Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development of Broadly Protective Filovirus Vaccines (FILOVAX)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Other health destinations
Action type: COFUND actions
Countries involved: Norway
Call: Contribution to the Coalition for Epidemics Preparedness Initiative (CEPI) - vaccine development for priority diseases (HORIZON-HLTH-2023-CEPI-11-IBA, 2023)
Start date: 2024-05-01
End date: 2029-10-31
Duration (months): 66.0
Total project cost (EUR): 50000000.0
EU funding (EUR): 35000000.0
Participants: 1
Project status: SIGNED

The overall objective of the proposed broadly protective Filovirus vaccine project is to leverage co-funding from the European Commission to support the development of vaccines that will protect against a range of Filoviruses. Within this viral family, Ebolaviruses and Marburgvirus are endemic to West and Central Africa and cause frequent unpredictable outbreaks of varying size and duration. These outbreaks have significant health and societal impacts on populations in the endemic regions. In order to better prepare for future outbreaks of Zaire ebolavirus and other Filoviruses, it is necessary to develop tools to preventively vaccinate at-risk populations, such as health-care workers, in endemic regions. The impact of such preventive vaccinations would be greatest if the vaccines protected against a broad range of Filoviruses that emerge in those regions. This project therefore aims to support the development of broadly protective Filovirus vaccines for preventive use. This will be achieved through two focussed areas of work, the first being the development of multivalent vaccines composed of single valencies covering different Filoviruses, and secondly the development of a vaccine library comprised of all known Filoviruses. The output of the work under this project will be multivalent vaccines with phase II clinical data to support a pathway to licensure, and individual exemplar candidates from a vaccine library with phase I clinical data. This co-funded grant application seeks to leverage €35m from Horizon Europe, which will be supplemented with €15m from CEPI making a total pool of €50m. Awards to support the project aims will be administered and managed by the CEPI secretariat, and the total project duration will be 66 months. This project builds on the existing partnership between the CEPI and the European Union which seeks to accelerate vaccine development for priority pathogens causing epidemic and pandemic threats collaboratively and effectively.

Keywords: filovirus,vaccine,multivalent,outbreak,immunogen design
Unravelling the molecular-genetic underpinnings of hybrid defects in agricultural pests (HYBRIPEST)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1499375.0
EU funding (EUR): 1499375.0
Participants: 1
Project status: SIGNED

Mating with an incompatible partner can result in dysfunctional hybrid offspring. Multiple processes cause such hybrid defects, including incompatible gene interactions and cytoplasmic incompatibilities that are mediated by bacterial parasites such as Wolbachia. Hybrid defects are strong reproductive barriers that drive speciation and are being harnessed by new pest control strategies to suppress harmful pest populations. Although pivotal to our understanding of these biological phenomena and applications, the molecular-genetic mechanisms that underpin these incompatibilities remain poorly understood. With HYBRIPEST, we will unravel all major mechanisms, and their interactions, that shape hybrid dysfunction within a system that recently became amenable to such a research endeavour. The system of Tetranychus mite species (important agricultural pests) is typified by various processes that culminate in different hybrid defects and benefits from a recently developed genetic toolkit. For the first time, we will dissect the molecular-genetic underpinnings of cytoplasmic incompatibility from the perspective of Wolbachia and host, an approach that will test biological theory and identify novel pest control opportunities. We will identify the molecular-genetic bases of incompatible gene interactions within and between species, shedding light on early speciation mechanisms. We will test for mechanistic convergence of different incompatibility loci and study how polygenic hybrid dysfunction is controlled. We will implement high-resolution genetic mapping techniques and comparative genomics to identify (in)compatibility loci. The functional importance of (in)compatibility loci to hybrid dysfunction will be further validated by recombinant expression, genome engineering, and other experimental advances. HYBRIPEST will bridge pertinent gaps in our mechanistic understanding of hybrid dysfunction, insights that will be translated into new theory and bio-applications.

Keywords: hybrid incompatibility,pest control,reproductive parasitism,genetic mapping,spider mites
Electrochemical synthesis of hydrogen peroxide from water, air and renewable electric energy (Power2Hype)

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: Germany,Netherlands,Austria,Belgium,Portugal,Spain,France,Italy
Call: New electrochemical conversion routes for the production of chemicals and materials in process industries (Processes4Planet Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 10111515.75
EU funding (EUR): 10104590.5
Participants: 20
Project status: SIGNED

In line with the European Green Deal, the Processes4Planet partnership and the European initiative for more affordable, secure and sustainable energy (REPowerEU), the RIA proposal Power2Hype aims to establish a sustainable route for the hydrogen peroxide production. Based on air and water as feedstocks, and renewable energy as the sole energy source, the POWER2HYPE route addresses an economically viable and green alternative to the classical energy-demanding anthraquinone oxidation (AO) process. Hydrogen peroxide will be produced by paired electrolysis at both the cathode and anode using an innovative custom-made 200% electrolyser. Aiming the electrification and decentralization of the chemical industry, the POWER2HYPE concept proposes the TRL 6 demonstration of electrolytic hydrogen peroxide production at any given concentration (from 20 to 99 %) at the site where it is needed. With this flexibility of concentration range, hydrogen peroxide could be used from sanitation, bleaching to niche markets as propulsion fuels.
Land use implications of the renewable energy transition (LUIRET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Belgium
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2494683.0
EU funding (EUR): 2494683.0
Participants: 1
Project status: SIGNED

To mitigate climate change, most electricity production will have to come from renewable energy (RE) sources. A challenge is that RE has a much larger land footprint than conventional energy sources. Current projections of the RE transition overlook its effects on landscapes, which may lead to unanticipated spill-over effects. Spatial constraints will severely limit the expansion of RE capacity due to: (i) competition against other land uses, (ii) public opposition, and (iii) restrictive legislation given the impacts of RE infrastructure on landscapes. It is therefore essential to understand land use impacts of the energy transition. Co-locating RE production with other land uses could decrease the overall impacts of the RE transition on land use and ecosystems compared to a spatial concentration of RE production with an exclusive use of the land. I propose a novel bottom-up approach to produce a fine-grained understanding of decisions by multiple, interacting actors regarding RE deployment in landscapes. The manner in which the RE transition is realised depends on decisions by numerous agents: governments, landowners, RE companies, civil society organisations, etc. My approach will lead to a realistic representation of feasible and sustainable pathways to accomplish a RE transition at scale. I will combine geographical analyses, interviews with stakeholders, and scenario analysis based on a new spatially-explicit multi-agent simulation model. The project will allow better anticipation of land use impacts of the RE transition under various scenarios. The project will explore the potential benefits of implementing the RE transition based on technologies that can co-exist and create synergies with current land uses as opposed to technologies that exclude other land uses. A successful and rapid energy transition is essential to mitigate climate change. This transformation needs to be realized in a way that minimizes negative spill-overs on land use and ecosystems.

Keywords: land use,renewable energy
INTELLECTUAL ASSET MANAGEMENT FOR RESEARCH AND ENTREPRENEURSHIP (IAM4RE.eu)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Coordination and support actions
Countries involved: Italy,Belgium,Germany,Croatia,Netherlands,Serbia,Lithuania
Call: Intellectual asset management support for public research organisations, academic institutions and their spin-offs (CSA) (HORIZON-CL4-2024-HUMAN-02, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 1998749.98
EU funding (EUR): 1998749.98
Participants: 9
Project status: SIGNED

The IAM4RE.eu project seeks to redefine entrepreneurship by emphasizing the valorization of intellectual assets (IA) and standardisation in PROs and academic institutions. Despite existing efforts, there remains a significant gap in early-stage support for managing these assets, essential for creating and strengthening spin-offs from research activities. The project aims to support PROs and their spin-offs in aligning their entrepreneurial efforts with key EU guidelines and Codes of Practice. IAM4RE.eu facilitates a transition from IP management to a broader IA management framework, moving beyond simple commercialization to focus on value creation that can benefit the broader innovation ecosystem. The initiative will focus on capacity-building and the development of modular educational resources, including training suites, a massive open online course (MOOC), and a "train-the-trainer" program, aimed at enhancing skills in knowledge valorization and standardization across Europe. The project will also create and support the delivery of practical tools and services to help PROs and AcIs implement these practices effectively and will produce Policy Guidelines for PROs decision-makers supporting the transition towards more effective internal IAM. All contents will be tested through real-world application in selected PROs to ensure their effectiveness, with the ultimate goal of scaling these practices across Europe. The consortium, comprising leading EU organizations in entrepreneurship, IAM, and standardization, will leverage their collective expertise to design and deliver educational content, services, and policy guidelines. The IAM4RE.eu project emphasizes long-term sustainability, with strategies in place for the dissemination of its outputs, direct exploitation of KERs, including establishing a community of practice to ensure ongoing impact.

Keywords: intellectual assets,standardisation,knowledge valorisation,entrepreneurship,training,capacity building,technology transfer,public research organisations,academic institutions,code of conducts
Tracking the spread of avian influenza viruses in live bird market networks (TrackFLU)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Biotechnology and Biosystems E ngineering
Panel description: Biotechnology using all organisms , biotechnology for environment  and food applications, applied plant and animal sciences , bioengineering and synthetic biology , biomass and biofuels , biohazards
Countries involved: France,Cambodia
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 1498987.5
EU funding (EUR): 1498987.5
Participants: 2
Project status: SIGNED

Avian influenza viruses (AIV) represent tenacious and major public and animal health problems across the world. Controlling AIV at its poultry source in Asia is essential to decrease the virus load in susceptible avian species and environment, limit the risk of human infection with AIV and minimize the risk for future global AIV pandemics. In TrackFLU, I will improve our capacity to quantify, model and predict the AIV spread in live bird market (LBM) networks in Asia, which are urgently needed if the impact of future epidemics of AIV is to be mitigated and thus, represent key elements for pandemic preparedness. For the first time, extensive field work will be combined with state-of-the-art network analysis, phylodynamic and disease modelling tools with the view to successfully influence policy-making. I will use this unique and innovative analytical pipeline to address the following key objectives: O1) Identify the factors shaping the connectivity of LBM networks, O2) Quantify the transmission dynamics of AIV in LBM networks and O3) Optimize strategies to limit AIV spread in LBM networks. TrackFLU will help us to disentangle the LBM networks’ connectivity and to resolve the AIV transmission dynamics in LBM networks. TrackFLU will result in a cutting-edge predictive model of AIV spread that incorporates, for the first time, most of the biological complexities of AIV spread in LBM networks in Asia. The model and its associated web-application will represent very powerful and innovative tools for the design of novel control strategies tailored to the key features of AIV transmission in LBM networks. TrackFLU will thus contribute to the active research issue of improving capacity to predict AIV transmission in these complex systems in Asia, hence addressing the unmet need of local stakeholders and decision makers for better predictive tools. With TrackFLU, I anticipate very promising results, with huge impacts on animal and public health.

Keywords: avian influenza viruses,modelling,phylodynamics,public and animal health,disease control
Silicon carbide photonic integrated circuit training network (SiCPIC)

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: Information Science and Engineering
Countries involved: Denmark,Germany,France,Italy,Switzerland
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): 4306626.0
EU funding (EUR): 4306626.0
Participants: 13
Project status: SIGNED

Photonic integrated circuit (PIC) technology is an enabling technology, deemed to address the challenges (high power consumption and large RC delay caused by the line width reduction) faced by microelectronic integrated circuits (IC). The demand for the technology is at an all-time high, and it is expected to experience a steadily accelerating adoption across markets. However, the potential of PIC is not fully demonstrated in the existing material platforms yet. Silicon carbide (SiC), an emerging wide band-gap semiconductor, is promising to advance PIC technology and accelerate its wide market adoption. The SiCPIC DN will: i) Break new ground in PIC technology by unlocking the unique optical properties of SiC leveraging the advancing of nanotechnology including thin film transfer and nanofabrication; and ii) Train 15 Doctoral Candidates (DCs) with out-of-the-box thinking and an entrepreneurial mindset in the field of PIC technologies as a specific expertise, and photonic and electronic integration (i.e. semiconductor) skills, and expertise in a broader perspective (i.e, covering a full chain of materials, devices and integration, and system applications). SiCPIC, therefore, creates a platform solution ensuring European leadership in next-generation PIC technologies and delivers skills which are key for the implementation of the EU Chips Act, and for wider European semiconductor autonomy.

Keywords: photonics,silicon carbide,photonic integrated circuit
Management & Analytics for Entreprise Supervision of Trusted Responsible IA Agents (MAESTRIA)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

MAESTRIA: Management & Analytics for Enterprise Supervision of Trusted Responsible AI Agents GENIAL transforms ungoverned AI adoption into strategic infrastructure. While 68% of enterprises deploy generative AI without visibility—creating security risks and missed ROI—GENIAL provides Europe's first unified observability platform for enterprise AI. GENIALYTICA captures and analyzes every AI interaction, converting fragmented usage into actionable intelligence: real-time adoption metrics, departmental ROI, and compliance status. LLM-agnostic and GDPR/AI Act compliant, it operates on European sovereign cloud infrastructure. Validated with BPI France and Cegid, GENIAL demonstrates 42% accuracy improvement, 48% compute reduction, and 6-month ROI acceleration. Currently serving 50,000 daily users across 500+ deployed agents. By making AI usage traceable, measurable, and optimizable, GENIAL enables enterprises to deploy generative AI safely while capturing its full business value—turning regulatory requirements into competitive advantage through transparency and operational excellence.

Keywords: generative ai,ai business intelligence,ai observability,ai governance,shadow ai management,agentic ai system,ai orchestration,llm,prompt egineering,ai analytics engine,responsible ia
Discovering the circuit and molecular basis of inter-strain and inter-species differences in learning (SMART)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-05-01
End date: 2031-04-30
Duration (months): 60.0
Total project cost (EUR): 2749321.0
EU funding (EUR): 2749321.0
Participants: 2
Project status: SIGNED

Across the animal kingdom, closely-related species can differ in their learning ability, as can different individuals of the same species, but the underlying causes of these differences are poorly understood. Differences in learning could be due to different structural and functional properties of learning circuits which in turn result from different patterns of gene expression. However, identifying homologous learning circuit neurons in different species for comparing their synaptic connectivity, cellular-resolution functional properties and transcriptomes is challenging in larger brains. We have identified a strain of Drosophila melanogaster larvae that learns faster (after fewer training trials) than others and a closely related Drosophilid species that learns faster than the D. melanogaster strains. We will use this tractable genetic model system to compare learning circuits in faster/better and slower/worselearner strains and species, in particular, their synaptic resolution connectomes; cellular-resolution activity maps; and transcriptomes. We will then screen the differentially expressed genes to identify those that improve learning and determine the way in which they affect connectivity and functional properties of learning circuits. This project will reveal the architectural features of learning circuits that enhance learning and memory, as well as the molecules that can transform slow/worse- into fast/better-learners and their mechanisms of action. Uncovering the underlying structural, functional and genetic causes of variability in learning will not only have a major impact on neuroscience but could also potentially inspire the development of better architectures and algorithms for artificial intelligence and provide new avenues for treating learning and memory deficits.

Keywords: connectomics functional imaging of neural activity transcriptomics learning enhancing learning drosophila larva mushroom body comparison of structure and function across strains and distinct drosophilid species