Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Quantum photonic integrated circuits at 1550 nm (QPIC1550)

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: Italy,Netherlands,Denmark,Greece,France,Poland,Ireland
Call: Quantum Photonic Integrated Circuit technologies (RIA) (HORIZON-CL4-2023-DIGITAL-EMERGING-01-CNECT, 2023)
Start date: 2023-12-04
End date: 2027-12-03
Duration (months): 48.0
Total project cost (EUR): 6685593.15
EU funding (EUR): 5998129.23
Participants: 9
Project status: SIGNED

The goal of this project is to create a universal QPIC platform at 1550nm by integrating InP, Quantum Dots and InGaAs detectors on SiN PICs together for the first time. This new platform has the potential to revolutionise quantum photonics by enabling the creation of on-demand single photons and entangled photon pairs, with efficient single photon detection. Critical to this platform is its compatibility with existing optical fibre networks which makes this a cost-effective solution for quantum communication, computing, and quantum metrology applications. We demonstrate the flexibility of our QPIC platform in three different use cases: Quantum Key Distribution, Remote Quantum Computing and Quantum Clock Synchronisation experiments

Keywords: ingaas,inp,quantum dots,sin,qkd,telecom wavelength,clock synchronisation,remote quantum computing
ARtificial IntelligencE in fighting illicit drugs production and traffickiNg (ARIEN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Fighting Crime and Terrorism
Action type: Innovation actions
Countries involved: Italy,Greece,Slovenia,Albania,Moldova, Republic of,Kosovo,United Kingdom,France,Czechia
Call: Effective fight against illicit drugs production and trafficking (HORIZON-CL3-2022-FCT-01, 2022)
Start date: 2023-11-01
End date: 2026-10-31
Duration (months): 36.0
Total project cost (EUR): 4948147.5
EU funding (EUR): 4268160.0
Participants: 19
Project status: SIGNED

ARIEN proposes the execution of a comprehensive workplan that thoroughly addresses the call topic aligned to the 2021-2025 EU Drugs Action Plan (DAP) achieved through a holistic innovation action that builds a real-time intelligence picture illegal drug production and trafficking incidence across the EU bolstered by AI-driven tools to understand, detect, analyse and track the entire drugs trafficking chain, its financial flows and the role of black-markets in the global darknet and their relationships with of social media. ARIEN builds on a strong platform of multi-disciplinary research, following a co-creation approach, across the criminological, societal, and legislative landscapes that will make recommendations for harmonization and drive an agenda for the development of modular solutions embedding modern Artificial Intelligence (AI) techniques and best practices for international cooperation in data-rich environments in a legally and ethically compliant manner. Aiming at improving the investigative capability of LEAs on illegal drugs production and trafficking, ARIEN will leverage on innovative AI techniques to monitor online illicit drugs markets and collecting precious information on physical drug-dealing hotspots through social media. Additional layers of analysis, supported by explainable AI (XAI) methods, will provide actionable knowledge on modus operandi and emerging threats and trends both on drugs and drug-related organized crime networks through integrations with criminal records data and detection of online activities. Moreover, ARIEN will promote effective strategies on international cooperation among EU and non-EU LEAs, Customs and Border Guards Authorities and policy makers to enhance investigative activities against criminal groups, capitalising on effective AI techniques.

Keywords: intelligence picture artificial intelligence international cooperation information exchange criminological analysis police authorities border and coastguards
Gate-teleported Gaussian boson sampling (GTGBS)

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: Denmark
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): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

Quantum computation holds promise for enormous advancements in human's computational power. Among various possible approaches, quantum computation in the optical continuous-variable (CV) platform offers room-temperature compatibility and unprecedented potential for scalability into millions of entangled modes. However, the platform needs to demonstrate its power in practical applications and in encoding qubits that are compatible with fault-tolerant computational architectures. Here, I propose the GTGBS project, which paves the way for addressing these challenges by realising the Gaussian boson sampling (GBS) protocol to leverage the computational power of the platform. The major improvement of the GTGBS project is that it will use the gate teleportation technique in CV quantum optics to replace the large interferometer array in the current realisations of GBS with a simple measurement–feed-forward structure. The GTGBS project is expected to overcome the effect of photon losses in the interferometer that has a significant detrimental effect on the scalability of GBS experiments. Meanwhile, it has excellent compatibility with the measurement-based quantum computation architecture, a promising technical route to realise fault-tolerant quantum computation in the CV optical platform. The GTGBS project has a high potential impact: by improving the performance of the GBS experiments, the developed setup will acquire the computational power to solve practical, interdisciplinary problems like combinatorial optimisation and drug design. Furthermore, the setup can serve as a resource state preparator for fault-tolerant CV quantum computation. It is thus plausible that the GTGBS project will make a solid contribution to the development of quantum technology and provide several practical applications in industry.

Keywords: optical quantum computing,boson sampling,measurement based quantum computing,quantum information with continuous variables
Flying Archosaurs: Deciphering the Physiological Correlates of Sky Conquest (FLAPS)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

The first vertebrate animals were jawless marine organisms which appeared in the fossil record over 500 million years ago. These lineages diversified and eventually crept ashore leading to further evolutionary divergence and become the charismatic living groups. The evolution of limbs in one lineage of vertebrates set the stage for these vertebrates to colonize landmasses around 320 million years ago. The water-terrestrial transition included some chalenges, such as air breathing, sustain the body weight dealing with gravity force and avoid the dehydration. On land, vertebrates radiated evolutionarily into many of the vacant niches. Well-adapted on terrestrial enviroment was the time to the aerial conquest. The extant flying vertebrates are the birds and bats, but pterosaurs were the first vertebrates to rule Mesozoic skies. These three groups evolved convergently to power their wings and increase the metabolic capacity during the flight. The origin of vertebrate flight is still unclear there is a dicothomy debate discussing whether it evolved from glidind or flapping ancestors. There are discordancies between the experts, some studies indicated pterosaurs as ground-based at hatchling and others suggested a powered flight in early life for these flying reptiles. Herein, this project will create a new method to explore the origin of the flight in vertebrates investigating the metabolic challenges of the pionner group to accomplish this ability: the archosaurs.

Keywords: birds metabolic rates powered flight pterosaurs vertebrates
Autonomous Plasmon-Enhanced Photocatalytic Microrobots Powered by Lorentz Force (PLOBOT)

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: Chemistry
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-12-01
End date: 2024-12-31
Duration (months): 25.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

The 1966 sci-fi film, Fantastic Voyage, portrayed a scientist who miniaturized a submarine to enter his body to remove a blood clot. It is only recently that scientists have been able to assemble microrobots from scratch to autonomously move and perform complex tasks, such as catching and delivering cargo, and/or performing chemical reactions. The bots use energy from their surroundings or from an external stimulus, and turn it into motion. Light-driven motion in photocatalytic robots is exceptionally appealing as it allows actuation and control by using an external free energy source i.e., sun and enhancement of chemical reactions due to two effects: self-generated micro-mixing effect and constant surface refreshment, giving place to new chemical reactions ‘on-the-fly’. Yet, the reported photocatalytic bots up to date are so slow that their speed can be confused with Brownian motion. This project seeks to combine two approaches for the first time to enhance the efficiency and speed of light-driven bots: Lorentz force as an ultrafast motion mechanism and plasmonic effects for bettering light harvesting. A novel system will be introduced in which the robot’s motion based on the magnetohydrodynamic convection effect is triggered by visible light and can pursue desired reactions (degradation of organic wastes and hydrogen generation). By leveraging the host’s fundamental photophysical approach in nanoplasmonic design and my interdisciplinary angle on microrobots and energy field, the results are expected to bring knowledge gain for the microrobot field, and possibly a long-term impact on Europe’s solar technological innovations. The project‘s training comprises transferrable (leadership and communication) and technical skills development (bridging a knowledge gap in photophysics), to advance my career as a future group leader in Europe with an unorthodox research angle combining photo/electrochemistry and microrobots for alternative energy and environmental solutions.

Keywords: microrobots,nanoplasmonics,photocatalysis,light driven reactions,autonomous motion
FARE_AUDIT: Fake News Recommendations - an Auditing System of Differential Tracking and Search Engine Results (FARE_AUDIT)

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: 2022-12-01
End date: 2024-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The spread of disinformation is a serious problem that impacts social structure and threatens democracies worldwide. Citizens increasingly rely on (dis)information available online, either somewhat passively, through social media feeds, or actively, by using search engines and specific websites. In both scenarios, algorithms filter and select displayed information according to the users’ past preferences. There is a real risk that algorithms might reinforce the user’s beliefs and create (dis)information bubbles, by offering less divergent views, or even directing them to low-credibility content. For these reasons, serious efforts have been made to identify and remove “fake-news” websites and minimize the spread of disinformation on social media, but we have not witnessed equivalent attempts to understand and curtail the role of search engines. FARE_AUDIT addresses this imbalance and offers an innovative tool to audit search engines that can be broadly used. It will help to 1) better understand how browsing history influences search engine results, particularly the likelihood of being directed to disinformation, 2) create a system that democracy-promoting institutions and concerned citizens can use to identify new disinformation, in near real-time, and 3) breach information bubbles by simulating how search results would be different if users had a different online profile. By relying on web-crawlers, our tool is privacy-protecting and does not require any real user data. Moreover, the proposed system anticipates the announced shift from cookie-tracking to fingerprinting and takes advantage of the expected small time overlap between both systems to learn from both and broaden its scope. Overall, we expect this novel tool to have a meaningful social impact by increasing public awareness of the role of search engines on disinformation spread, and by equipping organizations with a tool to detect and monitor disinformation, especially in political contexts.
Creative Activisms towards Material Intersectionality in Water Conflicts: Expanding the Visual Field (MATERIALITIES)

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: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-12
End date: 2028-01-11
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 2
Project status: SIGNED

Legibility is at the center of intersectionality. It is common to find phrases such as “to make visible” certain forms of oppression as the main objective of intersectional studies. Its legal roots and inclusive potential lead to an increasing presence of the term and percolated human rights instruments. However, its use remains discursive and the attempts to operationalize the concept still replicate the “rights-bearing-subject” paradigm and hold on to identitarian categories. MATERIALITIES will contribute to materialize the “intersectional exposure” approaching visibility debates creatively by following a different strategy than that of creating the legal category of a subject in order to see them. Through new materialisms framings and using ethnographic approaches and vibrant audio-visual methods on four case studies from Argentina (1) and Spain (3), MATERIALITIES will consolidate a novel theoretical and operative framework about intersectionality in rights-based interventions in water conflicts. The trainings and transfers of knowledge focus on advocacy using creative activisms, innovative qualitative research methods, experiential or clinical teaching, networking and novel synergies, leadership and science communication skills. In addition, the guidance of Beatriz Rodriguez-Labajos, a leading scholar on the matter, at UPF, and Laia Forné Aguirre during a secondment at IDRA -a think-tank known for its strong links with grassroots organizations and experience in network practices- they all contribute to a project tailored for merging human rights advocacy and creative activism that will lead to an intersectional legal framework grounded on empirical approaches to water related conflicts and expanded by creative activisms. MATERIALITIES impact stands out for promoting debates that push for a more substantive translation of intersectionality into public policy reforms.

Keywords: intersectionality,human rights,environmental justice,right to water,sociolegal studies,legal materialisms
enabled Dynamic Air Traffic Flow Configuration for Flow-Centric Airspace Management (DeepFlow)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (JU-JTI)
Countries involved: Spain,Belgium,France,Sweden,Singapore
Call: ATM Excellent science and outreach for capacity on demand and dynamic airspace (HORIZON-SESAR-2023-DES-ER-02, 2023)
Start date: 2024-09-01
End date: 2027-02-28
Duration (months): 30.0
Total project cost (EUR): 1431029.5
EU funding (EUR): 989637.0
Participants: 6
Project status: SIGNED

Facing the air traffic growth and the challenges in balancing air traffic between geographical sectors, the air traffic control paradigm is shifting from local sector-based solutions to cross-border flow-based approaches. Such flow-centric approaches can be promising to overcome the scalability limits of geographical sectors and optimize the traffic at a regional level. Under this paradigm, this project proposes to develop a dynamic air traffic flow configuration method to assess, predict, manage, and optimize the evolving air traffic flows to enable more efficient flow-centric ATFCM and airspace management. To realize this, first, a flow-pattern extraction module will be developed to identify the major air traffic flows and to characterize the traffic flow structure. Second, with the identified traffic flow pattern, a flow monitor module will be developed to observe the evolution of major traffic flows, such as flow density, flow rate, and flow interactions, integrating as well weather and environmental impact key performance indicators. Third, with the monitored traffic flow data, a traffic flow assessment module will be designed to measure the congestion and flow/capacity imbalance in the airspace, followed by a flow prediction module to provide forecasts of the future air traffic flow features. The fifth module, traffic flow configuration, will investigate the dynamic flow management strategies, such as flow merge and split and flow regulation, based on the flow assessment/prediction outcome. This last module will allow for installation of Flow Regulation Gates to monitor flow interactions and to regulate flights according to flow capacity. An integration of these modules into a flow-centric airspace management framework can pave the way to the dynamic airspace management. Finally, all the developments will be integrated into an innovative platform to validate the concept and methods proposed by the project.

Keywords: flow centric atfcm artificial intelligence dcb airspace management environment
A Digital Twin Enabled Multiplexed Sensors for Chronic Wound Management (TWINSENSE) (TWINSENSE)

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: United Kingdom,Portugal
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 2
Project status: SIGNED

TWINSENSE is a project aimed at digitizing wound management through the development of a digital twin (DT) of chronic wounds through a multiplexed sensor system. The project integrates data from a custom-designed, wearable multimodal sensor with machine learning (ML) algorithms to develop the DT, enabling real-time analysis of wound biomarkers and accurate prediction of healing outcomes. This will facilitate timely therapeutic interventions, reducing the risk of complications such as amputations in chronic wounds. TWINSENSE focuses on developing screen-printable formulations of metal-decorated reduced graphene oxide (rGO) derivatives to create multimodal sensors on wearable bandages. These sensors, in combination with a wearable electronic circuit, will continuously monitor wound parameters (pH, temperature, urea) to generate comprehensive ML training datasets. The datasets will be employed to develop the DT using knowledge graph-based data modelling techniques. The DT will also feature a Scenario-Maker module, capable of processing data from the multimodal sensors to simulate various healing scenarios, predicting potential complications, and recommending optimized treatment strategies in real time. By addressing the unmet need for advanced chronic wound care, which affects over 60 million people globally, TWINSENSE aims to improve patient outcomes and reduce healthcare costs. Additionally, TWINSENSE has the potential to foster an entrepreneurial ecosystem around digital wound care technologies, driving revenue generation and contributing to the sustainable development of healthcare systems.

Keywords: wearable electronics,wound management,screen printing,multimodal sensors,digital twin,machine learning,predictive analysis