Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Eco-friendly and high-performance thermal insulating fibre reinforced mortar to be applied on walls as a coating or panel (Eco-Mortar 2.0)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Portugal
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2023-10-02
End date: 2025-10-01
Duration (months): 24.0
Total project cost (EUR): 156778.56
EU funding (EUR): 156778.56
Participants: 1
Project status: CLOSED

One of the priorities of the 2030 Agenda is to achieve a sustainable development path to balance environmental, social and economic needs for present and future generations. The United Nations Sustainable Development Goals (SDGs) are the blueprint to achieve a better and more sustainable future. The Green Deal is the roadmap towards the application of the 2030 Agenda and the SDGs in all European policies. In this context, the European construction industry faces great challenges that need real solutions. On the environment side, it is clearly a sector with an unsustainable environmental profile that will need to overcome the traditional linear path of production and consumption to adopt a Circular Economy model and Energy Efficient solutions. The number of studies on new sustainable solutions to minimize the incorporation of processed raw materials or improve thermal insulation properties of mortar have increased. Examples relate to the use of stone sludge waste from the cutting process as filler in rendering mortars or fibres from textile waste to reduce its cracking or to the increased insulation of rendering mortars through the incorporation of cork (recycled by-product of the cork industry) or silica-based aerogels (nano-structured material) as lightweight aggregates. However, studies focused on combination stone sludge waste, textile waste, recycled cork together with aerogel in mortars have not been found in the current literature. The main objective of the Eco-Mortar 2.0 project is to develop an eco-friendly and high-performance thermal insulating fibre reinforced rendering mortar for wall exterior retrofitting or wall panels coating of buildings by using diabase sludge from stone cutting as filler, recycled cork and aerogel granules as lightweight aggregates and textile waste as fibres. This mortar will decrease the use of non-renewable natural resources, improve thermal insulation and allow shrinkage cracking control.

Keywords: circular economy,energy efficient,environmental,durability,mortar,waste,nanotechnology,thermal insulation,high performance,filler,fibre,aggregate,diabase sludge,textile,cork,aerogel
Microfluidic Diffusion-based Chiral Resolution (CRMS)

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
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): 190078.52
EU funding (EUR): 190078.52
Participants: 2
Project status: SIGNED

Chirality is an essential property of nature, producing and regulating fundamental phenomena in living matter. Chiral compounds are widely used in medicine, clinical, pathological, and other fields. Different enantiomers of chiral molecules have significant differences in pharmacological activities, metabolic effects, toxicity, and even opposite effects. Since most chiral compounds exist in the racemic form, it is important to develop strategies for rapid and efficient separation and purification of chiral compounds to deal with inevitable future threats such as diseases and viruses. Although many techniques for chiral resolutions have been developed over the years, most of them are impeded by low efficiency and accuracy, high energy consumption, tedious preparation and operation and high cost. Therefore, I propose a project, CRMS “Chiral Resolution using Microfluidics and helical Supramolecular polymers” which aims to develop a simple diffusion-based strategy for chiral resolution by incorporating helical supramolecular polymers (HSPs). In this project, I will combine the ability of HSPs to recognize the handedness of chiral molecules through non-covalent interactions with the diffusion-based separation ability of microfluidics for the enantio-separation of chiral molecules. I chose microfluidics for chiral resolution because it is a cost-effective and energy-efficient technique that takes advantage of the natural flow properties of the fluids entering the flow reactor for diffusion-based separation. CRMS project will not only start a new area of research in the junction of supramolecular chirality and flow chemistry but also have applications in pharmaceutical and cosmetic industries for enantio-separation of chiral drugs/ingredients.

Keywords: supramolecular polymers,helical supramolecular polymers,microfluidics,flow chemistry,chiral resolution,enantioseparation,diffusion based separation,racemic mixture
Cognitive edge-cloud with serverless computing (EDGELESS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Germany,United Kingdom,Portugal,Greece,France
Call: Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-02-28
Duration (months): 38.0
Total project cost (EUR): 4942958.75
EU funding (EUR): 4942958.75
Participants: 17
Project status: SIGNED

EDGELESS is set to efficiently operate serverless computing in extremely diverse computing environments from resource-constrained edge devices to highly-virtualised cloud platforms. By taking advantage of AI/ML solutions, it will enable automatic deployment and reconfiguration to fully exploit compute resources available on clusters of nearby edge nodes. EDGELESS will define novel orchestration systems that provide a flexible horizontally scalable compute solution able to fully use heterogeneous edge resources, while preserving vertical integration with the cloud and the benefits of serverless, including its application programming model. It will address edge systems at design stage, particularly targeting low-latency, high-reliability applications with computationally-intensive tasks, requiring specialised hardware or a trusted environment. This ambitious challenge will be met via distributed computing solutions to partition the edge environment in clusters, each managed as a local decentralised serverless platform. In each cluster, orchestration and scheduling of jobs will run smoothly thanks to real-time monitoring of short-term load/network/energy conditions and anticipatory AI-powered algorithms to manage lightweight virtualised lambda executors, e.g., unikernels. Environmental sustainability will be boosted by dynamically concentrating resources physically (e.g., by temporarily switching off far-edge devices) or logically (e.g., by dispatching tasks towards a specific set of nodes), at the expense of performance-tolerant applications. Clusters will cooperate with each other and with all the layers in the edge-cloud continuum to compose complex applications on-demand through a FaaS paradigm. EDGELESS innovations will be validated through testbeds (near-edge MEC and two small-device lab setups), integrated through a federated edge-cloud infrastructure, and three pilots: Autonomous Smart City Surveillance, Internet of Robotic Things, and HealthCare Assistants.

Keywords: cloud architecture,ai ml,orchestration,real time data analytics,edge systems,distributed computing,5g integration,smart city,internet of robotic things,healthcare assistant,anomaly detection
CCAM-Employment Realization through the Acquisition of Skills (CCAM-ERAS) (CCAM-ERAS)

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: Research and Innovation actions
Partnership: CCAM (co-programmed)
Countries involved: Netherlands,Belgium,Cyprus,Germany,Norway,Poland,Switzerland,United Kingdom
Call: CCAM effects on jobs and education, plans for skills that match the CCAM development, and prerequisites for employment growth (CCAM Partnership) (HORIZON-CL5-2023-D6-01, 2023)
Start date: 2024-06-01
End date: 2026-07-31
Duration (months): 26.0
Total project cost (EUR): 1793381.25
EU funding (EUR): 1793381.25
Participants: 15
Project status: SIGNED

CCAM-ERAS aims to build towards the future and address the transition to connected, cooperative and automated mobility (CCAM) from a socio-economic perspective. The project will develop the necessary knowledge and prepare for the possibilities that potentially will arise from the deployment of CCAM, and will aim to increase knowledge regarding the necessary skills required for CCAM deployment. CCAM-ERAS will take advantage of the possibilities arising from CCAM deployment, by envisioning a future whereby CCAM can contribute towards a more attractive and inclusive labour market by providing solutions to ensure that the relevant skills are available and are able to be up scaled across the entire CCAM value chain. Mitigating the resulting effects of introduction of CCAM requires multi-sectoral knowledge and cooperation between what were previously separate sectors (transport, technology, education etc.) CCAM-ERAS will develop new approaches and solutions to anticipate and mitigate the impacts and rebound effects on potential job losses and job relocations due to the deployment of road based CCAM systems and services, as well as boost innovation capabilities through the availability and upscaling of CCAM-specific professional skills. Schemes and actions that can contribute to the specific labour market challenges will be developed, in relation to specific 'real world' use cases. CCAM-ERAS will also identify innovations and key innovators relating to CCAM deployment, particularly those relevant to the employment, socio-economic and skills effects Including various stakeholders in the project activities will be crucial in achieving credibility and support for the results of the project. The development of a roadmap to support the socio-economic transition to CCAM will contribute to the legacy of the project. CCAM-ERAS therefore offers a set of building blocks that pave the way for a smooth transition to CCAM deployment over the short, medium, and long term.

Keywords: labor market,ccam,economic model,impact assesment network,skills,employment and transport policies,roadmap,innovation radar,stakeholder engagment
Exposing Spatio-Temporal structures of turbulence in the Atmospheric Boundary Layer with In-Situ measurements by a fleet of Unmanned Aerial Systems (ESTABLIS-UAS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-04-01
End date: 2027-09-30
Duration (months): 66.0
Total project cost (EUR): 1479205.0
EU funding (EUR): 1479205.0
Participants: 1
Project status: SIGNED

Exchange and transport processes in the atmospheric boundary layer (ABL) are driven by turbulence on a wide range of scales. Their adequate parameterization in numerical weather prediction (NWP) models is essential for a high predictive skill of forecasts. In heterogenous and complex terrain, the common simplification of turbulence to statistical models does not necessarily hold. Coherent structures such as convective cells, secondary circulations, gusts, slope and valley flows can be summarized to sub-mesoscale structures which are not well represented in models. A reason for the lack of understanding of these flow features is the challenge to adequately sample their spatio-temporal structure and their contribution to the energy budget of the ABL. The project ESTABLIS-UAS will provide methods to expose spatio-temporal structures in the ABL with in-situ measurements by a fleet of unmanned aerial systems (UAS). For this purpose, small, rotary-wing UAS will be enabled to measure three-dimensional wind, temperature and humidity in organized, spatially distributed networks. The project will include a three-fold approach to validate single UAS measurements, fleet observations and methods to derive spatial averages and fluxes. Wind tunnel tests, field experiments and virtual measurements in numerical simulations will be performed. The validated UAS fleet will be deployed in two campaigns in the framework of the TEAMx research programme, focusing on the mountain boundary layer (MoBL). The ESTABLIS-UAS measurements will fill observational gaps in the sub-mesoscale. The analysis of the UAS fleet data in synthesis with ground observations and remote sensing will provide unprecedented new insights into the complex MoBL flow and the components of its energy budget. The results will foster the development of new and better parameterization of the ABL in complex terrain.

Keywords: boundary layer,turbulence,unmanned aerial systems
Treasure from trash: mining critical elements from sewage sludge using plants (MinE-UP)

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: Environment and Geosciences
Countries involved: Netherlands,France
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 2
Project status: SIGNED

The global consumption of metals and metalloids is increasing rapidly owing to an ever-growing demand from technology and renewable energy industries. These include selenium (Se), cobalt (Co), and nickel (Ni) for which the 2050 projected consumption is expected to be 5 to 10-folds higher than today. These elements are defined as “critical” since their supply is expected to be critically limiting in the near future. Considering the increasing demand for critical metal(loid)s, the use of sewage sludge (SS) as alternative resource of these raw materials can constitute an appealing alternative to make “treasure out of trash”, thereby promoting the circular economy. MinE-UP aims at contributing to the supply of Se, Co, and Ni exploiting metal(loid) enriched SS through targeted phytomining. The envisaged solution will utilize degraded mined land as locations in which SS phytomining can safely take place. MinE-Up is expected to: 1) Reduce of the overall amount of disposed SS and the connected environmental and economic costs; 2) Generate a positive environmental impact by enhancing ecosystem restoration in mined areas; 3) Contribute to the valorization of mined lands, creating new opportunities for local communities. 4) Characterize the new plant-based products (Se, Co, Ni bio-ores) and evaluate their possible applications. MinE-UP outcomes will have relevant impacts at scientific, economic, and societal levels. They will range from the investigation of metal accumulation physiology in plants growing on SS, to the assessment of the process effects on land remediation. From the agronomical aspects of hyperaccumulator cultivation, to the procedures of extraction and purification of the valuable elements and molecules contained in hyperaccumulator biomasses. In the long period, MinE-UP innovative methodologies could help in modernizing and re-invent SS disposal methods, giving a second life to this waste while possibly directing the updating of national and EU regulations.

Keywords: critical raw materials,phytoextraction,phytominig,sewage sludge,biosolids,hyperaccumulator plants,waste management,mined land reclamation selenium,cobalt,nickel
TWINNING FOR ENHANCING THE SCIENTIFIC EXCELLENCE OF FACULTY OF TECHNOLOGY NOVI SAD FOR INNOVATIVE SOLUTIONS TO PROTECT ENVIRONMENTAL RESOURCES FROM CONTAMINANTS OF EMERGING CONCERN (TwiNSol-CECs)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Serbia,Spain,Portugal
Call: Twinning Western Balkans Special (HORIZON-WIDERA-2021-ACCESS-02, 2021)
Start date: 2022-08-01
End date: 2025-11-30
Duration (months): 40.0
Total project cost (EUR): 1432937.5
EU funding (EUR): 1432937.5
Participants: 3
Project status: SIGNED

Surveillance of contaminants of emerging concern (CECs) has important role in protection of both humans and the environmental resources, which is a goal in compliance to the European Green Deal (EGD) commitment for transition of EU to zero-pollution, toxic free environment. However, there is a significant gap between countries and regions in terms of the scientific and innovative capacities needed to tackle the challenge that CECs in the environmental compartments present. Overall objective of TwiNSol-CECs is to raise scientific and innovation excellence of the Faculty of Technology Novi Sad (TFNS), Serbia, in various aspects of the CECs research, integrated in broader EU networks of excellence, and contributing to national and regional scientific and economic growth and well-being. Specific TwiNSol-CECs objectives are: 1. Stepping up the excellence of the TFNS scientific capacity and resources in field of the wide-range CECs’ surveillance and innovative removal technologies, contributing to the stronger R&I system in Serbia and WBs integrated in the EU networks of excellence, 2. Intensification of strategic networking activities of TFNS with 2 top-class leading research institutions at EU level: Spanish National Research Council, Institute of Environmental Assessment and Water Research (CSIC), Spain, and NOVA University Lisbon, NOVA School of Science and Technology (UNL), Portugal, 3. Raising reputation, research profile and attractiveness of TFNS and its staff, 4. Strengthening the research management and administration skills of TFNS, and 5. Improving the TFNS creativity in new R&I approaches for the CECs’ wide range surveillance and removal with increasing mobility of qualified scientists. The project represents a coherent set of knowledge-, skills-, experience-, and awareness- raising activities, dissemination, communication, networking, coordination, etc. for successful achieving of the project objectives.

Keywords: western balkans,environmental protection,contaminants of emerging concern
Fostering social tipping dynamics to Accelerate Sustainability Transitions (FAST)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1999995.0
EU funding (EUR): 1999995.0
Participants: 1
Project status: SIGNED

Staying within a maximum global warming of 1.5 degrees requires an acceleration of the transition to a low carbon society. Current theory views such sustainability transitions as inevitably slow as they require interdependent changes throughout socio-technical systems. The observation that energy transition scenarios systematically underestimate the diffusion of key technologies challenges this view. Existing models that form the basis for energy transition scenarios do not include the positive feedbacks resulting from the interactions between civil society and energy transitions. Yet these interactions have been identified as important drivers and barriers of energy transitions, and as crucial in triggering the social tipping dynamics that can accelerate the energy transition. Social tipping dynamics in energy transitions occur when a small change or intervention has a large effect on emission reductions. To date, some examples of social tipping dynamics have been identified, but both a systematic understanding of the mechanisms underlying social tipping dynamics and an evaluation of their potential policy leverage is missing. The overall objective of the FAST project is to explain and model social tipping dynamics and interventions in energy transitions. This requires a model that explains how the social factors influencing sustainability transitions scale up to realize social tipping dynamics. To this end I will use a novel combination of bottom-up agent-based modelling and top-down diffusion modelling to capture the interactions in socio-technical systems that create tipping dynamics. This will bridge the qualitative field of sustainability transitions and the quantitative field of energy transitions modelling. A team consisting of the PI, 3 PhD students, a postdoc and a research assistant will conduct the proposed study over five years. This is the first study that systematically integrates social tipping dynamics in quantitative models of energy transitions.

Keywords: sustainability transitions,energy transitions,agent based models,social tipping dynamics,socio technical transitions