Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
DIgital health in Circular Economy (DICE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Circular economy and bioeconomy sectors
Action type: Innovation actions
Countries involved: Belgium,Switzerland,Netherlands,Spain,Slovenia,Denmark,Poland,Norway,Germany
Call: Increasing the circularity in textiles, plastics and/or electronics value chains (HORIZON-CL6-2021-CIRCBIO-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 9210393.54
EU funding (EUR): 7733912.13
Participants: 24
Project status: SIGNED

DICE aims to develop and demonstrate novel, circular and environmentally sound solutions to design, collect, directly reuse, refurbish, remanufacture and recycle digital health devices (ePaper label, smart wearable sensor, smart pill box, endo-cutter), which will contribute to enabling a circular transition. Solutions will be implemented, tested and demonstrated in five healthcare ecosystems reflecting the geographical spread within Europe through community-engaged pilots in Norway, Belgium, Slovenia, Spain and Germany. DICE will contribute to mitigating the globally expanding health waste problem covering three material streams -electronics, plastics, metal- and alleviate shortage of critical and valuable raw materials, while protecting the health and safety of those involved in realising the circular economy. Exploitation of key outputs will be ensured by all partners throughout and after the project and will be further extended to adjacent sectors through existing networks and platforms within which the partners are represented.

Keywords: health,process innovation,smart manufacturing,supply chain management
TIDAL ArtS: TransformIng anD inspiring Aquatic Landscapes through Art and Sciences (TIDAL ArtS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Ocean, seas and waters
Destination: Ocean, seas and waters
Action type: Coordination and support actions
Countries involved: Germany,Spain,Hungary,Ireland,Finland,Portugal,Belgium
Call: Ocean & water and arts: the contribution of creative sectors to Mission Ocean and waters (HORIZON-MISS-2023-OCEAN-01, 2023)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 1999982.5
EU funding (EUR): 1999982.5
Participants: 9
Project status: SIGNED

TIDAL ArtS: TransformIng anD inspiring Aquatic Landscapes through Art and Sciences will reconcile the dichotomy of human versus nature, tackling the current climate, environmental and biodiversity crisis. To this end, art and science will work in alliance with civil society, citizens, cultural and technological institutions to increase awareness about the challenges faced by the ocean and inland waters and inspire the mobilisation of creative solutions for their protection and restoration. TIDAL ArtS puts forward an interdisciplinary and interspecies approach that involves scientists (as knowledge holders), citizens (as end users and co-creators of the public space), artists and creatives (as those who can look at the current challenges from a unique perspective and engage the public through symbolic and performative work). Our approach challenges the binary thinking that has historically divided nature and culture (as well as humans and non-humans) and engages instead with a tidal logic that nurtures currents of influence between disciplines and species. Taking water as both a subject and a praxis, TIDAL ArtS engages with the cyclical movement of water as a co-design methodology, with several rounds of contact with local citizens, scientists, and cultures in each phase, progressively widening the waves of influence of the project.

Keywords: citizen engagement,blue economy,art,science,ecosystem regeneration,awareness raising,co creation,third party funding,social inclusion,interspecies assembly,dissemination,culture
Resilient manufacturing lines based on smart handling systems (SMARTHANDLE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Spain,Greece,Netherlands,Germany,Luxembourg,Belgium
Call: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5995176.25
EU funding (EUR): 5995176.25
Participants: 15
Project status: SIGNED

Manual and automated production lines must evolve to “produce more and diverse with less”, however they need to address shortcomings such as - high product variants requiring tool level dexterity and resource level reconfigurability - lack of cognitive perception systems to allow autonomous reasoning and operation - absence of adaptable control to accurately handle a variety of workpieces and materials, and - inefficiency of planning systems in addressing holistically all hierarchical production levels. SMARTHANDLE will research technologies to address these needs and support European industry, by implementing a) intelligent, reconfigurable agents to provide dexterity in a range of handling applications, b) AI based reasoning enablers to optimize the flexibility potential of these agents and c) Higher-level planning and coordination mechanism to allow the successful and scalable deployment of such solutions in real life use cases. SMARTHANDLE is a research and innovation action (RIA) nevertheless, it acknowledges that such technologies can be meaningful only if they lead to solutions that address real life needs. Thus it has engaged 3 use cases from the consumer goods (MENICON-handling of deformable, delicate and high precision parts: contact lenses), Metal Industries (ALUMIL- packaging of large variable section materials: aluminum profiles) and automotive tier-1 suppliers (ABEE- disassembly of complex products: batteries) involving dexterous operations that are not possible to implement with the existing technologies. SSH aspects will be addressed, demonstrating benefits for workers by reducing their involvement in unsafe and unhealthy tasks, improving their working conditions when working in areas where the SMARTHANDLE reconfigurable solutions will operate.

Keywords: dexterous tooling,smart mechatronics,digital twin,workpiece perception,grasp planning and control,multi arm motion planning,machine learning,ai reasoning,multi level hierarchical control
Diversibus Viis Plurima Solvo (DVPS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Italy,United Kingdom,Belgium,Germany,Poland,Austria,Spain,Netherlands,Switzerland
Call: Advancing Large AI Models: Integration of New Data Modalities and Expansion of Capabilities (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2024-HUMAN-03, 2024)
Start date: 2025-07-01
End date: 2029-06-30
Duration (months): 48.0
Total project cost (EUR): 24980650.0
EU funding (EUR): 24980650.0
Participants: 20
Project status: SIGNED

Foundation models represent a paradigm shift in AI, exhibiting remarkable capabilities across multiple tasks. Their true potential lies in generalizing across diverse domains and modalities, a largely untapped frontier. DVPS advances this frontier by focusing on multimodal foundation models (MMFM), aiming to harness their capabilities across various application domains. DVPS emphasizes three core benefits of MMFM: label efficiency, compute reusability, and engineering efficiency. However, achieving these benefits in multimodal settings presents challenges such as modality-specific architecture and cross-modal alignment. To overcome these, DVPS aims to develop generalizable methods that work across diverse modalities and domains, creating a unified framework for MMFM development and integrating new modalities into existing models. The project focuses on generating foundational knowledge, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. DVPS also includes two "surprise domains" to drive innovation by challenging initial assumptions. Key objectives include the development of AutoDVPS, a toolkit for automated MMFM design, and the creation of DVPSBench, a benchmarking suite for evaluating MMFM across tasks and domains. DVPS aims to foster a European ecosystem for MMFM research, promoting transparency, fairness, and ethical compliance in line with European values. Through collaboration and open-source contributions, DVPS seeks to standardize and advance MMFM as a scientifically rigorous discipline.

Keywords: machine learning,multimodal data,transfer learning,evaluation metrics,open source software,healthcare,cardiology,earth observation,language processing,data integration,human computer interaction,ethical ai,data privacy
Plant mitochondrial genome engineering: technology development and application to study fundamental aspects of mitochondrial gene expression (PlaMitEng)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

PlaMitEng has the highly ambitious overall objective to make the mitochondrial genome of seed plants amenable to genetic engineering. The project consists of two complementary work packages (WPs). In WP1, TALEN-GDM, a technology for plant mitochondrial genome editing recently developed by us will be used to systematically study plant mitochondrial gene expression in vivo. The focus will be on translation initiation and translational regulation in mitochondria, the mechanisms of which are currently completely unknown. In WP2, PlaMitEng will develop a technology for direct genetic transformation of the plant mitochondrial genome. The mitochondrial genome is the only genome of the plant cell that, due to the lack of a mitochondrion-specific selection system, is not amenable to transformation and has remained recalcitrant to the insertion and expression of transgenes. Taking advantage of (i) our recent construction of a mitochondrion-specific selectable marker gene, (ii) the generation of a dedicated recipient line for mitochondrial transformation, and (iii) the design of a new transformation strategy (referred to as multivectorial transformation) that will enable the large-scale testing of expression elements for their suitability to drive the expression of mitochondrial transgenes in vivo, PlaMitEng will pursue the development of a robust technology for transformation of the plant mitochondrial genome. The possibility to express transgenes from plant mitochondrial genomes will open up entirely new opportunities in both basic and applied research, and pave the way to harnessing the enormous potential of mitochondrial biotechnology and synthetic biology.

Keywords: mitochondrion translation translational regulation plant transformation
Quantum Chemical Design of Molecular Magnets (ezEmbedMagnet)

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: Belgium,Austria
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2024-10-31
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 2
Project status: CLOSED

A reliable ab initio description of molecular magnets is key to developing a new era of quantum devices that will be more efficient and easier to tune by structural modification of their building units. However, quantum mechanical treatment of such systems is challenging due to their multi-configurational wavefunctions, requiring a well balanced description of their constituent electronic configurations. Furthermore, these systems are often large magnetic molecules or atoms deposited on supports whose models include hundreds of atoms, hampering the application of accurate ab initio methods; yet small energy gaps (from tens to hundreds of wavenumbers) call for quantitative accuracy. The aim of this project is to design new molecular magnets, practical for real-world applications. To this end, I will employ a new and affordable computational strategy that combines accurate equation-of-motion coupled-cluster (EOM-CC) theory on the magnetic center with more approximate density functional theory (DFT) on the remainder, avoiding costly EOM-CC calculations on the full system. I will combine interdisciplinary approaches, EOM-CC-in-DFT for open-shell species and tools computing magnetic properties from ab initio calculations, to determine how microscopic interactions (spin-orbit and Zeeman) contribute to macroscopic magnetic properties and how these are optimized in two model systems: (i) a cobalt(II) single-molecule magnet and (ii) single cobalt atoms on the MgO(001) and Cu(111) surfaces. This project will enable, through collaboration between researchers with complementary expertise, a transfer of knowledge across multiple fields, such as solid-state physics, quantum chemistry, and molecular magnetism. Via research training including a secondment, I will explore new approaches; e.g. modelling metal surfaces, periodic wavefunction theories, and periodic embedding theories, which will be crucial to cultivating my place as an expert in this field.

Keywords: electronic structure,open shell species,magnetic properties,quantum technologies,quantum embedding theories,equation of motion coupled cluster theory
The impact of SA signaling in CWI impairment and downstream factors (WallSATisFaction)

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: Norway
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-04-01
End date: 2025-09-30
Duration (months): 30.0
Total project cost (EUR): 210911.04
EU funding (EUR): 210911.04
Participants: 1
Project status: SIGNED

The plant cell wall (CW) is a crucial defense layer surrounding plants cells. CW composition and structure are directly associated with environmental stresses and biomass production. Cell Wall Integrity (CWI) maintenance is a crucial key player responsible for monitoring and maintaining plant CW composition and structure under biotic and abiotic stresses. Thus, the new knowledge and understanding of the CWI machinery have enormous potential to increase crop production and develop new highly adaptive crop species. The CWI maintenance mechanism involves receptor-like kinases and ion channels in the plasma membrane, which perceive signals arising from CWI impairment and modulate downstream signaling cascades, leading to changes in cytoskeleton organization, phytohormone production (ABA, SA, JA, and ethylene), gene expression, and cell wall composition/structure. I will use my expertise in signaling transduction pathways and combine them with the knowledge and skill used host lab on CWI signaling pathways to determine the mechanism regulating SA responses and downstream factors of plant cells in CWI impairments. Therefore, my project aims to discover transcriptional regulators mediating the response to impairment of primary cell wall integrity and characterize signal transduction elements controlling SA induction and modulating SA-controlled responses. I will share the results with the scientific community and the public using social networks, attending international conferences, and publish research outcomes in a high-impact scientific journal in an open-access format. This project will form the foundation of my future career as a researcher, and the project results can be used to increase crop production and develop new highly adaptive crop species.

Keywords: salicylic acid,transcription regulators,cell wall,cell wall integrity maintenance,cell wall impairment,arabidopsis thaliana
Making sense of the senses: Causal Inference in a complex dynamic multisensory world (MakingSense)

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: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-04-01
End date: 2029-03-31
Duration (months): 60.0
Total project cost (EUR): 2499527.0
EU funding (EUR): 2499527.0
Participants: 1
Project status: SIGNED

To interact effectively with the complex dynamic and multisensory world (e.g. traffic) the brain needs to transform the barrage of signals into a coherent percept. This requires it to solve the causal inference or binding problem - deciding which signals come from common sources and integrating those accordingly. Doing so exactly (i.e. optimally) is wildly computationally intractable for all but the simplest laboratory scenes. It is unknown how the brain computes approximate solutions for realistic scenes in the face of resource constraints. This ambitious interdisciplinary project combines statistical, computational, behavioural and neuroimaging (3/7T-fMRI, MEG/EEG, TMS) methods to determine how, and how well, the brain solves the causal inference problem in progressively richer multisensory environments. The key hypothesis is that observers compute approximate solutions by sequentially selecting subsets of signals for perceptual integration via attentional and active sensing mechanisms guided by the perceptual tasks they are executing, their prior expectations about the world’s causal structure, and bottom-up salience maps. I will build parallel normative/approximate Bayesian and transformer network models of these processes and combine those with behaviour and neuroimaging to unravel the neurocomputational mechanisms. The project will develop a novel computational and neuromechanistic account of causal inference in more realistic multisensory scenes, addressing fundamental questions about binding, inference and probabilistic computations. By bringing lab research closer to the real world it will radically alter our perspectives - shifting from near-optimal passive perception in simple scenes to active information gathering in the service of approximate solutions in more realistic scenes. It has the potential to inspire new AI algorithms and drive transformative insights into the perceptual difficulties older and clinical populations face in the real-world.

Keywords: multisensory audiovisual integration,multisensory audiovisual perception,bayesian causal inference,normative and approximate bayesian inference,perceptual inference,audiovisual,bayes optimal,attention,binding,neuroimaging,fmri,meg,eeg,laminar analyses
Development of Suprasensors and Assays for Molecular Diagnostics (SupraSense)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 1994069.0
EU funding (EUR): 1994069.0
Participants: 1
Project status: SIGNED

SupraSense combines completely new strategies to design and realize biomimetic artificial receptors for bioactive small molecules, i.e. metabolites, with the aim of overcoming long-standing selectivity and sensitivity limitations that hindered other synthetic sensory systems from reaching diagnostic applications. Sophisticated yet easy to fabricate “SupraSensors” will be developed based on unprecedented hybrid zeolitic materials whose binding cavities are modulated by peptide-based cofactors, thereby mimicking enzyme pockets. SupraSensors will be functional and directly applicable for molecular diagnostics in urine, saliva, and blood and will be of utility in point-of-care units and personal homes. Emphasis is given to the detection of metabolites that are important disease indicators. I am an expert on “conventional” synthetic chemosensors and have studied both their merits and fundamental shortcomings. Out of this deep routed analysis, I developed the proposed ambitious strategy that marries principles of molecular recognition with materials science and chemistry-informed deep learning. These SupraSensors will advance the field through the following elements: i) high-energy water release from microporous materials ensures high binding affinity; ii) strategically placed peptide-based recognition elements provide selectivity while offering synthetic tunability; iii) information-rich signal output from SupraSensor libraries enables metabolite distinction in biofluids; iv) novel signal amplification concepts increase sensitivity. SupraSensor discovery will be fast and generalizable to many metabolite classes. SupraSense has the potential to unleash supreme opportunities for multiparameter diagnostics, which will be essential for patient subgrouping based on metabolic phenotypes. The new concepts developed herein have the prospect to revolutionize early detection of emerging cardiovascular events, inflammations, sepsis, and other metabolic or aging-associated diseases.

Keywords: supramolecualr chemistry,sensing,molecular diagnostics,materials and assay development,deep learning