Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Intermarriage and ethnic identity (IMEI)

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: Hungary
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 157622.4
EU funding (EUR): 157622.4
Participants: 1
Project status: CLOSED

An important element of social cohesion and contact between majorities and sub-state ethnic minorities are intermarriages, which are either welcomed as vehicles easing the tensions between nations and sub-state minorities, or criticized as important drivers of assimilation and the ‘destroyers’ of ethnic minority communities. The social aspects, family dynamics and identity construction of family members in intermarriages were not studied methodically in CEE and the WB. Therefore, the goal of the Intermarriage and Ethnic Identity (IMEI) project is to analyse the social implications of intermarriages between members of ethnic minority communities and the majority nations in Vojvodina, the multiethnic region of Serbia. The IMEI project will contribute to the state-of-the-art by analysing the social impacts of intermarriages on three levels, namely the individual (micro), the family (meso) and the societal (macro) in a significantly multi-ethnic geographic region. On the individual level the project will examine ethnic and cultural identity transformations undergone by partners in intermarriages. On the family level we will explore the processes of intergenerational transfer of ethnic, religious and cultural markers. On the societal level the project will investigate the workings of the relevant and quite modern ethnic minority policies and legal framework of Serbia and their impact on intermarriages. This research is relevant in the wider European context as well, as we will specifically target the Hungarian, Slovak and Romanian ethnic minorities living in Vojvodina, whose kin-states (Hungary, Slovakia, Romania) are members of the European Union, whose members often have dual Serbian and EU citizenship and are therefore subject to the Framework Convention for the Protection of National Minorities and European Charter for Regional or Minority Languages, the European Union’s key policies for the protection of (its) minorities.

Keywords: intermarriage,sub state ethnic minorities,gender,acculturation,identity transoformations
Perception in Action: Neural Dynamics of Sensorimotor Interactions in Touch (SELF-TOUCH)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 1
Project status: CLOSED

Self-touch is perceived as less intense than physically identical touch from an external source. Current computational theories propose that the brain predicts and dampens the sensory consequences of actions, a phenomenon referred to as sensory attenuation. When prediction mechanisms fail, it can have powerful consequences for perception, from mild perceptual disturbances to more extreme hallucinations and delusions that are characteristic of psychosis-spectrum disorders such as schizophrenia. Predicting touch is likely supported by specific patterns of brain oscillations, subserving brain connectivity, yet little is known about these mechanisms. SELF-TOUCH will use cutting-edge methods from magnetoencephalography to study oscillatory dynamics during the prediction, generation and attenuation of self-touch. The objectives are to i) reveal how the brain dynamically predicts touch during the time-course of actions, ii) to study how the brain treats violations of sensory predictions and iii) to examine these predictive mechanisms in individuals with high schizotypy. Understanding the temporal dynamics of sensory prediction could reveal how perceptual disturbances manifest in psychosis and may aid development of biomarkers for early intervention of schizophrenia. The project will result in a synergy between the applicant’s highly interdisciplinary profile and the high quality of the host institution. It will be completed at a world-leading research-led institution (Karolinska Institutet, Department of Neuroscience) within a team led by Dr. Konstantina Kilteni providing theoretical knowledge and practical expertise in sensorimotor neuroscience and sensory attenuation. The applicant brings highly complementary expertise in cognitive neuroscience, psychophysics, and neural time-series analyses. The proposed work will expand the applicant’s experience, research competencies and professional networks, enhancing the development of his career as an independent researcher.

Keywords: somatosensory motor control schizotypy,magnetoencephalography
Mitochondrial antiviral signaling in Plants (MAVS in plants)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-05-01
End date: 2025-04-30
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 1
Project status: SIGNED

Rhizomania is one of the most economically devastating disease of sugar beet and is caused by Beet necrotic yellow vein virus (BNYVV). Emerging evidence indicates that mitochondria plays essential role in plant immunity and thus represents a promising target for the development of sustainable broad-spectrum disease resistance in crops. This project builds on the previous findings that BNYVV localize to mitochondria, and this occurrence is related to the assembly of the virus. Moreover, several nuclear genes encoding mitochondrial proteins appear to be repressed by a nuclear-localized BNYVV P25 virulence factor (Savenkov, unpublished). In animals, mitochondrial signaling in response to virus infection has been well studied, but it has been overlooked in plants and still is an open field to find the potential targets for improved plant fitness against plant viruses. Mitochondria activate antiviral signaling in response to virus infection in animals, but so far no such mechanism is known in plants. The mitochondria exert its response via nucleus by a process called mitochondrial retrograde regulation (MRR). Mitochondrial homeostasis translates pathogen infection into molecular mechanisms associated with chromatin remodeling thereby conferring resistance to pathogens. Mitochondria remodel chromatin structure via MRR and activate defense related genes to fight off the pathogen. The rationale behind this proposal is discoveries from the host’s group showing that promoter elements of mitochondrial genes (Tim13, Cyt c) are the targets of p25 protein of BNYVV (as was identified by ChIP-seq; unpublished data). This project has the overarching aim to deepen our understanding of the mitochondrial events underlying antiviral response, with the long-term goal to provide knowledge-based tools for improved plant performance under pathogen attack.

Keywords: mitochondrial,virus,mitochondrial retrograde regulation,p25
Methane paradox revisited: Unravelling the impacts of eutrophication on microbial methane cycling in aquatic ecosystems (METHANIAQ)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-03-01
End date: 2029-02-28
Duration (months): 60.0
Total project cost (EUR): 1497793.0
EU funding (EUR): 1497792.5
Participants: 1
Project status: SIGNED

Aquatic ecosystems are a major source of the potent greenhouse gas methane, accounting for half of the global methane emissions. Biogenic methane is microbially produced in anoxic sediments and typically rapidly consumed by methanotrophic microorganisms, largely limiting emissions to the atmosphere. However, methane concentrations are often elevated in oxic surface waters of oceans and lakes (“methane paradox”). Aerobic methane production in surface waters might constitute a particularly important source of methane, which, due its proximity to the atmosphere, might escape the aquatic “microbial methane filter”. Yet, we currently lack a comprehensive understanding of the involved processes and microorganisms. Moreover, enhanced eutrophication of coastal ocean and lake ecosystems has been linked to increased methane emissions. Despite the immense importance of methane-cycling microorganisms in controlling emissions from these systems, we know remarkably little on how changes in environmental conditions affect their in situ activities. The METHANIAQ project addresses these knowledge gaps by 1) resolving and quantifying aerobic methane production in surface waters of aquatic ecosystems with different trophic states, and 2) unravelling how eutrophication affects methane-consuming microorganisms in water columns of coastal ocean and lake ecosystems. To tackle these objectives, I will use an innovative combination of approaches, comprising in situ measurements of biogeochemical process rates, manipulation experiments under controlled laboratory conditions, and cutting-edge molecular methods to analyze microbial communities. The proposed approaches will provide an integrated view from the scales of enzymes and microorganisms to ecosystem-level processes spanning marine and freshwater ecosystems. I expect this cross-disciplinary project to generate essential insights into methane cycling dynamics in aquatic ecosystems and their effect on the global climate.

Keywords: aquatic microbial ecology,isotope biogeochemistry,methane cycling,eutrophication,climate change
Development and manufacture of new, more sustainable and safer materials using biobased functionalised additives based on lingin and tannins to improve fire resistance. (BIOSAFIRE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Innovation actions
Countries involved: Spain,Poland,Finland,Italy,Netherlands,Sweden,France,Cyprus,Germany,Belgium,Türkiye,Switzerland
Call: Development of safe and sustainable by design alternatives (IA) (HORIZON-CL4-2024-RESILIENCE-01, 2024)
Start date: 2024-12-01
End date: 2028-05-31
Duration (months): 42.0
Total project cost (EUR): 11758911.0
EU funding (EUR): 9925163.25
Participants: 22
Project status: SIGNED

BIOSAFIRE goes back to nature to upgrade lignins and tannins, nature’s flame retardants, and unlock them for industrial application of biosbased flame retardants. Starting from already existing pilot plants, BIOSAFIRE upscales and broadens the available feedstocks to provide flame retardant in powder formats for five applications in four different sectors: naval, railway, home appliances and wood coatings. Featuring the same fire retardancy performance as chosen toxic benchmarks and enhancing safety and sustainability with an 80% of biobased content, BIOSAFIRE aspires to not only demonstrate its targets on 5 use cases, but also to create a material portfolio and a set of processing guidelines to enhance flame retardants substitution by the industry. This will open the possibility for biobased resins to exhibit good fire retardant properties. It will unlock a market opportunity worth USD 9.5 billion in 2028where Europe involves a 25% share and the sectors involved in the project 65% of the market share. BIOSAFIRE will design an industrial pilot plant to understand and overcome value chain barriers and create a robust techno economic assessment to promote the market uptake of the project results. BIOSAFIRE is an opportunity to test the EU JRC SSbD framework. The project will use a tiered approach to run the framework iteratively and provide a decision support toolset, link SSbD principles to early conceptual design and ultimately provide a software tool based on HEU SUNRISE methodology. The integration of SSH in the project will allow an enhanced social acceptance, further boosted by the training materials developed during the project.

Keywords: fire retardants,lignin extraction,tannin extraction and purification,safe and sustainable by design
AI-enabled design and optimization of fully coupled wind-wave integrated floating energy system (WinIFES)

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: United Kingdom
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): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

Integration with wave energy convertors (WECs) has been a promising solution to lowering the levelized cost of energy of floating offshore wind turbines (FOWTs) by sharing the platform and mooring systems. The synergy effects of wind-wave integrated floating energy systems (IFES) can be achieved to improve the power performance and motion stability, which requires a proper combination of FOWT and WECs. This project aims to construct an optimization design framework for cost-effective, high-efficiency and stabilized wind-wave IFES based on artificial intelligence (AI) techniques by: i) developing a fully coupled modelling methodology for considering the aero-hydro-servo-elastic effects; ii) developing a real-time hybrid testing method overcoming the conflicts between different scaling laws to validate the numerical model; iii) understanding the interaction mechanism between WECs and FOWT under different environmental loads and operating states; iv) developing a novel machine learning model to efficiently predict dynamic responses of IFES by introducing signal processing algorithms into convolutional neural network and bidirectional long-short term memory model with attention mechanism; v) determining Pareto solution sets using improved non-dominated sorting genetic algorithm. The outcome of this research will help to facilitate the development of offshore wind and wave energy resources in deep sea areas. This project will benefit offshore engineering industry by providing a novel machine learning model for dynamic response prediction based on limited wind and wave data input. The research will also promote the multi-disciplinary integration by covering a wide range knowledge areas including aerodynamics, intelligent control, hydrodynamics, structural dynamics, and computer science. The interdisciplinary knowledge and innovative research skills of the postdoctoral fellowship will be significantly improved after carrying out this challenging and meaningful project.

Keywords: floating offshore wind turbines wave energy convertors hybrid energy system fully coupled modelling hybrid testing simulation tool development multi objective optimization
Allergenicity Prediction Toolbox for novel foods (ALLPreT)

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: Life Sciences
Countries involved: Netherlands,Denmark,Austria,France,Serbia,Bulgaria,Luxembourg,Germany,United States,Slovakia,United Kingdom
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2642601.6
EU funding (EUR): 2642601.6
Participants: 24
Project status: SIGNED

Introduction of novel foods, such as insects, will strongly contribute to the security and sustainability of our food supply. However, these novels foods need to be safe (EU regulation 2015/2283). Allergenicity assessment is an essential part of the safety assessment of novel foods. Unfortunately, current methods to assess de novo allergenicity lack predictive power and are not validated. Consequently, food producers and risk assessors struggle with allergenicity assessment, slowing down the introduction of novel foods in our food supply. Enabling the safe introduction of novel foods, while protecting humans from unacceptable food allergy risks, calls for a multidisciplinary approach. The ALLPreT consortium is a highly multidisciplinary group of experts from universities, research institutes, hospitals, patient organisations and industry arising from the EU COST Action ImpARAS (Improved Allergenicity Risk Assessment Strategy). This puts them in an ideal position to consolidate their previous collaboration and set up an innovative doctoral training network in this area. The overall goal of ALLPreT is to train the next generation of scientists who can tackle the shortcomings in the current food allergy assessment of novel food products. ALLPreT will train early stage researchers (ESRs) in the core aspects of food allergy risk assessment, immunology, protein chemistry, bioinformatics, in vitro/in vivo/in silico model development and complementary “soft” skills to deliver well educated young scientists, with a unique position within the EU labour market. The ESRs will explore the new field of research on de novo sensitisation by novel foods and develop a toolbox of in vitro/in vivo/in silico allergenicity prediction tools that are scientifically sound, validated and easily usable by industry and food safety authorities. This toolbox will contribute to fast and accurate safety assessment, thereby speeding up safety approval and market uptake of novel foods.

Keywords: food allergy,allergenicity models,prediction toolbox,novel food safety,allergy sensitisation,intrinsic protein properties,routes of sensitisation,threshold of allergic concern
Crossmodal estimation of decisions, guesses and delays in decision making: a collaboration between psychology, physiology and artificial intelligence (CrossEDGE)

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: Netherlands
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-08-01
End date: 2026-08-31
Duration (months): 49.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: CLOSED

Our daily lives are full of decisions for which we could take an infinite time in order to decide as accurately as possible. However, different speed and accuracy constraints, tied to the type of decisions, the decision-maker and his environment, are limiting the time allocated. How decision-makers deal with this speed-accuracy tradeoff is an important cornerstone for the sciences studying decision making such as psychology, cognitive neuroscience and artificial intelligence. One particularly successful proposal of formal decision-making models is to assume that decision-makers are reducing or increasing decision thresholds to adapt to the speed and accuracy constraints. But recent evidence shows that this strategy is insufficient to explain the full range of behavioral and physiological data in decision tasks. The present proposal suggests, based on new studies, that speed-accuracy tradeoff is achieved by varying the reliance on three different response strategies: guessing, immediate evidence accumulation and delayed evidence accumulation. Using an interdisciplinary approach, involving experimental psychology, mathematical psychology along with cognitive neuroscience and artificial intelligence, the project aims at providing a broadly applicable framework to detect, measure, and estimate the reliance on the three strategies along with the description of the psychological processes behind these. This project will train a promising cognitive psychologist and neuroscientist to apply advanced methods in a unique and fruitful research environment linking the four disciplines. It will also provide the host organisation with new tools to study latent cognitive processes in cognitive tasks. Overall, the project will constitute an innovative approach to decision making with broad applicability, likely to increase the description and predictions we can make of behavior and psychological processes involved in decision making, in conjunction with inter-individual differences.

Keywords: model based neuroscience,decision making,artificial intelligence,mental chronometry,electrophysiology,mathematical psychology