Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Music as youth empowerment: creating connection to self and others (MUSICONNECT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Finland
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-08-01
End date: 2027-07-31
Duration (months): 60.0
Total project cost (EUR): 1983056.0
EU funding (EUR): 1983056.0
Participants: 1
Project status: SIGNED

Can music solve global challenges, lead to improved connection and empowerment, foster an inclusive society? I introduce music engagement as a ubiquitous daily resource to advance a critical capacity in a modern world: youth ability to connect with self and others. The challenge of assessing music as a human resource is that it functions at emotional, bodily, and situated levels of experience that are difficult to objectively measure. However, such aspects are integral to state-of-the-art conceptions of human cognition and, further, advancements in empirical research now enable their quantitative assessment. In MUSICONNECT, I will conduct groundbreaking research to address the emotional-bodily-situated nature of music, to conceptualize and objectively measure how, when, and for whom music engagement functions as empowerment. Three dialogical work packages will address music as 1) emotional self-regulation 2) embodied interaction and 3) situated engagement. Young people (N = 5000, aged 15-25) with diverse backgrounds will participate in studies ranging from surveys to experiments. I will implement and develop cutting-edge methods to quantify the “unmeasurable” of music: ecologically valid experience sampling of real-time listening experiences, physiological measures, computational music feature analyses, optical motion capture, deep learning techniques (deep pose estimation), digital ethnography, and psychometric assessment. Results will revolutionize the scientific capacity to address music engagement as testable, falsifiable, and evidence-based practice. Breakthrough knowledge will be created on the mechanisms of action through which music functions as empowerment and how the effectiveness of this is determined by the interplay of musical, individual, situational, and cultural factors. Findings can advise educational, preventive, or social programs that aim to support youth in building their self-regulatory competence and social connections in today’s world.

Keywords: music,youth,wellbeing
Identifying strategies to reduce osteoporosis-driven bone loss through the development of microphysiological bone remodeling-on-chip tools (ReModel-OP)

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: Netherlands,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-03-17
End date: 2028-03-16
Duration (months): 36.0
Total project cost (EUR): 272536.32
EU funding (EUR): 272536.32
Participants: 2
Project status: SIGNED

Osteoporosis is a common skeletal disorder characterized by imbalanced bone remodeling, where osteoclast activity is exacerbated leading to increased bone degradation and fracture risk. The socio-economic burden of this disease is elevated in the EU and is expected to further increase in coming years, highlighting the need of improved disease models and drug screening platforms in pre-clinical research. Organ-on-chip (OoC) technology has been demonstrating high potential to replace anima testing in drug screening and pathophysiological modeling, but current output measurements in OoC applications are still mostly limited to end-point assays or require large volume of sample. In addition, bone OoC models competent for exacerbated bone resorption, the main consequence of osteoporosis, are still lacking, indicating a need for improved and more representative models. To address this issue, in this project I aim to identify and validate potential strategies to reduce osteoporosis-driven bone loss, through the establishment of a bone-on-chip model with integrated sensors for online detection of bone degradation biomarkers. I will combine knowledge from disciplines ranging from microfabrication, tissue engineering, molecular biology, imaging and electrochemistry to fabricate osteoclast resorption biomarker sensors and integrate them in OoC models that faithfully replicate the bone microenvironment. My experience in osteoclast biology will be integrated with the extensive expertise of the Brigham and Women´s Hospital - Harvard Medical School in tissue engineering, microfabrication and materials science for the successful implementation of this proposal. These experiences will provide the optimal training environment not only to become a leader in organ-on-chip disease modelling but also to position myself advantageously to succeed in non-academic sectors.

Keywords: osteoporosis
Modelling RESTORation of wEtlands for Carbon pathways, Climate Change mitigation and adaptation, ecosystem services, and biodiversity, Co-benefits (RESTORE4Cs)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Climate
Destination: Climate sciences and responses for the transformation towards climate neutrality
Action type: Research and Innovation actions
Countries involved: Portugal,Germany,Spain,Italy,France,Austria,Romania,Lithuania,Netherlands
Call: Restoration of natural wetlands, peatlands and floodplains as a strategy for fast mitigation benefits; pathways, trade-offs and co-benefits (HORIZON-CL5-2021-D1-01, 2021)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 6644842.5
EU funding (EUR): 6644837.0
Participants: 16
Project status: SIGNED

RESTORE4Cs aims to assess the role of restoration action on wetlands climate change mitigation capacity and a wide range of ecosystem services using an integrative socio-ecological systems approach. Focusing on coastal wetlands across Europe, RESTORE4Cs will deliver standardised methodologies and approaches for the prioritisation of restoration promoting carbon-storage and greenhouse gasses (GHG) emissions abatement, while improving the ecological status and the provision of additional ecosystem services such as flood regulation and coastal erosion protection. Project results will support the implementation of Climate and Biodiversity policies in the context of the European Green Deal. Effectiveness data on restoration and land use management actions on climate services and other ecosystem and socio-economic services will be gathered both from six Case Pilot sites across European coastal areas, including well-preserved, altered, and restored wetlands, and from meta-analysis. Models and integrative assessment tools will be upscaled to wider geographical (European) and ecological (other wetland types, including floodplains and peatlands) contexts using remote sensing and machine learning methods to develop an integrated status assessment of European wetlands. The results will be integrated into a digital platform to serve as a Decision Support System (DSS) for stakeholders that will steer project efforts as part of a newly created Community of Practice around wetland restoration.

Keywords: policy roadmap,ghg process cost benefit upscaling community of practice dss decision support system
Coherent Steering of Order via Lattice Resonances (HandShake)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Discovering methods that facilitate ultrafast and minimally-dissipative switching of spontaneous ordering represents one of the most prominent research directions in modern condensed matter physics. In recent years, breakthrough experiments have revealed that circularly-polarized femtosecond pulses, in the visible spectral range, can non-thermally perturb magnetization via the ultrafast inverse Faraday effect. However, the associated pathway of energy flow – from light to electrons to spins - incurs substantial parasitic energy losses while simultaneously restricting the functional duration and amplitude of the spin stimulus to the highly-limited lifetime and strength of the photo-excited electrons. Aiming to unveil an alternative and potentially superior method for the selective switching of magnetic order, this project will explore the possibility of manipulating and ultimately reversing magnetization using left- or right-handed circularly-polarized optical phonons driven at resonance. To coherently pump such phonons, this project will exploit the intense and narrow-band infrared light pulses delivered by free-electron lasers. The ensuing rotational motion of ions, in a manner analogous to the ultrafast Barnett effect, is predicted to temporarily create a magnetic moment that could be sufficiently strong enough, by virtue of the longer lifetime and non-linear character of optical phonons, to drive large-amplitude permanent reorientation of magnetization. By constructing state-of-the-art multi-color pump-probe techniques, operational in both stroboscopic and single-shot modes, the existence, character and universality of this never-seen-before source for magnetic recording and processing of data will be discovered. While the challenging and high-risk experiments proposed here explore largely-uncharted physics, they could reveal a disruptive new tool that enables the highly-efficient, ultrafast and directional switching of spontaneous order.

Keywords: ultrafast magnetism phononics circular polarization
Green membrane bioseparation for circular economy (Bio-GENTLE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Netherlands,Italy,Germany,Belgium,France,United Kingdom
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 2796908.91
EU funding (EUR): 2679321.6
Participants: 15
Project status: SIGNED

Bio-GENTLE will train 12 doctoral candidates (DCs) with an overarching goal to propel Europe to the forefront of research and development of biomolecules that can be used as high-volume commodities or low-volume, but high-value compounds in food, pharmaceutical, and cosmetic industries. The scientific aim of this network will be to produce and share knowledge, insights, and solutions to these objectives, thereby enabling major steps towards, and providing evidence of sustainable biomaterials production on larger scales for application in food, pharmaceutical, and cosmetics in Europe. Furthermore, the implementation of the actions will connect professionals of various backgrounds from academics and from industry in this network, thus strengthening collaboration and discussions to bring the biomolecules separation and utilization field to the next level of the circular economy. Bio-GENTLE is both original and innovative because it utilizes a unique interdisciplinary approach combining the power of fundamental analysis, experimentation, and mathematical modeling, to create a flexible bioseparation platform geared toward a green and circular economy. The holistic approach, from material to process, is enclosed in this training network. Such an approach is strongly recommended for the successful development of novel membrane processes. The 12 DCs will be trained and experience the complete chain from materials properties to complete process design and evaluation.

Keywords: membrane separation technology,purification and extraction of biomolecules,model assisted design of separation systems,bio based circular economy,waste to products
Femtosecond laser writing for photonic quantum processors (FUTURE)

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: Italy
Call: EIC Transition Open 2023 (HORIZON-EIC-2023-TRANSITION-01, 2023)
Start date: 2023-11-01
End date: 2026-01-31
Duration (months): 27.0
Total project cost (EUR): 2495968.75
EU funding (EUR): 2495968.75
Participants: 1
Project status: SIGNED

Ephos is a photonic quantum computing company. Our objective is to build the key element of the infrastructure to power quantum computing: photonic chips. Ephos has a unique asset to reach this goal: it is the only photonic quantum start-up in the world with in-house chip manufacturing capabilities. We build our glass-based photonic quantum processors using a femtosecond laser writing (FLW) process developed by our founding team. Our fabrication process, with respect to those of our competitors, is faster, has lower-cost, higher flexibility, and is capable of working with 3D structures. The resulting chips have low interface losses, which makes them the ideal building blocks of the modular architectures that are the leading contender to deliver scalable quantum computation. The aim of the current project is to support Ephos in establishing the world’s most advanced FLW facility for the production of quantum photonic chips. Over the course of this project, we will build the largest programmable quantum photonic processor in the market. This project will enable the development of more powerful and efficient quantum computing technologies that have the potential to revolutionize various industries. The lower-cost and higher flexibility of Ephos' fabrication process could potentially make quantum computing more accessible for a wider range of organizations and researchers.

Keywords: quantum computing quantum technology quantum photonic processors femtosecond laser writing
Program Intelligence, Declaratively and Symbolically (PINDESYM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Greece
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2395875.0
EU funding (EUR): 2395875.0
Participants: 1
Project status: SIGNED

The automatic understanding of programs, in insightful, high-level terms, has long been a dream of computer science. The area of static program analysis has made significant progress in such understanding by algorithmically modeling all possible program behaviors. In this setting, declarative program analysis has recently demonstrated great success in capturing powerful algorithms efficiently and elegantly, in a form that bridges mathematical logic and intuitive human understanding. The PI’s research has established a world-leading program in declarative program analysis, with multiple independent signs of high recognition. However, the dream of automatic deep program understanding remains elusive: static analysis tools are still reliant on significant human insights and extensive customization for the analysis domain. Is there hope for a giant step forward? The PINDESYM approach posits that two emerging breakthroughs offer excellent promise to take declarative program analysis to a next level, capable of realizing the dream of automatic program understanding. The first is the idea of combining a declarative system (e.g., a Datalog fixpoint engine) and a symbolic reasoning system, such as an SMT solver or algebraic rewrite system. The second is the seamless integration of a machine learning approach, over large amounts of data (from past code bases), in the declarative inference process. The PINDESYM project will leverage symbolic reasoning and learning approaches to greatly advance program analysis. The challenge is dual: not only to invent powerful new techniques and algorithms, but also to capture all the diversity in symbolic, value-flow, and learning-based reasoning in a single, unified, reusable, and extensible analysis framework—a true deep program understanding engine, far beyond current approaches.

Keywords: program analysis
Three Dimensional Quantum Nanomaterials (3DNanoQuant)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Quantum nanomaterials are highly relevant for today’s society, playing a key role in existing technologies, and promising revolutionary changes addressing global issues, with the possibility for new computing architectures, and highly efficient devices. Until now, most studies of quantum nanomaterials have been two dimensional. Extending to three dimensions results in opportunities for increased density and interconnectivity, with the possibility to go beyond the physics of planar systems. This has recently been exemplified by nanomagnetism, where advances in methodologies have driven breakthroughs in our physical understanding, leading to the discovery of exotic spin textures, non-reciprocal dynamics and curvature-induced effects. However, the extension of a wider range of quantum nanomaterials to 3D geometries faces experimental challenges. In this ERC project I propose to explore the physics of quantum nanomaterials in three dimensions, developing state-of-the-art experimental techniques, establishing a common experimental methodology, to study the fundamental physics of 3D quantum nanomaterials. This project will address three scientific cases. First, I will develop 3D antiferromagnetic imaging to explore the formation of topological textures in antiferromagnets, and their current-induced dynamics. Second, I will measure the dynamics of 3D nanomagnets, realising non-reciprocal domain wall motion and spin waves in a low-symmetry 3D geometry. Third, I will harness new nanofabrication capabilities to explore the physics of 3D superconducting nanocircuits, achieving local control of the state, as well as exploring the behaviour of superconducting vortices. This project will lead to advances both in experimental capabilities, and in our understanding of the influence of 3D nanogeometries on the physics of quantum materials. The project will facilitate a change of paradigm for quantum nanomaterials, impacting both fundamental research and technological applications.
Establishing collaborations with Danish dairy farmers to support EPIHERD platform development and generate novel epigenomics data from cattle, to address animal health and productivity (EPIHERD)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Ireland
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-06-01
End date: 2024-05-31
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Antler Bio is a deep tech company that supports animal health, efficiency, and performance through epigenomics. We have developed a novel technology and concept, which data is powerful enough to change livestock and agricultural industries for the better, to meet the global goals for a more sustainable future. We are tapping the currently underexplored data of epigenomics, analysing which crucial genes linked to health and production in livestock are active (expressed) and which are silent. Furthermore, the environmental factors, such as habitat, animal husbandry and feed affect gene expression. Understanding this data allows precision-adjustments to increase well-being and production in a natural way. To deliver this data to dairy farmers, we are developing EPIHERD an AI-platform, currently at TRL5, that aims to help farmers: analyse herd performance against its actual potential, improve animal management and husbandry in a targeted way, strategically select individuals for breeding and production and detect developing health disorders before symptoms arise. With substantial proof in equine and having successfully transferred the technology to bovine we now collaborate closely with key organisations and selected farms in Finland to widen our epigenomic database and develop the platform based on farmer feedback. Being an early-stage deep tech company, struggling to find adequate funding, the cost of acquiring the gene expression data is currently our greatest challenge, hindering growth and expansion. If we were to be supported by the Women TechEU programme, we will execute the plan outlined in this proposal to collaborate closely with 6 Danish dairy farms, enabling us to diversify our epigenomic database and capture crucial feedback that will influence platform and service development. The programme would also impact Antler Bio through offering support, that will help me develop and grow as a CEO, which will reflect on the performance and success of the company.

Keywords: deep tech sustainability ai machine learning bioinformatics big data database epigenomics genomics heredity food well being agriculture agritech mrna metadata