Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Mobility of Volatiles in the Earth’s Mantle by Experimental and Numerical Technics (MoVEMENT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-02-01
End date: 2022-04-01
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

Volatiles cycle plays a critical role in the humanity’s existence by defining the habitability conditions prevailing at the Earth’s surface. Mantle is a major actor of this cycle by hosting considerable proportions of carbon, and also hydrogen. Understanding the exchanges and fluxes of carbon (and water) between the upper mantle and exosphere remains a primary goal in the Earth sciences community, but critically prevented by the lack of fundamental constrains on the mobility and migration rates of volatile-bearing melts (i.e., CO2-H2O-bearing melts) that are important conveyors for the distribution of volatiles. Therefore, the aim of the MoVEMENT project is to combine fundamental constraints on the physical properties (density and viscosity) of volatile-bearing melts with complex modelling to gain a quantitative understanding of the deep volatile cycles and related geophysical processes inside the planet. The applicant will achieve these scientific breakthroughs by combining two novel approaches: first, he will capitalize on new experimental methods at synchrotron sources to acquire missing data on the density and viscosity of carbon-bearing melts at high pressure; second, he will integrate the novel data into rigorous and continuous computer models for the density and viscosity of volatile-bearing melts. The new models will allow predictions of the mobility of volatile-bearing melts in a range of pressure, temperature (20 GPa – 2500 °C ) and compositions, i.e. from carbonatites (CO2-rich melts) to basalts (SiO2-rich melts), that span the conditions for melts stabilized in the upper mantle. Specifically, the results will be applied to quantify volatile-mediated processes in the upper mantle, including the migration/ascent/emplacement of melts through the mantle, ultimately leading to a new understanding of volatile mobility and recycling in the deep Earth.

Keywords: volatiles co2,h2o cycle,earth s mantle,mobility of volatile bearing melts,physical properties density,viscocity,thermodynamics modeling,experimental petrology
Improved Robotic Platform to perform Maintenance and Upgrading Roadworks: The ΗΕRΟΝ Approach (HERON)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Cyprus,Switzerland,Greece,Belgium,Switzerland,Greece,Greece,France
Call: Enhancing coordination between Member States' actions in the area of infrastructure research with a particular focus on biodiversity and ameliorating environmental impacts and full automated infrastructure upgrade and maintenance (H2020-MG-2020-TwoStages, 2020)
Start date: 2021-06-01
End date: 2025-05-31
Duration (months): 48.0
Total project cost (EUR): 4998000.0
EU funding (EUR): 4998000.0
Participants: 12
Project status: SIGNED

HERON aims to develop an integrated automated system to perform maintenance and upgrading roadworks, such as sealing cracks, patching potholes, asphalt rejuvenation, autonomous replacement of CUD elements and painting markings, but also supporting the pre/post-intervention phase including visual inspections and dispensing and removing traffic cones in an automated and controlled manner. The HERON system consists of: i) autonomous ground robotic vehicle that will be supported by autonomous drones to coordinate maintenance works and the pre-/post- intervention phase; ii) various robotic equipment, including sensors and actuators (e.g., tools for cut and fill, surface material placement and compaction, modular components installation, laser scanners for 3D mapping) placed on the main vehicle; iii) sensing interface installed both to the robotic platform and to the Road Infrastructures (RI) to allow improved monitoring (situational awareness) of the structural, functional and RI’s and markings’ conditions; iv) the control software that interconnects the sensing interface with the actuating robotic equipment; v) Augmented Reality (AR) visualization tools that enable the robotic system to see in detail surface defects and markings under survey; vi) Artificial Intelligence/AI-based toolkits that will act as the middleware of a twofold role for: a) optimally coordinating the road maintenance/upgrading workflows and b) intelligent processing of distributed data coming from the vehicle and the infrastructure sensors for safe operations and not disruption of other routine operations or traffic flows; and vii) integrate all data in an enhanced visualisation user interface supporting decisions and viii) communication modules to allow for Vehicle-to-Infrastructure/-Everything (V2I/X) data exchange for predictive maintenance and increase users safety. HERON aims to reduce fatal accidents, maintenance costs, traffic disruptions, thus increasing the network capacity and efficiency.

Keywords: robot assistive road maintenance,upgrading,machine learning,computer vision,road infrastructure sensing,augmented reality
An Innovative Solar Lighting System to replace artificial lighting in all types of indoor spaces with free and healthy sunlight. (SOLIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Israel
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-06-01
End date: 2019-11-30
Duration (months): 30.0
Total project cost (EUR): 1520625.0
EU funding (EUR): 1064437.5
Participants: 1
Project status: CLOSED

Sunlight is abundant and free for all. However, the Sun doesn't always shine in the right place at the right time. For example, many big indoor spaces like office blocks and warehouses rely exclusively on artificial lighting as light-source even during daytime. Therefore, bringing solar light where it doesn't reach can be very useful and convenient. SL enables solar light to be transmitted indoors to areas currently void from sufficient sunlight. SOLIS is an innovative, practical and effective lighting system that maximize collection of sunlight from the outside of the buildings (on rooftops or southern walls) and distributes it effectively indoors. Thus, energy is saved in two different ways: by reducing the electrical load required for artificial lighting and by lowering the heat emitted by the lighting , (thereby reducing cooling costs). The SOLIS light dispersing unit is a patent pending dual source lamp, that switches from sunlight to LED. During the day, SOLIS lights interiors using free, natural light. As the sun starts to set and light levels fall, energy-efficient LEDs activate automatically to provide illumination for early morning and evening use. The result is a solar lighting solution that significantly cuts energy costs and improve light quality.

Keywords: natural lighting,lowering co2 emissions,energy consumption,indoors lighting,commercial,buildings,sunlight collector,full spectrum light
An Integrated View on Coupled Aerosol-Cloud Interactions (INTEGRATE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Sweden
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-05-01
End date: 2025-04-30
Duration (months): 60.0
Total project cost (EUR): 2748920.0
EU funding (EUR): 2748920.0
Participants: 1
Project status: SIGNED

Despite their abundance in the Earth’s atmosphere, cloud formation and evolution are still poorly understood. This is particularly true for the interactions clouds have with atmospheric aerosol particles and their precursor vapors, which hampers our knowledge on the role that clouds and precipitation play in the climate system and in governing air quality. I argue that a major fraction of these uncertainties stem from inconsistencies and discontinuities in treating 1) the molecular phase transitions driving the dynamic cloud formation processes; 2) the interplay between atmospheric chemical composition and atmospheric dynamics; 3) the complex role that clouds play as both sources and sinks of particulate matter, but also as subjects to changes driven by aerosol particles. INTEGRATE will address these inconsistencies, and acquire a comprehensive picture of the phase transitions leading to cloud formation over the relevant scales. INTEGRATE will fill the key knowledge gaps through work in 1) the process scale, developing, applying and evaluating descriptions of molecular phase transitions within clouds; 2) the cloud scale, integrating the relevant chemical, microphysical and dynamic phenomena in a 3-dimensional cloud simulation framework; 3) the regional and global scales, studying interactions between aerosol loadings and clouds in past, present and future climates using chemical transport and earth system modeling. Systematic approaches for bridging the gap between the various time and spatial scales will also be developed within INTEGRATE. If successful, INTEGRATE will open new avenues for 1) fundamental understanding of the physics and chemistry of atmospheric phase transitions; 2) improved climate projections and ultimately better policies for reaching the targets of the Paris agreement; 3) better predictions of factors controlling air quality, hence facilitating the design of better policies to improve the quality of the air we breathe.
Machine learning quantum dynamics (mlQuDyn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1491489.0
EU funding (EUR): 1058271.16
Participants: 2
Project status: SIGNED

A key scope of quantum many-body theory is the identification of universal behavior in quantum matter, where macroscopic properties become independent of microscopic details. In recent years the quest for phases with novel universal properties has been revolutionized by forcing systems out of equilibrium, which has opened up a universe of unexplored phenomena and new dynamical paradigms. These developments not only hold the promise to theoretically uncover unrecognized universal dynamical behavior, but are also driven by the enormous advances in quantum simulators such as ultra-cold atoms, which have nowadays achieved unique capabilities in generating and probing such nonequilibrium quantum states. Still, their theoretical description is facing severe challenges. It is the aim of this proposal to take the theoretical understanding and predictive power of quantum many-body theory to a new level by an crossdisciplinary approach at the interface between quantum dynamics and machine learning. The central element of this approach is to encode time-evolved quantum states into artificial neural networks, which have been remarkably successful in storing and recognizing complex structures in computer science. In order to reach the main goal we have identified three main challenges which form the core of the program: (i) to design efficient artificial network structures based on fundamental principles of quantum many-body systems such as locality and causality; (ii) to utilize concepts of many-body theory and statistical physics to understand the physical properties of artificial neural networks; (iii) to explore fundamental but yet inaccessible dynamical quantum phenomena and universal behavior in quantum dynamics. The successfully conducted research program will lift the description and understanding of quantum many-body dynamics to a new level, impacting significantly both quantum theory as well as future experiments.

Keywords: quantum many body dynamics,nonequilibrium physics,quantum simulators,machine learning,artificial neural networks
Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach (FutureTDM)

Framework: Horizon 2020 — Science with and for Society
Programme: Develop the governance for the advancement of responsible research and innovation by all stakeholders, which is sensitive to society needs and demands and promote an ethics framework for research and innovation
Action type: Coordination and support actions
Countries involved: Austria,Greece,Poland,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Scientific Information in the Digital Age: Text and Data Mining (TDM) (H2020-GARRI-2014-1, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 1492370.0
EU funding (EUR): 1492370.0
Participants: 9
Project status: CLOSED

The exponential growth of data in the digital age has led to the development of powerful techniques for effectively harnessing digital information and discovering new knowledge. In this context, Text and Data Mining (TDM) enables researchers from different disciplines to analyse, extract insights and knowledge, and exploit diverse and complex datasets from various digital media. However, the present use of TDM in Europe is significantly lower than in the US and Asia, most probably due to limitations imposed by the European legal framework. In this light, the FutureTDM project identifies and reduces the barriers that inhibit the uptake of TDM for researchers, and innovative businesses. FutureTDM provides critical up-to-date assessments of legal regulations and policies impacting TDM in the EU, and places them in the international research and innovation context. It adopts a bottom-up approach by initiating dialogue between all relevant stakeholders, engaging them via knowledge cafés, workshops and representation on the advisory board to help identify barriers, common solutions and increase awareness of TDM practices and their potential. This combined approach will lead to developing novel policy frameworks and interdisciplinary case-driven practitioner guidelines facilitating the spread of TDM activities. Key to success will be the engagement of actors in the broader community (libraries, publishers, funders, etc.), who will be mobilised through workshops and will be provided with targeted recommendations in the Roadmap for TDM’s uptake. The knowledge distilled from quantitative and qualitative research will be integrated into a Collaborative Knowledge Base and Open Information Hub (www.FutureTDM.eu) using insightful visualisations. This dynamic platform will showcase excellence in TDM research and data-driven innovation and serve as reference for current and future TDM practitioners ensuring broader TDM uptake to boost Europe’s research and innovation capacities.
A new COlloidal cybernetIc sysTem tOwaRds 2030 (COgITOR)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Italy,Switzerland,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2020)
Start date: 2021-06-01
End date: 2025-11-30
Duration (months): 54.0
Total project cost (EUR): 3342140.0
EU funding (EUR): 3342140.0
Participants: 5
Project status: SIGNED

COGITOR represents a novel approach to cybernetics, proposing the study of Colloidal (liquid) Cybernetic Systems (CCS), a multifunctional liquid-based platform that we have designed to be capable of pressure sensing (i), computing and data storage (ii), energy harvesting (iii) and integrating fully custom electronics (iv). A CCS provides operation in extreme environments by definition, having distributed architecture (homogeneous liquid plus random network architecture), being fault-tolerant and featuring self-healing capabilities. Within COGITOR in 54 months the consortium will provide a platform where liquid electronics efforts can converge from all over the world, making European research the point of reference for this big step forward. COGITOR measurable and specific objectives are: i) creating an impedance liquid state pressure sensor with spatial and temporal resolution; ii) producing an holonomic reversible memory written/erased electrically and read by tomographic Microwave Impedance Spectroscopy; the electrical operation will be used to implement learning (both sequential and concurrent) and calculation, where the system acts as a many-input Boolean circuit; iii) harvesting energy from a thermal gradient artificially induced by IR radiation upon the prototype; iv) integration and testing of the final CCS prototype, testing self-healing and fault tolerance capabilities, as well as assessing interference, also under EE conditions varying T, p and B. The engineering applications that we plan to exploit will be part of the intellectual property of a spin-off company. The consortium is well-balanced with cutting edge Research Organizations across EU (IIT – Italy, UWE – UK, EMPA - Suisse) and companies (PC – Germany, PNO – Spain) that will closely collaborate to develop and really transfer knowledge and innovations into products and related services.

Keywords: colloidal cybernetic systems,holonomic memory,impedance spectroscopy
LEVERAGING GNSS CAPACITY IN ASIA (GNSS.asia3)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Coordination and support actions
Countries involved: India,Germany,Taiwan, Province of China,China,Belgium,France,Japan
Call: EGNSS awareness raising and capacity building (H2020-GALILEO-GSA-2017-1, 2017)
Start date: 2017-11-01
End date: 2019-12-31
Duration (months): 26.0
Total project cost (EUR): 797053.75
EU funding (EUR): 797053.75
Participants: 7
Project status: CLOSED

The GNSS.asia initiative has been supporting EU industry and driving EGNSS adoption in Asia since 2012. Being home to half of the world’s population and to major global GNSS-electronics manufacturers alike, Asia holds importance both as a GNSS market and as a supplier. The European GNSS industry is often stuck in niche markets within the EU, as SME’s LACK THE IN-HOUSE RESOURCES to systematically address international markets. Larger companies STRUGGLE with exporting to Asia when a POLITICAL or INSTITUTIONAL DIMENSIONS come into play. The Space Strategy for Europe explicitly highlighted the need to STRENGTHEN THE INDUSTRY’S COMPETITIVENESS, to intensify international cooperation, and to upgrade its capability to conduct ECONOMIC DIPLOMACY. After five years GNSS.ASIA has established itself as A KEY PLAYER IN ASIAN GNSS ECO-SYSTEMS, as a credible broker for Multi-GNSS opportunities and as a PROFESSIONAL NETWORK FOR GNSS in the multi-GNSS hotspot Asia. The UNIQUE PLATFORM FOR SUPPORTING INTERNATIONAL COOPERATION in GNSS is a proven outreach tool for EGNSS with measurable successes to date. It serves a community of EU industrial partners, flags new trends, prepares the ground for EU institutions’ relations work in Asia and is also recognised as a trusted partner by Asian industry, institutions and associations. Building upon these successes, GNSS.asia is now preparing for its third edition (GNSS.asia3): Evolving its services suite to reflect the current priorities of EGNSS by: - LEVERAGING INDUSTRIAL COOPERATION across continents, - SUPPORTING INSTITUTIONAL RELATIONS and ECONOMIC DIPLOMACY ACTIVITIES - DRIVE EGNSS ADOPTION IN ASIA. The budget could be reduced by 30%, despite a 2-month longer duration and same geographic reach. The WELL ESTABLISHED AND HIGHLY COMMITTED TEAM of European and Asian professionals in India, China, Taiwan, Korea, Japan and South-East Asia will provide a return on investment in terms of capacity built, awareness raised and industry supported.

Keywords: gnss,industry cooperation,galileo,egnos,egnss,asia,multi gnss
Plant Mobile RNAs: Function, Transport and Features (PLAMORF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Germany,Germany,United Kingdom
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-04-01
End date: 2025-09-30
Duration (months): 78.0
Total project cost (EUR): 6134102.0
EU funding (EUR): 6134102.0
Participants: 3
Project status: SIGNED

An essential consequence of multi-cellularity is the need for intercellular and tissue wide communication. As seen with animals, higher plants coordinate metabolic and developmental processes via signals transferred to different body parts. Plants use a dual vascular system consisting of phloem and xylem for long-distance transfer of metabolites and signalling molecules. In contrast to circular systems in animals, transport in flowering plants occurs in the phloem via the cytoplasm of connected cells devoid of nuclei. In addition to small molecules, a remarkably large number of so-called mobile micro RNAs (miRNAs), messenger RNAs (mRNAs), and phloem RNA-binding proteins (RBPs) were identified in the phloem and in chimeric plants. Mobile RNAs and RBPs move through plasmodesmata into and through the phloem to distinct tissues. Thus, mobile RNAs represent an additional class of signalling molecules, raising important questions in the field of intercellular signalling. This project combines the expertise of three research groups in the fields of cell biology/macromolecular transport, mathematical modelling/bioinformatics and phloem function/protein biochemistry. It addresses the questions: How are mobile miRNAs and mRNAs selected for transport? Is this process specific and regulated by RBPs and motifs? What determines their destination? And importantly, how are these signals processed in the destination cells? To address these questions, we will develop predictive models, using novel single cell transcriptomics pipelines to establish cell-type specific RNA transport and motifs (WP1), and studying the structure, affinity, and functions of phloem RBPs to gain insights in the RNA delivery mechanism (WP2). We will combine the advantages of the agronomically important plant oilseed rape to identify phloem RNAs and RBPs with the well-established A. thaliana model that allows us to identify and test cell-specific transported RNA signals and RBPs in a time-efficient manner.

Keywords: single cell transcriptomics,macromolecular signals,rna binding proteins,rna motifs,messenger rna transport,inter cellular communication,phloem,micro rna,chimeric plants