Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
URBAN simulation for AIr quality and heat Resilience strategies (UrbanAIR)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Technology and infrastructures
Action type: Research and Innovation actions
Countries involved: Netherlands,Norway,Germany,Belgium,France,Switzerland,Spain,Cyprus,Sweden,United Kingdom,Ireland
Call: New digital twins for Destination Earth (HORIZON-INFRA-2024-TECH-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 14821569.08
EU funding (EUR): 14266198.83
Participants: 20
Project status: SIGNED

The goal of UrbanAIR is to develop a new digital twin that supports decision-makers in urban areas to deal with urban design dilemmas in atmospheric heat and air quality to maximise the health and socio-economic well-being of its citizens affected by climate change. It will provide critical tools for climate adaptation and hazard control through urban design and planning, including very high-resolution model components of the urban atmosphere. UrbanAIR is designed by a consortium that covers the full value chain to revolutionize digital twin platforms by starting from the perspective of the end user. Through co-creation with the end users and a balanced evaluation of the decision criteria, the overall objective of UrbanAIR is to yield a dynamic, user-friendly infrastructure integrated into the Destination Earth infrastructure that empowers municipalities and industries to face urgent urban climate risks. The scales in the atmospheric models in UrbanAIR cover the full range from the regional to the neighbourhood level. This innovative multiscale approach is achieved through the development of software interfaces for the modular coupling of atmospheric models. AI-based emulators allow for the acceleration of these computationally expensive models, which, together with the application of advanced data assimilation techniques, allows the quantification of risks and uncertainties for the UrbanAIR scenarios. Corresponding behavioural models simulate the human response to changes in climate and associated hazards. The resulting scenarios form the input to the objective evaluation of the criteria for decision-making. With these science-based tools for scenario simulation of natural and human behaviour, reliable risk assessment, and balanced decision analysis, UrbanAIR will develop tools and the infrastructure to support decision-makers in cities. This will pave the way for effective climate adaptation by developing tools for a safer, healthier, and more resilient future.

Keywords: atmospheric simulation,urban climate resilience,urban heat,urban air quality,uncertainty quantification,digital twins
IMPlementing geriatric assessment for dose Optimization of CDK 4/6-inhibitors in older bReasT cAncer patieNTs (IMPORTANT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Research and Innovation actions
Countries involved: Sweden,Greece,Norway,Spain,Ireland,Switzerland,United Kingdom,Italy,Finland,Netherlands,Belgium
Call: Pragmatic clinical trials to optimise treatments for patients with refractory cancers (HORIZON-MISS-2022-CANCER-01, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 5415012.5
EU funding (EUR): 5415012.5
Participants: 21
Project status: SIGNED

Current evidence from both randomized trials and real-world evidence studies suggests that older breast cancer patients derive clinical benefit from the addition of CDK 4/6-inhibitors to endocrine therapy but with higher risk for adverse events and treatment discontinuation compared to younger patients. The IMPORTANT project will design and conduct a pragmatic clinical study with a decentralised approach for older patients with advanced breast cancer aiming at high level of evidence (level I) with multi-layer results that can enable changes in current clinical practice. This study will be conducted across 6 (six) EU countries, and will include more than 500 female and male patients. The project will also perform a series of analyses over a) a wide range of clinical-relevant primary and secondary endpoints targeting to contribute to current clinical practice and b) the implementation of specific strategies aiming at more individualized treatment and follow-up approaches to a clinical trial setting that highly resembles real-world setting due to the trial's pragmatic design. The project will be developed in 60 months by a competitive consortium of 19 partners from 11 countries, which corresponds to a well-balanced structure, involving clinical sites, SMEs, universities and patient advocacy organizations. Despite the great diversity of entities within the proposal, IMPORTANT partners bring state-of-the-art complementary skills ensuring the ability of the consortium to successfully complete the proposed work.This action is part of the Cancer Mission cluster of projects on ‘Diagnosis and treatment’.

Keywords: geriatric oncology,breast cancer,male breast cancer
A theory and model of the neural transformations mediating human object perception (TRANSFORM)

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-2023-COG, 2023)
Start date: 2025-04-01
End date: 2030-03-31
Duration (months): 60.0
Total project cost (EUR): 2291855.0
EU funding (EUR): 2291855.0
Participants: 1
Project status: SIGNED

In the blink of an eye our brain rapIn the blink of an eye our brain rapidly transforms the photons hitting our retina into a rich and detailed percept of the world as consisting of objects. By knowing what the objects are, and in what configuration these objects appear to us, we understand the meaning of the visual world around us. Yet, despite intense research how neural transformations enable rich object perception remains unclear. The overall goal of the research program TRANSFORM is to provide an explanatory theory of the neural transformations mediating rich object perception, and a predictive quantitative model embodying this theory. Towards this goal TRANSFORM will provide three strong and novel constraints for theory and model building. First, TRANSFORM will reveal the neural transformations underlying visual object perception in the mature brain, providing the neural constraint. Second, it will unravel the link between the neural transformation and object-related behaviour, providing the behavioural constraint. Third, it will clarify the developmental trajectory of neural transformations underlying visual object perception from infancy into adulthood, providing the developmental constraint. For maximal efficiency and power in unified theory formation and model building, TRANSFORM will employ an integrated, interdisciplinary research strategy that combines i) large-scale non-invasive brain imaging to capture neural transformations in space and time with unprecedented depth, ii) advanced mathematical analysis to reveal the geometry of the transformations, and iii) computational modelling using deep neural networks to build a predictive, quantitative model of those transformations. Through this orchestrated effort TRANSFORM will provide the empirical pieces of evidence for a new theory and model of the neural transformations mediating our rich everyday experience of object vision and change the way we think about and investigate human vision and cognition.

Keywords: object perception,fmri,eeg
Glycomics of Residues from Plant-Based Beverages for Microbiota (GLYCO-RESBIOTA)

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: Chemistry
Countries involved: Spain,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2029-08-31
Duration (months): 36.0
Total project cost (EUR): 420966.72
EU funding (EUR): 420966.72
Participants: 2
Project status: SIGNED

The growing concern over the environmental impact caused by food industry waste, particularly residues from the production of plant-based beverages, has emphasized the need for more sustainable approaches. Despite the rapid expansion of the plant-based beverage market, most of the production residues are not adequately valorized, leading to a significant loss of fiber-rich carbohydrates that could have important health benefits. Additionally, the unique characteristics of the ileum microbiota and its interaction with these carbohydrates have not been fully investigated, primarily due to the technical challenges of sampling from this region. The GLYCO-RESBIOTA project aims to explore how fiber-rich residues from the production of plant-based beverages (soy, pea, and oat) can be digested in the ileum and exert prebiotic effects by modulating the ileal microbiota. The main objective is to apply advanced glycomics profiling techniques to characterize these carbohydrates and study their impact on ileal digestion using dynamic simulation models. Over three years, this project will be carried out in two phases: an initial phase at the University of California, Davis (USA), where the researcher will receive training in advanced glycomics techniques, and a second phase at the Spanish National Research Council (CSIC), where simulated digestion and metatranscriptomic studies will be implemented. The results of the project will contribute to understanding the interactions between carbohydrates and microbiota and offer sustainable solutions to reduce the environmental impact of industrial residues while improving gut health. This project has the potential to create an innovative glycomics platform in Europe, facilitating the study of carbohydrates in food and their relationship with gut health, aligning with the EU’s 2030 sustainability goals.

Keywords: carbohydrates,microbiota,plant based beverages,glycomis,mass spectrometry
Multi-functional, multi-material magnetic components and structures for electrification (MultiMag)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Research and Innovation actions
Countries involved: Finland,France,Germany,Spain,Norway,United Kingdom,Italy,Romania,Cyprus
Call: Functional multi-material components and structures (RIA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2022-12-01
End date: 2025-11-30
Duration (months): 36.0
Total project cost (EUR): 4645765.5
EU funding (EUR): 4645765.5
Participants: 13
Project status: SIGNED

Electric machines and drives, including various types of electric motors, play an ever-increasing role in the way of making Europe the first climate neutral continent in the world. In order to achieve a breakthrough in the field of energy efficient electric motors, novel approaches are needed: high performance sustainable materials and multi-material manufacturing technologies suitable for complex geometrics and capabilities to design and simulate structures and components based on those. The ambitious goal of MultiMag is to develop novel design tools, high performance materials and multi-material additive manufacturing (MM-AM) processes, hence, to manufacture ready assembled lightweight components for electric machines and leading to better performing machines, improved energy efficiency and shorter lead times. After use, the components can be dismantled, and the materials recycled effectively. MultiMag takes the full advantage of multi-material additive manufacturing. Stacked rotor and stator structures, combining dissimilar magnetic and electric insulating materials are developed, manufactured and validated to ensure mechanical, thermal, electrical and magnetic performance. Internal structures, enabling more efficient cooling, are studied and designed. Achieving ambitious objectives of MultiMag requires a holistic approach and innovations in all sectors, namely in design, materials, manufacturing, use and end-of-life. Each of these vital areas are addressed by MultiMag activities. We will develop a framework and specific toolbox for addressing complex design challenges, which are multi-material, multi-functional and multi-physics. Evaluation and development of matching material properties enabling to join dissimilar materials using AM processes is one of the key focuses of MultiMag. MultiMag approach requires also MM-AM processes to be developed further, as well as recycling of REEs.

Keywords: additive manufacturing,multi material,magnetic materials,electric machines,ree,recycling,multi physics design,topology optimization
A distributed data-mining software platform for extreme data across the compute continuum (EXTRACT)

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
Countries involved: Spain,France,Switzerland,Italy,Finland,Israel
Call: Extreme data mining, aggregation and analytics technologies and solutions (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-03-31
Duration (months): 39.0
Total project cost (EUR): 4997875.0
EU funding (EUR): 4997875.0
Participants: 13
Project status: SIGNED

Data has become one of the most valuable assets, driving the digital transformation across many sectors. Current data mining solutions are optimized to deal with specific data requirements, but fail to cope as the data characteristics become extreme. There is therefore an urgent need for novel and holistic approaches to enable the development, deployment and efficient execution of data mining workflows across a heterogeneous, secure and energy-efficient compute continuum, while fulfilling the diverse extreme data characteristics. To fill this technological gap, EXTRACT will deliver a data-driven open-source software platform integrating the most relevant technologies, to facilitate the development of trustworthy, accurate, fair and green data mining workflows able to generate high-quality actionable knowledge. The EXTRACT platform will improve the complete lifecycle of extreme data mining workflows, significantly enhancing performance, energy-efficiency, scalability and security, while fulfilling the extreme data characteristics in a holistic way. Moreover, multiple computing technologies, from edge to cloud to HPC, will be integrated into a unified and secure compute continuum. Specifically, the platform will feature enhanced data infrastructures and AI & big-data frameworks, novel data-driven orchestration and distributed monitoring mechanisms, a unified continuum abstraction and cybersecurity and digital privacy across all software layers. The EXTRACT platform will be validated in two real-world use-cases with different extreme data requirements: 1) a Personalized Evacuation Route service, integrating data from the European data sources, Copernicus and Galileo, with 5G localization signals and smart city IoT sensors for civilian-centric crisis management; and 2) Transient Astrophysics with a SKA pathfinder, processing extreme data from 2000 radio-telescopes for the real-time assessment of solar activity, generating knowledge for further scientific exploitation.

Keywords: extreme data interoperable compute continuum data infrastructure ai and big data workflows data driven orchestration edge to cloud to hpc european data sources cybersecurity energy efficiency
BioExcel Centre of Excellence for Computational Biomolecular Research (BioExcel-3)

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,Germany,Spain,Norway,Finland
Call: Centres of Excellence for supporting supercomputing applications for Science and Innovation (HORIZON-EUROHPC-JU-2021-COE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 5873754.5
EU funding (EUR): 2936877.26
Participants: 9
Project status: SIGNED

Life Science is turning into a data-driven and HPC dependent research field. BioTeam/Hyperion’s 2022 estimates show that 95% of Life Science projects are being dependent on HPC. The rapid response to Covid-19 showed how an EU collaboration between pharma industry, Life Science researchers and supercomputing centres resulted in several newly identified hits now undergoing clinical trials. Life Science is already delivering actual drug candidates within a year by using HPC in general, and BioExcel codes in particular (1000s of papers citing GROMACS or HADDOCK for SARS-CoV-2 simulations). The Centre of Excellence for Computational Biomolecular Research (BioExcel) was established in 2015, and funded again in 2018, to help accelerate this development. The BioExcel-3 strategy to achieve significant impact relies on (i) ensuring that the most widely used European codes provide high performance, efficiency, scaling, reliability and quality to meet academic and industrial needs; (ii) identifying user needs to prioritise development of features with high scientific impact & performance/porting requests for deployment on EuroHPC resources; (iii) providing state-of-the-art training program for next-generation EU workforce on exploitation of ensemble algorithms, AI approaches, and convergence of HPC, HTC and HPDA; (iv) being the preferred EU partner for international organisations; (v) providing sustainable business paths for companies that need commercial support or want to fund development of specific features; and (vi) operating under an open governance model that provides transparency for the community and EC to be confident BioExcel makes the right priorities based on user and HPC needs. BioExcel-3 will grow and sustain the Life Science HPC community in Europe. Our success will be measured by our ability to support codes and train scientists who produce almost 10,000 scientific papers and numerous industrial projects every year.

Keywords: biomolecular life science,drug discovery,biotechnology,exascale,hpc,automation and data integration
The scope for sexual selection in plants (SEXIPLANTS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1499940.0
EU funding (EUR): 1499940.0
Participants: 1
Project status: SIGNED

The SEXIPLANTS project aims at providing a comprehensive empirical test for plants of the sexual selection theory, and decipher the mechanisms underlying sexual selection in plants. Sexual selection, acting through competition for the access to mates and their gametes, successfully explained numerous reproductive strategies in animals. Sexual selection typically emerges when females produce fewer numbers of larger gametes than males – a situation called anisogamy – which fosters competition among males for accessing the rare ovules. Sexual selection theory should thus be universally valid for all sexually reproducing anisogamous organisms encompassing plants. While the idea that sexual selection acts on plants is largely admitted, most predictions of the sexual selection theory remain untested in the plant kingdom. With a multi-method approach, including experimental evolution in the hermaphroditic plant Brassica rapa and comparative analyses in angiosperms, the SEXIPLANTS project asks: Q1. Testing the theory. Are fundamental predictions of sexual selection theory valid in the plant kingdom? We will empirically test key predictions of sexual selection theory regarding both male-male competition and female choice processes, and their demographical and genetic consequences. Q2. Specificity. Does the action of pollinators introduces specificity in the operation of sexual selection? We will empirically test how pollinator behaviour and density can alter sexual selection. Q3. Perception. Can plants perceive and respond to variation in their mating opportunities? We will empirically test whether plants can plastically adjust the reproductive strategies to variation in competition for access to mates. SEXIPLANTS will contribute to the development of a uniform and integrative theory of sexual selection valid for sexually-reproducing organisms including plants, and potentially reform our conceptual understanding of plant reproduction, with implications for conservation.

Keywords: sexual selection,male male competition,female choice,pollen pistil interactions,condition dependence,pollinator abundances,mating success,experimental evolution,paternity analysis,quantitative genetics