Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Non-destructive, scalable, smart monitoring of remote cultural treasures (ARGUS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Greece,Cyprus,Spain,Italy,Germany,Switzerland
Call: Advanced technologies for remote monitoring of heritage monuments and artefacts (HORIZON-CL2-2023-HERITAGE-01, 2023)
Start date: 2023-12-01
End date: 2026-11-30
Duration (months): 36.0
Total project cost (EUR): 3996147.5
EU funding (EUR): 3996147.5
Participants: 13
Project status: SIGNED

ARGUS draws on the current challenges in monitoring remote built heritage assets and the current research focus on preventive preservation, and envisions the development of: (a) a novel built heritage digital twin model to support multi-scale/modal data; (b) an advanced digitisation strategy to support the digital twin model; (c) a portable measurements system for non-descructive physical and chemical monitoring based on miniaturised sensors, and sensor composites integration, comprising of ground and aereal components; (d) AI-enabled methods for the modeling and identification (reverse engineer) of threat factors and their impact; (e) AI-powered multimodal data methods for the fusion of (i) remote sensing climate, weather and pollution data with (ii) natural disaster regional statistics, (iii) governmental statistics (ii) on-site acquired measurements; (f) Trustworthy AI decision support methods for the preventive preservation of built heritage. ARGUS’ innovation targets: (a) Researchers/academics: data from the ARGUS monitoring systems, long-term status processed data, the novel multimodal digital twin white paper, multidimensional/modal data visualisations, APIs. (b) Stakeholders/heritage managers/practitioners: real-time monitoring, long-term status analysis, predictive preser¬vation predictions, intervention decision support. (c) Authorities: real-time monitoring, long-term status analysis, predictive preservation strategies. (d) General public: real-time visualisations, crowdsourcing and citizen contribution in preventive preservation, citizens-in-the-loop R&I design with Living Labs and Hackathons.

Keywords: non destructive monitoring,heritage science,remote monitoring,remote heritage,ai in cultural heritage,computational humanities
Exploring microbial community stability across mutational spectra (MICROCOSMS)

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,France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-07-01
End date: 2025-06-30
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: CLOSED

Interactions in which all partners benefit, known as mutualisms, underpin many vital ecosystem functions all across nature. Recent work by myself and others has shown that mutualisms can readily break down via a few independence-enabling mutations, especially under environmental stress. Understanding the mechanisms that ensure mutualism stability is of increased importance for environmental, health, and societal problems. An unexplored question is the impact that large variations in mutational rates and spectra can have on in this process. Indeed, “mutator” strains, variants with highly elevated and biased mutation rates, readily take over microbial populations when there is ample adaptive opportunity, such as under environmental stress. These dramatic changes in spontaneous mutagenesis can have opposing effects on mutualism stability. On the one hand, they can lead to adaptive mutations appearing more rapidly, promoting partners survival and hence stabilising mutualisms. On the other hand, they may accelerate the acquisition of independence-enabling mutations, hence destabilising mutualism. With MICROCOSMS, I will address this open question by combining computer simulation with experimental evolution and genomics. I will experimentally evolve pairwise auxotrophic E. coli communities, genetically engineered to contain mutator variants that alter the mutational spectrum available. Pairwise communities will be assessed for mutualism stability when subject to both adaptive evolution, under strong antibiotic pressure, and non-adaptive evolution, where populations are subject to severe bottlenecking. These will be matched to simulations predicting the outcome of adaptive and non-adaptive evolution. By producing key insights into the stability of mutualisms under environmental stress, MICROCOSMS will form a knowledge base that will aide in protecting environmental and human-based ecosystems against disruptions.

Keywords: experimental evolution,mutualism,mutation rate,mutational bias,auxotrophy,adaptive evolution,non adaptive evolution,genetic drift,ecosystem stability,
A holistic approach in patient management and epidemic surveillance through convergence of diagnostic technologies, capacity building and stakeholder engagement (HoliCare)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Sweden,Uganda,United Kingdom,Germany,France,Senegal,Ethiopia,Finland
Call: Innovative approaches to enhance poverty-related diseases research in sub-Saharan Africa (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 5857773.5
EU funding (EUR): 5857773.5
Participants: 16
Project status: SIGNED

Research on Poverty-Related Diseases (PRDs) in sub-Saharan Africa suffers from major technological and non-technological challenges that prevent high quality healthcare to reach many areas. Not only their performance, but also the affordability, manufacturability, suitability for Low- and Middle-Income Countries (LMICs) and deployment of the (few) available diagnostics are main barriers to ensure good quality of healthcare in sub-Saharan Africa. The HoliCare project aims to tackle such challenges from a holistic perspective, by bridging the gap between technological excellence, available infrastructures, capacity, and local uptake of new technologies. We have chosen to work with lower respiratory infections as a blueprint for our new approach due to their huge clinical and socioeconomic impact, and relevance to the SARS-CoV-2 pandemic. Technology-wise, we propose a 2-tiered, digitally interfaced diagnostic approach that will start in the field using multiplexed lateral flow tests for rapid screening and triage, followed by a referral to a hospital (when needed) and a follow-up detailed diagnosis using a POC-Instrument performing simultaneous nucleic acid amplification (LAMP) for pathogen identification and immunoassays for host biomarker quantitation. Digital and manufacturing infrastructures will encompass these technology innovations to ensure future local product development. Quality controlled biobanks will be developed for executing reliable clinical studies. Training and human capital investment will be achieved by focussed and high-level training activities. Adoption and implementation activities will pave the way for the proposed diagnostic solutions to be successfully deployed, fitting the purpose of the local populations. Our developments will be scalable, adaptable and transferrable to other diseases and national (eco) systems, aiming to contribute to the improvement of healthcare delivery in sub-Saharan Africa.

Keywords: point of care diagnostics,respiratory tract infections,lateral flow tests,microfluidics
User-driven Health risk Assessment Services and Innovative ADAPTation options against Threats from Heatwaves, Air Pollution, Wildfire Emission and Pollen (healthRiskADAPT)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Innovation actions
Countries involved: Norway,Italy,Switzerland,United States,Australia,Netherlands,Greece,France,United Kingdom,Finland,Belgium,Sweden
Call: Testing and demonstrating transformative solutions to build resilience towards health risks caused by the effects of climate change (HORIZON-MISS-2023-CLIMA-01, 2023)
Start date: 2024-11-01
End date: 2028-10-31
Duration (months): 48.0
Total project cost (EUR): 5881451.25
EU funding (EUR): 5633151.25
Participants: 25
Project status: SIGNED

Transformative adaptation is gaining recognition as the appropriate response to climate change as the current adaptive measures reach their limits. In addressing health risks associated with heat waves, air pollution, wildfire emission and pollen, the implementation of comprehensive transformative adaptation remains largely unreported in Europe. healthRiskADAPT’s objective is to develop and implement a health risk assessment system for Mediterranean, Alpine and Continental regions. Its contents and tools will be in line with Climate-ADAPT described Urban adaptation support tool. This will support empowerment of local and regional authorities to make informed decisions in strategic planning, management and daily operational mitigation of health challenges related to climate change. healthRiskADAPT will address the fundamental causes of vulnerability and implement concrete adaptation measures aiming to mitigate the health impacts of climate change. The key details of this approach include: 1) Co-creation with users of integrated transformative adaptation options encompassing technical, nature based, and social solutions, reducing the impact of climate-related risks on human health in both indoor and outdoor environments. 2) Vulnerability assessments, health indicators, and risk indices related to climate change impact on health, considering different temporal and spatial scales. 3) Interactive and user-friendly toolkit for local & regional authorities to assess hazards, vulnerability, and risks specific to their regions. These toolkits will facilitate the prioritization, planning, and evaluation of adaptation options. healthRiskADAPT will use various communication techniques to actively engage with all stakeholders involved in the adaptation process, and develop an upscaling strategy to meet the ambitions of the Climate mission. Furthermore, we seek to enhance the preparedness of the healthcare system to respond effectively to the challenges posed by the effects of climate change.

Keywords: heatwave,air pollution,wildfire emission,pollen,cause specific morbidity and mortality,health indicator,vulnerability assessment,interactive dashboard
Multilingual Flexible Neuro-Symbolic Language Generation (M-FleNS)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 199694.4
EU funding (EUR): 199694.4
Participants: 1
Project status: CLOSED

The core aim of the M-FleNS (Multilingual Flexible Neuro-Symbolic Language Generation) project is to explore the extent to which combining the strengths of neural and symbolic (grammar-based) Natural Language Generation (NLG) systems is possible. We will build FleNS generators that (i) exploit grammar-based system aspects to address the vexed problems of poor accuracy (including hallucinations and omissions of content) and data and energy-hungriness in neural generators, and (ii) exploit neural system aspects to address problems with fluency, coverage and robustness in grammar-based generators. The overall ambition is to find solutions for some of the biggest current challenges in state-of-the-art NLG, including semantic controllability, energy greed and suitability for low-resource languages. Combining the Applicant's expertise in symbolic NLG systems and data annotation with the Supervisor's expertise in machine learning and evaluation for NLG, and benefiting from the excellent ADAPT research environment, we will develop a new type of NLG system that combines the best of both worlds, symbolic and neural, to create better NLG systems and components for real-world applications. The project is well aligned with the European Green Deal strategy and more particularly with the Digital Europe Programme whose main objectives include “bringing digital technology to businesses, citizens and public administrations”. Through a combination of working with the Supervisor and her research group, direct training, international collaboration and self-guided study, the Applicant will expand his spectrum of scientific expertise to Deep Learning methods and human evaluation of NLP systems, strengthen his general knowledge in linguistics, and acquire a comprehensive understanding of the IPR and business related skills needed for further exploitation. This project will allow the Applicant to establish himself as an internationally recognised research leader in the field of NLG.

Keywords: natural language generation,knowledge graphs,deep learning,rule based,low resource languages,evaluation,semantic web
EuroHeartPath: Leading Innovation in Cardiovascular Pathways for Improved Patient Outcomes (EuroHeartPath)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Innovative Health Initiative
Action type: Research and Innovation actions
Partnership: IHI (JU-JTI)
Countries involved: Netherlands,United Kingdom,Germany,France,Spain,Belgium,Denmark,Ireland,Slovenia,Switzerland
Call: Improving clinical management of heart disease from early detection to treatment (HORIZON-JU-IHI-2024-07-single-stage, 2024)
Start date: 2025-02-01
End date: 2030-01-31
Duration (months): 60.0
Total project cost (EUR): 26025244.75
EU funding (EUR): 14979063.0
Participants: 37
Project status: SIGNED

Cardiovascular diseases (CVD) present a significant public health challenge throughout Europe, being the leading cause of morbidity and a major contributor to mortality. Despite technological advancements and preventative strategies, the burden of CVD remains substantial, and the cardiac care pathways across Europe are inadequately mapped. The overarching goal of the EuroHeartPath consortium is to transform cardiovascular care pathways across the continuum of care. By adopting a pan-European scope and facilitating cross-country comparisons, EuroHeartPath aims to elucidate how care is organized and delivered, providing deeper insights and identifying best practices for integration with the support of stakeholders, including ESC, WONCA, EUPHA, and EPA. EuroHeartPath will simultaneously conduct 18 pathfinder studies to optimize the personalized early detection, diagnosis, monitoring, and treatment of heart failure, atrial fibrillation, ventricular fibrillation, and coronary disease, with a particular emphasis on prevention. These studies are categorized into four key areas: 1) novel artificial intelligence (AI) and machine learning applications, such as automated AI analysis of ECGs and Holters, and AI for predicting cardiomyopathies and cardiovascular events; 2) digital health integration, aimed at improving the diagnosis of aortic stenosis and enhancing secondary prevention measures; 3) point-of-care testing, including the use of point-of-care diagnostics in primary practice and ambulances to exclude heart failure; and 4) technology and robotics, encompassing robotic echocardiography and invasive diagnostics in obstructive epicardial coronary artery disease. EuroHeartPath will create a paradigm shift in the management and treatment of heart disease, offering substantial scientific, societal, and economic impacts across the entire patient health journey with a patient centric approach.

Keywords: heart diseases
FAIR data from collection to exploitation (RAISE Suite)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Research and Innovation actions
Partnership: EOSC (co-programmed)
Countries involved: Greece,Spain,United Kingdom,Netherlands,Cyprus,Italy,Bulgaria,Belgium,Finland,Canada,France
Call: Innovative and customizable services for EOSC Exchange (HORIZON-INFRA-2024-EOSC-01, 2024)
Start date: 2025-09-01
End date: 2028-12-31
Duration (months): 40.0
Total project cost (EUR): 6999213.75
EU funding (EUR): 6999213.75
Participants: 26
Project status: SIGNED

According to the European Research Data Landscape – Final report, a survey involving almost 9,898 responders, highlighted some of the main barriers to management and sharing of research data: time, effort, storage, skills required, and the lack of recognition and data protection. RAISE Suite will develop a system specifically designed to remove barriers to data sharing, replacing technological achievements that do not influence researchers’ attitude towards sharing data. To do so, RAISE Suite will develop the solutions required to automate the process from data collection to dataset generation, guided by a FAIR-by-design principle to remove barriers such as perceived effort, time, as well as skills required for data sharing. At the same time, EOSC-RAISE will be integrated into RAISE Suite, for a platform which supports simple dataset sharing and exploitation, mitigating the sense of lack of recognition and data protection among researchers. Furthermore, RAISE Suite will implement a DMP-guided data collection and management policy. In particular, RAISE Suite will not only adopt a Machine Actionable Data Management Plan (ma-DMP), but further extend it to support designated actions, τurning the persistent identifier DMP-ID into the main reference point for the whole data lifecycle, following research activities, making the connections with underlying algorithms and data, and updating the DMP accordingly from collection, depositing and storing, to discovery, management, processing, reusing and exploitation. RAISE Suite capitalises on the results of a previously funded EC initiative. To this end, RAISE Suite will leverage work done by the EOSC-RAISE project, incorporating its technical platform that moves from open data to data open for processing, introducing the technology required to cover the data lifecycle from the data collection to the dataset generation.

Keywords: open science,researchers attitude,research infrastructure,crowdsource network,data management plan
Structures for modal and deontic logics (REMODEL)

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: Mathematics
Countries involved: Austria
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 183600.96
EU funding (EUR): 183600.96
Participants: 1
Project status: CLOSED

Reasoning with and about norms is central in a variety of fields, ranging from legal reasoning to machine ethics. Deontic logics provide a logical framework to give a formal and rigorous presentation of the inferential patterns involved in normative reasoning. However, beside describing and representing, it is crucial to have explanations as to why a certain norm applies or not. In logic, positive explanations come in the form of derivations, whereas negative explanations can be identified with countermodels. The REMODEL (StRucturEs for MOdal and DEontic Logics) project will introduce proof calculi to analyze and explain normative reasoning. The calculi thus introduced will be Gentzen-style systems, i.e., analytic proof calculi in which the proofs result from a stepwise decomposition of the conclusion according to rules. The researcher has carried out several studies on the proof theory of modal and related logics and he aims to use his expertise in the field to carry out a dedicated research program in deontic logics. The REMODEL project will tackle the problem of defining analytic proof systems for monotonic deontic logics and non-monotonic ones, employing the methodologies of structural proof theory. Finally, he will study the relation between deontic and modal logics establishing formal embeddings via proof transformations. The collaboration with the supervisor will be essential and the researcher will benefit from her experience both in the fields of proof theory and deontic logics.

Keywords: proof theory deontic logics modal logics normative reasoning
BreakIng FrOntiers in sustainable and circular biocomposites with high performance for multi-sector applications (BIOntier)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Greece,Italy,Germany,Spain,France,Sweden,Belgium,Türkiye,Austria,Estonia,United Kingdom,Netherlands
Call: High performance, circular-by design, biobased composites (HORIZON-JU-CBE-2023, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 8345472.5
EU funding (EUR): 7017866.0
Participants: 26
Project status: SIGNED

BIOntier offers innovative solutions to environmental challenges and establishes a holistic, integrated, and industrial-driven platform for the design, development, and scalable fabrication of the next generation of cost-effective, sustainable, lightweight, recyclable bio-based composites (BioC) with enhanced properties (e.g. thermal, mechanical, chemical), functionalities (e.g. corrosion, chemical and fire resistance, hardness and impact resistance, high temperature resistance, structural health monitoring). BIOntier will also advance manufacturing processes, enhancing synthesis and stability and reducing environmental impact. Such BioC and manufacturing capabilities will allow robust connections with end-users and thus develop and qualify the commercial propositions to high TRLs. BIOntier will develop, demonstrate, and validate the efficacy of BioC-enabled products (6 use cases) which will underlie future technologies for different sectors (e.g. automotive, aerospace, energy (hydrogen economy) and water treatment). BIOntier also supports the innovation output and industrialization efforts of the EU initiatives and strategies for circular bioeconomy, building a credible pathway for the newly accumulated knowledge to impact EU industry and society. BIOntier will support a strong EU value chain in translating technology advances from TRL4-5 into concrete innovation opportunities and production capabilities (TRL6-7), with first-mover market advantages of scale in the defined industrial sectors. The consortium consists of 25 partners from 12 countries, representing the full value chain, with leading OEMs, large industries, world-class research and education organisations, and innovative SMEs. BIOntier is designed to ensure maximum impact for the defined industries and society as a whole, significantly contributing to the evolving field of BioC.

Keywords: industrial demos,testingandvalidation,environmental challenges,sustainability,recyclability,lca