisis, and how international student and graduate mobility strengthens education and economies. To this end, BRIDGE leverages unique datasets, providing valuable insights into both cognitive and non-cognitive aspects of schooling transitions. Working closely with education stakeholders and using state-of-the-art quantitative and qualitative methods, the BRIDGE project assesses the impact of education and training policies on enhancing learning attainments and labour market performance. Ultimately, as an impact-driven research project, BRIDGE is committed to producing robust recommendations for education and training policies, which will strengthen quality education and result in less inequality in Europe.

Keywords: transistions completion rate early school leaving covid 19 equity student international mobility
e-health tools to promote Equality in Quality of Life for childhood to young adulthood cancer patients, survivors and their families - a PanEuropean project supported by PanCare and Harmonic consortia (e-QuoL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Innovation actions
Countries involved: Hungary,Norway,France,Italy,Denmark,Finland,Spain,Germany,Bosnia and Herzegovina,Slovenia,Romania,Belgium,Netherlands,Switzerland,United Kingdom,Croatia
Call: Establish best practices and tools to improve the quality of life for childhood cancer patients, survivors and their families in European regions (HORIZON-MISS-2023-CANCER-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 7131751.25
EU funding (EUR): 5907679.88
Participants: 33
Project status: SIGNED

Cancer affects 35,000 children, adolescents and young adults (CAYAC) in Europe each year. Current 5-year survival rates are 80%, but the intensive oncological treatments leave CAYAC Survivors (CAYACS) at increased risk of cancer or treatment-induced late health effects, excess morbidity and mortality, and reduced quality of life (QoL). Follow-up care of survivors includes monitoring of cancers, managing all types of late effects, and maintaining overall health. It should also involve considering the needs of families whose functioning has been disrupted by cancer. There are several challenges providing follow-up care for CAYACS and their families: i) it is resource-demanding in an overburdened healthcare system, ii) psychosocial and supportive care needs are often unmet, and iii) access is inequal between European countries. The overall goal of e-QuoL is to use e-health tools to promote Equity in Quality of Life for CAYACS and their families. It will adapt an existing interoperable personalised e-Health tool that can be used alone or as an add-on module to existing tools such as digital survivorship care plans already used in several European countries. Through participatory research, involving CAYACS, families, associations, networks, health institutes, social sciences and humanities researchers and industrial partners from 15 different countries and backgrounds, we will i) identify the unmet needs of CAYAC families and survivors’ (including vulnerable groups: young age and cognitive impairments) and ii) adapt accessible and affordable tools to address these needs. These tools will provide a person-centred approach from medical follow-up, preventive behaviours (e.g. physical activity, nutrition), psychological and social support (e.g. education, employment) to related health information (e.g. on reproductive issues). Ultimately, e-QuoL will improve CAYACS’ QoL by enabling them to actively engage in their care and better self-manage their health and well-being. This action is part of the Cancer Mission cluster of projects on “Quality of Life.
New science in Radio Astronomy: applying cutting-edge technology to enhance the entire data chain, from receiver to final output. (RADIOBLOCKS)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Technology and infrastructures
Action type: Research and Innovation actions
Countries involved: Netherlands,Germany,Spain,France,Sweden,Latvia,Italy,Switzerland,Korea, Republic of,South Africa,United Kingdom
Call: R&D for the next generation of scientific instrumentation, tools and methods (HORIZON-INFRA-2022-TECH-01, 2022)
Start date: 2023-03-01
End date: 2027-02-28
Duration (months): 48.0
Total project cost (EUR): 8903952.25
EU funding (EUR): 8903952.0
Participants: 37
Project status: SIGNED

The goal of the RADIOBLOCKS project is to achieve a maximal boost for the European major world-leading research infrastructures in radio astronomy, which over the years have invested heavily in maintaining existing facilities as well as in substantial upgrade programmes, after identifying common challenges towards their mid- and long-term scientific visions. In this project, the institutes responsible of these facilities join forces, together with partners from industry and academia, in order to develop “common building blocks” for technological solutions beyond state-of-the-art, that will enable a broad range of new science and enhance European scientific competitiveness. They share the need to continuously improve their capabilities in order to enable new science: sensitivity, field of view, bandwidth, angular, time and frequency resolution, commensality and on-sky time, reaction time and RFI mitigation. Engagement with industry to co-develop advanced technologies will increase the partners’ technological levels and strengthen their market positions, creating a true European innovation system. This project carries out carefully targeted development work and addresses common aspects in the complete data chain, categorizing this in four phases: Novel detectors and components, digital receivers, transport and correlator, and data (post)processing. We will design and demonstrate common building blocks based on cutting-edge technologies, that will be enablers and extenders in the areas most critical to the RIs, and can and will be used for upgrades of several RIs. The building blocks will be new instrument components and advanced digital solutions based on newly available (HPC/AI optimized) hardware. This approach will enable a tremendous increase of the science delivery potential of Europe’s major radio astronomical observatories, for science cases that are high on their long-term agendas, aimed at the widest possible science community in Europe and beyond.

Keywords: radio astronomy
Hyper-Distributed Artificial Intelligence Platform for Network Resources Automation and Management Towards More Efficient Data Processing Applications (HYPER-AI)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Greece,Germany,Austria,Spain,Italy,Cyprus,Switzerland,Korea, Republic of
Call: Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership) (RIA) (HORIZON-CL4-2023-DATA-01, 2023)
Start date: 2024-04-01
End date: 2027-03-31
Duration (months): 36.0
Total project cost (EUR): 5547312.5
EU funding (EUR): 4628975.0
Participants: 15
Project status: SIGNED

In HYPER-AI, we work with smart virtual computing entities (nodes) that come from a variety of infrastructures that span all three of the so-called computing continuum's layers: the Cloud, the Edge, and IoT. It focuses on intensive data-processing applications that present the potential to improve their footprint when hyper-distributed in an optimized manner. In order to give targeted applications access to computational, storage, or network services, HYPER-AI implements the idea of computing swarms as autonomous, self-organized, and opportunistic networks of smart nodes. These networks may offer a diverse and heterogeneous set of resources processing, storage, data, communication) at all levels and have the ability to dynamically connect, interact, and cooperate. HYPER-AI proposes semantic representation concepts to enable heterogeneous resources’ abstraction in a homogeneous way, under a common annotation (computing node), across the whole range of network infrastructures. The main orchestration and control concept of HYPER-AI is inspired by autonomic systems (self-CHOP principles) which employ swarmed computing schemes. Its objective is to make smart multi-node (swarm) deployment scenario design, execution, and monitoring easier, through appropriate AIs for self-configuration (nodes assigned resources), self-healing (swarmed nodes lifecycle), self-optimizing (exploiting built-in situation awareness mechanisms) and self-protecting (intrusion detection, privacy, security, encryption and identity management) at application runtime. In order to support dynamic and data-driven application workflows, HYPER-AI suggests the flexible integration of resources at the edge, the core cloud, and along the big data processing and communication channel, enabling their energy, time and cost-efficient execution. Finally, distributed ledger concepts for security, privacy, and encryption as well as AI-based intrusion detection are also considered.

Keywords: artificial intelligence,asynchronous multi agent optimization,reinforcement learning,semantic context,open ontological representations,autonomous swarming,distributed ledger privacy and security
EATRIS-CONNECT (EATRIS-CONNECT)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Netherlands,Spain,Czechia,Finland,Croatia,Italy,Portugal,Luxembourg,Slovenia,Bulgaria,Norway,Sweden,France,Latvia,Ireland
Call: Consolidation of the RI landscape – Individual support for evolution and long-term sustainability of pan-European research infrastructures (HORIZON-INFRA-2023-DEV-01, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 4999668.75
EU funding (EUR): 3999735.0
Participants: 29
Project status: SIGNED

Since the establishment of EATRIS as an ERIC in 2014, the infrastructure has developed a growing portfolio of services and collaborative projects serving several user groups including industry (large pharma and SME), academia, research funders and patients. EATRIS has progressed from proposing a strong proof of concept service portfolio, to building and delivering innovative tools for translational research and is now advancing its strategy to further exploit these tools for the extended research and innovation community. EATRIS-CONNECT will accelerate this strategy by focusing specifically on advancing the digital readiness of EATRIS to support biomedical challenges in Europe and provide translational solutions for the benefit of personalised medicine. Through curated access to novel digital tools and services, as well as node strengthening, EATRIS-CONNECT will equip EATRIS across the entire distributed research infrastructure to address bottlenecks and challenges for the application of digital solutions in the context of use. Moreover, the project will ensure this digital transformation is environmentally sound by improving energy, resource, and material efficiency, supporting the environmental goals of the European Green Deal. The project will promote the cross-border alignment in the adoption and application of digital tools and help consolidate the European RI landscape by fostering interdisciplinary collaborations between cross-sector RI and exploring how RI can together unlock innovation in the digital domain. EATRIS-CONNECT will provide the pathway for the evolution of EATRIS. All 14 national EATRIS nodes form the central pillar of EATRIS-CONNECT, facilitating the alignment of strategic national priorities across the infrastructure and empowering EATRIS widening nodes to strengthen their digital competencies, ultimately ensuring the long-term sustainability of EATRIS.

Keywords: digital transformation,research infrastructure,innovation,cross discipline collaboration,increased research capacity,translational medicine,personalised medicine,widening countries
Europe-India Partnership for Scientific High-Performance Computing (GANANA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EUROHPC (JU-JTI)
Countries involved: Sweden,Netherlands,Spain,Italy,France,Finland,Germany
Call: India-EU (HORIZON-EUROHPC-JU-2023-INCO-06, 2023)
Start date: 2025-02-01
End date: 2028-03-31
Duration (months): 38.0
Total project cost (EUR): 4999522.5
EU funding (EUR): 4999522.5
Participants: 11
Project status: SIGNED

High-Performance Computing (HPC) is a major enabler of progress in many domains of science, including UN Sustainable Development goals towards improving population health and climate action. HPC is driving breakthroughs in genomics, drug discovery, and personalized medicine, as well as geophysical hazard simulations, improving preparedness for disasters like earthquakes and tsunamis, and supports weather and climate predictions. Europe is among the world leaders in HPC and with initiatives such as EuroHPC JU is advancing the usage of exascale computer systems for research. India is expanding its HPC capabilities through the National Supercomputing Mission, focusing on indigenous technology and fostering academic, industrial, and governmental collaborations. Combining Europe’s advanced infrastructure with India’s growing expertise offers opportunities for innovation in those strategic areas of climate modeling, disaster management, and healthcare. Shared resources and expertise can enhance predictive models, accelerate responses to pandemics, and foster technological and economic growth. The GANANA project is establishing a long-term partnership collaboration by uniting European HPC centers of excellence (BioExcel, ChEESE, ESiWACE3) and Indian institutions (C-DAC, IMD, ISR, NII, AIRAWAT) with the objectives to: • Strengthen the links between research communities in the priority domains by supporting existing and establishing new collaborative activities. • Setup and operate a range of activities in support of expertise exchange, capacity building and sharing of computing resources. • Develop selected leading software packages by extending their functionality, optimise HPC performance and scalability, deploy on target architectures, improve usability and data integration. • Expand the outreach, broaden the participation of external collaborators and develop a framework for wider community engagement and cooperation. • Investigate options for governance and funding models, engage in a policy dialogue with key stakeholders and develop a framework for long-term partnership.