Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The epistemology and politics of conceptual disagreement (ConTension)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 1
Project status: SIGNED

Conceptual disagreements are ubiquitous in social and political debates: What kind of act counts as terrorism? When is someone a refugee or an economic migrant? Are trans women women? Managing such disagreements is both urgent and practically impactful. Yet, they pose important epistemological and practical challenges. Unlike factual disagreements, we cannot simply appeal to empirical evidence to settle these questions. Instead, conceptual disagreements often involve networks of commitments, beliefs, and principles regarding the role of conceptualizations, what purposes they should serve, and who has the authority to decide what they should be. This makes it particularly difficult to exchange reasons when much of the common ground is lacking, which is often the case for politically charged concepts. The overall aim of the ConTension project is to provide a unified, practically-oriented and empirically-grounded framework that helps us understand and manage real-life conceptual disagreements. It pursues three key objectives: (1) Identifying the object and nature of conceptual disagreement, by building a model of commitment networks (beliefs, default inferences, evaluation principles, interests) inspired by inferentialism; (2) Determining the structure and hierarchy of norms in conceptual evaluation, by transposing the model of commitment networks into a network of reasons; (3) Assessing the legitimate and illegitimate role played by competing group interests in disagreement over politically charged concepts, and providing solutions for managing them when consensus is unattainable. ConTension is both a response to the recent surge of interest in questions of conceptual choice and conceptual revision within philosophy, and an innovative take on the conceptual nature of some of today’s most urgent debates and societal challenges. The outcomes of the project are intended to be relevant to philosophers, scientists, policymakers, and citizens alike.

Keywords: conceptual disagreement,argumentation,gender,pragmatism,inferentialism,deliberation
Order at the Mesoscale: Connecting supercomputing of compressible convection to classical and quantum machine learning (MesoComp)

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: Germany
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Turbulent convection flows in nature display prominent patterns in the mesoscale range whose characteristic length in the horizontal directions exceeds the system scale height. Known as the turbulent superstructure of convection, they are absent on both larger and smaller scales and evolve in ways not yet understood; but they are an essential link in the heat and momentum transport to larger scales, an important driver of intermittent fluid motion at sub-mesoscales, and one major source of uncertainty in the prognosis of climate change and space weather. In MesoComp, I will investigate the formation of superstructures in massively parallel simulations of compressible turbulent convection in horizontally extended domains, aiming for a deeper understanding of their dynamical origin and role in the transport of heat and momentum. I will then use these high-fidelity simulations to build recurrent machine learning models to predict the evolution and statistics of the superstructure and thus quantify the transport fluxes beyond the mesoscale. I will also analyse the impact of the mesoscale structures on the highly intermittent statistics at the small-scale of the flow and reveal the resulting feedback in the form of improved subgrid parametrizations by means of generative machine learning. MesoComp opens additional doors to the application of quantum algorithms in machine learning which significantly improve the statistical sampling and data compression properties compared to their classical counterparts. From a longer-term perspective, my research results in a quantum advantage for the numerical analysis of classical turbulence, which accelerates the parametrizations of mesoscale convection and increases their fidelity. This work will finally lead to more precise predictions of the on-going climate change and global warming. The results will also improve solar activity models and thus solar storm prognoses with impacts on satellite communication and electrical grids.

Keywords: fluid turbulence,turbulent convection,compressible turbulence,machine learning,quantum machine learning,recurrent neural networks
Cutting Edge Leap to Excellence in Space and Optics TEchnologies (CELESTE)

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
Panel: Physics
Countries involved: Spain,France
Call: Teaming for Excellence (HORIZON-WIDERA-2023-ACCESS-01, 2023)
Start date: 2025-01-01
End date: 2030-12-31
Duration (months): 72.0
Total project cost (EUR): 12000000.0
EU funding (EUR): 12000000.0
Participants: 3
Project status: SIGNED

CELESTE represents a visionary initiative by the Instituto de Astrofísica de Canarias (IAC) for positioning the Canary Islands as a hub of excellence for pioneering research and technology development centered on two interlinked domains—Advanced Optical Systems and New Space. CELESTE will elevate IACTEC (the IAC’s division dedicated to industry collaboration) into a self-sustaining Center of Excellence (CoE). This will be achieved in close collaboration with world-leading institutions, the European Space Agency (ESA) and the Centre National de la Recherche Scientifique (CNRS), who will bring key knowhow in ground-breaking knowledge areas such as advanced astronomical instrument design, quantum communication technologies for secure space-to-Earth data transmission, and the development of ultra-high precision optical elements for astronomical observations. Also, strategic managerial knowhow. A key driver of CELESTE is the Smart Specialization Strategy for the Canary Islands (2021-2027), which strongly supports the international leadership in Astrophysics and Space Sciences. A recent study by the region revealed the positive impact of the astrophysical activity to the Canary Islands' GDP, and for every million euros spent in the sector 45 jobs are generated. To scale this, CELESTE will allow to fully exploit ongoing investments that are already programmed for the next years. CELESTE project will focus on creating the core structure for the long-term autonomy of IACTEC as self-sustained CoE (securing stable agreements with international partners and ensuring financial stability), foster productive training and exchange programs to attract and consolidate talent, setting up and operating a new battery of high-tech laboratories, and build a robust ecosystem of stakeholders.

Keywords: astrophysics,new space,optical systems,astrophotonic,outermost region,technology,innovation,modernisation
Hospital@Home: Person-centered Digital Transformation for Integrated Home Care (HospitalAtHome)

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,Denmark,Sweden,Austria,Switzerland,Ireland,Belgium,Spain
Call: Boosting innovation for peopled centred integrated healthcare solutions (HORIZON-JU-IHI-2025-09-single-stage, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 21858062.5
EU funding (EUR): 14179766.25
Participants: 22
Project status: SIGNED

The Hospital@Home (H@H) project unites leading academic hospitals and industry in Europe to provide hospital-level care to patients right to their own homes. Designed around five major clinical areas – cardiovascular disease, pulmonary disease, minor stroke/TIA, migraine, and cluster headache – the H@H project is designed to improve clinical and patient-reported outcomes, enhance patient experience and reduce hospital burden to enable sustainable health systems across Europe. H@H’s powerful, interdisciplinary consortium consists of five leading European university hospitals, MedTech and Pharma partners, patient organizations, and health economics experts. Supported by a robust digital infrastructure, the project integrates wearable monitoring, AI-driven predictive analytics, patient-reported outcomes (PROMs/PREMs) and digital decision support into real-world care pathways. Patient and healthcare professional engagement, ethics, equity and system-level sustainability are structurally woven into every phase of the project’s three-phased methodology of Mapping, Testing, and Implementing. H@H directly addresses the goals of IHI Call 9 Topic 3 by overcoming real-world barriers to digital care integration while firmly placing people’s needs and preferences at the center of the care transformation. The trustworthy AI-supported H@H system will generate new evidence on patient-centered models by integrating PROMs, PREMs, and real-world data. H@H delivers scalable digital platforms and AI tools to improve efficiency, reduce costs, and enable sustainable business models. H@H will deliver actionable blueprints for Europe’s healthcare future - boosting patient outcomes while easing system burdens through high-quality, accessible home care.

Keywords: digital care integration value based healthcare patient perspective healthcare provider perspective
Food Systems in transition – ParticipatOry, Open citizen research for sustainable Nutrition (SPOON)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Belgium,Austria,Greece,Slovenia,Netherlands,Italy
Call: Citizens’ science as an opportunity to foster the transition to sustainable food systems (HORIZON-CL6-2024-FARM2FORK-01, 2024)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 5022917.5
EU funding (EUR): 5022917.5
Participants: 16
Project status: SIGNED

The global food system, responsible for up to 37% of GHG emissions, requires urgent transformation due to challenges from urbanisation and unsustainable diets. Additionally, climate change and biodiversity loss exacerbate the vulnerability of European food systems, as seen in recent climate-related disasters like wildfires and droughts, compounded by disruptions such as the COVID-19 pandemic. Despite food abundance in Europe, food insecurity threatens millions of European citizens, necessitating a comprehensive approach encompassing knowledge, technologies, behaviours, and policies that promote healthier and more sustainable food systems. Given citizen science (CS) as a potent tool for achieving these goals, SPOON takes the innovative approach to food insecurity by employing CS to empower citizens in creating a more inclusive and sustainable food environment. SPOON’s four main aims are to: deepen scientific knowledge about food environments; increase capacity of policymakers in data-driven decision-making; foster cross-sector collaboration; increase agency of citizens to change their food consumption behaviour and local food environments; and foster more confidence in citizens in sharing personal food data. SPOON bridges the intention-action gap towards healthier and more sustainable diets by placing citizens at the forefront of transforming the food system through CS integration. SPOON's conceptual framework centres around six CS Labs in Europe, coordinated by local partners and utilising a multi-actor approach. Citizens engage as both researchers and subjects, testing and validating innovative digital tools to collect, analyse and interpret data on their food consumption behaviors and local food environments to then co-design and run small-scale behaviour change interventions together with other stakeholders. SPOON prioritises GDPR compliance and FAIR principles in its data management.
Ecological Planning and Economic Rationalities: Political and Epistemological Theories in the Age of Polycrisis (EcoPlanAge)

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: Italy,United States,United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2029-01-31
Duration (months): 36.0
Total project cost (EUR): 396991.08
EU funding (EUR): 396991.08
Participants: 3
Project status: SIGNED

EcoPlanAge revisits planning as one of the crucial political concepts of the 20th century and offers a new conceptual framework for democratic ecological planning in the 21st century. With climate change, the pandemic and the war in Ukraine, expressions like ‘war economy’, ‘plan’ and ‘new deal’ have ceased to be relics of the past. Degrowth (DG), Green New Deal (GND) and Green Growth (GG) rationalities are either praising or criticizing planning as an effective tool to tackle our polycrisis. Yet, some celebrate its democratic nature, others perceive it as authoritarian. EcoPlanAge identifies an urgent need for conceptual clarification: what precisely does planning mean in the contemporary era? On what grounds is it praised or criticized? By crossing political theory, conceptual history and political ecology it shows how DG, GND, GG rationalities are still influenced by the two strains that have characterized the 1920s socialist calculation debate on planning possibilities: the formal rationality of neoliberalism and the substantive rationality of socialism. EcoPlanAge selects four authors who affect eco-planning debates: Ludwig von Mises and Friedrich August von Hayek (neoliberal strain); Otto Neurath and Karl Polanyi (socialist one). It reconstructs their epistemological and political theories and analyzes the conception of nature, time and gender that underpin their planning frameworks by highlighting the interrelation between their political theories and the concrete historical planning experiments of their time (war economies, Red Vienna, New Deal, Fascism, Nazism, Soviet planning). Finally, it discusses the utility of these planning theories in thinking about a new conceptual framework for democratic eco-planning in our age of polycrisis. The project will be carried out at the University of Bologna (Prof. Michele Filippini, Prof. Emanuele Leonardi), at Boston University (Prof. Quinn Slobodian) and at Brunel University London (Prof. Gareth Dale).

Keywords: history of political thought,conceptual history,neoliberalism,planning theories,political ecology,environmental political theory,mises,hayek,neurath,polanyi,degrowth,green new deal
Climate Change Effects on Education and the Role of Nature-Based Solutions in Mitigation (EduClimate)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Czechia
Call: ERA Fellowships (HORIZON-WIDERA-2024-TALENTS-02, 2024)
Start date: 2025-07-15
End date: 2027-07-14
Duration (months): 24.0
Total project cost (EUR): 207758.16
EU funding (EUR): 207758.16
Participants: 1
Project status: SIGNED

EduClimate aims to address the critical and underexplored issue of how rising temperatures, a consequence of climate change, impact educational outcomes in Europe. The primary objective is to quantitatively evaluate the effects of increasing temperatures on student performance across various educational systems, utilizing large-scale datasets from international assessments such as PISA, TIMSS, and PIRLS, integrated with high-resolution climate data from the ERA-5 reanalysis. The secondary objective is to explore and prioritize Nature-Based Solutions (NBS) as sustainable strategies to mitigate the negative impacts of climate change on educational environments. By employing advanced methodologies, including machine learning, GIS technology, and IoT sensors, EduClimate will model the relationship between temperature anomalies and educational outcomes, and assess the efficacy of NBS interventions. The project is highly relevant to the Horizon Europe work programme as it addresses the intersection of climate resilience and educational sustainability, offering actionable insights for policymakers, educators, and urban planners. EduClimate will fill a significant gap in current research, providing robust data-driven strategies to enhance the resilience of educational systems to climate change, ultimately contributing to the development of more equitable and sustainable societies.

Keywords: climate change and education,environmental education,educational sustainability,human development,nature based solutions
Noah Labs Vox - Detecting Worsening Heart Failure with AI-based Voice Monitoring (NL Vox)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator Open 2024 (HORIZON-EIC-2024-ACCELERATOR-02, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 3553050.0
EU funding (EUR): 2487135.0
Participants: 1
Project status: SIGNED

Heart failure (HF) is a chronic and life-threatening disease that impairs the heart's ability to pump blood, leading to high hospital admission rates and substantial costs for health systems globally. Managing HF is challenging due to the rapid deterioration of patients, leading to decompensation and hospitalization. Effective HF management aims to avoid hospitalizations through frequent monitoring and timely medication adjustments, as up to 64% of HF hospitalizations are avoidable. The existing HF monitoring methods—manual weight monitoring, telemonitoring programs, cardiac implants, and pulmonary arterial pressure devices—are inadequate. They fail to reduce hospitalization rates on a large scale, either due to imprecision, delayed detection of worsening HF, or invasive nature. As a consequence, HF patients face high re-hospitalization rates (83% hospitalized within five years), reduced life expectancy (≈50% die within five years), high costs (≈€25K), and low quality of life due to frequent hospitalizations. Healthcare providers struggle with the high-cost burden (exceeds €100Bn/year), inability to conduct timely monitoring, and lack of scalable solutions. Noah Labs introduces NL Vox, a novel patented Digital Medical Device (DMD) revolutionizing heart failure (HF) management. Utilizing AI-based voice monitoring for the first time, NL Vox detects HF decompensation up to 21 days before conventional methods, offering accurate, early worsening HF detection comparable to invasive solutions. This enables timely medication adjustments, potentially reducing HF-related hospitalizations by 30%, HF-related mortality rates by 30%, and healthcare costs by more than 30%. The objective of the EIC project is to enhance our AI model and obtain regulatory approval for market entry. Additionally, we will optimize the user interface, integrate with telemonitoring devices, and implement explainable AI techniques.

Keywords: heart failure,heart failure decompensation,heart failure management,ai based voice analysis,voice biomarkers,deep learning,digital medical device,remote patient monitoring,cardiology
Development of Innovative Membrane and Cold Atmospheric Plasma Reactor for the Degradation of Per- and Polyfluoroalkyl Substances (PFAS) (Memb-CAP)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Türkiye
Call: ERA Fellowships (HORIZON-WIDERA-2023-TALENTS-02, 2023)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 148478.4
EU funding (EUR): 148478.4
Participants: 1
Project status: SIGNED

The high chemical stability of per and polyfluoroalkyl substances (PFASs) made them widely used in industrial and commercial applications, such as surfactants and emulsifiers, causing PFASs to enter many water sources around the world. The toxic and carcinogenic PFASs that have entered our water cycle are one of the greatest concerns in the 21st century. Removal of PFAS by conventional methods results in secondary pollution, so it is essential to degrade PFAS using advanced oxidation processes. According to recent studies, the cold atmospheric plasma (CAP) treatment provides a superior purification in PFAS degradation compared to other advanced oxidation processes. However, the mineralization of short-chain PFASs with current technologies is still not possible. This challenge will be discussed in this study by combining membrane technology with cold atmospheric plasma technology (Memb-CAP). The degradation of short-chain PFASs and GenX, which health advisory level has been published recently, will be studied using the innovative Memb-CAP reactor. Based on her previous projects and studies, ER has experience in the measurement and mineralization studies of emerging compounds (especially PFAS) from water/wastewater samples by advanced oxidation processes, including CAP treatment. This study will be successful due to ER's expertise in CAP treatment as well as the expertise of the host institution, which is the leading centre for fabricating membranes in Turkey. By using both the electrical conductivity and PFAS separation capability of the fabricated membrane, it is planned to enhance the mineralization efficiency of the CAP treatment, particularly for short-chain PFAS and GenX, which are difficult to degrade. This innovative Memb-CAP reactor will provide a great leap forward in water/wastewater purification technology and will significantly progress in the transfer of CAP to a large scale.

Keywords: non thermal plasma cold atmospheric plasma emerging organic pollutants per and poly fluoroalkyl substances membranes carbon nanofibers advanced oxidation processes