Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A quantitative tissue architecture framework to understand human aging and disease (QUANTAGE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Austria
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1499046.0
EU funding (EUR): 1499046.0
Participants: 1
Project status: SIGNED

Aging is a complex biological process that manifests across diverse anatomical scales, from molecules and cells to organs and organisms. Despite the significance of age-associated diseases in affecting quality of life and mortality, our understanding of how cellular-level changes result in tissue-specific loss of function remains incomplete. Several limitations persist: the inability of animal models to fully mirror human physiology, the restricted scope of longitudinal human studies to easily accessible organs, and a prevalent cell-centric focus that overlooks the broader microanatomical context. Additionally, the challenge of uncoupling aging from pathology is exacerbated by the absence of baselines defining healthy aging, hindering the accurate interpretation of alterations. To address these challenges, the proposed project leverages large-scale human tissue imaging datasets and machine learning techniques. Specifically, Aim 1 employs unsupervised learning to systemically quantify and categorize microanatomical structures across 40 human tissues. In a parallel stream, Aim 2 aims to detect and characterize the manifestation of age-associated pathologies in tissue, pinpointing the molecular changes associated with them, across spatial scales. Aim 3 integrates the insights from previous aims, seeking to identify how they contribute to the process of aging and onset of age-associated diseases. Ultimately, this will unearth early predictors of pathology, providing a transformative approach to disease detection and management. This project will not only offer a novel, comprehensive view of human tissue complexity in the context of aging but also challenge the traditional notion that age-associated pathology is merely an aggregation of cellular dysfunctions. By quantifying the interconnected aspects of tissue architecture changes with age, and the manifestation of pathology, we aim to redefine our understanding of the onset of age-associated diseases.

Keywords: organ wide cellular dynamics multi scale tissue architecture tissue specific aging and pathology predictive modeling of disease onset
Integrated Climate Action (iClimateAction)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Coordination and support actions
Countries involved: Switzerland
Call: Coordination and increase of synergies among WMO, GEO, GCOS and related initiatives for fostering international climate action (HORIZON-CL6-2024-SYNERGY-IBA, 2024)
Start date: 2025-03-01
End date: 2028-02-29
Duration (months): 36.0
Total project cost (EUR): 3000000.0
EU funding (EUR): 3000000.0
Participants: 1
Project status: SIGNED

The iClimateAction project addresses the need of increased coordination and synergies among the Global Climate Observing System (GCOS), the Group on Earth Observations (GEO), and the World Meteorological Organization (WMO), to improve the international alignment across organisations regarding creation, management and utilization of climate data. All three organizations have key coordination functions along the value chain of climate data, including production, curation and exploitation, and that support evidence-based decision-making to manage risks and adapt to a changing climate. The iClimateAction will support GCOS, GEO, WMO in their common endeavor to strengthen the global system for standardized, open, accessible, usable, and interoperable global observation systems for Essential Climate Variables (ECVs), and aiming at a shared and coordinated strategy towards the development of a more coherent, sustainable, and comprehensive global observing system for climate. The iClimateAction strategy serves the implementation of EU actions supporting EO programs, including the Copernicus Services, ESA-Climate Change Initiative, EUMETSAT Satellite Application Facilities, and aiming at enhanced climate data uptake to fulfill the European Green Deal. Guided by its overarching objective to advance the current observing system and its ability to monitor and predict the evolution of the Earth’s climate, the project will develop its action plan around 4 specific objectives, implemented through 7 work packages and 2 useful demonstrators, allowing to cluster existing activities around urban and ecosystems resilience, serving as benchmarks for the coordination, and providing focus on two climate change adaptation and mitigation areas of relevance for science and policy making goals. The iClimateAction project will foster EO data exploitation, and deliver a set of recommendations for a sustainable inter-organization coordination to maximize the value and impact of the EO data chain.

Keywords: earth observation,essential climate variables,international coordination,climate action
ACHIEVING RESILIENCE THROUGH MANUFACTURING AS A SERVICE, DIGITAL TWINS AND ECOSYSTEMS (ACCURATE)

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
Partnership: Made in Europe (co-programmed)
Countries involved: Romania,Italy,France,Germany,Denmark,Greece
Call: Achieving resiliency in value networks through modelling and Manufacturing as a Service (Made in Europe Partnership) (RIA) (HORIZON-CL4-2023-TWIN-TRANSITION-01, 2023)
Start date: 2023-12-01
End date: 2026-11-30
Duration (months): 36.0
Total project cost (EUR): 5999718.75
EU funding (EUR): 5999718.75
Participants: 11
Project status: SIGNED

The ACCURATE project aims to boost the competitiveness of European manufacturing companies and value chains by improving their sustainability, performance stability, resilience, and ability to manage unforeseen events. To achieve these benefits, ACCURATE will develop innovative approaches and deliver an integrated set of results, culminating into: • a human-centric Decision Support System offering a better understanding of the impact of unforeseen events on manufacturing and industrial networks, providing timely, optimal and robust manufacturing supply and value chains design, planning, stress testing, reconfiguration and recovery, and improving their circularity and sustainability performances; • a Manufacturing As A Service framework covering multiple critical supply and value chains, leveraging data space technologies as well as multi-scale and multi-level Digital Twins and co-simulation, delivering swift adaptation capabilities of logistics and production that are technically and economically viable; • an open, standard-based, federated, trusted data space and ecosystem integrating data flows, models, and tools across actors in manufacturing value chains, creating smart manufacturing networks empowering humans and organizations to share valuable information and collaborate on MAAS solutions while retaining full sovereignty over their sensitive data and intellectual property. ACCURATE results will be validated in 3 pivotal use cases covering multiple key European industrial sectors and value networks (aerospace, automotive, biotech, energy, medical, mobility). The ACCURATE consortium acknowledges the transformative potential of data spaces and ecosystems in revolutionizing business models and value propositions and will leverage these technologies and approaches to achieve impact, create resilient manufacturing networks, instigate deep innovation and accelerate results adoption.

Keywords: data spaces manufacturing ecosystems cross sectorial synergies decision support systems manufacturing as a service supply chain management digital twin flexible manufacturing human centric
Quantum Research and Innovation in Optical clocks for Upcoming Scientists (QuRIOUS)

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: Physics
Countries involved: Netherlands,United Kingdom,France,Denmark,Italy,Poland,Austria,Germany,Spain,Finland
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 5035129.46
EU funding (EUR): 4642371.72
Participants: 22
Project status: SIGNED

The unprecedented precision of quantum clocks offers tremendous opportunities from fundamental science, sensing (e.g. for geodesy) to reliable and accurate positioning, navigation, and timing. Deploying these clocks in telecom networks could avoid damage to the economy through outages of fragile satellite navigation systems, on which ~10% of Europe’s GDP depends. The market for quantum devices is estimated to reach €3Bn by 2030 with quantum clocks covering ~40% of the quantum sensing market. The scientific importance of advances enabling quantum clocks is underpinned by the Physics Nobel Prizes in 1997, 2001, 2005, 2012 and 2022, with five European laureates. Additionally, Europe is world leading in optical clock technology within academia and national metrology institutes as well as through its strong photonics industry. It is crucial that Europe retains its leading position in this strategic area. QuRIOUS aims to train 15 young scientists to become Europe’s future quantum technology leaders. To do so, QuRIOUS brings together an outstanding group of scientists and innovators from academia, EU metrology institutes and industry with world class expertise in practical quantum technologies and a decade-long experience of subsystem development for transportable optical clocks. The team’s excellence is manifest in high-impact publications in journals like Nature, Science and Physical Review Letters and several patents. QuRIOUS is an international, multidisciplinary and intersectoral program aimed at developing specialized research skills in advanced and field deployable optical clocks, as well as generic and transferable skills. Development of these skills is crucial for a flourishing quantum ecosystem ensuring the European sovereignty in this disruptive and strategic area.

Keywords: optical atomic clock,frequency reference,network synchronization,geodesy,navigation,superradiant laser,squeezed states,continuous measurement,cavity enhanced clocks
Voltage Drops Improvement at Ferry Ports by Integrating Distributed Resources and Predictive Analytics(VDROP-PORT) (VDROP-PORT)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-12-01
End date: 2027-11-30
Duration (months): 24.0
Total project cost (EUR): 263393.28
EU funding (EUR): 263393.28
Participants: 1
Project status: SIGNED

As the maritime industry shifts towards electrification, maintaining stable and efficient energy management at ferry charging stations becomes crucial. This project focuses on enhancing voltage drop at Charging Station Ports (CSPs) for electric ferries by optimizing the hosting capacity of photovoltaic (PV) systems and utilizing battery storage in public buildings. It employs real-time predictive control through machine learning (ML) algorithms to dynamically manage voltage during electric ferry charging events. The methodology involves a comprehensive system analysis to understand existing grid infrastructure and identify critical nodes vulnerable to voltage drops. An optimization model will be developed to maximize PV hosting capacity and minimize voltage drops. ML algorithms will predict and control voltage levels in real-time, improving grid reliability and energy efficiency. The project will validate its solutions through hardware-in-the-loop (HIL) simulations, ensuring their effectiveness in real-world scenarios. The proposed framework aligns with the European Commission's regulations on rooftop solar installations, leveraging these requirements to enhance PV integration and energy optimization. By addressing voltage drop issues, the project contributes to national sustainability goals and promotes the adoption of renewable energy solutions in the maritime sector. The outcomes include improved voltage stability at CSPs, enhanced PV system utilization, and a scalable approach that supports the global electrification of maritime transport and reduces carbon emissions.

Keywords: electric ferries,voltage drop,hosting capacity,machine learning,rooftop pv,onshore power port,renewable energy
Divergence and convergence in dialogue: The dynamic management of mismatches (DivCon)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499543.0
EU funding (EUR): 1499543.0
Participants: 1
Project status: SIGNED

Human interaction is deceptively simple to engage in, yet surprisingly challenging to account for theoretically. Existing theories of language and cognition cannot fully account for the complex dynamics of verbal and non-verbal behaviours in interaction, which is becoming even more apparent with our increasing use of computer-mediated communication, such as the currently ubiquitous Zoom calls. With DivCon, my vision is to transform our basic understanding of human interaction by showing how successful dialogue is driven by incremental, local and dynamic processes of mismatch management.In our everyday interactions, we continuously make predictions about what will happen next, based on how our own and others’ behaviour affects the world, to open up new possible courses of action. In dialogue, these predictions are about sounds, words, inferences and even non-speech actions such as gestures or eye gaze. If our expectations are not met, we have to ascertain if the mismatching input can be resolved, or integrated as a surprising but rewarding outcome (as in the case of humour). DivCon will produce a suite of corpus and experimental data for exploring the timely issues of communication via different forms of computer-mediated communication, including text-based chats, video calls and virtual reality meetings. To do this, the project will create a novel experimental platform for experiments in real time live multimodal interactions using avatars and virtual reality. The formal arm of the project will develop a precise theory of divergence and convergence in interaction which unifies verbal and non-verbal dialogue phenomena including gesture, gaze, feedback and laughter, using core notions of prediction and underspecification. This model will be implementable in conversational AI –an important step in the path to genuinely adaptive conversational AI systems, which are still beyond the reach of researchers despite the promise of recent decades.

Keywords: dialogue interaction computer mediated communication cmc miscommunication
Intelligent Archaeological Mapping of Long-Term Settlement in Punjab (IArchMap)

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: Social Sciences and Humanities
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: CLOSED

Intelligent Archaeological Mapping of Long-Term Settlement in Punjab (IArchMap) will develop a new workflow for the development of archaeological regional surveys through the application of machine learning methods to historical maps, multitemporal multisource satellite data and drone-acquired high-resolution imagery. These will be tested and complemented by field ground-truthing and analysis of field material. This new methodological approach will allow archaeologists to map atand characterise information on past human settlement over large areas with an unprecedent speed and accuracy. IArchMap will complement site detection methods with data on landscape change that might have impacted human settlement and the formation and preservation of the archaeological record. IArchMap design is based in a combination of experimental approaches currently in development by the supervisor and the host research group. The Action’s training will provide the researcher with the capacities required to implement those approaches in a single workflow for the first time. The research previous experience and expertise will provide ground-truthing data and an interpretative background to evaluate the project’s data contribution to current historical debates. The selected regional case-study, the territory of the modern Punjab State (India) has been intensively settled since prehistory, but it has been significantly less explored than neighbouring regions. The project’s results will represent a significant step-forward in the knowledge on the historical settlement dynamics of the study area and the Indus Region in general; and will benefit its Cultural Heritage management and preservation. Methods and data employed for IArchMap will be freely accessible, which opens the possibility to apply them to other regions of South Asia and elsewhere.

Keywords: landscape archaeology,regional survey,computational archaeology,south asia
Modelling and computer simulations of post-release movements of European Lynx species to improve decision-making and success of conservation translocations (LYNXONTHEMOVE)

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: Slovenia
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 155559.36
EU funding (EUR): 155559.36
Participants: 1
Project status: CLOSED

Conservation translocations (CT) assist to restore populations of relevant animal species for ecosystem and biodiversity enhancement, such as the two emblematic species of lynx in Europe: the Eurasian and the Iberian lynx. Often, CT show partial success due to multiple environmental and local human factors. Moreover, the selection of release sites is mostly based on expert knowledge and habitat selection analyses of animals in their source environment. Critical to improving release site selection methods is the use of empirical information from the observed post-release behaviour of already translocated lynxes. Using cutting-edge animal movement analyses and computational simulations in the context of conducted reintroduction programs of the Eurasian and the Iberian lynx in Slovenia and Spain, respectively, this project will assist to improve decision-making on release site and CT success. It will 1) model the post-release behavioural states of both reintroduced Eurasian lynxes and Iberian lynxes (prior to settling) and how they are related to environmental and human factors; and 2) produce ‘LynxOnTheMove’, a software to simulate and predict optimal release site scenarios. This multidisciplinary research will combine geospatial methods, reintroduction science, conservation biology, and animal ecology and behaviour. The fellow has outstanding experience and expertise in these fields obtained in New Zealand and Europe, which in conjunction with the expertise of Miha Krofel (action supervisor) in carnivore ecology and conservation will ensure a valuable transfer of knowledge and enable me to carry out research that will have an impact for Europe. Findings will be openly disseminated in scientific publications, conferences, seminars, workshops, and general publications and the media. Thus, scientists, stakeholders, the general public will all greatly benefit. This action will provide the fellow with greatly valuable training to become an independent researcher.

Keywords: reintroduction biology,environmental restoration,animal movement ecology,spatial ecology,large carnivores,gps telemetry
Brain Mosaicism Matters: Organoids in focus to unveil mechanisms in epileptogenic cortical malformations (BRAINMOS)

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
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Epilepsy, a global neurological disorder affecting around 70 million people, poses a significant medical challenge, with one-third of patients facing drug-resistant epilepsy. Cortical malformations such as focal cortical dysplasia type II (FCDII) are associated with pediatric drug-resistant epilepsy for which surgical intervention serves as the main therapeutic approach for seizure control. FCDII is marked by cortical dyslamination and the presence of abnormal cytomegalic cells. Recent findings show that FCDII results from brain mosaicism due to postzygotic mutations in genes of the mTOR pathway, which produces excessive activation of the pathway. Nevertheless, as the human surgical FCDII samples represent an advanced disease stage, we poorly understand its developmental origin and mechanisms. Moreover, the link between mTOR activation and epileptogenesis remains unclear. To address these critical knowledge gaps, a disease-relevant FCDII model is needed. For the preservation of human-specific features, I will use a mosaic cortical organoid model that expresses an inducible MTOR-S2215F mutant construct to reflect the somatic nature of FCDII. Induction of the mutation at different time points will shed light on the specific time frame during which mutations occur in FCDII patients and enable us to generate a preclinical model replicating an FCDII-like phenotype. Next, I will perform single-cell transcriptomic profiling at various developmental stages to uncover the cellular and molecular mechanisms behind FCDII development. Finally, the neuronal network activity of mosaic FCDII cortical organoids will be characterized, focusing on identifying the primary drivers of epileptiform activity among mutant cytomegalic or non-mutant nearby cells. In brief, this preclinical FCDII model has the potential to unveil novel developmental mechanisms, offer new non-invasive avenues for treating FCDII patients with drug-resistant epilepsy, and boost my career trajectory in the field.

Keywords: brain organoids focal cortical malformations epilepsy mtor pathway somatic mutations single cell transcriptomics