Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet ZOF (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

The project ZOF: Zona Franca – Ideas of territory in the Carolingian Empire will investigate and visualise early medieval ideas of territory, specifically in the south-eastern regions of the realm.  ZOF will use a new and unique two-part approach: firstly, investigating early medieval source texts using theories of critical and discourse theories as well as cultural geography, and, secondly, applying techniques and methods from digital humanities, critical geography, and GIS to analyse the sources and visualise the research findings. This will permit a fresh view on early medieval territories and territoriality as represented in the written sources. One important step towards this is the inclusion of spatial narratives and terms that hitherto were cast aside as ‘not plausible’. All early medieval discourses on territory in the broadest sense will be included in ZOF. The resulting data will be stored in an open-access database and visualised in an interactive map application: ZOF-MAP. This application will use new and more accurate methods of visualising medieval territories than traditional historical maps or GIS: ZOF will be using methods of critical cartography, mental mapping, and deep mapping.  As an open access online application, ZOF-MAP will reach a wider public and thus give a broader audience access to cutting edge historical research.

Mots clés : early medieval history, digital humantities, spatial history, historical geography, historical gis, territory and territoriality

Participants :
- Université de Trente (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
Projet RydbergAtomArrayTech (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

The proposed research plan sets itself the main goal of preparing useful large resource states using quantum systems consisting of neutral atoms. These non-classical resource states are at the core of the full range of quantum technologies, from quantum metrology to quantum error-correction and communications. This main objective will be achieved through the synthesis of two novel techniques developed in distant research subfields, both under the umbrella of Quantum optics and information. On the one hand, we leverage the unique versatility of neutral atom systems, which has allowed these systems to emerge as a leading platform for realizing quantum technologies. On the other hand, we bring in the insights that were recently developed in the field of Quantum Algorithms, which has improved the asymptotic complexity of the most important fault-tolerant algorithms, including Hamiltonian simulation and search algorithms. The collection of these algorithmic insights are called Quantum Signal Processing (QSP). Our approach is novel from two perspectives. First, we will propose QSP as a method for controlling near-term quantum systems and preparing resource states, in contrast to its conventional application in implementing fault-tolerant quantum algorithms. Second, we will develop techniques to make implementations of QSP-based state preparation and communication protocols feasible in near-term systems. The participant's expertise in quantum information and the host's expertise in atomic physics perfectly complement one another to render this ambitious objective possible.  The proposed project is embracing an ambitious co-design approach, where the quantum software and the concrete hardware platform are developed in synchrony. The co-design approach is a requirement for developing quantum technologies in near- and intermediate-term, and a natural next step for combining the decades of theoretical and practical insights from designing quantum algorithms and devices.

Mots clés : neutral atoms, quantum control theory, quantum signal processing, resource state preparation

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 230184.72 €
Projet CompoundingPharma (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Economic Sciences
Statut du projet : SIGNED

When standard medications are not appropriate for a patient’s needs, e.g., due to their allergies, retail pharmacies must rely on compounding pharmacies to blend raw ingredients and produce a personalized medication to order. Given the growth in demand for personalized medications and the legal mandate in some countries that compel pharmacies to provide such medications to patients, the efficient operation of compounding pharmacies is critical to timely access to medications. However, there are complex operational dynamics when sequencing production driven by differences in medications and the need to prevent cross-contamination that lead to production delays for patients. Inspired by discussions with the management team of a compounding pharmacy, this project aims to improve operational efficiency and reduce delays by developing a dynamic production control algorithm that sequences medication production. The challenge of identifying optimal policies for multi-product production systems in the presence of set-up times has lead researchers to focus on heuristics, however, existing policies do not account for the sequence-dependent set-up times or batch processing in this setting. We propose and evaluate a theory-driven heuristic based on a novel modification of an optimal control engineering technique, known as the State-Dependent Riccati Equation approach. The performance of this heuristic is to be evaluated both theoretically as well as numerically relative to alternative heuristic policies via simulation. This contributes to the operations management and management literature, through the development and analysis of an innovation in production governance, a critical component of the industrial value chain in this setting. Moreover, the proposed algorithm can be modified for use in other complex production settings where optimal policies are intractable, and decision-makers must rely on heuristics.

Mots clés : operations management, compounding pharmacy, polling queue, approximate dynamic programming, state dependent riccati equation

Participants :
- IE University (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
Projet NARR-ATY-VES (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Economic Sciences
Statut du projet : CLOSED

Among the lessons learned from the recent pandemic is the importance of embracing the unconventional. Indeed, atypical approaches have proved to be a key strategic resource for coping with unpredictable events, promoting socio-cultural transformation, and expanding the capacity to deliver valued goods and services. However, although a departure from what is a standard positioning within socio-cultural domains may open up pathways to exceptional impact, existing research shows that atypical ideas, products, or actors generate mistrust and encourage rejection as they are subject to skepticism and face a higher risk of being considered ambiguous or illegitimate. This project's aim is to study how narratives can support the reception of atypicality and stimulate its diffusion. Narratives are powerful means of sustaining the alignment between actions and established conventions, especially in the face of situations that depart from expectations or definitions of what is considered contextually normal. NARR-ATY-VES (Narratives for Atypicality) aims to 1) develop an understanding of the role of narratives' content and structure in promoting and supporting the evaluation of atypicality and 2) introduce an innovative computational approach based on cutting-edge Natural Language Processing (NLP) techniques to model two fundamental dimensions of narratives, namely their contextual embeddedness and their sequential unfolding based on cutting-edge Natural Language Processing (NLP) techniques, to map narrativity, i.e., the set of narrative elements that characterize the complex nature of narratives. Through this hands-on 2-year research project, the Researcher's knowledge and skill will be enhanced enormously, and he shall be en route to becoming an expert in this field.

Mots clés : atypicality narratives innovation social evaluation natural language processing sequence analysis

Participants :
- IE University (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 181152.96 €
Projet IMRA4CE (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

This project, titled "Inhomogeneity Modelling of Reclaimed Asphalt for Circular Economy in Transport Infrastructure" (IMRA4CE), aims to provide interdisciplinary training for the talented young researcher Dr. Quan Liu. The research will focus on the modelling of inhomogeneity in reclaimed asphalt (RA) with the goal of promoting circular economy principles within transport infrastructure. Key outcomes from IMRA4CE include: (1) elucidation of the mechanisms governing asphalt inhomogeneity; (2) development of innovative fatigue models that consider RA inhomogeneity, and (3) integration of these novel fatigue models into industry practices to optimize design and improve fatigue prediction. IMRA4CE offers comprehensive training to the Fellow, nurturing a promising expert in pavement circular economy with interdisciplinary expertise.This encompasses expertise in pavement mechanics, waste management, physical modelling and computer-aided technology, data modelling and analysis, materials characterisation, and industrial application. In addition to the above, the Fellow will receive interdisciplinary training in project management, intellectual property protection, teaching and supervision, networking, and communication. Upon completion of the training, the Fellow will be equipped to independently lead research projects in Europe.

Mots clés : circular economy pavement materials asphalt recycling inhomogeneity fatigue

Participants :
- Université de Nottingham (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Holcim uk limited (Royaume-Uni) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de Liverpool John-Moores (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet Adv-SAEC (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

Single-atom catalysis has become one of the most active new frontier in heterogeneous catalysis, as well as electrocatalysis. Single-atom catalyst (SAC) represents the ultimate in atomic effiency to minimise the consumption of expensive metals (Pt, Pd, Rh, etc.). Single-atom electrocatalyst (SAEC) also draw public attention to develop cleaner energy technique such as fuel cell to replace traditional fossil fuel. Aided by recent advances in synthetic methodologies, characterization techniques and computational modelling, amounts of SACs have been developed which exhibit distinctive performances for amounts of reactions. SACs are known to have specific active centres which are strongly affected by surrounding coordination structure, such that unique opportunities exist for the rational design of new catalysts with high activities, selectivities and stabilities. However, due to inevitable heterogeneities in SACs such as the nature of active sites and their distribution, understand of structure-performance relationship at atomic level and rational designs from fundamental insights are still challenging. Herein, we propose the use of the metal/supports SAC model system to understand the fundamental mechanisms, where we can precisely determine and even selectively modify the active site, and unravel the role of structure in catalytic activity. In this project, I describe how we will determine the sites that robustly anchor metal atoms on typical nitrogen doped carbon support in UHV, test their performance in newly-developing electrochemical cells, and further reveal reaction mechanism by in situ spectroscopy (IRAS, Raman) and theoretical calculation. The outcome will be promising to bridge the complexiy gap and recreate the optimal active sites on real SACs and lead the way into a new era where heterogeneous catalysts are designed based on fundermental insights.

Mots clés : single atom catalysis scanning probe microscopy electrochemistry

Participants :
- Université technique de Vienne (Autriche) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 183600.96 €
Projet POHOWEP (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Floating Offshore Wind Turbines (FOWTs) have become an emerging trend in wind energy development in the past few years. They offer the possibility of a clean power supply for highly populated countries with access to a deeper offshore area. The main hurdle with FOWTs is that they need to be stabilized since platform motion is undesirable. It makes the rotor aerodynamics and control more complex and reduces aerodynamic efficiency. Additionally, platform motion increases stress on the blades, rotor shaft, yaw bearing, and tower base and it can reduce the component lifespans. FOWT platform motions in pitch, roll and heave must be limited within an acceptable range. Some researchers hypothesized that the platform stabilization may decrease the need for the platform steel mass, active ballast or/and taut mooring lines.  Performance Optimization of a Hybrid Offshore Wind-Wave Energy Platform (POHOWEP) is a project which aims to (1) combine a FOWT with Oscillating Water Columns (OWCs) to harness both wave and wind energies and (2) improve the stabilization of the FOWT using the OWCs as an active structural control. The OWCs will be integrated into the floating barge platform which has not been investigated in previous research works. A Machine Learning-based control strategy will be developed to control all the Power Take-Off systems of the OWCs at once. The control of multiple OWCs on a single FOWT requires an adequate strategy that takes into account not only the plant’s state variables but external environmental conditions as well (wind speed, wave speed, wave heights, etc…). The consideration of this external data motivates the use of a Machine Learning (ML) module for the estimation and prediction problems. An ML module will help in the prediction of future wind and wave speeds and estimate the proper reference input value of the designed controllers. Many research works using ML for FOWT’s have been published and proved that ML is a promising solution.

Mots clés : automatic control, control design, floating offshore wind turbine, machine learning, oscillating water column, platform stabilization, fore aft and side to side displacements, wind energy, wave energy

Participants :
- Université du Pays basque (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 252724.32 €
- Université de Victoria (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet HISSING (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Tinnitus disorder, often referred to as "ringing in the ears," is a disabling medical condition characterized by a subjective perception of sound without any external acoustic stimulus. It is linked with a range of psycho-social disturbances, including anxiety, depression, stress, irritability, concentration difficulties, and sleep disorders, resulting in behavioral changes and functional disability. Given the lack of effective drug treatments, comprehensive public health actions are needed. First, prevention requires the identification of risk factors predicting tinnitus onset and associated distress. Secondly, improving tinnitus clinical management depends on identifying factors predicting the worsening, stability, or improvement of tinnitus distress over time. Finally, understanding the mechanisms underlying tinnitus by integrating socio-psychological and cerebral aspects is crucial to better address this pathology and provide leads to find treatments. We will address the methodological limitations typically associated with small datasets using two complementary datasets. The UK Biobank provides information on the socio-economic background, the physical and mental health of 500,000 participants with longitudinal assessments. The Audicog dataset ensures high precision in hearing and cognitive evaluations on 300 participants with or without tinnitus. We will use machine learning technics on the UK Biobank data to identify i) the socio-demographic, psychological, cognitive and health related factors predicting tinnitus apparition and evolution over time. The validity of those risk factors will be tested during a clinical study performed in a tinnitus clinic. We will also determine ii) the cerebral patterns associated with tinnitus using machine learning algorithm. We will explore the links between the cerebral patterns and the sociopsychological, auditory, emotional and cognitive factors with the Audicog dataset to establish an integrative model of tinnitus.

Mots clés : diagnostic and therapy of tinnitus, tinnitus distress, big data

Participants :
- Institut Pasteur (France) — Coordinator, beneficiary, Recherche, subvention : 268025.28 €
- Assistance publique - Hôpitaux de Paris (France) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université McGill (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet NaplaGro (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Groundwater is the largest drinking water resource on earth and 75% of EU residents depend on groundwater as water supply . Plastic contamination of drinking water supply wells has recently been documented. Plastic particles are a vector for pollutants ; interfere with biogeochemical cycles and nutrient transport , while particular nanoplastic (NP) is shown to cause adverse effects on human health. Hence, drinking water contamination by NP is a serious threat to human health. To protect the Earth´s largest freshwater reservoir and guarantee a sustainable use of water resources within Europe for future generations, we need to understand NP behavior in groundwater aquifers. In this MSC-action, I will study the transport behavior of NP particles in complex mineral and biogeochemical groundwater settings from lab- to field scale in order to embrace the natural complexity of aquifers. The following MSCA objectives address four major knowledge gaps of NP transport in groundwater systems: i) How does NP shape affect transport in groundwater? ii) Can flow rates modify NP transport in complex mineral and biogeochemical porous media settings? iii) Are fungal communities able to retain NP under realistic aquifer conditions? iv) Can findings from laboratory studies be up-scaled to field scale studies? I will answer these objectives by conducting laboratory experiments combining nanotechnological methods with novel microfluidic chips as well as field scale experiments using a tracer injection method. With these approaches, we generate tracer breakthrough curves inferring sediment specific retention rates, while they also enable us to gain better mechanistic understanding of NP transpor in porous media. This MSCA will be a stepping-stone in understanding NP transport in groundwater environments more systematically. Such knowledge will inform the development of new environmental models to enhance the predictive capability of NP pollution in drinking water reservoirs.

Mots clés : groundwater, nanoplastic, aquifer vulnerability, porous media nanoplastic interaction, 

Participants :
- Université de Lund (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 222727.68 €
- Université McGill (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet KEYSTONES (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

KEYSTONES aims to explore the concept of “cultural keystone species” -species of exceptional cultural significance to a specific sociocultural group- as a global biocultural tool to inform biodiversity conservation. Biodiversity conservation initiatives often neglect Indigenous Peoples and local communities' environmental stewardship, and thus to undesirable ecosystem shifts and biodiversity loss. To limit the biodiversity crisis, novel approaches propose expanding conservation initiatives beyond mere biological diversity, implementing actions that consider local values, culture, knowledge, and beliefs. The concept of “cultural keystone species” has the potential to inform and shape local biocultural conservation initiatives, although its use in conservation is still limited. Therefore, KEYSTONES will explore the operationalization of this concept through an interdisciplinary and intersectoral project articulated in four work packages (research, training, communication and management), that will consolidate my leadership in ethnobiology for conservation. The work package “research” is twofold with the “knowledge” part exploring key aspects of the “cultural keystone species” that can inform biodiversity conservation and the “action” part translating the produced knowledge into practices to be applied in conservation initiatives. KEYSTONES is based at the Universitat Autònoma de Barcelona under the supervision of the leading scientist Prof. Reyes-Garcia and will be conducted in collaboration with Miawpukek Mi'kmaq First Nation (Canada) and Huancavilcas and Montubios People (Ecuador). This global fellowship with the outgoing phase at the University of Guelph (Canada) and a secondment at the Pontificia Universidad Catòlica de Ecuador, will allow me to grow as an independent researcher thanks to interdisciplinary training placing me at the forefront of the research on biocultural approaches to address pressing global challenges such as biodiversity loss.

Mots clés : biocultural diversity biodiversity conservation socio ecological systems local ecological knowledge indigenous peoples and local communities interdisciplinarity knowledge and action

Participants :
- Université pontificale catholique d'Équateur (Équateur) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université autonome de Barcelone (Espagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 318138.72 €
- Université de Guelph (Canada) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €