Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Future innovation for pesticide use reduction in agriculture (FORTUNA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Coordination and support actions
Countries involved: Germany,Denmark,France,Italy,Sweden,Hungary,Belgium,Greece,Switzerland
Call: Towards research and innovation beyond farm to fork strategy targets for pesticides after 2030 (HORIZON-CL6-2023-FARM2FORK-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 1042090.27
EU funding (EUR): 999983.13
Participants: 11
Project status: SIGNED

Agricultural production largely depends on external inputs both for plant nutrition and crop In order to ensure food security while protecting the environment and mitigate climate effect agricultural production methods, including the use of chemical-synthetic pesticides, needs to be revised. Lined out in the European Green Deal and the Farm to Fork strategy, the reduction of pesticide use by 50 % until 2030 should be one element to reach the expected goals. In the recent years several scientific studies has been performed to develop strategies and techniques to enable a reduction of chemical-synthetic pesticides use. Next to methods like organic farming, which omits the use of mineral fertilisers and chemical-synthetic pesticides, but result in lower yields, Integrated Pest management (IPM) has gained a lot of attention and was subject of national and international research activities. Advanced IPM is characterised by implementing a high degree of preventive measures to avoid establishment of pests and only resorting to chemical pesticides when there is no other option to avoid severe yield loss. However, the implementation of IPM at a multidisciplinary level is still lacking due to economic reasons and a low acceptance by farmers. Therefore, a key element of FORTUNA is to identify and analyse the available methods, tools and mechanisms from a biological/ecological, technological, socio-/economic perspective that unlocks a substantial reduction in use and risk of chemical pesticides and ultimately novel pesticide-free farming practices. Results and strategies will be discussed with stakeholders along the food- and supply-chain, which could contribute to a transition to a reduce reliance on chemical pesticides while supporting successful yields and enable food security. One major point in this process is to identify strategies that have a lower risk of productivity and profitability and profitability losses than other strategies and target the long-term perspectives.

Keywords: organic farming,plant nutrition,crop protection,food and supply chain,multidisciplinary network
HPC and Big Data Technologies for Global Challenges (HiDALGO2)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EUROHPC (JU-JTI)
Countries involved: Poland,Germany,Spain,Hungary,France,Greece,Cyprus
Call: Centres of Excellence for supporting supercomputing applications for Science and Innovation (HORIZON-EUROHPC-JU-2021-COE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 5999400.0
EU funding (EUR): 2999700.0
Participants: 11
Project status: SIGNED

Climate change has long since been an undeniable phenomenon observed up close at many places on Earth. Climate change influences our everyday life, and thus has also an increasing impact on our quality of life. One of the key reasons is the dynamic development of societies which for decades significantly impacts the natural environment. This can be dramatically experienced nowadays by violent weather phenomena (e.g. storms, rainfalls). These problems are addressed by Global Challenges (GC). GC requires interdisciplinary expertise, and demands for solutions at scale due to their inherent complexity. Thus, HiDALGO2 aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly-scalable solutions that can effectively utilise pre-exascale systems. The project focuses on five use cases from the environmental area: improving air quality in urban agglomerations, energy efficiency of buildings, renewable energy sources, wildfires and meteo-hydrological forecasting. The common feature of the modelling of the above simulations is the use of numerical analysis of fluid flows by Computational Fluid Dynamics (CFD) method, which is typically very compute-intensive. HiDALGO2 puts high emphasis on issues related to the scalability of solutions, the best adaptation of the software to the infrastructure (co-design) by using the appropriate benchmarking methodology and algorithmic optimization methods. This enables the efficient use of top-notch HPC systems to simulate complex structures with much greater accuracy not achievable for calculations using Cloud solutions. The quality of our solutions is assessed by uncertainty analysis carried out in ensemble runs mode. HiDALGO2 actively contributes to user communities from the EU by addressing the skills gap and sharing knowledge under organised specialised workflows and training.

Keywords: global challenges,global systems science,exascale,air quality,wildfire,meteo hydrological forecasting,renewable energy,scalability,benchmarking,co design,hpc,hpda,ai,novelty architectures
Integrable gauge theories at finite temperature (IGTaFT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Sweden
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): 2456500.0
EU funding (EUR): 2456500.0
Participants: 1
Project status: SIGNED

We propose a project to explore the properties of supersymmetric gauge theories at finite temperature, with special emphasis on those that are integrable in the large N limit. In particular we study the de-confinement of these theories using the newest integrability methods which have recently proved to be a powerful tool in finding the Hagedorn temperature as a function of the theory's coupling. Progress in this field can lead to better understanding of the long unsolved problem of confinement in gauge theories and the de-confinement of confining theories such as QCD at finite temperature. The project will also investigate string theories on curved space with background fields. The results of the Hagedorn temperature at strong coupling provide sharp predictions for how the string theory duals should behave, but showing it directly has so far proved elusive. The project will use the results for the Hagedorn temperature and its higher order effects to as a guide-post to determine the correct world-sheet structure for both type IIB and IIA string theories on AdS spaces. Uppsala University has been a world leader in developing techniques for exploring supersymmetric gauge theories, including integrability and localization, which have led to powerful results. The project would fund a total of five post-doc positions and two graduate students over the five year period to investigate these questions, providing excellent scientific opportunities for young theoretical physicists.

Keywords: quantum field theory,string theory,integrability
Towards a deep knowledge of the extracellular matrix proteins functions in the Duchenne Muscular Dystrophy (MYO_MATRIX)

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: France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2026-03-31
Duration (months): 27.0
Total project cost (EUR): 206859.39
EU funding (EUR): 206859.39
Participants: 1
Project status: SIGNED

Healthy skeletal muscle has a powerful capacity to regenerate after an injury. On the opposite, muscular dystrophies (MDs) are devastating diseases where these regenerative capacities are overwhelmed and the muscle fibers are progressively replaced by fibrosis, leading to muscle loss and finally to death. Fibrosis is the final outcome of excessive production of molecules constituting the extracellular matrix (ECM). However, ECM alterations in MDs have been considered only as the result of muscle damage, the inflammatory response, or an unbalanced degradation/synthesis by fibroblasts. MYO_MATRIX is a 2-year project proposing a innovative point of view by shifting the focus to the extracellular environment, i.e., ECM, as an active partner impacting on muscle cell properties. The final goal is to decipher the role of ECM in skeletal muscle homeostasis and to define the molecular ECM components at work during MDs. Specific objectives include the combination of proteomics, transcriptomics, in situ 3D tissue analyses and ex-vivo functional cell experiments. Comparison of muscles in various conditions (normal, regenerating and dystrophic) will define key molecular determinants controlling beneficial ECM remodeling (in healthy regenerating muscle) versus detrimental fibrosis (in dystrophic muscle). The transdisciplinary (biochemistry and biology) and multilevel (protein, mRNA, cell, tissue) approach will identify new components in MDs. Such an outside-in approach has never been tested so far in skeletal muscle. The project, implemented by a biochemist researcher in a biology host lab (Université Claude Bernard Lyon 1 at Institut NeuroMyoGène), will identify the molecular alterations of ECM in MDs and how they affect the behavior of cells that contribute to muscle homeostasis. The identification of the ECM molecular determinants is the ambition of the project, to propose therapeutic targets for MD patients for whom an effective treatment does not exist yet.

Keywords: duchenne muscular dystrophy,extracellular matrix,proteins,skeletal muscle,terapeutic targets
The missing mathematical story of Bayesian uncertainty quantification for big data (BigBayesUQ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-08-01
End date: 2027-07-31
Duration (months): 60.0
Total project cost (EUR): 1492750.0
EU funding (EUR): 1492750.0
Participants: 1
Project status: SIGNED

Recent years have seen a rapid increase in available information. This has created an urgent need for fast statistical and machine learning methods that can scale up to big data sets. Standard approaches, including the now routinely used Bayesian methods, are becoming computationally infeasible, especially in complex models with many parameters and large data sizes. A variety of algorithms have been proposed to speed up these procedures, but these are typically black box methods with very limited theoretical support. In fact empirical evidence shows the potentially bad performance of such methods. This is especially concerning in real-world applications, e.g. in medicine. In this project I shall open up the black box and provide a theory for scalable Bayesian methods combining recent, state-of-the-art techniques from Bayesian nonparametrics, empirical process theory, and machine learning. I focus on two very important classes of scalable techniques: variational and distributed Bayes. I shall establish guarantees, but also limitations, of these procedures for estimating the parameter of interest, and for quantifying the corresponding uncertainty, within a framework that will also convince outside of the Bayesian paradigm. As a result, scalable Bayesian techniques will have more accurate performance, and also better acceptance by a wider community of scientists and practitioners. The proposed research, although motivated by real world problems, is of a mathematical nature. In the analysis I consider mathematical models, which are routinely used in various fields (e.g. high-dimensional linear and logistic regressions are the work horses in econometrics or genetics). My theoretical results will provide principled new insights that can be used, for instance in multiple specific applications I am involved in, including developing novel statistical methods for understanding fundamental questions in cosmology and the early detection of dementia using multiple data sources.

Keywords: asymptotics,frequentist validation of bayesian methods,posterior consistency,uncertainty quantification,adaptation,nonparametric bayes,variational inference,theoretical guarantees for computational schemes
BUILDING ON THE ACHIEVEMENTS OF PLAN S TO FURTHER ADVANCE OPEN ACCESS AND SCHOLARLY COMMUNICATION (OA-Advance)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Reforming and enhancing the European R&I System
Theme: Reforming and enhancing the European R&I System
Destination: Reforming and enhancing the European R&I System
Action type: Coordination and support actions
Countries involved: France
Call: Support to the further operation of cOAlition S (HORIZON-WIDERA-2023-ERA-GIB-02, 2023)
Start date: 2023-09-20
End date: 2025-12-19
Duration (months): 27.0
Total project cost (EUR): 132000.0
EU funding (EUR): 132000.0
Participants: 1
Project status: SIGNED

The European Commission has made great strides in pushing for a more open scholarly publishing system in the past 15 years, and Open Access to publications is now mainstreamed into the European Commission research funding framework. The EC has been supporting a consortium of research funders called cOAlition S that have adopted an Open Access mandate for recipients of their funding called Plan S, which required cOAlition S grantees to publish all peer-reviewed articles resulting from their grant funds in open access (OA). In the five years since Plan S was published, cOAlition S has grown from 12 founding members to 28 and the Plan S Principles have been implemented in the participating funders’ policies. We are now in a position to evaluate the first five years of Plan S and cOAlition S, and reflect on lessons learned and the road ahead. The OA-Advance project will contribute to strengthening cOAlition S as an instrument to advance the European Commission’s and participating funders’ shared vision to deliver full and immediate OA. It will work to achieve this by assessing the impact of Plan S through an independent review, and by providing recommendations on how to build on the achievements of Plan S to support a new vision for the future of scholarly publishing.

Keywords: open access plan s coalition s
Water-driven redox biocatalysis utilizing industrial waste heat as energy source (Waste2Chem)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 232916.16
EU funding (EUR): 232916.16
Participants: 1
Project status: SIGNED

The chemical industry is embracing the need for sustainable and eco-friendly processes, with biocatalytic redox reactions emerging as promising candidates due to their ability to perform selective transformations under mild conditions. However, a major hurdle lies in the reliance on traditional stoichiometric electron donors, which pose environmental and economic constraints. Electrochemical approaches, while promising, are still nascent and require specialized infrastructure, limiting their widespread adoption. To overcome these limitations, this project proposes an innovative approach that harnesses water as an electron donor for biocatalytic redox reactions. This shift necessitates external energy input and suitable catalysts to convert the energy into the oxidation power needed to oxidize water. The project introduces a novel strategy of selectively immobilizing biocatalysts on the water oxidation catalyst surface. This approach facilitates efficient electron transfer, minimizes oxidative inactivation of the biocatalysts, and enables easy recycling of the composite catalyst material. The core innovation lies in the design and creation of fusion proteins that link the biocatalysts with anchor peptides using flexible or rigid linkers. This controlled immobilization strategy enhances energy coupling efficiency, mitigates ROS-induced enzyme inactivation, and paves the way for more efficient and sustainable oxyfunctionalization processes. This highly interdisciplinary project, spanning biocatalysis, chemistry, enzyme engineering, and material science, capitalizes on the fellow's proficiency in enzyme engineering and biocatalysis in combination with world-leading expertise of Prof. Frank Hollmann from TU Delft in green chemistry and biocatalytic oxyfunctionalizations.

Keywords: biocatalysis peroxygenases water oxidation catalysts oxyfunctionalised products anchor peptides sustainable chemistry and technology
EveNt DrivEn Active Vision for Object peRception (ENDEAVOR) (ENDEAVOR)

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: Czechia,Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 150438.72
EU funding (EUR): 150438.72
Participants: 2
Project status: SIGNED

Computer vision, leveraging deep learning in the last decade, has achieved unprecedented progress. However, it is largely relying on datasets of still images, thus using "passive vision". On the contrary, biological vision is a fundamentally active process of exploration to disambiguate objects, and yet, the potential of active vision for robotics remains underexplored. The ENDEAVOR project seeks to redefine traditional static image analysis within fast online robotic applications. This project integrates the computational models of Sensorimotor Contingency Theory (O'Regan and Noe, 2001) with event-driven perception and neuromorphic computing. Sensorimotor contingency represents the dynamic relationship between an agent's sensory inputs and motor actions in the environment. Active sensory data generation naturally aligns with event-driven perception, tracking moving objects via agent-generated events, while neuromorphic computing minimises latency and energy use. The humanoid robot iCub will hold objects and examine them from various perspectives through eye and wrist movements. The project capitalises on bioinspired hardware and software solutions, ultimately aiming to reduce computational demands, power consumption, and latency in intelligent systems. ENDEAVOR offers three significant contributions to computer vision and robotics: (1) It introduces active vision strategies that enhance object perception. (2) It integrates event-based visual sensing with rapid and efficient parallel computation, leveraging neuromorphic computing principles. (3) The project establishes a benchmark that allows for both qualitative and quantitative evaluations, fostering comparisons among various approaches, including frame-based, event-based, and spiking-based systems. The importance of this approach lies in the effort to reduce the storage of massive amounts of data while aiming for mW of power consumption.

Keywords: active vision,event driven sensing,neuromorphic computing,robotics,embodiment
Non-Fluorinated salts for Li-Metal battery Electrolytes (NoF-LiME)

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: Spain,United States
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-11-01
End date: 2027-10-31
Duration (months): 36.0
Total project cost (EUR): 261380.64
EU funding (EUR): 261380.64
Participants: 3
Project status: SIGNED

In the pursuit of the EU Green Deal’s carbon neutrality goals, there's an immediate need for advanced energy storage systems. Lithium-metal batteries (LMBs) present a promising solution, offering nearly double the energy density of current Li-ion batteries, although they currently suffer from a reduced cycle life. This is due to the inefficient lithium plating/stripping and the eventual formation of Li dendrites. Current trends in electrolyte engineering for LMBs focus on fluorinated salts and additives, which produce a LiF-rich solid-electrolyte interphase (SEI). However, recent studies suggest that Li2O might be a more desirable SEI component. The NoF-LiME project builds on this change of paradigm by focusing on fluorine-free salts for LMB electrolytes, with the aim of producing a Li2O-rich SEI. The project involves the synthesis and evaluation of novel sulfonimide salts, including the study of the cation-anion interactions in solution and their electrochemical performance. Success in this venture will mark a substantial leap away from the conventional reliance on F-rich compounds, showcasing the potential to formulate more sustainable and environmentally friendly electrolytes for next-generation batteries. Additionally, beyond its scientific contributions, the project will equip the researcher, Dr. Juan Forero-Saboya, with a distinctive skill set in battery electrolyte research and development, complementary to his current expertise. Guiding the NoF-LiME project is a team of recognized experts in the field with complementary knowledge: Dr. Montserrat Casas-Cabanas at CIC energiGUNE in Spain (specializing in cathode materials), Prof. Betar Gallant at the Massachusetts Institute of Technology (experienced in SEI analysis and quantification), and Prof. Alexis Grimaud at Boston College (expert in battery electrolyte formulation and assessment).

Keywords: non aqueous electrolytes,li metal batteries,solid electrolyte interphase sei,lithium electroplating