Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Scribes of Musical Cultures. Decoding Early Technologies of Music Writing in Latin Europe c. 900–1100 (SCRIBEMUS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: United Kingdom,Italy
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-06-01
End date: 2028-05-31
Duration (months): 60.0
Total project cost (EUR): 1497793.0
EU funding (EUR): 1497793.0
Participants: 2
Project status: SIGNED

From Bach to Beethoven, Verdi to The Beatles, whether elite or popular genres, our collective musical culture was shaped by complex technologies of music writing first invented c.1200 years ago in western Europe. SCRIBEMUS will elucidate the first spreading of musical notation in Latin Europe, one of the most debated topics in historical musicology since the 19th c. The project will address significant lacunae in our understanding of how music scripts were shaped and exchanged within transregional networks of singer-scribes. It will assess how scribes mediated contemporary writing practices and visual culture in the creation of musical notation, as well as the impact of politics and monastic institutions–especially convents–in the first adoption and diffusion of the musical staff. The project's international team will undertake the first large-scale and fully interdisciplinary analysis of hundreds of surviving musical sources across two centuries (c.900–1100); we will literally read beyond the surface of extant palimpsests manuscripts using multi-spectral imaging and digital processing to reveal a corpus of so-far 'hidden' melodies. SCRIBEMUS will go significantly beyond the state of the art in the field by exploring the scribes' intellectual approaches that guided their graphic representation of sound; this will be achieved through the development of software NeumSyntax. We will combine innovatively computational musicology and machine learning for the study of early musical notation with vocal performance practice through a collaboration with the music ensemble Dialogos. In three intersecting work packages, the project will cross the disciplinary boundaries between music, Latin palaeography, linguistics, the study of past musical cultures, and computational science. SCRIBEMUS will fundamentally advance our understanding of how early singers developed sophisticated ways to visualise, read, and perform musical sound, changing the course of music history to this day.

Keywords: musical notation,gregorian chant,manuscript studies,palimpsests,liturgy,digital imaging
Active Inference and the Circuits of Precision and Prediction (PREDICTION)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France,Netherlands
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: SIGNED

The human brain exhibits remarkable cognitive abilities, such as imagery, attention and mental simulation, which along with perception reflect our capacity to infer properties of the world. Perceptual inference involves a statistical hierarchical synthesis of information from the senses with prior knowledge of the world. There is empirical evidence in favour of Predictive Processing where functional interaction of descending pathways carrying top-down prediction and precision signals interaction with the ascending pathways to generative prediction errors. PREDICTION will develop a mechanistic and computational understanding of the hierarchical processing underlying inference in vision-related human brain areas and will establish how feedback connections enable generative cognitive functions. Unravelling the neural mechanisms of high-level visual cognitive functions requires novel ways of thinking about biological information processing and an integrated effort to measure and model cognitive functions at multiple brain scales. PREDICTON accomplishes this by integrating concepts and advanced methods from multiple disciplines: 1) Molecular biology to characterise projection cell-types. 2) Psychophysics and sub-millimetre ultra-high-field functional imaging of cortical layers and columns in the human brain, 3) Precision viral tracing to investigate the anatomical origins and targets of generative networks in non-human primates (NHP), 4) Spatio-temporal controlled activation of genetically identified feedback pathways with optogenetics together in multi-areal laminar recordings in NHPs, 4) Biologically realistic multi-scale computational modelling. PREDICTION will describe the functional circuits supporting hierarchical processing and their role in active vision. This will take us to the heart of cortical function and its causative role in perception, cognition, and decision-making, relative to a range of pathologies as well as to understand what makes us human.

Keywords: predictive processing,non human primate,anatomy,electrophysiology,human brain imaging
AI-based CCAM: Trustworthy, Explainable, and Accountable (AIthena)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Research and Innovation actions
Partnership: CCAM (co-programmed)
Countries involved: Spain,Germany,Netherlands,Austria,France,Belgium,Switzerland
Call: Artificial Intelligence (AI): Explainable and trustworthy concepts, techniques and models for CCAM (CCAM Partnership) (HORIZON-CL5-2022-D6-01, 2022)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 5999547.5
EU funding (EUR): 5999547.5
Participants: 17
Project status: SIGNED

Connected and Cooperative Automotive Mobility (CCAM) solutions have emerged thanks to novel Artificial Intelligence (AI) which can be trained with huge amounts of data to produce driving functions with better-than-human performance under certain conditions. The race on AI keeps on building HW/SW frameworks to manage and process even larger real and synthetic datasets to train increasingly accurate AI models. However, AI remains largely unexplored with respect to explainability (interpretability of model functioning), privacy preservation (exposure of sensitive data), ethics (bias and wanted/unwanted behaviour), and accountability (responsibilities of AI outputs). These features will establish the basis of trustworthy AI, as a novel paradigm to fully understand and trust AI in operation, while using it at its full capabilities for the benefit of society. AITHENA will contribute to build Explainable AI (XAI) in CCAM development and testing frameworks, researching three main AI pillars: data (real/synthetic data management), models (data fusion, hybrid AI approaches), and testing (physical/virtual XiL set-ups with scalable MLOps). A human-centric methodology will be created to derive trustworthy AI dimensions from user identified group needs in CCAM applications. AITHENA will innovate proposing a set of Key Performance Indicators (KPI) on XAI, and an analysis to explore trade-offs between these dimensions. Demonstrators will show the AITHENA methodology in four critical use cases: perception (what does the AI perceive, and why), situational awareness (what is the AI understanding about the current driving environment, including the driver state), decision (why a certain decision is taken), and traffic management (how transport-level applications interoperate with AI-enabled systems operating at vehicle-level). Created data and tools will be made available via European data sharing initiatives (OpenData and OpenTools) to foster research on trustworthy AI for CCAM.

Keywords: ccam,artifical intelligence model,explainability,trustworthiness,accountability,xai,situational awareness,perception,decision making,traffic management
Improving the optical readout instrumentation and supernova-readiness of XLZD, the next-generation dark matter experiment (IRIS-XLZD)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Understanding the nature of dark matter (DM) is a primary question in modern physics. Dual-phase liquid xenon (LXe) time projection chambers (TPCs) have led the search for particle DM, particularly for DM candidates above ~5 GeV. Building on the success of current experiments like XENONnT and LZ, the XLZD consortium aims to design, construct, and operate a 60-80 t LXe-TPC to probe WIMP-nucleon cross-sections down to the neutrino fog limit. XLZD will also search for low-energy solar neutrinos, neutrinoless double beta decay, solar axions, and supernova neutrinos, making it a genuine "rare event observatory." In this context, I propose to enhance the optical readout system for the LXe skin detector using silicon photomultipliers (SiPMs) and to study the sensitivity of the TPC to supernova (SN) neutrinos. The first part of the project is designing and characterizing VUV SiPMs and a minimal-radioactivity readout system for the LXe skin region. Achieving a 100 keV threshold will improve gamma-ray tagging from the active target, reducing electronic recoil background and, to a lesser extent, the nuclear recoil background. A prototype will be developed and tested at Imperial College London (ICL) and later at the University of Zurich (UZH), including in LXe. The second part focuses on enhancing the SN detection capabilities of LXe detectors, including contributions to an online SN monitor for the LZ experiment and its integration with the Supernova Early Warning System (SNEWS). The project will assess XLZD's sensitivity to SN neutrinos, evaluating its potential impact on neutrino property measurements and SN model discrimination, and contribute to the design of a parallel DAQ system for near-continuous SN monitoring. The proposed research will significantly advance the design and physics reach of next-generation xenon-based dark matter detectors, while fostering collaboration between ICL and UZH, uniting expertise from previous LZ and XENONnT projects for the XLZD experiment

Keywords: dark matter,multi messenger,supernova,neutrinos,particle physics,detector instrumentation,photosensors
Biochemical and biophysical characterisation of human meiotic cohesin complexes (MeiCoH)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

The cohesin complex is an essential component of mitotic and meiotic chromosomes due to its ability to control the topology of DNA. The core cohesin complex is a ring-like structure composed of two structural maintenance of chromosome proteins plus a kleisin that recruits additional subunits that control the loading and activity of cohesin on DNA. Recent single-molecule approaches show that cohesin displays two primary activities in vitro: ATP-dependent DNA translocation, leading to the formation of DNA loops, and topological entrapment of two DNA molecules, which can explain sister chromatid cohesion. These experiments used cohesin complexes containing the mitotic kleisisin RAD21, but higher eukaryotes express meiosis-specific kleisins, including RAD21L and REC8 in mammals, that are essential for fertility. Although in vivo experiments in mouse and C. elegans suggest that REC8 and RAD21L complexes display functional specialisation, the molecular activity of these complexes remains unknown. The goal of this project is to perform a biochemical and biophysical characterisation of human cohesin complexes containing the REC8 and RAD21L kleisins. To this end, I will combine bulk biochemical approaches with single-molecule methods (TIRF microscopy, optical tweezers) to determine the ATPase activity, complex formation with cohesin regulators (SA3, PDS5, NIPBL), topological DNA entrapment, and loop formation activity of human REC8 and RAD21L complexes. This project will provide mechanistic insights into the mechanisms that ensure fertility in humans.

Keywords: cohesin meiosis chromosome structure single molecule imaging infertility
Historical Dynamics and the Extraordinary Biodiversity of Asian Mountains (ASIA)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

Mountain ranges support about 25% of all terrestrial species in the world and are hotspots of biodiversity and endemism with high conservation value. Despite mountains being among the most species-rich regions in Asia, they are one of the world's most fragile ecosystems due to habitat destruction and global climate change. Little is known about the historical (evolutionary) processes underpinning the unique plant diversity in Asian mountains. So far, most studies have focused on the Himalayan and Hengduan mountains, suggesting the elevated plant diversity results from the interaction between the Asian monsoon, geological history, and high immigration. However, existing studies in the Malay Archipelago suggest that species richness results from long-distance dispersal, immigration of lineages from local lowland ancestors, and complex geological history. Therefore, an integrated hypothesis-driven framework to test the relative importance of such drivers, including how functional traits innovations may have contributed to such radiations in the Asian mountains, is needed. The overarching aim of ASIA is to understand the evolutionary and biogeographical processes that govern the plant biodiversity of the tropical Asian mountains using the model plant group Rhododendron (heather family, or Ericaceae). This species-rich lineage is widely represented across almost all Asian biodiversity hotspots. The ASIA project will unravel the most important drivers of high plant diversity in Asian mountains by developing a well-resolved phylogenetic hypothesis using high-throughput sequencing technologies, biogeography, macroevolutionary models, geological history, and species ecology. ASIA will provide insights on the adaptability of a widespread plant clade and identify areas of high extant speciation rates and species richness with potential conservation applications.

Keywords: biodiversity,mountains,biogeography,macroevolution,macroecology,diversification,functional traits,phylogenetics,phylogenomics,herbarium
Cooking transformations. Traditional cuisines, gastronomic tourism and biocultural landscapes (TASTE)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-12-16
End date: 2027-12-15
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 1
Project status: SIGNED

Recognising the importance of local cuisines and food landscapes, different international organisations and local governments have developed sustainable and gastronomic tourism projects under the premise that these types of activities contribute to promoting and branding destinations, maintaining and preserving local traditions, diversity, as well as taking advantage of and rewarding authenticity. Within the framework of these actions, the EU-funded TASTE project, proposes to ethnographically investigate, from a feminist perspective and a participatory methodology, the transformations of biocultural landscapes in coastal communities by generating knowledge and reflecting on the situation of traditional food systems and contemporary issues that impact on food sovereignty and social justice. Specifically, this research questions the link between food and wine tourism and traditional cuisines (understood as biosocial, historical and social reproduction processes), and their role in the protection and revitalisation of natural environments and cultural landscapes, with particular emphasis on recognising and emphasising the role of women in the conservation of these landscapes. To this end, it will explore how food is obtained, produced, prepared and consumed in local contexts, but also how it acquires meanings beyond culinary practices, in economic circuits and which are the different actors involved in these circuits. TASTE will be developed from the comparative analysis of two case studies: Lanzarote in the Canary Islands (Spain) and Ensenada, Baja California (Mexico). Two coastal regions, with arid-desert ecosystems, valued as tourist destinations for their landscape and biocultural heritage, as well as for the importance that leisure activities based on gastronomy (eco-gastronomy), wine production (food and wine routes) and and cultural heritage (heritage of different peoples, indigenous products and innovation).

Keywords: biocultural heritage foodscape rural women gastronomic tourism traditional cuisines marine anthropology ecolog a pol tica feminista environmental affectivity gurmetisation
Coastal Fishing Vessels Powered by Zero Emission Hydrogen Fuel Cell (H2-SEAS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Ocean, seas and waters
Destination: Ocean, seas and waters
Action type: Innovation actions
Countries involved: Latvia,France,Estonia
Call: Lighthouse in the Baltic and the North Sea basins - Lighthouse in the Baltic and the North Sea basins - Green and energy-efficient small-scale fishing fleets (HORIZON-MISS-2023-OCEAN-01, 2023)
Start date: 2024-05-01
End date: 2026-10-31
Duration (months): 30.0
Total project cost (EUR): 3379175.0
EU funding (EUR): 2798772.5
Participants: 5
Project status: SIGNED

H2-SEAS initiative is an Innovation Action targeting the overarching objectives of the topic HORIZON-MISS-2023-OCEAN-01-05. The initiative proposes a novel, fully-integrated hydrogen-electric fishing vessel to accelerate a sustainable and accessible transition to clean and efficient power for small-scale fishing fleets. Based on hydrogen fuel cell technology, the prototype will demonstrate increased energy efficiency and an environmentally friendly solution for the marine environment: zero emissions and low sound pollution. The project will be implemented by the design, construction, and operational demonstration of a hydrogen-electric fishing vessel, to test and validate its resilience in the harsh marine environment. The outcome will be complimented by the gathering of technical competencies provided by the Latvian Maritime Academy (Riga Technical University) and the Latvian shipyard AtoZ, which are in charge of major activities of hull design, engineering, building, and testing. Genevos, a French SME leader in the integration of hydrogen technologies in the maritime sector will provide the complete energy system engineering, including certified Hydrogen Power Modules, gas integration design and installation. In parallel, survey and research activities will be undertaken by the Estonian Tallinn Centre of the Stockholm Environment Institute and the Latvian Vidzeme University of Applied Sciences to report on regulation and barriers for small-scale fishing ship decarbonisation and to assess the environmental impact of the H2-SEAS initiative on the marine environment. The Distance Education Study Centre (Riga Technical University) will implement and maintain effective project management to create and lead dissemination and exploitation of results forming long-term synergies to broaden hydrogen fuel cell energies for small-scale fishing ships perspectives and meet the European Green deal objectives and the EU Biodiversity Strategy for 2030.

Keywords: hydrogen fuel cell,small scale fishing ships,hydrogen supply,marine environment,coastal fishing decarbonisation regulations
Membranes as Enablers for Future Biorefineries: from Fabrication to Advanced Separation Technologies (Mem-Fast)

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: Finland,Italy,Sweden,Netherlands,Switzerland,Estonia,Czechia,Portugal,United Kingdom,Poland,Denmark
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 2697926.4
EU funding (EUR): 2697926.4
Participants: 18
Project status: SIGNED

The doctoral network "Mem-Fast" - Membranes as Enablers for Future Biorefineries: from Fabrication to Advanced Separation Technologies - aims to educate 10 future professionals, who have the needed understanding to facilitate the utilisation of membranes in the growing biorefining industry. The research and training activities implemented in the Mem-Fast network form a “first of its kind” novel and unique doctoral training program. This reflects changing research priorities and emerging disciplines related to improving biorefinery processes to grow the Circular Economy. The network structures training at the European level in beneficiaries (CNR-ITM, LUT, LU, ULANC, UMK, UNL, UT) and associated partners (Alfa Laval, Aquaporin, Fibenol, Deltamem, Domsjö, B4C asp, MemBrain, NX Filtration, RAIZ-Navigator, UNICAL, UPM) across 11 countries giving the doctoral students a highly applied understanding on both membrane manufacturing and membrane processes and biorefinery processes that are critical to the future of EU’s chemical sector and circular economy. The individual projects of the doctoral candidates aim to push forward the use of membranes in biorefineries through the development of advanced membranes, novel tools for monitoring and controlling of fouling and novel continuous processes for simultaneous bioconversion and recovery of products. The network program leads to a new approach to training for the sector and will provide a first cohort of highly skilled future research leaders and managers by combining this network knowledge. Furthermore, it creates a basis for a European doctoral education focused on membranes in biorefineries that will be continued in the future.

Keywords: membrane technology,biorefining,lignocellulosic biomass,real time monitoring,fouling,separation techniques,recovery,purification