Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hybrid Extended reAliTy (HEAT)

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: Research and Innovation actions
Countries involved: Italy,Ireland,Romania,Hungary,France,Spain,Belgium,Switzerland
Call: Next Generation eXtended Reality (RIA) (HORIZON-CL4-2023-HUMAN-01-CNECT, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 6993207.5
EU funding (EUR): 6993207.5
Participants: 16
Project status: SIGNED

Hybrid Extended reAliTy (HEAT) is born to pave the way for the next-generation distributed experiences by addressing major challenges to make those experiences that up to now could only be in our imagination: being realistically immersed (holo-ported) within real captured omnidirectional and navigable hyper-realistic 3D spaces, feeling their atmosphere, and sharing these experiences with others, regardless of their location. The aim of this proposal is to integrate immersive media technologies such as point cloud/holographic imaging, multi-sensorial media, Social VR in a multi-user, feedback-enabled communication system to provide the construction of compelling context-aware and embodied experiences for innovative hybrid XR applications, where remote users can experience a real captured environment through immersive VR, while in presence users can visualise and interact with the holograms of remote users integrated in the real environment through holographic rendering. The system will aim at facilitating the exploitation of agile (multi-sensory) 3D data acquisition techniques, enhancing performance while reducing technology costs. It will create a scalable communication pipeline embodying either encapsulation of different media from classical audio-video to multisensorial to holographic video or a combination of them, providing means for efficient and scalable encoding, processing, storage, (real-time) streaming and rendering. In such a way, the system will allow users to provide/exploit the features according to the acquisition/rendering system available. The project will provide well designed and fully tested scenarios in real-world environments for enhanced XR experiences: a blended learning, a modern theatre act, a music festival and an opera show. All pilot actions will ensure that GDPR and ethics are addressed for end-users (privacy and ethics by design methodology).

Keywords: xr,multi sensory,social,holography
Unraveling the regulation of crossover formation from its in vivo dynamics (COntrol)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 2558835.0
EU funding (EUR): 2558835.0
Participants: 1
Project status: SIGNED

The formation of crossovers during meiotic cell divisions is a crucial process to produce sperm and egg cells. This mechanism not only secures proper chromosome segregation but also enhances genetic diversity, playing an essential role in sexual reproduction and evolutionary adaptation. Disruptions in the regulation of crossover events can have detrimental effects on individual organisms and entire species populations. Thus, crossover formation is tightly regulated by both positive and negative pathways. Crossover assurance guarantees that each pair of homologs undergoes at least one crossover, facilitating proper segregation. Simultaneously, crossover interference prevents individual crossovers from occurring too closely within the genome, minimizing the risk of damage. However, the molecular mechanisms of these key regulatory processes and the functional coupling between them are still not understood. To dissect the regulatory mechanisms of crossover formation, we have achieved a groundbreaking visualization of this process in vivo, employing advanced imaging technology and AI-powered image analysis. Our approach includes real-time imaging and correlative super-resolution microscopy for temporal and structural analysis of key steps in crossover formation. In COntrol, I will now exploit these tools to acquire the quantitative data necessary to obtain a mechanistic understanding of crossover regulation. I will develop and rigorously test biophysical models through precisely targeted genetic perturbations, harnessing C. elegans' unique toolset of advanced real-time imaging and genetics. Furthermore, I will validate the uncovered mechanistic principles by examining their conservation in the vertebrate model system zebrafish. COntrol will thus shed light on one of the most fundamental questions in biology, namely how organisms distribute and shuffle genetic information among their progeny while maintaining the genetic integrity of future generations.

Keywords: meiosis,crossover formation,imaging,image analysis,super resolution microscopy
Circular and Connected Pavements for Carbon-Neutral and Digital Roads (CIRCOPAV)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Italy,Germany,France,South Africa,Sweden,United States,Netherlands,United Kingdom,Canada
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 2721038.4
EU funding (EUR): 2599884.0
Participants: 20
Project status: SIGNED

Roads are the arteries through which economic and social development pulses, and are one of the most important public services in the world. However, roadway assets are currently made of virgin and fossil-based materials and processes. Additionally, roads are subjected to ever-heavier traffic loads, relentless traffic concentrations and climate change, which will result in much quicker infrastructure failures, and in turn costs. Therefore, the aim of this DN is to create Circular and Connected Pavements for Carbon-Neutral and Digital Roads (CIRCOPAV) through a world-class international, inter-disciplinary and inter-sectorial training programme for ten doctoral candidates. CIRCOPAV DN will complete two key scientific objectives: 1) road network digitalisation to create smart and automated pavements, and 2) pavement sustainability to mitigate carbon footprint and ensure climate change resilience. These targets will be achieved through a consortium of 8 universities, 8 industrial companies and a road administration, across 8 countries and 3 continents, and combine the transportation, construction engineering, sustainability, electronics and data science sectors to create a new generation of creative, entrepreneurial and innovative leaders for the next generation of roads. Additionally, these goals fall directly in line with Horizon Europe’s goal to transition to a green and digital economy, the Green Charter and two Horizon Europe Missions. They will be achieved via intelligent and connected (e.g. sensors and IoT networks) and sustainable technologies (e.g. low emission materials and manufacturing and climate change resilient designs and materials). As a result, guidelines and prototypes will be developed up to TRL 6 and designed for exploitation in Europe and developing countries, and will be supported by open-days, open-access publications and seven international external advisory and dissemination entities.

Keywords: infrastructure,road,pavement,digitalisation,sustainability,circular economy,smart city,sensor,climate change resilience,carbon neutral,asphalt
Understanding Diagnosing and Early intervention in the Myeloid malignancy Continuum (UDEMC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Israel
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

As humans age, Hematopoietic Stem and Progenitor Cells (HSPCs) accumulate preleukemic mutations (pLMs), forming preleukemic HSPCs (preL-HSPCs) and leading to clonal hematopoiesis (CH). While the link between CH and myeloid malignancies is established, predicting progression remains elusive. The Shlush lab aims to enhance myeloid malignancies outcomes through early diagnosis and treatment. Still, it faces three gaps: 1) lacking advanced tools for diagnosis/risk stratification beyond mutations, 2) insufficient understanding of pLMs functional consequences, and 3) absence of targeted therapies against pLMs. To address these challenges, our proposed specific aims are as follows: Aim 1: Develop a novel diagnostic tool for myeloid leukemia using single-cell RNA sequencing (scRNAseq) of peripheral blood HSPCs from 1300 patients and replace bone marrow (BM) analysis in the future. Such a cohort will allow the discovery of novel mechanisms in leukemia and improved diagnostics. Aim 2: Create an in vitro assay to explore molecular and functional consequences of human pLMs at the single-cell level, considering self-renewal and changing microenvironments. Aim 3: Identify drugs targeting human preleukemic HSPCs through a high-throughput drug screen of human preL-HSPCs. This novel approach aims to pave the way for targeted early interventions. To make these goals feasible the Shlush lab made three major steps forward: 1) created the first reference map of peripheral blood (PB) HSPCs from 150 healthy individuals. 2) developed a dynamics bone marrow in a dish allowing the study of human preL-HSPCs. 3) developed the apoptosis score for detecting apoptosis in a small number of preL-HSPCs.

Keywords: clonal hematopoiesis,preleukemic mutations,drug screen,single cell rna sequencing,myeloid malignancies
Processing-in-memory architectures and programming libraries for bioinformatics algorithms (BioPIM)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Türkiye,France,Israel,Switzerland
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-05-01
End date: 2026-04-30
Duration (months): 48.0
Total project cost (EUR): 1966665.0
EU funding (EUR): 1966665.0
Participants: 8
Project status: SIGNED

Low cost, high throughput DNA and RNA sequencing (HTS) data is now the main workforce for various genomics and transcriptomics applications. HTS technologies have already started to impact a broad range of research and clinical use for the life sciences. These include, but are not limited to 1) large-scale sequencing studies for population genomics and disease-causing mutation discovery including cancer, 2) metagenomics, 3) comparative genomics, 5) transcriptome profiling, and 6) outbreak detection and tracking including COVID-19, Ebola, and Zika. HTS also impacts the whole health care system in several directions. Although there is still much room for improvement, sequencing of personal genomes is now becoming a part of preventive and personalized medicine as HTS technologies make it possible to 1) identify genetic mutations that enable rare disease diagnosis, 2) determine cancer subtypes therefore guiding treatment options, and 3) characterize infections and antibiotic resistance. Currently all genomics data are processed in energy-hungry computer clusters and data centers, which also necessitate the transfer of data via the internet, which also consumes substantial amounts of energy and wastes valuable time. Therefore there is a need for fast, energy-efficient, and cost-efficient technologies that enable all forms of genomics research without requiring data centers and cloud platforms. In this project we aim to leverage the emerging processing-in-memory (PIM) technologies to enable such powerful edge computing. We will focus on co-designing algorithms and data structures commonly used in bioinformatics together with several types of PIM architectures to obtain the highest benefit in cost, energy, and time savings. BioPIM will also impact other fields that employ similar algorithms. Our designs and algorithms will not be limited to cheap hardware, and they will impact computation efficiency on all forms of computing environments including cloud platforms.

Keywords: processing in memory,algorithms,string search,high throughput sequencing,nanopore sequencing
Advancing Greencare in Europe: an integrated multi-scalar approach for the expansion of nature-based therapies to improve Mental health Equity (GreenME)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Resilient, inclusive, healthy and green rural, coastal and urban communities
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Sweden,United Kingdom,Germany,Poland,Belgium,United States
Call: Developing nature-based therapy for health and well-being (HORIZON-CL6-2022-COMMUNITIES-02-two-stage, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 4338637.5
EU funding (EUR): 4338636.5
Participants: 22
Project status: SIGNED

GreenME aims to identify ways in which effective nature-based therapy and a broader green care framework can be scaled-up to improve adult mental health and wellbeing equity while contributing to multiple socio-ecological co-benefits. To that end, over 4 years, GreenME’s approach is to diagnose, to increase scientific evidence on the mental health and wellbeing benefits of green care and to empower green care actors to, finally, increase the use of nature-based therapy and its integration within a multi-scalar green care framework to ultimately promote just climate resilient and sustainable healthy communities. GreenME understands green care as a three-scale continuum from nature-in-everyday-life (e.g. the existence of green and blue infrastructure for viewing and walks) to nature-based health promotion (the promotion of active interaction with nature such as gardening and conservation) to nature-based therapy (the provision of treatment for individual patients). We will use a transdisciplinary and mixed-methods approach to identify opportunities, barriers, causal pathways and patterns of (in)equitable distribution of mental health and wellbeing benefits from green care in study countries. We will then co-create solutions and guidelines including a EU framework and country-specific schemes for bolstering green care along with an identified community of green care actors, and design a training program for nature-based therapy providers informed by empirical evidence. The evidence generated will offer replicable partnership models and guidelines to design impactful cross-sectorial green care systems, with national healthcare systems and local governments amongst the beneficiaries, leading to a higher uptake of nature-based therapy and a general reframing of the green infrastructure functionality.

Keywords: nature based therapy,nature based health promotion,nature in everyday life,health equity
Real time high sensitive food allergen sensor (RESAS)

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: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-03-01
End date: 2025-02-28
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 2
Project status: CLOSED

Food allergies affect around 26 million of Europeans and 32 million of Americans. The severity of the allergic reaction may vary from less severe symptoms such as hives and digestive problems, to a quickly progressing and potentially life-threatening anaphylactic shock. Nowadays, food allergy is an incurable condition, so the most important preventive measure is the complete abstinence from the allergen. Existing allergen detection methods are slow, cumbersome, costly, and most of them are limited to work in a lab environment. The RESAS project’s goal is to fabricate a device able to sense extremely low concentrations of food allergens within minutes. This is achieved by combining an ultra-high sensitive biosensor substrate, an integrated optical transducer and an electrical signal processing unit. The proposed kind of sensor on the basis of integrated optics enables small size (5 cm3), high repeatability and instant response, as well as potentially low-cost and mass production. This is achieved thanks to the RoF technology and the signal analysis of the output laser of the SPR in the electrical domain, which reduces instrumentation demands with instant allergen detection and great biosensing sensitivity. Furthermore, the RESAS device has a removable biosensing substrate that can be replaced after use, allowing users to operate RESAS several times and for as many types of food allergens as needed. This approach of interchangeable biosubstrates tackles one of the major limitations of most current biosensing technologies, which can be used only once and are restricted to one type of food allergen. The RESAS project will significantly impact the food industry, as our food allergen testing method promises to be quick, effective, and inexpensive. This may lead politicians to demand a more rigorous testing regime, greatly improving food safety. Finally, a new class of portable test devices for millions of allergists and end-users will be created.

Keywords: food allergen sensor,photonics,radio over fibre,biosensor
Scalable Knowledge-Aware Image Caption Generation (ROCAP)

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: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-01-01
End date: 2024-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Image captioning is the process of mapping a visual scene to a short textual description. Automating this process is vital for many computer applications, including information retrieval from visual data, computerized assistance to visually impaired people, and automatic tour guiding. State-of-the-art captioning systems are limited by their heavy reliance on visual contents. As a result, generated captions are often purely descriptive and miss important information that is needed in order to understand the image. This PoC project develops a captioning tool that will be useful for knowledge-intensive areas like Geography, Radiology or Art History, where captions need to include information that cannot be extracted from images alone. It builds on results of the ROCKY ERC AdG project, whose innovative captioning system integrates external knowledge into the captioning process. This allowed the ROCKY project to employ standard methods of image captioning, with a deep convolutional neural network (CNN) for image understanding and a Transformer network for language generation. Thanks to the external knowledge integration, the ROCKY captioning prototype gets substantially closer to human-generated captions than standard captioning systems that do not take external knowledge into account. This PoC project will use this result by implementing a knowledge-aware captioning system that is scalable for practical purposes. The project examines the feasibility of the ROCKY captioning method for Medical Imaging and Art History and implements it for one of these domain as a use case. The project will engage with experts in these domains, specify a practical captioning system, implement it as an open-source tool and test it in realistic situations. The anticipated value of this effort is in the development of a general method that would allow one open-source platform to be multi-purpose, thereby cost-effectively adjustable to needs of different domains.
High-dimensional probability in ergodic theory and representation theory (HDPER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2497037.0
EU funding (EUR): 2497037.0
Participants: 1
Project status: SIGNED

This project begins with the interaction between (i) convergence and limits for labeled bounded-degree graphs and (ii) the This project begins with the interaction between (i) convergence and limits for labeled bounded-degree graphs and (ii) the ergodic theory of possible limit processes over infinite graphs, regarded as stationary processes for infinite groups of symmetries. It will deliberately focus on foundational issues that cannot be addressed using the most standard tools: models that are at ‘low temperature’, so mean-field and related methods do not provide good approximations; and limiting graphs that are not ‘amenable’, meaning that they do not allow approximations by decomposing into finite pieces with only ‘small’ interactions between them. The first goal of this project is to uncover new approaches that draw on notions of convergence for sparse graphs, conjectures about the behaviour of high-dimensional graphical models in statistical physics, and the ergodic theoretic study of limit processes via sofic entropy and related concepts. To shed new light beyond the reach of established techniques, the project will take inspiration from an analogous emerging theory where some of the same challenges can be addressed. This theory studies unitary matrices (rather than labeled graphs) and limiting unitary representations (rather than infinitary stochastic processes). The PI has recently been developing an analog of sofic entropy in this new setting. Several open problems about graph convergence admit analogs about tuples of unitary matrices, and the PI has already solved some of these using ideas from random matrix theory or operator algebras. The second goal of this proposal is to grow this new chapter in random matrix theory, where many further questions are now within reach. The third is to transplant the newly-discovered methods for tuples of matrices back to bounded-degree graphs to make progress towards open problems about graph convergence and processes.

Keywords: ergodic theory entropy non amenable groups graph convergence gibbs measures graphical models random graphs random matrices unitary representations