Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Open Innovation Test Bed for Electrolysis Materials for Clean Hydrogen Production (CLEANHYPRO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Innovation actions
Countries involved: Spain,Italy,Netherlands,France,Finland,Germany,Portugal,Norway,Ireland,Belgium,Estonia
Call: Climate Neutral and Circular Innovative Materials Technologies Open Innovation Test Beds (IA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 13777356.75
EU funding (EUR): 11721891.13
Participants: 34
Project status: SIGNED

CLEANHYPRO gathers some of the most recognised experts in Europe on the electrolysis field for clean hydrogen production and acknowledged facilitators of technology transfer, corporate finance, funding and coaching, making available (i) the most promising and breakthrough manufacturing pilots and (ii) advanced characterization techniques and modelling together with (iii) non-technical services through this Test Bed: while relevant improvement metrics can be defined, the potential network of reachable stakeholders counts thousands of businesses on an international scale. Key facts are reported below. Within the scope of CLEANHYPRO, several circular innovative materials and key components, four main electrolysis technologies and geometries will be covered, providing for the first time a single entry point for industrial partners, mainly SMEs, aspiring to answer their concerns but with minimum investment costs and reduction of risks associated with technology transfer, while opening-up opportunities for demonstration of materials and components (TRL7) and thus faster opening the market for these new products. The main KPIs for CLEANHYPRO: Technical: >20% cell productivity improvement, 30% faster verification, 27-58% and 22-79% cost reduction of technologies in CAPEX and OPEX respectively, 3-9% efficiency enhancement. Non-Technical: 4 Showcases, 4 certification schemes, ≥16 Democases, >100 reachable SMEs and > 300 reachable investors. INNOMEM stems from the consideration that the development of products based on key materials and components for electrolysis require access to finance and an optimised business planning, relying on a sound prior analysis of the market, of the economic impacts and capacity of a company. The project aims at developing and organizing a sustainable Open Innovation Test Bed (OITB) for electrolysis materials and components for different applications. The OITB will also offer a network of facilities and services through a SEP to companies.

Keywords: circular innovative materials for electrolysis technologies,clean hydrogen production,pilot lines for manufacturing and testing,advanced characterization and modelling
Nanoengineered particles for enhanced cancer radiotherapy (ENCANT)

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: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-01-01
End date: 2026-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: SIGNED

Current cancer research efforts are focused on obtaining targeted therapies, with greater precision, that lead to improved patient survival, with fewer adverse effects to ensure a better quality of life. ENCANT (nanoengineered particles for ENhanced CANcer radioTherapy) will contribute to this aim by developing new therapeutic agents based on biocompatible nanoparticles bearing high atomic number (Z) elements, which will enhance external beam radiotherapy (EBRT) effect on cancer tissue. This will allow the use of a lower radiation dose, consequently lowering adverse effects related to radiotherapy lack of specificity. The physicochemical properties of the NPs can be rationally designed according to different needs. NPs will be functionalized to increase their blood circulation time and facilitate their accumulation in the tumoural tissue. NPs will be tested in vivo to describe toxicity ranges, targeting efficiency and their therapeutic effect with external beam radiotherapy using in vivo cancer models. ENCANT will initially focus on high-Z NPs for prostate cancer (PC). Nevertheless, their adaptability should allow to use them for other tumour types, thus expanding their range of application. ENCANT aims to improve and expand oncology treatment options available to cancer patients thus providing them a more personalized treatment.

Keywords: nanoparticles biomedicine prostate cancer external beam radiation therapy ebrt radioenhancers
European Researchers' Night and Researchers at Schools ISRAEL 2024-2025 (ERNI2024)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: European Researchers' Night
Action type: Coordination and support actions
Countries involved: Israel
Call: European Researchers' Night and Researchers at Schools 2024-2025 (HORIZON-MSCA-2023-CITIZENS-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 311530.14
EU funding (EUR): 297596.0
Participants: 9
Project status: SIGNED

The public nationwide, especially youngsters, will meet researchers and experience research inside and outside campuses, peripheral and central cities, Arabic-speaking and Hebrew-speaking communities, informal festivity settings, and schools. It will allow discussions at eye level between researchers and kids, teens, and adults alike. Discussions about their common hobbies, accomplishments, curiosity, and the science in between. The public loves it, and the researchers love it (measured over our ERNIs since 2005). We have a well-trained consortium running since 2005, operating a very appreciated ERNI project with an excellent reputation. We have the Ministry of Innovation, Science and Technology support in funding the awareness campaign and in professional personnel, as well as full involvement of the EU embassy in Tel Aviv.

Keywords: researchers,night,schools
Programming Platform for Intelligent Collaborative Deployments over Heterogeneous Edge-IoT Environments (P2CODE)

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: Research and Innovation actions
Countries involved: Luxembourg,Israel,Germany,Romania,Greece,Italy,Cyprus,Bulgaria,United Kingdom,Switzerland,Ireland
Call: Programming tools for decentralised intelligence and swarms (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 7153035.38
EU funding (EUR): 7153035.38
Participants: 23
Project status: SIGNED

P2CODE envisions the design and development of an open platform for the deployment and dynamic management of end user applications, over distributed, heterogeneous and trusted IoT-Edge node infrastructures, with enhanced programmability features and tools at both the network infrastructure level and the service design and operational level. The platform is implemented following three innovative design approaches: i) The deployment and management of the applications is conducted by an orchestration framework that follows a vertical layered approach from the end user interface to the infrastructure management while spanning horizontally across the device-edge-core-cloud continuum. The deployment follows the user-defined networking and operational features of the application in its northbound interface and a tight integration with state-of-the-art IoT, edge/cloud computing, and networking platforms in its southbound interface through a well-define driver API framework. With this approach the full programmability and reconfigurability of resources across the continuum is enabled. ii) An open and extensible, programming toolset facilitates application development and deployment for large swarms of devices at the edge through a multi-role Internal Developer Platform (IDP) and new feature development and testing, iii) A secure and trusted framework for registering and authenticating IoT device and edge nodes entering the system as well as the data sharing and application deployment. The concept is tested and validated over a mature testing environment that integrates diverse IoT application areas in smart logistics, manufacturing, utility inspection, and community PPDR over a programable infrastructure extended to O-RAN, 5G, SDN enable core Cloud. The consortium addresses all the required development sectors from the platform technology innovations, to supported IoT infrastructure and applications, including the end user interfacing and resource management intelligence.

Keywords: cloud native programming,programming environment,heterogeneous edge iot infrastructures
Quality Control of the Mitochondrial Gene Expression System in Health and Disease (MITGEST)

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: Chemistry
Countries involved: Netherlands,Poland,Sweden,Spain,Italy,United Kingdom,Israel,Germany,Switzerland
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-10-01
End date: 2027-01-31
Duration (months): 52.0
Total project cost (EUR): 2785888.8
EU funding (EUR): 2557900.8
Participants: 26
Project status: SIGNED

Mitochondria produce most of the energy the body acquires through food, and are thus pivotal players in cellular metabolism. Central to mitochondrial biology is the DNA in the organelle (mtDNA): its maintenance, correct RNA processing, and efficient translation are all essential and must be coordinated to ensure proper mitochondrial function and cellular physiology. Defective maintenance or expression of mtDNA alters energy and nutrient metabolism, which are increasingly recognized to impact medical disciplines, ranging from hundreds of genetic disorders to neurodegeneration, immunology, transmissible disease, cancer and ageing. A deep understanding of the mitochondrial gene expression system and new methods are urgently needed to develop treatments for the full panoply of mitochondrial disorders that feature mtDNA perturbation. MITGEST will unite world-class academic excellence in mtDNA maintenance and expression with private sector expertise in nucleic acid chemistry and the development of mitochondrial therapeutics to address this urgent need. As the first research training programme in this field to take a fully integrated approach, our 10 doctoral candidates (DC) will elucidate how mtDNA is maintained and expressed and support the development of new methods to analyse RNA and DNA metabolism in mitochondria. These advances will complement and facilitate/enhance innovative treatment strategies and experimental medicine studies designed to mitigate mitochondrial dysfunction in a range of human diseases. Our network of 7 beneficiaries and 12 associated partners from 8 European countries and Israel builds on proven collaborations and establishes new partnerships to deliver intersectoral and multidisciplinary scientific and transferable skills training to our 11 PhD students to generate the next generation of highly-skilled scientists able to exploit the latest advances in mitochondrial biology and medicine.

Keywords: mitochondria mtdna and mtrna metabolism mitochondrial translation energy and nutrient metabolism diseases mechanisms and models small molecule and nutriceutical therapies for mtdna disorders
multi-purpoSe Physical-cyber Agri-forest Drones Ecosystem for governance and environmental observation (SPADE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: Greece,Norway,Denmark,Germany,Spain,Portugal,Finland,France,Slovakia,United Kingdom
Call: Potential of drones as multi-purpose vehicle – risks and added values (HORIZON-CL6-2021-GOVERNANCE-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 5822937.5
EU funding (EUR): 5816687.5
Participants: 21
Project status: SIGNED

Τhe strategic objective of SPADE is to develop an Intelligent Ecosystem to address the multiple purposes concept in the light of deploying UAVs to promote sustainable digital services for the benefit of a large scope of various end users in the sectors of agriculture, forestry, and livestock. This includes individual UAV usability, UAV type applicability (e.g., swarm, collaborative, autonomous, tethered), UAV governance models availability and trustworthiness. Multi-purposes will be further determined in the sensing dataspace reusability based on trained AI/Machine Learning (ML) models. These will enable sustainability and resilience of the overall life cycle of developing, setting up, offering, providing, testing, validating, refining as well as enhancing digital transformations and ‘innovation building’ services in Forestry, Cropping and Livestock Farming. Pilot prototypes will contribute towards greater challenges such as deforestation, precision cropping and animal welfare. First, SPADE will create a digital platform that is able to realise the potential benefits to be reaped from the use of drones. This platform is making drone operations better accessible and controllable, as well as providing a service channel for value added services enabled by drones. Second, SPADE is demonstrating three innovative use cases of drones making use of the digital platform. While demonstrating the use cases, the benefits coming from the use of drones are analysed and quantified, on a detailed stakeholder level basis. This will demonstrate the new business opportunities. The demonstrations/pilots will also serve as an analysis platform to investigate the regulatory framework at international and national level. Open calls will provide 12 further use cases.
Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for GAia-X (OMEGA-X)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Spain,Germany,Ireland,Greece,France,Belgium,Italy,Denmark,Portugal,Serbia,Norway
Call: Establish the grounds for a common European energy data space (HORIZON-CL5-2021-D3-01, 2021)
Start date: 2022-05-01
End date: 2025-04-30
Duration (months): 36.0
Total project cost (EUR): 10223435.0
EU funding (EUR): 7995320.38
Participants: 40
Project status: CLOSED

Orchestrating an interoperable sovereign federated Multi-vector Energy data space built on open standards and ready for GAia-X The aim of OMEGA-X is to implement a data space (based on European common standards), including federated infrastructure, data marketplace and service marketplace, involving data sharing between different stakeholders and demonstrating its value for real and concrete Energy use cases and needs, while guaranteeing scalability and interoperability with other data space initiatives, not just for energy but also cross-sector. The proposed concept and architecture heavily rely on the approaches adopted by IDSA, GAIA-X, FIWARE, BDVA/DAIRO and SGAM as major EU references regarding data spaces. It will pursue the GAIA-X label, which ensures highest standards on protection, security, transparency, openess and trust, avoids vendor lock-in and restricted to EU countries. • Federated infrastructure for data ingestion. There are a lot of independent platforms for data ingestion/storage, open and private. The goal is to define the minimum interoperability and federation requirements needed for these platforms to adhere to the Energy Data Space and be able to share data in a trusted and secure way. • Data Space Marketplaces. This is the common ground where data, which is already harmonized semantically, is indexed, and referenced, maintaining always the required standards of identity, trust and sovereignty. Using the data space as baseline, a marketplace is implemented for stakeholders to share, use and monetize data and services. Data/service providers will be able to advertise their data/services, and data/service users will be able to discover multiple data sets and services. • Advanced Energy Use Case demonstration. Using all aforementioned layers underneath, 4 use cases families (Renewables, LEC, Electromobility and Flexibiilty) will showcased o prove the value of having a common data space for a particular problem identified by energy stakeholders.

Keywords: data space,interoperability,ontologies,semantics,marketplace,services,artificial intelligence,ssh,digital twins,renewables,local energy communities,flexibility,electromobility,tso dso
Stimulating Innovation eXperiments in Food prOcessing Live Demonstrators (SIXFOLD)

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: Lithuania,Belgium,Spain,Germany,Finland,Netherlands
Call: Stimulating Experimentation Practices (HORIZON-EIE-2023-CONNECT-02, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 1111226.7
EU funding (EUR): 989673.13
Participants: 6
Project status: SIGNED

SIXFOLD unites partners from the ‘Smart Sensors 4 Agri-food’ Partnership, and its network of Living Labs with a clear aim, Stimulating Innovation eXperiments in Food prOcessing Live Demonstrators. The twin transition stands at the heart of the Green Deal and Farm to Fork strategy. The agri-food sector plays a critical role in the realisation of these ambitions. The nature of deep tech innovation also shows the need for a transition via responsible regulatory frameworks. Living Labs are looking for more experimentation by engaging societal stakeholders and addressing innovation barriers experienced by agri-food companies. SIXFOLD aims to facilitate implementation of deep tech within the agri-food sector, by building a robust network of Living Labs across the EU. This network will support a dynamic and regionally embedded ecosystem thriving with deep tech innovations relevant for the agri-food industry such as AI and machine learning, robots and co-bots, biotech, etc. throughout the food system. The timing is critical for agri-food companies to experiment with innovative technologies and collaboration with deep tech innovators. SIXFOLD builds on an existing framework. Nevertheless, a careful assessment of the current state of play through interviews and study visits is made after which assessed barriers to innovation is tackled by a tailor-made co-creation process. This ensures maximum participation of external experts, regulators, and broader societal actors on regional and European levels and in turn generates a more complete and validated Action Plan adapted to real-world needs. The network of Living Labs will in this way facilitate collaborative knowledge exchange by actively engaging stakeholders from various regions and ensuring inclusivity and diversity in participation. Amongst other objectives, the updated Operational Handbook of the network of Living Labs will form the basis of a successful transition towards sustainable food systems across Europe.

Keywords: food processing,digitalization,deeptech
Equilibrium Learning, Uncertainty, and Dynamics: Novel Approaches for Analyzing Games and Automated Markets (ELUD)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance , management
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1539750.0
EU funding (EUR): 1539750.0
Participants: 1
Project status: SIGNED

Game theory is essential for studying central problems in economics and management such as auctions, contests, oligopoly, and platform competition. However, deriving equilibrium strategies in such games with incomplete information is notoriously challenging. For instance, analytical solutions are available only for simple auction models under restrictive assumptions. The lack of numerical methods for solving equilibrium problems impedes advancements in theory and practice. Building on insights from my recent research, ELUD develops online optimization and learning methods to solve equilibrium problems in single- and multi-stage Bayesian games that have previously been deemed intractable. These new methods are designed to accommodate a variety of distributional assumptions and utility functions allowing to incorporate behavioral motives and asymmetries among agents. Importantly, learning algorithms also serve as models for artificial agents in real-world agentic markets, such as those for bidding in display advertising auctions and pricing on online retail platforms. Such agents cannot play equilibrium strategies from the start, but they adapt to the market and learn profitable strategies over time. However, learning algorithms do not necessarily converge to an equilibrium in games; they can instead lead to cycles or even chaotic behavior and such phenomena have been observed experimentally in some environments. ELUD allows us to understand the properties of market models under which classes of algorithms lead to an efficient equilibrium and when they do not. This is highly ambitious because ELUD needs to develop new mathematical methods to study the constrained dynamical systems resulting from the interaction of learning algorithms. An extensive set of experiments will complement and aid the theory development. After ELUD, there will be widely applicable equilibrium solvers for important classes of games, and a theoretical framework to analyze automated markets.

Keywords: equilibrium learning,operations research