Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EUROPEAN RARE DISEASES RESEARCH ALLIANCE (ERDERA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: COFUND actions
Partnership: Rare Diseases (co-funded)
Countries involved: France,Spain,Germany,Italy,Lithuania,Netherlands,Estonia,Belgium,Portugal,Latvia,Serbia,Türkiye,Austria,Israel,Denmark,Georgia,Sweden,Ireland,Iceland,Poland,Bulgaria,Czechia,Greece,Norway,Cyprus,Slovakia,Finland,Slovenia,Morocco,Romania,Luxembourg,Hungary,Canada,United Kingdom,United States,Australia,Switzerland,New Zealand
Call: European Partnership on Rare Diseases (HORIZON-HLTH-2023-DISEASE-07, 2023)
Start date: 2024-09-01
End date: 2031-08-31
Duration (months): 84.0
Total project cost (EUR): 145830619.47
EU funding (EUR): 56317412.61
Participants: 178
Project status: SIGNED

The European Rare Diseases Research Alliance (ERDERA) aims to improve the health and well-being of the 30 million people living with a rare disease in Europe, by making Europe a world leader in Rare Disease (RD) research and innovation, to support concrete health benefits to rare disease patients, through better prevention, diagnosis and treatment. This Partnership will deliver a RD ecosystem that builds on the successes of previous programmes by supporting robust patient need-led research, developing new diagnostic methods and pathways, spearheading the digital transformational change connecting the dots between care, patient data and research, while ensuring strong alignment of strategies in RD research across countries and regions. Structuring goal-oriented public-private collaborations targeted at interventions all along the R&D value chain will ensure that the journey from knowledge to patient impact is expedited, thereby optimising EU innovation potential in RD. To support its ambition and missions ERDERA has been designed as a comprehensive and integrated ecosystem of which structure can be compared to an institute encompassing three main parts: (i) funding, (ii) internal (in house) Clinical Research Network that implements research activities targeting clinical trial readiness of RDs and accelerating diagnosis and translation of research discovery into improved patient care, and (iii) related supporting services (Data, Expertise, Education and Training) as well as an acceleration hub that serve external and internal RD community, all supported by all-embracing coordination and strategy and foundational (inter)national alignment.

Keywords: translational research,diagnostics,therapy development,atmps,data,education,patients empowerment,public private collaboration,federated analysis,regulatory compliance,clinical trials
Low-Cost, Circular, plug & play, off grid Energy for Remote Locations including Hydrogen (LOCEL-H2) (LoCEL-H2)

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: France,Italy,Pakistan,Tunisia,Germany,United Kingdom
Call: Demonstration of innovative plug-and play solutions for system management and renewables storage in off-grid applications (HORIZON-CL5-2022-D3-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 7394776.5
EU funding (EUR): 6193128.0
Participants: 9
Project status: SIGNED

Many communities in developing regions suffer disproportionately from energy poverty and the effects of climate change. Females in these communities face additional threats, including exposure to harmful cooking emissions. LoCEL-H2 will address underlying causes of these issues by providing renewable, cost-effective, plug-n-play, and sustainable provision of electrical energy and access to clean fuels. Our integrated prosumer renewable energy solution will be developed in harmony with local communities’ needs; our SSH team will evaluate critical socioeconomic factors for use in system development and future rollout. It is our ambition to provide operational training for deployment communities and future local partners. LoCEL-H2 features three impressive technical innovations: 1) a unique, low-cost, hydrogen-based energy solution, the Battolyser, 2) a novel battery technology, with high performance and excellent circularity, 3) a decentralized, peer-to-peer, prosumer microgrid designed holistically to facilitate sustainable rollout. Following system-level integration & validation (via a virtual pilot and a pre-pilot in Asia at TRL-7), the LoCEL-H2 team will deploy two full-scale TRL-8 pilots in Africa (Côte d'Ivoire and Zambia), including physical, digital, and social tools, achieving TRL-8 by the end of the current project. Our team’s existing commercial networks—Asian and African—will enable the further post-project commercial rollout of LoCEL-H2, boosting European export potential in sustainable energy solutions.

Keywords: prosumer,social innovation,gender,clean hydrogen electrolyser,solar,battery,microgrid,off grid electrification,decentralised power systems,sustainable business models,environmental impact
Twinning action for spreading excellence in Artificial Intelligence of Things (AIoTwin)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Croatia,Sweden,Austria,Germany
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 1499625.0
EU funding (EUR): 1499625.0
Participants: 4
Project status: SIGNED

AIoTwin is a twinning coordination action for spreading excellence in Artificial Intelligence of Things, bringing together researchers from three European universities (UNIZG-FER, TUW and TUB) and one research institute (RISE). The goal is to significantly strengthen the scientific excellence and innovation capacity of UNIZG-FER in the area of the Internet of Things through knowledge transfer and strategic networking activities between UNIZG-FER researchers and world-class scientists from leading EU institutions. This will be achieved through an elaborate work plan and a comprehensive set of activities that will increase the mobility of researchers and improve the scientific and innovative capacities as well as the attractiveness and visibility of UNIZG-FER in the European Research Area. AIoTwin identifies four research domains relevant to AIoT: 1) Edge Computing and Orchestration, 2) Federated and Decentralised Machine Learning, 3) AI for Robust and Energy-Efficient IoT, and 4) Distributed Ledger Technology (DLT) for IoT, which align well with current research directions leading to the new evolutionary phase of next-generation IoT. The knowledge gained through the networking activities in the RDs will be the driving force for conducting a joint research project on data-driven orchestration middleware for energy-efficient IoT supporting ML workflows. The middleware will be tested on a selected use case using the consortium's shared infrastructure. In addition, the project will strengthen the research management and administrative skills of UNIZG-FER staff. AIoTwin provides a unique opportunity for UNIZG-FER researchers to work closely with leading international researchers to develop new ideas, foster creativity, and strengthen the impact of all participating partners on an international level. It will contribute to strategically reduce disparities between Croatia and other EU Member States participating in the Horizon Europe programme.

Keywords: internet of things,artificial intelligence,edge computing,energy efficiency,distributed ledger technology,federated machine learning,support action,research and innovation
eXtended Reality for Education (XR4ED)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Innovation actions
Countries involved: Cyprus,Ireland,Greece,France,Luxembourg,Romania,Spain
Call: eXtended Reality Learning - Engage and Interact (IA) (HORIZON-CL4-2022-HUMAN-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 8531775.88
EU funding (EUR): 7664152.5
Participants: 11
Project status: SIGNED

The European EdTech sector is playing an increasingly important role in driving forward digital transformation in Europe covering all education, training sectors. According to estimates, the sector saw a 15% increase on investments in 2021 and global investments are expected to reach over $87 billion in the upcoming decade. Notwithstanding, the sector is heavily fragmented across the European Union with many small players and few companies playing a global role. The European XR industry has evolved and maintained a leading role globally in software and content production. The use of XR can expand the range of activities through which students can gain hands-on experience, enabling them to go beyond abstract knowledge and supporting skills-based teaching and learning. Currently, developing XR applications for education require specialised knowledge and strong XR development skills. The process takes a lot of effort, time, and money. XR4ED concept is to: a) bring together EdTech and XR community and resources, overcoming fragmentation issues and encouraging the acceleration of innovation for personalised, innovative, efficient, and inclusive learning using XR; b) build a one-stop-shop and open marketplace for XR applications for learning, training and education that will act as a European reference platform on learning and teaching with XR. XR4ED will focus on the following sectors which must be further developed to make Europe a leader in cutting-edge technologies for education: • Boost the deployment of innovative XR applications for learning, training, and education. • Enable digital start-ups, SMEs, and industry active in the EdTech sector to further advance early prototypes, of digital learning solutions/apps using XR to a market-ready product. • Provide a single point of access to XR content, tools and solutions based on open standards. • Provide links to existing relevant initiatives and projects, including existing platforms, catalogues, or repositories.

Keywords: extended reality
Distributed Network Intelligence over Mobile Edge Systems (DRIVE)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2028-01-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

Network intelligence is envisioned as the cornerstone of 6G mobile edge systems. By deploying distributed machine learning algorithms at end-user terminals, the network can harness collective intelligence from vast data sources, enabling the real-time management of numerous devices in dynamic environments. However, users’ mobility nature renders the end-user terminals constantly encountering varying physical conditions, necessitating fast convergence of the distributed model training for timely decision-making. To accomplish this target, this project aims to deliver a systematic design, grounded in solid theoretical foundations and validated through real-world prototypes, that advances the understanding, optimization, and implementation of distributed network intelligence in mobile edge systems. The objectives are fourfold: (1) establish a theoretical framework for assessing the impact of system parameters across different layers on the efficiency of model training and identifying the dominating factors that constrain the training performance; (2) develop a goal-oriented status information exchange mechanism to enable timely update of status information across the interconnected terminals; (3) design a novel distributed model training method, utilizing personalized federated learning and high-order distributed optimization methods to stabilize the model update and accelerate the convergence process; and (4) build a comprehensive prototype system that implements the proposed solutions and verify their practical efficacy. These innovations will not only enhance the interpretability of network intelligence but also improve its operability. The expected outcome of this project shall forge forward the studies in distributed machine learning as well as network communication theory, demonstrating that the innovative fusion of two traditionally hitherto unrelated fields of study will propel and facilitate the rapid development and deployment of network intelligence in 6G.

Keywords: network intelligence,machine learning,mobile edge systems,transmission latency,convergence rate
Bioactive polyphenolic compounds from brown macroalgae: A mechanistic study on pig gut health promoting effects (BioAlgae) (BioAlgae)

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: Norway,Belgium
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 2
Project status: SIGNED

Modern pig production hugely depends on in-feed antibiotics to control postweaning diarrhea (PWD) and improve pig gut health during weaning. However, the use of in-feed antibiotics and zinc oxide (ZnO) has already been banned in Europe prompting an urgent need for alternative solutions. Currently, there is emerging interest in various bioactive compounds from brown macroalgae such as the polyphenolic compound phlorotannin (Pt) as a potential alternative due to their diverse biological activities. Weaning in pig compromises not only short-term gut health or reduces energy status, or alters gut microbiota (GM), but also disrupts mucosal integrity increasing susceptibility to infection and negatively influencing long-term health. Therefore, it can be hypothesized that improving immune status, enhancing intestinal barrier functions, and inhibiting specific harmful microbes using Pt can lead to both short-term favorable GM profile and long-term beneficial impacts on immunity and resistance against infection. Therefore, the objectives of this study are to investigate the effects of Pt on the enteric pathogen such as E. coli, GM, mucosal immunity and intestinal barrier function, and how these effects can be utilized to mitigate PWD in weaned pigs. Given my background and my supervisors’ track record in the gut health as well as the use of macroalgae in livestock as alternative to antibiotics, I have firm conviction in the successful achievement of the objectives of this project. The effects of Pt are expected to be reflected in improved pig gut health, reduced mortality and enhanced productivity in weaned pigs. This has huge implications in Europe to fill the vacuum created by the banning of in-feed antibiotics and ZnO. Moreover, this research project can complement the skills gained from my PhD project by filling some of the skill gaps which are important to develop my envisioned career by strengthening my hands-on lab and overall research skills in pig gut health.

Keywords: pig,gut health,weaning,post weaning diarrhea,brown macroalgae,phlorotannin
The Flexible Brain: (Re-)shaping Adaptation in Semantic Cognition (FLEXBRAIN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1999750.0
EU funding (EUR): 1999750.0
Participants: 2
Project status: SIGNED

The human brain is flexible. Neural networks adapt to cognitive demands by flexibly recruiting different regions and connections. Flexible network adaptation enables cognitive functions such as semantic cognition: the ability to use, manipulate, and generalize knowledge. When key nodes suffer damage, networks can adapt to recover function. Yet, brain lesions often severely impair semantic cognition. How the semantic network adapts to lesions is poorly understood. My hypothesis is that disruption of the semantic network can be compensated for by recruitment of domain-general networks. This notion is based on findings that disruption of semantic nodes inhibits semantic activity but increases activity in domain-general nodes. Yet, the behavioral relevance of domain-general recruitment is unclear. Compensation means that behavior can be preserved as other nodes work harder. Can domain-general networks effectively compensate for disruption of specialized nodes? Is this a common principle of flexible adaptation in the healthy young, aging, and lesioned brain? Unprecedented inhibitory and facilitatory neurostimulation will be used to unbalance and rebalance network adaptation in semantic cognition. Importantly, a novel network stimulation approach will target multiple nodes simultaneously. I ask three questions. (i) Can domain-general networks compensate for semantic network disruption? (ii) Is domain-general recruitment in the aging brain adaptive? (iii) Do domain-general networks drive flexible adaptation to lesions? Perturbing young brains will elucidate the relevance of network adaptation. Perturbing aging brains will probe compensatory reorganization. Facilitating lesioned brains will reshape flexible adaptation. Benefitting from my strong neurostimulation experience, we will elucidate the way the brain compensates for disruption. The potential impact of the project on current conceptions of brain plasticity, and for rehabilitative medicine in particular, is immense.

Keywords: semantic cognition,neurostimulation,functional neuroimaging,compensation
ENERGY PLANNING AND MODELLING THROUGH INTEGRATED ASSESSMENT OF CLIMATE LAND ENERGY WATER NEXUS IN SUB-SAHARAN AFRICA (EPIC Africa)

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: Research and Innovation actions
Countries involved: Netherlands,Sweden,Belgium,Kenya,Ghana,Burkina Faso
Call: AU-EU Water Energy Food Nexus (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 2499675.0
EU funding (EUR): 2499675.0
Participants: 7
Project status: SIGNED

Achieving clean energy access and food security targets in Sub-Saharan Africa (SSA) will require significant infrastructure expansion. Improved policy environments and governance structures are recognised as vital in scaling up funding for climate-resilient investments in renewable energy infrastructures. The efficient exploitation of land, energy and water resources and their synergised use for sustainable economic development, as well as their robustness to stressors from climate change require integrated optimisation and assessment of strategic plans in these sectors. Working with existing, widely adopted, open-source modelling tools and data, the EPIC Africa project will build on the transparent integrated assessment, and resource modelling, connecting to the already existing community of developers and users. The project will create a network of African experts to train, co-create and sustain the tools developed in the long term, which is lacking at the moment. The project will build advanced and spatially contextualised water-energy-food (WEF) models for long-term infrastructure planning. Operational WEF models with sufficient temporal and spatial resolution will be developed and used to verify cost-optimised infrastructure investment plans under different climate and socioeconomic scenarios. EPIC Africa sets out to support governance of sustainable development in SSA by forming and connecting a transition arena with stakeholders in dialogue, leading to the development of a WEF nexus digital engagement tool. Optimal use of shared resources will be exemplified for Africa using the cases of the Volta and Tana river basins. Here, we will design specific policy, investment and infrastructure plans for the coming decades in the agricultural, water and energy access sectors. The project will produce a set of institutional, regulatory and technical recommendations for sustainable management of optimised transition pathways.

Keywords: wef nexus,clews framework,long term investment planning,operational optimisation,transboundary cooperation,governance of sustainable transitions,transition arena,fair data and models
Advanced Vortex Technology for Electrified Solvent Regeneration (AVATAR)

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: Belgium
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-08-01
End date: 2027-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The urgent need to reduce global carbon emissions is driving the development of advanced CO2 capture technologies. However, state-of-the-art packed bed-based processes (e.g., EFG+ or Linde-BASF) and rotating packed beds (CarbonClean) face significant challenges, including their high energy consumption, enormous infrastructure requirements, and operational complexities. This relates primarily to the solvent regeneration step, the Achilles' heel of absorption-based carbon capture technologies. Building on our patented vortex technology and advanced computational fluid dynamics platform developed under the ERC OPTIMA project, the AVATAR project aims to overcome these challenges by developing and demonstrating a Multi-Stage Vortex Unit (VORTEX-AVI) with integrated resistive heating for electrified solvent regeneration. This innovative design further develops the use of centrifugal forces within a static geometry to intensify processes, eliminating the mechanical rotation issues found in rotating packed beds while enhancing both scalability and operational flexibility. Preliminary simulations indicate that AVATAR technology can lower energy consumption to 1.7 GJ per ton of CO2, significantly outperforming current standards of 2.5 GJ per ton of CO2. The project will validate these findings through experiments focused on cold flow hydrodynamics, hot and reactive flow testing, and finally, the integration of resistive heating. Expected outcomes include at least a tenfold increase in CO2 release rates per unit volume compared to conventional desorbers, huge reductions in operational and capital costs, and improved feasibility for future high- Technology Readiness Level (TRL) applications. This potential for high-TRL applications is a testament to the transformative nature of the AVATAR technology. The PoC dataset will be instrumental in convincing industrial stakeholders to invest in post-AVATAR scale-up. A roadmap will be developed to guide industrial implementation.