Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Intelligent debt recovery platform. (Cortx)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Ireland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Cortx is an intelligent debt recovery platform that automatically processes and analyses insolvency documents to administer and predict the outcome of debt recovery. Through machine learning Cortx increases efficiency, reduces default levels and improves net margins for all stakeholders in the European insolvency sector. Cortx is designed to be used by insolvency practitioners, credit management firms, and creditors, including financial institutions, local governments, and utility companies. Cortx will generate revenue through a per-case fee model, with a fixed fee charged upfront for every new case onboarded. A recurring per-case per monthly fee is also charged for the ongoing use of analytics and forecasting algorithms on all live cases in a firm’s portfolio. Commercialisation in the UK personal insolvency market will be targeted first, followed by European and North American personal insolvency markets. Our vision is to reduce the level of non-performing debt on a global scale by bringing machine intelligence to the insolvency market. We aim to be the central data manager for the insolvency market allowing real time transfer of information and documentation with a fully auditable and compliant core. The proposed project will enable us to expand into EU markets, by undertaking in-depth market research, devising a market entry strategy for EU countries, and consolidating strategic partnerships necessary for European commercialisation. It will also allow us to further develop Cortx from its current stage by optimising technical aspects and developing its predictive functions, localising it for EU markets and running a pilot with potential customers in these new markets. At the end of the project we will be ready to commercialise Cortx in our go-to-markets of the UK, Germany, France, Italy and Spain.
Innovative Prima system to clean and Polish Bottles (PPB)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In this project, we present an unprecedented solution - PPB; a 3-staged automatic line to completely remove iridescence, lime scales or rust from wine or champagne bottles at a success rate of 70%. It comprises cleaning, effected by nylon brushes impregnated with silicon-carbide resin; polishing using bespoke cotton spindles and a final checking stage that scans if the bottles are clean and sorts them accordingly. The complete line will be sold at a price of €55,000.This automated solution will save champagne/wine producers wine ca €2-3 for every defaced bottle it cleans, by avoiding the transfer of its contents to a clean bottle; a process that compromises wine quality and incurs logistic, bottle inventory and wine spillage costs. For instance, Moet & Chandon, the first client to request such a solution from us, stands to save €11,2million when 70% of its 8million waste bottles pa are cleaned, avoiding wine transfers. Moreover, this machine can reclaim millions of waste bottles stockpiled by producers. Due to the ground-breaking nature and high relevance of our solution, we expect to capture 90% of the champagne suppliers by selling 300 units of PPB within the first 5 years of commercialisation generating a revenue of €16.5millon, cumulative profit of €4.125million and a ROI of 2.41for PRIMA. Such a wide uptake would attract Europe wide savings of at least €94.5million pa for the successfully cleaned bottles (0.9*0.7* €150million loss associated with waste bottles). Our phase 1 technical feasibility study will cover the optimisation of parameters like brush rotation speed vs pressure vs temperature rise at an increased throughput (from the current 1,200 to 3000 bottles/hr); definition of maintenance requirements and listing of the bill of materials. We will also conduct a detailed market and risk assessment then draft an IPR strategy and business plan.

Keywords: polishing,champagne,wine,bottles,iridescence,lime scales,rust,brushing,cleaning
Close binary progenitors and ejected donor remnants of supernovae type Ia (SNBinaries)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-11-01
End date: 2017-10-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

The properties of dark energy are basically unknown, despite the fact that it largely dominates the energy budget of the Universe. Deriving those properties is therefore one of the key unsolved problems in modern astronomy. The analysis of supernovae type Ia (SN Ia), which are regarded as cosmological standard candles, is widely used as a tool to achieve that goal. Large surveys are and will be conducted to reduce statistical errors and help to understand systematic uncertainties. However, the progenitors of SN Ia explosions are still unknown and this introduces systematic uncertainties in the use of SN Ia as standard candles. To correct for this crucial systematic effect it is not only necessary to unambiguously identify the progenitor population, but also to characterize its fundamental properties as detailed as possible. Recently, close, eclipsing binaries consisting of white dwarfs and compact helium stars have been identified as important progenitor candidates. The helium star companions are ejected after the SN Ia explosion with the most extreme velocities known in our Galaxy. This so-called helium double-detonation scenario therefore provides the unique opportunity to study both the progenitor sample and the sample of the ejected companions in detail. During this Marie Curie fellowship we want to use public data of time-domain surveys (e.g. GALEX gPhoton, SuperWASP, PanSTARRS) to identify the progenitors and ejected companions. Based on photometric and spectroscopic analyses, we want to characterise representative samples of them. These fundamental samples can be used in the future to reconstruct the formation and evolution of the progenitor systems. Modelling this formation and evolution for the early Universe and comparing it to the local sample will uncover the intrinsic differences between SN Ia for different ages of the Universe, which cause the systematic effects when using SN Ia as cosmic distance indicators.
Understanding the Commitment in Organized Crime (UCOC)

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: Social Sciences and Humanities
Countries involved: France,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-01
End date: 2021-02-28
Duration (months): 36.0
Total project cost (EUR): 264668.4
EU funding (EUR): 264668.4
Participants: 2
Project status: CLOSED

This project is structured around a central question: how do individuals get involved in organized crime? To answer it, the analysis will focus on the social conditions of the criminal commitment and promotion towards superior spheres of drug trafficking. I will use the notion of “criminal career,” increasing and updating the existing knowledge on the steps that allow an upward social mobility. This problematic implies first to describe and analyze the universe of organized crime, its subdivisions, its hierarchies, its divides, and the structure of its opportunities. Then, it also necessary to put the framework of the biographical trajectories into a historical, social and political perspective. Behind this theme of criminal promotion, we raise more theoretical questions on the interpretative regimes of crime commitment: we postulate that the different positions that the same individual occupies in the criminal world imply different theoretical backings. Only the in-depth study of the biography, the criminal experience, and the judiciary career of the subjects will allow me to isolate and articulate the stages, the states, the different moments, and to understand their motivations and the changes throughout time and space. The corollary of this questioning on the stages of criminal careers is the joint study of the social spaces of criminality, understood as places, norms, and actors that structure and animate distinct and hierarchized domains that are linked to criminality. This is the second innovative aspect of this project: I want to contribute to a cartography of the worlds of crime, of their borders, and their porosities with the more conventional spaces of the social life. This is the reason why I chose the specific question of drug trafficking: by its triple dimension, local, national and international, and with regards to the multiplicity of the tasks and the operators that this trade implies, several social spaces of crime are mobilized.

Keywords: inequalities,segregation,criminality,corruption,exclusion,gangs,drug,penology,penal justice,criminology,education
Organic food quality control and metabolomic fingerprinting (ORGANIC QUAL TRACERS)

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: Chemistry
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-03
End date: 2018-06-02
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

In the last decade, the production and consumption of organic food has increased dramatically worldwide. The EU organic food market generates a turnover of more than 22 billion € with a total of approximately 11 million ha and 250,000 farms (2013). However, based on the literature reviewed, neither internal supply nor the legislative framework has kept up with this market expansion, been necessary a further harmonisation of methodology in data collection. On the other hand, the lack of reliable markers for the discrimination between organic and conventional products makes this market susceptible to attempted fraud. The Commission Regulation in a recent report (No 889/2008) highlights the need for greater cooperation between industry, Government, enforcement agencies, consumer groups and organisations. In this context, the project proposes to confirm the utility of the new state-of-the-art techniques in mass spectrometry analysis (IRMS and HRMS), in combination with MSA, to improve information (qualitative/quantitative) in both food control safety and quality and their application to organic products. It will offer analytical approaches to (i) obtain wide-ranging information about contaminants, (ii) determine natural components and (iii) establish (dis)similarities between products. The “ORGANIC QUAL TRACERS” project comes in response to the key requirement for solving the authentication challenges in the organic-food sector, especially in organic vegetables as they are the pioneering products in Europe. The proposal offers a contribution to the objectives set out in the Horizon 2020 Strategy (“A strategy for smart, sustainable and inclusive growth”).

Keywords: statistical analysis,hrms,pesticides
CORE NOISE ENGINE TECHNOLOGY (CORNET)

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: Germany,Germany,United Kingdom
Call: Advanced analytical tool for the understanding and the prediction of core noise for large civil aero engine with low emission core (H2020-CS2-CFP01-2014-01, 2014)
Start date: 2016-03-01
End date: 2019-04-30
Duration (months): 38.0
Total project cost (EUR): 997772.25
EU funding (EUR): 997772.25
Participants: 3
Project status: CLOSED

Lean burn combustor technologies introduced to reduce NOx emissions are proving to be inherently noisier than conventional combustors, generating broadband noise that can be heard external to the aircraft. Without careful design and optimisation, there is a danger the low emission cores will cause the aircraft engines to exceed the Horizon 2020 noise requirement. The research in the CORNET proposal is aimed at understanding the flow physics involved in the generation and propagation of core noise in low emission cores. It includes both the ‘direct noise’ of combustion, pressure waves generated directly by unsteadiness in the rate of combustion, and the ‘indirect noise’ generated as entropy waves accelerate through the Nozzle Guide Vanes (NGVs) at combustor exit and propagate through turbine blade rows. Large Eddy Simulations of a combustor with a realistic engine fuel injector operating at representative engine conditions are validated through high-speed optical diagnostics applied to a high-pressure rig. The combustor modelling gives the entropy and acoustic waves incident on the NGVs. The generation of in-direct noise is predicted through unsteady high-resolution computations of the interaction of these entropy and acoustic waves within a high-pressure turbine stage. The new understanding will be captured in an advanced analytical combustion noise prediction tool that can be readily used by industry.

Keywords: combustion,turbine,noise
Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Italy,Austria,Germany,Italy,Italy
Call: Environment and Meteorology for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 30.0
Total project cost (EUR): 999285.0
EU funding (EUR): 999285.0
Participants: 6
Project status: CLOSED

The SINOPTICA project aims at exploiting the untapped potential of assimilating remote sensing (EO-derived and ground-based radar) as well GNSS-derived datasets and in situ weather stations data into very high-resolution, very short-range numerical weather forecasts to provide improved prediction of extreme weather events to the benefit of ATM operations. This will be done by setting up a continuously updated database of remote sensing-derived, GNSS-derived and in situ weather stations variables, in combination with an automated assimilation system to feed an NWM. The usefulness of deploying dedicated networks of sensors to monitor atmospheric variables at high spatial resolution in the vicinity of ATM "hotspots" such as airports will be investigated as well. SINOPTICA weather forecast results will be integrated into ATM decision-support tools, visualizing weather information on the controller's display, and generating new 4D trajectories to avoid severe weather areas. The usefulness of the newly developed SINOPTICA tools will be monitored during the project and evaluated, thanks to the involvement of ATM stakeholders in the project consortium and advisory board.

Keywords: high resolution nwm,data assimilation,weather radar,weather stations,ground based gnss,gnss ro,earth observation,atm decision support,weather visualization for atm,4d trajectory updating
Balancing demand-response platform for an efficient, reasonably-priced and sustainable electricity market (NegaWh EXchange)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Energy operators are unable to integrate the share of energy generated from the increasing intermittent renewable sources such as wind and solar-PV, due to the difficulty for storing energy in the grid. An effective way to solve that is to precisely assess demand and response in real-time; however, this is highly difficult due to the complexity involved in getting information in both directions, even more so due to the poor ICT integration in the energy grid. Additionally, new regulation is setting more audit and traceability requirements, particularly difficult in such a dynamic market of intangible assets. As a result, real-time action is required, fostering the concept of “Energy-Data-as-a-Service” (EDaaS) as a valuable asset for all players in energy industry. This is pushing strong changes in the sector to embrace digital transformation quickly (Internet of Things, Artificial Intelligence, Big Data). Tecnalogic is an Italian start-up founded in 2013, owned by highly experienced professionals in digital services for energy industry. NegaWh Exchange, its core product, is a software platform that manages all the raw data coming from the different points of the energy grid to solve electric imbalance by a process of digitization, transforming energy into a programmable asset (NegaWh). It is composed of 4 modules: Profiling, Scheduling, Balancing and Modelling. A prototype was successfully tested in Sept. 2016. Main benefits for customers (Balancing Service Providers, BSPs) are: Easier energy budgets, forecasts and reduction goals; Energy optimization (up to 40% energy expense reduction); Energy procurement & supply based on real-time data; Greater transparency around energy performance, an excellent tool to get green seals. For Tecnalogic, the successful commercialisation of NegaWh Exchange will generate €81.87M revenue and 65 new employees by 2025 (591% ROI).

Keywords: energy management,demand response model,energy data as a service,software platform,energy balance,digital energy
Filling-in the blank: Perceiving through the lens of prior knowledge. (MemoryBasedPercepts)

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: Social Sciences and Humanities
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: SIGNED

As soon as we open our eyes, we have the immediate impression of a richly detailed visual world. However, the empirical data on visual capacity suggest that people perceive and remember strikingly little of the world around them. Why people think they are highly skilled in visual perception when the empirical evidence shows that they see so little? One exciting possibility is that our perceptual experiences represent more than the physical visual input, in that they are rather constructed based on prior knowledge. Indeed, particularly when the visual information in input is limited or absent, our memories about the world allow to fill-in the visual scene, thereby generating the visual experience of objects that are subjectively perceived, but objectively not visible. These memory-based percepts may allow to render the rich visual world that people perceive, independently of capacity-limited sensory processing. In this project I ask how memory-based percepts are instantiated in the brain, and whether they are distinct from memories that do not elicit the subjective impression of seeing an object. To answer this question, I will make use of a combination of correlational and causal neurocognitive methods. First, I will characterise the spatiotemporal profile of memory-based object percepts via functional Magnetic Resonance Imaging (fMRI) and Magnetoencephalography (MEG). Then, I will use Transcranial Magnetic Stimulation (TMS) to test whether activity of visual cortex is causally necessary for memory-based percepts to arise. The present studies will elucidate whether visual cortex determines our visual experiences beyond the sensory information in input. In doing so, they speak to the broader question of whether there is a "joint" between perception and cognition towards a better understanding of the content of our phenomenological experiences.

Keywords: object perception,scene perception,fmri,category selectivity of visual cortex,abstract representations,visual experience,top down processing
REpurposing lung Surfactant Protein B for Inhalation therapy with RNA therapeutics (RESPIRNA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Belgium
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-05-01
End date: 2026-04-30
Duration (months): 60.0
Total project cost (EUR): 1985828.0
EU funding (EUR): 1985828.0
Participants: 1
Project status: SIGNED

RESPIRNA aims to repurpose lung surfactant protein B (SP-B) to promote the cytosolic delivery of RNA in lung-related target cells. RNA therapeutics, including small interfering RNA (siRNA) and messenger RNA (mRNA), are poised to revolutionize medicine. However, despite a clear unmet medical need in many lung diseases, no RNA formulations are currently available for pulmonary administration. To unlock the full therapeutic potential of RNA drugs, safe and efficient nanomedicines that can deliver them inside target cells are required. SP-B is a key component of pulmonary surfactant, essential for mammalian breathing. In contrast to the general belief that pulmonary surfactant constitutes an important extracellular barrier for macromolecular drug delivery in the lung, I recently discovered a previously unknown property of SP-B in its ability to promote transmembrane delivery of RNA inside cells. Here, I aim to repurpose this biomaterial for intracellular RNA delivery, (1) by exploring SP-B's cellular mode-of-action towards improved cytosolic delivery of RNA, (2) by designing multifunctional and multicomponent lung surfactant nanocarriers and (3) by applying these nanocarriers for RNA delivery in the lung, using models of obstructive lung disease. Gaining mechanistic insight into how an endogenous membrane-active protein like SP-B can mediate cytosolic RNA delivery will allow me to maximize SP-B mediated delivery of promising RNA therapeutics and will fuel rational design of lung surfactant inspired nanocarriers for inhalation therapy. Beyond RESPIRNA, I anticipate that such nanocarriers will be more generically applicable for a wider variety of membrane-impermeable drugs, nanomedicines and pathologies.

Keywords: nanomedicine,rna therapeutics,inhalation therapy,endosomal escape,membrane fusion