Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
FLASH - Federated Learning Supporting Efficient and Reliable Inference over Vehicular Networks (FLASH)

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: Sweden,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-05-01
End date: 2025-04-30
Duration (months): 36.0
Total project cost (EUR): 305928.0
EU funding (EUR): 305928.0
Participants: 2
Project status: CLOSED

The FLASH project aims to establish the theoretical foundations of machine learning and wireless communications that will enable the vision of assisted and self-driving systems. Unfortunately, current systems cannot provide safe and reliable driving because they lack distributed and real-time learning algorithms meeting the critical latency and reliability requirements in highly dynamic and fast-varying wireless channels. Although the fifth generation of cellular systems supports the communication demands for assisted and self-driving, and machine learning proposes federated learning for distributed scenarios, the wireless communications and machine learning domains are not sufficiently integrated for real-time critical applications. Yet, it is only by their integration that the vision of assisted and self-driving will become real. To this end, we will establish a theoretical and algorithmic integration of federated learning and cellular networks that serve vehicles, which we refer to as federated learning supporting efficient and reliable inference over vehicular networks (FLASH). FLASH builds on the co-design of a fundamentally new ecosystem in which federated learning algorithms address critical constraints from vehicular applications, while resource allocation algorithms adapt wireless communication resources to the inference tasks. The project will implement FLASH by establishing and validating theoretical and algorithmic foundations for assisted and self-driving systems. Thus, we not only expect to have an academic impact but also a great societal impact by enabling the fulfilment of sustainable development goals through reduced fuel consumption, traffic emissions, and fatalities. Ultimately, the project provides outstanding training for a talented young researcher, Dr. Mairton Barros, at Princeton University for 24 months with Prof. H. Vincent Poor, and KTH Royal Institute of Technology for 12 months with Prof. Carlo Fischione.

Keywords: federated learning,vehicular networks,reliability,low latency,inference,autonomous driving,safety prediction,object detection
Cooperative and Interconnected Green delivery solutions towards an era of optimized zero emission last-mile Logistics (GREEN-LOG)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Innovation actions
Countries involved: Luxembourg,Sweden,Italy,Spain,Greece,Belgium,Romania,Estonia,United Kingdom,Cyprus
Call: New delivery methods and business/operating models to green the last mile and optimise road transport (HORIZON-CL5-2021-D6-01, 2021)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 7436120.5
EU funding (EUR): 6260158.0
Participants: 33
Project status: SIGNED

GREEN-LOG accelerates systemic changes in last mile delivery ecosystems for economically, environmentally and socially sustainable city logistics. The project establishes city platforms comprising of inclusive stakeholder Urban Living Labs for nurturing social innovation, designing and deploying innovative delivery solutions while allowing the most effective exchange of ideas, the development of robust, harmonized regulatory and policy frameworks, and cooperative business models that build upon effective public/private-sector collaboration and joint investments. The GREEN-LOG approach provides an innovative simulation environment for scenario building combining different solutions that allow the integration of last-mile delivery interventions with the highest possible impact on environmental sustainability and traffic reduction, while considering their financial viability. On the operational level, GREEN-LOG provides cargo-bike based innovations for sustainable micro-consolidation design and deployments, multimodal parcel deliveries integrating public transportation, Logistic as a Service platforms for interconnected city logistics and automated delivery concepts with the use of autonomous vehicles and delivery droids. The solutions are supported by interconnected city logistics dataspaces that feed dynamic services for proactive optimization of the ecosystem, respecting the interests of consumers, businesses and city stakeholders. The approach is deployed and validated in five cities and areas: Athens, Barcelona, Flanders, Oxfordshire and Ispra. Special focus is given on the transferability of the proposed innovation, starting from three follower cities with high interests in tailoring and replicating the GREEN-LOG solutions, and continuing with a pan-European outreach with intensive transfearability accelaration actions, setting the ground for the establishment of multiple city logistics Urban Living Labs.

Keywords: social innovation,cooperative business models,multimodal parcel deliveries,logistic as a service platforms,automated last mile delivery,
The first energy and cost-efficient disruptive ZLD Technology for dredged material management, allowing circular economy and zero pollution (ASEC)

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: Spain
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-03-01
End date: 2025-02-28
Duration (months): 24.0
Total project cost (EUR): 3512755.0
EU funding (EUR): 2458928.0
Participants: 1
Project status: CLOSED

Dredging is an essential activity to maintain maritime and river routes, coastal protection to flooding, among others. Every year, over 2 Bm3 of sediments are dredged around the world, 20-40% of which are highly polluted and must be treated before being disposed to landfill (as current treatment and separation technologies do not allow to cost-efficiently valorise the water and the solids from this dredged material). Water Challenge has developed and patented the first energy-efficient truly Zero Liquid Discharge (ZLD+) technology able to separate 100% of dredged material into fresh water and crystalized solids in one step, without chemicals and with very low energy consumption (<20 kWh/m3). The aim of this project is to develop a pilot plant of 10 m3/day of capacity to separate and valorise the water and solids from dredged materials. This plant will be pivotal to showcase the technology and business model, before scaling it and replicating it around Europe.

Keywords: coastal protection,dredging,design innovation,ecology,decontamination,water,green technologies
Development of high-stability manganese metal anodes via water-in-salt electrolytes for high-performance aqueous manganese ion batteries (WiSE-AMIBs)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-01
End date: 2027-12-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

This project aims to develop innovative energy storage solutions by focusing on high-concentration salt electrolytes that protect manganese (Mn) anodes in aqueous batteries. Aqueous batteries, particularly those using Mn-based anodes, offer a safer and more sustainable alternative to traditional batteries, which often rely on hazardous materials and costly manufacturing processes. However, the challenge lies in enhancing the stability and performance of Mn anodes, which are prone to issues like hydrogen evolution, corrosion, and dendrite formation. To address these challenges, the project will explore the use of advanced electrolyte formulations, specifically water-in-salt electrolytes (WiSE), which have shown promise in stabilizing multivalent metal-ion batteries. By optimizing these electrolytes and investigating the interface between the Mn anode and the electrolyte, the project aims to create a high-capacity, high-energy-density battery with enhanced safety and longevity. This research has the potential to contribute significantly to energy storage technology, offering a pathway to safer, more efficient batteries. The findings could also play a crucial role in reducing Europe's reliance on non-renewable energy sources, aligning with broader goals of energy security and sustainability.

Keywords: advanced manganese chloride electrolytes,high density energy storage,sustainable battery technology,aqueous electrolyte innovation,safety in energy applications,environmental impact reduction
Boltzmann models for polyatomic gases and mixtures: analysis, macroscopic limits and entropy methods (BAME)

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: Mathematics
Countries involved: Austria,Portugal
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-07
End date: 2027-04-06
Duration (months): 24.0
Total project cost (EUR): 230184.72
EU funding (EUR): 230184.72
Participants: 2
Project status: SIGNED

BAME is a project in applied mathematics addressing challenges in the kinetic theory of gases. The focus is on a system of Boltzmann-like equations that describes gas mixtures composed of monatomic and polyatomic gases. Evidence has shown that kinetic models accurately describe strong nonequilibrium processes in gas flows. However, most of the mathematical theory is limited to the oversimplified case of a single monatomic gas. This project aims to contribute in filling the gap between the study of more intrigant gases relevant to applications and the current state of the art in the mathematical theory of kinetic equations. Specifically, the objectives are to study the regularizing effects of the associated Boltzmann operators, as well as the integrability and smoothness of solutions, with the ultimate goal of analyzing the large time behavior using quantitative entropy methods. The project will bring together the applicant with a distinguished expertise in modelling and analysis of polyatomic gases and mixtures at the mesoscopic level and the host with a ground-breaking work on entropy methods for macroscopic reactive systems. The two levels of description will be formally linked through hydrodynamic limits during the secondment, leading to a redesign of the entropy production program for the system of interest. The fellowship will enable the applicant to gain new analytical skills and significantly enhance transferable skills through the extensive training offered by the host University of Graz. Additionally, it will greatly expand her research network, facilitate participation in leading events in the field, and ultimately strengthen the ability to establish her own research group and advance her career in academia.

Keywords: kinetic theory,system of boltzmann like equations,polyatomic gases,multi component gas mixtures,entropy methods,integrability propagation,regularity propagation,hydrodynamic limits
ANTIVIRAL, ANTIBACTERIAL & ANTIFUNGAL NANOCOATING PLATFORM (NANOBLOC)

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: Research and Innovation actions
Countries involved: Italy,Spain,Germany,Belgium,Portugal
Call: Antimicrobial, Antiviral, and Antifungal Nanocoatings (RIA) (HORIZON-CL4-2021-RESILIENCE-01, 2021)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 5727388.75
EU funding (EUR): 5727386.0
Participants: 10
Project status: SIGNED

The NanoBloc consortium of 4 leading universities & institutes, and 5 companies (3 SMEs & 2 large enterprises) will develop & upscale (from TRL3 to TRL6) new all-European antimicrobial, antifungal & antiviral coatings made by industrially scalable, green technology suitable for application on a variety of substrates- porous filter materials (air filtration units, face masks), textiles (protective clothing, mattress covers, aprons, wallpaper), & on a variety of high-traffic solid surfaces (door knobs, handles, handrails, sanitaryware-taps, etc.). A research line will focus on thin coatings- <200 nanometers- deposited by Physical Vapour Deposition, formed by a glass and/or ceramic matrix (e.g. silica) capable of incorporating silver or other metal nanoparticles, which can be applied on countless substrates. These coatings allow a gradual release of ions without dispersing the nanoparticles in the surrounding environment & have demonstrated their effectiveness toward proliferation of bacteria, fungi & viruses including respiratory syncytial virus, influenza virus A & with demonstrated virucidal effect towards SARS-CoV-2 on face masks. They can withstand temperatures up to 450 degrees celsius without altering their antimicrobial properties, thereby suited for thermal regeneration. In addition, the project will build on previous work in obtaining coatings effective against a range of pathogens using technologies such as UV cured lacquers, sol-gel and electrophoretic deposition. A key strength in our approach is in merging these research lines to obtain innovative products that will be brought to market by our industry participants. New knowledge generated in the project on antiviral mechanisms & coating durability in operating conditions, will be used to select the most suitable technology for each application & to develop and up-scale effective & durable biocidal/virucidal coatings to relevant demonstrators with no toxic effects for health & environment.

Keywords: physical vapour deposition wet chemistry coatings organic and inorganic coating,uv cured lacquers,sol gel,antiviral mechanisms and coating durability
Terrorist Group Adaptation & Lessons for Counterterrorism (TERGAP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Terrorist groups find ways to adapt to changes in their environment to stay relevant and powerful. This project offers new insights into this phenomenon by developing a more nuanced theoretical strategic framework and using quantitative methods to examine how terrorist groups survive, and sometimes thrive, despite efforts to combat them. This is accomplished by integrating political psychology, social movement, and terrorism research, and applying big data analytics and machine learning common in brain sciences, natural sciences, and bioinformatics to identify adaptation patterns in terrorist attack target selection and brutality. First, this project frames terrorism as a recruitment tool for manipulating potential supporters’ psychological needs, like vengeance. Repressive government actions lead to desires for vengeance and thus create opportunities for acts of terrorism specifically attacking the repressive actor to signal a terrorist group’s capability for fulfilling this psychological need. As such, we should observe strategic short-term changes in terrorism following government repression in the data. This is tested using Event Coincidence Analysis, a method for identifying synchronization patterns and trigger rates from one event to another. Second, because terrorist groups can also adapt to changes in counterterrorism, this project proposes two data collection efforts that enable big data analytics to identify adaptation patterns. The first focuses on counterterrorism policies using government reports and covers a global sample of countries. The second creates a novel large-N cross-national counter-terrorist actions dataset using natural language processing machine coding of news articles. Hierarchical clustering analyses will then be used to detect patterns of terrorist group adaptive behaviours and build predictive models that anticipate adaptation. This has implications to improve counterterrorism and make it more proactive, focused, and effective.

Keywords: terrorism,counterterrorism,repression,vengeance,big data,recruitment
Circular Agri-Food Ecosystems: bringing nutrients back to the soil (CAFE)

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 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-10-01
End date: 2025-03-31
Duration (months): 30.0
Total project cost (EUR): 264693.6
EU funding (EUR): 264693.6
Participants: 2
Project status: CLOSED

In current "conventional" agricultural practices, most farmers depend on synthetic fertilizers and nutrients extracted during harvests are seldom brought back to the soil. This open-circuit organization of food systems induces the prospect of phosphate shortage and consumes large amounts of abiotic resources and energy to generate fertilizers or process nutrients once they end up in sewage. Such a linear and extractive system, together with current fertilizer application methods, has incurred great social and environmental costs around the world, leading to significant biodiversity loss, soil erosion and salinisation as well as nutrient leaching. Finally, animal-based diets in the largest economies further increase the pressure on food systems as feeding animals inflates land and nutrient use. Source separation of organic matter and its recovery are likely to be critical for the long-term sustainability of the agri-food and waste-management systems in an increasingly urban world. Indeed, the transformation of kitchen or green waste and human excreta can provide invaluable resources such as compost, fertilizers, or energy and eventually remove the need for synthetic fertilizers. This project will develop prospective scenarios for nutrient recovery and assess how far they can bring the agri-food system on the path to circularity. Using complex networks and systems methods, we will convert and analyze existing datasets to generate logistics networks associated to these scenarios. These networks will model the fluxes of organic matter between sources (habitations), processing or storage locations, and sinks (parcels). We will also assess the impact of dietary changes and low-fertilizer or agro-ecological practices compared to business-as-usual situations. This will enable us to evaluate the technical feasibility of these recovery scenarios and quantify how much they improve agri-food sustainability and can help local actors tackle their socio-ecological transition.

Keywords: source separation,biowaste,nutrients,agri food systems,urban networks,urban metabolism,human excreta,fluxes,logistics,urban planning,circular economy
3d-printed structural joint details for sustainability and robustness in steel frames (AM Joint)

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: 2025-07-15
End date: 2027-07-14
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

The construction industry needs optimal solutions to meet sustainability goals, reduce carbon emission, decrease material consumption and improve the speed of construction. In addition, economic and resource efficiency play a significant role in utilizing new methods and technologies. Developing innovative construction techniques to meet all these criteria has been a challenging topic recently. Therefore, the present study introduces a novel steel frame connection as an alternative to nominally pinned joints in steel frame buildings, which in addition to providing safety under normal conditions, also significantly improves the robustness of the frame in extreme conditions such as column loss, and prevents progressive collapse. The topology of the components will be optimised to have a high capacity to sustain normal loads along with the tie forces due to column removal. Consequently, optimised components will be constructed using additive manufacturing (AM) techniques that will result in savings in material consumption. Considering a simple configuration that combines AM with traditional construction methods, the provisional connection will provide a fast and easy assembly process. The efficiency and structural performance of the proposed connection under normal loads as well as extreme tie forces will be evaluated through a comprehensive numerical and experimental study which is elaborated in the current research proposal. A close connection with industrial partners and intensive interaction with other academic entities will ensure the efficiency and effectiveness of the proposed connection. Comprehensive design guidelines along with quantified assessments of environmental and economic benefits will be developed in order to facilitate the practical application of the proposed connection.

Keywords: steel structures steel connections additive manufacturing joint details robustness deconstruction digital manufacturing