Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Joint developments for Urban resiLIence connecting users to public transport through spAce technology (JULIA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: EU Space
Destination: EU Space
Action type: Innovation actions
Countries involved: Spain,Greece,Belgium,Germany,Slovenia
Call: EGNSS applications for Smart mobility (HORIZON-EUSPA-2022-SPACE, 2022)
Start date: 2024-01-01
End date: 2026-11-30
Duration (months): 35.0
Total project cost (EUR): 3810293.76
EU funding (EUR): 2915643.13
Participants: 15
Project status: SIGNED

JULIA - short for Joint developments for Urban resiLIence connecting users to public transport through spAce technology- aims at fostering the uptake of EU Space services and data in the long lead public transport market at the global scale, raising awareness among key decision makers (PTAs, PTOs, cities) on that EGNSS pays off -both from technical and economic perspectives-, ultimately unlocking significant, measurable, and durable impact. It will do so by advancing existing, mature public transport-oriented, user-centric applications leveraging digital technologies, and piloting them to mature, market-ready TRL7-9 solutions. An “Operating System” for Public Transport Operators will be developed building on an already existing Demand Responsive Transit platform, enabling new modules for managing public transport operations, including Artificial Intelligence to enhance existing algorithms to match demand and offer. APIs and webhooks will power different kinds of integrations. These include an information layer for travelers and city stakeholders on air quality using Copernicus data. Curated information and KPIs will be disseminated to the public transport industry through the "Global Observatory of EU Space Data & Services in Public Transport", and selected data sets will be shared in a decentralised way following the EU Data Spaces reference architecture. As a result of JULIA, SMEs participating in the project are expected to raise their Return on Investment (ROI) by more than 20% by 2028, while +200.000 vehicles will potentially be equipped with Galileo advanced features beyond the project. Outreach of the project results toward the global public transport industry will be maximised through a bold dissemination strategy led by ERTICO and POLIS.

Keywords: egnss,galileo,copernicus,public transport,digitalisation,climate action,sustainable mobility,smart mobility
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnides (QUONDENSATE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Italy,Netherlands,Poland,France,Canada
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-04-01
End date: 2028-03-31
Duration (months): 48.0
Total project cost (EUR): 2675838.75
EU funding (EUR): 2675838.75
Participants: 8
Project status: SIGNED

Today’s computation, based on parallel processing of information, is reaching its physical limitations and novel solutions are to be found in the close future to overcome such major hurdle. This project aims to achieve the first proof-of-concept of Quantum Reservoir Computing (QRC) scheme based on networks of Quantum Materials (QMs) defects which will enable the fabrication of prototypical computing devices. The engineering of defect network characteristics such as density and defect typology will allow tailoring the defects’ network physical properties, and ultimately its neuromorphic and computing complexity. The project is feasible yet groundbreaking because it capitalizes upon the very different expertises, both experimental and theoretical, comprised within the partners’ consortium, all of which are required to implement a novel QRC scheme. As such, this project will result in unprecedented characteristics that extend the conventional boundaries of ICT electronic devices and systems and pave the way for the development of novel Quantum Technologies.

Keywords: quantum technologies,quantum optics,quantum reservoir computing,transition metal dichalcogenides,single photon emitters,optical spectroscopy,hyperspectral imaging
AGENTGRAPH: PIONEERING OBSERVABILITY FOR COMPLEX AI AGENTS (APOCAA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2300000.0
EU funding (EUR): 2300000.0
Participants: 1
Project status: CLOSED

Holistic AI Ltd, a London-based deep-tech company specialising in trustworthy and human-centric AI, presents AgentGraph: Pioneering Observability for Complex AI Agents (APOCAA) — a breakthrough platform addressing the emerging “observability crisis” in modern artificial intelligence. As AI evolves into autonomous, multi-agent systems capable of complex reasoning, existing tools fail to provide visibility into decision processes, undermining safety, accountability, and compliance. AgentGraph introduces the first end-to-end observability framework for AI agents, transforming raw execution traces into interactive, causal knowledge graphs that reveal how, why, and under what conditions agents act. The platform integrates advanced modules for trace collection, anomaly detection, risk scoring, causal inference, and optimisation, enabling developers, compliance teams, and regulators to understand, audit, and improve AI behaviour in real time. Built at the intersection of explainable AI, observability, and governance, AgentGraph uniquely combines graph-based insight, multi-dimensional risk analytics, and perturbation testing to deliver full lifecycle transparency—from development to deployment. Early pilots with enterprise partners, including Unilever, have validated the prototype at TRL 5, demonstrating 96% anomaly detection accuracy and up to 40% runtime efficiency gains. AgentGraph creates a new category—agent observability—serving AI developers, regulated industries, and public bodies requiring explainable, auditable systems. With market forces (e.g., EU AI Act) driving demand for transparency, and the rise of agent architectures amplifying complexity, the timing is critical. Holistic AI seeks €2.3 million in EIC Accelerator grant funding to advance AgentGraph to TRL 7, completing R&D, validation, and EU-aligned compliance. The project will position Europe at the forefront of safe, responsible, and sustainable AI governance infrastructure.

Keywords: artificial intelligence agents,observability,complex agents
Norwegian Romantic Nationalisms (NORN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Norway
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2497583.25
EU funding (EUR): 2497583.0
Participants: 2
Project status: SIGNED

NORN seeks to uncover both the affective and ideological dynamics of romantic nationalism, examining how collective emotions related to the idea of the nation were harnessed, activated, and constructed through literature and theater, using Norway as a case study. NORN forges a highly innovative approach combining cultural studies, affect theory, critical race studies, and reception studies with qualitative methods taken from literary studies and history as well as quantitative methods from the digital humanities in order to achieve three interconnected objectives: 1) a comprehensive modeling of nineteenth-century Norwegian literature using machine learning, 2) a meta-critical re-assessment of literary historiography as an explicitly romantic nationalist project, and 3) a radical re-evaluation of the impact of transnational romantic performance culture on nation-building. NORN approaches romantic nationalism from two distinctive perspectives: on the one hand the project seeks to understand the affective register of romantic nationalism qualitatively, which entails meticulous investigation of a wide range of sources through an innovative combination of theoretical lenses in order to recontextualize it as what Raymond Williams famously called a “structure of feeling.” On the other hand, NORN profoundly decontextualizes the literary works themselves through so-called “distant reading” methods, carrying out an ambitious computational modeling of the entire nineteenth-century literary field; this will enable an interrogation of prevailing master narratives about periodization and processes of inclusion/exclusion, delineating romantic nationalism based on far more transparent criteria than those that underpin traditional literary historiographical methods.
High-temperature heating processes with breakthrough microwave and digital technologies for increased energy efficiency (METAWAVE)

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: Spain,Italy,Greece,Germany,Belgium,Lithuania,Austria,Finland,Switzerland
Call: Energy efficiency breakthroughs in the process industries (Processes4Planet partnership) (RIA) (HORIZON-CL4-2023-TWIN-TRANSITION-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 11401204.23
EU funding (EUR): 9487573.87
Participants: 20
Project status: SIGNED

METAWAVE proposes the introduction of advanced microwave-based heating systems in high-temperature heating processes. Its key outcome is the demonstration of these systems in three industrial sectors (ceramics, asphalt, aluminium) achieving superior performance. Process efficiency, energy use, GHG emissions and productivity are the main metrics that define the positioning of the project results on the industrial innovation atlas. The advantages of higher system efficiency, shorter process time and process controllability have the potential of bringing the twin-transition one step closer, helping the process industries to reduce the energy demand and leverage their overall flexibility. Further optimisation requires feedstock enhancement with novel nanostructured additives, waste-based refractories for advanced process monitoring and controls as well as robust modelling and predictive functions for the Process Digital Twin. METAWAVE will target seamless integration of renewable energy sources to power the microwave-based heating systems through Virtual Power Plant (VPP) configurations, accompanied by an energy management system based on data-driven modelling optimisation and alongside the investigation of industrial symbiosis developing a detailed Hub 4 Circularity (H4C) roadmap. A complete assessment of the techno-economic feasibility of the novel technologies and their environmental impact will be conducted paving the way towards their up-scale and commercial adoption. METAWAVE will mobilise different stakeholders into new ways of operating process industries through capacity building, open science, and new forms of sustainable economic activity with an emphasis on sustainable fuels and feedstocks. 7 SMEs along with 6 RTDs, 2 universities and 3 large enterprises work together to achieve 420 GWh energy reduction, over 95ktCO2 averted and more than 19% productivity increase yielding total revenues of more than 230M€ and the creation of more than 900 new jobs by 2032.

Keywords: digitalisation,digital twin,energy intensive industrial sectors,energy efficiency,energy flexibility,microwave based heating,data driven models,physics driven models,decision support
Automated Assessment and Certification Compliance of Organisations, Systems, Data and AI Operations in a Human Understandable Context (ACCOMPLISH)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Italy,Germany,Greece,Spain,Belgium,Cyprus,Netherlands,Austria,Türkiye
Call: AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01, 2024)
Start date: 2025-01-01
End date: 2028-06-30
Duration (months): 42.0
Total project cost (EUR): 13577187.5
EU funding (EUR): 9830812.5
Participants: 25
Project status: SIGNED

ACCOMPLISH aims at increasing the readiness of enterprises of any size to face an era of unprecedented regulatory scrutiny by simplifying, integrating and automating compliance in their data/AI operations, their data/AI assets, their solutions and eventually their overall organisations. ACCOMPLISH will deliver a novel AI-based compliance and certification framework cross-cutting the regulatory/legal, environmental, cybersecurity and business/industry-specific compliance perspectives to modernise, automate and trace the compliance and certification processes with the help of open-source, well-defined and extensible compliance policy models while always ensuring a human-in-the-loop (HITL) approach explaining the compliance requirements and results, as well as proactively alerting about any potential risks/violations. Through the ACCOMPLISH Compliance Digital Passport, the previously “static” compliance and certification assessments will be transformed into up-to-date compliance proof that effectively promotes transparency and accountability for any interested stakeholder. ACCOMPLISH shall also deliver inherently-compliant data economy enablers for Data/AI operations, as reliable mechanisms to design, execute, and trace/observe the data and AI/ML pipelines, as well as to monitor/control their outputs (in terms of datasets, ML/DL models, analytics results). In order to demonstrate the actual innovation and added value that can be derived through the ACCOMPLISH advancements, the ACCOMPLISH results will be validated: I. Through their actual application to address real-life problems in four representative industries that are characterised by a varying maturity level of data/AI operations and compliance: (a) Energy, (b) Automotive, (c) Robotics & Manufacturing, and (d) Aviation; II. Through their integration in different digital solutions, either open source or commercial, to showcase their application within the established data spaces and/or AI market landscape.

Keywords: compliance,assessment,certification,dataops,aiops,data spaces,digital data passport,explainable recommendations
On the nature of autistic echolalia (ECHAUTISM)

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: Belgium,United States
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-08-01
End date: 2027-07-31
Duration (months): 36.0
Total project cost (EUR): 266684.16
EU funding (EUR): 266684.16
Participants: 2
Project status: SIGNED

ECHAUTISM, carried out jointly between CARE at Boston University and ACTE at the Université libre de Bruxelles, aims at investigating the nature of echolalia in autism from a linguistic, behavioural and neural perspective. Echolalia, the exact repetition of the words of others, is a salient clinical feature of autism that is defined by some as a senseless stereotyped and repetitive behaviour and by others as a communicative unusual form of language. ECHAUTISM will ask three specific questions in regard to the nature of echolalia in autism. First, it will investigate whether autistic echolalia should be considered as a symptomatologic manifestation of repetitive behaviours or a late onset form of typical speech imitation. This will be answered by qualitatively and quantitatively describing and comparing the repetitive and the spontaneous speech production of a group of echolalic autistic preschoolers, a group of echolalic autistic adolescents and a group of 2- to 3-year-old typically developing children on measures of linguistic complexity, communicative behaviour, and brain activity. Second, it will ask whether echolalia can function, for some autistic children at least, as a gestalt strategy to language acquisition. This will be answered by evaluating the language abilities of the group of autistic preschoolers one year later to assess whether their speech became more functional and productive. Finally, it will provide an update on the perception of and actions taken towards echolalia by autistic children’s primary caregivers. This will be answered by disseminating a survey among speech-language pathologists specialised in autism and parents of autistic children. ECHAUTISM will have a significant impact on the researcher's career by internationalising her research profile and training her in cutting-edge neuroimaging techniques. Its outcomes should be relevant for both scientific and clinical perspectives of autism.

Keywords: autism spectrum disorder,echolalia,language acquisition,fnirs
Polypeptide hybrid nanoparticles for the delivery of inhalable drugs (NANOINHALE)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-04-03
End date: 2025-04-02
Duration (months): 24.0
Total project cost (EUR): 199694.4
EU funding (EUR): 199694.4
Participants: 1
Project status: SIGNED

Infectious respiratory diseases such as COVID or tuberculosis (TB) still have devastating effects on population health. While the development of potent vaccines has drastically reduced infection rates for some diseases, medicinal drugs remain a corner stone of treatment. Respiratory drug delivery via inhalation is considered an ideal way to directly target the site of infection in the lung. However, suitable functional polymeric drug carriers meeting all clinical and pharmaceutical requirements are rare. NanoInhale aims to develop novel polypeptide nanoparticles with mucus penetrating and cell targeting properties suitable for nebuliser-based drug administration to the lower respiratory tract with a project proof-of-concept demonstration for tuberculosis (TB) up to in vitro level. This clinically informed project is placed at the intersection of polymer chemistry, biomaterial science, and drug delivery and further expands into the fields of medical devices and nanomedicine. The project involves academic and clinical collaborators active in the fields of polymer and pharmaceutical science as well as TB Immunology. The applicants’ expertise in translational polymeric biomaterials in medical applications will be further enhanced by a unique training programme in scientific and complementary skills. NanoInhale’s impact goes beyond the studied area of TB as this platform technology is envisaged to be exploitable in other respiratory treatments. Project results will be communicated to the scientific community as well as the public to create further awareness of the importance of combating infectious respiratory diseases.

Keywords: polypeptides,polymers,nanogels,drug delivery,tuberculosis
AI Meets Human Coaching: Scaling Empathy, Insight, and Growth Across Europe (hey-Coach_ai)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2300000.0
EU funding (EUR): 2300000.0
Participants: 1
Project status: CLOSED

heyCoach!® is an AI-powered coaching platform that combines psychological science, certified human coaches, and proprietary emotion-recognition algorithms to make professional and personal coaching accessible, measurable, and scalable. The innovation lies in its hybrid human-AI architecture: an adaptive “AI Ally” trained on verified coaching dialogues and contextual behavioural data, capable of supporting real-time reflection, summarising sessions, and tracking progress across time and topics. Beyond live coaching sessions, heyCoach!® offers a complete ecosystem for growth: Smart Notes that turn insights into habits, interactive workbooks, audio courses, and AI-powered personality tests that help users understand themselves and measure progress. Its intelligent matching engine connects individuals and organisations with the right coach and provides continuous learning between sessions. In a world facing rising mental-health challenges, psychotherapy shortages, global crises, and the pressure of AI-driven workplace change, the need for preventive, scalable coaching has never been greater. heyCoach!® equips individuals to navigate uncertainty and enables companies to support employees — from adapting to new technologies and leadership demands to post-AI “after-care.” Co-developed and validated with over 100 certified beta coaches across Europe, the platform has reached TRL 6 after completing all aspects of TRL 5 in relevant coaching environments. EIC funding will enable completion of TRL 7–8 through large-scale multilingual pilots, certification of the AI module for ethical and data-protected use, and European-wide rollout. heyCoach!® positions Europe as a leader in responsible AI for human development — enhancing resilience, leadership, and well-being at work and in life.

Keywords: digital wellbeing,ethical ai,mental health,human centric technology,resilience,artificial intelligence ai and machine learning,education,training,personal development,human computer