Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet InChoir (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Harmonising Inclusion in Choral Music (InChoir) tackles the escalating challenges of inequality, social exclusion, and polarisation in European societies by focusing on inclusive choirs. Whilst culture is promoted as ‘the fourth pillar of sustainability’, and increasing attention has been given to socially-driven music projects in the Global South and Australia, research on socially transformative choirs has remained at the fringes of academia, and little is known about inclusive choir practices in Europe. Whereas music educators and leaders tend to be disconnected from academia, the existing scholarly work typically focuses on a single case or theory. By integrating the disciplines of music, education, and social sciences with the practical expertise of inclusive choirs, InChoir aims to bridge the gap between research on sustainable development and choir practices by producing knowledge on inclusive choir practices in Europe and translating research into practical applications. Three objectives are set: 1) to provide meta-knowledge on reported inclusive choir programs in Europe; 2) to expand reflexive understanding of professional competencies and ethics required for inclusive choirs; and 3) to promote inclusive choirs and music culture in institutional European contexts and the whole-of-society. Through integrating scholarship on inclusive choir studies with a series of individual in-depth (online/onsite) interviews with choral leaders of successful inclusive choir practices in different European countries, InChoir expands and deepens professional understanding in music and provides practical guidelines and policy briefs on the potential of choirs to enhance sustainability. Conducted at one of the leading European music universities under the supervision of a renowned expert in the field, InChoir will exert a significant impact on both academic and practice-based forums of music education as well as on broader society.

Mots clés : choir, inclusivity, music education, sustainability, equity, social transformation, musicking, accessibility, diversity

Participants :
- Université des arts d'Helsinki (Finlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 242116.8 €
Projet FiT (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Using the term “food trends” may seem to suggest a postmodern era in which people seek individuality, even in their eating habits, and new trends are emerging all the time. This project, however, focuses on the past and aims to reveal and to identify food trends in the premodern era. The modern concept of “food trends” allows us to use selected products and to show how certain foreign/novel foods, made available through trade, changed the taste and appearance of familiar dishes, or gave rise to new food creations, food trends already in the premodern era. The project is centred on the Italian-German region and the trading hubs of Venice and Nuremberg from the 13th to the 17th century. In addition to the sources that document the economic exchange between these two cities (such as commercial books, trade monopolies, documents), the associated circulation of knowledge through philosophical writings and medical treatises, the dissemination of religious ideas, and the implementation of new products in everyday culinary life (in cookery books) are of interest. These provide insight into and discussion about food as it was in transition. Three objects – pasta, saffron and Malvasia wine – are used to illustrate food trends as they move from south to north. By doing so, the concept of “food trends” is defined and a new socio-cultural food history is created, incorporating aspects of medical and philosophical history as well as global and economic history and recognising the everyday historical dimension of nutrition, to which gender, social and religious aspects are added as important categories of analysis in this project.

Mots clés : food history, history of mobilities exchange, travelling goods, cultural history, global history, food culture, medieval and premodern times, venice, nuremberg, italian german history

Participants :
- Fondazione Bruno Kessler (Italie) — Coordinator, beneficiary, Recherche, subvention : 209483.28 €
Projet KOA-Orthosis (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

Knee osteoarthritis (KOA) is a prevalent, chronic, degenerative, and multifactorial disease associated with pain, stiffness, and physical disability, and it is a significant public health problem in the world. Abnormal load distribution between knee medial and lateral compartments has been designated as the main biomechanical factor for the initiation and progression of KOA. Accurate quantification of internal knee contact force during daily living activities is significant for understanding the biomechanical mechanism of patient-orthosis interaction and improving the treatment with knee orthotics. During the passing years, some subject-specific musculoskeletal models have been proposed to improve the prediction accuracy of internal knee contact force. However, approximations such as linear scaling, point contact assumptions, absence of ligaments, inaccurate muscle models, and absence of proper knee models are present in most models. Additionally, new human-orthosis coupling models have been proposed during the past years. However, disadvantages such as a relatively simple human model, non-patient model, and rigid contact between human and orthosis, remain. Therefore, the current musculoskeletal models and human-orthosis coupling models are not suitable for deeply studying the biomechanical mechanism of patient-orthosis interaction. The goal of the research will focus on (1) developing a subject-specific patient-orthosis coupling musculoskeletal model considering subject-specific geometric models of bones, cartilages and meniscus, knee ligaments, muscle modelling, natural contact, and patient’s disease progression; (2) analyzing the biomechanical relationship between the applied orthopedic moment and internal contact forces of knee medial and lateral compartments, and understanding the interaction between the knee orthosis and KOA patients; (3) simulation-based design and evaluation of a prototype knee orthosis based on the developed interaction models.

Mots clés : musculoskeletal model, biomechanics, knee osteoarthritis, knee orthotics, patient orthosis interaction

Participants :
- KTH Institut royal de technologie (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 206887.68 €
Projet IGUANABOT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Robotic systems in marine environments could enable high-resolution measurements of ecological processes at extraordinary scales, pushing the boundaries of current methods. The inherent limitations of conventional propeller-based ROV push for robotic systems with multiple modes of locomotion; swimming and benthic locomotion. In order to develop multimodal underwater robotics technology, marine animals with both swimming and benthic locomotion capabilities serve as benchmarks. In this project, a bioinspired underwater vehicle called IGUANABOT, inspired by marine iguanas, will be developed with swimming and benthic legged locomotion capabilities. The objectives of the project are to; design and build the iguana-inspired robot, evaluate the robot's performance in the laboratory and the field, and do a case study by creating a 3D map of the seafloor that will aid in marine conservation. These three objectives translate to six work packages: multimodal locomotion system, vision system, integration and control, verification and validation, and a case study. IGUANABOT will be the first underwater robot with unique technological features; bioinspired swimming and legged locomotion in the natural marine environment, a bendable back that adapts to irregular terrain and enhances locomotion performance, and clawed feet that adhere to steep, slippery substrates. The robot’s development and performance optimisation will be performed at Swedish Maritime Robotics Centre, KTH Royal Institute of Technology, Sweden. The case study will take place at the sea close to Gullmarsfjord, a natural reserve in Sweden, stationing at Kristineberg Centre for Marine Research and Innovation, University of Gothenburg.

Mots clés : robotics, bioinspiration, marine robots, remotely operated vehicles, swimming locomotion, legged locomotion, multimodal locomotion, marine conservation, 3d mapping

Participants :
- Université de Göteborg (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- KTH Institut royal de technologie (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 206887.68 €
Projet CLEAR-UPs (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

The increasing demand for pulse protein concentrates and isolates reflects a shift from animal to plant-based diets. At the industrial level, producing high-protein fractions from pulses generates significant starch co-products. However, native starches often lack the functional properties needed for food applications, leading to their undervaluation or use as animal feed, which poses both environmental and economic challenges. While chemical modification is commonly employed to enhance starch functionality, this method does not meet clean or green labeling standards, highlighting the need for more sustainable solutions.  The project aims to develop a high-throughput green process for producing functionalized starches, understand the relationship between starch structure and functionality, and identify starches suitable for controlled-release applications.  Specifically, I will use atmospheric pressure plasma jet and enzymatic treatments to modify starch co-products, creating enhanced starches with porous and branched structures. Advanced analytical techniques, including field emission scanning electron microscopy, Fourier-transform infrared spectroscopy, X-ray diffraction, and size exclusion chromatography, will be employed to investigate the effects of multi-scale structural modifications on starch functionalities. Additionally, I will explore the use of caffeine as a model compound to evaluate the ability of the modified starches to function as controlled-release systems.  Overall, the project will address a significant research gap and provide sustainable solutions for utilizing starch co-products, supporting the European agri-food system’s sustainability goals. It will contribute to reduced waste, enhanced food safety, and increased market competitiveness through the development of advanced, environmentally friendly starches.

Mots clés : starch co products side streams sustainability upcycling delivery system

Participants :
- Université polytechnique de Valence (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 194074.56 €
- KTH Institut royal de technologie (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet MagicBathy (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Accurate, detailed and high-frequent bathymetry, coupled with the important visual and semantic information, is crucial for the undermapped shallow coastal areas being affected by intense climatological and anthropogenic pressures. Regular UAV and satellite imagery have the potential to frequently and consistently map those areas to different extents and detail, providing ground breaking key information. However, optical properties of water severely affect images and refraction is the main factor affecting their geometry. Current Structure from Motion (SfM) based solutions for refraction correction are slow and costly. Satellite Derived Bathymetry (SDB) methods deliver faster results over huge shallow areas albeit in lower spatial resolution, failing to handle non-homogeneous seabeds. Recent methods based on Convolutional Neural Networks (CNNs) deliver either only the bathymetry or the semantics of the scene, tackling those problems separately and in one scale/modality at a time. They are mostly dedicated to satellite images, failing to address the challenges of shallow waters, being also inefficient for UAV images, preventing higher resolution results. MagicBathy will establish an advanced deep learning framework for low-cost shallow water mapping by developing a novel boundary-aware multitask, multiscale and multimodal learning approach for bathymetry and semantics together, exploiting single either UAV or satellite imagery. To overcome the domain gap, generalize and improve performance, self-supervised in-domain representation learning will be performed. To enhance the spatial resolution of low resolution satellite images and hence of the resulting bathymetric/semantic maps, a conditional generative adversarial network (cGAN)-based Super Resolution framework will be developed, dealing with the special challenges of shallow water imagery. Frameworks, models and results will be published in open access, enabling the rapid progress in shallow water mapping worldwide

Mots clés : remote sensing, deep learning, seabed mapping, multitask learning, semantic segmentation, uav and satellite image, bathymetry, single view depth estimation, super resolution, representation learning

Participants :
- Université technique de Berlin (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 189687.36 €
- Université technique de Prague (Rép. Tchèque) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet RAVIOLI (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

The proposed research project, RAVIOLI (Retrieval-Augmented VIsion-Language Models for Open-vocabulary LocalizatIon), aims to significantly advance the field of segmentation by innovatively integrating retrieval-based predictions from a memory with the original predictions of a vision-language model (VLM) through a learnable fusion model. Addressing a critical gap in existing methods, which often struggle to adapt to new or complex classes and domains, RAVIOLI seeks to enhance the accuracy, adaptability, and granularity of segmentation tasks across various applications, from autonomous vehicles to medical imaging. Importantly, there has been no similar attempt to learn a fusion model with these properties in any open-vocabulary dense task, such as segmentation, making our approach truly pioneering. The ambitious scope of this project lies in its aim to create a tailored, flexible, robust, and scalable solution that will redefine the capabilities of vision-language models, setting a new standard in the field of open-vocabulary segmentation. The project will be hosted by the Visual Recognition Group (VRG) at the Czech Technical University in Prague (CTU) under the supervision of Prof. Giorgos Tolias. The fellow, Bill Psomas, with a strong background in computer vision (CV) and deep learning (DL), is well-equipped to lead this research, which will further supported by a secondment at AImageLab, University of Modena and Reggio Emilia (UNIMORE) working with Prof. Rita Cucchiara.


Participants :
- Université de Modène et de Reggio Emilie (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique de Prague (Rép. Tchèque) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 191918.16 €
Projet CIRCE (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Extreme weather events are already affecting urban areas with sometimes severe impacts on people, infrastructure and socio-economic activities. Faced with these effects, which are expected to increase due to climate change, decision-makers need sound climate information on local urban issues in order to better plan the cities of tomorrow. Today, climate change impacts on urban areas are assessed by separate scientific communities, with some methodological limitations for each approach: Regional Climate Models (RCM) provide climate change information at the regional scale, but with a coarse horizontal resolution for cities and without specific surface parameterisation for urban processes; most high-resolution impact studies focusing on urban issues (energy, thermal comfort) do not take into account urban-regional climate interactions and are city and indicator dependent. The CIRCE project aims to develop a more robust and generic methodology for assessing the impacts of climate change on European cities by (1) identifying innovative impact indicators that are relevant for local decision-makers and can be calculated from modelled and available city data and (2) clarifying the best current regional climate modelling configurations for urban impact studies. To this end, the new generation of high-resolution Convective-Permitting Models (CPM) will be used for the first time in a multi-city ensemble approach. Multi-sectoral indicators will be defined based on local climate risks (with a focus on heat waves and extreme precipitation) and urban issues related to various European cities. The ability of climate models to simulate specific extreme climate events and their impacts on cities will be assessed. Then, their future evolution will be analysed by combining the largest set of RCMs and CPMs currently available. The final objective will be to co-develop an urban climate service demonstrator based on these results and to feed into the CORDEX Flagship Pilot Study URB-RCC.

Mots clés : extreme weather events, heat wave, heavy precipitation events, regional climate model, convection permitting model, urban impact study, urban climate service

Participants :
- Helmholtz-Zentrum Hereon (Allemagne) — Coordinator, beneficiary, Recherche, subvention : 173847.36 €
Projet PhyloDRS (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

The project titled, 'Phylogenomic-driven Drug Discovery from Rhodococcus and Saccharomonospora using 2D and 3D Cell Cultures' aims to explore the microbial diversity and genomic landscape of two important, yet somewhat neglected, natural product producing actinobacterial genera, Rhodococcus and Saccharomonospora. Symbiotic systems and unique habitats will serve as isolation sources of novel species, and I will employ state-of-the-art sequencing techniques to perform a comprehensive in depth phylogenomic analysis to fully depict their biocatalytic repertoire and by doing so, unravel their unique natural product potential. I will spearhead the establishment of novel 2D and 3D cultivation techniques with ecomimetic properties to mimic natural scenarios and thereby trigger the production of cryptic metabolites. I will employ sophisticated dereplication and chemical analytical strategies to characterize and structurally elucidate novel chemical entities with drug-like scaffolds. Based on these results, I will be able to test all of the identified natural products for their pharmacological properties within the framework of the Helmholtz drug discovery pipeline and collaboration partners. My targeted and interdisciplinary research approach will allow me to gain valuable genomic and evolutionary insights and streamline the discovery of pharmaceutically valuable natural product scaffolds.

Mots clés : natural product discovery secondary metabolites antimicrobial activity

Participants :
- Helmholtz-Gemeinschaft (Allemagne) — Coordinator, beneficiary, Recherche, subvention : 189687.36 €
Projet NULACAN (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Landslides induced by volcanic activity can lead to deadly tsunamis. The urgency of developing effective hazard and risk assessments for landslides and tsunamis is highlighted by past tragic events. Nonetheless, specific guidelines for risk assessment concerning landslides and tsunamis are currently lacking. Landslide tsunamis can be triggered by submarine or subaerial landslides. However, the complex multiphase and multiphysics dynamics of landslides interacting with the ocean lead to a large number of uncertainties that diminish our capacity to quantify the risk associated with potential landslides and the subsequent tsunamis. Thus, the goal of this project is to reduce the uncertainties in landslide modeling, water/landslide interactions, and tsunami generation. This pioneer research intends to improve the accuracy of future probabilistic tsunami hazard assessments in the Canary Islands. The project comprises two phases: The first phase of the project investigates submarine landslides and their turbidity currents to gain insights into deposit shapes and triggering mechanisms. Numerical simulations will be conducted to study the evolution of the seabed during volcanic eruptions and the potential mechanisms that enhance landslide mobility. The second phase focuses on subaerial landslides, considering the interaction of air, water, and soil. More specifically, the project aims to accurately predict the energy transfer from landslides to wave generation. Different numerical approaches, including discrete element method, finite volume method, and depth-averaged equations will be used to provide a comprehensive analysis of landslide dynamics from local to large scales. Through a case study using real field data, the project will validate a multiscale numerical approach and mitigate the current knowledge gaps, paving the way for a future probabilistic tsunami hazard assessment of the Canary Islands.

Mots clés : granular flows, numerical methods, multiphase flows, landslides, tsunamis

Participants :
- Université Grenoble Alpes (France) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 165312.96 €