Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
De-centring the Study of Migrant Returns and Readmission Policies in Europe and Beyond (GAPs)

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 Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Sweden,Germany,Netherlands,Türkiye,Iraq,Jordan,Greece,Morocco,Canada,Nigeria,Afghanistan,Poland,Tunisia,United Kingdom
Call: Return and readmission of irregular migrants in the EU (HORIZON-CL2-2022-TRANSFORMATIONS-01, 2022)
Start date: 2023-03-01
End date: 2026-02-28
Duration (months): 36.0
Total project cost (EUR): 3392025.0
EU funding (EUR): 3392025.0
Participants: 17
Project status: SIGNED

GAPs is a comprehensive study on the drivers of return policies and barriers/enablers in international cooperation on returns. The project examines the disconnects between expectations of return policies and their actual outcomes by de-centering the dominant, one-sided understanding of “return policymaking.” GAPs will: a) scrutinize the shortcomings of the EU’s governance of returns with both its internal and external dimensions; b) analyse enablers and barriers of international cooperation c) shed light on the perspectives of migrants themselves to understand their knowledge of return policies, aspirations and experiences. By taking a close look at governance, cooperation and actor’s agency, the project is able to suggest new avenues for international cooperation, develop recommendations for stakeholders and explore alternative pathways to returning migrants. The project combines its decentering approach with three innovative concepts: a focus on return migration infrastructures that enable GAPs to analyze governance fissures; an analysis of return migration diplomacy to understand how relations among EU MSs and with third countries hinder cooperation on returns; and a trajectory approach that uses a socio-spatial and temporal lens to understand migrant agency. The project achieves its aims via multi-disciplinary, qualitative and quantitative comparative research in 11 countries in Europe, Africa and the broader Middle East (including Afghanistan). The project involves wide-ranging and innovative impacts, including the creation of interactive data repository on returns, a return cooperation index, return governance indicators, policy briefs and workshops, the formation of stakeholder expert panels, a digital storytelling and video series, the launching of Massive Open Online Course (MOOC) as well as open access policy and scholarly publications.

Keywords: return migration,return and readmission policies,cooperation on returns,re integration of returnees
Neuromorphic Learning in Organic Adaptive Biohybrid Systems (NEURO-LABS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1996143.0
EU funding (EUR): 1996143.0
Participants: 1
Project status: SIGNED

Artificial intelligence has demonstrated unprecedented advances in pattern and image recognition and is widely expected to significantly increase progress in smart healthcare devices, but continues to rely on inefficient supercomputers, operating remotely. On the other hand, relevant information for these applications mostly exists locally at the physiological level. Smart personalised bioelectronic applications can be tailored to a specific and unique case – or person – with the ability to be adapted, trained and optimised over time. In this ERC project, organic neuromorphic engineering is combined with bioelectronics to achieve a tuneable neuromorphic platform, locally monitoring and modulating biosignals for the dynamic and adaptive learning control of a proof-of-principle soft robotic actuator. Due to their compliant and non-linear characteristics soft actuators are difficult to model and thus present an ideal opportunity to demonstrate neuromorphic learning control. Organic electronic materials have been successfully implemented as building blocks in neuromorphic computing and bioelectronic applications. Particularly, mixed ionic-electronic conductors possess exceptional characteristics for use in biological environments. At the interface between mechanical engineering, materials science, neuromorphic engineering and bioelectronics, neuro-labs will develop an organic neuromorphic platform, by optimisation of organic materials and circuits, and integration of sensors, neuromorphic devices, and microfluidics. We will develop a closed-loop adaptive biocircuit and demonstrate local tuning and neuromorphic learning control of a soft gripper. Finally, we will show optimised biocontrol of the gripper using biohybrid synapses modulated by the neurotransmitter environment, directly tuning the feedforward parameters in hardware. This will open a completely new field of adaptive neuromorphic biointerfaces and inspire a novel conceptual approach for learning control.

Keywords: organic neuromorphic devices,organic biohybrid synapses,mixed conductors,organic bioelectronics,microfluidics,soft actuators
Automated Synthesis of Certifiable Control Software for Autonomous Vehicles (CertiCar)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-02-01
End date: 2025-07-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Autonomous driving is a dominant technological theme of the 21st century, with vehicles from various car manufacturers equipped with different levels of autonomy. However, the implementation of safe and reliable control software remains a critical challenge for car manufacturers before fully autonomous vehicles become a reality. The current lack of reliability in autonomous vehicle software is mainly attributed to the absence of formal correctness. Design requirements are not expressed in a formal language, leading to ambiguity and false implementations. Furthermore, human factors from engineers to developers increase the likelihood of errors, and testing scenarios are limited, leaving many edge cases untested. Immature control software leading to accidents undermines public trust in autonomous vehicles and impedes further development. We propose leveraging our ongoing ERC project AutoCPS research to create robust, reliable, and formally correct automotive control software. CertiCar proposes a software development framework that automates control software generation and guarantees its robustness and reliability. A reliable advanced collision avoidance system (ACAS) is a fundamental requirement for future autonomous vehicles, significantly reducing the number of accidents, injuries, and fatalities. CertiCar's PoC project aims to provide a correct-by-design ACAS with guaranteed correctness, reducing testing time by several orders of magnitude for car companies, and represents an initial step toward a complete software stack for a certifiable autonomous car.

Keywords: advanced driver assistance systems,collision avoidance systems,safety,formal methods
ProINK4D: Engineering Dynamic Protein Hydrogels for 4D Bioprinting of Advanced Tissue Constructs (ProINK4D)

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: Spain,Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-08-18
End date: 2027-08-17
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

The ProINK4D project embarks on a transformative journey to pioneer the development of next-generation protein-engineered biomaterials for 4D bioprinting of dynamic tissue constructs. Inspired by the intrinsic versatility of intrinsically disordered protein polymers (IDPPs) with lower and upper critical solution temperature (LCST and UCST) phase behaviors, this project aims to create hybrid hydrogels by ingeniously combining protein polymers exhibiting opposite thermoresponse properties. This innovative design strategy sets the stage for the creation of preprogrammed, shape-morphing protein hydrogels, paving the way for the development of responsive protein hydrogel actuators with enhanced efficiency. With a comprehensive research plan spanning bioproduction, material characterization, bioink and bioresin optimization, and advanced 4D bioprinting, ProINK4D promises to make a significant impact on both scientific understanding and practical applications in the realms of tissue engineering and regenerative medicine. Moreover, the project emphasizes rigorous project management, research innovation, and effective science communication to ensure the highest scientific quality and societal relevance of the generated knowledge and technology.

Keywords: protein polymers,4d bioprinting,soft actuators,tissue engineering,bioinspired hydrogels,regenerative medicine
The Canopy of Heaven under a Microscope: Cataloguing Medieval Roofs (CaMeRoofs). Italy: the roofs of churches in the Veneto hinterland between the 5th and 15th centuries (CaMeRoofs)

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: Cyprus,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 148488.0
EU funding (EUR): 148488.0
Participants: 2
Project status: SIGNED

One of the most fascinating aspects of medieval churches are the complex wooden frames of the roofs and the ceilings or vaults that dominate the interior. Cataloguing Medieval Roofs (CaMeRoofs) provides a multidisciplinary research on the roofing systems (external roof; internal wooden supporting structure; ceilings and vaults) of churches built between the 5th and 15th centuries, with the goal of creating a digital geodatabase for the architectural-historical study, the history of restorations, the typological-structural classification, the cultural contextualization and the state of conservation of the roofs. This preliminary stage of the project will focus on a specific territory that has preserved several cases of original or, at least, largely intact medieval roofing systems, despite restorations or modifications: the hinterland of the Veneto region (North Italy). This area is unique in Italy for its peculiar position, because it has received diversified cultural influences through the centuries (from East to West up to Northern Europe), which favoured the creation of different types of structures. 12 major monuments will be analysed: in this way, it will be possible to have an exhaustive sampling of all types of roofing systems built between the Early Middle Ages and the Gothic era. CaMeRoofs has the ambition to be a pilot project in Italy: based on solid European research experiences in this field, the project aims at creating an advanced and generalized system for the study and cataloguing of medieval roofs that can be continuously implemented and which will benefit the documentation, conservation and management of medieval architectural heritage. In the long term, thanks to the collaboration of other researchers, it will be possible to use this geodatabase on a much larger scale to highlight diversity and aspects that unite, across space and time, geographically distant churches with the goal of creating a European corpus of medieval roofs.

Keywords: barrel vaults builders construction materials and techniques cross vaults dendrochronology domes geodatabase medieval roofing systems wooden ceilings wooden trusses 3d laserscanner
Sustainable Plasmonic Membranes for Water Remediation (SusPlasMem)

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: Germany
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Plasmon chemistry is an emerging field in which light energy is converted into chemical energy or heat in metal nanoparticles (NPs). Previously, we have investigated the degradation of small organic molecules such as brominated nucleobases and halogenated thiophenols through excitation of NPs by visible or even near-infrared light. These results inspired us to apply plasmonic nanomaterials to decompose organic micropollutants such as pharmaceuticals in waste water. Many pharmaceuticals are categorized as water pollutants of emerging concern due to their harmful effect even in trace quantities, as they may cause damage in different living organisms present in and around aquatic systems. Many studies have noticed that such micropollutants show a ubiquitous environmental presence owing to their high water solubility and due to inefficient wastewater treatment. To avoid severe environmental, human health and biodiversity problems, novel solutions for water remediation need to be developed. Within the SusPlasMem project a sustainable plasmonic membrane based on nanocellulose and plasmonic nanoparticles will be used for an efficient degradation of micropollutants by visible light. The degradation by visible light is very cost-effective and allows for the use of sunlight. The material is easy to be scaled up and the scope of molecules to be decomposed will be studied by considering representatives of antibiotics, other small-molecule pharmaceutics and polyfluorinated alkyl substances. The SusPlasMem project will focus on validating the effectiveness of the generated membranes with respect to micropollutant removal from wastewater samples. Strategies will be developed to enable water remediation in flow and a demonstrator model will be constructed. Finally, we will work in close collaboration with industry partners to establish the implementation of the technology within an industrially relevant environment.
Artificial intelligence-based decision support system for risk stratification and early detection of heart failure in primary and secondary care (STRATIFYHF)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Staying Healthy in a rapidly changing society
Action type: Research and Innovation actions
Countries involved: Germany,Slovenia,Serbia,Netherlands,United Kingdom,Switzerland,Greece,Italy,Spain
Call: Trustworthy artificial intelligence (AI) tools to predict the risk of chronic non-communicable diseases and/or their progression (HORIZON-HLTH-2022-STAYHLTH-01-two-stage, 2022)
Start date: 2023-06-01
End date: 2027-05-31
Duration (months): 48.0
Total project cost (EUR): 4495437.5
EU funding (EUR): 4495437.5
Participants: 19
Project status: SIGNED

Heart failure (HF) is a pandemic currently affecting up to 15 million people in Europe. It is a complex clinical syndrome presenting with impaired heart function and is associated with poor quality of life for patients and high healthcare costs. There is a high clinical demand for novel artificial intelligence (AI) tools which will facilitate risk stratification, early diagnosis, and disease progression assessment in HF. Such tools are essential to allow prompt initiation of evidence-based prevention and treatment strategies which will improve patient quality of life, reduce morbidity and mortality and the HF burden on healthcare. STRATIFYHF aims to develop, validate and implement the first AI-based, decision support system (DSS) for risk stratification, early diagnosis, and disease progression assessment in HF to accommodate both primary and secondary care clinical needs. The DSS will integrate patient-specific demographic and clinical data using existing and novel technologies and establish AI-based tools for risk stratification and HF prediction using machine learning. Additionally, a mobile app will be developed to empower patients to better manage their condition, and health care professionals to make informed decision in selection of evidence-based HF prevention and treatment strategies. Our multidisciplinary consortium, including three small-to-medium enterprises (SMEs) and two stakeholder organisations, will be guided by medical advice and regulatory and health technology experts to deliver the DSS as a medical class 2b device, reaching TRL 8 by the end of the project. STARTIFYHF will change the way in which HF is diagnosed today and thereby improve the quality and length of patients’ lives and lead to efficient and sustainable healthcare systems by reducing the number of HF-related hospital admissions and unnecessary referrals from primary to secondary care in Europe and beyond.

Keywords: heart failure artificial intelligence risk stratification,diagnosis disease progression assessment decision support system mobile app primary care secondary care
Hidden metastable mesoscopic states in quantum materials (HIMMS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Slovenia
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): 2422253.0
EU funding (EUR): 2422253.0
Participants: 2
Project status: SIGNED

Non-equilibrium states of matter have become of great fundamental and practical interest in recent years because of their wide importance in diverse areas of physics. With the rapid development of new time-resolved techniques, the temporal dynamics of competing processes and interactions were recently elucidated in a wide variety of complex condensed matter systems. However, the physics of metastable mesoscopically non-periodic quantum textures emerging from phase transitions has been largely experimentally inaccessible till now: current state of the art time-resolved methods using x-rays, electron diffraction, photoemission, THz and optical spectroscopy all average over multiple transition outcomes. Moreover, they cannot resolve irregular nonperiodic nanoscale structures. Thus, a large field of mesoscopic quantum physics of metastable quantum states remains largely unexplored. Here we propose to develop a unique set of tools to investigate mesoscopic metastable irregular textures created under controlled non-equilibrium conditions in quantum materials, with focus on topological transitions and quantum jamming phenomena. Temporally tempered excitation techniques combined with time-resolved scanning tunnelling microscopy will be used to studying single and multiple transition outcomes with atomic spatial resolution on timescales from picoseconds to hours. Experiments supplemented by new theoretical approaches will address the creation processes, relaxation dynamics and quantum decoherence of metastable mesoscopic structures, as well as manipulation and control. Theoretical approaches for addressing resulting quantum states include fracton-derived models and quantum annealing on a quantum computer. The project opens the path to detailed exploration of a new class of physical phenomena of wide fundamental interest in different areas of physics, while opening new avenues in non-equilibrium solid state quantum systems technology.

Keywords: nonequilibrium phenomena,jamming transitions,topological transitions,femtosecond spectroscopy,electronic ordering,scanning tunneling microscopy
Quantum-enhanced Machine Learning (QUENML)

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: Ireland,Romania
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-06-01
End date: 2024-12-31
Duration (months): 31.0
Total project cost (EUR): 5358750.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: CLOSED

Equal1 leverages commercially available semiconductor technology to deliver quantum-enhanced machine learning solutions that empower businesses to overcome data-intensive AI challenges today. We design quantum processor chips (QPUs) based on silicon qubit technology and integrate them into a cryogenic system running at -270 degrees C. Our first server-sized prototype (Alice) has already demonstrated massive acceleration for AI applications. Through this project, we will finalize the next generation version of our QPU (codenamed Bluefin, number of physical qubits scaled to 64K in a quantum neural network array) and integrate it within our workstation-sized MVP demonstrator (Aquaris). With its much smaller carbon footprint, our scalable, cost-effective technology provides a path that will impact the trajectory of AI by making it more sustainable. We will enable our customers to continue to leverage the power of AI to develop useful, real-world solutions.

Keywords: quantum computing,micro system engineering