Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Microbial network controls on N and N2O cycling in an deoxygenating ocean (NITRODEOX)

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: Spain,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-05-01
End date: 2026-04-30
Duration (months): 36.0
Total project cost (EUR): 261380.64
EU funding (EUR): 261380.64
Participants: 2
Project status: SIGNED

The decline in oxygen content (deoxygenation) in the ocean is one of the major features of global change, and affects biological processes and the biogeochemical cycling of key elements such as nitrogen (N). Oxygen minimum zones (OMZs) are intensifying and expanding their distribution, and many coastal waters such as estuaries and enclosed seas are experiencing seasonal anoxia events. OMZs and coastal waters are ecosystems with global relevance for N processing and hot spots for nitrous oxide (N2O) cycling. N2O is a major ozone-depleting substance and a potent greenhouse gas, and its microbial production depends on N and oxygen availability. So far, many studies have addressed the importance of environmental drivers in N and N2O cycling. However they are incomplete predictors of ecosystem functioning. Contrarily, little attention has been paid to biotic community associations, despite they can exert selective pressure on marine microbes and affect ecosystem functioning. NITRODEOX aims to investigate the changes in microbial communities caused by ocean deoxygenation, and to assess how these changes affect N cycling and N2O production. The applicant will develop a novel and interdisciplinary approach combining the quantification of N transformation rates using 15N labeling incubations, with the latest advances in bioinformatics analysis of deep metagenomic sequencing, and network inference methods in order to connect microbial community structure with ecosystem functioning. This project will cover the three major oxygen minimum zones, and two coastal sites (the Chesapeake Bay, and the Mar Menor coastal lagoon), and builds on the advantage of already having an exceptional collection of samples from past cruises. NITRODEOX represents a novel step to identify key taxa and reveal hidden microbial community controls on N and N2O cycling, which is crucial in view of the expansion and intensification of OMZs, and the increasing human impact on coastal waters.

Keywords: nitrogen cycle,nitrous oxide,n2o,ocean,deoxygenation,oxygen minimum zones,coastal waters,network,microbial community,metagenomics,metagenome assembled genomes,bioinformatics
Development of Novel Multimodal Dextran-Based Theranostic Tracers: Targeting Fibroblast Activation Protein as Proof of Concept (POLYTROP)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Greece
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 169326.72
EU funding (EUR): 169326.72
Participants: 1
Project status: CLOSED

According to WHO, cancer is a leading cause of death worldwide, accounting for nearly 20 million new cases and 10 million deaths in 2020. This project addresses the development of a novel compound targeting the fibroblast activation protein, overexpressed in more than 90% of human epithelial cancers. It combines up to four imaging techniques (single-photon emission computed tomography, positron emission tomography, magnetic resonance, and optical imaging) and two therapeutic approaches (radionuclide therapy and boron neutron capture therapy (BNCT)). The novel compound is based on a dextran scaffold, which acts as a backbone for attachment of i) a FAP-inhibitor based on a quinoline structure, ii) a macrocycle chelator for complexation with Gadolinium, Technetium-99m, Rhenium-188, Gallium-68, and Lutetium-177 for imagining or radionuclide therapy, iii) carborane for BNCT and iv) fluorescent dye for optical imaging. The aim is to achieve a tailor-made combination of unique and versatile properties by adapting the multifunctional structure of the ligand compound throughout different imaging and therapeutic procedures using a simple and robust labeling protocol, exploiting the outstanding properties of each moiety and conferring our compound with precisely designed functionalities. The implementation and delivery of high-impact outcomes will be achieved following a well-defined route. The long-term objective of this project is to determine whether vial kits for imaging and therapy can be developed. The novel ligand will be synthesized following well-established methodologies and fully characterized by elemental analysis, IR, and NMR. Then, the radiolabeling procedures of the ligand with the radionuclides will be optimized, and a kit formulation will be developed. At the same time, the project will determine the inhibitory activities of the radiolabeled compounds and their applicability for in vivo imaging and radionuclide therapy in FAP-positive tumor-bearing mice.

Keywords: technetium 99m rhenium 188 gallium 68 lutetium 177 pet spect multimodal imaging theranostic radionuclide therapy
Graphene-based All-Optical Technology Platform for Secure Internet of Things (GATEPOST)

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
Countries involved: Germany,Belgium,Greece,Switzerland
Call: New generation of advanced electronic and photonic 2D materials-based devices, systems and sensors (RIA) (HORIZON-CL4-2022-DIGITAL-EMERGING-02, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 5499818.5
EU funding (EUR): 5499818.5
Participants: 8
Project status: SIGNED

The need for a next-generation computing platform becomes clear from IoT and 5G/6G and their high performance and low power requirements. Now, graphene and 2D materials (2DM) offer the unique ability to enable highly confined nonlinear interactions of light at low powers and at extremely low response times in the femtosecond range. However, it must be integrated with CMOS low-loss silicon nitride (SiN) platform that facilitates the possibility to create circuits for fast, low power, high bandwidth, general purpose computing and memory completely in the optical domain. As the most important challenge comes from the maturity of the graphene processes with standard CMOS environments, the main goal of GATEPOST is to fabricate and demonstrate a radically new graphene-based all-optical data processing platform, integrated and tested in a real CMOS pilot line. As a user case, we focus on a network security device for distributed denial of service (DDoS) detection and network packet inspection. Even though on average 170 cyber-attacks are performed per IoT device per day, there is still a huge lack of security due to the added power, latency, operating costs and bandwidth limitations involved. This is unacceptable, especially considering that the cybercrimes topped an estimated $318 billion in 2021 alone. With our graphene-based computing platform, we will show how low-power, low-latency and high bandwidth network security is ready for the IoT and 5G/6G future. The full system showcases the unique expertise of each consortium member in all-optical digital logic, neuromorphic computing, memory and ultra-fast clock generation. These components are realized in the 2D-Experimental Pilot Line at IHP, allowing for scalable fabrication and strengthening the EU’s supply-chain in high-performance computing. In the future, the developed platform can be deployed for applications in AI, autonomous driving and more, paving the way for computing beyond von Neumann and Moore’s Law.

Keywords: graphene,photonics,pilot line,integration,laser,logic,ddos,firewall,5g,6g,2dm,iot
Climate Shocks and Subjective Wellbeing in Small Island Developing States: Implications for Subnational Foreign Aid (CLIMWELB)

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: Economic Sciences
Countries involved: Malta,Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-20
End date: 2028-02-19
Duration (months): 30.0
Total project cost (EUR): 256642.8
EU funding (EUR): 256642.8
Participants: 3
Project status: SIGNED

Subjective well-being (SWB) is gaining recognition as a key indicator of societal progress, yet it is often overlooked in assessments of the impacts of climate shocks, which are increasing in both severity and frequency. This research, CLIMWELB, aims to fill this gap by pursuing three specific research objectives: 1) examining the impact of climate shocks—drought, flooding, and extreme temperatures—on SWB, 2) investigating the mechanisms through which these shocks affect SWB, and 3) exploring the role of subnational foreign aid in mitigating the potential adverse effects of climate shocks on SWB. CLIMWELB will focus on Small Island Developing States (SIDS), which rank among the most vulnerable globally to climate shocks and receive disproportionately higher levels of foreign aid relative to their economies. To achieve the specific research objectives, CLIMWELB will employ quasi-experimental methods, machine learning techniques, and a suite of robustness checks. Geocoded data on climate shocks and subnational foreign aid will be extracted from the European Centre for Medium-Range Weather Forecasts (ECMWF) and AidData project databases, respectively, while geocoded household data will be drawn from the Demographic and Health Surveys (DHS), the World Bank Microdata Library, and the Afrobarometer database. CLIMWELB will shape scientific discourse by providing the first evidence of the impact of climate shocks on SWB in vulnerable contexts such as SIDS, and offer pioneering insights into the role of subnational aid as a mitigating factor. In addition, CLIMWELB's findings will interest various stakeholders—including SIDS governments, foreign aid donors, international organizations (UN and EU agencies), NGOs, and international financial institutions (World Bank)—and inform their policies aimed at safeguarding small island communities and other vulnerable contexts.

Keywords: climate shocks,drought,flood,extreme temperature,subjective wellbeing,happiness,life satisfaction,subnational foreign aid,difference in differences,small island developing states
Human-guided collaborative multi-objective design of explainable, fair and privacy-preserving AI for digital health (HarmonicAI)

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: Portugal,Thailand,Canada,United Kingdom,Ireland,Finland,Netherlands,France
Call: MSCA Staff Exchanges 2022 (HORIZON-MSCA-2022-SE-01, 2022)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 971257.14
EU funding (EUR): 892400.0
Participants: 18
Project status: SIGNED

Artificial Intelligence (AI) is one of the most significant pillars for the digital transformation of modern healthcare systems which will leverage the growing volume of real-world data collected through wearables and sensors, and consider multitude of complex interactions between diseases and individual/population. While AI-enabled digital health services and products are rapidly expanding in volume and variety, most of the AI innovations remain in the form of proof-of-concept. There is a continuous debate regarding whether AI is worthy of trust. The EU AI HLEG has defined that trustworthy AI systems should be lawful, ethical and robust. To translate it into actionable practices, provision of explainability, fairness and privacy is crucial. A considerable volume of research has been conducted in the areas of explainable AI, fair AI and privacy-preserving AI. However, the current research efforts to tackle the three challenges are fragmented and have culminated in a variety of solutions with heterogeneous, non-interoperable, or even conflicting capabilities. The ambitious vision of HarmonicAI is to build a human-machine collaborative multi-objective design framework to foster coherently explainable, fair and privacy-preserving AI for digital health. HarmonicAI draws together proven experts in AI, health care, IoT, data science, privacy, cyber security, software engineering, HCI and industrial design with an underlying common aim to develop concrete technical and operational guidelines for AI practitioners to design human-centered, domain-specific, requirement-oriented trustworthy AI solutions, accelerating the scalable deployment of AI-powered digital health services and offering assurance to the public that AI in digital health is being developed and used in an ethical and trustworthy manner.

Keywords: trustworthy ai,ai powered digital health,explainable ai,ai fairness,privacy preserving ai,ai security,human in the loop,human machine collaborative design,
Network Information Theory for NonLinear optical channels (NIT-NL)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

Optical fiber systems carry nearly all of the global Internet traffic and are critical infrastructure for modern society. Long-haul optical networks are often based on the notion of wavelength division multiplexing (WDM). At high signal intensities, WDM systems are impaired by the inherent nonlinear effects involved in fiber propagation. In the literature, the fundamental limits of WDM transmission are investigated using information theory. The prevalent viewpoint only focuses on achievable rates for individual users under different behavioral assumptions for the interfering users. NIT-NL deviates significantly from this single-user viewpoint and proposes a multi-user information theoretic approach for the WDM channel that investigates the region of simultaneously achievable rates for all the different users. NIT-NL aims to exploit this holistic perspective and realize a more efficient utilization of the optical network resources. This will be achieved via a) characterization of closed form inner and outer bounds to the capacity region based on realistic channel models, b) asymptotic analyses in the limit of high transmit power to infer the nature of optimal strategies in the highly nonlinear regime, and c) derivation of optimality conditions for simple and practical schemes such as treating interference as noise to achieve the sum-capacity of the given model. NIT-NL will have a direct impact on the scientific community engaged in the long-standing quest of dealing with nonlinear impairments in optical channels, and the multi-user information theory community that will welcome its enrichment on nonlinear channel models. It will also benefit the European telecommunications industry and standardization initiatives.

Keywords: information theory,interference channel,perturbative models
Beam self-cleaning for spatiotemporal mode-locked fiber lasers (BEAMLOCKER)

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: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: CLOSED

Mode locking (ML) is the most important technique to generate ultrashort laser pulses. Tremendous progress has been made in locking longitudinal modes in lasers with a single transverse mode, e.g., single-mode fiber lasers. Spatiotemporal mode-locking (STML) has been proposed by locking transverse and longitudinal modes in multimode fiber (MMF) lasers to generate ultrafast spatiotemporal pulses, opening new directions in studies of nonlinear wave propagation. Thanks to fiber multimodality, such lasers generate pulses with higher power with respect to their single-mode counterpart. On the other hand, the irregular beating among transverse modes is detrimental to achieving high beam quality. This drawback can be overcome by Kerr beam self-cleaning in graded-index MMFs. As pulse power grows above a certain threshold, this process introduced by Kerr nonlinearity allows for an irreversible transfer of power from the high order modes into the fundamental mode, leading to a stable and robust bell-shaped output transverse profile. In this framework, the BEAMLOCKER project aims at studying the dynamics of STML MMF lasers with high-quality output beams by appropriate modeling. The models will be established starting from preliminary experimental studies, and they will be studied by analytical methods, direct numerical simulations, and numerical continuation and bifurcation methods. In addition, the noise behavior of STML lasers will be investigated in detail, with a particular focus on the beam self-cleaning regimes. The project results will stimulate further theoretical analysis and experiments on complex interactions in nonlinear multimode fiber systems. Furthermore, understanding the complex properties of STML MMF lasers will shed new light on frontier physical phenomena, such as spatiotemporal rogue waves generation and turbulence, which find applications in several fields, ranging from telecommunication to biomedicine.

Keywords: spatiotemporal mode locking,mode locked fiber lasers,kerr beam self clearning,bifurcation,soliton,laser noise
The world’s first needle-free continuous glucose monitor to prevent and manage diabetes at scale (PREVENTDIABETES)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Finland
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-02-01
End date: 2024-01-31
Duration (months): 24.0
Total project cost (EUR): 6567443.75
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Diabetes is one of the biggest health concerns globally: 6% of the world’s population already lives with diabetes, and another 35% is at a high risk of developing it. Proper management of diabetes starts with consistent and accurate monitoring of glucose levels. Yet, most diagnosed diabetics do not monitor their blood sugar as often as prescribed, because it is painful and inconvenient to do so. This is clear evidence that the €16+ billion glucose monitors industry needs a change – the current methods are not good enough. We have invented, patented and productized a new technology category for extracting and analysing blood sugar levels in a completely non-invasive way. We are applying for the EIC blended finance to further miniaturise, optimise, and clinically prove this technology on a wider scale. The financing will turn our break-through scientific discovery into an end user device that can potentially impact over 2 billion people by helping them prevent diabetes onset altogether.

Keywords: diabetes management,big data,artificial intelligence,biosensors,biophysics,bioelectronics,needle free biomarker monitoring,continuous glucose monitoring,diabetes prevention,interstitial fluid
An electrochemically produced oxidiser for modular, onsite generation of HYdrogen PERoxide (HYPER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Processes4Planet (co-programmed)
Countries involved: Norway,Germany,Czechia,Slovenia,Netherlands,France,Italy,Luxembourg,Finland
Call: New electrochemical conversion routes for the production of chemicals and materials in process industries (Processes4Planet Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 7254450.0
EU funding (EUR): 7254450.0
Participants: 15
Project status: SIGNED

Hydrogen peroxide (H2O2) has many industrial applications, e.g., as chemical reagent and bleaching agent for textiles and wood pulp. The established production route of H2O2 is the autooxidation/ anthraquinone process, which uses natural gas as both feedstock and energy source.The main objective of HYPER is the demonstration, in industrially relevant environments, of a scalable, modular electrochemical process for H2O2 production with improved efficiency compared to the state-of-art. It will bridge this production with downstream integration into diverse value chains, pulp and paper, textiles and coatings/chemicals, in which strong market opportunities exist for modular, on-site and on-demand H2O2 production. The central innovation in HYPER is the use of persulfate as a stable oxidization intermediate, allowing both storage of renewable electricity and on-demand H2O2 production. HYPER will thus help transform H2O2 production from a large-volume, energy intensive chemical process to a smaller-scale, modular, renewable, electrochemical process. Demonstration of electrochemical production technologies at TRL6 and integration into the three aforementioned value chains will allow HYPER to evaluate the potential of the electrochemical production for further TRL development.HYPER will advance a safe, circular, and cost competitive electrified technology for H2O2 production. The estimated production price of ca. 0.6 €/kg can be further decreased by the storage of renewable electricity. Implementation of HYPER technology will decrease life cycle CO2 emissions in H2O2 production by up to 75% when 100% renewable energy sources are used. Estimated CO2 emissions reductions are from 1.1 Mt CO2/yr in 2030 to 1.4Mt CO2/yr in 2045, for cumulative CO2 emission savings of more than 19 Mt by 2045. Energy consumption of the HYPER process are estimated to be over a third less than the established production route.The HYPER consortium consists of 4 RTOs, 6 SMEs and 3 industrial partners.

Keywords: electrochemistry,electrochemical production,persulfate,hydrogen peroxide,h2o2,h2s2o8,chemicals,textiles,pulp and paper,renewable energy source,bleaching,on site,modular,on demand,safety