Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MOnitoring VEgetation status and functioning at high spatio-temporal resolution from Sentinel-2 (MOVES)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-21
End date: 2021-10-20
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

Leaf Area Index (LAI), Fraction of green Vegetation Cover (FCOVER) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) are key biophysical variables representing the status and functioning of vegetation. High spatiotemporal resolution LAI/FAPAR/FCOVER products are urgently needed in many terrestrial applications including crop and forest management. However, the trade-off in traditional remote sensing sensors between temporal and spatial resolutions hinders the generation of such products. The launch of Sentinel-2 satellites, with spatial resolution of 10-20 m and 5-day temporal sampling (in tandem), opens a new paradigm in satellite vegetation monitoring. The proposed project “MOVES” will develop an operational algorithm for retrieving LAI/FAPAR/FCOVER from Sentinel-2 data. An easily-invertible radiative transfer model (RTM) will be firstly developed, which will apply a universal model framework for all vegetation types (continuous vs discrete) and terrains (horizontal vs sloping). In this project, the hybrid training and domain adaption paradigms will be introduced into the retrieval of LAI/FAPAR/FCOVER, to enhance the transferability of the retrieval algorithm and achieve spatiotemporally consistent retrieval. The Copernicus ground-based observations (GBOC) and FLUXNET sites will be used to validate the proposed algorithm and assess its potential in the monitoring of vegetation status and functioning. The project is conceived to combine the prominent expertise of the hosting institute in biophysical variable retrieval and remote sensing ecological application, with my well-demonstrated RTM development skills. Overall, MOVES will facilitate the delivery of Sentinel-2 LAI/FAPAR/FCOVER products of physical consistence and high accuracy, and underpin new avenues for the development of high spatiotemporal frequency vegetation monitoring systems.

Keywords: biophysical variables,sentinel 2,vegetation monitoring,radiative transfer inversion,machine leaning
A MINIMALLY INVASIVE NEEDLE FREE DEVICE TO SAFELY ACCESS THE PERICARDIUM SPACE (ViaOne)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

2.5M patients per year in the US and the EU require pericardial space access as the result of a variety of pathological conditions. Atrial Fibrillation (AF) is the most common condition requiring pericardial access, in fact, AF affected 24M people in the US and 11M in the EU (2016). In current epicardial access techniques (using needles), complications can reach 4.5-30% (representing a ˞€600M/year increase in costs for healthcare systems) and includes heart puncture, cardiac tamponade and pericardial bleeding, which can result in an increase in patient deaths. The use of a needle in the heart area, which is in constant motion, requires a high level of skill and expertise during surgery. EpiVIASYSTEM is the first device (PCT /IL2018 /050670) to ensure pericardial access in a confident, safe, needle-free manner avoiding complications during penetration of the pericardium. The device employs a unique geometrically structured thread that ensures a secure workspace for the use of additional cardiovascular devices, such as mapping and ablation catheters for treatment of arrhythmia disorders. Its design will ensure a competitive price of €250/procedure when compared with €130 for the equivalent tools used in invasive non-electrohpysiological procedures. EpiVIASYSTEM is expected to improve clinical outcomes of patients and reduce costs associated with failed ablations associated with the needle use by €600M/year. The increased growth of cardiac pathologies and the 2.5M of patients/year that require pericardial access represent a big business opportunity for the EpiVIASYSTEM and will favour its successful market uptake. EpiVIASYSTEM´s main objective is to optimize, scale-up and commercialize a marketable medical device in both the EU and the US by 2021. For that, a feasibility study will be performed during SME Phase 1 to evaluate any technical, commercial and/or financial issues and ensure the successful release of the EpiVIASYSTEM into the market.

Keywords: arrythmia,pericardial access,minimally invasive,epicardial ablation,catheter
Adaptive Radiation in Aquatic MIcrobial Species (ARAMIS)

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: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-03-01
End date: 2023-04-30
Duration (months): 24.0
Total project cost (EUR): 203852.16
EU funding (EUR): 203852.16
Participants: 1
Project status: SIGNED

Adaptive Radiation of Aquatic MIcrobial Species (ARAMIS). The action aims to understand the causes, mechanisms and consequences of adaptive radiation (i.e. the process in which organisms diversify rapidly to occupy ecological niches) in freshwater microbial communities. This will help solve several of the outstanding questions in the field of microbial ecology, such as how shifts in environmental conditions impact the trajectory of microbial evolution, the relative importance of horizontal versus vertical gene transfer in microbial ecosystems, or the definition of microbial ‘species’. As diversity is linked with stability, elucidating the factors driving diversification in freshwater taxa will also help us predict how such ecosystems may respond to future change. ARAMIS proposes the novel hypothesis that, while every freshwater clade has a unique evolutionary history, the environmental forces driving such evolution are fundamentally the same, both in nature and in relative importance. If validated, this simple paradigm would push the state of the art and allow the development of powerful conceptual models integrating environmental constraints, microbial diversification, and community stability. The hypothesis will be tested by combining metagenomics, metatranscriptomics and enrichment cultures over a set of more than 200 lake samples. This will contribute to a conceptual synthesis between community ecology and evolutionary biology by closing the gap between theoretical work and data-driven studies. ARAMIS has a high academic potential but, since it deals with the stability of freswater microbial populations, can also have social and public policy impact by bringing an ecoevolutionary perspective to the management of aquatic resources.

Keywords: microbial ecology,metagenomics,metatranscriptomics,enrichment cultures
Capacity Building at InBIO for Research and Innovation Using Environmental Metagenomics (EnvMetaGen)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: ERA chairs
Theme: Attracting and mobilising the best talents
Action type: Coordination and support actions
Countries involved: Portugal
Call: ERA Chairs (H2020-WIDESPREAD-2014-2, 2014)
Start date: 2015-09-01
End date: 2020-12-31
Duration (months): 64.0
Total project cost (EUR): 2477046.25
EU funding (EUR): 2228000.0
Participants: 1
Project status: CLOSED

The goal of the project is to expand the research and innovation potential of InBIO – Research Network in Biodiversity and Evolutionary Biology, through the creation of an ERA Chair in Environmental Metagenomics. The project aims to strengthen the research potential of human resources, lab facilities and next-generation genome sequencing equipment funded by a FP7 CAPACITIES project, supporting an emerging research line in environmental metagenomics for applications in biodiversity conservation, invasive species control, ecosystem services assessment, and environmental (bio)monitoring. The project will contribute to the regional and national smart specialization strategies, by developing tools and approaches to foster environmentally sustainable development, and strengthening innovation and knowledge transfer activities in close collaboration with local and global industrial partners, as well as with governmental agencies. In addition, the project will contribute to the advanced training of highly-qualified human resources, and to the communication, dissemination and exploitation of InBIO’s research and innovation. To achieve its objectives, EnvMetaGen will develop the following main activities: (i) Upgrade the research capacity and capability by expanding the human potential and fostering a critical mass of researchers with inter-disciplinary expertise in environmental metagenomics; (ii) Improve InBIO’s innovation potential and impact at the regional, national and European levels, by promoting the integration of cost-effective metagenomics approaches at the forefront of biodiversity, ecological and environmental research; and (iii) Raise the international and national network of collaborations and partnerships of InBIO and its industrial and governmental affiliates. These activities will contribute to better integrate InBIO with the European Research Area (ERA), thus increasing their level of participation in the Horizon 2020 program.

Keywords: biodiversity,biomonitoring,ecosystem services,edna,next generation sequencing,sustainability
Atom Probe Tomography (APT) Metrology for future 3D semiconductor devices (APT-Met)

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: Physics
Countries involved: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-07-31
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

This proposal presents a training-by-research plan in the emerging and exciting field of Atom Probe Tomography (APT) and its application in analysing non planar atomic scale state-of-the art semiconductor nanostructures. Central to this project are the metrology and training advances needed to underpin the next generation of 3 dimensional (3D) device architectures based on atomically engineered materials and interfaces (e.g. FinFETs such as the Tri-gate transistor ). Amongst the possible emerging 3D analysis techniques which meet industrial requirements in terms of 3D-spatial resolution is APT. However, within the semiconductor field APT as a characterisation tool is still in its infancy with many challenges unresolved from both a fundamental understanding perspective as well operational performance. It therefore remains prone to many artefacts and limitations such that one has not yet reached the robust analysis levels required for the semiconductor industry - i.e. qualitative versus quantitative information, high success yield, tight reproducibility and accuracy, and a full understanding of the data quality. Research on the exploitation of APT for advanced semiconductor devices is restricted as it requires simultaneous access to an (expensive) APT tool and advanced semiconductor technology. Thus, the number of trained researchers is limited. This project therefore aims to: (1) advance the APT technique and (2) complement the applicant’s expertise with substantial training and knowledge of the APT technique. Through detailed investigations into the phenomena most impacting on APT new insights which will feed into the needs of the semiconductor industry will be sought. The research and training activities are designed to enhance the future career of the applicant by broadening his technical skills in a novel research area that and increase his prospects for extended funding for future collaborative research projects.
SOot in TUrbulent Flames: a new look at soot production processes in turbulent flames leading to novel models for predictive large eddy simulations (SOTUF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1436330.0
EU funding (EUR): 1436330.0
Participants: 1
Project status: SIGNED

Many practical systems emit soot into the atmosphere as a result of incomplete combustion of hydrocarbons. This pollutant emission is characterized by a distribution of solid carbon particles with different sizes and shapes, which have negative effects on human health and environment. Controlling such emission represents a societal issue and an industrial challenge that require a deep understanding of the intricate processes underlying soot production in the turbulent flames that generally characterize practical systems. In this context, progress in numerical simulations is essential to the successful design of low-emission combustion systems. Unfortunately, the Large-Eddy Simultations (LES) approach, which has successfully demonstrated its capacity to represent gaseous turbulent combustion processes, is far from being predictive for soot emission. Indeed, soot production in turbulent flames is a complex process which is not easy to be represented with the classical LES strategy: the long time scales and the broad range of length scales place soot processes outside the usual scale ranges of LES subgrid models. In this context, the goal of the present project is to provide new insights on the processes governing soot production in turbulent flames to develop novel LES models, encompassing the state-of-art and allowing reliable predictions of soot in turbulent flames. These objectives will be achieved by: (1) characterizing the turbulence-flame-soot coupling from novel well-controlled experiments employing advanced space and time resolved optical diagnostics; (2) developing new subgrid models based on information extracted from experiments and high-fidelity simulations; (3) validating and applying the developed LES modeling strategy on complex systems. The research results are expected to drastically improve the prediction of soot production in industrial configurations, helping to design new low-emission systems with notably reduced soot levels.

Keywords: combustion,soot,modeling and numerical simulation,high speed diagnostics,turbulent flames
Data-intensive analysis of seismic tremors and long period events: a new paradigm for understanding transient deformation processes in active geological systems (SEISMAZE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: France
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 2490000.0
EU funding (EUR): 2490000.0
Participants: 1
Project status: SIGNED

Seismic tremors form a broad class of signals generated by internal sources that are different from regular earthquakes. Volcanic tremors have been known for a long time, and tectonic tremors associated with seismogenic fault zones have been described more recently. While the physical origin of seismic tremors remains to be fully understood, they are related to slow transient energy release processes that occur in active geological systems during the accumulation of mechanical energy that is then released during catastrophic events, such as strong earthquakes or volcanic eruptions. Therefore, seismic tremors represent a unique source of information that can be used to understand the physics of these ‘preparation’ processes and to design new monitoring and forecasting approaches. Modern digital seismological networks record huge numbers of tremors in different active regions, and breakthroughs can be achieved with systematic exploration of these observations that includes data analysis and physical modeling. My goal is to undertake such an effort via the development of a new unified framework for the study of seismic tremors. I plan to combine advanced methods for data mining, signal processing, and numerical simulations of the generating processes, to apply these to different large datasets of volcanic and tectonic tremors. I will develop an innovative and holistic approach based on massive analysis of observations that requires high performance computing and will be combined with advanced physical modeling of the generating dynamical processes. This will produce the new framework that can be used on the one hand for an understanding of the physical tremor-generating mechanisms, and on other hand for the development of new adaptive methods for monitoring volcanoes and seismic faults. The implementation of these will involve machine learning approaches to gain information from continuous fluxes of data from dense seismological networks.
The First Soft Robotic Glove for Hand Injury Prevention and Rehabilitation (iHand)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Sweden
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-04-01
End date: 2021-09-30
Duration (months): 42.0
Total project cost (EUR): 3271387.5
EU funding (EUR): 2289971.25
Participants: 1
Project status: CLOSED

i-Hand is a soft robotic glove that can add extra strength to the grip and increase grip function for a) persons who perform intense manual labor/sports and want to prevent any hand issues, b) persons who want to reduce the risk of occupational injuries related to manual activities at work or home and c) persons recovering from hand problems. The first generation of the glove (SEM glove) generated €1M of sales an average price of 4100 Euros in 2016. The second generation of the glove (i-Hand) is a modular platform that can be used to develop different product variants tailored for different markets, and that has been optimized for volume production. This is a disruptive innovation for medical rehabilitation and worker health & safety as users can - for the first time - use the device at home or at work, without needing expensive/voluminous specialized equipment (rehabilitation robot or work exoskeleton). The i-Hand glove has a slim design and the same look and feel as a regular glove with a weight under 70g. Mini-actuators and high performance batteries provide enough strength to support activities at work or at home for 8-16 hours without recharge, while keeping the total weight of the system under 400g. The device production cost will be able to reach below 180 Euros at volumes > 500-1000 units. The project will conduct user trials in 3 concrete scenarios (assist, rehab and prevent) in order to gather additional evidence of its benefits and provide end-user iterative feedback. Bioservo has already closed agreements with leading partners such as OttoBock (orthopaedic devices), Hocoma (rehabilitation systems) and already has collaboration agreements with GM, NASA, GE, Airbus and Eiffage. The glove is also endorsed by key stakeholders such as Swedish Employment Service, the Norwegian Labour and Welfare Administration and the Finnish Health Authority. The project should enable Bioservo to generate 53M Euros and 178 new jobs by 2024.

Keywords: robotics,soft robotics,exoskeleton,glove,assistive,preventive,hand function,work safety,injury prevention
Quantum Technology Flagship Coordination and Support Action (QFlag)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Tackling grand interdisciplinary science and technology challenges
Action type: Coordination and support actions
Countries involved: Germany,Spain,Italy,Germany,Switzerland,France,Netherlands
Call: FET Flagship on Quantum Technologies (H2020-FETFLAG-2018-03, 2018)
Start date: 2019-04-01
End date: 2022-05-31
Duration (months): 38.0
Total project cost (EUR): 2698996.25
EU funding (EUR): 2698996.25
Participants: 7
Project status: CLOSED

QFlag will provide the key support towards objectives and the governance structure of the EU FET Flagship on Quantum Technologies (QT). By establishing an open, transparent and inclusive community driven initiative, the QT Flagship will be able to unfold its full potential, namely to develop and implement a truly European strategy and position Europe as outstanding region of QT excellence in the world. To this end QFlag will: I. Coordinate the relevant Flagship stakeholders and link the Flagship to national programmes II. Coordinate access to QT infrastructure, foster applications of Quantum Technology and facilitate the transfer of results to industry III. Increase awareness of QT in Europe, both with (potential) end-users and the general public IV. Foster education and training in QT, both of students and young researchers and engineers, in the field of QT, as well as a “quantum aware workforce” V. Support the efficient governance of the Quantum Technology Flagship and monitor its progress The establishment and close involvement of a growing QT community in Europe is a key aspect of the QFlag project. To this end the project will consult and involve more than 750 QT experts to prepare and update the QT Strategic Research Agenda. QFlag will identify and make available key QT infrastructure, education and training needs and will trigger the establishment of new curricula in the field. Dedicated actions are foreseen to pro-actively create synergies between national, regional and European (funding) activities. Moreover, the project will provide a central PR and dissemination services to all QFlag activities including QT Flagship projects, not only to increase the visibility of the sector towards the general public, but also to trigger the uptake of QT Flagship Project results by industry. All QFlag project actions are closely coordinated with the currently running predecessor project, QSA, so that a flying start of the QFlag is ensured.