Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Elemental and Structural Composition underlying Brain MRI (WhatsMRI)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Magnetic Resonance Imaging (MRI) is widely established, with 50,000 scanners worldwide and more than 100 million diagnostic scans conducted yearly. Myelin acts as the electrical insulation of neuronal fibers and is essential for motor, sensory, and cognitive functions and is composed of several lipids and proteins arranged in a specific geometry. However, myelin loss occurs regionally in inflammatory diseases like multiple sclerosis, myelitis, and optic neuritis, and it also serves as a biomarker of aging. Despite the availability of various MRI-based approaches for detecting myelin, there remains a significant gap in systematically validated knowledge regarding how myelin's lipids, proteins, and structural variations influence MRI signal generation. Furthermore, there is no gold standard for assessing the constituents of myelin, and conclusions are primarily based on MRI of formalin-fixed tissue. Quantitative post-mortem MRI of unfixed human brains in situ, combined with subsequent mass spectrometry imaging (LA-ICP-TOF-MS, MALDI-MSI), small-angle X-ray scattering (SAXS), and microscopy (CARS, TEM, IHC), will enable histologically enriched modelling of tissue and the simulation of fundamental MRI parameters (relaxometry, susceptibility, and diffusion) to reveal causal relationships with chemical elements, matrix composition, structure, and common molecules of myelin, neural fiber orientation, and biometals. In addition to 20 control brains, 10 brains from deceased individuals with multiple sclerosis will be recruited to broaden the spectrum of myelination under investigation. This research addresses the fundamental biophysical mechanisms underlying MRI of myelin and chemical elements, which currently lack validation. We will establish a publicly available elemental and histochemical atlas of the human brain and identify how histological features causally contribute to quantitative MRI parameters.

Keywords: mri,relaxometry,susceptibility,validation,iron,myelin,chemical elements
Accelerating Energy-Efficient Atmospheric Carbon Capture Technologies (AirInMotion)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Ireland
Call: EIC Transition Open 2023 (HORIZON-EIC-2023-TRANSITION-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 2494251.25
EU funding (EUR): 2494251.25
Participants: 1
Project status: SIGNED

The IPCC and the EU recognize the importance of CO2 removal from the atmosphere to achieve their climate-neutrality objectives and limit global warming to 1.5°C. AirInMotion provides an efficient and sustainable technology that captures CO2 from air. It operates independently of location as stand-alone units or integrated in industrial processes utilising low-grade heat. It uses state-of-the-art adsorbents that are abundant, cheap and non-toxic and which are regenerated during continuous capture and release cycles. The technology is modular whereby larger capture plants are composed of multiple synchronised units that use central auxiliary components. Industrial integration facilitates CO2 capture at scale and results in high-quality CO2 that can be used as a feedstock for the production of valuable products in a circular carbon economy. AirInMotion offers an opportunity to addresses industries whose indirect emissions in the supply chain cannot be removed at source, achieving significant emission reductions through remediation where this was not previously possible or has not been addressed by regulation or policy requirements. Its characteristics enable AirInMotion to be globally adoptable supporting Europe and the wider global societies to meet their carbon emission targets. This project will focus on three objectives: 1) The demonstration of the effectiveness of the AirInMotion technology at scale through the construction of industrial prototypes reaching TRL-6. 2) The validation of the technology through the deployment of demonstrators in selected industries, including airports, the food industry and IT data centres. Further deployment will demonstrate a fully circular system using low-grade heat to provide research-grade CO2 which is in-situ used as refrigerant. 3) The development of commercialization and business strategies for a new spin-out company which will progress the economic, technological and societal impacts of the technology in the future.

Keywords: direct air capture,carbon capture,porous materials,co2
Dynamic nanocluster – biomolecule interfaces (DYNANOINT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and Analytical Chemical Sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Finland
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): 2499594.0
EU funding (EUR): 2499594.0
Participants: 1
Project status: SIGNED

Metal nanoclusters (MNC) are atomically precise metal nanoparticles with definite mass, structure, and chemical composition. Their metal core of 1-3 nm in diameter exhibits quantized electronic structure, and they are chemically stabilized by a molecular surface layer which is modifiable for functionalization and optimized biocompatibility, making them promising materials for novel applications in bioimaging, biosensing and nanomedicine as fluorescent markers, sensors and targeting drug carriers, paving way to personalized medicine and therapeutics. Their ultrasmall size makes them amenable to atom-scale modeling which may greatly help experimental efforts to design their properties for applications. However, consolidated simulation strategies capable of dealing with phenomena over a wide range of dynamical processes at the nanocluster – biomolecule interfaces are missing. To address this need, DYNANOINT will develop new multiscale simulation strategies, assessing critically graph theory and machine learning (ML) methods as potential accelerators for discovery of structure-function relationships combined with traditional electronic structure methods and force-field based dynamical simulations. The methodology is applied to (i) weak chemical interactions between MNCs and proteins, (ii) electronic excitations and charge-transfer interactions at the MNC – environment interface, and (iii) chiral MNC – environment interfaces. PI’s extensive collaboration network to three key experiments around the world ensures efficient spread of impact of this theoretical-computational project to real-life applications. The project has a broad impact on computational nanoscience since the developed open-source software will give new tools to study structure-function relations in low-dimensional, low-symmetry nanostructures for which combination of robust, transferable, and interpretable ML models with traditional simulations methods poses a significant contemporary challenge.

Keywords: gold,silver,dna,nanocluster,protein,density functional theory,molecular dynamics,machine learning
Open Superconducting Quantum Computers (OpenSuperQPlus)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Framework Partnership Agreement
Countries involved: Germany,Sweden,Netherlands,France,Spain,Finland,Estonia,Austria,Hungary,Israel,Croatia
Call: Framework Partnership Agreement for developing the first large-scale quantum computers (FPA) (HORIZON-CL4-2021-DIGITAL-EMERGING-02, 2021)
Start date: 2023-03-01
End date: 2027-02-28
Duration (months): 48.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 31
Project status: SIGNED

The OpenSuperQplus consortium is a structured partnership aiming at large-scale European quantum computers in the superconducting platform. It proposes and implements a set of roadmaps covering the complete technology stack including quantum hardware, enabling hard- and software, engineering, and an application-driven test suite. It will implement and guide two specific grant agreements (SGAs), aiming at 100 and 1000 qubits with high fidelity, respectively. Grown out of the ramp-up project OpenSuperQ, it brings together a community of excellent academic groups, RTOs, and companies of various sizes spread over Europe, and that includes widening countries. Industrial partners allow to commercialize components, enabling technologies as well as full machines. Its scientific focus is on high coherence, which is crucial to reach the break-even point of quantum advantage in NISQ and reaching out to fault tolerance. Beyond the SGAs, OpenSuperQplus will collaborate with many other Flagship projects, contribute to standardization through CEN/CENELEC, and form a sustainable partnership in the form of a professional organization.

Keywords: quantum computing,josephson junction,quantum engineering,cryogenics,enabling technology,enabling software,superconducting electronics
Great Expectations: Macroeconomic Implications of Forecasting Behavior (GEM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2022-COG, 2022)
Start date: 2023-10-01
End date: 2028-09-30
Duration (months): 60.0
Total project cost (EUR): 1532955.0
EU funding (EUR): 1532955.0
Participants: 1
Project status: SIGNED

The goal of this proposal is to advance the research frontier on expectations formation and their economic impact. The proposal consists of three related projects that, through the provision of novel empirical evidence and the design of a new theoretical framework, can guide future research and better inform policy decisions. Recent empirical evidence suggests that expectations react to shocks sluggishly, but—one might argue—this may only be the case because data was gathered under stable economic conditions. We plan to explore the hypothesis that expectations quickly adapt and “de-anchor” in periods of economic turmoil. If, as we conjecture, expectations are state dependent, then a better understanding of the conditions under which stickiness persists is critical for policy. We exploit survey data on a larger-than-usual set of countries and uncover new properties of expectations. How should central banks communicate to the public? Should countries promote financial literacy? Expectations’ data helps us answer these questions by indirectly revealing the models that agents use to make forecasts. We leverage the theory of Bayesian networks to build a theoretical framework in which a fraction of less sophisticated agents fails to consider a subset of relevant macroeconomic relationships. We discipline our model using novel evidence on cross-variable properties of expectations and deliver new, actionable lessons for policy and policy communication. The recent debate on the role of monetary policy in speeding up the green transition has attracted much attention. Yet, the full extent to which monetary policy affects green firms is still unknown. We investigate, both empirically and theoretically, the impact of interest-rate expectations on investment by clean vs. dirty firms and innovation in clean technologies. Our preliminary evidence suggests that conventional monetary policy and forward guidance may have a sizable and long-lasting impact on the environment.

Keywords: expectations,state dependence,bounded rationality,monetary policy,green transition
Singleton trajectories. Understanding new life course paths of young adults. (SINGLETON)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Belgium
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 2497438.0
EU funding (EUR): 2497438.0
Participants: 1
Project status: SIGNED

The intellectual challenge that the Singleton project will tackle is identifying the relationship formation pathways of young adults in industrialized countries. This project departs from the currently couple centred research approach of young adulthood in which developmental pathways always seem to lead to Mount Marriage or Cohabitation Hill. In contrast, we argue that there is a fundamental hidden relationship pathway in young adulthood where individuals might be experiencing difficulties in finding the right partner, maintaining a relationship or where they make a deliberate choice to remain single and for longer periods. This Singleton trajectory is characterized by a sequence of relatively short-lived committed relationships. The central question addressed in the Singleton project is therefore why, how, when and for whom this relationship trajectory manifests itself. Accordingly the project has four interrelated aims. A first aim is the empirical description of the share of Singletons in three birth cohorts. Second, the project will look at the internal dynamics of relationship formation, maintenance and dissolution from a multi-actor perspective to identify differences between young adults. In the third objective, the project will look into how social networks, educational trajectories and career prospects influence the development of relationship trajectories in young adulthood. A final aim will look at the macro level and incorporate the rise of a “single culture” as part of a new explanatory framework for understanding the Singleton trajectory. Methodologically, we apply a Longitudinal Explanatory Mixed Methods model (2 quantitative and 2 qualitative waves) concentrating on 3 cohorts in young adulthood. This project innovates on a theoretical and methodological level by integrating theories from various fields (demography, sociology and developmental psychology), redefining determinants and launching a much needed new research tradition in Single Studies.

Keywords: singleness relationship formation relationship dissolution life course mixed methods
Human-centred Rapid Reconfiguration of Production and Value Chain in Fast Changing Scenarios (RaRe2)

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: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Germany,Lithuania,Italy,Austria,Belgium,Greece,Poland,Netherlands
Call: Rapid reconfigurable production process chains (Made in Europe Partnership) (IA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2022-12-01
End date: 2026-05-31
Duration (months): 42.0
Total project cost (EUR): 11137872.5
EU funding (EUR): 8395715.25
Participants: 22
Project status: SIGNED

The global objective of RaRe2 project is to create a flexible and resilient Holistic Ecosystem Platform, enabled by the interaction among many European organizations cooperating in the fast reconfiguration of process chains, through collaborative systems and adaptable workforce upskilling. RaRe2 will help make the European manufacturing landscape sustainably robust to unexpected market change, sudden disruption, legal change, or every kind of crisis and changing scenario including climate and weather related. RaRe2 has set strategic and operational objectives, which include innovative digital solutions and knowledge about standards and methodologies, which can support the quickness in reconfiguration and certifications at early stages. RaRe2 will enable the generation of a green wave that will early detect an upcoming issue, alert the decision maker, quickly propose simulations about potential new destinations (adjacent reasonable sectors and products), new routes (how to produce it, with internal reconfiguration and supply chain involvement), the plan to put the change in place, the expected speed of each connected node of the new route, robustness. Key pillars: i) AI-based early detection of reconfiguration needs, from internal and external sources; ii) rapid adaptation of products, processes and supply chain to the changed situations; iii) empowering and upskilling humans, supporting decision makers to make fast and concrete decisions and quickly ramp up of the workforce. RaRe2 will be exploited to create a strong and reliable network of organizations interested in cooperating in rapid reconfiguration events, able to take into account social, market, legal, sustainability and economical factors. The consortium is based on 22 European partners, which will develop and validate the solution in four industrial pilots plus one value chain oriented demonstrator. The International Cooperation is guaranteed by a pilot which has the main headquarter in Japan.

Keywords: co creation,collaboration,reconfiguration,value chain,holistic platform,upskilling,fast changes,early detection,reliable network,digital twin,manufacturing
Conveying Agent Behavior to People: A User-Centered Approach to Explainable AI (CONVEY)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1470250.0
EU funding (EUR): 1470250.0
Participants: 1
Project status: SIGNED

From self-driving cars to agents recommending medical treatment, Artificial Intelligence (AI) agents are becoming increasingly prevalent. These agents have the potential to benefit society in areas such as transportation, healthcare and education. Importantly, they do not operate in a vacuum—people interact with agents in a wide range of settings. To effectively interact with agents, people need to be able to anticipate and understand their behavior. For example, a driver of an autonomous vehicle will need to anticipate situations in which the carfails and hands over control, while a clinician will need to understand the treatment regime recommended by an agent to determine whether it aligns with the patient’s preferences. Explainable AI methods aim to support users by making the behavior of AI systems more transparent. However, the state-of-the-art in explainable AI is lacking in several key aspects. First, the majority of existing methods focus on providing “local” explanations to one-shot decisions of machine learning models. They are not adequate for conveying the behavior of agents that act over an extended time duration in large state spaces. Second, most existing methods do not consider the context in which explanations are deployed, including to the specific needs and characteristics of users. Finally, most methods are not interactive, limiting users’ ability to gain a thorough understanding of the agents. The overarching objective of this proposal is to develop adaptive and interactive methods for conveying the behavior of agents and multi-agent teams operating in sequential decision-making settings. To tackle this challenge, the proposed research will draw on insights and methodologies from AI and human-computer interaction. It will develop algorithms that determine what information about agents’ behavior to share with users, tailored to users’ needs and characteristics, and interfaces that allow users to proactively explore agents’ capabilities.

Keywords: explainable artificial intelligence,human ai interaction
Embodied intersectionality in paid migrant domestic and care work: theoretical developments and policy recommendations based on the study of Sri Lankan migrant workers in Naples, Italy (DoingDOM)

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
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-15
End date: 2027-08-14
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 2
Project status: SIGNED

This project is about paid migrant domestic and care workers (PMDCWers), both women and men, who are people of colour from working-class, minority migrant communities that remain ‘invisible’ in the country where they work and live. Paid migrant domestic and care work (PMDCW) is a crucial labour sector dominated by migrant women and therefore researched predominantly from the perspective of women migrants with backgrounds in minority communities. International migration means employment in this sector is also becoming a possibility for migrant men, which is largely understudied. This project will fill this knowledge gap. It will focus on Sri Lankan women and men engaged in PMDCW, who represent a hidden and understudied though important community of longstanding migrant workers in Europe. While contributing to a non-mainstream perspective on PMDCW, this project will address the risk of stereotyping and oversimplifying the dynamic, diverse and vibrant lived experiences of PMDCWers under the broad labels: ‘minority migrant workers’, ‘low-end workers’, ‘ethnic minorities’ and ‘people of colour’. The project stresses that more research is needed to fully comprehend the spectrum of lived realities experienced by PMDCWers at the intersection of gender, class, race, nationality, religion, immigrant status and other forms of inequality, as well as the ways in which power, privilege and discrimination are mapped onto gendered–racialized migrant bodies. It will focus on the southern European city of Naples in Italy, with a significant tradition of PMDCW and home to a well-established community of Sri Lankan migrants, most of whom are PMDCWers. Given its interdisciplinary nature, the project will use mixed methods and methodological triangulation. It will thus probe the embodied intersectional experiences of Sri Lankan women and men living in the interstices of the Italian/Neapolitan PMDCW sector from more than one standpoint, enabling more meaningful conclusions to be drawn.

Keywords: intersectionality paid migrant domestic and care work italy transnational migration minority studies