Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
n-Dimensional analysis and memorisation ecosystem for building cathedrals of knowledge in Heritage Science (n-Dame_Heritage)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2468909.0
EU funding (EUR): 2468909.0
Participants: 1
Project status: SIGNED

The research on cultural heritage makes the confrontation between material objects and multidisciplinary studies the arena for the production of collective knowledge. In the digital age, this is then a privileged framework for studying the collective analysis and interpretation of facts, objects and phenomena that bring together a new generation of data towards the construction of new scientific resources - our tomorrow’s heritage. How can one memorise these bundles of individual gazes converging on the same object of study? How can one analyse their dynamics of construction, of overlap and of fusion leading to new knowledge? This project introduces a new field - a territory of multidisciplinary and multidimensional digitally born data - as raw material for studying the mechanisms of knowledge production in cultural heritage. Introducing a pioneering approach in computational modelling and digitisation, this project benefits from the exceptional experimental framework of the scientific worksite on Notre-Dame de Paris (involving today 175 researchers coming from disciplines like archaeology, anthropology, architecture, history, chemistry, physics and computer scientist) to build an emblematic corpus of data on scientific practices in heritage science, in the digital age. Within this unique opportunity to produce and analyse masses of born digital scientific data, n-Dame_Heritage will deliver a generalisable approach, a replicable methodology and an open and reusable digital ecosystem to build cathedrals of knowledge by the collaborative research on material objects. By introducing and experimenting next generation methods and tools for the semantic-driven data production and analysis, this project shifts the cursor of digitisation, from the physical object to the knowledge for understanding it, in order to analyse the interdependence between its complex facets and the related knowledge objects built by scholars through their research practices.

Keywords: architectural heritage,conservation and restoration,heritage science
Reinforcing network for enriched freshwater phytoplankton barcode library (REFBAR)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Serbia,France,Hungary,United Kingdom,Netherlands,Argentina,Paraguay
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 853131.43
EU funding (EUR): 726450.0
Participants: 8
Project status: SIGNED

The aim of REFBAR project is to create an International, Intersectoral and Interdisciplinary network to facilitate the exchange of staff to progress developments in eDNA metabarcoding and genetic reference library for freshwater plankton microalgae that can significantly enhance data quality, data quantity and usability across aquatic ecosystems in Europe and beyond. The focus will be on developing staff and partner skills in the areas of long-read sequencing, (meta)barcoding, and metadata standards coupled with improved molecular bioinformatics techniques which in turn will offer more reliable DNA reference library for eukaryotic and prokaryotic photoautotrophs. The consortium is comprised of an international network of beneficiaries and partners with internationally-recognized track record on metabarcoding and world leaders in development of eDNA filters and portable next-generation sequencing capabilities. The academic beneficiaries will benefit from gaining experience in the development of on-site filtering of eDNA, third generation sequencing and bioinformatics. Industrial staff will benefit from bi-lateral exchanges from the scientific domains of biosystematics and freshwater ecology that is necessary for developing innovative eDNA solutions from the first sampling step to bioinformatics pipeline.

Keywords: edna,phytoplankton,lakes,reference library
Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions (INNO2MARE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Slovenia,Croatia,Belgium
Call: Excellence Hubs (HORIZON-WIDERA-2022-ACCESS-04, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 4985150.0
EU funding (EUR): 4985150.0
Participants: 19
Project status: SIGNED

The main goal of INNO2MARE is to strengthen the capacity for excellence of Western Slovenian and Adriatic Croatian innovation ecosystems through a set of jointly designed and implemented actions that will support the digital and green transitions of the maritime and connected industries. Based on an in-depth mapping of the ecosystems and needs & gaps analysis, the consortium will formulate a long-term R&I strategy aligned with regional, national and EU strategies, as a visionary framework, and a joint action & investment plan, with concrete steps for building coordinated, resilient, attractive and sustainable maritime innovation ecosystems. To support the joint strategy and provide a model for the future collaborative R&I of the ecosystems’ actors, the project will implement three R&I pilot projects that address some of the key challenges related to maritime education and training, security & safety in marine traffic as well as energy conversion and management systems’ efficiency. These pilots will be the basis for further development, scale-up and translation of the generated research results into innovative business opportunities through the coordinated mobilisation of public and private funding. The consortium will also implement innovative programmes that will support the engagement of citizens in the innovation processes, knowledge transfer for mutual learning, entrepreneurship & smart skills training and attraction of best talents, involving more than 1.000 participants across the Quadruple Helix. In all the project activities, the two ecosystems will strongly benefit from the sharing of best practices of the Flemish ecosystem, one of the most developed maritime innovation ecosystems globally. The project will contribute to reducing the innovation divide in Europe by systematically connecting the innovation actors within and between the ecosystems and creating synergies in R&I investments’ planning and execution, thus developing a true innovation culture.

Keywords: innovation ecosystems western slovenia adriatic croatia maritime digital and green
VHIO International postDoctoral programme for translAtional research (VIDA)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain,France,Sweden,Malta,United Kingdom,Germany
Call: MSCA COFUND 2023 (HORIZON-MSCA-2023-COFUND-01, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1719360.0
EU funding (EUR): 1719360.0
Participants: 17
Project status: SIGNED

The proposed “VHIO International postDoctoral programme for translAtional research” (VIDA) aims at enabling outstanding junior scientists of all nationalities to develop a competitive research project at VHIO, an international reference center for personalized medicine in oncology that thanks to its pioneering model of multidisciplinary and translational research is among the leading comprehensive cancer centers in Europe. VIDA aims to nurture excellent postdoctoral fellows to advance research, personalised medicine in oncology and patient health care in Europe. Following a fair, merit-based and inclusive recruitment process, the programme will hire 12 postdoctoral researchers to carry out a research project that will benefit from a stimulating and creative environment, career development and mentoring schemes, and access to high-end technologies and facilities. Importantly, they will benefit from a tailored advanced training programme on the latest technologies, open science, gender and innovation, and from a specific mentoring scheme, with the opportunity to build valuable national and international networks with different actors in academia, hospitals, industry, editors and universities. VIDA counts on the support and collaboration of 15 associated partner organisations. The trained fellows will be equipped with skills and knowledge to tackle relevant clinical and research questions, and ultimately pursue new approaches to diagnose and treat oncology diseases. Overall, the VIDA Programme will provide fellows skills and competences for developing a successful career in both the academic and non-academic sector and VHIO is a unique institute to bring them the possibility of contributing to improve prevention, early diagnosis, monitoring and treatment of cancer patients; key intervention areas of the Horizon Europe Mission on Cancer.

Keywords: oncology postdocs life sciences biomedicine translational training career development international,interdisciplinary and inter sector mobility personalised medicine in oncology
Inter materials and structures mechanoperception for self learning (IMMENSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Italy
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Forests, insect swarms, bones during remodeling, are striking examples of biological systems whose elements possess the ability to sense and exchange signals. These signals are exploited to adapt to evolving environmental conditions and to learn how to improve performance, in some cases without a centralized control. Can materials and structures be enabled with the same capabilities? How can we build devices that exchange information on a mechanistic base and exploit these to learn how to optimally react to external stimuli? To what extent can materials and structures be endowed with active inference processes which mimic brain activities? Finding answers to these questions is the challenge of IMMENSE, with the overarching aim to create materials and structures able to sense, exchange signals, interpret and compare them, thus achieving self-learning and self-adaptation. This will be a major step toward the design of sentient materials and structures. Solid and structural mechanics, solid-fluid interaction, smart architected metamaterials, coupled with multi-physics phenomena at micro and macro scales, will be combined to implement sensing and signal control abilities on mechanistic bases. Complex dynamic responses of oscillator arrays, coupled with physical “in materia” computing replicating classification and learning processes, will be innovative tools designed to implement learning and reacting abilities. Experiments will be performed at micro and meso scales on “ad hoc” designed proof of principles prototypes, to obtain evidence of sentient materials and structures. IMMENSE will set the stage for a new class of materials and structures implemented with local, decentralized sensing, monitoring and reacting abilities and will open to a variety of new applications, including local self-healing of construction materials and biomedical prosthesis, new monitoring and control of industrial appliances, advanced unmanned vehicles and satellites.

Keywords: solid and structural mechanics computational mechanics micromechanics
Discovering novel control strategies for turbulent wings through deep reinforcement learning (DEEPCONTROL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Sweden,France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-04-01
End date: 2027-03-31
Duration (months): 60.0
Total project cost (EUR): 1999748.0
EU funding (EUR): 1999748.0
Participants: 3
Project status: SIGNED

Over the past decades, aviation has become an essential component of today’s globalized world: before the current pandemic of coronavirus disease 2019 (COVID-19), over 100,000 flights took off everyday worldwide, and a number of studies indicate that after the pandemic its relevance in the transportation mix will be similar to that before COVID-19. Aviation alone is responsible for 12% of the carbon dioxide emissions from the whole transportation sector, and for 3% of the total CO2 emissions in the world. Due to the major environmental and economical impacts associated to aviation, there is a pressing need for improving the aerodynamic performance of airplane wings to reduce fuel consumption and emissions. This implies reducing the force parallel to the incoming flow, i.e. the drag, and one of the strategies to achieve such a reduction is to perform flow control. DEEPCONTROL aims at using high-fidelity simulations and deep reinforcement learning to develop a framework for real-time prediction and control of the flow around wing sections and three-dimensional wings based only on sparse measurements. We will first perform high-order spectral-element simulations of wing sections and three-dimensional wings at high Reynolds numbers. Using sparse measurements at the wall, we will reconstruct the velocity fluctuations above the wall within a region of interest. To this end, we will employ a generative adversarial network (GAN), together with a fully-convolutional network (FCN) and modal decomposition. Then, we will perform flow control based on deep reinforcement learning (DRL), which will enable discovering novel solutions in terms of flow actuation and design of winglet geometry. In order to assess the robustness of the framework for real-time applications, we will carry out detailed wind-tunnel experiments at KTH. This framework will constitute a breakthrough in aviation sustainability, and will enable developing more efficient aeronautical solutions worldwide.

Keywords: computational fluid dynamics deep learning turbulence turbulent wings
Analytical platform for non-invasive diagnosis of LIVEr disease (ALIVE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 268034.74
EU funding (EUR): 187624.32
Participants: 2
Project status: CLOSED

Non-alcoholic fatty liver disease (NAFLD) is a disease of alarmingly increasing prevalence, associated with metabolic and cardiovascular complications and morbid mortality. The disease spectrum covers from a simple steatosis to non-alcoholic steatohepatitis (NASH). With estimated 25% of population having NAFLD, it makes it the most common liver disease in the world. While diagnosing and stratifying NAFLD and NASH is of high priority to identify subjects with increased risk for cardio-vascular complications, the gold standard of current diagnostics is an invasive liver biopsy. Recently discovered extracellular vesicles (EVs) have shown high potential to become novel source of non-invasive biomarkers as they are loaded with the same molecular information as their parental cells (proteins, metabolites, RNAs). Molecular information of liver-derived EVs could be a great source of liver specific biomarkers, that are obtainable in circulation and are suitable for non-invasive diagnostics. However, analysing biochemical/omics profiles of tissue specific EVs in biofluids is an unsolved challenge and has not been realized in routine clinical diagnostics yet. In this project ALIVE we propose to develop a technology capable of isolating cell and organ specific EVs from biological samples and perform their omics analysis and to apply this technology in the proof-of-concept investigation of potential biomarkers of liver disease in blood. ALIVE is a great opportunity for the experience researcher Dr. Andrea Capuano to gain new technical and transferable skills, exchange knowledge with the host, an innovative European startup EXIT071 and secure a leadership position in innovative ecosystem of Europe.

Keywords: extracellular vesicles,exosomes,mass spectrometry,liver disease
A LIGHTWEIGHT SOFTWARE STACK AND SYNERGETIC META-ORCHESTRATION FRAMEWORK FOR THE NEXT GENERATION COMPUTE CONTINUUM (NEPHELE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Greece,Italy,Germany,Spain,France,Poland,Slovenia,Ireland,Switzerland
Call: Future European platforms for the Edge: Meta Operating Systems (RIA) (HORIZON-CL4-2021-DATA-01, 2021)
Start date: 2022-09-01
End date: 2025-09-30
Duration (months): 37.0
Total project cost (EUR): 9127711.25
EU funding (EUR): 9127711.0
Participants: 19
Project status: SIGNED

The vision of NEPHELE is to enable the efficient, reliable and secure end-to-end orchestration of hyper-distributed applications over programmable infrastructure that is spanning across the compute continuum from Cloud-to-Edge-to-IoT, removing existing openness and interoperability barriers in the convergence of IoT technologies against cloud and edge computing orchestration platforms, and introducing automation and decentralized intelligence mechanisms powered by 5G and distributed AI technologies. The NEPHELE project aims to introduce two core innovations, namely: (i) an IoT and edge computing software stack for leveraging virtualization of IoT devices at the edge part of the infrastructure and supporting openness and interoperability aspects in a device-independent way. Through this software stack, management of a wide range of IoT devices and platforms can be realised in a unified way, avoiding the usage of middleware platforms, while edge computing functionalities can be offered on demand to efficiently support IoT applications’ operations. (ii) a synergetic meta-orchestration framework for managing the coordination between cloud and edge computing orchestration platforms, through high-level scheduling supervision and definition, based on the adoption of a “system of systems” approach. The NEPHELE outcomes are going to be demonstrated, validated and evaluated in a set of use cases across various vertical industries, including areas such as disaster management, logistic operations in ports, energy management in smart buildings and remote healthcare services. Two successive open calls will also take place, while a wide open-source community is envisaged to be created for supporting the NEPHELE outcomes.

Keywords: software stack,meta orchestration mechanisms,sensors virtualization,service mesh,semantic interoperability,autonomic functions
Microfluidic EV Quantification for Point-of-Care CRC diagnostics (uQuantEV)

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: Spain,Portugal
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2027-03-31
Duration (months): 31.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 2
Project status: SIGNED

The μQuantEV project aims to revolutionize the landscape of colorectal cancer (CRC) diagnostics through the development of a groundbreaking Point-of-Care (PoC) platform. Leveraging the emerging potential of extracellular vesicles (EVs) as robust biomarkers for CRC, this interdisciplinary endeavor combines cutting-edge microfluidic technology with advanced analytical methods to enable the sensitive, rapid, and cost-effective detection of CRC-specific EVs. By designing, fabricating, and characterizing a microfluidic EV enrichment module, the project pioneers an innovative approach for the selective capture of CRC-associated EVs from patient-derived samples. Simultaneously, a state-of-the-art fluorescence-based EV detection and quantification module is developed to provide accurate and real-time analysis of the captured EVs. These two modules are seamlessly integrated to create a Lab-on-a-Chip diagnostic platform capable of detecting CRC at early stages with exceptional sensitivity and specificity. Furthermore, μQuantEV places a strong emphasis on translational research, collaborating closely with clinical partners to validate the platform's performance using patient samples. The project also incorporates extensive open science practices to foster collaboration, transparency, dissemination of research outcomes. Upon successful completion, the μQuantEV platform holds the potential to revolutionize CRC diagnostics, offering a cost-effective, non-invasive, and efficient alternative to current screening methods. Beyond CRC, the technology developed in this project can pave the way for the application of EV-based diagnostics in various other diseases, driving advancements in personalized medicine and improving healthcare outcomes.

Keywords: extracellular vesicles,microfluidics,immunoassay,colorectal cancer,biomarkers,point of care,lab on a chip