Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Quantum-Native Communication Networks: from Quantum Message to Quantum Functioning (QNattyNet)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 1999531.0
EU funding (EUR): 1999531.0
Participants: 1
Project status: SIGNED

The Quantum Internet (QI) – a global network interconnecting remote quantum devices – is envisioned as the final stage of the quantum revolution, unlocking unprecedent communication functionalities. However, the key engineering challenge yet to be solved is the design of a protocol suite for the QI that can fully leverage the marvels of quantum mechanics. Current state-of-the-art proposals for the QI protocol suite adopt a layering model, mimicking TCP/IP standard-de-facto protocol stack of classical Internet. But this design choice limits the embrace of quantum features to the message delivered by the network, by leaving fundamental network functionalities to operate classically. Conversely, here, I PROPOSE a different and novel design, aiming at embracing the quantum marvels, not only in the message but also in key network functionalities, enabling so a quantum-native functioning for the QI. The VISION is that this design will unlock ground-breaking communication opportunities, as new forms of network resilience. QNattyNet overall GOAL is to design a protocol suite capturing the complexity of the quantum functioning by implementing a major paradigm-shift: from hierarchical protocol relationships to dynamic relationships. This goal will be pursued through 3 scientific objectives: - To design innovative protocols and functionalities for the QI by exploiting the quantum functioning. - To design a protocol suite for the QI able to capture the complexity of the quantum functioning. - To develop the QNattyNet simulator for supporting both the research community and the industry in the design and evaluation of quantum networks. This project is expected to have a deep impact towards deployment of the QI outside the laboratories into real world, by providing (through the designed protocol suite) a hardware-agnostic high-level abstraction of the network functionalities, which is pivotal for the successful development of standards and certifications for the QI.

Keywords: quantum internet,quantum networks,protocol stack,quantum communications
RESPOND- Rescuing Democracy from Political Corruption in Digital Societies (RESPOND)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Democracy and Governance
Action type: Research and Innovation actions
Countries involved: Italy,Sweden,Austria,Netherlands,Portugal,France,Ukraine,Belgium,Hungary,United Kingdom,Bulgaria,Germany
Call: New approaches for combatting corruption and other undue influences on political decision-making (HORIZON-CL2-2023-DEMOCRACY-01, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 5531961.25
EU funding (EUR): 5531961.25
Participants: 18
Project status: SIGNED

Corruption and undue influences are not only linked to democratic discontent but compromise the quality of democracy. But how exactly does political corruption operate today? How deep can its negative impact on democracy go? And how can anti-corruption efforts recover people’s support for democracy as a regime and promote their engagement with integrity and their refusal of undemocratic proposals and actions? To address these crucial challenges for democracy, RESPOND proposes a novel interdisciplinary assessment of political corruption, seen here as conducts and acts, often proliferating in grey zones regarding legality, that results in decision-making bias and exclusion in the policy cycle. It does so by: 1) analyzing four contemporary and relevant forms of political influence (political finance, lobbying, revolving doors/personal ties and media capture) to understand when they become troubling forms of influences connected to specific political corruption patterns; hence, undermining fair competition and broad participation in political decision-making processes; 2) evaluating how political corruption is understood by political elites and citizens and is socially constructed through media and education, as well as its impacts on both democracy’s legitimacy and credibility and on responses to counter them; 3) exploring how established and emerging digital technologies entangle with political corruption and how they improve anti-corruption and pro-integrity strategies at both national and cross-border levels; 4) engaging in co-creation with relevant stakeholders to design, test, and revise practices and tools, including new risk indicators developed by RESPOND, to increase civic monitoring and integrity in current democracies. Through a mixed-method research design, RESPOND investigates 27 EU countries and 11 neighbouring countries to signal ways to make governments, public officials, and political parties perform better ethically and recover democracy’s popularity.

Keywords: cross border corruption decision making democratic backsliding digital media ai applications politics policy cycle undue influences anti corruption civil society journalism
MAtching Genes with MOLecules for FUNctional Analysis (MAGic-MOLFUN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Denmark,Netherlands,Germany,Italy,United Kingdom,Spain,United States
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 2969978.4
EU funding (EUR): 2747131.2
Participants: 12
Project status: SIGNED

The MAGIC-MOLFUN doctorial network (DN) will train the next generation of specialists for transforming natural products research. They will be educated in a combination of wet-lab and computational skills to integrate genome mining and metabolomics with cutting-edge pathway discovery- and engineering approaches. There is a fast-growing demand for these combination of skills, but these are rarely taught in current integrated training programs. These multidisciplinary skills and qualifications will be acquired while achieving the scientific goals of the program, namely understanding and developing the complex biosynthesis and production of microbial NPs for cross-sector applications such as medicine, food, agriculture, or biotechnology. Specifically, the Doctoral Candidates (DCs) will work in three areas: (i) develop novel computational tools and algorithms to improve the identification and prediction quality of biosynthetic gene clusters encoding NP biosynthesis in genomic data. This genome-centred approach is complemented by (ii) the use cheminformatics approaches to link metabolomics data of NPs with the genomic data of the producers, which will greatly improve the compound discovery and dereplication process. These two data-centric approaches will finally (iii) converge into experimental applications that discover and characterize novel NPs with promising bioactivities (e.g., antibiotics, pre-/probiotics, agrichemicals, bio-pigments). The scientific training program is complemented by a comprehensive transferable skill training that will equip the DCs for todays’ demands of a successful career in industry and academia. The skills obtained in the DN will enable the DCs to work not only in natural product research but also many other data-intensive areas of biotechnology.
INhibiting mechanoTRansduction as a novel approach for Oncology theraPY (INTROPY) (INTROPY)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-08-01
End date: 2027-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Increased tissue stiffness is a hallmark of many solid tumours, driving tumour progression. This occurs through mechanotransduction, the process by which cells sense and respond to mechanical signals. Our lab has identified a key interaction between two proteins, essential for mechanotransduction. This interaction is triggered by force-induced unfolding of a target protein, which occurs only in stiff tissues. Hence, we propose a novel therapeutic approach that targets mechanotransduction by inhibiting the stiffness-induced unfolding of the target protein. This innovative approach has the potential to transform cancer therapy and provide new insights into the role of mechanical signals in disease progression. We developed a thermal shift assay to identify molecules that stabilize the target and inhibit its unfolding. High throughput Screening (HTS) of ~5,000 molecules resulted in 4 hits with confirmed specific binding by NMR analysis. Two additional hits were identified each through structure-based virtual screening and a peptide-based approach, with confirmed binding through NMR analysis. In this project, we aim to validate these 6 hits, and to provide proof-of-concept evidence of their potential for cancer therapy. First, we will validate hits in vitro and in cellular assays. Second, we will optimize them with medicinal chemists to obtain lead molecules. Third, we will evaluate resulting lead molecules in an in vivo mouse breast cancer model. By the end of the project, we expect our data to be sufficient to attract private investment and establish a spin-off company to pursue drug development into clinical phases. This will lead to a first-inclass mechanoinhibitor drug, with potential applications in cancer (with a focus on breast and pancreatic cancer) and other conditions characterized by mechanical stress, such as fibrosis.
Next generation automated sorting, tracing and closed-loop recycling technologies for non-rewearable textiles (AUTOLOOP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Other Bio-environnement destinations
Action type: Research and Innovation actions
Countries involved: Germany,France,United Kingdom,Finland,Netherlands,Denmark,Switzerland
Call: Circular solutions for textile value chains through innovative sorting, recycling, and design for recycling (HORIZON-CL6-2024-CIRCBIO-02, 2024)
Start date: 2025-09-01
End date: 2029-08-31
Duration (months): 48.0
Total project cost (EUR): 4999334.75
EU funding (EUR): 4999334.75
Participants: 14
Project status: SIGNED

AUTOLOOP’s primary ambition is to become a transformative force in the European Textile and Clothing Industry, supporting its transition towards a sustainable circular economy by effectively addressing its current critical challenges. Its overall objective is to develop cutting-edge and scalable technology to build the next generation system for intelligent automated sorting and advanced chemical recycling of non-rewearable textiles (NRT), science-based additive tracing and digitalisation of the textile value chain. Technology development is at the core of the project bringing artificial intelligence powered automated sorting, advanced chemical recycling and additive tracing technologies from their current Technology Readiness Level (TRL) 3 to TRL 5. The textile Data Hub will collect and process data from each recycling step in a Digital Product Passport-compatible format, facilitating transparency, data accessibility and interoperability. The AUTOLOOP chemical recycling technologies are pollutant-resistant and can extract pollutants from the NRT feedstock to deliver a clean and safe fibre product stream through the value chain to the customers. Preliminary modelling suggests that 96% of the net input post-consumer textile can be re-used or recycled by the AUTOLOOP system. According preliminary estimations, a total of 33 AUTOLOOP systems with individual capacity of 11.25 t/h post-consumer textile input can process the total current available NRT potential (1.24 Mt/a) producing: about i) 350,000 t/a of pure NRT fractions, ii) 372,000 t/a Lyocell-fibres, iii) 300,000 t/a virgin quality polyester fibres, iv) 114,000 t/a polyamide and other synthetic fibres. A preliminary estimate suggests that by processing the mentioned NRT potential, the resource savings account to approx. 12,500 million m3 of water, 4.5 TWh of energy and 450,000 ha arable land, relieving pressure from land use change issues and making water available for food and feed production.

Keywords: chemical textile recycling automated sorting tracing technologies
Earthquake Risk plAtform For european cities Cultural Heritage protection (ERA4CH)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Italy,Greece,Cyprus
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 998200.0
EU funding (EUR): 791200.0
Participants: 10
Project status: SIGNED

The seismic movements of the ground have a strong impact on the structural stability of the Cultural Heritage very often characterized by old construction methods and materials but still with a consistent density of population. To have an idea of the dimension of the phenomena, the damage on the CH asset declared by the Italian Ministry of CH, caused by the recent earthquakes in Centre Italy, has been assessed in 2 Billion Euro plus the death toll caused by the collapse of several buildings. Authorities responsible for the preservation of CH to the future generations are well aware of the huge costs required by rehabilitation intervention compared to preventive ones. Risk information becomes fundamental to reduce the vulnerability of heritage and to minimise the economic losses, helping disaster managers and cultural heritage professionals to design mitigation measures, set priorities and invest in resilient cultural heritage to mitigate the restoration costs and the death toll. The project ERA4CH addresses the development of a series of tool, combining Artificial Intelligence with structural stability models, advanced remote sensing techniques, image processing, geotechnics and cadastral data sets in a GIS application for damage assessment and long-term monitoring of historic centres. This innovative methodology and tools will enable effective monitoring and management of the historic centres to mitigate the effects of the catastrophic events by enabling preventive intervention in the areas where the majority of the damage is expected. Three representative test cases are proposed: the historic city of Narni (Italy), candidate to the UNESCO site list, the historical centre of Chania (Crete, Greece) and Strovolos (Nicosia, Cyprus).

Keywords: earthquake risk assessment,historic centre,artificial intelligence
Understanding the host-environmental interactions across the lifespan determining lung function trajectories and COPD (PredictCOPD)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Spain,Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-12-01
End date: 2027-11-30
Duration (months): 60.0
Total project cost (EUR): 1998319.0
EU funding (EUR): 1998319.0
Participants: 4
Project status: SIGNED

Chronic Obstructive Pulmonary Disease (COPD) has been traditionally understood as a self-inflicted disease caused by tobacco smoking occurring in old individuals. Over the past few years, however, our group and others have proposed that the pathogenesis of COPD goes beyond smoking, and that there is a range of lung function trajectories through life (trajectome); some of them have roots in early life and can lead to COPD, cardiovascular and metabolic morbidity as well as premature death, while others are associated with healthy ageing. Here I propose that, detrimental gene (G) and environment (E) interactions occurring early in life (T) constitute a ‘first injury hit’ that alters the normal lung developmental program and modify the pace of normal lung aging by reducing the resilience of the lungs to future GxExT interactions. Accordingly, lifelong GxExT interactions determine the individual trajectome and, eventually, the occurrence of COPD and associated multimorbidity. PredictCOPD aims to identify the interactions and mechanisms that determine which individuals will develop COPD and multimorbidty at some point of their life. The specific aims are: 1) to identify the lifelong environmental and host risk factors associated with the trajectome, COPD and multimorbidity, 2) to use a novel liquid biopsy method to identify biological factors driving the trajectome, COPD and multimorbidity; 3) to identify clinically relevant preventive and/or early therapeutic targets integrating the results from aims 1 and 2 with novel analytical approaches and 4) to validate findings both in vitro and in other available cohorts. The project will leverage from several available population and COPD patient studies with available clinical data and biological samples. The results of PredictCOPD have the potential to: 1) promote healthy ageing by preventing and eventually eradicate COPD and associated multimorbidity; and, 2) change COPD treatment from palliative to causal.

Keywords: lung trajectories,copd,multiborbidity,aging
Future Availability of Secondary Raw Materials (FutuRaM)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Research and Innovation actions
Countries involved: Belgium,France,Germany,Sweden,Portugal,Serbia,Netherlands,Switzerland,United Kingdom,Finland,Italy,Slovenia
Call: Identifying future availability of secondary raw materials (RIA) (HORIZON-CL4-2021-RESILIENCE-01, 2021)
Start date: 2022-06-01
End date: 2026-05-31
Duration (months): 48.0
Total project cost (EUR): 11675969.0
EU funding (EUR): 11675966.0
Participants: 30
Project status: SIGNED

The Future Availability of Secondary Raw Materials (FutuRaM) project seeks to (1) develop knowledge on the availability and recoverability of secondary raw materials (SRMs) within the European Union (EU), with a special focus on critical raw materials (CRMs), to enable fact-based decision making for their exploitation in the EU and third countries, and (2) disseminate this information via a systematic and transparent Secondary Raw Materials Knowledge Base (SRM-KB). The FutuRaM project will establish a methodology, reporting structure, and guidance to improve the raw materials knowledge base up to 2050, and facilitate the exploitation of SRMs with a particular focus on CRMs. The project will integrate SRM and CRM data to model their current stocks and flows, and consider economic, technological, geopolitical, regulatory, social and environmental factors to further develop, demonstrate and align SRM recovery projects with the United Nations Framework Classification for Resources (UNFC). The project will address the following waste streams: Batteries; Waste Electrical and Electronic Equipment; End-of-Life Vehicles; Mining waste; Slags and Ashes; and Construction and Demolition Waste. FutuRaM will further develop and test the UNFC methodology through 18 case studies across the six FutuRaM waste streams. FutuRaM research into the future availability of raw materials is relevant to the specific aspects of the work plan. It will contribute to a transition to climate-neutral, circular and digitised economy; develop an understanding of anthropogenic resources; develop the necessary criteria to establish a resource classification approach; combine new & existing data and present it in a UNFC format; develop a proposal for EU statistics for SRMs; and contribute to raising awareness of raw materials supply challenges in the EU and the possible solutions.

Keywords: secondary raw materials critical raw materials weee elv batteries unfc mining waste slags and ashes construction and demolition waste circular economy climate neutral crm srm
Micro-scale multiphase modelling of the microporous and gas diffusion layer using Lattice Boltzmann Method for Fuel Cells (M3LBM)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 268568.64
EU funding (EUR): 268568.64
Participants: 1
Project status: SUSPENDED

Despite being a promising clean energy alternative to fossil fuels, proton exchange membrane fuel cells (PEMFCs) suffer from significant energy losses as waste heat. Furthermore, the electrochemical reaction in the fuel cell produce water, which can accumulate in the microporous layer and gas diffusion layer (MPL-GDL). Inadequate heat and water management can lead to severe performance issues in PEMFCs, including membrane dehydration, ohmic losses, material degradation, and electrode flooding. Existing research often treats water transport and heat transfer separately, neglecting the complex interplay between these factors. Moreover, the gas flow within the porous MPL-GDL approaches the slip regime, where gas rarefaction effects become significant and traditional assumptions about velocity at the solid boundary no longer hold. This has a substantial impact on the multiphase thermal flow phenomena within the MPL-GDL. To gain a deeper understanding of these phenomena and develop strategies for improved PEMFC performance, this study proposes a comprehensive numerical investigation using the lattice Boltzmann method (LBM). LBM’s kinetic and particle-based approach has proven effective for modeling a wide range of complex fluid flows, including multiphase, nanofluid, magnetohydrodynamic, and complex flows at mesoscopic levels. By incorporating both flow and heat transfer, along with the consideration of gas rarefaction effects, this research aims to provide valuable insights into the behavior of the porous MPL-GDL and inform the design of enhanced materials and structures.

Keywords: lattice boltzmann method,multi phase flow,micro scale flow and heat transfer