Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mathematics Gabon Africa (MaGA)

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: Mathematics
Countries involved: France,United Kingdom,Netherlands,Gabon,Senegal,Congo,Mali,Burkina Faso
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 1798590.0
EU funding (EUR): 1798590.0
Participants: 14
Project status: SIGNED

Mathematics in Gabon for Africa project brings together a broad spectrum of mathematicians covering the expertise needed to make substantial progress in several directions insofar as they bring into play common knowledge and inspirations. MaGA project is highly international projects, implemented by consortia involving three European and five African countries. Built around a core of researchers in sub-Saharan Africa (based in Burkina Faso, Gabon, Mali, Republic of Congo and Senegal), it aims to develop a large-scale intercontinental collaboration, starting from and multiplying the forces present. Africa's economic development cannot be achieved without its skills, particularly the most qualified. We aim to train a new generation of African mathematicians able to actively participate in the development of their universities and their country, in collaboration with the international community, and to organize scientific training meeting the needs of local non-academic organizations. MaGA project will train the future trainers, establish the scientific potential and influence of the African and European researchers and develop attractive and relevant local doctoral training. It offers a coherent strategy to build demanding training adapted to economic and social local needs and to strengthen North-South-South capacity. It aims to create in Gabon within 10 years a center of excellence in mathematics, a place of regional convergence of Research and Innovation initiatives open to the non-academic world. The scientific project explores a broad spectrum of open theoretical and applied questions in mathematics and includes a speculative component opening towards the non-academic world.
BUILDING INTEGRATIVE SINGLE CELL OMICS CAPACITIES USING INVERTEBRATE TUMOR MODELS RELEVANT TO HUMAN DISEASE (SCENTINEL)

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
Panel: Life Sciences
Countries involved: Greece,France,Spain,Sweden
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 1406876.25
EU funding (EUR): 1406876.25
Participants: 5
Project status: SIGNED

SCENTINEL aims to elevate the international status of FORTH, Greece by enhancing its Genomics and Bioinformatics capacities, which are presently underdeveloped. For this reason, FORTH-IMBB twins with four major European research institutions: the IGBMC a component institute of the CERBM (Strasbourg), the CNRS Insitut Jacques Monod (Paris), Stockholm University and the IRB (Barcelona). Our scientific vessel will exploit Drosophila neural cancer models, to address fundamental questions about tumorigenesis, tumor composition and tumor-microenvironment interactions. In the long-term, our results may prove relevant for human cancer diagnosis and treatment, achieving a tangible impact of wider benefit to society. Our action plan will include both network-wide actions (hands-on workshops, virtual and in-person network meetings) and individualized training (e.g. inter-lab visits, training of facility personnel. training of operational officers in research management). Dissemination and communication activities will target the scientific community (conferences, seminars, high-impact publications), authorities and financial stakeholders (forums, open days) and the general public (digital media, science popularization presentations). Young and senior scientists of the network will benefit by engaging in excellent research and acquiring scientific skills in cutting-edge technologies, as well as soft skills necessary for mobility across EU Academia and Industry. Via SCENTINEL, FORTH-IMBB will emerge as a leader in advanced genomics & bioinformatics and will make its services available not only to the local biomedical community, but also to the wider area of Southeastern Europe. The upgraded FORTH R&I capacities will stimulate retention and recruitment of highly motivated, internationally competitive scientists, improving its human capital. The strengthened links among participating institutes will promote collaborations beyond the duration of this project and ensure success in future funding for innovative research.

Keywords: single cell genomics,drosophila,tumor models
HIPFLAPP: High Precision Flavoured Particle Production at the Large Hadron Collider (HIPFLAPP)

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
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): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

The project will develop and exploit theoretical calculations to study particle collisions that feature heavy flavours, namely the charm quark and beauty quark, at the Large Hadron Collider. Identifying heavy quarks is critical to pinpoint specific scattering processes and reject backgrounds, resulting in an unique opportunity to probe the structure of the proton, to improve our understanding of the Higgs mechanism and to possibly unveil the presence of new physics signals in the LHC data. On the theoretical side, the accuracy and the precision of phenomenological predictions must be increased to keep up with the progressively smaller uncertainty on experimental measurements, so that reliable comparisons with experimental data can be performed. More specifically, the project will focus on very accurate computations in quantum chromodynamics to better describe the production of flavoured particles across a wide kinematic range, so that no region of phase-space is left unexplored: these theory predictions will require a combination of both fixed-order and all-order perturbative calculations in the strong coupling constant. A public code with the implementation of the predictions for heavy hadron production at ultimate precision will be assembled, hence providing other researchers in theoretical physics and the experimental collaborations with a valuable tool in the LHC precision era.

Keywords: qcd,heavy quarks,precision calculations
An integral solution for quantifying intracellular lipid transport using close to native lipid probes. (AURORA)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Dysregulation of lipid transport and metabolism is at the center of many diseases. Despite its crucial role, gaining a full understanding of lipid transport remains challenging as visualizing lipids and their transport by microscopy is almost impossible. By providing technological solutions to this problem, we envision to enable new therapeutic strategies with the corresponding benefits for society at large. A better understanding of lipid transport can help guide the design of drugs to for example treat fatty liver disease, which is estimated to affect up to quarter of the global population. During the ERC PoC grant period, we plan to translate our current protocols to high throughput screening setups with the goal to service the pharmaceutical industry and design ready-to-use kits and devices that will allow academic laboratories to answer their unique research questions.
Integrating AI in Stroke Neurorehabilitation (AISN)

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: France,Germany,United Kingdom,Spain,Belgium,Austria,Italy,Romania,Netherlands,Switzerland
Call: Clinical validation of artificial intelligence (AI) solutions for treatment and care (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-12-01
End date: 2026-11-30
Duration (months): 48.0
Total project cost (EUR): 5952082.13
EU funding (EUR): 5940894.0
Participants: 18
Project status: SIGNED

Health services are increasingly moving towards a treatment continuum aligned with the patient journey. This transition will critically depend on the successful deployment of trustworthy AI-enhanced technologies that are accurate, secure, and trusted. The AISN project will develop and validate operating procedures and guidelines for integrating AI in a healthcare continuum, focussing on post-stroke rehabilitation. AISN delivers a representative AI health platform built from integrating validated platforms for data acquisition and access, clinical interpretation, whole-brain simulation, clinically validated intervention delivery and optimization and model-based prediction. The AISN integrated platform will be validated in the clinical context of rehabilitation in the outpatient and at-home phase and facilitate a concrete assessment of the fundamental ways in which AI-enhanced clinical decision-support will change the care pathway and the formulation of novel AI compatible treatment guidelines. AISN ensures an ethical approach by developing legal and ethical guidelines for the robust, fair, and trustworthy deployment of AI in health and validating acceptance and transparency of its solutions. Building on the AISN platform, the project will test current standard operating procedures for integrating AI in health care and formulate and validate new ones where needed. The AISN guidelines and procedures will emphasize the evidence base and safety of clinical interventions, transparency, prognostics at varying time-scales, personalization of interventions, access to disease-specific information by clinicians, patients and their carers, and assure that the potential of AI is fully developed in the service of value-based medicine satisfying standards of security and safety. We will go beyond currently available guidelines and frameworks by emphasizing explainability, AI tools with evolving performance, and the dynamic interaction between users and algorithms.

Keywords: stroke rehabilitation,artificial intelligence,machine learning,virtual reality,brain modelling,cloud computing,knowledge data base,whole brain simulation,virtual research environment,
Resilient Oats: Improving Drought Stress Resistance in a Changing Climate (RESIST)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 1499961.0
EU funding (EUR): 1499961.0
Participants: 4
Project status: SIGNED

Providing food security in the face of climate change and increasingly frequent extreme heat and drought events is one of the greatest global challenges. Drought is the most influential environmental factor limiting crop yields for a growing world population and leading to significant economic losses. To safeguard agricultural production, it is crucial to develop high-yielding crops with improved water use efficiency. Oat (Avena sativa L.) is an emerging crop that offers significant benefits for human health and provides a nutrient-rich plant-based protein source with a low carbon footprint. However, oats are sensitive to drought and progress in breeding drought-resistant varieties, while urgently needed, is limited. The oat genome is characterised by its enormous size, high repeat content, and complex polyploid structure. Therefore, efforts to investigate complex agricultural traits such as drought stress resistance have long been hampered by the lack of genomics resources. Recently, a fully annotated reference genome sequence of Avena sativa became available, to which I contributed significantly, representing a fundamental breakthrough. RESIST will take on the challenging high-priority task of deciphering the molecular basis of drought stress resistance in oat, providing substantial solutions to secure yields of this emerging, healthy and versatile crop. To this end, RESIST will exploit innovations in plant genomics and in particular oat genetics, employ cutting-edge high-throughput phenotyping methods and establish gene editing protocols that provide an innovative basis for accelerated and targeted breeding of oats. RESIST provides the indispensable foundation for the development of better-performing oat varieties under drought conditions to secure oat yields as a sustainable source of a highly nutritious, healthy, protein-rich plant-based diet for billions of people.

Keywords: drought,oat,cereals,health,breeding barriers,gwas,phenotyping,genomics,comparative genomics,pangenomics,computational biology,transcriptomics,gene editing
Technology And Knowledge for European Open Fan Flight (TAKE OFF)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Aviation
Action type: Innovation actions
Partnership: CLEAN-AVIATION (JU-JTI)
Countries involved: France,Netherlands,Germany,Belgium,Italy,United Kingdom,Spain,Sweden,Poland
Call: Flight Test Demonstration of an Unducted Engine Architecture for SMR Aircraft (HORIZON-JU-Clean-Aviation-2025-01, 2025)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 139022721.03
EU funding (EUR): 99997426.15
Participants: 25
Project status: SIGNED

Reducing the environmental impact of Short-Medium Range (SMR) aircraft is a core priority of the Clean Aviation SRIA which aims to deliver enabling technologies ready for the next generation of SMR aircraft. Propulsion plays a pivotal role in this effort, with the Open Fan engine architecture emerging as the most promising solution to achieve environmental goals while supporting a timely Entry into Service by 2035. Building on the foundations laid by the Clean Aviation OFELIA and COMPANION projects, and leveraging synergies with national funding programmes, the TAKE OFF project gathers a broad European consortium to advance the RISE Open Fan technology demonstration announced in June 2021. The project will culminate in a full-scale, in-flight demonstration of an Open Fan engine, enabling a path to 30% reduction in fuel consumption at the aircraft level and validating TRL6 for the engine architecture. TAKE OFF is structured to cover the entire demonstration chain—from final engine design, assembly, and instrumentation, through aircraft platform integration and flight clearance, to post-flight data analysis and model calibration. TAKE OFF also paves the way for future certification of Open Fan products. Early and continuous engagement with airworthiness authorities, development of draft regulatory material, and application of the Certification Readiness Level (CRL) framework will ensure alignment with evolving regulatory needs. Fully aligned with the Clean Aviation roadmap under the SMR pillar, TAKE OFF provides essential propulsion-level evidence to guide system-level design and de-risk industrial investment. By delivering flight-proven data, refined digital tools, and matured technologies, TAKE OFF will reinforce Europe's leadership in sustainable aviation and accelerate the deployment of next-generation SMR aircraft.

Keywords: open fan demonstrator,performance,propulsion systems,flight test demonstrator,eis2035,airbus a380
Artificial intelligence for better opportunities and scientific progress towards trustworthy and human-centric digital environment (AI-BOOST)

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: Coordination and support actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Ireland,Italy,Portugal,Slovakia,Hungary
Call: Open innovation: Addressing Grand challenges in AI (AI Data and Robotics Partnership) (CSA) (HORIZON-CL4-2023-HUMAN-01-CNECT, 2023)
Start date: 2023-09-01
End date: 2027-02-28
Duration (months): 42.0
Total project cost (EUR): 4007000.01
EU funding (EUR): 3999500.0
Participants: 8
Project status: SIGNED

Artificial Intelligence and Robotics brings an immense potential across many sectors for improved standards of living, safer mobility, better healthcare, new jobs, or the personalization of public services. However, it presents huge challenges, especially regarding trust and performance reliability, that prevents the wide uptake of these technologies. There is an urgent need to establish a participatory methodology that can bring together industry, academia, and society to make noteworthy scientific advancements in key AI domains and to guarantee the widespread adoption of these advancements to enhance Europe's competitiveness. Open innovation competitions have been proven to be successful in promoting innovation, attracting new talent, and securing capital in various fields. However, the main problems with the European open innovation landscape include a) High Fragmentation: initiatives and organizations operating independently; b) Isolated initiatives: lack of collaboration between stakeholders; c) Lack of sustainable funding models for open innovation: challenge for the long-term viability of these initiatives and the results uptake; c) Lack of a sound impact measurement methodology: challenge to demonstrate the value of these initiatives to stakeholders. The goal of the AIBOOST project is to establish a prominent open challenge prize program that will serve as a benchmark for the European artificial intelligence (AI) community aimed at achieving these impacts: I1) Enabling scientific breakthrough in major AI areas by attracting the best research teams to join forces.; I2) Contributing to the effort of unlocking AI, robotics and data innovations uptake across several sectors and applications through collaboration and co-creation.; I3) Boosting AI talent uptake by EU industry engaging in the competitions students and new rising starts, I4) Increasing private investment in AI research providing attractive and sound approaches.

Keywords: open innovation challenges,co creation activities,competition
DYnamically MANaged self-cooling HPC Data Centers (DYMAN)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Spain,Belgium,Germany,Italy,Türkiye
Call: EIC Pathfinder Challenge: Clean and efficient cooling (HORIZON-EIC-2023-PATHFINDERCHALLENGES-01, 2023)
Start date: 2024-07-01
End date: 2027-06-30
Duration (months): 36.0
Total project cost (EUR): 4390875.0
EU funding (EUR): 4390875.0
Participants: 12
Project status: SIGNED

DYMAN targets the development of a completely new design of adsorption chillers based on the following innovations (1) New low-temperature adsorbents achieving high capacities at very low driving temperatures below 50 °C. (2) New type of adsorption heat exchangers made of 3D printed structures integrating the adsorption material into a porous structure, which reduces the internal thermal resistances and improvement of heat transfer by two-phase flow, enhancing the heat transfer rate and reducing the internal electricity consumption of the unit. Additionally the project aims to develop at second core concept to further develop an existing two-phase cooling system, for high-performance computing servers to handle thermal loads more efficiently from next-generation processors. Goals include increasing cooling capacities for processors generating high heat fluxes like the Nvidia H100 chip which produces 70 W/cm2. An additional objective is to recover 50% of waste heat from processors to generate additional cooling power through a sorption heat pump. Combining two-phase cooling directly with heat-powered cooling could significantly improve efficiency over conventional air or water-based cooling methods alone. The objective here is to 1)further develop the present two-phase cooling system to work in an efficient way in combination with the sorption heat pump (concept 1) 2) Development of new evaporator with new advanced surfaces for high heat transfer coefficients (3) Development of new condenser integrated with the heat adsorber of sorption heat pump. This is a crucial component that can improve the efficiency of the whole integrated system to recovery up to 50% of rejected heat. Furthermore, the cooling data center management is a complex engineering system with interactions with different components of the data centers. So, DYMAN proposes a new way of active management of the data center integrating the cooling system as part of the optimization of processor management

Keywords: data centres,ict,