Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Integrated femtosecond laser based frequency comb and photonic microwave oscillator (femto-iCOMB)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Challenges
Action type: EIC actions
Countries involved: Germany,France,Netherlands,Switzerland
Call: EIC Transition Challenge: Chip-scale optical frequency combs (HORIZON-EIC-2023-TRANSITION-01, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 2498245.0
EU funding (EUR): 2498245.0
Participants: 6
Project status: SIGNED

In femto-iCOMB, we develop the first integrated femtosecond laser-based frequency comb that can serve as the basis for a wide variety of optical and Radio-Frequency (RF) technologies ranging from high resolution environmental and health sensing to LIDAR and RADAR. Femto-iCOMB is based on the successful EIC-pathfinder project FEMTOCHIP, where we demonstrate an integrated high power femtosecond laser enabling extremely low jitter on chip scale. Here, we tam the free running comb from the integrated femtosecond laser with on-chip continuum generation, carrier-envelope and repetition rate locking to an optical reference to become a fully stabilized femtosecond laser frequency comb (FSLFC) with extremely high frequency stability. We use the femto-iCOMB to pursue photonic microwave oscillators for a variety of applications ranging from autonomous driving to ultra-low phase noise oscillators for advanced signal generators and RF-test and measurement equipment and demonstrate these devices in relevant industrial environments for each application. These prototype field tests will validate the TRL levels achieved for each application and together with surveys of potential customers will inform the business case to be made for each potential product line.

Keywords: integrated freqeuncy comb,integrated optics,femtosecond laser,photonic microwave generation,autonomous driving,radar
HYPER entanglement in SPACE (HyperSpace)

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,Italy,France,Austria,Canada,Malta
Call: International cooperation with Canada (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-03-31
Duration (months): 42.0
Total project cost (EUR): 1941172.5
EU funding (EUR): 1941172.5
Participants: 9
Project status: SIGNED

HYPERSPACE aims to extend the hitherto untapped potential of high-dimensionally entangled photons to long-distance free-space communications. Encoding several qubits per transmitted photon increases channel capacity and yields significant benefits in the implementation of advanced quantum information processing protocols, such as improving resilience with respect to noise and eavesdropping in secure quantum communications. Therefore, increasing the dimensionality of quantum systems can be considered as one of the next important technological steps to realize more practical quantum protocols in real-world scenarios. To this end, HYPERSPACE encompasses research along the complete process chain of photonic quantum information processing, from noise-resilient quantum state encoding, over fully fibered and photonic integrated quantum light sources and free-space compatible state analyzers to the implementation advanced quantum protocols facilitated by the use of quantum state encoding in multiple, high-dimensional degrees of freedom. Building on this approach we will provide a technology roadmap towards an intercontinental quantum communication network linking Canada and Europe. In order to facilitate deployment on scalable small-scale satellite platforms, HYPERSPACE aims not only to develop new protocols based on hyper-entanglement, but also to transfer these to low-cost scalable photonic integration platforms.

Keywords: high dimensional entangled photons long distance free space communications
Infectious Disease decision-support tools and Alert systems to build climate Resilience to emerging health Threats (IDAlert)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Living and working in a health promoting environment
Action type: Research and Innovation actions
Countries involved: Sweden,Netherlands,Spain,Germany,France,Bangladesh,United Kingdom,Greece,Italy
Call: Health impacts of climate change, costs and benefits of action and inaction (HORIZON-HLTH-2021-ENVHLTH-02, 2021)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 9188298.75
EU funding (EUR): 9188294.0
Participants: 19
Project status: SIGNED

Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of zoonotic infectious diseases in Europe. Policy and decision-makers need tailored monitoring of climate-induced disease risk, and decision-support tools for timely early warning and impact assessment for proactive preparedness and timely responses. The abundance of open data in Europe allows the establishment of more effective, accessible, and cost-beneficial prevention and control responses. IDAlert will co-create novel policy-relevant pan-European indicators that track past, present, and future climate-induced disease risk across hazard, exposure, and vulnerability domains at the animal, human and environment interface. Indicators will be sub-national, and disaggregated through an inequality lens. We will generate tools to assess cost-benefit of climate change adaptation and mitigation measures across sectors and scales, to reveal novel policy entry points and opportunities. Surveillance, early warning and response systems will be co-created and prototyped to increase health system resilience at regional and local levels, and explicitly reduce socio-economic inequality. Indicators and tools will be co-produced through multilevel engagement, innovative methodologies, existing and new data streams and citizen science, taking advantage of intelligence generated from selected hotspots in Spain, Greece, The Netherlands, Sweden, and Bangladesh that are experiencing rapid urban transformation and heterogeneous climate-induced disease threats. For implementation, IDAlert has assembled European authorities in climate modelling, infectious disease epidemiology, social sciences, environmental economics, One Health and EcoHealth. Further, by engaging critical stakeholders from the start, IDAlert will ensure long-lasting impacts on EU climate policy, and provide new evidence and tools for the European Green Deal to strengthen population health resilience to climate change.

Keywords: animal health,zoonoses,one health,eco health,green deal,farm to fork,climate adaptation,climate mitigation,policy analysis,epidemiology,infectious disease epidemiology,
Distributed Ledger Technology: Innovation & Ecosystem Management (DIEM)

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: Economic Sciences
Countries involved: Netherlands,Malta,Poland,United Kingdom,Norway,Spain,Greece,Romania,France
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 3229166.23
EU funding (EUR): 2803940.4
Participants: 13
Project status: SIGNED

Early evidence suggests that participants in Blockchain ecosystems have to resolve technological, innovation, governance and stakeholder management tensions at different levels: organizational (internal innovation development and management), ecosystem (alliances, platform emergence) and individual level (consumer, user adoption). Industry, Government and research bodies must join forces and share expertise to properly investigate the phenomenon and maximize the societal and economic impact of Blockchain technology for EU and global entities. Given that Blockchain technology exists at the intersection of these three different levels of analysis (organizational, ecosystem, societal) it is impossible to study the phenomenon without taking into consideration the dynamics that are created at the intersection of these levels. DIEM consortium brings together academic, government and industry expertise to holistically investigate the managerial, economic and societal implications of Blockchain technology. DIEM is a Doctoral Network (Industrial Doctorates) that creates a platform for researchers to engage in the co-production of knowledge by investigating state-of-the-art challenges and societal implications of Blockchain technology across actors and industry boundaries. It has a significant potential for creating an impact on careers of PHDs, as transforming Europe into a society capable of building its competitiveness on digital technology requires developing a new generation of responsible researchers with the competency to understand how fundamental shifts in digital technology impact across businesses, industries and society.

Keywords: ecosystems,emerging technologies,strategy
TRansition to agriculture 4.0: increasing crop resiliency with Artificial Intelligence Technology (TRAIT4.0)

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: Germany
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 3496875.0
EU funding (EUR): 2447812.0
Participants: 1
Project status: CLOSED

Global food security challenges, due to exposure to more frequent and intense climate extremes, are threatening to erode and reverse gains made in ending hunger and malnutrition globally, and to shake the foundations of crop production locally. Therefore, plant breeders are under pressure to tackle climate resiliency and resource efficiency. Machine learning-based technologies have the potential to address these challenges and enable breeders to produce stable, value-added products, which contribute to resource-efficient agriculture that can feed the world, but are so far still under development and not commercially available. Computomics has developed xSeedScore, the first disruptive machine learning-based technology enabling more climate-resilient varieties, decreased land and water use, reduced time-to-market and a competitive alternative to genetic modification. With help of the EIC Accelerator, Computomics expects to reach by 2026 a turnover of €18M and 50 employees.

Keywords: food security,computer sciences,information science and bioinfo,climate change,climate resilient food production,genomics,phenotype,phenotyping,breeding companies,plant,breeders,computational engineering,crop,biotechnology,metagenomics,machine learning,data science,bioinformatics,computational biology,supply chain continuity,plant breeding and plant protection,new plant varieties
Playing urban mobility games with intelligent machines. Framework to discover and mitigate human-machine conflicts. (COeXISTENCE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Poland
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 1494405.0
EU funding (EUR): 1494405.0
Participants: 1
Project status: SIGNED

AI-driven technologies are ready to enter urban mobility. They promise relief to the notoriously congested transport systems in pursuing sustainability goals. Since AI already outperforms humans in the most complex games (chess and Go) it is likely to win the urban mobility games as well, outperforming us e.g. in: route choices (to arrive faster), mode choices (to reduce costs), pricing strategies and fleet management (to increase market shares and profits). Tempting us and policymakers to gradually hand over our decisions to intelligent machines. The consequences of this ongoing revolution are challenging to predict and largely unknown. While the abundance of previous studies proves the positive potential of AI in urban mobility (from autonomous vehicles via optimal routing up to fleet management), the negative impact is overlooked. Conversely, our scenario of interest is the machine-dominated urban mobility system, where (collective) decisions of machine intelligence improve system-wide performance, yet at the cost of humans, now facing e.g. longer travel times, greater monetary costs or being nudged to change natural travel habits into the optimal ones - desired by the machine-centred system. Such scenarios, however, need to be discovered. To this end, COeXISTENCE embarks on the interdisciplinary expedition inside the virtual environment of urban mobility, where machines and humans play the game for limited resources. In the four pre-identified games I will explore the conflict scenarios, demonstrate them on reproducible case-studies, quantify with proposed measures and finally mitigate with a proposed multi-objective reinforcement learning framework, where machines learn to mitigate conflicts while simultaneously reaching their inherently selfish objectives. Reaching the projects' objectives will be ground-breaking when new phenomena are discovered and lead to breakthrough when they are mitigated pushing the system towards the synergy of COeXISTENCE.

Keywords: urban mobility travel demand travel behaviour reinforcement learning agent based modelling traffic microsimulation discrete choice two sided mobility platforms traffic assignment
Monitoring of local roads - quality based procurement, evaluated in real situation, using state governed lotery (CameraCar)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EU prize
Destination: European Innovation Procurement Awards
Action type: Recognition Prize
Countries involved: Czechia
Call: Innovation procurement initiative (including implementation) category (HORIZON-EIC-2024-PRIZE-EIPA, 2024)
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 1
Project status: CLOSED

The original goal of the contract was to find a supplier of technology for monitoring parking zones in the capital city of Prague (Czech Republic). The supplier was to provide both the technology and the vehicles, as well as ensure the monitoring service using these vehicles. We had experiece with the current supplier who had been providing the service for five years. The competition sought the most modern technology available. The City of Prague generates an annual revenue of CZK 750 million (EUR 30 million), and over 10,000 violations were detected monthly. The monitoring costs were CZK 40 million per year (EUR 1.6 million). Through extensive preliminary market consultations, the current capabilities of suppliers were assessed, and in addition to monitoring parked vehicles, the use of cameras was expanded to include verifying the condition of horizontal and vertical traffic signs and monitoring road surface damage. In the competitive procedure with negotiation, we received seven requests to participate from various European companies, four of which participated in testing the camera-equipped cars in real-life conditions We evaluated the results based on approximately 3,500 vehicles, using six sub-criteria of quality, which included license plate recognition accuracy, precise vehicle location determination, and the quality of photographic documentation. The KPIs measured during testing also served as acceptance criteria and as minimum quality criteria for contract performance. The selection of photographs for evaluation was conducted by referencing the future results of a state-supervised lottery. This used method has inspired other public contracting authorities to adopt a transparent, indisputable, and low-cost method of decision-making in cases where a random draw is necessary. The winning bid was submitted by a startup with previous experience in image recognition and the use of AI. They also offered the lowest price.

Keywords: quality evaluation,testing,using ai,qualitative testing in operation,emphasis on quality,use of the national lottery for transparent selection of a part of the performance for testing
Electrochemical Borylation via Borylene Species: Bridging a Gap in Synthetic Chemistry (ElectroBor)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure -properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1499643.0
EU funding (EUR): 1499643.0
Participants: 1
Project status: SIGNED

Carbenoids (carbene and nitrene) have revolutionized the field of organic chemistry, reshaping and improving the molecular construction landscape and unveiling previously inaccessible reaction pathways. This chemistry has massively simplified the synthesis of complex molecular structures, such as pharmaceuticals, agrochemicals, and polymers. In contrast with the essential role of carbenes and nitrenes, the boron analogue - borylene - has received limited attention in synthetic chemistry. A basic understanding of borylene reactivity has hindered its utilization in organic synthesis, primarily because of its synthetically challenging formation. This proposal aims to harness electrochemistry as a novel synthetic approach for the controlled generation of borylenes. This chemoselective platform will determine the critical factors that influence the reactivity of borylene intermediates and will enable the use of new borylation techniques previously out of reach of chemists. Having successfully demonstrated the first example of electrochemical borylene formation, we anticipate the emergence of various novel borylation techniques, among others, (i) the synthesis of underexplored strained three-membered boracycles by cycloaddition reactivity, unlocking access to novel classes of molecules, and (ii) the activation of ubiquitous bonds through boron insertion into C-C, which will utilize unprecedented retrosynthetic logic for ring expansion and 1,n-substituted chemical motifs, thus shortening the synthetic scheme of functional materials. Drawing inspiration from the remarkable impact of carbenoids across a multitude of chemistry domains, we envision that the electrosynthesis of borylenes will empower chemists to employ these reactive species to unlock access to entirely underexplored classes of molecules and will provide profound insights into borylene reactivity, consequently charting a captivating course towards undiscovered realms in chemical synthesis.

Keywords: borylene,electrosynthesis,borylation methods
A novel role for PGE2 signalling in promoting aged neuromuscular junctions reinnervation and counteracting sarcopenia. (RestorAGING)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-04-01
End date: 2027-03-31
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 2
Project status: SIGNED

Aging is characterised by a progressive decline in muscle mass and force, potentially resulting in the insurgence of sarcopenia. Sarcopenic patients are at an increased risk of falls and fractures, with a concordant decrease in mobility and personal independence. Evidence suggests that key determinants of sarcopenia insurgence are muscle denervation, failure of its reinnervation and degeneration of neuromuscular junctions (NMJ), representing the connection between the nerve and the muscle and essential for muscle function. This MSCA project will inform our understanding on the interplay between prostaglandin signalling and the NMJ in the onset and treatment of sarcopenia. Prostaglandin E2 (PGE2) stimulates tissue regeneration. Its levels are reduced in aged human and mice skeletal muscles due to increased activity of its degrading enzyme 15- prostaglandin dehydrogenase (15-PGDH). Inhibition of 15-PGDH in aged rodents restores PGE2 concentrations to youthful levels, increasing muscle mass, strength and endurance. However, the mechanisms underlying how 15-PGDH/PGE2 modulation exerts these effects are not well understood. Here, I will show how PGE2 impacts NMJ integrity in mice, establishing if restoration of its signalling restores NMJs innervation progressively lost in aging. My final aim is to determine whether boosting PGE2 levels via 15-PGDH inhibition represents a viable therapeutic strategy to treat sarcopenia. To confirm the relevance of the dysregulated 15-PGDH/PGE2 axis in determining NMJ alterations in humans, I will perform single nuclei RNASeq and spatial proteomics (CODEX) on muscle samples of young and aged healthy, pre-sarcopenic and sarcopenic individuals. I will integrate the molecular data with in-vivo muscle morphology and function, (1) to reveal whether 15-PGDH expression, activity and localization is different in sarcopenic muscle and correlates with any in-vivo parameter and (2) to generate a macro-to-micro atlas of human aging and sarcopenia.

Keywords: sarcopenia treatment 15 pgdh inhibition neuromuscular junction human transcriptomics and spatial proteomics atlas human in vivo and ex vivo aging and sarcopenia atlas