Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mental Files: New Foundations (FILE)

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
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1870231.0
EU funding (EUR): 1870231.0
Participants: 1
Project status: SIGNED

This project is about the representation of particular objects in language and thought, a topic which has been at the forefront of philosophical attention for more than a century. About fifty years ago, ‘descriptivism’ was demoted from its dominant position in philosophy in favour of the theory of ‘direct reference’. A similar shift away from descriptivism has been a noticeable feature of work on the representation of objects in cognitive science, where the notion of an ‘object file’ has made it possible to unify research on perception and on infant cognition. The object file construct is in many respects similar to the philosophical idea of direct (non-descriptive) grounding for thoughts about particulars, and this has given rise to a new research program: the generalization of the file idea from perception to thought. Thus the last decade has seen the development of the mental file framework, according to which nondescriptive thoughts about particulars (so-called ‘singular thoughts’), whether or not they are based on perception, involve mental files whose 'reference' does not depend on category information to be found in the file but on certain relations to the object the obtaining of which triggers the opening of the file. The mental file framework has attracted considerable attention not only in philosophy, but also in psychology (Perner) and linguistics (Kamp). It has also inspired work in aesthetics and the philosophy of fiction. Successful though it is, the mental file framework currently faces what may be described as a foundational crisis. According to a recurrent piece of criticism, it fails to provide appropriate identity and persistence conditions for mental files. This threatens the credibility of the framework, reduced to a convenient metaphor, and puts it at risk despite its high promises and considerable appeal. The aim of this philosophical project is to end the crisis by entirely rethinking the foundations of the framework.

Keywords: singular thought,reference,mental representation,mode of presentation,individuation
Synergistic Agent for General Medical AI (SAGMA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Artificial intelligence (AI) holds immense potential for revolutionizing radiology by enhancing diagnostic accuracy, efficiency, and personalized patient care. However, current AI applications are limited to only specialized taskArtificial intelligence (AI) holds immense potential for revolutionizing radiology by enhancing diagnostic accuracy, efficiency, and personalized patient care. However, current AI applications are limited to only specialized tasks, thus failing to capture the complexity of radiological practice, which requires integrating multimodal data and nuanced decision-making. My vision with SAGMA is to develop an agent-based General Medical AI (GMAI) system that overcomes these limitations by combining specialized AI models with generalized reasoning capabilities. The project is structured around three central objectives: 1. Develop specialized image analysis AI models in a scalable manner by leveraging large language models (LLMs) to extract structured data from existing radiological reports. This will enable efficient training across various radiological tasks using unstructured clinical data. 2. Assemble a GMAI system using a LLM as an agent that coordinates the specialized AI models, incorporates uncertainty estimates, and integrates additional tools such as clinical guidelines and laboratory values. This system will utilize multimodal inputs to support comprehensive decision-making. 3.Validate the utility of the agent-based system in realistic clinical settings by assessing its impact on diagnostic accuracy, efficiency, and the overall radiological workflow, ensuring acceptance by clinical experts. By achieving these objectives, SAGMA will bridge the gap between current AI capabilities and the multifaceted nature of radiological practice. The project will demonstrate how an agent-based GMAI system can augment and empower human expertise, potentially transforming radiology and paving the way for similar advancements in other medical specialties.
Isotopes in soils: modeling transport under climate interactions (ISO-SOITIN)

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: Finland,Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 226276.8
EU funding (EUR): 226276.8
Participants: 2
Project status: SIGNED

The stable natural isotopes 18O, 2H are instrumental hydrological tracers, widely used to study historical climate change. We explore the opposite approach and study how climate change, which is expected to increase temperatures and climate variability, affects isotope tracer signal quality. Signal quality refers to the extent that water can be traced to distinct infiltration events. As isotope fractionation processes are strongly governed by ambient temperatures, we hypothesize that the signal quality of isotope tracers infiltrating into soils may increase under climate change. However, competing effects that degrade signal quality occur during transport through the vadose zone, yielding uncertain total effects on signal quality. E.g., water may experience more frequent and substantial reversals in flux direction, causing more mixing and information loss. In heterogeneous soils, horizontal mixing, and the spatially separate transport of isotopes and heat (which affect fractionation rates nonlinearly) may further degrade signals across multiple spatial scales of observation. Signal alteration by climate change is especially impactful in cold regions: snowfall has different isotope compositions than rainfall, and freeze-thaw and sublimation-deposition fractionation also occur. Thus, we develop models to simulate isotope transport and fractionation in the vadose zone under spatio-temporally heterogeneous fluxes, validated with field data from diverse vulnerable cold regions. We aim to study how complex interactions arising from climate change, transient fluxes, and soil heterogeneity affect signal quality, and identify implications for isotope tracer research under changing climates. If signal degradation is substantial, paradigm shifts to two-way complex interactions between isotope tracer signals and signal quality is necessary: research must consider how signal quality changes, together with how the signal itself changes, both of which are not easily disentangled.

Keywords: reactive transport modelling vadose zone spatial and temporal heterogeneity,nonlinear complexity,upscaling
6G SHort range extreme communication IN Entitites (6G-SHINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Denmark,Spain,Germany,Belgium,Italy,Greece,United Kingdom,Netherlands,Finland
Call: Communication Infrastructure Technologies and Devices (HORIZON-JU-SNS-2022, 2022)
Start date: 2023-03-01
End date: 2025-08-31
Duration (months): 30.0
Total project cost (EUR): 5097275.0
EU funding (EUR): 4667179.0
Participants: 12
Project status: SIGNED

The 6G-SHINE project will pioneer the main technology components for in-X wireless subnetworks, short range low power radio cells to be installed in a wide set of vertical and consumer entities like robots, vehicle, production modules, classrooms, for the sake of supporting extreme communication requirements in terms of latency, reliability, or data rates. 6G-SHINE will leverage the opportunities offered by the peculiar deployment characteristics of such short range subnetworks, for a highly performant yet cost-efficient radio design that allow to bring wireless connectivity to a lever of pervasiveness which has never been experienced earlier. 6G-SHINE copes with topics "New IoT components and devices" and "New physical layers and associated protocols" of strand B-01-03 in the SNS work programme. Research will span physical layer, medium access control protocols, radio resource management of these in-X subnetworks, as well as connection with a broader 6G 'network of networks'. The performance of the designed solutions will be analyzed via simulations, and -for selected technologies- over demonstrator platforms. The project will result in a broad set of technology solutions that will be disseminated via scientific publications. Also, the designed solutions will be brought to future 6G standardization, and will be used in future telecommunication equipment and networks. The consortium consists of 12 partners that together bring essential expertise to each of the identified technologies with a mixture of academic institutions and industry players with a strong research department, representing the essential parts of the value chain of wireless short range communications.

Keywords: subnetworks urllc phy mac radio resource management ris wireless architectures
detailed 3D Building models Automatically Generated for very large areas (3DBAG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Netherlands
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-09-01
End date: 2024-02-29
Duration (months): 18.0
Total project cost (EUR): 175714.29
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

In the ERC project Urban Modelling in higher dimensions (UMnD) we developed a solution for detailed 3D Building models Automatically Generated for very large areas (3DBAG). This prototype was applied to generate detailed 3D models for all 10 million buildings in The Netherlands. Such a digital twin of built objects provides a valuable data source and simulation basis for professionals working in planning, design, construction, energy, real estate, as well as for environmental impact studies on noise, floodings, wind flows, air quality and urban heat islands. 3D models are already used in specific domains, but it takes a lot of effort to generate suitable 3D building models for a given application due to the required manual editing. Therefore, detailed 3D models are rarely available for large areas (regions or nations). The solution lies in the unique method we developed, which enables to generate high-quality, easy-to-use 3D building models fully automatically at national scale to be used without any technical or legal restriction. This will be a breakthrough for the use of 3D data in current and new applications. With the beta-release of the Dutch 3DBAG and the subsequent wide adoption and application of it by industry and government, the effectiveness of 3DBAG has been demonstrated. This PoC aims to further advance 3DBAG from the current TRL6 to TRL9. Firstly, we will make 3DBAG technically sustainable by addressing issues to achieve even higher adoption, supporting more height data sources as available in other countries and to prepare for the maintainability and performance of our method in an operational setting. Secondly, we will explore how to best ensure the economical sustainability of 3DBAG by clarifying the IPR and licencing strategy and assessing the market potentials (extending our current relations), the users’ interest to pay for value added services and possible international expansions.
Swarming supramolecular robots (Suprabot)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure -properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 2871250.0
EU funding (EUR): 2871250.0
Participants: 1
Project status: SIGNED

Biological robots perform complex biological functions such as cell division. Microtubule-asters, for example, use extendable ‘legs’ emanating from a central point to position themselves at the center of the cell or to mechanically pull chromosomes apart. Their legs are formed by dissipative supramolecular polymerization of tubulin dimers into microtubules, powered by guanosine triphosphate ‘chemical fuel’. This ‘Suprabot’ ERC-CoG proposal aims to make fully synthetic analogous of the microtubule-asters. Suprabots are multilegged micron-sized supramolecular robots that can change shape, move directionally, and show collective swarming behavior when in close proximity of each other. A single suprabot ‘leg’ consists of a supramolecular polymer bundle that is powered by chemical fuels and/or by light under non-equilibrium conditions. The needed reaction cycles to extend and contract a single ‘leg’, and the leg dynamics that are obtained under non-equilibrium conditions are investigated in work package 1. The legs are attached to a central point by accurately controlling (secondary) nucleation in a microfluidic device. This allows multiple legs to exert forces onto the walls of various microfluidic channels resulting in directed motility in work package 2. Finally, many suprabots are placed in close proximity, where they push against each other, resulting in collective ensemble-behavior. This leads to dynamic suprabot-lattices and collective swarm rotation if supplied with enough chemical energy or light in work package 3. Suprabots compete for shared resources and can develop predatory behavior. Suprabot serves as an integrative platform to bring together so far disjoint concepts in Supramolecular Systems Chemistry and Swarm Robotics, to bring us closer to biological-like functions in fully artificial chemical systems.

Keywords: systems chemistry,chemical fuel,light driven,supramolecular polymers,dissipative self assembly
Circular fuel supply for air transport via negative emission HTL conversion (CIRCULAIR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Denmark,Spain,Italy,Sweden,France
Call: Carbon-negative sustainable biofuel production (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 4999915.0
EU funding (EUR): 4999914.25
Participants: 10
Project status: SIGNED

Achieving climate neutrality in Europe requires large volumes of truly sustainable fuels to provide long-term solutions for transport sectors where direct electrification is not viable. CIRCULAIR addresses this challenge with an integrated biofuel pathway that produces cost-effective aviation fuels and generates negative emissions. Key innovations of CIRCULAIR involve a close thermal coupling of hydrothermal liquefaction (HTL) conversion, based on abundant and available agricultural residues and lignocellulosic crops, with exothermic wet oxidation of HTL process water. In this way, autothermal operation can be achieved, carbon is fully utilized, and the process water disposal problem of HTL is solved. In addition, CIRCULAIR develops innovative approaches to upgrade HTL biocrudes to jet fuel and accelerates the approval of HTL fuels for civil aviation. The biomass resource utilization is maximized by developing valorisation schemes for all relevant side streams along the process chain. In particular, acetic acid will be extracted from residual process waters and methanol will be synthesized from effluent gas streams and renewable hydrogen. Importantly, CIRCULAIR will close a knowledge gap regarding the utilization of fixed carbon in the HTL solids for carbon sequestration and soil amendment, i.e. for a negative contribution to the carbon balance. The targeted overall net-negative emission will be quantified based on life cycle analysis. Finally, techno- and socio-economic analyses will identify important benefits and trade-offs associated with the advanced biofuel process. In summary: CIRCULAIR will investigate and develop an innovative process for resource-efficient production of sustainable aviation biofuels alongside further marketable renewable chemicals and fuel products. The utilization of biomass feedstock that is abundant in agricultural environments ensures cost-efficiency, relevant scale and the potential to create net-negative carbon emissions.

Keywords: jet fuel,negative emissions,hydrothermal liquefaction,sectorial coupling,renewable hydrogen
ECM and TFEB interplay: from building multidisciplinary devices to unravelling the missing link in cancer (ETICAN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-11-01
End date: 2025-10-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Over the last 30 years, researchers have shown that tumor cells not only need to accumulate oncogenic genetic alterations, but also rely on permissive cues from a surrounding extracellular matrix (ECM) for malignant progression. However, reconstructing the tumor niche in vitro has not been easy due to the complexity of its intertwined physico- biochemical properties and the limitation of the available biomimetic scaffolds. Furthermore, preclinical studies have mainly focused on druggable targets at the intracellular signaling level and overlooked the implication of the ECM. To overcome these hurdles, we will unravel the ECM mechano-chemical contribution in tumorigenesis and its continuum interaction with tumor cells in 3 steps. First, we will deconstruct bladder cancer ECM through in-depth analysis of its physical and biochemical features. This will provide us a blueprint to follow, in order to build a tailored microenvironment for bladder tumoroids. Then, we will reassemble ECM properties in a new generation of tunable materials, functionalized with ECM proteins secreted by bladder cancer cells in vitro. Using our developed tumoroid model, we will finally chart the reciprocal crosstalk between extracellular cues and transcription factor EB (TFEB), an emerging oncogene and regulator of tumor microenvironment. By bridging the gap between ECM and TFEB regulation, we anticipate to catalyse the success of cancer prevention and therapy leveraging new druggable targets at the level of the reciprocal feedback between the evolving ECM and tumor cells.

Keywords: ecm,tumoroids,tfeb,microfluidics,precision medicine
Biotechnological Enhancement of Bee Products for Sustainable and Functional Foods in Well-Aging (BEE-TECH)

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: Türkiye,Germany,Romania
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): 1603915.71
EU funding (EUR): 1397790.0
Participants: 7
Project status: SIGNED

The BEE-TECH initiative aims to revolutionize bee-derived products by developing next-generation functional ingredients and powdered superfood blends with high biological value and well-aging benefits. By leveraging cutting-edge processing technologies and eco-friendly extractionThe objective of BEE-TECH initiative is to reinvent bee products, creating innovative functional ingredients and powdered superfood blend for further products applications with significant biological value and health well-aging advantages. To achieve this goal, bee products, including propolis, pollen, royal jelly, and bee bread from various BEE-TECH partners' geographical locations, will be gathered through partnerships with beekeepers. These samples will undergo thorough analysis to assess their composition, nutritional value, and health-related aspects. The collected samples will be utilized in their original forms and as extracts obtained through novel, environmentally friendly green techniques. These extracts, along with other samples, will be incorporated into the development of new functional powdered superfood blends as well as other functional foods, broadening the application of these high-health-value products. The resulting functional formulations (concentrated source of nutrients, antioxidants, and phytochemicals) will be characterized and evaluated for nutritional content, sensory attributes, and their potential health effects, particularly in the context of well-aging properties. Simultaneously, innovative processing methods like cold plasma, PEF, and encapsulation will be implemented to enhance the biological value or bioavailability of the functional ingredients of bee products. Besides, fermentation as a traditional technique but a novel tool for the improvement of nutritional value will also be considered. The entire range of samples will undergo assessment for consumer acceptance, and a life cycle assessment (LCA) and a business potential evaluation model will be applied.

Keywords: bee,sustainability,product development,innovation,food