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

As global temperatures continue to rise due to climate change, the railway industry faces an important challenge: track buckling. Railway tracks, made of steel rail sections welded together and placed on sleepers, are susceptible to thermal expansion during hot weather, leading to dangerous track shifting. Such buckling not only poses a significant safety hazard , and causes train derailments , but also disrupts transportation networks, resulting in substantial delays. For example, recent surges in heatwaves across Europe in 2022 led to widespread buckling-induced service cancellations. Considering climate change projections show that future temperature changes will be geographically dependent (e.g. North vs South Europe), buckling risk will differ depending upon geographical location. This is important because buckling resistance is heavily influenced by the track sleepers, which although designed to last >120 years, do not consider future climate changes in their design. To address this, CRRS will develop a novel railway sleeper design method that reduces track buckle risk compared to traditional approaches. This will be achieved by applying a novel recycled rubber coating to sleepers to increase surface friction, while also designing sleeper geometry to meet expected thermal climate changes in the geographical region it will be installed.


Participants :
- Université de Leeds (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 260347.92 €
Projet TRANSMAR (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

TRANSMAR aims to provide innovative perspectives and knowledge on the introduction, appropriation and circulation of the thought and texts of the Eastern Fathers in the West before Humanism and contribute to break the myth of the medieval ignorance of Greek. The project focuses on one marginal and emblematic translator, the Italian Franciscan dissident Angelo Clareno (ca. 1260-1337), best known as leader of the so-called fraticelli, persecuted all his life by the ecclesiastic authorities, and several Greek patristic texts that were first translated into Latin between the late 13th and early 14th centuries. Some of these, which have a long lasting influence on Western Christian spirituality until the Renaissance, were translated by Clareno himself, especially during his forced exile in Armenia and Greece. The others are attributed to him. By establishing and analysing the manuscript tradition of each of these translations TRANSMAR’s purpose is to understand how these Eastern patristic texts were introduced in the West for the first time and to evaluate their socio-cultural impact. By studying how and by which networks texts translated by a representative of a minority religious group spread, the project also aims to reflect on the social function of minorities in the long term. Based on a resolutely interdisciplinary approach, at the intersection of philology, manuscript studies, history of religion and spirituality, history of dissent/minorities, medieval translation, TRANSMAR is intended to determine the texts actually translated by Clareno, to investigate the circumstances of their composition, to map their circulation in Europe and to identify the networks through which they circulated.

Mots clés : latin philology, byzantine philology, medieval translation, manuscript culture, history of dissidence, history of religion and spirituality

Participants :
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet KnowingDOM (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

This project will investigate how knowledge production takes place within the context of an international organization (IO) – the International Labour Organization (ILO). It will look into how what we know about domestic work has developed in the context of the establishment of the ILO’s Convention on Domestic Work (C189). The latter is a landmark global treaty that seeks to set employment standards and norms, for domestic workers. To date, C189 has only been ratified by 33 countries. The low ratification rate belies the demand for this kind of worker worldwide. This is an indicator of a ‘global care deficit’ and ‘crisis of social reproduction.’ This demand will not only increase in volume but also scope as the global population continues to age. The increasing complexity of these mobilities demand collective action and provision of global public goods. This project will examine how various actors engage with an international institution in making knowledge claims about domestic work. It will illustrate the contingency of these claims, to show that the process by which knowledge about domestic work is created is highly contentious - as actors compete over definition of terms, scope, jurisdiction, etc. By investigating how ‘science’, or the authoritative production of knowledge claims, informs politics and vice versa, this project aims to illustrate what Sheila Jasanoff calls civic epistemology: “the institutionalized practices by which members of a given society test and deploy knowledge claims used as a basis for making collective choices.” This project draws from the sociality of knowledge production in feminist interventions in science and technology studies that attend to different sources of epistemic authority, including voices ‘from below.’ The project will proceed in two stages: an analysis of the run-up to C189’s adoption and an investigation of how the ILO’s norm-setting activities diffuse to and from a regional organisation – the European Union.

Mots clés : domestic work, international labour organization, domestic worker convention, feminist science studies

Participants :
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet PETRIFY (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

Fishing is one of the greatest threats to marine ecosystems, especially in coastal areas, where its impacts, combined with other human activities profoundly alter ecosystem dynamics. Moreover, climate warming exacerbates these effects and poses additional stress that will increase in the following years. Marine Protected Areas (MPAs) have been established to mitigate these impacts and promote ecosystem resilience by safeguarding specific regions, yet their capacity to buffer the effects of climate warming remains uncertain. While Marine Ecosystem Models (MEMs) are frequently employed to assess the impacts of MPAs under various climate change and fishing scenarios, they rarely account for the behavioral responses of species to protection, which remains a critical scientific gap. This project aims to address this question by investigating the trophic ecological effects of no-take MPAs on fish populations using an interdisciplinary approach that combines fieldwork, laboratory analyses, and advanced ecosystem modeling. A key focus will be on understanding how protection influences fish behavior through the concept of "landscapes of fear," where predation risk alters prey behavior and trophic interactions. Additionally, the project will develop a novel modeling framework to accommodate dietary flexibility within MPAs, allowing for more accurate projections of biomass trends under various climate change and fishing scenarios. By exploring these dynamics in both the Mediterranean Sea and the Atlantic Ocean, the research will offer critical insights into how MPAs can mitigate the effects of climate change and enhance ecosystem resilience. Hosted by the Institute of Marine Sciences (ICM-CSIC) and in collaboration with AZTI-BRTA, this project will contribute valuable knowledge to inform sustainable management strategies for marine conservation.


Participants :
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 194074.56 €
- Tecnalia (Espagne) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet MLTI-PHASE (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Multiphase flow (MF) is the simultaneous flow of materials with two or more thermodynamic phases. MF occurs in numerous settings: bioengineering, conventional and nuclear power plants, oil and gas production and transport, pharmaceutical industry, combustion engines, chemical industry, flows inside the human body, biological industry, and process technology, to name a few. Researchers use experimental and theoretical techniques to study MF. Experimental techniques are usually restricted to smaller domains or laboratory scales due to very high costs; in addition, experiments in realistic conditions are very difficult to manage. On the other hand, theory usually requires numerical computation, which is very time-consuming for realistic MF problems. The objective of this study is to develop a novel machine learning (ML)-based hidden fluid dynamics approach for MF. This innovative method combines ML and fluid dynamics by means of information accessible from photographs of flow visualizations and governing equations. The developed approach will considerably reduce the cost and time required to analyse MF systems. It will unlock many opportunities to improve the design and efficiency of existing and future MF systems, thus lowering design/operational costs. This will be the first study to develop a ML-based model for MF. The novelty of the proposal is that it will open the opportunity to explore, via a relatively cheap and fast computation method, the vast number of design parameter variations normally needed for the optimisation of MF systems (e.g. efficiency, pressure drop, etc.). This contrasts with expensive and time-consuming experiments and time-inefficient parameter studies involving traditional computational fluid dynamics. The proposal will be carried out in three stages:  1) To develop a ML-based model for MF.  2) To test the model with several benchmark MF problems. 3) To use the model to improve design and reduce cost in an actual practical environment.

Mots clés : fluid mechanics multiphase flow machine learning

Participants :
- Cadfem ireland ltd. (Irlande) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Applied process company limited (Irlande) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de Limerick (Irlande) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 215534.4 €
Projet DREAM (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Magnesium (Mg) alloys, with their excellent mechanical properties, outstanding biocompatibility, and gradual degradation within the body, are demonstrating vast potential for applications in the medical field. Their greatest advantage lies in their ability to degrade in sync with the body’s healing process, eliminating the need for a second surgery to remove traditional implants. However, in chloride-rich physiological environments, Mg alloy implants are prone to rapid corrosion, leading to early failure and posing risks to patient health. To address this challenge, the DREAM project integrates cutting-edge research on Mg alloys, convolutional neural networks (CNNs), density functional theory (DFT) calculations, and pH-responsive materials, with the goal of developing intelligent biomedical Mg alloys with controlled degradation rates. First, the project will establish a comprehensive database of Mg-Zn-Ca-RE (rare earth) alloy corrosion and mechanical properties to support the accurate prediction of alloy performance using CNN models. By incorporating DFT calculations, the project will gain deeper insights into the corrosion and mechanical behaviours of Mg alloys, further enhancing the prediction accuracy of the CNN models. Ultimately, the optimized alloys will be combined with pH-responsive materials to achieve intelligent degradation control, ensuring the degradation rate aligns with the body’s healing process. Through this innovation, Mg alloys are expected to see a 30-40% improvement in corrosion resistance, a 50% reduction in experimental time, and a significant decrease in harmful waste production. The DREAM project will play a crucial role in the advancement of green medical technologies while driving innovation in biomedical materials.

Mots clés : rare earth magnesium alloys, intelligent degradation control, convolutional neural networks, density functional theory, ph responsive

Participants :
- Université de Southampton (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet DAWNS (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

Type Ia Supernovae (SNe Ia) remain unparalleled probes of astronomical distances and provide crucial constraints when measuring the properties of dark energy. But recent cosmological analyses with SNe Ia have pushed the boundaries of our physical understanding of these standardisable candles. The largest source of cosmological systematic uncertainty for SNe Ia is the impact of astrophysical effects from both extrinsic host galaxy properties (such as dust content) and the intrinsic effects of the SN. Without better understanding how SNe Ia interact with, and are co-dependent on, their host environment, the key cosmology programs of future surveys, such as the legacy survey of space and time (LSST) from the Rubin Observatory, will not reach their goals. My MCSA Fellowship will make use of a new high-quality sample of 3,000 SNe Ia and their hosts taken from the Zwicky Transient Facility (ZTF) and the internationally-recognised expertise of the host, the University of Southampton. I will use this as a basis to better understand SNe Ia for use in cosmology and in astrophysics. I will create a catalogue of the host galaxies with high-quality measurements across the electromagnetic spectrum, providing global and local measurements of galaxy properties to probe how they impact SNe Ia. Then, I will use integral field spectroscopy of local SN hosts to provide hyper-local measurements at the site of the SN Ia explosion, augmenting the statistics of the host galaxy catalogue with in-depth measurements. These two work packages will then be combined to assess the impact of these host galaxy effects on cosmology, determining which galaxy evolution processes drive the observed correlations of SN Ia brightness, and the ideal tracer to use for the high-statistics cosmology analyses of Rubin/LSST. This final work package will also shed light on how SNe Ia may be used as a probabilistic tracer for host galaxy evolution, providing a new and independent tool for use in astronomy.

Mots clés : type ia supernovae distance measurement

Participants :
- Université de Southampton (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 260347.92 €
Projet DERISK (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Climate change mitigation requires a fast and efficient transition to clean and sustainable energy production.Enhanced Geothermal Systems (EGS) play a key Climate change mitigation requires a fast and efficient transition to clean and sustainable energy production. In this context, Enhanced Geothermal Systems (EGS) can play a key role in facing this challenge since, with this technology, clean energy production from the Earth's heat is no longer confined to volcanic or hydrothermal regions. Despite this potential, EGS presents society and economy-related problems that need to be solved to ensure operational safety, continuity, and public acceptance of such industrial projects. Induced seismicity is the major obstacle to the development and social acceptance of EGS projects. In the last years, several damaging earthquakes have been associated with EGS, leading to the definitive closure of the involved projects and raising social concerns against this form of energy production. With DERISK we aim to develop new paradigms for induced seismicity analysis, combining the latest available data acquisition technologies, such as distributed acoustic sensing (DAS), with innovative deep-learning techniques. To characterize induced seismicity with unprecedented resolution and accuracy, we want to develop a next-generation data analysis framework combining deep-learning and waveform-based seismic imaging techniques. Our final goal is to produce deep-learning-based enhanced microseismicity catalogs that will be used to test the performance of new induced seismicity forecasting models exploiting the recent research advances in the field of physics-informed machine learning. The techniques developed within DERISK will be tested and validated with high-quality induced seismicity datasets collected at different EGS sites. If successful, DERISK will open the way to a safer and more widespread development of EGS projects, contributing to the transition to sustainable energy production.

Mots clés : induced seismicity, deep learning, geothermal energy

Participants :
- Université de Pise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet DEVELOP-MENTALITIES (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

How applicable are economic development models, approaches, and policies of the EU to the ideational, political, and structural conditions of Middle Eastern societies? This project provides answers to this question by examining Islamic and Islamist views on state, society, and economics in Yemen – the poorest country in the MENA region. The project contrasts divergent ideas of development among Yemen’s Islamists-in-exile, focusing on the Houthis, the Salafis, and members of al-Islah living in Turkey, Saudi Arabia, the United Arab Emirates 8UA), and Oman, comparing local "develop-mentalities" with those prevailing among Western donors. It leverages the momentum of the slowdown of hostilities enabled by the recent Iran-Saudi deal, and the ongoing Saudi-Houthi negotiations, through an innovative methodology that combines concepts and approaches from Oral History, ethnography, economics, and politics. Academically, the project breaks new ground in the field of Islamic and Islamist economics by enriching our understanding of how political actors in the Global South think about state, modernity, globalization, and capitalism. It thereby contributes to Yemen’s history since 2011 while enriching our understanding of MENA geopolitics with new subaltern perspectives of the southern Arabian Peninsula. It further sheds light on the intersectionality between the epistemic universes of Western development theory and practice, and its applicability and receptivity in a complex, war-torn society that is dominated by tribalism and power politics. The secondary objective is to make a tangible contribution to the EU’s current efforts to transition beyond humanitarian, and towards economic, forms of development policy. By creating an unofficial line of communication between Yemen's Islamists and EEAS officials, the project intends to yield pragmatic and actionable policy outcomes while adding a critical, but constructive, perspective on the EU’s current development efforts in Yemen.

Mots clés : yemen, economic development, political islam islamism, history of yemen

Participants :
- Université Ca' Foscari de Venise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet Wearable Sensors (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Economic Sciences
Statut du projet : SIGNED

The main objective of this study is to investigate the utilization of wearable smart sensors as a means to enhance employee well-being and performance within the workplace. This research proposal introduces a comprehensive approach, aiming to employ wearable smart sensors for the empirical examination of the factors that impact employees' well-being and productivity during operational tasks. The study will focus on specific sectors, such as manufacturing and services, utilizing data from these sensors to monitor individual actions, group behaviors, and environmental influences. In certain instances, the study will also consider the attitudes and behaviors of customers as relevant contributing factors. Overall, this research seeks to provide valuable insights into the potential of wearable technology in comprehending and improving the work-related factors affecting employees. This study adopts a qualitative case study design, specifically employing a multiple case study approach to explore and compare various strategies and approaches employed in assessing the well-being and productivity of workers. The significance of this research lies in its emphasis on often overlooked human factors that exert a substantial influence on employee well-being and productivity within the workplace. By harnessing the capabilities of wearable smart sensors, the study is poised to offer real-time data on individual attitudes, group dynamics, and environmental variables that shape employees' experiences while on the job. In essence, this study endeavors to contribute to workplace improvement by comprehensively understanding and addressing these pivotal human dimensions. The findings of this study will be disseminated through publication in reputable research journals, along with presentations at seminars, workshops, and the authoring of book chapters to facilitate the sharing of knowledge and its impact on the wider academic and professional community.

Mots clés : wearable smart sensors, workers well being, industry 5 0, modern hrm, productivity

Participants :
- Université de Pise (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 209483.28 €