Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Tunisian Well-Being through Inclusive SciencE (TWISE Night)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: European Researchers' Night
Action type: Coordination and support actions
Countries involved: Tunisia
Call: European Researchers' Night and Researchers at Schools 2024-2025 (HORIZON-MSCA-2023-CITIZENS-01, 2023)
Start date: 2024-04-01
End date: 2025-10-31
Duration (months): 19.0
Total project cost (EUR): 341750.0
EU funding (EUR): 341750.0
Participants: 10
Project status: SIGNED

Following the GREEN NIGHT project in 2020 and LiLa JemILA, which gained associate event status in the 2018 European Researchers' Night, TWISE Night is Tunisia's third initiative. The idea for TWISE (Tunisian Well-Being through Inclusive SciencE) Night was put forth by an assortment of scientific researchers and scientific communication specialists from the research and innovation community, as well as key players in R&I and organizations. The primary objective of the project is toFollowing the GREEN NIGHT project in 2020 and LiLa JemILA, which gained associate event status in the 2018 European Researchers' Night, TWISE Night is Tunisia's third initiative. The idea for TWISE (Tunisian Well-Being through Inclusive SciencE) Night was put forth by an assortment of scientific researchers and scientific communication specialists from the research and innovation community, as well as key players in R&I and organizations. The primary objective of the project is to promote public awareness of research and innovation initiatives that contribute not only to environmental sustainability but also to the enhancement of societal well-being and the fostering of inclusivity. The ARSII association, a key participant in the initial two ERN editions with the Ministry of Higher Education and Scientific Research, collaborates closely with the REACT association and four prominent Tunisian universities—namely, the University of Sfax, the University of Carthage, the University of Sousse, and the University of Monastir. They share a profound understanding that researchers play an essential role in the community, and their work is not only engaging and stimulating but also rewarding and worth pursuing. In order to accomplish these goals, TWISE Night 2024 will take place in Sousse, which is known as the "pearl of the Tunisian Sahel followed by TWISE Night 2025 in Tunis. Pre-events and "Researchers at Schools'' will also be hosted in Sousse, Monastir, and Mahdia, as well as in Sfax and Tunis.

Keywords: researchers,science,innovation,education,careers,young general public,awareness,schools activities,inclusive science
CoreSense: A Hybrid Cognitive Architecture for Deep Understanding (CoreSense)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Netherlands,Germany,Ireland,Czechia
Call: Pushing the limit of robotics cognition (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 5409839.38
EU funding (EUR): 5409839.38
Participants: 7
Project status: SIGNED

Cognitive robots are augmenting their autonomy, enabling them to deployments in increasingly open-ended environments. This offers enormous possibilities for improvements in human economy and wellbeing. However, it also poses strong risks that are difficult to assess and control by humans. The trend towards increased autonomy conveys augmented problems concerning reliability, resilience, and trust for autonomous robots in open worlds. The essence of the problem can be traced to robots suffering from a lack of understanding of what is going on and a lack of awareness of their role in it. This is a problem that artificial intelligence approaches based on machine learning are not addressing well. Autonomous robots do not fully understand their open environments, their complex missions, their intricate realizations, and the unexpected events that affect their performance. An improvement in the capability to understand of autonomous robots is needed. This project tries to provide a solution to this need in the form of 1) a theory of understanding, 2) a theory of awareness, 3) reusable software assets to apply these theories in real robots, and 4) three demonstrations of its capability to a) augment resilience of drone teams, b) augment flexibility of manufacturing robots, and c) augment human alignment of social robots. In summary, we will develop a cognitive architecture for autonomous robots based on a formal concept of understanding, supporting value-oriented situation understanding and self-awareness to improve robot flexibility, resilience and explainability.

Keywords: artificial intelligence,cognitive architecture,understanding,awareness,autonomy,adaptation
High-precision computations on fine lattices (HiCoLat)

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: Physics
Countries involved: Switzerland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 210789.12
EU funding (EUR): 210789.12
Participants: 1
Project status: SIGNED

Lattice Quantum Chromodynamics (LQCD) is the only known ab-initio approach to compute observables in the non-perturbative regime of the strong interactions of particles and fields. The theory of strong interactions is solved numerically in finite volumes on an Euclidean space-time grid. The framework of LQCD has systematically improvable statistic and systematic uncertainties. It provides highly relevant theoretical input for high-energy and nuclear physics. The precision of LQCD computations has significantly improved in the last years thanks to algorithmic advancements. This project aims to further improve the precision of phenomenologically important observables. The improvement will be achieved by the development and application of noise reduction techniques to reduce statistical uncertainties at computationally challenging, very fine resolutions of LQCD simulations. The focus of this project will be on the improved determination of the hadronic vacuum polarization contribution to the anomalous magnetic moment of the muon. Precise theoretical predictions of this observable are of utmost importance in the search for physics beyond the Standard Model of particles as the uncertainties of the experimental results will significantly decrease in the upcoming years. The computation of the hadronic vacuum polarization in the framework of LQCD suffers from an exponentially enhanced increase of the noise-to-signal ratio in the low energy region. Furthermore, the precision of state-of-the-art determinations is bounded by systematic uncertainties due to the presence of the finite grid. Both uncertainties will be addressed and reduced in this work. Furthermore, the approach will be tested in the computation of B-physics observables that are needed to investigate currently observed anomalies in the heavy quark flavor sector of the Standard Model.

Keywords: lattice qcd,muon,supercomputers,lepton,bottom quark,quantum field theory,scientific computing
Revolutionising peptide-based drug discovery with high-throughput mimotope mapping (PepVerse)

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: United Kingdom
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-06-01
End date: 2026-11-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Peptide-based drugs offer distinct advantages over existing molecular therapeutics, such as their ability to engage targets that have proven challenging for small molecules, and their capability to penetrate cells and modulate intracellular targets, which conventional biologics cannot achieve. However, despite this potential, the development of peptide-based medicines has lagged due to the lack of high-quality, large-scale protein-peptide interaction datasets essential for rational AI-driven peptide design. During the ERC Consolidator Grant DiProPhys, we developed a platform that can profile protein/peptide interactions at scale. As part of the PepVerse project, we will leverage this platform to generate proof-of-concept data for commercial exploitation. Specifically, we will generate binding data for three high-value therapeutic targets that currently lack orally available drugs due to difficulties in identifying non-peptidomimetic small molecule binders. These data will not only validate the platform’s ability to discover binders but will also provide specific starting points for high-value drug discovery programmes. Moreover, the data will showcase the platform’s potential to create the world’s largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme --- a goal we aim to achieve with the help of private capital. In addition to generating these validation data, which are key for fundraising and translating the technology to a commercial entity, our other critical objectives for the project include establishing solid IP protection for the technology and building relationships with key stakeholders, such as advanced library providers and pharma partners. By the end of the project, we aim to have generated robust validation data, filed an intellectual property application, and raised funds to launch a peptide-based drug discovery company
Spatial profiling of gastric cancer with peritoneal carcinomatosis to tackle cancer spreading and improve precision immuno-oncology (SPARC)

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: Sweden,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-05-01
End date: 2028-04-30
Duration (months): 24.0
Total project cost (EUR): 236340.0
EU funding (EUR): 236340.0
Participants: 2
Project status: SIGNED

The SPARC project tackles the urgent challenge of poorly cohesive gastric cancer (PCGC) with peritoneal carcinomatosis — an aggressive malignancy associated with a 5-year survival rate <30%. Despite advancements in GC treatment, effective therapies for PCGC with peritoneal spread remain inadequate, largely due to the tumor’s resistance to chemotherapy and the complex tumor microenvironment. This microenvironment is involved in hijacking cancer immune surveillance and supporting tumour outgrowth and invasion. However, the detailed molecular and spatial dynamics promoting PCGC dissemination are not yet fully understood. The project aims to fill this gap and elucidate the molecular and cellular mechanisms driving this aggressive behavior by employing advanced spatial immunofluorescence (IF) imaging and spatial transcriptomics to map the tumor and immune microenvironment of PCGC with synchronous peritoneal metastases, leveraging a rare biobank of treatment-naïve PCGC samples. This will enable to better understand the complex cellular interactions that drive tumor growth, immune evasion, and metastasis, as well as identify and validate - at both protein and gene expression levels - novel biomarkers specifically associated with peritoneal metastasis, serving as potential therapeutic and prognostic targets for this challenging cancer subtype. The project leverages an interdisciplinary collaboration between leading research institutions – Karolinska Institutet (Sweden, host institution), Yale University (USA, secondment institution), University Hospital of Verona (Italy, collaboration partner) – and is supported by renowned experts in immuno-oncology and GC that will provide multidisciplinary training to the researcher, enhancing their career prospects while addressing a significant unmet medical need.

Keywords: gastric cancer,cancer immunology,biomarker discovery,spatial immunofluorescence imaging,spatial transcriptomics
Symbolism and Iconography of Ancient Egypt and Sub-Saharan Africa (ESSA)

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
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-01
End date: 2026-12-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

The ESSA project will challenge the Egyptological scholarly narrative that has for centuries contextualised ancient Egypt in relation to the Mediterranean and the Near East and simultaneously overlooked its position on the African continent, minimising its relations with sub-Saharan cultures. This transformative objective will be achieved with the creation of a catalogue of motifs, symbols, and cultural traits shared by several ancient cultures. By presenting the key elements of cultural exchange, the project aims to disrupt traditional perspectives of Egyptology. The ESSA will adopt a diachronic approach and systematically examine different phases of the relations, which will allow for a nuanced evaluation of changes and/or continuity of cultural values over time. Moreover, it will delve into how these cultural shifts relate to the prevailing political dynamics of each period. The overarching goal of the ESSA project is to recontextualise ancient Egyptian civilisation, not only in relation to other African cultures but will instead, reposition it as an integral part of the African continent.

Keywords: ancient egypt,nubia,african archaeology,cultural exchange
Flexible and transparent platform based on oxide transistors for detection and readout of ionizing radiation (FLETRAD)

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: Portugal
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2022-10-01
End date: 2024-06-30
Duration (months): 21.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Ionizing radiation presents a known health risk, but if used controllably it can be the basis of relevant applications spanning from healthcare to civil security. Either for proper control of the dose received by patients in medical treatments or workers in radiation hazardous environments, or for high resolution imagers, proper quantification of the radiation doses is demanded. The x-ray detectors market represented 2.5 Bn$ in 2020, and flexible/wearable X-ray detectors are seen as breakthrough innovations for next-gen devices. But to date, there is not a detection technology offering a combination of conformability, portability, large active area, small interference with the radiation received, potential for high resolution and low cost/complexity. By using the patented idea of oxide transistors as direct ionization radiation detectors coupled to the knowledge derived from ERC Starting Grant TREND in miniaturized oxide electronics using sustainable materials and processes, FLETRAD proposes a platform tackling all those requirements and going beyond them. It creates the breakthrough market opportunity of having a fully flexible and transparent radiation sensing platform, using seamlessly integrated oxide transistors both for sensors and electronics. The action intends to identify the most significant market opportunities/applications for the innovative platform, fabricate/validate a prototype attractive to stakeholders, develop an IP strategy and a business plan, including the detailed analysis of the identified business opportunities. The work will be done at CENIMAT|I3N (NOVA), in a group pioneering oxide electronics, with full support of the Innovation Research and Impact Strategy (IRIS) office at NOVA. FLETRAD has the support of key-players in ionizing radiation/flexible electronics, contributing to take our ideas into impactful market and societal needs.
Reinforcement Learning for Quantum Statistical Physics (RL4QStat)

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: Physics
Countries involved: Belgium,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 250284.72
EU funding (EUR): 250284.72
Participants: 2
Project status: SIGNED

During the last two decades, Machine Learning (ML) and Artificial Intelligence (AI) tools have created a true paradigm shift and impacted numerous fields and industries. In quantum physics, ML is rapidly gaining popularity and is already being extensively used for variational quantum state representation. Recently, a more ambitious and new research direction is developing where Reinforcement Learning agents could be used to solve quantum statistical problems while improving during the task. This field is still in its infancy and is highly promising to yield efficient and scalable computational tools for physics that would be situated between semi-analytical approximations and brute-force Monte Carlo calculations. In this proposal such tools will be developed for applications in modern quantum many-body physics at finite temperatures. In particular, the goal is to train smart AI agents to sample path integrals that occur in various quantum statistical problems. Important research questions include exploring domain generalization where learned knowledge by the agent can be transferred between tasks. The developed methodology will be applied to challenging systems in condensed matter physics such as many-fermion systems and polaronic systems with memory. Besides providing powerful computational tools, this research on the thrilling synthesis of Reinforcement Learning and quantum statistics will yield new insights and perspectives at the forefront of the current AI explosion in physics.

Keywords: reinforcement learning,path integrals,optimal control,importance sampling,statistical physics,fermions,polarons,quantum physics
Tailoring eXtended Reality to Industry's needs (XR2Industry)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Innovation actions
Countries involved: Belgium,Spain,France,Poland
Call: eXtended Reality for Industry 5.0 (IA) (HORIZON-CL4-2023-HUMAN-01-CNECT, 2023)
Start date: 2023-12-01
End date: 2026-11-30
Duration (months): 36.0
Total project cost (EUR): 9176550.0
EU funding (EUR): 7995462.5
Participants: 9
Project status: SIGNED

Why is Gutenberg considered as the inventor of printing? Because he popularised a process, tailored at contemporary needs, taking advantage of a technical background and enabling a dramatic empowerment of knowledge sharing. XR2Tndustry will be the Gutenberg of XR. Tts priorities are: data privacy, empowerment, industrial relevance, openness. To this extent LNX, hardware platform carrier, gathered key partners alongside with UPV, project coordinator to address these issues towards an open platform: i) a research group (UPV) specialised in technological solution's acceptance, impact on workers delivering key insights in building the right platform, ii) a group of lawyers (LML) delivering key insights in ensuring GDPR compliance and related best practices, along with iii) companies excelling in developing compliant and relevant content, while mastering the technology (ALT, SSQ), iv) an expert partner in large scale delivery of VR/XR solutions (TKP) ensuring no hurdle impairs a full industrial empowerment, while industrial expectations and needs are brought by v) end users (FLX as partners and further through XR2Tndustry's Advisory board). Tn addition, FBA and FBC will provide a critical support in operating cascade fundings. These laters will empower stakeholders in technology structuration on XR platform, bring complementary insights on standardisation, and empower industrial users on the human-centric framework. Bringing XR to industry will be possible only when the full value chain is considered (knowledge holders, technology providers and integrators, distributors, end-users) as in XR2Tndustry. Moreover openness is key to enable empowerment, while not precluding partners' and third-parties' exploitation. XR2Tndustry will gather 9 partners, support 12 third parties, and through advisory board and clustering activities, will leverage impact all over Europe. The foreseen direct turnover is estimated at several hundreds M€, with even larger indirect impacts on end-users.

Keywords: xr gdpr ux open privacy platform empowerment
Centre of Excellence in Ocean Research and Engineering (INESCTEC.OCEAN)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Environment and Geosciences
Countries involved: Portugal,Norway
Call: Teaming for Excellence (HORIZON-WIDERA-2023-ACCESS-01, 2023)
Start date: 2025-01-01
End date: 2030-12-31
Duration (months): 72.0
Total project cost (EUR): 14998847.5
EU funding (EUR): 14998847.0
Participants: 4
Project status: SIGNED

The INESCTEC.OCEAN proposal will create a Centre of Excellence in Portugal's Ocean Research and Engineering fields, synergistically addressing Marine Structures, Marine Robotics, Ocean Energy and Ocean AI Digitalization domains. It is envisioned as an unprecedented space of science, technology, and entrepreneurship for this region and an institution of global reference in ocean engineering in the medium term, reinforced with SINTEF OCEAN as the strategic advance partner. OCEAN.PLUS will be a lighthouse and a role model in this field, improving Portuguese R&I culture. The CoE will gather science, technology research, innovation and education/training to address the specific market needs, boosting the Blue Economy and fostering innovation and technology transfer to reinforce networking among academia, ocean R&D+I communities and Industries promoting the engagement of stakeholders in the field of sea technology as a global partnership. The anchor of the CoE will boost the attraction of human resources to the development of a sustainable regional ecosystem that allows for a large and diverse range of professional paths, ranging from the first education steps to a stage of maturity in a dynamic but stable professional career with a worldwide scope. INESCTEC.OCEAN will support early career and experienced talents through professional development and training on intersectoral mobility in the quadruple helix of the Sea ecosystem (academia & research, business, civil society and policymakers). Therefore, the creation of the CoE understood as a flagship for Portugal, is considered the logical next step in a consistent path of coordination in developing heterogeneous and complementary long-term national and international cooperative actions in OR&E.

Keywords: ocean research and engineering sustainable exploration of ocean blue economy boosting centre of excellence