Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
THE REVOLUTIONARY SYSTEM BRINGS ACTIONABLE DATA-SCIENCE INSIGHT TO THE MASSES GRAPHEXT bridges the gap between Data Science and Business Intelligence, democratising Advanced Analytics. (GRAPHEXT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-11-01
End date: 2022-01-31
Duration (months): 27.0
Total project cost (EUR): 2490750.0
EU funding (EUR): 1743525.0
Participants: 1
Project status: CLOSED

The landscape for data analytics is undergoing profound changes, 1) because of the growing awareness of organisations in the intrinsic value of the data, 2) because of the huge explosion in amount and sources of data accessible, and 3) because of developments in tools and methods to extract value from the data. The challenge for organisations is to optimally extract intrinsic value (economic, social and environmental) to remain effective and competitive. Organisations that can achieve this rapidly and most economically will certainly excel. Currently, the tools available on the market have are scattered and diverse, on one hand being conventional BI that have failed to keep up (with traditional databases and visualisation schema designed for structured data), and on the other there are sophisticated tools designed for use by data scientists, creating a major gap in between, to reach business analysts and decision makers. To date there are no tools on the market that combine these advanced data science methods together with user-friendly value-creation results and front-ends, aimed at tactical and strategic decision making. Graphext disrupts the existing market for data-science and BI analytics, by combining the full-stack functionalities in one seamless cloud-based SaaS solution. Graphext’s revolutionary approach in the analysis and visualization of complex datasets, brings the field of advanced Data Science to the mainstream. Graphext delivers an advanced system for data analytics and value-creation - providing direct ‘actionable insight` for decision makers. Graphext applies advanced scientific techniques with unsupervised automated learning together with advanced data visualisation. This is an entirely different approach to data analysis as it takes a network and statistical approach, e.g. through employing techniques such as heuristics, looking at inherent patterns, anomalies and extracting intrinsic meaning from the data - doing the work of the data scientist.

Keywords: advanced analytics,data science,business intelligence
The Molecular Mechanisms of Cell Fate Reprogramming in Vertebrate Eggs (ReproMech)

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: Life Sciences
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-08-01
End date: 2021-07-31
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

Vertebrate eggs can induce the reprogramming of transplanted somatic nuclei to enable the generation of all cell types of a cloned organism. However, the efficiency of nuclear reprogramming is low, and only a small proportion of the nuclear transfer embryos generated from differentiated cells reach a reproductive adulthood. How the egg achieves the erasure of the previous somatic cell identity and the establishment of totipotency only in some instances remains a question of fundamental importance. Epigenetic modifications were shown to be major roadblocks to reprogramming, but how these roadblocks resist removal by the egg factors and how they are instead propagated during early embryonic cell divisions to induce inappropriate expression of genes in nuclear transfer embryos is not known. This proposal aims at identifying the molecules in the egg that a) help to overcome the epigenetic barriers during successful reprogramming events and b) cause resistance when reprogramming fails. We will then c) interfere with these mechanisms to improve cell fate conversion. The gained molecular insights into cell fate reprogramming via the natural activities present in the egg can then be utilized to develop efficient reprogramming strategies for therapeutic purposes such as enhancing regeneration or improving cell replacement therapies.

Keywords: nuclear transfer,mechanisms of reprogramming,cell fate stability,epigenetic memory
When the smoke clears: predicting and preventing catastrophic erosion and flooding after wildfires in volcanic terrains (FireAndRiskPrevention)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-08-01
End date: 2017-12-10
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Wildfires remove protective vegetation, leaving the landscapes vulnerable to catastrophic erosion, landslides and floods. The resulting losses and mitigation costs following wildfires have increased dramatically in the last 30 years due to (i) the population increase, (ii) the rise in fire severity and torrential rains associated with climatic change, and (iii) critical gaps in and limited transfer of knowledge on fire-effects to support decision making. Major advances have been made in the last decade including the development of cost-risk erosion prediction tools, innovative hillslope stabilization treatments and novel approaches to monitor soil redistribution. In Europe, however, their application in post-fire prevention plans is still in its infancy as the necessary soil-specific calibration and effectiveness testing is missing for most terrain types. In this project I aim to exploit my expertise in Andisols to address this important research and management gap for volcanic regions. These terrains are not only typically very steep, densely populated and highly prone to wildfires, but as they experience some of the most torrential rainfall events worldwide, they are very often subjected to the dramatic consequences of floods, severe water erosion and landslides, which threaten properties and human lives. I propose to use an innovative field, laboratory and modelling approach and carefully chosen implementation programme, involving the validation and application of novel erosion-risk tools. Where applied, these tools will reduce risks to lives and properties, for southern European countries, savings of over €375 million per year can be expected. The collaborative work plan, involving global leaders in academia, industry and management, not only provides me with multidisciplinary and inter-sectorial training of the highest standard. It also ensures the application of the best science and effective knowledge transfer from academia to the end-users.

Keywords: wildfires,disaster risk reduction,knowledge transfer,cost risk runoff erosion models,post fire mitigation treatments,fallout radionuclide tracers,thermogravimetry,end user,andisols
Convective Boundary Mixing in Stars (COBOM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-09-01
End date: 2024-12-31
Duration (months): 76.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Stellar evolution models are fundamental to nearly all fields of astrophysics, from exoplanet to galactic and extra-galactic research. The heart of the COBOM project is to develop a global physical picture of fundamental mixing processes in stars in order to derive robust and predictive stellar evolution models. The complex dynamics of flows at convective boundaries is a key process in stellar interiors that drives the transport of chemical species and heat, strongly affecting the structure and the evolution of many types of stars. The same physical processes can also drive transport of angular momentum, affecting the rotation evolution and the generation of magnetic field of stars. The treatment of mixing processes at convective boundaries (also referred to as overshooting) is currently one of the major uncertainties in stellar evolution theory. This mixing can dramatically affect the size of a convective core, the lifetime of major burning phases or the surface chemistry over a wide range of stellar masses. The main objectives of this project are to (1) develop a global theoretical framework to describe mixing and heat transport at convective boundaries in stellar interiors, (2) derive new physically-based transport coefficients and parametrizations for one-dimensional stellar evolution models and (3) test the new formalisms against a wide range of observations. We will accomplish these goals by performing the most comprehensive study ever performed of mixing processes in stars using a fundamentally new approach. We will combine the power of multi-dimensional fully compressible time implicit magneto-hydrodynamic simulations and rare event statistics, which are usually applied in finance or climate science. The key strength of the project is to establish a direct link between multi-dimensional results and observations (asteroseismology, eclipsing binaries, color-magnitude diagrams) via the exploitation of 1D stellar evolution models.

Keywords: stellar magneto hydrodynamics,convection,mixing,stellar evolution,computational astrophysics
Providing Quality of Experience Through Automated Testing of Devices (InnSpect IoT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Portugal
Call: Accelerating the uptake of nanotechnologies advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

We are adapting InnSpect to be able to test connected devices and the next generation of IoT equipment such as smart home (fridge, washing machine, air conditioning and home security. This new product is called InnSpect IoT. InnSpect IoT is a Quality of Experience solution, based on the InnSpect product that provides automated testing with a graphical user interface (used for final quality testing at the factory for the produced equipment), that replicates user interactions on Set-Top Boxes, mobile devices, and IoT devices. Our overall objective of for the later Phase II project is to scale-up the breakthrough InnSpect testing solution to be able to test connected IoT devices as well, i.e. to finalize the InnSpect IoT product and to bring it to market. The expected outcome of the Phase II project is a miniaturized, scaled-up and marketable InnSpect IoT product that can be marketed right after the project ends. The specific objectives of Phase I Feasibility include: Technological Feasibility Study, Market Assessment, Business Model Assessment, Risk Assessment, IP Assessment, Work Plan for Phase II, Business Plan InnSpect IoT answers to the market gap of a simple automated testing solution capable of performing cross device testing that anyone can manage. When we worked on InnSpect, we learned a lot from the major failures and benefits of the different automated testing solutions already established on the market, which has allowed us to create a solution better prepared to follow new market trends. The InnSpect architecture was developed with scalability and flexibility in mind. Time to market is of the essence, and being able to put the first flag is key, InnSpect is well prepared in terms of structure and with the right amount of resources. At InnoWave, we see InnSpect IoT as the next logical step for our business as it offers major growth potential for us. We will start sales in Portugal, then expand to all of Europe and eventually beyond that

Keywords: automated connected device testing,automated digital device testing,automated wearable device,testing,quality of experience,automated testing
Catalytic C–F Bond Functionalization for the Fixation of Environmentally Persistent Fluorocarbons (FluoroFix)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-04-01
End date: 2021-09-30
Duration (months): 66.0
Total project cost (EUR): 1496925.0
EU funding (EUR): 1496925.0
Participants: 1
Project status: CLOSED

The objective of my project is to develop new methods to transform environmentally persistent hydrofluorocarbons (HFCs) and hydrofluoroolefins (HFOs), into reactive chemical building blocks that can be used in chemical manufacture. My team will achieve this by developing a series of new chemical reactions that transform inert carbon–fluorine bonds in HFCs or HFOs into reactive carbon–boron or carbon–aluminum bonds. My team will show that these reactive species can be used to construct carbon–carbon bonds. The idea is to develop a net series of reactions that results in the fixation of fluorine from low-value, volatile, and environmentally damaging organic molecules to high-value, non-volatile organic molecules. When successful, this approach should open up new routes that allow the chemical industry to repurpose HFCs and HFOs as chemical intermediates, and not end products, that complements European Union legislation. By the end of this project, my team will have pioneered methods for the production of agrochemicals and pharmaceuticals from environmentally persistent fluorocarbons.

Keywords: hydrofluorocarbons,hydrofluoroolefins,main group chemistry,organometallic chemistry,c f bond functionalization
Large-field-of-view large-size 3D holographic displays using wave-front shaping of multiple light scattering fields (HoloWS) (HoloWS)

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: Information Science and Engineering
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-04
End date: 2023-11-03
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Holographic display is considered the holy-grail of three-dimensional (3D) auto-stereo displays because it generates arbitrary wavefronts providing imagery with all the 3D visual cues. However, the information content of a hologram with a large optical extent (the product of area and field-of-view) is much greater than the display capabilities of current spatial light modulators (SLMs) due to these SLM’s low space bandwidth product (a small diffraction angle range and limited pixel number) limiting the viewing angle and size of a displayed 3D holographic image. Therefore, the SLM’s low display capabilities hinder the realization of dynamic 3D displays of holograms with a large optical extent. Here, the HoloWS project will develop a novel holographic display method based on wave-front shaping of multiple light scattering fields to augment both limited viewing angle and image size at the same time, without the aforementioned drawbacks. Using a volumetric light scattering field, generated by highly disordered turbid media mediums, in conjunction with actively controlled wavefront shaping, the HoloWS project will display dynamic holograms with significantly increased viewing angle and image size at the same time. As a result, the viewing angle and the image size are enhanced compared with the case of using the SLM only to solve the inherent trade-off between the display size and visual angle.

Keywords: holographic display,wavefront sesning,3d imaging
Ressource recovery from industrial waste water by cutting edge membrane technologies (ReWaCEM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Innovation actions
Countries involved: Italy,Germany,Spain,Italy,Austria,Germany,Austria,Germany,Spain,Germany,Germany,Spain,Germany
Call: Systematic approaches for resource-efficient water management systems in process industries (H2020-SPIRE-2016, 2016)
Start date: 2016-10-01
End date: 2019-11-30
Duration (months): 38.0
Total project cost (EUR): 5781631.25
EU funding (EUR): 5041866.76
Participants: 17
Project status: CLOSED

The ReWaCEM project aims at reducing water use, wastewater production, energy use, valuable metal resource recovery and water footprint by between 30-90% in the metal plating, galvanizing and printed circuit board industry. In order to achieve these goals, ReWaCem will adopt two cutting edge membrane technologies suitable for the requirements of closed material cycles approaches and recovery concepts in metal processing industry: Diffusion Dialysis (DD) and Membrane Distillation (MD) as an integrated hybrid process. This combination of existing technologies will be adapted to fit the requirements of 4 pilot demonstration sites in representative industrial applications of the metallurgical industry in order to evaluate the accomplishment of the ReWaCEM goals. Through the evaluation of the demonstration a highly attractive technological solution for low energy wastewater treatment will be available to be entered into the large and growing market of metal processing. This market will profit significantly from the technological outcome of the innovation action, with cost savings and environmental benefits as relevant rewards. In order to maximise impact, the project consortium was selected carefully to represent all relevant stakeholders in the quadrant of end users, scientific partners, associations and decision makers and SMEs. The consortium will establish a dissemination & exploitation board that will create a substantial network of interest groups from agencies, industry, research SMEs and research centres as well as universities. The successful exploitation of the results will lead to a post project up-scaling of the technology and a step by step market introduction. Part of ReWaCEM will be to mobilise all relevant stakeholders into promoting innovative membrane solutions for industrial water and resources management, leading to the effective implementation of European directives and policies while creating market opportunities for European industry and SMEs.

Keywords: recovery of process water,recovery of valuable salts,metals and minerals,closed loop processes,energy efficiency,metal industry,metal plating industry
A Human iPS Cell-Derived Artificial Skeletal Muscle for Regenerative Medicine, Disease Modelling and Drug Screening (HISTOID)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-09-01
End date: 2024-02-29
Duration (months): 66.0
Total project cost (EUR): 1499738.0
EU funding (EUR): 1499738.0
Participants: 2
Project status: SIGNED

Skeletal muscle is the most abundant human tissue and contains mainly post-mitotic nuclei. It also expresses the largest gene known in nature – dystrophin – whose mutations cause Duchenne muscular dystrophy, the most frequent and incurable childhood muscle disorder. These characteristics create hurdles that negatively impact on the development of therapies for muscle diseases, ranging from acute tissue loss to chronic neuromuscular disorders. Moreover, a lack of humanised models of muscle regeneration delays the understanding of its regenerative dynamics. My work has pioneered the use of human induced pluripotent stem (iPS) cells to generate genetically corrected myogenic cells for the autologous cell therapy of muscular dystrophies. Here I propose to exploit this technology together with biocompatible materials to develop three dimensional, iPS cell-derived, patient-specific artificial muscles. These bioengineered skeletal muscles will provide a model to study human muscle regeneration and a platform for tissue engineering and therapy development for severe muscle diseases. The project will be developed in two phases. First we will develop the iPS cell-derived muscle in vitro, introducing cell types and stimuli necessary to obtain a functional tissue. In the second phase we will exploit the muscle “organoids” for regenerative medicine and drug development. Specifically, we will investigate the artificial muscle potential for tissue replacement in vivo and then model different muscular dystrophies in vitro to screen drugs with therapeutic relevance. Finally, we will combine the tools and knowledge developed in the two aforementioned areas into a novel platform to optimise skeletal muscle gene and cell therapies. This project will bring together tissue engineering, drug development and cell therapy under the same translational technology, advancing the understanding of pathogenesis and the development of therapies for muscle diseases.

Keywords: disease modeling and tissue engineering