Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Bio Knowledge Agora: Developing the Science Service for European Research and Biodiversity Policymaking (BioAgora)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Coordination and support actions
Countries involved: Finland,Romania,Italy,France,Belgium,Germany,Spain,Hungary,Bulgaria,Poland,Netherlands,United Kingdom,Norway
Call: A mechanism for science to inform implementation, monitoring, review and ratcheting up of the new EU biodiversity strategy for 2030 ('Science Service'). (HORIZON-CL6-2021-BIODIV-01, 2021)
Start date: 2022-07-01
End date: 2027-06-30
Duration (months): 60.0
Total project cost (EUR): 11827270.01
EU funding (EUR): 11827270.0
Participants: 22
Project status: SIGNED

Despite improved understanding of the need for science to inform biodiversity related policy making and the rich field of science-policy interfaces (SPIs) there remains a gap in ensuring that all decision makers across all societal sectors have direct access to research-based knowledge when planning, budgeting and deciding on actions that have an impact on local, national, EU and global biodiversity. BioAgora will develop a Science Service for Biodiversity (hereafter referred to as Science Service), which responds to the present gaps and future needs in SPIs and provides the science pillar of the EU’s Knowledge Centre for Biodiversity (KCBD). It will channel the entire landscape of EU biodiversity science from monitoring to meta-analyses and communicate this knowledge through two-way platforms to EU institutions and the broader community. To do this, the project will use ongoing processes of SPIs across Europe and beyond, as knowledge exchange networks, to address the most urgent needs identified for the Science Service. BioAgora will go beyond the state of the art by co-creating new ways of bridging the gap between science, practice and policy and use this as a basis for the Science Service’s development for future needs. To do this, it will 1) analyse the existing landscape of SPIs, assess their policy tools and the current biodiversity knowledge held in Europe, 2) engage with a broad range of actors –those already established ones and those not yet fully integrated within the landscape, as well as the users of SPIs; 3) form the Science Service governance structure and systems model along the projects span by testing it in real life; 4) provide capacity building for the EU community of decision makers to become empowered for transformative change for biodiversity. BioAgora will deliver a functional and responsive Science Service, capable of providing a one-stop-shop for fit-for-purpose materials and tools which enable decision makers to secure biodiversity and sustainability transformation.

Keywords: science policy,biodiversity,transformation,sustainability,networks
Metabolic Fingerprinting of Autism Spectrum Disorders in Breath by Mass Spectrometry (MeFMAB)

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: Cyprus,Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-02-01
End date: 2027-09-30
Duration (months): 44.0
Total project cost (EUR): 148488.0
EU funding (EUR): 148488.0
Participants: 2
Project status: SIGNED

Current diagnosis of individuals suffering from disorders on the autism spectrum is based on behavioural and developmental observations, usually in their early life. Even so, there is a significant amount of people having to live with these life-long disorders that remain undetected and no treatment is provided to them. However, it is already established that such disorders are associated with metabolic changes. There is now a growing amount of evidence suggesting that such metabolic alterations can be detected in samples such as blood or urine taken from children early in their life. These routines however can cause significant discomfort to the child. The primary aim of the proposal will involve the use of less invasive sampling techniques such as exhaled breath and exhaled breath condensate for the early diagnosis of metabolic hallmarks of autism spectrum disorders. These samples will be analysed using already established chemical analysis techniques for the detection of small metabolic changes in the obtained samples. Tandem mass spectrometry techniques will be used for the unambiguous identification of these metabolites. Data analysis tools such as principal component analysis (PCA) and hierarchical clustering will be used, to associate these metabolic changes with existing medical records obtained from the patients, to establish a potential diagnostic tool. The potential for the rapid detection of these metabolites will be examined through the integration of novel ambient mass spectrometric ionisation methods such as plasma ionisation. The ability to selectively ionise specific metabolites associated with autism will be investigated with the aim of generating an early prototype of a rapid screening method for routine use. Data generated during the initial stage of the work will be used to create a database that will be used for near real-time characterisation of the exhaled breath through the analysis of metabolites and volatile organic compounds (VOCs).

Keywords: ambient ionisation mass spectrometry,breath analysis,vocs,volatolomics,autism spectrum disorders
Understanding and Fixing Bottlenecks in Optimization for Modern Machine Learning (Bernar)

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: France
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 226420.56
EU funding (EUR): 226420.56
Participants: 1
Project status: SIGNED

Modern machine learning models have been successfully deployed across fields, from scientific studies to tech- nological developments in industry, but their development remains poorly understood. The training of a large language model such as GPT-3 is estimated to cost $4.6M, and public attempts to replicate the training process alone required teams of engineers to rotating on-call for months, monitoring various statistics and constantly tweaking the training procedure when it broke. Existing theoretical frameworks offer limited insights into this process, as they do not capture the main difficulties that arise in practice when training neural networks, leaving practitioners to rely on error-prone heuristics and expensive trial-and-error. This leads not only to a large devel- opment cost dominated by wasted resources, but also limits the possible impacts of machine learning to areas considered profitable by industries that have the resources to carry this development. The objective of this project is to build a better understanding of how recently identified bottlenecks in neural network training slow down optimization and how to adress them. The specific aims are to: (a) Understand the impact of class imbalance on the dynamics of neural networks to identify where to allocate algorithmic resources. (b) Develop a theory to capture optimization difficulties early in training to guide the development of algorithms that improve performance during this crucial phase. (c) Identify new bottlenecks that arise from applications to new data types. The project combines experimental expertise of the postdoctoral and the theoretical expertise of the host insti- tution to identify and describe the real impact of data characteristics on neural network training. Understanding these bottlenecks will help develop more efficient and reliable algorithms and guidelines on best practices that depend on properties of the data.

Keywords: machine learning,optimization,algorithms,neural networks,large scale,training dynamics
AdvanSiC - Advances in Cost-Effective HV SiC Power Devices for Europe’s Medium Voltage Grids (AdvanSiC)

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,France,Italy,United Kingdom,Switzerland,Germany
Call: Demonstration of advanced Power Electronics for application in the energy sector (HORIZON-CL5-2021-D3-02, 2021)
Start date: 2023-01-01
End date: 2026-09-30
Duration (months): 45.0
Total project cost (EUR): 3956595.0
EU funding (EUR): 3242373.0
Participants: 14
Project status: SIGNED

For a larger deployment of clean and sustainable energies more efficient and competitive converter solutions are necessary. In this framework, wide Bandgap (WBG) technology provides benefits compared to conventional silicon technology. Even those benefits are well known, e.g. efficiency and/or sufficient reduction on converter footprint, right now SiC are far too expensive and its cost has a negative impact on overall system cost. In the view of this situation, the objective of AdvanSiC is to produce, test and validate cost-effective HV SiC MOSFET semiconductors in various MVDC grid applications: a solid-state circuit breaker for DC converter stations, a full-scale wind converter and a full-scale solar inverter. The aim is to minimize HV SiC device cost by advanced design structures and process optimizations. And afterwards, assure an immune and reliable environment to handle SiC fast transients, as well as optimize passives and cooling system to provide cost reduction not only at device level but also at system level. The main goal of AdvanSiC is to provide industrial leadership in key and emerging technologies to SMEs, start-ups, and industry from Europe to Europe, specifically in a technology that will be key to provide clean and affordable energy.

Keywords: silicon carbide sic,semiconductors,wide bandgap wbg technology,smaller size converter stations,cost efficient,energy grid applications,offshore onshore applications
MATHEMATICAL MODELS FOR CORAL REEFS: TOWARDS AN INTERDISCIPLINARY AND CONSERVATION-FOCUSED RESEARCH (CoralMath)

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: Environment and Geosciences
Countries involved: Spain,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2026-02-28
Duration (months): 30.0
Total project cost (EUR): 216699.6
EU funding (EUR): 216699.6
Participants: 2
Project status: SIGNED

Coral reefs are one of the most biologically diverse ecosystems on Earth, but their regression has largely increased in the last decades due to local human pressures and global warming. This project aims to use numerical models and simulations to expand our understanding of coral reefs' dynamics and improve marine conservation strategies. I will follow an interdisciplinary approach, using complex systems and non-linear physics techniques combined with ecological knowledge and field data of coral reef systems. My results will be the foundation to study a large variety of open questions in coral reef science using an innovative and ground-breaking point of view. In this project, I will focus on two applications of the models: i) the study of the underlying mechanisms causing the emergence of halo-like patterns around reef islands (grazing halos) and ii) the construction of a protocol to optimize and reduce costs in coral restoration programs. I expect my results to have a high impact on the scientific community and contribute to making better and more informed decisions about the sustainable management of coastal zones, in line with the new EU Biodiversity Strategy for 2030 - a comprehensive, ambitious, long-term plan for protecting nature and reversing the degradation of ecosystems aiming to put Europe's biodiversity on a path to recovery by 2030 with benefits for people, the climate and the planet.

Keywords: non linear physics,self organization and emergent phenomena,marine ecology,coral reef ecosystems,marine restoration programs
Photo-TROPHICATION: Impact of eutrophication on lake carbon fluxes driven by Aerobic Anoxygenic Phototrophic bacteria. (Photo-TROPHICATION)

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: Life Sciences
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 2
Project status: SIGNED

Anthropogenic disturbances in aquatic environments are causing carbon cycle imbalance and eutrophication. Bacteria perform crucial roles in the seasonal succession of aquatic communities and play a key role in the transfer of dissolved organic carbon to the upper trophic levels through the microbial loop. Aerobic anoxygenic phototrophic (AAP) bacteria harvest energy from light through bacteriochlorophyll reaction centers to supply their heterotrophic metabolism. AAP bacteria undergo large seasonal oscillations in abundance and community composition and are linked to phytoplankton bloom in freshwaters, reaching up to 20-30% of total bacterial community during their peaks. AAP use dissolved organic matter released by phytoplankton bloom, and since they have larger size and are under higher grazing pressure, critically participate in the microbial loop. AAP community is driven by the availability of carbon and phosphorus, elements that condition the lake’s trophic status. The aim of this project is to study how eutrophication is changing the fluxes of carbon that AAP bacteria drive in the environment through respiration and carbon assimilation. Environmental dark and infrared (IR) microbial respiration measurements will decipher the impact that photoheterotrophy has on microbial respiration in different trophic status lakes. Additionally, a novel combination of IR-epifluorescence microscopy with NanoSIMS analysis is proposed to quantify the phytoplankton derived carbon assimilation rates by AAP bacteria in different trophic status lakes. Finally, a unique monthly, 12-years long metagenomic and environmental survey from 4 different trophic status lakes (oligotrophic to eutrophic) will decipher the how the eutrophication is changing the AAP community composition and their genetic repertoire, aiding in the adequate management and restoration of eutrophic environments by providing information about the microbial community changes driven by eutrophication.

Keywords: eutrophication,carbon cycle,microbial ecology,biodiversity,anoxygenic photosynthesis,microbial respiration,microbial loop,phytoplankton derived carbon
Enhancing Digital preservation strategies at European and National level (EOSC EDEN)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: EOSC ecosystem
Action type: Research and Innovation actions
Partnership: EOSC (co-programmed)
Countries involved: Finland,Germany,Netherlands,Norway,Belgium,United Kingdom,Switzerland,France,Poland
Call: Long-term access and preservation infrastructure development for EOSC, including data quality aspects (HORIZON-INFRA-2024-EOSC-01, 2024)
Start date: 2025-01-01
End date: 2027-12-31
Duration (months): 36.0
Total project cost (EUR): 7999986.25
EU funding (EUR): 7999986.25
Participants: 16
Project status: SIGNED

EOSC EDEN will develop and establish a framework to identify what data are candidates to long-term preservation based on use, benefit, and quality and a model for re-appraisal points along data lifecycle and test usability. It will identify practices to support the creation of curation, long-term preservation, and access strategies in Europe. These outputs will be complemented by a set of user-centric tools, services, and standards that the project will develop to support the establishment of a European distributed infrastructure for long-term preservation, curation, and access in Europe. Namely, EOSC EDEN will build a registry to mainstream tools and services from trustworthy repositories and long-term archives into EOSC; will enhance and develop new services to automate preservation and curation actions and will identify standards and protocols to submit and exchange candidate packages for long-term preservation. The development of the services will be enabled via use cases and discipline-oriented pilots. The discipline-oriented pilots, developed by the early adopters of the project (meaning the representatives of the seven different disciplines directly part of the project) will test the EOSC EDEN outputs from a discipline-perspective ad will be key to inform the creation of a support-kit to guide and support new users in adopting the results of EOSC EDEN. To ensure adoption and long-term sustainability of the results EOSC EDEN will engage and collaborate with different types of stakeholders. One key player for the success of the project will be the HORIZON-INFRA-2024-EOSC-01-03 awarded project. Last but not least, EOSC EDEN will work to boost data curation and quality practices in Europe by creating awareness of the benefits and by enhancing skills in the area. In particular, the project will establish an expert curation network with a representation on organisation, repository (generalist/specialist), collection/catalogue and at digital object type level.

Keywords: digital preservation,curation,eosc,
Production of a second phase of hydrophobic aromatics with solvent-tolerant Pseudomonas (PROSPER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Germany
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): 1999485.0
EU funding (EUR): 1999485.0
Participants: 1
Project status: SIGNED

Replacement of fossil chemicals with biological counterparts has been widely accepted as a vital pursuit to increase the sustainability of our chemical and material industries. Synthetic biology and metabolic engineering enable us to produce a plethora of chemicals with microbes, but the majority of these never make it past the proof-of-principle stage. This is especially the case for drop-in bulk aromatics like styrene or benzene. The main reason for this is that such products are too toxic to ordinary production microbes. In PROSPER I aim to overcome this hurdle and demonstrate the efficient microbial production of hydrophobic aromatic chemicals using solvent-tolerant Pseudomonas. I will engineer this unique extremophile to break the solubility barrier of these chemicals, forming a second phase of product. This second phase provides a virtually endless product sink and it enables extremely simple downstream recovery. The bio-based production of a second phase of such chemicals has thus far never been shown. I believe that this relates to a fundamental problem in biotechnology: production tolerance, i.e., tolerance of the producing organism to the produced product, rather than to an externally added chemical (as it is usually studied). In PROSPER I intend to generate deep mechanistic insights into the processes governing both types of tolerance and to leverage these insights to open up a new field of biotechnological production of hydrophobic compounds. To achieve this, I will develop new methods to analyze intracellular solvent concentrations, build a Pseudomonas chassis with enhanced production tolerance to hydrophobic solvents, and enable production of solvents like styrene, ethylbenzene, and even benzene. I am in a unique position to achieve this goal, with over 15 years of experience in the engineering of Pseudomonas as a workhorse in biotechnology, the study of solvent-tolerance, and the development and application of synthetic biology tools and metho

Keywords: pseudomonas,solvent tolerance,metabolic engineering,aromatics,synthetic biology
Autonomous Vehicular Edge Computing and Networking for Intelligent Transportation (ASCENT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Sweden,Finland,Portugal,China,United Kingdom
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-03-01
End date: 2027-02-28
Duration (months): 48.0
Total project cost (EUR): 547400.0
EU funding (EUR): 450800.0
Participants: 8
Project status: SIGNED

Intelligent Transportation Systems (ITS) are vital for enhancing road safety, alleviating traffic congestion, and saving energy in transport. However, due to the complex and dynamic operating environments of ITS including fast-moving vehicles, fluctuating vehicular communications, and scarce computing resources, ITS face unprecedented challenges in meeting the stringent service requirements in terms of ultra-high reliability and low-latency, demanded by the emerging mission-critical applications (e.g., autonomous driving and real-time intelligent traffic control). To address these challenges, ASCENT aims to form an international, multidisciplinary, and inter-sectoral consortium with world-leading experts to create a novel Autonomous Vehicular Edge Computing and Networking system empowered by advanced Artificial Intelligence (AI) technologies towards achieving reliable and efficient ITS. Specifically, ASCENT will pioneer research and innovations (R&I) on ground-breaking technologies including: 1) a novel and scalable system architecture that enables agile and reliable ITS service provisioning; 2) an original distributed AI framework fuelled by bespoke federated deep learning methods to offer pervasive intelligence; 3) innovative analytics tools to accurately predict dynamic network status including network traffic and channel quality; 4) autonomous and smart resource management schemes to support mission-critical ITS services. ASCENT will boost the R&I capability of partners in multiple disciplines and create a long-term cross-discipline and cross-sector knowledge-sharing platform with complementary expertise. The researchers involved will be trained through extensive R&I actions and well-planned networking activities to enrich their skill sets as well as enhance their career perspectives. The outcomes of ASCENT will significantly contribute to enhance the EU’s competitiveness and transforming our transportation systems into safer, smarter, and greener future ITS.

Keywords: internet of vehicles,edge computing,machine learning,intelligent transportation systems