Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet TRANSFORM (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

The late 4th-early 3rd millennium BCE in Mesopotamia featured widespread changes, often cited as a period of societal collapse. TRANSFORM will explore the effect of this rapid change through close examination of pottery production at the site of Kani Shaie in the Kurdistan Region of Iraq (KRI). The key research question driving TRANSFORM is: To what extent are the major societal transformations during this period replicated in the production of pottery at Kani Shaie?  Pottery production is the realisation of a set of social and technological choices. Thus, sudden changes to it– the likes of which are documented during this period at Kani Shaie – are socially and culturally significant. Thus, TRANSFORM will reconstruct the pottery manufacturing process across this transitional period, to investigate the effects of these societal transformations, and how the occupants at Kani Shaie adapted to them. This project will transcend traditional approaches by examining the social dimension of pottery production through application of a multidisciplinary methodology which seamlessly integrates archaeology, material science, geology, and anthropological theory. The researcher’s background and methodology uniquely place him to critically examine how localised trajectories underpin larger socio-cultural transformations. The project will benefit from the researcher’s cross disciplinary skills, combined with unprecedented access to an extensive archaeological dataset, and expertise at UC. In questioning the effect of the LC-EBA transition at Kani Shaie, TRANSFORM will produce significant results by highlighting the effect that local communities had upon, and how they were affected by supraregional cultural processes. This investigation presents an exciting opportunity to examine behavioural transformations when faced with major societal upheaval–a better understanding of which should give us pause to consider the ramifications of impending transformations facing us today.

Mots clés : archaeology, material culture, mesopotamia, iraq, ceramics, early bronze age, late chalcolithic, kurdistan, material culture, thin section petrography, ftir

Participants :
- Université de Coimbra (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 156778.56 €
- Université d'Évora (Portugal) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet WOT (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

The project “Wilderness of Time: Timescapes of Contemporary US Literature (WOT)” proposes a novel and compelling interpretative framework for US fiction, herein named wilderness of time and which arises from the need to promote a reading of US literature that truly acknowledges its impact in framing the world we live in. WOT reworks and reframes the symbolism of the wilderness by considering time as the dimension in which the wilderness experience takes place nowadays and by retracing this metamorphosis in contemporary literary texts. By doing so, it fills a gap in American Studies, broadening the conception of US identity and culture as seen through its literature, starting from and going beyond its funding myths. WOT thus introduces an innovative perspective for both the scholarship concerning the study of time and temporality in contemporary US literature and that concerning the study of the wilderness, envisioning new ways through which literature can serve as an agent for social change. The research question concerns whether the combination of wilderness and time can provide a much needed framework to understand, through literature, how US identity has been changing, as well as the impact of such change—both within and outside its borders. Thus, WOT would enhance the importance of EU institutions as valuable teaching and research centers (if not as counter-environmental institutions) in this field, to be achieved also through the implementation of sustainable and inclusive teaching/research tools. In the present geopolitical context, this will also bring a crucial contribution to a renovated European vision concerning current societal challenges. Engaging with universities in Italy and in the US and making use of DH tools, the project brings a significant contribution to American Studies by introducing a novel approach on US literature and culture, developed through creative and collaborative practices and methods for teaching and research in this field.

Mots clés : wilderness time and literature cultural identity contemporary us literature trauma studies

Participants :
- Université Duke (Etats-Unis) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Bologne (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 288859.2 €
Projet COMPOSE (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Laminar-to-turbulent transition, which critically affects efficiency-focused applications such as wind turbine blades and aircraft wings, remains poorly understood. These flows involve complex turbulent interactions (high turbulence levels, unsteady wakes, separated shear layers), which standard modeling techniques struggle to accurately capture.  This project addresses these challenges by leveraging high-fidelity experiments and numerical simulations to study transition flow physics. While these techniques offer unparalleled detail, the resulting large datasets are difficult to interpret and integrate due to the diverse flow conditions and geometries involved. As a result, the datasets are not immediately usable for developing low-order models and flow control strategies.  The project's goal is to create a compact representation of the complex transition scenario using a data-driven and theoretical framework. This methodology will reveal the driving effects behind the amplification of unstable coherent flow structures during transition. It will integrate three high-fidelity heterogeneous experimental and numerical datasets of turbomachinery flows at engine-relevant conditions. The COMPOSE project leverages these datasets to provide insights applicable across various fields where transition impacts performance.  The outcomes will not only deepen our understanding of laminar-to-turbulent transition but also enable the development of accurate reduced-order models. These models will be essential for creating flow control strategies to reduce the adverse effects of transition in aerodynamic components, such as turbomachinery blading, wind turbine blades, and aircraft wings. The project's impact could lead to significant efficiency improvements in these components, with broad implications for the aerospace and energy sectors.

Mots clés : laminar to turbulent transition, turbulence, data driven decomposition, linear stability theory, turbomachinery, large heterogeneous dataset, high fidelity experiments, direct numerical simulation

Participants :
- KTH Institut royal de technologie (Suède) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université de Gênes (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 193643.28 €
Projet FOTOCER (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

CO2 conversion to value-added mono/multicarbon products is an appealing area of research to achieve negative CO2 emissions while exploiting CO2 as a C-based feedstock. The CO2 reduction reaction (CO2RR) powered by renewable electricity provides a way to effectively utilize CO2. Gas diffusion electrode (GDE)-based CO2RR reactors significantly increase current density to commercially relevant levels due to thinner mass transport layers that overcome the aqueous system’s diffusion constraint. Nevertheless, it is still challenging to achieve highly stable GDE, especially in high current density operation, owing to electrolyte flooding as a consequence of hydrophobicity decline. So, the GDE is the primary driver of CO2RR’s viability, but improving its performance is paramount. What sets this proposal apart from previous researches is that we seek to demonstrate a compelling way to reinforce the structure of Cu-based GDEs via the formation of bimetallic structures pursuing tandem effect without using precious metals, which enhances the selectivity toward C2 products. An improvement in the performance and C2 selectivity is envisaged thanks to the formation of noble metal-free Cu-W heterostructures for the first time, giving rise to heteroatomic reaction sites between oxophilic W and Cu atoms to reduce the bonding energy of adsorbed CO. At the same time, flooding is minimized by the obtained hydrophobic surface topology. The surface topology endows high surface area with adequate hydrophobicity to the GDE to establish an electrode/electrolyte interface, which not only traps more CO2 along the hierarchical Cu-W surface as tandem active sites, but also efficiently prevents electrolyte flooding even at high rates. FOTOCER's achievements will lead to advancements in cutting-edge industrial CO2 to useful C2+ products, which are essential in achieving the EU's environmental targets at an affordable scale-up cost.

Mots clés : co2 reduction reaction co2rr , tandem electrocatalyst, hydrophobic gas diffusion electrode gde , c2 selective product, solar powered co2 electroreduction

Participants :
- Italian Institute of Technology (Italie) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université de Gênes (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet TraaSH (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Since urbanization and climate are getting stronger, for sustainable development it is crucial to enhance the safety and durability of construction materials. TRaaSH aims to study the response of Self-Healing Concrete (SHC) at elevated temperatures and to develop temperatures dependent properties for SHC. SHC is one of the modern concrete types inspired from the natural process of human wound healing and developed to ensure the longevity and durability of concrete structures. Extending the service life of structures is essential for reducing carbon footprints of the construction industry and managing construction waste. Current research on SHC focuses primarily on its mechanical properties and crack healing efficiency under normal conditions and ambient temperatures. Due to lack of investigations, significant research gaps exist in understanding the performance of SHC at elevated temperatures and in fire exposure scenarios. Understating the response of SHC at elevated temperatures is crucial for ensuring the safety of occupants/users and for the sustainability of concrete structures. TraaSH adopts a comprehensive interdisciplinary approach, bridging together material science, rigorous fire resistance testing, post-fire structural integrity, thermal analysis and structural fire engineering. With Dr. Naveed Alam's support and expertise in structural fire engineering, this fellowship will train me in advanced fire safety engineering and computational modeling, enhancing my knowledge of self-healing technologies. The findings from this interdisciplinary research will help with sustainable construction which will in turn reduce the construction sector's environmental impact contributing to SDG 11 (Sustainable Cities and Communities. The project will also help with industrial innovation (SDG9) and will ensure responsible consumption of material (SDG12).

Mots clés : self healing concrete, fire safety engineering, fire tests, temperature dependent properties

Participants :
- Université d'Ulster (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 276187.92 €
Projet SynchInConcert (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Heartbeats and breathing rhythms are essential to life. Lab-based research suggests that certain contextual and social factors can impact the interaction between these physiological rhythms, during joint actions such as ensemble playing. SynchInConcert aims at a cutting-edge contribution to the study of physiological rhythms, by investigating, for the first time to our knowledge, the influence between the cardiac and respiratory rhythms of musicians and audiences in live concerts. SynchInConcert will also investigate how these rhythms reflect the aesthetics of the concerts and are influenced by social and contextual components. Three research events will be held with the Stavanger Symphony Orchestra (SSO) and a full audience in a concert hall. During these events, video, audio, cardiac, and respiratory data from selected musicians and audience members will be recorded as well as questionnaires evaluating their level of immersion in the music. A strong interdisciplinary approach will be adopted, by integrating insights, methods and techniques from several disciplines (i.e. music performance science, psychology, physiology, computer science, acoustic engineering and cognitive sciences). Results can significantly contribute to the study of joint actions, by identifying ways in which physiological rhythms support social interactions. The hosts, RITMO Centre of Excellence in Oslo, Casa Paganini in Genoa (secondment) and SSO (placement), offer a unique opportunity to strengthen my expertise in music psychology and performance (focused on sound and behavioral components of interpersonal interactions in small ensembles) to that of music performance physiology in large orchestras. Supported by the outstanding track record of research excellence of the host organizations, the extensive mentorship experiences of my supervisors, and the new set of skills acquired, this fellowship will enhance my prospects for positions of independent researcher within and outside academia.

Mots clés : ensemble performance, synchronization, entrainment

Participants :
- Université d'Oslo (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 283438.8 €
- Stavanger symfoniorkester stiftelse (Norvège) — Partner, associated partner, Autres, subvention : 0.0 €
- Université de Gênes (Italie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
Projet MIAS (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Mathematics
Statut du projet : CLOSED

The goal of this research project is to develop new methods for data analysis based on algebraic statistics, demonstrate their effectiveness on real data problems, and make them available to the public as software packages.  Three algebraic model invariants are central to this action: the maximum likelihood (ML) degree, the Euclidean distance (ED) degree, and the polar degree. Recently developed in theoretical research, these invariants promise to unlock new algebraic methods for data analysis. This action will realize this vision, expand the underlying theoretical foundations as needed, and produce statistical tools fit for use by practitioners.  The expected impact of this research is fourfold. First, the obtained results will ground the latest theoretical advances in real applications, improving the algebraic statistics community's sense of what is possible and directing future research. Second, they will generate new mathematically interesting results tailored to the data applications of the project. Third, they will produce novel insights about complicated data problems with an algebraic structure, strengthening the case for algebra and geometry in data analysis. Fourth, the easily accessible software produced during this action will introduce algebraic techniques to the data analysis toolkits of data practitioners and domain experts.

Mots clés : algebraic statistics, maximum likelihood degree, euclidean distance degree, wasserstein distance, monodromy, polynomial optimization, polynomial neural networks, algebraic statistical models

Participants :
- Université de Gênes (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 172750.08 €
Projet WEC-Pro (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Wave energy conversion by harnessing untapped ocean resources has the potential to significantly expand the European renewable energy production and portfolio. However, high development costs, complex manufacturing processes, and low technology readiness levels have hindered the commercial scalability of wave energy converters (WECs). The WEC-Pro project seeks to address these challenges by leveraging cutting-edge Large-Scale Additive Manufacturing (LSAM) technologies to streamline the design, production, and testing of WECs. LSAM coupled with adapted optimization tools has the potential of reducing device’s costs by over 10 times. WEC-Pro will take advantage of the strong expertise of Politecnico di Torino in WECs optimization and Europe’s principal LSAM production centre, Caracol, to develop and adapting WEC modelling tools for LSAM application. For the use of the sustainable and fast LSAM, enabling the development of highly efficient and cost-effective devices, it is required to integrate new parameters in form of constrains to modelling tools. WEC-Pro’s primary goal is to integrate required LSAM parameters and upgrade established methods, design and optimization processes for WECs R&D scope. Key challenges of multi-parameter performance design, structural optimization, physical testing and LSAM production of WECS are addressed in three dedicated work packages, respectively. For demonstration, WEC-Pro covers two high-potential case study technologies, PivWEC (near-shore) and PeWEC (offshore), by testing for the first time fully-LSAM produced WECs physical models at Italy’s largest and most advanced Seakeeping tank (INSEAN, Rome). The planned outcomes include the development of open-source tools and models for WEC’s power absorption, structural optimization and data sets for LSAM-WECs benchmarking.

Mots clés : marine renewable energy numerical modelling performance assessment additive manufacturing performance optimization structural analysis experimental testing rotating wec inertial wec

Participants :
- École polytechnique de Turin (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 193643.28 €
- Caracol s.r.l. (Italie) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet REBOOT.AI (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

AI applications are on the rise. This is the case in terms of both number and value, and is coupled with a prominent EU investments in the field and in related research. AI-driven innovations promise great benefits, but also come with clear and concerning risks for data protection that are hard to predict and only-partially covered by GDPR. There is an urgent need to understand if and how regulators should intervene in this clash between AI innovations and data protection. Regulatory sandboxes are the perfect tool for doing so. A regulatory sandbox can be defined as an environment for the testing of innovative products, services or processes by selected private actors under the supervision of a regulatory authority. Their findings can be used to improve future regulation and/or support compliance with current regulation. REBOOT.AI aims at designing a legal theoretical framework to support Member States and their data protection authorities in setting up regulatory sandboxes dedicated to the development of trustworthy AI applications. This framework will be easily accessible in the form of recommendation guidelines, which will be based on both theoretical and empirical research. For that purpose, the project studies the only two regulatory sandboxes in the European Economic Area that explicitly address the interaction between AI and data protection: those that have been activated by the Norwegian Data Protection Authority and the French Data Protection Authority. By setting a standard framework for regulatory sandboxes on AI and data protection, REBOOT.AI will bring about an increased adoption of AI trustworthy applications across Europe, thus significantly contributing to the Horizon Europe Action (HORIZON-CL4-2021-HUMAN-01-02).

Mots clés : regulatory sandbox, regulation, data protection

Participants :
- Université de Turin (Italie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 188590.08 €
- Datatilsynet (Norvège) — Partner, associated partner, Organismes publics (hors enseignement & recherche), subvention : 0.0 €
- Commission nationale de l'informatique et des libertés (France) — Partner, associated partner, Organismes publics (hors enseignement & recherche), subvention : 0.0 €