Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Innovative energy storage technologies for the Internet of Things (IoT-CAP)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: other EIC
Destination: Other destinations
Action type: Coordination and support actions
Countries involved: Portugal
Call: EIC Booster grant for EIC Pathfinder and EIC Transition grants (HORIZON-EIC-2024-BOOSTER-IBA-01, 2024)
Start date: 2024-10-01
End date: 2025-09-30
Duration (months): 12.0
Total project cost (EUR): 71428.57
EU funding (EUR): 50000.0
Participants: 1
Project status: SIGNED

At the core of the ongoing transformation of technology and energy systems lies the Internet of Things (IoT), a network of interconnected devices capable of collecting and exchanging data with unprecedented efficiency and precision. In this project we aim to develop two different experimental approaches to expand the knowledge gained from the P.CAP project. To develop prismatic supercapacitor cells, using our know-how on coating carbon electrodes for supercapacitors; and to develop planar capacitor cells with Relaxor Ferroelectric (RFE) materials making use of the techniques develop during P.CAP for the manufacturing of planar electrochemical cells. The project will have a strong focus on benchmarking technologies with commercial cells, market competitiveness analysis, preliminary IP landscape, unique value proposition, preliminary budget estimation for scale-up, all of which will be compiled in a business case.
Human-based methodologies to study toxicity of food nanoparticles on fatty liver diseases via the microbiota-bile acid axis. (nanoBASH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Daily ingestion of nanoparticles (NPs) is inevitable due to their wide use by the food sector, some as bactericidal agents. But their antimicrobial effects towards our gut bacteria remain largely unknown. While some studies investigated their impact on microbial composition, very few explored microbial functional changes and significance for host health. It is alarming that our gut microbiome, unanimously recognized as central in many diseases, is currently overlooked in nanotoxicology. Among key roles of microbiota, we and others underlined that secondary bile acids (BA), generated by the gut bacteria, regulate inflammation in the liver by interacting with host receptors. We showed in mice that altered BA pool in the portal blood, connecting the gut to the liver, exacerbated chronic fatty liver disease, an increasingly prevalent disorder representing a major unmet medical need. Assembling the two puzzle pieces, I was the first to explore the impact of some food NPs on fatty liver diseases via the microbiota-BA axis in mice. But BA metabolism differs between species stressing the need to rely on human data. The current knowledge gaps on microbial BA metabolism, the inaccessibility of the portal blood and the challenges in testing NPs ex vivo hamper such study in fatty liver disease patients. Drawing on promising preliminary data and using human-based methodologies, I aim to timely elucidate if microbial BA dysmetabolism and resulting altered portal BA pool drives fatty liver diseases and if ingestion of food NPs contribute to fatty liver diseases via this microbiota-BA axis. I anticipate that the new approach methodologies and mechanistic knowledge derived from this proposal will offer the scientific community a toolbox towards ‘precision toxicology’ to assess potential toxicity of food NPs (and other food chemicals) on microbiota-BA-liver axis in humans, supporting the necessary implementation of preventive actions at both the individual and population level.

Keywords: nanoparticles,adverse outcome pathway,bile acids,fatty liver diseases
A coherent approach to analysing heterogeneity in network data (NETWORK)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 966000.0
EU funding (EUR): 966000.0
Participants: 4
Project status: SIGNED

The overarching goal of this project is to develop a coherent set of econometric methods to deal with unobserved heterogeneity in the analysis of social interactions between agents. Such heterogeneity is well recognized to be important. It is often of great interest to document the degree of heterogeneity, evaluate its impact, and uncover the existence and form of any complementarities that may exist between agents. With the growing availability of network data, questions of this kind are increasingly being asked in applied work. The development of appropriate econometric tools to answer them has, however, not followed suit. If anything, recent theoretical work has pointed at substantial difficulties with the so called fixed-effect approach currently serving as the workhorse tool. This project recognizes the potential of taking a random-effect view. For settings where agents interact in pairs, such a view has received some attention in the literature. However, to date, it struggles with issues of identification, estimation, and computation. We will develop a new nonparametric approach that provides a solution to each of these three issues. We will next venture forward and extend this framework to situations where agents interact in larger groups. Both collaborative and non-collaborative settings will be considered, thereby covering team production, competition, and peer effects. Special attention will be given to recovering treatment effects in the presence of social interactions, where interference on unobservable confounders is an issue. For situations where data limitations prevent a fully nonparametric approach, instrumental-variable methods that build on flexible functional form restrictions will be developed. The statistical properties of the proposed estimators will be derived, software implementation will be provided, and empirical illustrations will be presented to highlight the usefulness of the methods.

Keywords: complementarity,heterogeneity,identification,inference,matching,network,teams,peer effects
Enhancing Social Innovation in Rural Areas (ESIRA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Resilient, inclusive, healthy and green rural, coastal and urban communities
Action type: Research and Innovation actions
Countries involved: Spain,Hungary,Serbia,Poland,Lithuania,Italy,Norway,France
Call: Enhancing social inclusion in rural areas: focus on people in a vulnerable situation and social economy (HORIZON-CL6-2023-COMMUNITIES-01, 2023)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 4499840.0
EU funding (EUR): 4499840.0
Participants: 15
Project status: SIGNED

ESIRA acknowledges that innovative social economy initiatives, focusing on local networks, competences, and resources, are able to recognise the important role of citizen-led activities to fulfil the needs of rural areas, especially marginalised ones. Nevertheless, many policies and initiatives fail to effectively support them and/or engage the more vulnerable groups of population. The main objective of ESIRA is to contribute to the rollout of place-based innovative social economy initiatives for rural inclusion and development in (marginalised) rural areas by supporting enabling frameworks, well-interconnected policy architecture and directly piloting innovative solutions which ultimately build more inclusive, resilient and prosperous rural areas. To achieve it, ESIRA will implement a work plan focused on (i) the research of community-led rural innovation spaces able to connect and empower actors, reinforce the social capital and sense of community, considering the great diversity of rural areas within Europe, and eventually (ii) nurturing and piloting social economy initiatives that strengthen the inclusiveness and living conditions of different groups of population in vulnerable situation, from the improvement in the provision of (social) services, economic diversification, and sustainable management of the natural capital. This will enable to (iii) stocktake and formulate recommendations for policymakers to better support the third sector and local communities, increasing the understanding of the needs and challenges of vulnerable groups of population and social economy, and (iv) boost the knowledge-exchange among local actors, building up their capacities and facilitating the scale up and replication of social economy initiatives across Rural Europe. 9 regions in 7 European countries will be involved in the project. The exploitation and dissemination activities will aim at expanding those regional spaces and replicating our concept in new regions.

Keywords: social economy,social innovation,rural development,place based innovation,rural pact
Supporting regional environmental sustainability assessment for the BIO-based sectors to improve INnovation, INdustries and INclusivity in SOUTH Europe (BioINSouth)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Coordination and support actions
Partnership: CBE (JU-JTI)
Countries involved: Italy,France,Spain,Türkiye,Cyprus,Czechia,Greece,Slovenia,Portugal
Call: Supporting the capacity of regions in environmental sustainability assessment for the bio-based sectors (HORIZON-JU-CBE-2023, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 2999195.0
EU funding (EUR): 2999195.0
Participants: 15
Project status: SIGNED

The BioINSouth project aims to support decision-makers to incorporate considerations of ecological limits into their regional bioeconomy strategies and roadmaps, when it comes to circular bio-based activities. The project aims to develop guidelines and digital tools, considering the safe and sustainable by design (SSbD) assessment framework, to support the adoption of innovative methodologies to assess environmental impacts in multiple industrial bio-based systems, increasing regional competitiveness and innovation capacity, and contributing to the EU fair & green transition. The project will focus on Southern Mediterranean European Regions with particular attention to regions currently lagging behind, i.e. regions in widening Countries, such as Cyprus, Slovenia, Greece, and Portugal, while the project will see the wider participation of other Southern Mediterranean Countries, including Spain, France and Italy and international cooperation with Turkey and Argentina (in the advisory board). Thanks to the experience of the BIOEAST initiative that BIOEAST HUB CZ brings in, BioINSouth will reach the main objective by establishing regional HUBs bringing together a broad range of stakeholders, including policymakers and public authorities, expert voices, market actors (especially SMEs) and civil society (especially NGOs). The methodology will also seek the collaboration and exchange of best practices among the HUBs within a macro-regional BioINSouth Network and with international organisations. The concept will be demonstrated in 8 regions in the partners’ Countries, under a fully transferable case-study approach, that can be replicated throughout other Southern European Regions after the end of the project.

Keywords: regional bioeconomy strategies safe and sustainable by design,southern europe,sustainability and circularity assessment multi actor approach
Augmented Intelligence for Pedagogically Sustained Training and Education (augMENTOR)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Luxembourg,Greece,Cyprus,Germany,Ireland,Serbia,Lithuania,Austria,United Kingdom,France
Call: Integration of emerging new technologies into education and training (HORIZON-CL2-2021-TRANSFORMATIONS-01, 2021)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 2779937.5
EU funding (EUR): 2779937.5
Participants: 14
Project status: SIGNED

AUGMENTOR aims to develop a novel pedagogical framework that promotes both basic skills and 21st century competencies by integrating emerging technologies. This framework will be supported by an open access AI-boosted toolkit that builds on the strengths of big data and learning analytics to provide different types of stakeholders with explainable recommendations for smart search and identification of educational resources, as well as for designing personalized learning profiles that take into account individual actors’ characteristics, needs, and preferences. The overall approach foreseen is innovative, based on appropriately structured data that capture the stakeholders’ learning paths, promote informed and well-justified interaction, and advance critical thinking. AUGMENTOR will leverage advancements in the fields of Pedagogical Design, Creative Pedagogy, Explainable Artificial Intelligence, and Knowledge Representation and Reasoning for instructional purposes. We will meaningfully integrate pedagogical approaches with AI-based software solutions to enable a rich collaboration among all chain’s actors from students to teachers and policy makers. Our goal is to provide guidelines to stakeholders on how to address potential underlying educational difficulties and disabilities, shape individual learning paths, or identify cases of gifted and talented students, to enable them to reach their full potential. AUGMENTOR will enhance trust and transparency, and trigger constructive reflection in both tutoring and pedagogical policy making. The project keeps a strategic balance between the pedagogical and technological dimensions of teaching and learning. At the same time, it contributes equally to the concepts of individual and organizational learning, considering them as interdependent processes. The foreseen solution will be thoroughly deployed and validated in a series of real pilots representing diverse educational and training settings to define best practices.

Keywords: augmented intelligence,personalised learning,collaborative learning,higher order thinking skills,21st century competencies,artificial intelligence,knowledge graph
Deep brain stimulation based on the wireless magnetically localised and ultrasonically actuated micro-robot (DBSBOT)

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: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

The application of deep brain stimulation (DBS) is a significant neurosurgical breakthrough that allows targeted circuited-based neuromodulation, which can directly measure pathological brain activity and deliver adjustable stimulation for the management of neurological and psychiatric disorders correlated with dysfunctional circuitry. Traditional DBS systems, as the standard of care in Parkinson's disease, essential tremor and dystonia, are developed based on the cardiac field, including an intracranial electrode, an extension wire and a pulse generator, with advances in engineering and imaging technologies in the past two decades. However, these devices are typically centimetre-scale, which increases the risk of haemorrhage, infection and damage during the treatments. Instead, the small and remotely powered systems may result in less invasive neuromodulation. Therefore, the proposed research aims to develop a novel micro-robot that can implement deep brain stimulation by using the piezoelectric effect induced by ultrasound stimulation in the cerebral spinal fluid. The proposed biocompatible robot can achieve less invasive neuromodulation and precise positioning by using the wireless external magnetic field.

Keywords: deep brain stimulation,biomedical engineering,micro robot,ultrasound stimulation,piezoelectrics,magnetically actuation
Social Innovation Responsive Environments NETwork (SIRENE)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Portugal,Netherlands,Ireland,Italy,Spain
Call: Integration of social innovation actors in innovation ecosystems (HORIZON-EIE-2022-CONNECT-01, 2022)
Start date: 2022-11-01
End date: 2024-10-31
Duration (months): 24.0
Total project cost (EUR): 622672.76
EU funding (EUR): 499893.18
Participants: 6
Project status: CLOSED

The main aim of the SIRENE proposal is to support the growth of social innovation ecosystems delivering eco-friendly and sustainable community-based services for SHAFE (Smart Healthy Age-Friendly Environments) implementation in Europe, by providing a workable framework for investment and the broad adoption of high-quality smart living solutions, combining the housing sector and ICT infrastructure. There have been several initiatives and previous CSAs aiming to promote innovation and support stakeholders to increase investments in relevant societal areas, often providing support measures to different actors such as webinars, trainings, workshops, twinnings. However, their impact usually runs shorter than desirable in the mid- and long-term. SIRENE identifies a diverse approach: connect stakeholders by having them working together towards a Social Innovation framework and supporting tools, claiming that this joint collaborative and co-creative work will: • Increase awareness of innovation actors on social innovation concepts, methods and he skills to leverage them. • Make social entrepreneurs aware of potential business opportunities, funding and investment around SHAFE. • Create alliances and synergies between different stakeholders within ecosystems and between ecosystems. • Ensure that business actors have access to social innovation and entrepreneurial knowledge. • Unleash the potential of social innovation ecosystems on SHAFE. The desired impact of the SIRENE proposal is to improve the wellbeing and housing conditions of the European population by empowering social and private entrepreneurs. SIRENE leverages on the networks and outcomes of the SHAFE Network and the COST Action19136 NET4Age-Friendly (SHINE and AFE coordination) the ECTP and Homes4Life (Tecnalia), the Thematic Inovation Ecosystem on Housing and Health (ECHA and ISRAA), as well as the European Reference Framework on Smart Age-Friendly Housing, the Green Deal and H2020/HE ICT funded projects.

Keywords: market creating innovation entrepreneurship inclusive environments innovation ecosystems
Decentralized Edge Intelligence: Advancing Trust, Safety, and Sustainability in Europe (EdgeAI-Trust)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Chips for Europe Initiative
Action type: Innovation actions
Partnership: CHIPS (JU-JTI)
Countries involved: Germany,Austria,France,Italy,Spain,Denmark,Belgium,Türkiye,Greece,Latvia,Cyprus,Slovenia,Switzerland
Call: Focus topic on Integration of trustworthy Edge AI technologies in complex heterogeneous components and systems (IA) (HORIZON-KDT-JU-2023-1-IA, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 38208291.25
EU funding (EUR): 11006209.35
Participants: 53
Project status: SIGNED

EdgeAI-trust aims to develop a domain-independent architecture for decentralized edge AI along with HW/SW edge AI solutions and tools, which enable fully collaborative AI and learning at the edge. The edge AI technologies address key challenges faced by Europe's industrial and societal sectors such energy efficiency, system complexity and sustainability. EdgeAI-trust will enable large-scale edge AI solutions that enable interoperability, upgradeability, reliability, safety, security and societal acceptance with a focus on explainability and robustness. Toolchains will provide standardized interfaces for developing, optimizing and validating edge AI solutions in heterogeneous systems. The generic results will be instantiated for automated vehicles, production and agriculture, thus offering innovation potential not only in the generic HW/SW technologies and tools, but also in the three target domains. These technological innovations are complemented with business strategies and community building, ensuring the widespread uptake of the innovations in Europe. EdgeAI-trust will establish sustainable impact by building open edge AI platforms and ecosystems, with a focus on standardization, supply chain integrity, environmental impact, benchmarking frameworks, and support for open-source solutions. The consortium consists of major suppliers and OEMs encompassing a broad range of application domains, supported by leading research and academic organizations. By embracing the opportunity to specialize in Edge AI, Europe can maintain its position in the global context, especially as it aligns with decentralized and privacy-driven European policy. Furthermore, as AI is closely connected with the Green Deal, this project can provide proper solutions for environmental issues. Ultimately, the project will enable AI to be connected with other strong sectors and industries, improving the innovation process and decision-making in Europe.

Keywords: decentralized edgeai,trust,safety,sustainability,green deal,ai