Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Tracking 3-D meltwater production and runoff from glacial bare-ice surfaces (IceMelt3D)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Belgium,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Duration (months): 36.0
Total project cost (EUR): 235191.36
EU funding (EUR): 235191.36
Participants: 2
Project status: CLOSED

IceMelt3D will track the production and fate of surface meltwater in glacial bare-ice areas to improve the skill of Surface Mass Balance (SMB) models in predicting melt and runoff from these locations of major ice loss. In these areas a porous, low-density ‘weathering crust’ (WC) often develops, which causes sub-surface melting and dramatically changes the surface albedo and hence melt rates, invoking a feedback loop. However, SMB models lack fundamental constraints on the production and fate of meltwater in bare-ice areas. IceMelt3D will focus on numerically quantifying ablation area processes, using the Queen Elizabeth Islands (QEI), Canada as a case study. The Action will develop the Regional Climate Model (RCM) ‘MAR’ for SMB reconstruction of the QEI ice caps. The Action objectives are: (O1) Resolve WC dynamics by simultaneous field measurements of surface energy balance, albedo, melt rates and WC properties in a hydrologically-gauged supraglacial catchment on Sverdrup Glacier, Devon Ice Cap, QEI. (O2) Develop and validate a numerical, vertically-resolved model of WC dynamics linked with a new surface albedo model. (O3) Up-scale the hydrology of supraglacial drainage catchments using remotely-sensed measurements calibrated with in-situ measurements. (O4) Implement the WC-albedo model within the surface scheme of MAR. (O5) Use MAR to reconstruct the SMB of the QEI ice fields, and validate the outputs. These objectives are linked under a unified framework of ablation processes that comprises WC structural properties, albedo, surface energy balance, light-absorbing impurities and hydrology. Only with simultaneous, numerical engagement across the framework will the full impact of ablation zone processes on runoff be captured. The Action will train the researcher in High Arctic glaciological fieldwork, numerical modelling and regional climate modelling, and will enable two-way transfer of knowledge between Canada and Europe on QEI SMB observations and modelling.

Keywords: glacier ice,supraglacial hydrology,polar regional climate modelling
Cost and benefit of beta-lactam resistance in Streptococcus pneumoniae: interplay between the resistance determinants and the cell elongation/division components (StreptoMANIAC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-11-01
End date: 2021-11-30
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

The widespread emergence of acquired resistance to antibiotics constitutes a serious threat to global public health. Among Gram-positive pathogens, Streptococcus pneumoniae (the pneumococcus) is a normal resident of the oral and nasal cavities but is also cause of otitis media and sinusitis as well as pneumonia, bacteremia and meningitis, particularly in young children and the elderly. Despite the availability of effective vaccines, S. pneumoniae remains an important clinical problem, also because of the increase of multi-drug resistant clinical isolates. S. pneumoniae is, indeed, listed by the WHO as one of the priority pathogens to drive research, discovery and development of new antibiotics. In S. pneumoniae, resistance to beta-lactam antibiotics represents a highly complex scenario, involving both target enzymes, the penicillin-binding proteins (PBPs), and non-PBP components, as the two-component system CiaRH. In clinical isolates, beta-lactam resistance is primarily mediated by the acquisition of multiple mutations in the transpeptidase domain of three of its six PBPs: PBP2x, PBP2b and PBP1a. These modified PBPs have reduced affinity for beta-lactams while leaving the enzyme function unaffected, thus conferring an advantage for the mutated strains in the presence of the antibiotics. However, PBPs are not only the beta-lactam target but are also essential enzymes involved the last stages of peptidoglycan biosynthesis, where they play specific roles in peripheral (side-wall) growth and cell division. Whereas the majority of studies so far concentrated solely on the effect of altered PBPs on resistance, little is known about the impact of the altered PBPs on PG biosynthesis, cell growth and division. Using a combination of genetic, biochemical, cytological and comparative genomics techniques, this study aims to fill in the knowledge gaps in the cost and benefit of acquired beta-lactam resistance in S. pneumoniae and in the complex mechanisms that regulate it.

Keywords: streptococcus pneumoniae,beta lactam resistance,penicillin binding proteins,mosaic genes,two component system ciarh,cell growth and division
In-situ Topological Reduction of Scientific 3D Data (TORI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-10-01
End date: 2026-09-30
Duration (months): 72.0
Total project cost (EUR): 1998245.0
EU funding (EUR): 1998245.0
Participants: 2
Project status: SIGNED

Modern scientific methods heavily rely on large-scale 3D simulations. However, current data production speeds are much higher than storage speeds (5 orders of magnitude on typical supercomputers). This imbalance constitutes a major bottleneck in the scientific computing pipeline, such that most of the data generated by a simulation is not saved to disk, and thus remains unvisualized, unexplored and unanalyzed. TORI addresses this data bottleneck by introducing the next generation data reduction tools for large-scale scientific 3D data. TORI’s angle of attack is based on original and important advances in Topological Data Analysis (TDA), a class of techniques popularized in scientific visualization. TORI addresses data reduction at two levels: (i) at the data level, by deriving an analysis framework for ensembles of topological objects that is inspired by optimal transport, and (ii) at the computation level, by entirely revisiting TDA to adapt it to the context of high-performance in-situ data analysis. To identify informative datasets (i), TORI will introduce efficient methods for distance computations, barycenter evaluations and trajectory analysis. To perform this analysis on-the-fly (ii), TORI will revisit TDA with task parallel algorithms, coarse-to-fine computations and TDA-aware lossy compressors. TORI will be implemented in open-source in the Topology ToolKit, a leading TDA package, and interfaced with standard scientific computing packages (VTK, ParaView). It will be integrated in simulation codes with Catalyst and evaluated on real-life use cases in climatology, geophysics and astrophysics. TORI will have a far reaching impact on all fields of science using large-scale 3D simulations. By bringing together optimal transport and TDA in an innovative coarse-to-fine model, TORI will establish TDA as a standard tool for the analysis of large-scale ensemble datasets and it will initiate a new line of research in high-performance in-situ data analysis.

Keywords: scientific visualization,topological data analysis,high performance computing
Innovative technologies and socio-ecological-economic solutions for fire resilient territories in Europe. (FIRE-RES)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Innovation actions
Countries involved: Italy,Spain,Spain,Spain,Spain,Italy,Italy,Spain,Italy,Spain,Belgium,Bulgaria,Greece,Norway,Finland,Finland,Greece,France,France,France,Netherlands,Netherlands,Chile,Portugal,Portugal,Portugal,Luxembourg
Call: Preventing and fighting extreme wildfires with the integration and demonstration of innovative means (H2020-LC-GD-2020-3, 2020)
Start date: 2021-12-01
End date: 2025-11-30
Duration (months): 48.0
Total project cost (EUR): 21541422.51
EU funding (EUR): 19896326.62
Participants: 36
Project status: SIGNED

Extreme wildfire events (EWE) are becoming a major environmental, economic and social threat in Southern Europe and increasingly gaining importance elsewhere in Europe. As the limits of fire suppression-centered strategies become evident, practitioners, researchers and policymakers increasingly recognise the need to develop novel approaches that shift emphasis to the root causes and impacts of EWE, moving towards preventive landscape and community management for greater resilience. FIRE-RES integrates existing research, technology, civil protection, policy and governance spheres related to wildfires to innovate processes, methods and tools to effectively promote the implementation of a more holistic fire management approach and support the transition towards more resilient landscapes and communities to EWE. To achieve this, FIRE-RES will, first, generate new knowledge on sustainable integrated fire management models that help to define what type of possible future scenarios (including climate change and general policies) should be promoted across EU territories. Second, it will identify and demonstrate innovations at the technological, social, health/safety, administrative, ecological and economic levels to define how and across which possible paths the future scenarios may be achieved in the EU. These innovations will be implemented in different regional contexts, and upscaled at the national and EU levels using an open innovation hub, promoting capacity building and partnership brokerage between public and private actors. Third, it will raise societal awareness and engagement on wildfire risk prevention, preparedness and response by leveraging existing national and cross-border networks at supranational levels. FIRE-RES is a transdisciplinary, multi-actor consortium, formed by researchers, wildfire agencies, technological companies, industry and civil society from 13 countries, linking to broader networks in science and disaster reduction management.

Keywords: systemic territorial management,landscape design,post fire restoration,interoperability,bioeconomy,proactive governance,real time fire simulation,fire education and training
PrInted gRAphene ThermocouplE for the IoTs (PIRATE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept 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: United Kingdom
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2021-03-01
End date: 2022-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Accurate real-time temperature measurement is very important in many applications. In particular, contact-type temperature sensors for nano or microscope measurement of temperature are expected to strongly rise in the next future due to their use in wearables, smartphones, and other consumer electronics devices. However, the development of sensitive and localised temperature sensor is a strong technical challenge, in particular when coupled with flexible substrates, such as those used for packaging and wearables, and the reduced manufacturing cost required for a sensor to be commercially suitable for many IoT applications. The aim of this project is to develop a printed thermocouple made of carbon-based inks, offering accurate temperature measurements as well as better sustainability and biocompatibility, compared to existing solutions.

Keywords: printable electronics,temperature sensors,internet of things,carbon inks
First principle molecular dynamics simulations for complex chemical transformations in nanoporous materials (DYNPOR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Belgium
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2021-07-31
Duration (months): 72.0
Total project cost (EUR): 1993750.0
EU funding (EUR): 1993750.0
Participants: 1
Project status: CLOSED

Chemical transformations in nanoporous materials are vital in many application domains, such as catalysis, molecular separations, sustainable chemistry,…. Model-guided design is indispensable to tailoring materials at the nanometer scale level. At real operating conditions, chemical transformations taking place at the nanometer scale have a very complex nature, due to the interplay of several factors such as the number of particles present in the pores of the material, framework flexibility, competitive pathways, entropy effects,… The textbook concept of a single transition state is far too simplistic in such cases. A restricted number of configurations of the potential energy surface is not sufficient to capture the complexity of the transformation. My objective is to simulate complex chemical transformations in nanoporous materials using first principle molecular dynamics methods at real operating conditions, capturing the full complexity of the free energy surface. To achieve these goals advanced sampling methods will be used to explore the interesting regions of the free energy surface. The number of guest molecules at real operating conditions will be derived and the diffusion of small molecules through pores with blocking molecules will be studied. New theoretical models will be developed to keep track of both the framework flexibility and entropy of the lattice. The selected applications are timely and rely on an extensive network with prominent experimental partners. The applications will encompass contemporary catalytic conversions in zeolites, active site engineering in metal organic frameworks and structural transitions in nanoporous materials, and the expected outcomes will have the potential to yield groundbreaking new insights. The results are expected to have impact far beyond the horizon of the current project as they will contribute to the transition from static to dynamically based modeling tools within heterogeneous catalysis
Low-Power Parallel Computing on GPUs 2 (LPGPU2)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Greece,United Kingdom,United Kingdom
Call: Customised and low power computing (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-09-30
Duration (months): 33.0
Total project cost (EUR): 3954846.25
EU funding (EUR): 2975786.88
Participants: 5
Project status: CLOSED

Low-power GPUs have become ubiquitous, they can be found in domains ranging from wearable and mobile computing, to automotive systems. With this ubiquity has come a wider range of applications exploiting low-power GPUs, placing ever increasing demands on the expected performance and power efficiency of the devices. Future low-power system-on-chips will have to provide higher performance and be able to support more complex applications, without using any additional power. The strict power limitations means that these demands cannot be met through hardware improvements alone, however, but the software must better exploit the available resources. Unfortunately, programmers are hindered when creating low-power GPU software by the quality of current performance analysis tools. In low-power GPU contexts there is only a minimal amount of performance information, and essentially no power information, available to the programmer. As software becomes more complex it becomes increasingly unmanageable for programmers to optimise the software for low-power devices. This project proposes to aid the programmer in creating software for low-power GPUs by building on the results of the first LPGPU project to provide a complete performance analysis process for the programmer. This project will address all aspects of performance analysis, from hardware power and performance counters, to a toolchain that processes and visualises information from these counters, to applications that will be used as use-cases to drive the entire design. To access the new hardware performance counters a standardisable API will be produced to interface to a prototype hardware implementation. This will let the analysis and visualisation tool connect to any GPU driver that implements the API. The consortium's expertise will be used not only to drive the initial design of the API and analyses, but also multiple application use-cases will be developed to demonstrate the efficacy of the toolchain.

Keywords: graphics processing units,wearable and mobile computing,power optimisation framework,hardware counters,visualisation
Heart regeneration in the Mexican cavefish: The difference between healing and scarring (CAVEHEART)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2022-08-31
Duration (months): 66.0
Total project cost (EUR): 1499429.0
EU funding (EUR): 1499429.0
Participants: 1
Project status: CLOSED

Whereas the human heart cannot regenerate cardiac muscle after myocardial infarction, certain fish efficiently repair their hearts. Astyanax mexicanus, a close relative of the zebrafish, is a single fish species comprising cave-dwelling and surface river populations. Remarkably, while surface fish regenerate their heart after injury, cavefish cannot and form a permanent fibrotic scar, similar to the human heart. Using transcriptomics analysis and immunohistochemistry, we have identified key differences in the scarring and inflammatory response between the surface and cavefish heart after injury. These differences include extracellular matrix (ECM) proteins, growth factors and macrophage populations present in one, but not the other population, suggesting properties unique to the surface fish scar that promote heart regeneration. The objective of the proposed project is to characterise and utilise these findings to identify therapeutic targets to heal the human heart after myocardial infarction. First, we will analyse the identified differences in scarring and immune response between the fish in detail, before testing the role of the most interesting proteins and macrophage populations during regeneration using CRISPR mutagenesis and clodronate liposomes. Next, we will link the key scarring and inflammatory differences directly to both the genome and the ability for heart regeneration using new and prior Quantitative Trait Loci analyses. This will allow to find the most fundamental molecular mechanisms directing the wound healing process towards regeneration versus scarring. Together with an in vitro and in vivo small molecule screen directed specifically at influencing scarring towards a more ‘fish-like’ regenerative phenotype in the cavefish and mouse heart after injury, this will provide targets for therapeutic strategies to maximise the endogenous regenerative potential of the mammalian heart, with the aim to find a cure for myocardial infarction.

Keywords: fish heart regeneration,astyanax mexicanus,fibrosis,inflammation
The pioneering platform for detection and management of learning and development difficulties and preventionof school failure (Dide)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

School failure and early leaving are a key matter for the development of our children and of our society due to their high social and economic impact: early school leaving is associated with lower income, worse health and higher risk of social exclusion and bullying, and it limits the capacity of our economies to grow and innovate, damages social cohesion and imposes additional costs on public budgets. Preventing them has become a priority in education policies. However, the lack of effective detection methods and early stage guidelines can hinder the implementation of successful measures to reduce school failure and ensure an inclusive education and equal opportunities for all students. In Grupo VS, we are developing Díde, a pioneering psycho-pedagogical methodology that will be the first detection tool able to cover this need. Díde is a disruptive and unique platform for the management and early detection and/or discard of 35 learning and development difficulties in children and teenagers from 2 to 18 years old, without the direct intervention of the kids in the process, that provides personalized guidelines adapted to teachers and parents to take action from first signs. We aim to start commercialization of Díde by the end of 2021, and we have already received countless signs of support form Education and Psycho-pedagogical institutions. We are convinced that our integral detection tool will contribute to reduce school failure, make inclusive education a reality and bring equal opportunities to every kid, hence reducing “inequalities and social exclusion in Europe”, which is considered a critical aspect to meet “Inclusive, innovative and reflective societies” societal challenge addressed by Horizon 2020 program. Finally, through the completion of Díde project we expect to reach €14,8 million revenues three years after its commercialization. Phase 2 will require a €1 million investment, which will present a Cumulative Return of Investment of 4 in 2024.

Keywords: school failure,inclusive education,psycho pedagogy,bullying,children,infants,teenagers,platform,early detection,detection tool