Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Model Completion through Nonlinear System Identification (COMPLETE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499849.0
EU funding (EUR): 1499849.0
Participants: 1
Project status: SIGNED

Systems and control engineers aim to master increasingly complex dynamical systems while including stronger performance, operational and energy constraints. As model-based control design remains the dominant paradigm, this results in an increasing need for nonlinear modeling. However, model interpretability and generalization capabilities form important roadblocks for a wide adaptation and applicability of nonlinear system identification methods. Strong prior knowledge is given by existing models, provided by system designers and engineers, even though they do not capture all the nonlinear dynamics of the real-life system. These models are currently not accounted for during black-box system identification. COMPLETE aims to develop a comprehensive nonlinear system identification framework to obtain accurate and interpretable models of measured complex system dynamics by completing an approximate pre-existing model through black-box nonlinear system identification. New theory and algorithms are put in place to 1) provide model structures, algorithms and theory that flexibly interconnect the pre-existing model and the black-box completion 2) ensure that data-driven completion models are interpretable and preserve key system theoretic aspects 3) data-driven experiment design strategies to detect, quantify and localize model errors at low experimental cost. These objectives are far beyond the actual abilities of system identification, lifting the model completion for dynamical systems from ad-hoc approaches to a systematic, flexible, theoretically supported framework. My leading expertise on structured nonlinear system identification, and recent proof-of-concept results ensure the feasibility of the project. The resulting system identification framework is applicable over a wide range of engineering disciplines (mechanical, electrical, biomedical) and provides system engineers with the necessary insight to guide them towards better solutions for tomorrow's industry.

Keywords: system identification
Latin American Testimonies in Italy: a Living Library Between the Mediterranean and the Andes (LATILMA)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Peru
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 167019.84
EU funding (EUR): 167019.84
Participants: 2
Project status: CLOSED

The aim of the project "Latin American Testimonies in Italy: a Living Library Between the Mediterranean and the Andes" is the collection, analysis, and dissemination of testimonies of Latin American migration to Italy during the last thirty years. The study will be carried out from a gender perspective, focusing on the migration of women and LGBTQ people, to underline cultural and literary aspects related to migration and determined by migrants' intersectional conditions. In addition, particular attention will be paid to testimonies by people from the Andean area, given their importance in Italy. The collection of "migrant memories" from a gender perspective will take place both in Italy and in the area of ​​origin of the Andean migrant communities, thus wanting to reconstruct the narrative of a to-and-fro migration. The project wishes to underline the creation of an image of the migratory experience that also involves places of departure, families and that, in this way, tells the cultural impact of migration both on the places of origin and on those of arrival, overcoming a vision of migration as a linear and one-way process, on the one hand, and also overcoming old concepts such as those of “center” and “periphery” at a cultural level. In the second part of the project, the collected testimonies will be published as an online, multimedia, and open access anthology. It will include an introduction written by the Researcher and by two authors selected from among those who created the included works, to recognize the subjectivity and authorship of the protagonists of the testimonies. The multimedia anthology will be made available, among others, to Language and Translation students of the European, American, and Intercultural Studies of the Sapienza University of Rome, so that they can create translation laboratories starting from it, thus completing this testimonial, choral and shared work.

Keywords: testimonies,migration,gender perspective,hispano american migration to italy,stories,poems,documentaries,performances,short films,films,novels,andean communities,migrant memories
New Paleo REanalYsis FOR improved understanding of Pacific Decadal Variability (Prey4PDV)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Norway
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: SIGNED

The Pacific Decadal Variability (PDV) characterises the fluctuations in sea surface temperatures across the Pacific Ocean over decadal to multi-decadal timescales. As the primary driver of variability at these scales, PDV exerts a significant influence on the climate in surrounding regions. It contributes to significant regional climate events such as floods and bushfires while also playing a pivotal role at the global scale by amplifying and mitigating human-induced global warming. Despite a significant effort in recent years to understand the root mechanisms of PDV, our understanding remains hampered by the limited duration of instrumental observations that mainly cover the 20th century with large undercovered sub-regions. It ultimately inhibits the study of longer-term climate variations and especially the role of ocean dynamics. This knowledge gap significantly hampers our confidence in climate projections for the next few decades, particularly at the regional scale. Based on the knowledge of the applicant on the use of paleoclimate proxies combined with climate models to retrieve past climate changes and the expertise of the host institution on data assimilation and climate dynamics, Prey4PDV aims at providing the first paleoclimate reanalysis taking into account the exchanges between the atmosphere and ocean in the Pacific using a state-of-the-art Earth System Model over the past 500 years. Using the product together with sensitivity numerical simulations, we will investigate the critical drivers of the multi-decadal variability in the Pacific. During this fellowship, I will transfer my knowledge in using paleo records within an Earth System Model to the host institution, while learning state-of-the-art data assimilation methods, running numerical simulations, and tropical climate dynamics from the host institution. Therefore, this fellowship will place me at the forefront of an emerging scientific topic by applying state-of-the-art paleo data assimilation.

Keywords: climate data assimilation paleoclimate climate dynamics ocean dynamics
Wind turbine blades End of Life through Open HUBs for circular materials in sustainable business models (EoLO-HUBs)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Spain,Netherlands,Italy,France,United Kingdom,Germany,Denmark
Call: Demonstration of innovative materials, supply cycles, recycling technologies to increase the overall circularity of wind energy technology and to reduce the primary use of critical raw materials (HORIZON-CL5-2022-D3-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 12093768.99
EU funding (EUR): 9994682.38
Participants: 19
Project status: SUSPENDED

A sustainable Circular Economy in the wind sector requires to solve the End of Life problematic of the Wind Turbine Blades, prioritizing environmental factors and fairly sharing the efforts to overcome the technologic, economic and social barriers among all the key actors. To this end, EoLO-HUBs will develop 3 open hubs to co-design, co-create and demonstrate new technologies, organizational structures, business models and legal recommendations to implement CE according to the needs of the different European regions. The Knowledge Hub will connect stakeholders to effectively collaborate on similar initiatives, sharing data and spilling over good practices to replicate success stories during and after the project. The other 2 hubs will build a large-scale demonstration covering the full value chain for WTB reusing and recycling from the dismantling to the valorisation in heavy composite sectors through efficient waste recycling solutions, while specific needs of EoL composites in wind technology are representing. The Onshore Hub will include the necessity of implementing a Zero-pollution and mobile system for dismantling onshore technologies without jeopardise the environment and maximising the recovering of paints and coatings as well as enabling the recyclability of chemical building blocks (solvolysis). The Multi-sectorial and Offshore Hub will include the necessity of adapting current high volume composite recycling technologies (pyrolysis) to obtain a high yield of rGF and cGF in a Zero-waste approach collaborating with other sectors as well as to demonstrate how to prepare the gateways for offshore technologies to connect to the new value chain for recycling WTB. In this way, EoLO-HUBs will create a long-term collaboration of key actors with access to relevant demonstration scenarios to ensure the recycling of almost 90% of the WTB materials, creating a circular economy that generates jobs and reduce greenhouse gas emission by 2030.

Keywords: zero pollution,zero waste,mobile dismantling platform,smart inspection and sorting,green chemistry
Industrial polarization imager calibration (IPIC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-07-01
End date: 2026-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

In recent years, there has been a revolution in imaging, with a new generation of polarization-sensitive cameras entering mass markets. As we have found out in our ERC-Synergy project (CloudCT), there is a gap in calibrating such cameras. This leads to degraded imaging data in downstream applications, preventing such cameras from reaching their full potential. We will develop a system for modular calibration of such imagers, that would be fast, easy to use and reliable under harsh working conditions, while generalizing the imaging capabilities of previous camera generations. In our ERC-Synergy CloudCT project, we developed an automated research-grade calibration system for polarization sensitive cameras on a small scale. In the PoC project, we aim to make a system which better suits industrial operation, harnessing our expertise in software development, optomechanics and environmental control. In addition, we will explore the commercialization potential of our calibration system in relevant markets. Our calibration system will significantly enhance quality control using industrial calibrated polarimetric imagers, as used in inspection of displays, circuits, automotive sensors and airborne and spaceborne cameras.
Exploration for Large Interacting Systems of Agents (ELISA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2288712.5
EU funding (EUR): 2288712.5
Participants: 1
Project status: SIGNED

This ERC project addresses mathematical theories and numerical tools for mean-field models, which are used to describe the statistical state of a population. Mathematically, such models are often seen as time-dependent systems whose state variable takes values in a space of probability measures. One of the key features of the ERC project is its focus on mean field models for which the state of the population is itself random. Primarily, we aim to consider dynamics with values in the space of probability measures that are subject to an external noise, which is often called a common noise. Our main hypothesis may be formulated as follows: It is possible to construct a common noise that would force mean-field dynamics to explore the space of probability measures in an efficient manner, very much in the spirit of a Brownian motion in the Euclidean setting. This hypothesis will be studied along the following three axes: 1) Exploration is used for forcing uniqueness and stability of solutions to Fokker-Planck and related McKean-Vlasov equations and also to mean-field models of rational agents like mean-field control problems or mean-field games; 2) Exploration is used for the numerical analysis and the statistical learning of mean-field models featuring some optimisation criteria; 3) Exploration can be subject to a more irregular noise than a Brownian motion in the spirit of rough path theory. Expected applications are in probability theory, partial differential equations, control and game theory, optimisation, mathematical modelling and numerical methods at the interface with machine learning.

Keywords: mean field models mean field control mean field games noise on the space of probability measures measure valued processes wasserstein diffusion gradient descent on the space of probability measures numerical methods machine learning rough paths
Science communication through immersive media arts: an innovative framework for arts-based science communication (SciCommXR)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Spain,France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-03-01
End date: 2027-08-31
Duration (months): 30.0
Total project cost (EUR): 206641.2
EU funding (EUR): 206641.2
Participants: 2
Project status: SIGNED

Science communication (SC) is more important than ever. The recent COVID-19 pandemic demanded public accountability, clear discussion, and the ability to disagree in public. SC may be essentially defined as the social appropriation of science and technology, enhanced by the integration of science with other beliefs. Therefore, if science can inspire art, can art inspire interest and learning about science? In its turn, how can we make use of artistic expression driven by emerging technology such as 360-degree video, virtual reality, augmented reality or mixed reality as to create innovative and effective arts-based science narratives? In spite of the growing proliferation of collaborative artistic exhibitions, performances, and installations that aim to “activate” science (Schwartz, 2014), it is still unclear whether arts-based science communication (ABSC) is distinctively effective in raising awareness or shaping public policy. Most ABSC projects fail to articulate information about project goals and few projects disseminate performance assessments (Lesen et al., 2016). Thus, this research project is focused on obtaining a systematic understanding of the main objectives, challenges and outcomes surrounding ABSC and whether, and in what ways, these projects set and meet goals, as well as what steps can be taken to foster best practices. By developing, conducting, and critically reflecting upon a series of immersive media ABSC experiments involving scientists, immersive media artists, and the general public, the ultimate goal is to obtain an innovative framework with guidelines and best practices for future immersive media and other arts-science collaborative projects, while further conceptualizing the field of arts-science collaborations, and generating substantial impact on society.

Keywords: science communication,digital arts,immersive media
Capturing the natural genetic complexity of a simple neural circuit (EggsVsLarvae)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: SIGNED

The egg-laying circuit of the nematode Caenorhabditis elegans is one of the best-understood model neural circuits. Yet, how genetic changes in the circuit translate into natural behavioral variation within the species remains limited. Characterizing standing genetic variation—an inherent feature of most animal populations and essential for evolution—is a fundamental aspect of understanding any model system. I will study the genetic diversity underlying C. elegans egg-laying behavior by focusing on an ecologically important phenotype: matricidal hatching (MH). MH occurs when egg laying is so limited that larvae are forced to hatch inside the parental body. While usually a plastic response to poor environments, MH is constitutive (CMH) in multiple divergent lineages: this represents a chance to study how different molecular pathways converge on the same phenotype. I will identify the molecular causes of CMH in different natural strains and I will further study how CMH can emerge through novel genetic interactions in hybrid strains derived from crosses between non-CMH parents. Traditionally, genome-wide association (GWA) and linkage mapping in C. elegans are complicated by the species’ strong linkage disequilibrium and the labor-intensive construction of mapping panels, respectively. To overcome this, I will employ state-of-the-art methods and novel resources to identify Quantitative Trait Loci (QTL) and their underlying molecular variants that lead to CMH. This project will allow me to learn the handling of a new model organism, broaden my molecular biology and bioinformatics skills, and grow as a scientist by expanding my experience in genotype-phenotype analysis from single proteins to genome-wide studies of a complex phenotype. As the first study to examine the effects of genetic diversity on the nematode egg-laying circuit, my results will deepen our knowledge of this model circuit and deepen our general understanding of within-species behavioral variation.

Keywords: neural circuits,egg laying behavior,phenotypic convergence,genetic diversity
Flexible Channel Coding for 6G Short Packet Communication (6G Channel Coding)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2025-06-30
Duration (months): 33.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 1
Project status: CLOSED

The emerging sixth-generation (6G) of mobile networks will be a key part of the solution to the constantly increasing problem of urbanization and the digital divide. 6G has aligned its focus to the United Nations sustainable development goals (SDGs) and aims by 2030 to achieve the following targets: a) empower people by providing services and solutions to individuals and society; b) sense the environment by performing extensive hyper-local measurements and c) strengthen the world by reinforcing the ecosystem according to the SDGs. Key 6G use cases such as wireless factory automation and autonomous driving will require ultra-high reliability and ultra-low latency, high-resolution localization, and high-accuracy inter-device synchronicity. These requirements are well beyond the capabilities of existing mobile standards, including the fifth-generation (5G) mobile. Short packet communications play a key role in meeting the low latency requirements of many 6G applications. Despite recent progress, the design of effective channel coding and decoding techniques for short packet communications is still far from sufficiency. 6G communication systems require flexibility in the blocklength and coding rates. Short and moderate blocklength codes (approx. from 100 bits to a few thousand bits) with close-to-optimal performance are required for 6G. A promising solution is rateless codes carefully optimized for short blocklength and able to provide flexibility in code rates, blocklength, and decoding complexity. The main objective of this project is to develop new rateless coding schemes and decoding algorithms, to address the flexibility and bit-granularity for finite blocklength channel codes, and to design low-complexity decoding algorithms to address the latency issue in 6G short packet communications. It is expected that our results can largely improve the performance of 6G networks in terms of latency, reliability, flexibility and complexity.

Keywords: channel coding,6g communications,information theory,rateless codes,iterative decoding