Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
How the monsters were made: the formation of the most massive black holes in the Universe (HIZRAD)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Every massive galaxy in the Universe has at its heart a super-massive black hole (SMBH), with some extreme galaxies able to build SMBH with masses in excess of 100 million solar masses within only the first few Gyr of cosmic history. How did these individual extreme SMBH form so quickly, and what was the accretion history of the wider SMBH population in the early Universe? As a probe of black-hole accretion that is not subject to dust obscuration, sensitive new radio continuum surveys offer a unique opportunity to study the first few Gyr of SMBH formation in unprecedented detail and answer these fundamental questions. This project will combine two surveys the participant has a leading role in, the Low Frequency Array (LOFAR) Surveys Project and the WEAVE-LOFAR spectroscopic survey, to build a sample of radio selected active galactic nuclei in the early Universe that reaches new and extremely important areas of parameter space and is >100x larger than existing samples. The unprecedented scale and sensitivity of these datasets will result in the first robust measurements of the accretion and mass history of SMBH in the early Universe. This project will also discover the first sample of luminous radio galaxies within the Epoch of Reionization; an important breakthrough that opens an entirely new window onto the process of cosmic reionization - one of the outstanding current cosmological challenges. The University of Edinburgh is a leading centre for the study of galaxy and black-hole formation in the early Universe, both through radio continuum and optical spectroscopy surveys. The researcher is an expert in the optical astronomy techniques required to perform the proposed robust population studies and is uniquely placed to exploit the exquisite WEAVE-LOFAR data. Together, these transformational datasets and the complementary expertise of the host and researcher will result in world-leading research that has extensive impact within the wider astronomical community.

Keywords: epoch of reionization
Linking social network dynamics and demographic change in wild populations (NETDEM)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-03
End date: 2024-01-02
Duration (months): 24.0
Total project cost (EUR): 184707.84
EU funding (EUR): 184707.84
Participants: 1
Project status: TERMINATED

Quantifying the interplay of demography and social structure is a key challenge in diverse research fields from ecology to sociology. Social relationships, and the way they are interconnected to form the social network of a population, are closely linked to population dynamics. Changes in population size can change these networks, with implications for important ecological or evolutionary processes, such as cooperation, conflict and infectious disease spread. For example, links between social structure and demography can influence whether a population acts as a reservoir host of diseases with societal impacts, or shape how social animals respond to sudden human-induced environmental change. However, due to the complexity of quantifying the demography and social network structure of wild populations, we still understand little about how interplay between the two arises or when it is important. The objectives of the proposal are to develop a modelling framework that allows the integration of demography and social network structure, and apply it to gain insights into social and disease dynamics in European badgers. Through cross-disciplinary collaboration, I will integrate cutting-edge statistical approaches in the modelling of social networks and population dynamics, and produce software to make these new tools widely available to other researchers. The host lab, led by Dr Gimenez has world-leading expertise in mathematical ecology, animal demography and conservation. The candidate, Dr Silk, is an expert in applying social network analysis to study behavioural dynamics and infectious disease transmission. This combined skillset will enable the development of innovative statistical tools that can be applied across research disciplines (e.g. ecology, sociology, public health), as well as address timely questions at the interface of population biology and behavioural ecology that have wide-reaching implications for wildlife conservation and management.

Keywords: demographic modelling,mark recapture model,social network analysis,infectious disease dynamics
The Birth of Party Democracy. The Emergence of Mass Parties and the Choice of Electoral Laws in Europe and North America (1870-1940) (partydemocracy)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Spain
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2017-01-01
End date: 2022-06-30
Duration (months): 66.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: CLOSED

The project will develop a theoretically-based account of the emergence of mass parties, the choice of electoral institutions, and the final crystallization of different party systems in Europe and North America during the emergence of mass democracy and the formation of modern parties (1870-1940). It will combine statistical and historical methods to explain the formation of diverse party systems as the outcome of political choices made at particular critical junctures that involved the creation of nonsocialist and socialist parties, the mobilization of their corresponding electorates, and the strategic response of ppolitical elites (often through the manipulation of electoral laws and sometimes through the creation of new electoral coalitions). The project integrates (and, in part, adjudicates between) two different research traditions. It combines sociological approaches, initially used to explain variation in party systems in terms of the nature of underlying societal cleavages, with institutionalist accounts, showing how organizational factors (such as the extension and strategic choices of trade unions) and institutional variables (the choice of electoral rules) shaped parties and party systems in interaction with existing social cleavages. The project is also innovative empirically. It will assemble a geocoded data set of electoral returns matched with socioeconomic characteristics at the constituency level in several European countries (Belgium, France, Germany, Great Britain and Sweden). It will then infer individual behavior with the aid of new methods of ecological statistical analysis. It will examine the organizational strategies of parties and, particularly, the choice of electoral institutions, through the careful use of focused comparisons across countries and time periods.
Fully automated laser guided inspection robot for weld defect detection on ship hulls (ShipTest)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Greece,Greece,United Kingdom,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2016-11-01
End date: 2019-10-31
Duration (months): 36.0
Total project cost (EUR): 2997911.68
EU funding (EUR): 2389545.51
Participants: 6
Project status: CLOSED

The European ship fleet counts 23,000 vessels, accounting for the 40% of the global gross tonnage. Marine industry is a major prosperity engine of the EU contributing a total of €147bn to the GDP and supporting more than 1.7m jobs. However, the vessels’ structural integrity verification is a major issue for the shipping industry. Regulations dictate that Non Destructive Testing (NDT) inspections should be performed every 5 years for the first decade of a vessel’s life and every 2.5 years thereafter. Ship hull weld inspection is a challenging process as safety-critical welds length exceeds 120km in large vessels and involves human inspectors on site using scaffolding or cherry-pickers. These procedures require long periods of dry-docking incurring loss of revenue and costs amounting to more than €150k per inspection. Moreover conventional ultrasonic techniques cannot be applied on metal plates of thickness <10mm, which are commonly used nowadays to reduce ship weight. This necessitates the use of dangerous radiographic techniques posing health and safety issues. These challenges give rise to a unique business opportunity which Spectrum Labs and Tecnitest (leading NDT equipment and service providers) along with Innora (dynamic high-tech company specializing in robotics) and TWI (global leader in NDT technology) aspire to seize with the help of Lloyds’ Register, the most reputable shipping service provider with 230 years of experience. We aim to redefine ship NDT inspection by commercializing ShipTest, a laser-guided robotic crawler able to automatically track the weld and inspect the hull while the ship is at sea. Through a combination of bleeding-edge ultrasonic and electromagnetic techniques ShipTest can accurately inspect metal plates of <10mm thickness eliminating the need for radiography. By commercialising ShipTest we will grow our businesses by €47.7m, cumulatively over 5 years, generating €19.04m in profits and creating 398 direct jobs and 1185 indirect jobs

Keywords: non destructive testing,ship hull,paut,acfm,robotic ndt,robotic crawler
Project Buffer ― a new solution to fast charging electrical vehicles “on the road”. (Project Buffer)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Denmark
Call: Small business innovation research for Transport (H2020-SMEINST-1-2015, 2015)
Start date: 2015-06-01
End date: 2016-07-31
Duration (months): 14.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Kamis Wrang ApS is seeking phase 1 funding in order to assess the commercial feasibility of Project Buffer ― a new solution to fast charging electrical vehicles “on the road”. Project Buffer is aimed at offering a cost-efficient, highly scalable solution in answer to the urgent demand by governments and automotive producers for a reliable and accessible fast charging infrastructure network to ensure the uptake of electric vehicles globally. Today only approx. 519,000 electric cars are “on the road” at two of the biggest markets in the world - Europe and the US. If not enhanced significantly, the reduction of CO2 emissions and air pollution will be difficult to reach and the independence of oil remaining a big issue. The drivers range anxiety (the fear of the battery running out of energy before reaching the destination) is one of the highest barriers to fast adaption of electric vehicles. Project Buffer solves the challenge by providing infrastructure providers with a cost efficient solution to fast charge electric vehicles. Based on low-cost hardware components connected with an innovative battery platform the system offers the most cost-efficient alternative to traditional fast charging and provides a highly scalable solution to the infrastructure providers. The feasibility study is intended to assess the commercial viability and marketability of the prototype system. In particular, client feedback to optimize the solution and establish key operational parameters, verifying the appropriate business model and exploring grounds for IPR. If the study is positive, a Phase 2 application will be considered to take the project into scale.

Keywords: fast chargers,electric vehicle infrastructure,ev charging
Intelligent and cost-efficient wind turbine power production using optical sensors (ICEWIS)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Denmark
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2016-03-01
End date: 2016-07-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Sensors are widely used for optimization of technical systems. In most cases they are electrical, hence not safe to operate e.g. on wind turbines blades due to lightning risk, on fuel tanks, in strong magnetic fields or close to generators due to the risk of electrical short circuits. Furthermore cabling is costly, can be cumbersome to handle and signals are difficult to transmit reliably over long distances. CEKO Sensors (CEKO), a spin-out from the Technical University of Denmark (DTU), Department of Nanotechnology, will disrupt the sensor market by providing sensors that are 100% optical, frequency modulated, have very high sensitivity and are metal-free. The force sensitivity of the sensors has shown to be 1200 times larger than what can be obtained using comparable technologies. At the same time the physical size is 100 times smaller and the weight 3000 times less than other sensors on the market today. These unique features make them crucial for applications where sensitivity, size and weight are critical parameters. The initial proof-of-market application for the CEKO sensor is wind turbines. Wind turbines have been selected as CEKO sensors addresses several significant challenges for wind turbines owners: Monitoring of blade damages for reduced maintenance and repair costs, optimization of blade loads for efficient production and detection of icing on the blades, which has a high impact on the power production and the safety on ground. The CEKO sensors will initially be marketed through Brüel & Kjær, a world leading sensor manufacturer, who has estimated the direct achievable market for the CEKO sensors in the wind power segment to be 36.000 sensors/ year worth €22 million. The objectives of the over all innovation projects are to 1) finalise the development of the optical sensor for wind turbines 2) Complete a full scale field test in collaboration with H&L Wind A/S (owner of several wind parks in Germany) 3) Obtain the required industry certifications.

Keywords: wind turbines,structural health monitoring,production optimization,ice detection,blades,sensor,metal free,optical mems
Ferroelectric REsistors as Emerging Materials for Innovative Neuromorphic Devices (FREEMIND)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-01
End date: 2021-05-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

Neuromorphic computing such as deep-learning algorithms arise as a promising solution to treat the exploding amount of data generated worldwide, but at the cost of expensive time and energy budget on conventional hardware. There is an urgent need for a low-power, compact neuromorphic chip that can support bio-inspired computing: a network of cells collocating storage (non-volatility) and computing (synaptic plasticity). This work proposes to achieve such cell using a ferroelectric resistor, down-scaled to nanometer thickness to allow direct electron tunneling through the ferroelectric barrier (ferroelectric tunnel junction): the learning functionality (i.e. synaptic plasticity) will be implemented through the control of the distribution of the (non-volatile) ferroelectric domains. The fellow will bring her expertise in ferroelectric tunnel junctions and will combine it with IBM’s expertise in device and circuits integration and characterization, making use of the state-of-the-art equipment offered by their research center. In order to accelerate the creation of an end-to-end neuromorphic device, she will lead a collaboration with ETH Zurich and will benefit from their expertise in predictive physics-based modeling. The research project will aim at: (i) the demonstration of a non-volatile and plastic ferroelectric “synapse” made of Hf0.5Zr0.5O2 – a fully CMOS-compatible material, (ii) the development of models of individual cells and of a neural network and (iii) providing design guidelines for neuromorphic hardware based on this technology. The outcome will be to evaluate performances not only of individual synapses but of a neural network as a whole. Through the Action, the fellow will not only aim at creating a novel technology; but also at leading an interdisciplinary research project uniting complementary actors for an innovative solution to a society challenge.

Keywords: ferroelectricity,tunnel junctions,memristors,bio inspired,neuromorphic hardware,neural networks,physics based modeling,finite element method,deep learning,microelectronics
Diabetic nephropathy modelling in hESC-derived 3D kidney organoids (EPIORGABOLISM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-04-18
End date: 2021-08-14
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

Diabetic Nephropathy is the leading cause of end-stage renal disease (ESRD). To date, treatment of DN is mainly based on drugs acting on glycaemic and blood pressure control, as there is no validated therapy able to stop the progression towards renal failure. One of the main impediments for developing new therapies for DN has been the lack of a good preclinical model which can recapitulate important functional, structural, and molecular features of advanced human diabetic kidney disease. Here, we aim to develop a DN modelling using human Embryonic Stem Cell (hESC) derived kidney organoids which can recapitulate the in vivo architecture, functionality, and genetic signature of DN. Due to the increasing evidences that links aberrant DNA methylation with kidney fibrosis and metabolic reprograming in DN, we hypothesize that early DN progression is promoted by the metabolic alterations occurring in diabetic patients, resulting in the epigenetic reprogramming of kidney proximal tubular epithelial cells (KPTCs). Based in my background in the fields of metabolism and diabetes, together with the expertise of Dr. Montserrat in the field of somatic reprograming, DN and tissue regeneration/differentiation, this proposal seeks to:1) Elucidate the methylation status of the promoters/enhancers of genes encoding enzymes and regulators of fibrosis and fatty acid oxidation in proximal tubular cells obtained from diabetic patients at different stages of DN progression 2) Establish two in vitro models using hESC-derived kidney organoids; an engineered DN in vitro model, using CRISPR Cas9 to mimic the epigenome signature of DN patients and a physiological DN in vitro model which mimic the diabetic physiological chemistry. The information gained from this DN modelling will offer improved insight into disease pathology and progression. Moreover, it may also serve as a tool for drug discovery to identify therapeutic targets for DN.

Keywords: methylation,crispr cas9,diabetic nephropathy,kidney organoids
Wind tunnel test for flow control at the engine/pylon with a representative aircraft configuration under fully realistic flow conditions (AFloWTest)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Netherlands,Netherlands
Call: Windtunnel test for flow control at the engine/pylon with a representative aircraft configuration under fully realistic flow conditions (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 942500.25
EU funding (EUR): 942500.25
Participants: 2
Project status: CLOSED

The Active Flow Wind tunnel Test (AFloWTest) project considers the testing of a realistic high lift configuration half-model with a large and with a Ultra High Bypass Ratio (UHBR) flow-through nacelle. An existing half model will be adapted with an UHBR nacelle and for the application of Active Flow Control (AFC) systems at the upper side of the wing near the wing pylon interface in order to improve the high lift performance of the configuration. The application of AFC is considered in order to diminish the detrimental effects of applying a large nacelle in close proximity of the wing, necessitating a slat cutback. Different AFC systems will be installed and tested: a Pulsed Jet Actuator (PJA) and a Steady Blowing (SB) device. Each will be tested at one position. Low speed tests (Ma=0.1 to 0.3) need to be made at representatively high Reynolds number. With the target half model sufficiently high Reynolds number (Re based on mean aerodynamic chord) can only be obtained in a highly pressurized wind tunnel or in a cryogenic facility. The DNW-KKK cryogenic wind tunnel has been selected for the test. Overall model forces will be measured and local influence of the AFC systems needs to be monitored, using surface streamline pattern visualization with mini-tufts, complemented with detailed PIV measurements of the separated flow and flow topology over the wing downstream of the wing pylon/nacelle interface.

Keywords: active flow control,high lift,uhbr,cryo piv