Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet EUFF (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

This project aims to comprehensively evaluate legislation, policies, security measures, and the conceptual ambiguity surrounding foreign fighters (FF) in European Union (EU) member states. It also seeks to assess interventions for FF prevention and reintegration and provide multifaceted recommendations spanning legal, policy, practical, and academic dimensions. The study addresses the evolving FF phenomenon, especially considering the ongoing Ukraine conflict's potential impact on the EU.  FF present persistent security risks, including radicalisation, criminal involvement, weapons trafficking, and continued engagement in conflicts. Despite these challenges, there remains conceptual vagueness and a lack of effective measures to address FF comprehensively. To respond adequately, governments and international organisations, such as the EU, need robust policy measures and intervention strategies for FF prevention, deradicalization, and reintegration.  This research project will systematically analyse legislative, policy, and security responses to FF across EU member states, develop a conceptual framework, assess interventions, and generate actionable recommendations. These recommendations will span legal reforms, policy enhancements, practical measures, and academic contributions. By providing a holistic approach, this project will significantly contribute to understanding and addressing the FF challenge in the EU, ultimately improving policy development, security, and counter-terrorism efforts.  In summary, this research will offer vital insights into FF, enabling more effective responses to this complex and evolving threat. It will enhance the EU's ability to counter and prevent FF and mitigate the associated security risks, benefiting not only EU member states but also international efforts to combat terrorism and extremism.

Mots clés : foreign fighters, policy, legislation, research, international security, conflict, prevention, reintegration, extremism

Participants :
- Université de la ville de Dublin (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 199694.4 €
Projet ELEGANCE (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

The pathophysiology of the most frequent neurodevelopmental disorder in the world, Attention Deficit Hyperactivity Disorder (ADHD), is influenced by the interaction of genetic and environmental risk factors. Studies have been indicating the association between ADHD and changes in the microbiota-gut-brain axis (MGBA), which may cause neuroinflammation, and subsequent microglial activation, secretion of cytokines and oxidative stress in the central nervous system. However, the precise mechanisms remain elusive and choosing a feasible individual-representative model to study pathomechanisms is challenging. ELEGANCE (“ELucidating the Effects of Gut microbiota-derived metAbolites iN iPSC-derived co-Cultures from ADHD patiEnts”) aims to investigate possible neuroprotective and neurotoxic properties of gut microbiota metabolites in induced pluripotent stem cell (iPSCs)-derived microglia and dopaminergic neurons from ADHD individuals in co-culture. Neuroinflammatory, oxidative stress and metabolic markers will be measured in different contexts (baseline and after treatment with potentially detrimental microbiota metabolites). Potential restoration effects by gut microbiota derived metabolites in compromised phenotypes will be also explored. These findings will elucidate interaction of microglia and dopaminergic neurons and gut microbiota derived metabolites in ADHD and thereby lead to promising novel drug targets. This fellowship will foster collaboration between world leading institutions and top-notch scientists, introducing me to the microbiome field, enhancing my expertise in transcriptomics, bioinformatics, networking and leadership. The project could significantly impact the knowledge about ADHD pathomechanisms and open doors for new treatment and dietary approaches targeting the MGBA.

Mots clés : attention deficit hyperactivity disorder induced pluripotent stem cell disease modelling neuroinflammation oxidative stress microbiota gut brain axis gut microbiota microglia dopamine

Participants :
- University College Cork (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 252728.64 €
- Associação accelbio (Portugal) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet REBUILD (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Many (immigrant) children are heritage speakers (HSs; bilinguals who acquire a minority language at home, different from the majority societal language in which they are growing up). Ultimate attainment of the heritage language (HL) varies considerably amongst individual HSs—much more profoundly that what can be noted in monolingual counterparts—despite being naturalistic natives from birth. Understanding what factors explain/predict such differences in HS outcomes is a necessary first step in assessing and, ultimately, being able to meet the educational/interventional needs for bilingual HL development. Re-exposure Effect in Bilinguals Under Language Development (REBUILD) propose a novel approach that combines offline and online methods and focuses on a severely understudied, yet crucially important group of heritage speaker bilinguals, namely returnees. Returnees are children of immigrant families who spend a significant portion of their formative developmental years (school age) in a foreign majority language context, a typical HL scenario, yet return to their native HL environment, often as older children or teenagers. This research is important for the global reality in which HL bilingualism proliferates and HL returnees increase year-on-year. Examining the development of returnee’s native HL from the point of re-exposure to the native environment opens up new directions. While research shows that HL bilingualism (HLB) grammatical outcomes vary significantly, findings are largely limited to contexts in which children grow up and stay in an environment where the native HL is a minority language. Environment transitions—as in the case of returnees—open an exciting opportunity to tease apart internal (grammatical structure, non-linguistic cognitive abilities) and external factors (input, use) accounting for HLB.

Mots clés : bilingualism, heritage language bilingualism, returnee, child language acquisition, executive function, eye tracking

Participants :
- Université du Minho (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 156778.56 €
Projet FLAME (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Additive manufacturing (AM) has been proven as a likely potential alternative to conventional manufacturing methods as it is able to reduce the global environmental impact of many industrial products. One of the main obstacles that prevent AM from expanding its application towards fulfilling the requisites of sustainability and green manufacturing, is poor fatigue resistance of AM material caused by multiple intrinsic surface and internal defects. Currently, different post-processing treatments are being used to tackle this challenge by enhancing surface regularity and reducing bulk defects. Despite the enhancement of fatigue resistance after the aforementioned treatments, these are additional steps that result in longer production times and higher costs. Moreover, due to the complexity of geometry and size, sometimes AM components cannot be easily post-processed by regular treatments. Optimizing the AM processes aiming at maximized fatigue life is a plausible solution that significantly minimizes the need for post-processing. However, the main barrier here is the lack of accurate, fast, and economic prediction tools to correlate fatigue life directly to AM process parameters. FLAME will address the aforementioned needs and pave the way towards efficient fatigue life assessment of AM via developing a hybrid framework through the association of physics-based models and machine learning approaches. It will improve the state-of-the-art fatigue life prediction accuracy from 75% to 90%, making them more economical by eliminating experiments and fast with an implementation time of less than 1 minute. FLAME, through its aforementioned performance, will effectively maximize the fatigue life at the design stage which results in a reduction of post-processing demand and a decrease in production costs. Moreover, it boosts the advancement of AM technology to replace the conventional methods paving the path to sustainable manufacturing and minimizing environmental impacts.

Mots clés : additive manufacturing fatigue surface integrity simulation

Participants :
- École polytechnique de Milan (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
- Université de Sheffield (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet MLCULT (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

Europe is home to about 400 UNESCO world heritage sites and has a growing tourism industry employing many people directly and indirectly. Hence, it is of concern to ensure the cultural heritage (CH) buildings are inspected properly and correct damage diagnosis is performed. Incorrect damage diagnosis will lead to loss of cultural value and may lead to the closing of the monument, thus affecting society in general and the livelihood of people associated with it. The proposed MLCULT project is motivated by the need to perform damage diagnosis of CH using image-based machine learning (ML) techniques, thus helping to preserve them. The popularity of ML approaches and deep learning algorithms has increased considerably over the last two decades. Computer-vision-based damage detection employing convolutional neural networks will be integrated with laser scan data, nondestructive testing, and other condition assessment data to provide a better estimate of existing areas of damage. The model will be trained from the database of earthquake-damaged CH collected by the host institutions UMinho and Polimi. Several typologies of damage indicators will be identified and quantified, due to weathering, moisture ingress, algae growth, and efflorescence. The project will be supervised by Prof. Lourenço at the University of Minho, Portugal, who is an international expert on CH, and Prof. Luigi Barazzetti at Politecnico di Milano, Italy whose has expertise in computer-vision, drone and image-based damage detection. Finally, a prototype inspection system (first of its kind in CH field) using drones-based real-time damage detection will be demonstrated, specifically for CH damage pathologies. The proposed method can help in identifying structural anomalies in CH that must be urgently repaired and thus can be used in high-quality civil infrastructure monitoring systems. This method would also enable fast screening of CH buildings after a disaster such as an earthquake.

Mots clés : heritage buildings, heritage maintenance, image processing, machine learning, structural health monitoring, cultural heritage, monitoring and diagnosis, damage detection, computer vision

Participants :
- École polytechnique de Milan (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université du Minho (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172618.56 €
Projet M-FleNS (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

The core aim of the M-FleNS (Multilingual Flexible Neuro-Symbolic Language Generation) project is to explore the extent to which combining the strengths of neural and symbolic (grammar-based) Natural Language Generation (NLG) systems is possible. We will build FleNS generators that (i) exploit grammar-based system aspects to address the vexed problems of poor accuracy (including hallucinations and omissions of content) and data and energy-hungriness in neural generators, and (ii) exploit neural system aspects to address problems with fluency, coverage and robustness in grammar-based generators. The overall ambition is to find solutions for some of the biggest current challenges in state-of-the-art NLG, including semantic controllability, energy greed and suitability for low-resource languages. Combining the Applicant's expertise in symbolic NLG systems and data annotation with the Supervisor's expertise in machine learning and evaluation for NLG, and benefiting from the excellent ADAPT research environment, we will develop a new type of NLG system that combines the best of both worlds, symbolic and neural, to create better NLG systems and components for real-world applications.  The project is well aligned with the European Green Deal strategy and more particularly with the Digital Europe Programme whose main objectives include “bringing digital technology to businesses, citizens and public administrations”. Through a combination of working with the Supervisor and her research group, direct training, international collaboration and self-guided study, the Applicant will expand his spectrum of scientific expertise to Deep Learning methods and human evaluation of NLP systems, strengthen his general knowledge in linguistics, and acquire a comprehensive understanding of the IPR and business related skills needed for further exploitation. This project will allow the Applicant to establish himself as an internationally recognised research leader in the field of NLG.

Mots clés : natural language generation, knowledge graphs, deep learning, rule based, low resource languages, evaluation, semantic web

Participants :
- Université de la ville de Dublin (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 199694.4 €
Projet IIMPAQCT (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Emergent technologies open new avenues for industry and society but rarely create an open and inclusive space to think through their implications. Quantum Computing (QC) currently represents a change in paradigm by offering a unique opportunity to rethink computation from its very inception. In its effects and applications, this is also the time and space to approach creative practice in an entirely new way. IIMPAQCT (Integrated Interdisciplinary Music Practice And Quantum Computing Technologies) explores ways to expand and diversify the community engaged with QC, and its epistemological and praxical connection to the Creative Arts with emphasis in Music. Recent explorations in QC and Music, as well as in the Visual Arts domain, have been pursued in isolation and even detached from contextual artistic practice and theory. The lack of real integration, that engages creative artists in the QC theoretical discussion and practical explorations, makes the distance between Art and Science even wider and hinders the sustainability of a truly diverse society, both socio-culturally and technologically. IIMPAQCT aims to develop and reinforce new interdisciplinary links connecting Arts, Science and Technology through 3 main intertwined research-work dimensions: i) an Artistic dimension promoting a network of creative practitioners engaging with QC while empowering them to be active participants in the field development; ii) a Technologic-Scientific dimension focusing on the improvement and creation of practical tools and methods towards an intersectoral innovation; and iii) a Curricular dimension that unfolds with the creation of study and research spaces in QC and Arts, as spaces for knowledge/theory construction, as well as analysis and multi-artistic creations. This project uses principles of open access by engaging with a local/global community of musicians and artists.


Participants :
- Université de Coimbra (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 156778.56 €
Projet StreamScape (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Cities around the world are undergoing significant transformations and are facing substantial challenges in the form of urban of climate change and ongoing urbanisation. The idea that we can work with nature to improve our cities is now seen as vital. The concept of Nature-Based Solutions has emerged to foster sustainable development by transversally addressing social, economic, and environmental urban challenges. Although the attention to nature-based solutions inclusion is an important pillar of urban sustainability, a clear understanding how they can be implemented in the freshwater landscape, is still missing, even in face of the relevance of the urban freshwaters to wellbeing of the population. This investigation aims to fill this gap, by analysing the social and environmental impacts of urban streams as important nature-based solutions from protecting water quality to reducing natural hazards while preserving biodiversity and providing health and wellbeing benefits to population. By selecting as case studies Aveiro and Coimbra, the research project aims to promote the urban streams and their multiple ecosystem services as important nature-based solutions to mitigate the effects of urbanization and climate change on aquatic ecosystems, in the human health and in the wellbeing of the population. The project will adopt the research strategies: to assess how urban development affect a capacity of urban streams to provide ecosystem services using well-established scientific methods and investigate how the degradation of urban streams reflects on the local residents’ perception of the ecosystem services in terms of benefits, health and wellbeing. In addition, thematic maps of ecosystem services identified in the urban streams will be produced to demonstrate the relevance of urban streams for ecological, cultural and social aspects and to demonstrate can this information can be useful to urban planning and governance.

Mots clés : urban water ecosystem services stream ecology, environmental change nature based solutions people wellbeing

Participants :
- Université d'Aveiro (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172618.56 €
- Université de Coimbra (Portugal) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet MedMaD (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

During the second half of the nineteenth century, the technological revolution profoundly reshaped maritime transport, accelerating the circulation of passengers and allowing steamships to be used for the first time to move large masses of people across the sea cheaply. Alongside migrants crossing the sea to relocate within the Mediterranean basin or to reach hub ports for transoceanic migration, steamships teemed with masses of refugees, pilgrims, deportees, workers engaged in cyclical or occasional movements to access integrated labour markets and even enslaved people, often smuggled as ordinary passengers. In their movements, they all experienced varying degrees of freedom and coercion, determined by the vital interest of colonial empires and nascent nation-states in controlling and managing mass flows across the Mediterranean for political, economic and public health reasons. Once at sea, however, these heterogeneous masses were all forcibly united by a single carrier, the steamship, and the same status of passengers. MedMaD proposes a novel approach to the study of mass mobility in the “wider Mediterranean”, including the Black Sea and the Red Sea, between the opening of the Suez Canal, in 1869, and the beginning of the First World War, in 1914. The project's overall objective is to examine from a global perspective the development of mass transport maritime services in the Mediterranean during the age of steam and analyse their impact on inter- and extra-Mediterranean mobilities and displacements of passengers travelling in low-cost classes (third- and fourth-class or deck passengers, as defined by the ticket).

Mots clés : maritime history, low cost mass transport, transport revolution, shipping companies, transition from sail to steam navigation, passenger lines, mediterranean, red sea, black sea, mobility, migration

Participants :
- Université de Gênes (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet HIPFLAPP (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

The project will develop and exploit theoretical calculations to study particle collisions that feature heavy flavours, namely the charm quark and beauty quark, at the Large Hadron Collider. Identifying heavy quarks is critical to pinpoint specific scattering processes and reject backgrounds, resulting in an unique opportunity to probe the structure of the proton, to improve our understanding of the Higgs mechanism and to possibly unveil the presence of new physics signals in the LHC data. On the theoretical side, the accuracy and the precision of phenomenological predictions must be increased to keep up with the progressively smaller uncertainty on experimental measurements, so that reliable comparisons with experimental data can be performed. More specifically, the project will focus on very accurate computations in quantum chromodynamics to better describe the production of flavoured particles across a wide kinematic range, so that no region of phase-space is left unexplored: these theory predictions will require a combination of both fixed-order and all-order perturbative calculations in the strong coupling constant. A public code with the implementation of the predictions for heavy hadron production at ultimate precision will be assembled, hence providing other researchers in theoretical physics and the experimental collaborations with a valuable tool in the LHC precision era.

Mots clés : qcd, heavy quarks, precision calculations

Participants :
- Université de Gênes (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €