Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
AI Powered human-centred Robot Interactions for Smart Manufacturing (AI-PRISM)

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: Innovation actions
Partnership: AI-DATA-ROBOTICS, Made in Europe (co-programmed)
Countries involved: Spain,Estonia,Türkiye,Poland,Greece,Austria,Romania,Korea, Republic of,United Kingdom,Italy,Belgium,Finland
Call: AI enhanced robotics systems for smart manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2022-10-01
End date: 2025-12-31
Duration (months): 39.0
Total project cost (EUR): 10827138.76
EU funding (EUR): 9335578.88
Participants: 30
Project status: SIGNED

AI-PRISM is an industrial-end-user driven project that will provide a human-centred AI-based solutions ecosystem targeted to manufacturing scenarios with tasks difficult to automate and where speed and versatility are essential. The result will be an integrated and scalable ecosystem with installation-specific solutions for semi-automated and collaborative manufacturing in flexible production processes and for which specific robotic programming skills will not be required, thanks to its programming-by-demonstration modules. The ecosystem will be composed by four main pillars including 1) Human Centred Collaborative Robotic Platform, 2) Human Robot Cooperation Ambient, 3) Social Human-Agent-Robots Teams Collaboration and 4) Open Access Network Portal. In order to facilitate the assessment of the performance, transferability, scalability and large-scale deployment of these solutions, the demonstrations will be conducted under real operational environments in four pilot involving key manufacturing sectors - Furniture (ES), Food/Beverage (GR), Built-in Appliances (TR) and Electronics (PL) -, plus one generic demonstration facility (AT). The project is not just aiming at quantitative improvements in a specific sector, but to use technology innovation to support a change of paradigm where AI, robotics and Social Sciences and Humanities (SSH) integrated in the manufacturing domain for the improvement of flexible production processes, become a feasible and widespread alternative for European factories, especially SMEs. To achieve this, the project relies on a strong consortium of 25 partners from 12 countries including international cooperation with Korea. The consortium brings together all the actors of the Human Robot Collaboration (HRC) value chain including relevant competence centres, technology providers, equipment providers, integrators, and manufacturers/end users; and involves key expert partners in SSH, standardisation, exploitation, and dissemination.

Keywords: human robot collaboration,ai,robotics,reasoning acting and control,collaborative ambient,flexible production,social sciences and humanities,programming by demonstration,open access network
Deciphering co-translational protein folding, assembly and quality control pathways, in health and disease (RiboFriend)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Molecules of Life: B iological  Mechanisms , Structures  and Functions
Panel description: For all organisms : Molecular biology , biochemistry, structural biology, molecular biophysics , synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-04-01
End date: 2027-03-31
Duration (months): 60.0
Total project cost (EUR): 1412500.0
EU funding (EUR): 1412500.0
Participants: 1
Project status: SIGNED

The majority of cellular proteins do not function alone; rather acting together to achieve concerted functions. Despite the prevalence of protein complexes, little is known of the mechanisms that ensure their correct folding and assembly in the crowded cytoplasm. The importance of the folding challenge is underscored by the growing number of misfolding diseases, often characterized by aggregation of lonely, unassembled protein-subunits. At the critical intersection of synthesis and folding, the ribosome is emerging as a hub, guiding the polypeptide-chain interactions with targeting factors, modifying enzymes and folding chaperones. We have recently discovered that even the final step of folding, the assembly into complexes, is coordinated with translation. To capture co-translational events, in vivo, we developed a ribosome profiling approach. This approach revealed that emerging polypeptide-chains are constantly engaged by their partner subunits, protecting them from misfolding (Shiber et al., Nature 2018). However the mechanisms regulating co-translational assembly pathways remain largely obscure. In this proposal, we aim to elucidate co-translational protein folding and degradation mechanisms, in health and disease. We will: (i) Identify and characterize novel co-translational degradation pathways, by targeting ribosomes synthesizing misfolding-prone subunits. (ii) Elucidate the conformational, energetic and kinetic parameters directing folding and assembly, at the atomic level, by molecular dynamics (iii) Develop RiboFriend a single-molecule in vivo approach to elucidate the interplay of chaperones, degradation and assembly factors, during synthesis. Our collective preliminary results strongly support the feasibility of this proposal. The ability to capture co-translational folding and misfolding pathways, in single-molecule resolution can revolutionize our understanding of conformational diseases and the aging process, opening new horizons for therapy.

Keywords: ribosome,co translational interactions,folding,misfolding,quality control,nascent chains,single molecule sequencing,nanopore,molecular dynamics,interface
The Electrophysiological Landscape of Dreams (Dreamscape)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1748906.0
EU funding (EUR): 1748906.0
Participants: 1
Project status: SIGNED

Why and how do we dream? Although this question has fascinated humankind since the earliest ages, it remains largely unanswered. Each night, when we fall asleep, we progressively disengage from the external world until we cease to perceive it and to act upon it. Despite this sensorimotor disconnection, in our dreams we perceive and act, and although we do so in a purely imaginary world, our experiences bear so much resemblance with the real world that we almost invariably take them for real. How does the brain create such a real-world analogue, and why? Based on my previous work, in which I identified a neural signature of dreaming, I propose to answer this question by studying a set of electroencephalographic (EEG) potentials, which not only occur spontaneously during sleep, but in a similar form also during wakefulness, as part of reactions to unexpected environmental stimuli. The overarching objective of this proposal is to understand the precise role of these brain potentials in the generation of dreams. Specifically, I will 1) provide a systematic characterization of these potentials in the sleeping and waking brain, 2) clarify their relation to arousal systems, 3) assess how they relate to sensory and motor features of dreams and 4) manipulate them to causally affect dreams. To achieve these aims, I will employ a unique combination of cutting-edge experimental approaches, including 256-channel-high-density EEG sleep recordings combined with controlled sensory stimulations, serial awakening paradigms, pharmacological manipulations, closed-loop acoustic slow wave modulation and movement analyses in neurological patients who act out their dreams. These projects will contribute to the basic understanding of how and why we dream, with implications for the fields of consciousness, neuroscience and neuropsychiatry. They will also provide technological and pharmacological tools to manipulate sleep and dreams, with clinical relevance for patients with sleep disorders.

Keywords: dream,sleep,electroencephalography,neurophysiology
group-IV LASer and deTectors on Si-TEchnology Platform (LASTSTEP)

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
Partnership: Photonics (co-programmed)
Countries involved: France,Germany,Italy,Spain,United Kingdom
Call: Advanced Photonic Integrated Circuits (Photonics Partnership) (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 4181092.75
EU funding (EUR): 4181092.0
Participants: 9
Project status: SIGNED

Photonics plays a key role in many applications, such as a detection of environmental or toxic gases, analyses of food or health-related products. Those applications depend on the development of highly advanced photonic components working in the mid-infrared (MIR) wavelength range. These components have always been difficult and expensive to make, as they are not compatible with standard microelectronic or photonic fabrication processes. LASTSTEP ambitions to address this issue by developing the world-first all-Group-IV photonic platform using silicon-germanium-tin alloys (SiGeSn). Focusing on the MIR 2-5 µm region essential for sensing of chemical species, the project aims to ensure a wide scale adoption of the developed technology by offering a fully monolithic solution compatible with standard state-of-the-art 200mm CMOS manufacturing processes. The approach will enable cost-effective solutions for sensing, but also for autonomous navigation or consumer products. To achieve this objective, LASTSTEP gathers a world class consortium composed of 3 academic partners, 2 RTOs and 3 industrials. The partners are: -leaders of a CMOS compatible technology for growth and processing of GeSn direct bandgap alloys in an industry-relevant environment - two SMEs well-established on the markets of gas and liquid sensing - world leading PIC design and test-house company to ensure further exploitation of results. LASTSTEP will develop four prototypes based on the fully-group-IV photonic platform for two use-cases. Prototypes will first be assembled from discrete components, then integrated on PICs. LASTSTEP aims to secure for Europe an outstanding position in development and economic exploitation of Si photonics, thereby anticipating maximal return on investment for the EU society. LASTSTEP will bring the decisive further development of Si photonics into a technologically mature MIR platform ready for innovations in the communications, sensing, health, food and safety sector.

Keywords: group iv photonic platform,cmos compatible light sources and photodetectors,mid infrared range led,photodetectors,pds and apds,electrically pumped gesn laser,oil and ch4 gas sensing
(Re)Connecting Maritime Ecosystems: Geospatial Mapping of the ‘Spaces of Flows’ in Port-City Regions (RePortFlows)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2024-10-31
Duration (months): 24.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: CLOSED

How can policy tools and actions facilitate the sustainable development of the port-city regions to mitigate negative externalities of port activities, improve logistics efficiency, and help a more sustainable integration of the port in the hinterland and urbanised spaces, also considering the aftermath of the Covid-19 pandemic? The worldwide shock of the 2020 Beirut Blast has directed public attention towards the challenges of the close relationship between ports, maritime-related activities, and their cities and regions. Abundant literature already exists on port geography and port city development. Yet, the question of facilitating sustainable port expansion and city development in a limited space remains unanswered. We need more in-depth exploration of how global flows running through ports reshape the built environment. In the RePortFlows project, the definition of the ‘port-city-region’ is inspired by considering cities and regions as, constantly, dependant on and composed of complex networks, large associations, and identities, rather than fixed spatial territories marked by clear margins. Considering the current challenges, such as globalisation, climate change, migration, digitalisation, and the pandemic, I will investigate the spatial planning, transport and sustainability-related issues and questions in Rotterdam and Genoa. I will use interdisciplinary and context-specific definitions and typologies, moving beyond traditional port-city studies (WP1 Glossary and taxonomy). I will apply multi-method and data-driven approaches to map and analyse the ‘spaces of flows’, generated by flows from the sea to the hinterland and vice versa (WP2 Atlas). I will propose tailored policy tools to integrate the transport and socio-economic potentials with the spatial and social realities (WP3 Toolbox). The outcomes of this research will be communicated and disseminated, supporting open science practices (WP4).

Keywords: maritime transport and port logistics activities
Next Generation of Trustworthy Agri-Data Management (Entrust)

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: Ireland,Italy,Greece,Sweden,Switzerland
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): 3128915.31
EU funding (EUR): 2686053.6
Participants: 18
Project status: SIGNED

ENTRUST brings together 16 leading research institutions and enterprise from 5 different countries across Europe to establish a Doctoral Network that will train a cohort of 11 Doctoral Researchers (DRs) in an intersectoral, international and interdisciplinary setting with the aim to establish a new generation of Data Executives. These graduates will have obtained a PhD and are able to take on leading roles in academia, industry or policy sector. They will be experts on agri-data governance sharing data in a fair, transparent, and trusted environment. ENTRUST demonstrate how agri-data from farmers can be made available, governed, and exploited, with benefits shared in a fair way. ENTRUST will enable DRs to excel in their future career perspectives in the intersection between computing, information systems and social science and thus, provide the DRs with enhanced career perspectives, combined with an innovation-oriented mind-set and creativity, thereby forming a new generation of Data Executives. ENTRUST provides the foundation for doctoral training programme on agri-data governance that will set a standard on including gender dimension and sustainability aspects within PhD training. Entrust also addresses current challenges of data governance in agriculture and farming and will provide scientific results on (1) adoption factors of Data Technologies to allow farmers to unlock data potential, (2) on enhanced Data Governance practices to ensure a fair and trustworthy agri-data space and (3) on new types of innovative Business models for fair value sharing. This is combined with network training and research and outreach to maximise the project impact. Entrust provides input in science, data governance and agricultural and many other sectors. Entrust supports the European Data Strategy foreseeing European Data Spaces as the key instrument to democratize the access to data and unlock its full value, in particular for the agri-food sector.

Keywords: data governance,agri data,data exploitation,business model innovation,data value
Cogniphant AI-driven ADHD detection & support for schools (Cogniphant Proposal)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Spain
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 316290.0
EU funding (EUR): 316290.0
Participants: 1
Project status: SIGNED

Cogniphant is pioneering an AI-driven solution to revolutionize the detection and support of Attention Deficit Hyperactivity Disorder (ADHD) in K-12 schools. Leveraging advanced machine learning algorithms, our tool provides a scalable, precise, and cost-effective platform for early ADHD identification. By analyzing behavioral and cognitive patterns, we ensure timely intervention, allowing students to receive the support they need before their academic performance and well-being are compromised. Unlike traditional diagnostic methods that are often time-consuming and inaccessible, Cogniphant offers an affordable, easy-to-integrate tool that can be implemented directly within classrooms. Our vision is to transform ADHD management in education by embedding early detection into the fabric of school systems, empowering teachers, parents, and administrators with the resources and training necessary to support neurodiverse students. Cogniphant’s pilot programs in Colombia have demonstrated high engagement, with 96% parental consent, and a 10% identification rate of potential ADHD symptoms among students. These results underscore the significant demand for scalable ADHD support solutions in schools. With EIC funding, Cogniphant will enhance its machine learning capabilities, automate the tool, and meet European regulatory standards, enabling a broader rollout across Europe. By providing early, accessible ADHD detection, we contribute to EU’s goals of inclusive education and improved mental health outcomes, aligning with key Sustainable Development Goals (SDGs). Cogniphant aims to reduce educational inequalities and foster an inclusive environment, ensuring that no student is left behind due to undiagnosed ADHD.

Keywords: ai driven adhd screening,machine learning,inclusive education,early intervention,mental health support,neurodiversity,k 12 schools,scalable solution,educational equity,cognitive assessments
Future feeds for sustainability in European livestock production (FEATURE)

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: Environment and Geosciences
Countries involved: United Kingdom,Belgium,Ireland,Spain,Slovenia,Italy,Netherlands
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 3992678.64
EU funding (EUR): 3992678.64
Participants: 18
Project status: SIGNED

The FEATURE doctoral network will train doctoral candidates (DCs) in international interdisciplinary research methodologies to assess the potential of using alternative feeds (forages, food-industry by-products, insects), that are locally growing or available in different European climates, and support transition to more sustainable, circular and resilient livestock systems, aligning with environmental and economic targets and consumer demands. The 13 DC projects will explore alternative feeds’ nutritive value and the effect of integrating them in livestock diets on animal productivity, efficiency; methane emissions and nitrogen outputs; food nutritional quality and flavour/taste; and supply-chain environmental footprint and socioeconomic implications. Multi-omics techniques and bioinformatics will be utilized to understand the role of gut ecology and host metabolism on the observed outcomes. FEATURE will co-create, via dedicated DC programmes and in collaboration with the industry partners, adoption pathways and policies for the sustainable integration of alternative feeds in European livestock value chains. The consortium involves 6 academic institutes, 4 research organisations, 7 industry partners, and 17 gender-balanced named supervisors across 7 countries. DC’s training involves secondments at industry partners for industry data collection/analysis for environmental and socioeconomic evaluations. DC’s will have access to personalised development plans, four consortium-wide training schools, skills workshops, secondments, and engagement activities to enhance their scientific knowledge, personal, soft, entrepreneurial and communications skills and support their transition to leaders in academia and industry. This expertise is crucial for bolstering the sustainability, circularity and resilience of European food systems through the adoption of practices that produce healthy, affordable and safe animal-derived foods.

Keywords: livestock,sustainability,milk,cheese,meat,rumen,gut microbiome,cows,beef,sheep,goats,pigs,chicken,greenhouse gas emissions,methane,nitrogen,life cycle assessment,farm to fork