Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Powder is the only app offering a complete turnkey solution to automatically detect the best gaming moments, earn rewards from quests and challenges, and compete with other gamers. (POWDER)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open 2021 (HORIZON-EIC-2021-ACCELERATOROPEN-01, 2021)
Start date: 2022-08-01
End date: 2024-07-31
Duration (months): 24.0
Total project cost (EUR): 9747578.75
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Powder is the only app offering a complete turnkey solution to automatically detect the best gaming moments, earn rewards from quests, and compete with other gamers. As a deep tech company, we invest in self-supervised machine learning techniques for highlight detection, surpassing state-of-the-art. In a market set to surpass three billion gamers by 2023, with steady yearly growth in the last seven years (5.6%), Powder brings disruptive innovation to the market by empowering every gamer to become a content creator and socialize with their peers through clips and challenges. As their virtual lives get richer, and lifestyle gaming becomes a daily activity, gamers are increasingly looking for ways to make the most of their meaningful moments in the virtual worlds. Powder empowers every gamer with a platform that puts the users’ interests at his core, challenging the existing social media models by proudly committing to delivering a stronger, fairer, more digital, and more resilient Europe.

Keywords: content creation,game detection ai,e sports,recommendation system,moderation ai,game highlights,editing engine,metadata,convolutional neuronal network,self supervised learning,emotions recognition,web,video editing,pc,mobile,cross platform,creators economy,gaming content,metaverse,disruptive innovation,videogames,machine learning,game studios,artificial intelligence
Conformally invariant and near critical models in statistical field theory (CONFSTAT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Finland
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 1994761.0
EU funding (EUR): 1994761.0
Participants: 1
Project status: SIGNED

The goal of this proposal is to study the interplay between models of modern probability theory and quantum field theory (QFT). The proposal has two main lines of research: - Conformal field theory (CFT) and the Ising and Liouville models. In the physics literature, there is a far reaching conjecture that the scaling limits of critical lattice models can be described in two ways: either as a CFT or as a fixed point of a renormalization group transformation (RGT). Mathematically, this remains far from understood. In this proposal, these questions will be studied in two of the most canonical CFTs: the Ising model and the Liouville model. Basic properties of CFTs will be established for the critical Ising model and the Liouville model will be showed to be a fixed point of a (RGT). - Scaling limits of near critical models and bosonization. In the physics community, it is believed that also near critical models of statistical mechanics should have scaling limits that are described by QFTs that are perturbations of CFTs. Moreover, these QFTs are special in the sense that despite losing the conformal invariance of CFTs, they retain some of the exact solvability and enjoy other interesting properties. In this proposal, these themes are explored in the setting of the near-critical Ising model (a perturbation of the critical Ising CFT), the sine-Gordon (SG) model, and the massive Thirring model (MTM). An important theme being bosonization, namely that correlation functions of the near critical Ising model and the MTM are conjectured to be given in terms of SG correlation functions. In addition to this, fundamental properties of the SG model will be studied, such as operator product expansions, exponential decay of correlations, and construction of the model on Riemann surfaces. The problems solved in this program will lay the foundations of a mathematically rigorous understanding of QFT in statistical mechanics and some of the most important near critical models.

Keywords: conformal field theory,integrable quantum field theories,fermionic field theories,bosonization,ising model
Decoding Requirements for Infiltration of T ceLLs into solid tumors (DRILL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Immunity, Infection and I mmunotherapy
Panel description: The immune system , related disorders  and their mechanisms , biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases , innovative imm unological tools and approaches , including  therapies
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1521000.0
EU funding (EUR): 1521000.0
Participants: 1
Project status: SIGNED

Cancer immunotherapies that leverage T cell activities are transforming cancer treatment. Currently, enormous effort has been devoted to empowering T cells to recognize and attack tumor cells. In contrast, the trafficking of T cells into tumors, a crucial prerequisite and limiting factor for effective T cell–tumor cell interactions, receives relatively less attention while at the same time being poorly understood. This is due to the complex and dynamic nature of T cell trafficking and the lack of model systems that allow function-based systematic investigation of the specific process. This proposal integrates innovative functional genomics into physiologically relevant models that recapitulate two essential steps in the migration of effector T cells into tumors to investigate i) chemokine production in the tumor microenvironment (TME) and ii) chemotactic infiltration of T cells into tumors. Here we focus on one of the most devastating cancers, pancreatic ductal adenocarcinoma (PDAC), because it poses considerable physical and biochemical barriers that restrict the access of effector T cells to tumor cells and substantially resists all available therapies. We will 1) elucidate the (co)regulatory mechanisms of the expression of chemokines that direct T cell recruitment and exclusion. In parallel, we will 2) develop model systems to systematically reveal cell-intrinsic determinants in T cells that influence their capability to infiltrate tumors. Finally, we will 3) evaluate whether pharmacological or genetic targeting of the modulators of T cell trafficking improves T cell-based cancer immunotherapies. Collectively, this project will deliver fundamental insight into the mechanisms that regulate T cell trafficking into tumors and may yield novel strategies to broaden or increase the efficacy of the current cancer immunotherapies.

Keywords: t cell trafficking,functional genomics,chemokine,immunotherapy,antitumor t cell response
LOWering underwater NOISE Radiation from waterborne transport (LOWNOISER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Clean and competitive solutions for all transport modes
Action type: Innovation actions
Partnership: ZEWT (co-programmed)
Countries involved: Norway,Finland,Spain,Italy,United Kingdom,Portugal,Sweden,Netherlands
Call: Demonstration of Technologies to minimise underwater noise generated by waterborne transport (ZEWT Partnership) (HORIZON-CL5-2024-D5-01, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 7318497.5
EU funding (EUR): 6330923.0
Participants: 16
Project status: SIGNED

Underwater radiated noise (URN) by ships is one of main anthropogenic sources of noise in the marine environment. Transport by ship has been hailed as a green mean of transportation, at the same time, trapped under the water surface, the noise has been overlooked when considering the impact and the effects of human activities on marine species. On 11 March 24, a notice from the EC has been issued on the threshold values for the Marine Strategy Framework Directive 2008/56/EC. For continuous URN, the threshold for the habitat size of target species exceeding the Level of onset of Biologically adverse Effects (LOBE) has been set to 20%. While this notice does not set a specific limit for ship noise levels, it requires member states to evaluate the state of conservation of waters and take actions as needed. Many projects have brought to light that the marine environment is influenced by marine traffic to a level and in ways that were not obvious to predict. E.g. AQUO project has drawn attention to the effects on different marine species. SONIC looked into the noise generated by cavitating propeller. Both projects led to the development of a series of criteria to quantify the harmfulness of URN and measures to reduce it, though without demonstrating the measures in full scale. These projects were followed by PIAQUO and SATURN that have moved the focus towards regulating the noise emission of ships and implementing solutions for its reduction. The LOWNOISER project aims to bring the effort towards quieter ocean closer to reality than previous projects by showing the effectiveness of noise reduction solutions, i.e. technologies, measures and management strategies, that have a high TRL with full/large scale demonstrators. Also, the project is developing better tools for predicting URN, showing that noise reduction solutions are environmentally friendly in the sense of GHG emissions while being economically viable and safe.

Keywords: underwater radiated noise,sustainable waterborne transport,ghg emissions
Searching for Arrhythmia Solutions by Quantifying and Unraveling Atrial Transient Chaos (SASQUATCH)

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: Physics
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2026-10-31
Duration (months): 12.0
Total project cost (EUR): 101062.56
EU funding (EUR): 101062.56
Participants: 1
Project status: SIGNED

We commonly assume our heart maintains a steady rhythm, a crucial aspect of our well-being, often predictable until it suddenly isn't. Cardiac arrhythmias, marked by abnormal heart rhythms resulting from electrical impulse irregularities, affect a significant number of individuals. The most prevalent arrhythmia is atrial fibrillation (AF), a progressive condition afflicting over 7.6 million people aged 65 and older in the EU. Symptoms such as chest pain, fatigue, and weakness not only diminish the quality of life but also lead to additional complications and possibly death. Interestingly, most initial AF episodes spontaneously resolve, a phenomenon that remains incompletely understood despite substantial advancements in knowledge over the years. Particularly enigmatic is the triggering mechanism for such spontaneous termination. To tackle this challenge, we need innovative and advanced biomedical models capable of exploring the intricate mechanisms behind spontaneous termination. One such mechanism, known in the mathematics community as transient chaos, plays a significant role in this endeavor. In recent times, digital twins, i.e. computational models simulating biological cells or tissues, have rapidly gained prominence, aiding the exploration of new pharmacological and clinical therapies. The field of cardiology is no exception, with digital twins effectively replicating the behavior of cardiomyocytes (normal rhythm, spontaneous termination, and arrhythmia) within digital hearts. We intend to employ these digital twins to delve into the origins and precursors of spontaneous termination at an ionic level with "Searching for Arrhythmia Solutions by Quantifying and Unraveling Atrial Transient CHaos" (SASQUATCH), opening the door for the development of novel AF treatment methods. The synergy between fellow and host is ideal for this biophysical (and fundamentally interdisciplinary) project, as it combines their respective expertise in biophysical modelling.

Keywords: transient chaos,cardiac arrhythmias,atrial fibrillation,biophysics
Fostering and Enabling AI, Data and Robotics Technologies for Supporting Human Workers in Harvesting Wild Food (FEROX)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Italy,Finland,Spain,Portugal,Sweden,United Kingdom,Ireland
Call: AI, Data and Robotics at work (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-09-01
End date: 2025-12-31
Duration (months): 40.0
Total project cost (EUR): 3162368.43
EU funding (EUR): 2746950.25
Participants: 10
Project status: SIGNED

Wild berries and mushrooms are considered to be a national treasure of Nordic countries. These food products require zero resources to cultivate as they grow naturally in the forests. It is estimated that less than 10% of the total annual wild berry crop is harvested from the forests. The main challenge in collecting wild berries lies in the manual forest harvesting, namely pickers’ working conditions. Due to the short season, the majority of the work is conducted by foreigners with limited knowledge of the language, culture and forests. The FEROX project aims to utilize advances in AI, data, and robotics to improve the working conditions of the wild berry pickers. The project will employ autonomous drones equipped with various sensors to acquire data, build 3D models of the forests and, therefore, accurately estimate berries’ locations, amount and types. The collected data will be used to build AI models to help workers locate the berries and optimize their operations. In addition, FEROX will provide wild berry pickers with navigation and locating services and physical support to improve their working conditions and boost their trust and confidence. The holistic solution of FEROX will contribute to the overall safety of the workers by automatically monitoring the pickers and providing aid where it is needed. As a consequence, FEROX is expected to attract locals and hiking enthusiasts to work during summer in collecting wild products, hence, increasing the overall yield of the wild berries. These outcomes will open business opportunities for EU companies to adapt the solutions developed for industrialized cultivation as well as support global sustainability as technology providers for safe and sustainable berry harvesting. To demonstrate the solution, FEROX will conduct its tests in the forests in Finland with the support of the wild berries and mushroom ‘Arktiset Aromit’ (Arctic Flavours) Association.

Keywords: artificial intelligence,collaborative,berries
Minority Rights – Towards Effective European Enforcement (MINOTEE)

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: Social Sciences and Humanities
Countries involved: Austria
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 199440.96
EU funding (EUR): 199440.96
Participants: 1
Project status: CLOSED

Ongoing crises like the return of war to Europe, economic hardships, and the illiberal challenge raise worries about minority-majority relations anew, while one can hardly expect the adoption of strong pro-minority reforms in the short run. Innovative solutions are needed that strengthen minority rights while remain politically realistic. MINOTEE builds on the trend that, faced with limits of current approaches to legal enforcement, European institutions have been experimenting with forms of collective redress. The logic and benefits of this type of remedy are relevant to guarantee minority rights, but its potential is understudied. I argue that more reliance on collective redress should ensure better enforcement and can work independently from major pro-minority reforms. By drawing from methods in legal studies and political science, MINOTEE would open up novel understandings of how opportunities shaped by ethnic bargaining positions and perceptions of power relations play out in legal procedures and beyond. Open-ended, this new approach should gauge the impacts of aggregation while delving into the actor-based dynamics that empower minorities against the lack of rights enforcement. The research will explore how collective enforcement shapes questions of representation and costs, improves evidence, triggers organization, builds agency. Building on insights from early cases of minority reparation, e.g. Holocaust cases, and seeking to develop solutions that are applicable for a range of minorities, the research will focus on a limited set of cases: Roma and Hungarian minorities in Slovakia, Hungary, and Romania will be studied, also allowing to assess how collective redress mechanisms can play out amid rule of law challenges. MINOTEE will develop proposals on how European institutions could adopt regulation on collective redress mechanisms to mark a leap in minority rights enforcement, ultimately promoting effectiveness in ways that are tangible in local settings.

Keywords: minority rights,collective redress,ethnic bargaining,legal procedures,empowerment
INitiation FActor 3 as target in Cancer Therapy (IN-FACT)

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: Sweden,Hungary
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 222727.68
EU funding (EUR): 222727.68
Participants: 2
Project status: SIGNED

Eukaryotic translation initiation is a process wherein ribosomal subunits are assembled by eukaryotic initiation factor (eIF) proteins. Mammalian eukaryotic translation initiation factor 3 (eIF3), consisting of the 13 subunits eIF3a to eIF3m, is the largest and most complex eIF. Due to the emerging understanding of the role of eIF3 in a wide range of cancers, there is an increasing interest to examine its many subunits as potential therapeutic targets. Furthermore, interactions between subunit eIF3c and tumor suppressor protein schwannomin has been reported to promote development of the tumor neurofibromatosis 2 (NF2). Very few small molecule inhibitors reported targeting eIF3 subunits are reported, and are associated with high degree of uncertainty. There is hence a need to develop new and highly effective small molecules targeting the eIF3 subunits to be used in the treatment of cancer, as well as in the fundamental understanding of the interactions between the various subunits. The aim of this interdisciplinary project is to investigate the structures, dynamics, and interactions of subunits in the eIF3 family, and use this information to design, synthesize and test compounds for targeted cancer therapy. We will employ a range of computational and bioinformatics-based tools (protein-protein docking, molecular dynamics and metadynamics simulations, machine-learning based ligand design and docking techniques) to identify and explore key druggable interactions and regions in the initially targeted subunits eIF3a and c. To verify the inhibitory potential of the designed small molecules, chemical synthesis and in vitro evaluation will be performed. Through the combination of computational modeling, subunit-specific inhibition, and measurements of anticancer activity, we will be able to understand in more detail the mechanisms of action as well as interplay between different subunits, and the interactions between eIF3c and tumor suppressor protein schwannomin.

Keywords: eif3,cancer,drug design,protein protein interaction
Flux Race Investigation for Dissection Of Metabolic-bottlenecks: Leveraging the tremendous potential of algal metabolic diversity (FRIDOM)

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: Israel,Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-07-01
End date: 2028-06-30
Duration (months): 60.0
Total project cost (EUR): 1937500.0
EU funding (EUR): 1937500.0
Participants: 2
Project status: SIGNED

A ~70% increase in food production is required to feed the world population by 2050, putting increased productivity on a collision course with environmental and sustainability goals. Aiming to meet this growing demand, photosynthesis-related pathways are regarded as a promising target for crop improvement to increase agricultural yield, however, they remain mostly unexploited. Furthermore, while empirical studies have shown that photosynthetic efficiency is higher in microalgae than in both C3 or C4 crops, the underlying reasons remain unclear. Identifying metabolic bottlenecks in photosynthetic cells remains a holy grail of plant research. However, with recent progress made in cross-kingdom plant flux analyses, the time is ripe to tackle photosynthetic metabolism with state-of-the-art experimental and computational approaches as a target for plant yield improvement. In this project, I propose to address the following key questions: (1) What role is played by photosynthetic metabolism in setting the upper limits for growth of photosynthetic cells? and in this respect, (2) What makes some photosynthetic cells grow faster than others? We will combine cutting-edge tools for comparative flux analyses with genetic approaches applied on algae and higher-plants to identify and validate metabolic bottlenecks for plant growth as targets for crop yield improvement. These research aims fall well within my unique set of expertise. I’ve characterized the metabolism of the fastest growing photosynthetic cells, and mapped the metabolic networks of algae compared with C3 and C4 plant models, using a novel microfluidics setup which I developed, facilitating non-stationary stable isotope analysis at steady state conditions in liquid algal cultures. Successful outcome of this project will shed light on the magnitude of photosynthetic metabolism effects on plant growth and help reshape the field of targeting photosynthetic-related pathways for crop-plant yield improvements.

Keywords: flux analysis,metabolomics,algal metabolism,plant metabolism,growth rate,photosynthesis,algae