Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Forensic Analysis of Concrete Through Image Processing (FACIP)

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: Norway
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): 226751.04
EU funding (EUR): 226751.04
Participants: 1
Project status: SIGNED

The proposal is about the Forensic Analysis of Concrete through Image Processing (FACIP), which offers several improvements over traditional methods of forensic analysis (FA) of concrete. Unlike manual inspection, the proposed method automates and streamlines the process, reducing human effort and evaluation time. FA of concrete is commonly used to determine particle size, shape, aggregate ratio, porosity, and other physical characteristics that affect concrete performance. This project aims to develop an innovative approach that utilizes image processing (IP) and Convolutional Neural Networks (CNN) to enhance FA of concrete structures. By accurately and efficiently detecting, characterizing, and quantifying various concrete defects such as cracks, spalling, corrosion, and delamination, the project aims to extract intricate patterns and features from concrete images through deep learning, improving FA accuracy. This ambitious objective pushes the boundaries of current research in FA of concrete, opening the door to discoveries and advancements. By combining IP and CNN for FACIP, the research aims to develop innovative methodologies and tools that surpass the limitations of existing techniques, such as Core Cutting, Schmidt Hammer, and UPVs, providing accurate and reliable analysis results. This contributes to developing more effective concrete maintenance, repair, and structural integrity assessment strategies. Ultimately, the project aims to provide concrete forensic experts with advanced, reliable, and time-efficient analysis methods, enhancing concrete forensic investigations' overall accuracy and effectiveness.

Keywords: forensic analysis of concrete,image processing,convolutional neural networks,compressive strength
Non-Western Migration Regimes in a Global Perspective (MARS)

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: Social Sciences and Humanities
Countries involved: Sweden,Türkiye,Egypt,Switzerland,Japan,Uzbekistan,Kazakhstan,Indonesia,Ghana,Argentina,Austria,Finland,Netherlands,Lithuania,United Kingdom,United States,Denmark,Poland,South Africa
Call: MSCA Staff Exchanges 2022 (HORIZON-MSCA-2022-SE-01, 2022)
Start date: 2024-02-01
End date: 2028-01-31
Duration (months): 48.0
Total project cost (EUR): 1564000.0
EU funding (EUR): 1564000.0
Participants: 31
Project status: SIGNED

According to the latest World Migration Report, 12 of the 20 top destinations for international migrants in 2020 were countries not belonging to what are considered traditional (Western) migrant-receiving countries in North America, Western Europe, and Australia. Yet, despite these ever-growing migratory processes in non-Western migration locales, the mainstream literature remains largely focused on the study of migrants’ experiences and immigration policies in the context of traditional Western liberal democracies. As a result, major non-Western migration destinations elsewhere in the world remain underrepresented by existing theories and comparative research within migration studies. The overarching objective of the MARS is to increase our scientific understanding about global, regional and national governance of migration and mobilities and thereby to contribute to the global and national efforts to facilitate safe, regular and orderly migration. This aim will be accomplished by conducting research and a staff exchange programme on non-Western migration regimes. More specifically, MARS is constructed around three interlinked goals, which are to 1) collect original empirical data on the interplay between migration governance processes and migrants’ experiences in non-Western migration locales; 2) engage with and situate our research in relevant theoretical and comparative debates within migration studies and thereby advance scholarly discussion on contemporary migration regimes (comparative migration studies) by developing new conceptual and methodological approaches to understanding migratory processes in non-Western locales; and 3) translate research findings into policy-relevant ways, including presentations and policy papers to provide strategic intelligence and policy insights for international organisations, development agencies, decision-makers, and practitioners inside and outside the EU on possible ways to improve migration governance practices.

Keywords: migration the global south non western migration regimes
Resource efficient materials for Additive Manufacturing (REPAM)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Processes4Planet (co-programmed)
Countries involved: Sweden,Germany,Türkiye,Spain,France,United Kingdom,Belgium,Italy
Call: Breakthroughs to improve process industry resource efficiency (Processes4Planet partnership) (RIA) (HORIZON-CL4-2024-TWIN-TRANSITION-01, 2024)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 13149076.83
EU funding (EUR): 10635440.6
Participants: 19
Project status: SIGNED

The process industries that support additive processes are inefficient. For example, producing new metal powder in state-of-the-art processes has only 30-50% yield, with excess powder sent to lower-value uses or remelted at great energy loss. The incorporation of scrap into additive processes represents challenges in manufacturing process stability and the stability of powder production processes. Difficulty in recycling some advanced alloys that are used in additive processes makes such circular thinking difficult. REPAM aims to combat these issues across the entire process chain, starting with an industrial powder producer and researchers to deploy advanced sensors in new ways to optimise powder production process monitoring and enable the creation of new process models, including artificial intelligence. Recycling processes are also targeted by exploring the transformation of material waste into wires for directed energy deposition and scrap into powders for directed energy and powder bed processes. The manufacturing processes themselves are considered with advanced monitoring tools in combination with artificial intelligence models to enable real-time process control and optimisation, which will permit the use of a wider range of scrap in such processes. Materials design principles shall be applied to make alloys more robust for recycling purposes. Finally, the reconditioning of old or degraded metal powders is investigated to develop the technology for industrial readiness and thereby offer a more sustainable way to reuse these powder instead of simply melting them in bulk processes. All of these steps offer a reduction in materials losses and an acceptance of a wider range of materials into additive processes, in line with the work programme. REPAM aims to put the additive transformation on a sustainable footing and allow Europe to lead the way in this green paradigm shift, with the associated competitive and security benefits for the entire value chain.

Keywords: circularity recycling metals resource efficiency additive manufacturing
Multiparametric nanoelectronic biosensors for therapy response testing (MUNASET)

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: Research and Innovation actions
Countries involved: Germany,Spain,Finland,Belgium
Call: 2D materials-based devices and systems for biomedical applications (RIA) (HORIZON-CL4-2022-DIGITAL-EMERGING-02, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 4000206.25
EU funding (EUR): 4000206.25
Participants: 6
Project status: SIGNED

Proteases recently emerged as a promising new class of biomarkers with a broad diagnostic, prognostic and therapeutic potential for different human diseases including neurological and psychiatric diseases, several types of cancer, and immune system disorders. However, there is a lack of tools for real-time activity analysis of disease-related protease biomarkers. To address this issue, we propose to develop a highly sensitive graphene-based biosensor platform for parallel detection of multiple proteases in serum. We will exploit a new label-free sensing mechanism based on charge removal due to cleavage of designer peptides by proteases. As a specific business case, we plan to address therapy response prediction along treatment of major depressive disorder (MDD). MDD is one of the most common and burdensome mental disorders worldwide. MDD is also among the most expensive brain diseases in Europe. While effective treatments exist, there is a high variability in treatment response. There are no serum-based tests to predict personalized therapy for MDD patients. The effective treatment is identified through trial and error, a great burden for patients and the health care system. A rapid, sensitive and easy-to-use test would allow faster and more precise treatment identification, improving therapy outcomes and reducing hospitalization times. Here, we plan to detect two protease biomarkers associated with MDD. The biosensors will be validated in clinical serum samples. Arrays of graphene biosensors will be integrated on silicon wafers with a multiplexed readout matrix to realize a miniaturized sensor system with multi-analyte detection capability, high dynamic range, high precision, low detection limit, and low material consumption. The resulting platform technology may enable various point-of-care diagnostic and therapy prediction tools. This will help secure industrial leadership of the EU over the entire value chain of novel graphene-based bio-analytical tools.

Keywords: graphene,biosensor,protease,depression,therapy
MAINSTREAMing small-scale BIO-based solutions across rural Europe via regional Multi-actor Innovation Platforms and tailored innovation support (MainstreamBIO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Circular economy and bioeconomy sectors
Action type: Coordination and support actions
Countries involved: Greece,Ireland,Netherlands,Poland,Sweden,Bulgaria,Denmark,Spain,Belgium
Call: Mainstreaming inclusive small-scale bio-based solutions in European rural areas (HORIZON-CL6-2021-CIRCBIO-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 2999031.25
EU funding (EUR): 2999031.25
Participants: 10
Project status: SIGNED

The development of the bioeconomy holds great potential for driving growth in a sustainable manner. Still, many European regions have yet to unlock this potential, despite considerable investments in research, innovation and business support. In this context, MainstreamBIO sets out to get small-scale bio-based solutions into mainstream practice across rural Europe, providing a broader range of rural actors with the opportunity to engage in and speed up the development of the bioeconomy. We start with regional Multi-actor Innovation Platforms (MIPs) established in 7 EU countries (PL, DK, SE, BG, ES, IE and NL) to enhance cooperation among key rural players towards co-creating sustainable business model pathways in line with regional potentials and policy initiatives. Alongside them we support 35 multi-actor partnerships to overcome barriers and get bio-based innovations to market with hands-on innovation support, accelerating the development of over 70 marketable bio-based products and services. In parallel, we develop and employ a digital toolkit to better match bio-based technologies, social innovations and good nutrient recycling practices with available biomass and market trends as well as to enhance understanding of the bioeconomy with a suite of educational resources building on existing research results and tools. Along the way, a monitoring and evaluation framework will gauge the performance and impact of our measures, providing us with the intel required to catalyse mutual learning across regions and contribute to the creation of policy frameworks more conducive to the uptake of small-scale bio-based solutions in rural areas. In the process, we cluster with relevant initiatives and offer tools to facilitate the replication of our results, ensuring their long-term sustainability as viable solutions for supporting the growth of local inclusive and circular bioeconomies in other rural areas, that can ultimately link to form a strong EU‑wide circular bioeconomy.

Keywords: small scale bio based solutions nutrient recycling scale up innovation support services sustainable rural development multi actor innovation platforms social innovation
Spatial Policies for the Environment and Equal Development (SPEED)

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: Economic Sciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

During the past decades, the connection between the economy and the climate came to the center of attention. However, while scholars and policymakers have been questioning the sustainability of the global economy, many factors have been limiting the design and implementation of coordinated worldwide mitigating policies. Therefore, the predictions for potential impacts on the world economy, and especially on low-income countries, are not optimistic. In this context, developed economies are designing and implementing, unilaterally, stricter environmental policies, like the European Green Deal (EGD): a set of transformative policies for the European Union (EU) to ensure net-zero emissions in the EU while leaving no person and place behind. These spatial policies - i.e., implemented in the EU and not elsewhere - are ambitious but risky, due to interactions with a less stringent rest of the world (e.g., taxing emissions forcing energy-intense industries to reallocate out of the EU). How can the interaction of these environmental policies, between them and with the rest of the world, affect the EU’s transition to a net-zero emission, growing economy? How to assure that such a process entails equal economic development within the EU and worldwide? The SPEED project - Spatial Policies for the Environment and Equal Development - will answer these questions. For that, it will start by building the ideal theoretical grounds with state-of-the-art spatial economic models capable of accommodating a wide range of spatial policies. Then, by combining these models with novel, high-resolution spatial datasets, it will perform counterfactual policy experiments that will showcase the efficiency of (and the underlying economic mechanisms behind) these policies. This hybrid theory-empirics approach will provide well-founded and carefully quantified answers to the proposed questions, informing policymakers about the trade-offs behind spatial policies like EGDs.

Keywords: place based policies,carbon taxes,environmental policies,regional development
Challenging the gender binary: Empirically unravelling the limitation of the male-female categories (BeyondGenderBinary)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Israel
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-06-01
End date: 2027-11-30
Duration (months): 66.0
Total project cost (EUR): 2446001.25
EU funding (EUR): 2446001.0
Participants: 1
Project status: SIGNED

The ultimate goal of this project is to free science and society from the unfounded dogma of sex categories as all-encompassing dichotomies, and to promote a world in which the male-female categories are restricted to the domains in which they have been shown to play a central role (e.g., reproductive medicine), rather than a-priori assumed to do so (e.g., mind and brain). According to the modern normative view of sex and gender (the ‘gender binary’), each of two biological sexes (male/female) is associated with a typical, coherent gender identity (man/woman), sexual attraction towards the ‘other’ sex, a set of psychological and behavioral characteristics (masculinity/femininity), and the neural substrates on which these rely (‘male’/‘female’ brains). In the past decade I led a scientific research project challenging the binary view of human brains. Using diverse analytical tools, we discovered that brains are not ‘female’ or ‘male’ but rather comprised of unique ‘mosaics’ of female-typical and male-typical features. On the basis of the mosaic framework, the multi-level analysis tools we developed, and my expertise in psychology, the proposed research project will use self-reports and indirect measures to collect rich data from large and diverse samples on the four psychological components of the gender binary (psychological characteristics, gender identity, attitudes towards the sexed body, and sexuality) and their interrelations to discover how they are best described when freed from the dogmatic binary framework. Focusing also on the experiences of presumably ‘typical’ populations (i.e., cisgender, heterosexual individuals) we will map variability in domains assumed to be homogenous and advance thinking about nonconformity as a matter of diversity rather than pathology. More broadly, the proposed research project will undermine the ancient categorization of humans into men and women and the unjust gendered social order this categorization helps maintain.

Keywords: gender,gender binary,gender identity,sexuality
Optimizing multifunctional forest-based value chains with single tree information and application of digital technologies (SingleTree)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Research and Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Norway,Sweden,Finland,Spain,Switzerland
Call: Optimised forest-based value chains for high value applications and improved forest management (HORIZON-JU-CBE-2023, 2023)
Start date: 2024-09-01
End date: 2028-08-31
Duration (months): 48.0
Total project cost (EUR): 5152152.5
EU funding (EUR): 4997527.5
Participants: 14
Project status: SIGNED

European forests, pivotal in the bioeconomy and provision of ecosystem services, face growing challenges from climate threats, impacting their multifunctional roles from carbon sequestration to biodiversity and recreation. "SingleTree" seeks to transform forest management, aligning with the EU’s Bioeconomy Strategy, Rural Vision, Biodiversity Strategy, and the European Green Deal. SingleTree leverages cutting-edge data capture and AI technologies to monitor individual tree attributes, health, and biodiversity ensuring a holistic approach to multifunctional forest management. By developing solutions for forest health monitoring and wood quality control, the project aims to enhance sustainable forest management, considering the diverse European and regional forest varieties. Data acquisition across the value chain, from forest operations to wood processing, will be optimized, aiding decision-making processes, from harvesting timings to treatment options. Using a co-creation approach with Living Lab value chains, the project quickly develops solutions addressing real-world challenges. It focuses on boosting forest resilience, preventing biodiversity loss due to climate change, and maximizing the use of different wood grades. SingleTree prioritizes the full utilization of forest biomass, highlighting the carbon retention of premium wood. Furthermore, SingleTree will assess the environmental and social impacts of its innovations, focusing on biodiversity enhancement, resource efficiency, and the implications for stakeholders. The project encourages regional and local entities, particularly SMEs, to adopt innovative business models emphasizing sustainability, circularity, and tiered biomass use. This strategy enhances material utilization and highlights the balance of trade-offs, synergies, and community involvement, ensuring beneficial outcomes for the environment, society, and economy in regional and rural areas.

Keywords: enabeling technologies,single tree,value chain,ai,optimization,adaptive management,wood quality,biodiversity,forest health,remote sensing,inteligent machines,biomas supply