Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ATtracting and connecting innovation ecosystem actors for international co-investments in advanced TRACTION of deep-tech companies from Wielkopolska, Lithuania and Andalusia. (atTRACTION)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Poland,Germany,France,Spain,Lithuania,Ukraine
Call: Expanding Investments Ecosystems (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-09-01
End date: 2026-02-28
Duration (months): 30.0
Total project cost (EUR): 1455705.36
EU funding (EUR): 1149343.75
Participants: 8
Project status: SIGNED

Assumptions: - There are many incubation and acceleration programmes in ‘modest’ and ‘moderate’ innovation ecosystems, however there is much fewer investors operating there as well the volume of capital available and actors of innovation ecosystems are not well connected - The potential investors (capital and industry) need relationships of trust with locally-based co-investors of smaller scale that would help them with the local deal flow as well as regulation guidance - The start-up ecosystems all over the world are oriented toward speed exits, which does not favour deep-tech start-ups, that need more time for development - Even the vibrant start-up hubs in Europe have problems in creation of deep-tech deal flow Objectives of atTRACTION: 1. To connect the ecosystems in Wielkopolska, Lithuania and Andalusia to strong innovation networks of Germany and France and: - stimulate cross-fertilisation effects through best practice sharing and learning by cooperation - syndicate a curated pipeline and portfolio of companies at different funding stages to create joint, syndicated, thematically focused deal flows that attract international investors - boost existing support programmes of business acceleration providers 2. To create investment opportunities for society-relevant deep-tech solutions: twin transition and health-tech, IOT& AI for social challenges Project idea: - Attraction and connection of existing acceleration initiatives and investment networks from the participating areas - Development of durable international relationships through concrete actions, i.e. pilot acceleration programs oriented on society needs solutions stemming from R&D - Joint activities increasing the level of trust among investors and founders from less connected ecosystems - Create syndicated, international deal flows in selected category of technologies - Boost co-investments in less connected regions - Support start-ups diversity backgrounds founders (women, migrants founders)

Keywords: international co investments,connectivity,deep tech companies
Pregnancy Dating Challenges: Technologies and Unequal Geographies of Abortion and Childbirth Care (PregDaT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1497984.0
EU funding (EUR): 1497984.0
Participants: 1
Project status: SIGNED

Pregnancy dating, or the assessment of the duration of the gestation, is considered the most important step in the management of any pregnancy for obstetric and neonatal care. It is on the estimated starting date of the pregnancy that the whole chain of care (e.g. prenatal screening, childbirth plans) is established and access to a variety of critical pregnancy, childbirth and abortion options are regulated. Although considered a standard procedure, pregnancy dating varies greatly in accuracy and methods, and across services and countries, and depends on technologies, resources and skills of those involved. In this process, pregnant people’s embodied knowledge is often disregarded as unreliable. Despite bearing major and life-changing consequences, pregnancy dating remains largely unquestioned in the social sciences and in medical and public health literature. This has profound effects on how pregnancy has been theorised and empirically studied as well as on legal provisions and clinical practices. Through PregDaT, I will transform existing paradigms of understanding and studying pregnancy and reproduction by unpacking the black box of pregnancy dating, exposing its socio-technical and political components of pregnancy time, and exploring whether and how these generate unequal access to abortion and childbirth care for different groups in different locations. I will lead a multidisciplinary team employing qualitative methods from STS, anthropology, feminist legal studies, public health studies and visual design to investigate the process of pregnancy dating in 4 European countries, both in metropolitan areas and in peripheral locations. PregDaT will reshape scholarly understanding of pregnancy and pregnant subjectivities and temporalities, while intervening in the policies, practices and regulations of pregnancy and abortion care.

Keywords: reproductive health,reproductive justice,medical anthropology,socio cultural anthropology,feminist technoscience,temporalities
Statistical Analysis of Generative Models (SAGMOS)

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-2024-ADG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 1535000.0
EU funding (EUR): 1535000.0
Participants: 1
Project status: SIGNED

Generative modeling, the automatic generation of examples such as texts, images, music, and molecules that are similar to those in a given dataset, is a central task in artificial intelligence. Mathematically, this task is framed as the problem of sampling from an unknown distribution, which is accessible only through a limited set of examples drawn from it. The size and quality of this set can vary greatly depending on the application. The algorithms that have propelled generative modeling to fame are known for their substantial data and computational resource requirements, often necessitating vast amounts of both to achieve state-of-the-art performance. The goal of this project is to investigate the mathematical properties of generative modeling algorithms to better understand their strengths and weaknesses, enhance their efficiency, and design new methods. The mathematical challenge in generative modeling lies in successfully integrating techniques from various areas of mathematical statistics and probability theory: dimension reduction, nonparametric estimation, manifold learning, sampling, optimal transport, stochastic calculus, etc. Investigating the mathematical properties of this pipeline requires a deep analysis of these methods and their interactions to solve the overarching problem. Such analysis is key to exploring multiple facets of generative modeling algorithms, including precision, robustness, creativity, and computational traceability. Our focus will be on obtaining interpretable statistical guarantees that highlight the impact of sample size, intrinsic and ambient dimensions, noise level, and contamination rate on precision, creativity, and running time. These guarantees are essential in AI to ensure the reliability of the resulting algorithms and enhance their trustworthiness, explainability, and frugality. We will pay special attention to stability and robustness properties, particularly against model misspecification, noise, and outliers.

Keywords: diffusion processes,nonparametric estimation,sampling,dimension reduction,theoretical guarantees
ENDPD- SLOWING DOWN PARKINSON’S DISEASE PATHOLOGICAL PROGRESSION. (EndPD)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Portugal
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-06-30
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Patients and society expect that technical and scientific advances can provide novel improved answers to address unmet medical needs. Parkinson's disease (PD) is the 2nd most prevalent neurodegenerative disorder in the world, with profound economic and social impacts. The absence of preventive therapies to tackle PD, requires the development of new therapeutic strategies. For Pharma companies, aiming to develop molecules for Parkinson Disease (PD) and other neurologic disorders, Fastprinciple is developing a new drug candidate, to be used as a future therapy to slow-down PD progression. Unlike alternative solutions (such as the ones commercialized by Bial, Acadia Pharmaceuticals, Abbvie, Lilly, and others), which target the symptoms, we expect to slow down the disease progression, increasing current therapies’ effectiveness overtime. PD affects more than 10 million people globally and has an enormous social and economic burden. Current treatments manage the symptoms of the disease but do not offer the patients the possibility of a cure. Unfortunately, as the disease progress to higher debilitating stage, the patient stops responding to the current symptomatic therapies, ending without therapeutic options. We have identified a molecule that with the company’s patented reformulation technology will improve the drug efficacy and slowdown the disease progression of the disease. The current proposal aims to establish FastPrinciple’s Strategic monetization plan, by securing IP strategy and to ameliorate our business and exploitation plan.

Keywords: neuroscience chemistry chemical engineering psychology pharmacokinetic pharmacodynamic modelling,animal pathophysiology medical device parkinson s disease ionic liquids
Artificial Intelligence for the European Open Science Cloud (AI4EOSC)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Research and Innovation actions
Partnership: EOSC (co-programmed)
Countries involved: Spain,Germany,Slovakia,Portugal,Italy,Poland
Call: Innovative and customizable services for EOSC (HORIZON-INFRA-2021-EOSC-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 4997125.0
EU funding (EUR): 4997125.0
Participants: 10
Project status: SIGNED

The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) delivers an enhanced set of advanced services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services or provisioning of AI/ML/DL services based on serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform and services in order to provide this specialized compute platform. Moreover, AI4EOSC offers customization components in order to provide tailor made deployments of the platform, adapting to the evolving user needs. The main outcomes of the AI4EOSC project will be a measurable increase of the number of advanced, high level, customizable services available through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results; paired with concrete contributions to the EOSC exploitation perspective, creating a new channel to support the build-up of the EOSC Artificial Intelligence and Machine Learning community of practice.

Keywords: compute platform,artificial intelligence,cloud computing
The molecular and developmental bases of iridescent feathers (MoDeIF)

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: Belgium,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-04-10
End date: 2027-04-09
Duration (months): 36.0
Total project cost (EUR): 266684.16
EU funding (EUR): 266684.16
Participants: 2
Project status: SIGNED

Iridescent structural colors produce some of the most vibrant colors in nature, particularly in birds – such as throats of many hummingbirds. These colors are produced by interactions between light and organic structures, such that optical effects from the nanoscale arrangement of melanin-containing organelles called melanosomes within bird feather barbules produces color variation. Uniquely to birds, these melanosomes can take four distinct forms: (i) rods (rod-shaped and solid); (ii) hollow rods (rod-shaped and hollow); (iii) platelets (flat and solid); and (iv) hollow platelets (flat and hollow). While their importance for production of colour variation is well explored, how these unusual melanosomes form during feather development in nearly unknown. In the MOlecular and DEvelopmental bases of Iridescent Feathers project (MoDeIF project) I propose a developmental genetics approach to identify developmental and molecular pathways by which melanosomes achieve hollowness and flatness. To explore hollowness, I will test two hypotheses: the phaeomelanin-core hypothesis and the air-filled-core hypothesis. To explore flatness, I will test the hypothesis that the pre-melanosome structural organizational gene Pmel enables the development of flat melanosomes by providing scaffolding for pigment deposition. Comparative transcriptomics and concurrent elucidation of the physical processes via electron microscopy will greatly improve our understanding of the mechanisms of development of these unusual melanosomes. Finally, I will focus on whether melanosome shape and nanostructuring are developmentally constrained for other colors once a species evolves iridescent coloration. Understanding the molecular basis of iridescent feather development is vital for comprehending its evolution. Furthermore, insights into melanosomes' optical packing could inspire innovative synthetic color production techniques.

Keywords: developmental biology iridescent colours evolution of plumage colouration morphology and functional imaging of cells organelle biology transcriptomics
Fluency as faithfulness: A cognitive approach to an interpreting mega-corpus (FAITH)

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,Belgium
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 2
Project status: TERMINATED

Professional interpreters provide the highest quality and most instantaneous type of multilingual communication. Across interpreting in spoken and signed languages, users evoke the notion of ‘fluency-as-fidelity’ when they engage with and evaluate interpreters. This notion is also applied to language learners and politicians. This implies that fluency taps into a universal cognitive-evaluative mechanism that provides information about the speaker in communicative contexts. Recent research on fluency has explored small corpora of interpreting and shown the value of the usage-based theory in connecting the social and cognitive underpinnings of fluency. However, prior studies fail to represent the multimodal context of interpreting and remain removed from end users. The intersectional embedding of this notion and the process of explicating meanings in creating fluency often go unnoticed. The project ‘Fluency As faITHfulness: A cognitive approach to an interpreting mega-corpus’ (FAITH) investigates the role of fluency in the production and perception of faithfulness. The objective will be to explain how interpreters create (un)faithfulness using cognitive abilities such as chunking and construal. It will do so by unifying existing interpreting corpora, comparing the production and perception of fluency in political interpreting, and empirically demonstrating the cognitive basis of explicitations in interpreting. FAITH will contribute the first multimodal, intermodal and open-access interpreting corpus and implement for the first time multimodality and intersectionality in corpus-based interpreting studies. It will provide answers to long-standing questions concerning the nature of the faithfulness norm, the explicitation ‘universal’ and language forms in interpreting. Cumulatively, FAITH will further the EU priority of “Promoting European interests and values on the global stage” by enabling intercultural understanding between policymakers and diverse groups.

Keywords: interpreting studies,corpus linguistics,cognitive linguistics,sociophonetics
Antiferromagnetic Spin Transport With Relativistic Waves (ASTRAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

While photonics has already enabled nearly lossless Tb/s transfer of data using light waves, computing at THz clock rates is the next monumental challenge. Magnonics, which employs spin waves (SWs) instead of light waves, is widely seen as one of the most appealing solutions to this problem, but so far only operates at GHz rate. Interference of SWs enables nearly lossless protocols for logic operations. The large natural nonlinearity of SWs can be used to control their mutual interaction, propagation and manipulation of magnetic bits - altogether facilitating the concepts of transistor and logic-in-memory devices. Since the wavelength of THz SWs is orders of magnitude shorter than that of THz photons, THz SWs offer enviable scalability down to the nanoscale. How to push magnonics into the THz domain and enter the nonlinear regime? How large are the THz nonlinearities? Answering these questions will open up new avenues to scalable technologies for THz and nearly lossless computing. With ASTRAL I want to enter the nonlinear regime of THz magnonics by generating ultrashort large amplitude SW pulses that, similar to femtosecond laser pulses in optics, can zip undisturbed over long distances unlocking the nonlinear regime of interaction between the pulses, other SWs and even macroscopic spin textures. I propose to focus on antiferromagnets, where SW frequencies can easily reach the THz landmark and, similar to light waves in vacuum, follow a linear, so-called relativistic, dispersion relation. Owing to this, a broadband wavepacket of coherent SWs can be compressed to an ultrashort SW pulse - a bunch of few-cycle large-amplitude spin oscillations. To achieve this, ASTRAL will exploit the exclusive ability of light to initiate ultrafast spin dynamics and will attempt to interconvert femtosecond laser pulses into large-amplitude ultrashort SW pulses. Although the idea is fundamental in nature, the ambition is to set the ground for revolutionary new computing technologies.

Keywords: spin wave,terahertz,antiferromagnets,ultrafast,nonlinear,control
Full spectrum enhanced photovoltaic thermal energy storage system (PHOTO)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

This MSCA PF will bring the emerging early career researcher, currently a postdoctoral researcher at City University of Hong Kong, Hong Kong, to study the highly efficient direct solar thermal energy storage system. The outcome of the project will contribute to advanced thermal storage and management based on a novel direct solar energy storage system and thus more efficient thermal performance, enabling distributed urban energy supply system. The researcher will integrate the measuring tests to study the complicated phase change, ambient water vapour absorption and release, flow phenomena, while a novel thermal energy storage device will be designed and new numerical models of this direct solar thermal energy storage will be developed. The polynomial method will be used to build accurate heat transfer prediction models. The project has been carefully designed to match the researcher's expertise in thermal energy storage background, heat transfer and prediction modelling, the expertise of the host institute, UNEXE in phase change dynamics and thermal experimental skills. The objective of the project is to obtain the scientific basis needed for the design of enhanced direct solar thermal energy storage system using the diverse phase change materials as working fluids, absorb compand as passive thermal enhance module, structural optimisation, and for the development of advance direct solar thermal storage systems for urban distributed thermal energy supply system. In addition to the scientific goals, the researcher will contribute his expertise on polynomial method modelling for heat transfer prediction and will provide important training to EU researchers, industrial contacts and undergraduates. By involving research topics from different fields and collaborations with academic partners, this is a truly interdisciplinary project. The research activities and training in the project will develop the researcher's expertise in direct solar thermal energy storage.

Keywords: energy storage,solar energy,solar thermal energy storage,heat storage enhancement,nanofluids,computational fluid dynamics,phase change materials,pcm