Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Human Centered Technologies for a Safer and Greener European Construction Industry (HumanTech)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Countries involved: Germany,Greece,Spain,Italy,Norway,Netherlands,Austria,Japan,Belgium,Switzerland,Ireland
Call: Breakthrough technologies supporting technological sovereignty in construction (RIA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 9066775.89
EU funding (EUR): 9066775.89
Participants: 23
Project status: SIGNED

The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient industry. To address these challenges adequately, HumanTech proposes a human-centered approach, involving breakthrough technologies such as wearables for worker safety and support, and intelligent robotic technology that can harmoniously co-exist with human workers while also contributing to the green transition of the industry. Our aim is to achieve major advances beyond the current state-of-the-art in all these technologies, that can have a disruptive effect in the way construction is conducted by a new generation of highly skilled, male and female construction workers and engineers, working in a safe and rewarding digitally enabled environment. These advances will include: Introduction of robotic devices equipped with vision and intelligence to enable them to navigate autonomously and safely in a highly unstructured environment, collaborate with humans and dynamically update a semantic digital twin of the construction site. Visual information capturing will extend to multispectral imaging enabling detection of material composition of built structures besides geometric characteristics. Intelligent unobtrusive workers protection and support equipment ranging from exoskeletons triggered by wearable body pose and strain sensors, to wearable cameras and XR glasses to provide real-time worker localisation and guidance for the efficient and accurate fulfilment of their tasks. An entirely new breed of Dynamic Semantic Digital Twins (DSDTs) of construction sites simulating in detail the current state of a construction site at geometric and semantic level, based on an extended BIM formulation encompassing all relevant structural and semantic dimensions (BIMxD). BIMxDs will act as a common reference for all human workers, engineers and autonomous machines.

Keywords: digital twin,robotics,wearables,human robot collaboration,scanning,demolition robots,training,worker support,bim,standardization,artificial intelligence,3d sensing,machine learning
Coupling biogeochemical analysis, environmental DNA and ecological network analysis of sediment cores to reconstruct environmental history and ecosystem changes in Posidonia oceanica meadows. (POSIDONIArXiv)

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: Environment and Geosciences
Countries involved: Spain,Denmark,Switzerland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 3
Project status: SIGNED

POSIDONIArXiv combines multiple disciplines to reconstruct ecosystem processes, dynamics and change through time in Posidonia oceanica meadows in Spain. P. oceanica is an iconic seagrass in the Mediterranean Basin, forming extensive meadows and dense mats which work to stabilise sediments and form a millenary sedimentary archive while providing habitat for an abundance of marine life. P. oceanica meadows contribute to global change mitigation and adaptation by sequestering pollutants including CO2, and reducing coastal erosion, while enhancing biodiversity by providing habitat and breeding areas for marine life including commercial species. However, seagrasses in general and P. oceanica in particular, are in decline due to anthropogenic disturbances such as climate change, pollution and land-use change. These meadows sustain the livelihoods of coastal populations and are located in coastal areas throughout the Mediterranean. In particular, P. oceanica inhabits sheltered embayments that also constitute key areas of settlement by ancient civilisations until present. POSIDONIArXiv combines environmental DNA, biogeochemical analysis and ecological network analysis to understand the historical changes in P.oceanica meadows. Firstly, sediment cores will collected at sites of high and low anthropogenic disturbance and biogeochemical analysis will be conducted to determine key periods of human or natural disturbance. This will inform sampling and eDNA analysis to reconstructed historical changes in biodiversity at these sites. Furthermore, the eDNA data will be used for ecological network analysis over millennia timescales to understand biodiversity change and identify mechanisms of resilience in this environment. Overall, POSIDONIArXiv will strengthen management and restoration targets for P.oceanica environments and contribute key knowledge to historical reconstructions of whole ecosystems.

Keywords: paleo archive,environmental dna,biogeochemical
Cerebellar ataxia spatiotemporal transcriptomics atlas (AtaxAtlas)

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: France,Switzerland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-08-15
End date: 2026-08-14
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 2
Project status: SIGNED

Inherited Cerebellar ataxia (CAs) is a large and multifaceted group of rare genetic neurodegenerative diseases affecting mainly the cerebellum and its connection, leading to the loss of coordination and ataxia phenotype. Purkinje neurons (PN) are crucial cells for cerebellar functionality, but also very sensitive neurons. Indeed, they were found as the most vulnerable cerebellar neurons in many CAs, both in mouse and human samples. Although CAs show high genetic heterogeneity and have different disease-genes, they converge into similar phenotypic features and recent papers highlighted common deregulated key pathways. The current research landscape, indeed, points out towards the identification of calcium, glutamate and inositol phosphate signaling as frequently dysregulated. However, there is yet no comprehensive analysis of degenerative mechanisms, in particular in PNs, that could prioritize molecular targets for therapeutic development. Our metanalysis readouts suggest converging pathophysiological points across different CAs, which so far remain poorly understood and need to be characterized. To this aim in this application, we propose to investigate in depth cerebellum CA signature taking advantage of cutting-edge single-cell profiling approaches in two flagship CA mouse models (SCA7, ARCA2) at two different disease stages. The combination of transcriptomics (single-nucleus RNA sequencing, probe-based spatial transcriptomics) and protein validation will help us to build a cerebellum atlas in the context of CA. The goal will be reached through the effort and synergism of a multi-disciplinary task force comprising biological, -omics approaches and computational expertise. The results will be presented and communicated during international conferences, via social media and, finally, published in peer-reviewed journals in order to reach a broad scientific community. Also, the data will be used to inform lay audience through the collaboration with patient association

Keywords: cerebellar ataxia,cerebellum,purkinje neuron,transcriptomics,gene modulation,disease mechanisms,disease treatment
Enabling efficient cell engineering leaving gene-expression BURden OUT for cell therapies and biopharmaceutical industry (BURnOUT)

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: Italy
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-09-01
End date: 2026-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Mammalian cell engineering has emerged as a new ground-breaking modality for the development of cell based therapies to treat several hard-to-cure diseases, including cancer (T cell-based immunotherapies) and to produce molecule with diagnostic and therapeutic applications such as monoclonal antibodies (mAbs), that are now a dominant product class in the biopharmaceutical industry. However, the pipeline for efficient design-test-commercialization of the product is long and expensive, even more so when cells must be engineered with two or more transgenes, an increasing need in T cell-based therapies or drug production (e.g., cells engineered to produce enzyme and co-enzymes, or antibody cocktails). At the core of the problem is the competition for a finite number of intracellular resources, transcriptional and translational, that cause an unbalanced expression of products thus hampering the therapeutic effect. BURnOUT is an Artificial Intelligence and Machine Learning based software that will provide, in an automated manner, paired gene sequence optimisation to accelerate the process of mammalian cell engineering. BURnOUT will be validated in two different settings: one for the biopharmaceutics (engineered CHO cell lines for antibodies production) and one for cell therapy (engineering T cells for multiple CARs expression). The successful validation of the technology will be of trans-and multi-disciplinary interest and will have the goal of targeting the amplest variety of markets in Life Science, from AI to synthetic biology for cell and gene therapies and global cell technologies for drug industry. We envision that BURnOUT will respond to current strategic societal needs and challenges such as reduced costs of biopharmaceutics, and more effective treatment for cancer.
Hybrid endoscope for esophageal in vivo histology and histochemistry (ESOHISTO)

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: Austria,Germany,United Kingdom,France
Call: EIC Pathfinder Open (HORIZON-EIC-2024-PATHFINDEROPEN-01, 2024)
Start date: 2025-02-01
End date: 2029-01-31
Duration (months): 48.0
Total project cost (EUR): 3046127.5
EU funding (EUR): 3046127.5
Participants: 4
Project status: SIGNED

ESOHISTO proposes a radically new scientific concept to revolutionize disease research, diagnosis and treatment by real-time imaging of 3D organization of diseased cells, cell-cell and cell-matrix interactions, and their biochemical events in large living human tissue/organs. This transformative vision of 'in vivo histology and histochemistry' is not yet feasible for most human organs. However, GI mucosa, the shallow lining of GI tract where many GI cancer originates, is a unique tissue to implement the ambitious vision of ESOHISTO by developing disruptive endosocpic technologies to provide a long-awaited solution to the insufficient diagnosis and early detection of GI cancers. The landscape changing ability of ESOHISTO is attributed to its key invention of a volumetric-projection confocal laser endomicroscopy (VP-CLE) and a multimodal approach to complement VP-CLE with advanced imaging methods including optical coherence tomography (OCT) and optoacoustic mesoscopy (OPAM). The novel volumetric projection method allows VP-CLE to provide 3D cellular features and molecular profiles at high speed and without any mechanic parts in the distal endoscope. OCT and OPAM delivers 3D morphology and pathophysiology of GI mucosa with an imaging depth far exceeding microscopy. The combination of VP-CLE, OCT and OPAM in a miniaturized endoscope heralds a paradigm-shifting GI cancer diagnosis scheme by replacing insensitive white light endoscopy and biopsy with comprehensive 3D OCT/OPAM inspection to identify subtle lesions and following 'zoom-in' cellular/molecular vision through VP-CLE to complete in vivo diagnosis. With its prospect of unprecedented 'in vivo histology and histochemistry' for GI cancer diagnosis and early detection, ESOHISTO is able to leverage European investment and know-how and strengthen EU citizens' well-being and economic growth by leading the market position in future GI endoscopic imaging.

Keywords: optical histology,gi cancer diagnosis,oesophageal cancer diagnosis,cancer early detection,multimodal optical imaging
Modelling Text as a Living Object in Cross-Document Context (InterText)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-04-01
End date: 2028-03-31
Duration (months): 60.0
Total project cost (EUR): 2499721.0
EU funding (EUR): 2499721.0
Participants: 1
Project status: SIGNED

Interpreting text in the context of other texts is very hard: it requires understanding the fine-grained semantic relationships between documents called intertextual relationships. This is critical in many areas of human activity, including research, business, journalism, and others. However, finding and interpreting intertextual relationships and tracing information throughout heterogeneous sources remains a tedious manual task. Natural language processing (NLP) fails to adequately support it: mainstream NLP considers texts as static, isolated entities, and existing approaches to cross-document understanding focus on narrow use cases and lack a common, theoretical foundation. Data is scarce and difficult to create, and the field lacks a principled framework for modelling intertextuality. InterText breaks new ground by proposing the first general framework for studying intertextuality in NLP. We instantiate our framework in three intertextuality types: inline commentary, implicit linking, and semantic versioning. We produce new datasets and generalizable models for each of them. Rather than treating text as a sequence of words, we introduce a new data model that naturally reflects document structure and cross-document relationships. We use this data model to create novel, intertextuality-aware neural representations of text. While prior work ignores similarities between different types of intertextuality, we target their synergies. Thus, we offer solutions that scale to a wide range of tasks and across domains. To enable modular and efficient transfer learning, we propose new document-level adapter-based architectures. We investigate integrative properties of our framework in two case studies: academic peer review and conspiracy theory debunking. InterText creates a solid research platform for intertextuality-aware NLP crucial for managing the dynamic, interconnected digital discourse of today.

Keywords: unstructured text analysis datasets and resources in nlp cross document understanding document representation learning novel task definitions in nlp
Counting (with) homomorphisms (CountHom)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Denmark,Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-04-01
End date: 2028-03-31
Duration (months): 60.0
Total project cost (EUR): 1500000.01
EU funding (EUR): 1500000.0
Participants: 2
Project status: SIGNED

This project addresses the computational complexity of counting problems in graphs; such problems ask to compute the number of certain structures rather than merely deciding their existence. Counting problems find applications in diverse areas like network analysis, machine learning, probabilistic databases, and statistical physics. They are linked to fundamental questions in complexity theory and give rise to algorithmic breakthroughs for decision problems. The proposed project will go beyond the state of the art in computational counting by building bridges between algorithms/complexity and the mathematical theory of graph homomorphisms, which are structure-preserving maps between graphs. Already starting from the 1960s, Lovász and others showed that homomorphism numbers between graphs tie together disparate mathematical areas—similarly, the PI observed in the past 5 years that the computational problem of counting homomorphisms unifies a range of problems in computer science that were previously studied in isolation. This connection allows us to approach fundamental questions in parameterized and fine-grained complexity related to the complexity of counting small patterns in large graphs, which were out of reach for more combinatorial approaches. Secondly, it allows us to revisit problems in classical counting complexity from a new angle, especially for partition functions in discrete physical systems, with the aim of simplifying, unifying and extending known results. Thirdly, homomorphism counts give a surprising novel viewpoint on questions in algebraic complexity surrounding the “permanent versus determinant” problem, an algebraic variant of the “P versus NP” problem.

Keywords: theoretical computer science,algorithms,counting complexity,parameterized complexity,algebraic complexity,homomorphisms,subgraphs,partition functions,perfect matchings,permanent,determinant
Physiological Role of Nonsense-Mediated Decay in Herpes Simplex Virus Infection and Pathogenicity (PHIDELITY)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2025-12-31
Duration (months): 39.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: SIGNED

Virus infections cause a major healthcare burden worldwide. The neurotropic human herpes simplex virus 1 (HSV-1) establishes life-long latent infection in neurons, from which it frequently reactivates to disseminate within the population. Clinical complications caused by HSV-1 infections range from mild (herpes labialis) to sight- (keratitis) and even life-threatening diseases (encephalitis). Prevention and treatment of HSV-1 infections are considered a top priority by the WHO. However, development of vaccines and improved therapeutic approaches is hindered by our incomplete understanding of the virus-host interactions that govern infection and disease, especially the interplay between HSV-1 and intrinsic neuronal defenses. The highly conserved cellular RNA degradation pathway nonsense-mediated decay (NMD), which regulates expression of ~10% of cellular transcripts and controls numerous fundamental processes, has recently emerged as an important regulator of neuronal function. Based on my previous postdoctoral studies that revealed a major role for NMD in controlling infection by oncogenic human herpesviruses combined with my preliminary data on HSV-1, I hypothesize that NMD provides an intrinsic defense mechanism that controls HSV-1 infection. In this fellowship, I propose to combine my experience and the expertise of the host institute to determine the physiological relevance and molecular mechanism by which NMD controls HSV-1 infection in its natural human host. Successful completion of my project will lead to improved insight into the virus-host interactions that control infection of HSV-1, thereby providing novel therapeutic targets to combat HSV-1 infection and pathogenesis. Moreover, the extensive and multidisciplinary training in research and transferrable skills provided by this fellowship will be invaluable for my goal of becoming an all-round competitive scientist leading an independent research group focused on intrinsic immunity to neurotropic viruses.

Keywords: human herpesvirus,nonsense mediated decay,herpes simplex virus,trigeminal ganglion,neuron,neurotropic viruses
ELUCIDATION OF CRYSTALLISATION PROCESS USING FFF 3D PRINTER ASSISTED IR THERMAL IMAGING TECHNIQUE ON PLASTIC WASTE (CPW)

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: Malta
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-05-01
End date: 2026-04-30
Duration (months): 24.0
Total project cost (EUR): 177251.52
EU funding (EUR): 177251.52
Participants: 1
Project status: SIGNED

Nowadays, the issue of plastic recycling has become one of the major issues of environmental protection and waste management. Since 1950, humans have produced more than 8 billion tons of plastic, of which more than half was discarded into landfills and only 9% was recycled. The majority of plastic waste stemmed from semi-crystalline polymers such PE, PP and PET. When recycled, the properties of these polymers deteriorated due to shrinkage and warpage issues related to the crystallisation process that occurred during the cooling process. The temperature gradient during cooling is able to control the crystallisation growth. However, determining the crystallization process of plastic waste during processing is difficult as generally plastic waste contains additives. Therefore, CPW uses IR thermal imaging technique as it can capture the temperature profile of plastic waste during 3D printing to study the temperature-crystallisation relationship. The existing techniques, such as hot-stage microscopy, X-ray synchrotron and in-situ light scattering, have several restrictions. Among them are non-simultaneous processes, expensive, and requiring high energy radiation sources. Furthermore, these techniques can only be applied to virgin plastic and are limited to transparent polymers that are free from additives and contamination. The captured temperature profile will be analysed using MATLAB to examine the crystallite structure at precise temperature, thus could control their properties through the processing temperature of the 3D printer. An innovative approach through experimental setup and technique used to investigate the crystallisation process will be the novelty of CPW. This research will contribute to at least four research papers with two ISI journals and two conference papers, and a patent application. The implementation of the MSCA will benefit and impact the recycling of plastic wastes in the world, and this is in line with EU’s strategy for the SDG 12 and SDG13.

Keywords: crystallisation fff 3d printer thermal imaging plastic waste