Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced Travel Companion and Tracking Services (ATTRACkTIVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Spain,Italy,Germany,France,United Kingdom,Portugal,United Kingdom
Call: Travel companion and tracking services (H2020-S2RJU-CFM-2015-01-1, 2015)
Start date: 2016-09-01
End date: 2019-05-31
Duration (months): 33.0
Total project cost (EUR): 3212110.0
EU funding (EUR): 2248477.01
Participants: 8
Project status: CLOSED

Mankind’s carbon footprint is the underlying cause of global warming. Reducing it drastically within the next few years is imperative and favouring public transportation will be a deciding factor in this race. New technologies have the potential to enable the creation of better public transportation systems, thus enticing citizens away from using private means. Today’s travellers indeed consider public transportation as a source of difficulties and a cumbersome way to travel. When riders choose their journeys, they are often left to fend for themselves. They have to figure out transfers between multimodal forms of travel and how to handle disruptions and re-plan their route, when not left stranded. In addition, the current variety and heterogeneity of services along multimodal journeys is another serious source of complication and frustration. Increasing the attractiveness of rail transport requires a novel and integrated solution that will be developed in the IP4 part of the Shift2Rail project. It will guide, support, inform, and even entertain users throughout their entire itinerary, adapting to unforeseeable interruptions and events in order to propose alternative routes, including in the first and last miles. A real door-to-door travel solution including all modes of transport will be developed along with new forms of traveller experiences aiming to transform the travel itself into an “ATTRACkTIVE” part of the journey. This proposal aims to implement both the Shift2Rail Trip Tracker (TD4.4) and Travel Companion (TD4.5), two major components to materialise this vision and deliver seamless door-to-door travel support encompassing both public and private transportation portions of a journey. This includes disruption handling, navigation and user centric ubiquitous applications as well as the required tooling and modular design to foster adoption and enable future refinements, new concepts and ideas.

Keywords: one stop shop,co modal,extensible architecture,customer experience,seamless,re accommodation,positioning,guidance,editor for traveler experience,deviation recognition,privacy,preferences,cloud wallet
EOPEN: opEn interOperable Platform for unified access and analysis of Earth observatioN data (EOPEN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Korea, Republic of,Finland,Greece,Greece,Belgium
Call: EO Big Data Shift (H2020-EO-2017, 2017)
Start date: 2017-11-01
End date: 2020-10-31
Duration (months): 36.0
Total project cost (EUR): 2182375.0
EU funding (EUR): 1999500.0
Participants: 10
Project status: CLOSED

Earth Observation data access through the Copernicus data distributor systems has paved the way to monitor changes on Earth, using Sentinel data. One of the main objectives of EOPEN is to fuse Sentinel data with multiple, heterogeneous and big data sources, to improve the monitoring capabilities of the future EO downstream sector. Additionally, the involvement of mature ICT solutions in the Earth Observation sector shall address major challenges in effectively handling and disseminating Copernicus-related information to the wider user community, beyond the EU borders. To achieve the aforementioned goals, EOPEN will fuse Copernicus big data content with other observations from non-EO data, such as weather, environmental and social media information, aiming at interactive, real-time and user-friendly visualisations and decisions from early warning notifications. The fusion is also done at the semantic level, to provide reasoning mechanisms and interoperable solutions, through the semantic linking of information. Processing of large streams of data is based on open-source and scalable algorithms in change detection, event detection, data clustering, which are built on High Performance Computing infrastructures. Alongside this enhanced data fusion, a new innovative, overarching Joint Decision & Information Governance architecture will be combined with the technical solution to assist decision making and visual analytics in EOPEN. Apart from EO product-oriented data management activities, EOPEN also exploits user-oriented feedback, tagging, tracking of interactions with other EOPEN users. EOPEN will be demonstrated in real use case scenarios in flood risk monitoring, food security and climate change monitoring.

Keywords: copernicus services,big data,social media,weather forecasts,climate change,flood risk monitoring,food security
Simulations of CrOr and fan broadband NoisE with reduced order modelling (SCONE)

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: France,France
Call: High fidelity Large Eddy Simulation using reduced model for engine broadband noise prediction (H2020-CS2-CFP04-2016-02, 2016)
Start date: 2017-09-01
End date: 2020-12-31
Duration (months): 40.0
Total project cost (EUR): 616267.5
EU funding (EUR): 600000.0
Participants: 3
Project status: CLOSED

The prediction of Open Rotor and UHBR Fan broadband noise on realistic configurations is still an open challenge. The two major sources of broadband noise are the trailing edge noise and the wake interaction noise. The first source is related to a strong vortex shedding at the blade trailing edge and the second to the interaction of the front blades wake turbulence with the rear blades leading edge. Up to now, semi-analytic models used in the industry for the prediction of the broadband noise of these two sources are based essentially on turbulence statistics from steady low-resolution simulations which yield to inaccurate results. The SCONE project proposes to improve the Open Rotor and UHBR Fan broadband noise prediction by using high-fidelity Large-Eddy Simulation (LES). The turbulence statistics obtained with this high-fidelity approach will allow to directly compute the noise but also to provide enhanced inputs to improve semi-empirical models. In order to reduce the cost of LES simulations, optimized numerical methods will be developed. Therefore, the SCONE project deals with three objectives: to build improved turbulence statistics data to feed the semi-analytic models by the use of high fidelity CFD methods, to provide validated high-fidelity methods for direct broadband noise computation and to improve existing semi-analytic models. This project will contribute to the development of ‘quiet’ CROR and UHBR engines.

Keywords: broadband noise,reduced order model,cror
Automatic Hydraulic Jack with improved capacity, safety and efficiency for agricultural implements (Novel Jack)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-11-01
End date: 2021-05-31
Duration (months): 31.0
Total project cost (EUR): 1488841.25
EU funding (EUR): 1042188.88
Participants: 1
Project status: CLOSED

The pace of innovation has never been greater in Precision Agriculture. Yet, a key operation that all farmers perform as it is the process of lifting Ag-machines through the use of a jack, still remains manually operated. Manual jack operation is a big contributor to agriculture’s high fatal injury rate, i.e. 12 fatal injuries/100,000 workers. With the total annual cost of fatal injuries estimated €962 million/per year for EU’s economy, the need of farmers for an automated solution that increases their safety has never been greater. Hence, our customers, Original Equipment Manufacturers (OEMs) of Ag-machinery, in their effort to upgrade their product offering to farmers, urgently need a fully automated agricultural jack with enhanced safety features. More so, they require the new jack solution to be fully compatible with the ISOBUS protocol, the communication protocol for tractors and Ag-machines. We at SIMOL, after years of R&D, developed Novel Jack the first fully automated jack in the market. Novel Jack is equipped with an innovative safety monitoring system, supported by active and passive safety procedures optimised for fast response. Novel Jack spots a dedicated ISOBUS module that will enable OEMs to easily integrate Novel Jack with their Ag-implements; hence ensuring wide market adoption. Novel Jack is at TRL-6, with the system being optimised in our facilities. With a feasibility plan developed under a Ph-1 grant, we now seek a Ph-2 grant of €1 million to advance Novel Jack to TRL-9. The final outcome of this project will be a fully automated jack certified for its’ mechanical performance and ISOBUS compatibility to industrial standards. To speed-up commercialisation, we will showcase our product to world’s biggest OEMs that have shown great interest in our technology. Through Novel Jack commercialisation in Europe and USA, we will grow our business by €14.5 million in gross revenues and €5.1 million net profits generating a total of 13 jobs, by 2025.

Keywords: agricultural implements,fully automated hydraulic jack,isobus,safety monitoring system,sinking detection procedure,weight overload,tractor virtual terminal
Data science tool for Epidemic FOrecastinG (DEFOG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Belgium
Call: ERC Proof of Concept Grant (ERC-2018-PoC, 2018)
Start date: 2019-10-01
End date: 2022-03-31
Duration (months): 30.0
Total project cost (EUR): 131563.0
EU funding (EUR): 131563.0
Participants: 1
Project status: CLOSED

Several organisations active in the health care market make decisions based on an estimation of the number of individuals infected with an infectious disease. These organisations benefit from a timely and trust-worthy prediction of the number of infected individuals. To date, infectious disease predictions tools are inadequate because they typically include limited and domain-specific data and because the translation to impact for specific stakeholders in the healthcare market is lacking. DEFOG proposes a data science solution as we will integrate classical surveillance data, pharmacy sales data, out-of-hours general practitioners data and social contact data in a novel real-time forecasting tool that will yield better and more rapid warning signals of the number of infected cases. DEFOG will produce software and know-how under intellectual property of the principal investigator which will be exploited through licence agreements with and consultancy services for various stakeholders. DEFOG will build on recent advances in mathematical modelling for infectious diseases as part of the original ERC-TransMID project. The team offers a vast amount of expertise in mathematical and infectious disease modelling, computational processing, business development and has an extensive collaborative network with research centres, regulatory agencies and companies, of which 4 entities already expressed interest in exploring the use and/or sharing data for of the proposed innovative real-time disease forecasting tool.

Keywords: infectious disease,disease burden,forecasting,software,pharmaceutical sector,pharmacies,public health,laboratories,warning signals,data science
Disruptive purification consumables for the pharmaceutical industry (Separative)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-03-01
End date: 2018-07-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SEPARATIVE is a novel chemical purification and analysis method based on a ground-breaking multicapillary material and the related manufacturing process, both protected by four patents. This brand-new material allows to offer reusable low-pressure High-Performance Liquid Chromatography (HPLC) columns. It is the first innovation that achieves chromatographic purification and analysis results without the high pressure and high cost of the state-of-the-art chromatography. SEPARATIVE reduces the cost of current chromatography by a factor of 10-50. Within the pharmaceutical chromatography market, four types of columns are. Two of these types – flash and preparative – can directly be reached with our first market entrance product range. The flash columns market size is around €240 million and the preparative €110 million. Of those €350 million, we will reach around €240 million with our first business case and then extend the range and the span of the obtainable market. There is a dynamic growth trend with flash columns growing at 10% annually and preparative at 5%. Being able to use chromatography beyond the experimentation phase would bring several technological advantages to the healthcare industry: Better quality of drugs due to higher purity, lower investments for production plants (savings of 59% for separation), lower manufacturing costs due to better yields (no losses of valuable material in process) and higher security of manufacturing process due to lower volumes of flammable and toxic solvents. This accelerates pharmaceutical innovation and allows citizens to have access to drugs faster. SEPARATIVE SAS is a start-up hosted at IFPEN (IFP Energies Nouvelles, a major development centre for process industries, renowned worldwide and Nobel Prize for Chemistry in 2005). We are a team of 5 experienced and complementary experts and have access to a great network in chemical engineering as the IFPEN site hosts global leaders such as Total, Solvay, Bluestar and Arkema

Keywords: chromatography,separation,purification,columns
Systemic solutions for upscaling of urgent ecosystem restoration for forest related biodiversity and ecosystem services (SUPERB)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Italy,Spain,Austria,Germany,Spain,Spain,Spain,Belgium,Romania,Switzerland,Serbia,Belgium,Sweden,Croatia,Sweden,Serbia,Croatia,Finland,France,France,Czechia,Netherlands,Netherlands,Netherlands,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Denmark,United Kingdom
Call: Restoring biodiversity and ecosystem services (H2020-LC-GD-2020-3, 2020)
Start date: 2021-12-01
End date: 2025-11-30
Duration (months): 48.0
Total project cost (EUR): 20248122.32
EU funding (EUR): 19996256.25
Participants: 38
Project status: SIGNED

SUPERB pursues the overall goal to create a lasting enabling environment for transformative change towards large-scale forest and forest landscape restoration, which empowers decision makers to take just and informed decisions for restoration of biodiversity, ecosystem services and carbon sequestration in a manner that minimises region specific trade-offs and maximises synergies between ecosystem services. SUPERB develops and synthesises a multidisciplinary, practical, and scientific restoration knowledge basis and makes it publicly available. In 12 large-scale demonstrators across Europe, we will showcase best practices responding to key forest restoration and adaptation challenges on some hundreds of hectares per demo and with the potential for immediate upscaling to over one million hectares in 10-15 years. For large scale restoration to be successful, many actors from different sectors and disciplines must behave synergistically and in a mutually reinforcing way. We will speed up transformative change and further upscaling through innovative stakeholder involvement across scales to ensure the favorability and uptake of the proposed approaches. A comprehensive multi-language online Forest Ecosystem Restoration Gateway will guide stakeholders to find answers to their restoration questions, advise them on how to deal with barriers and enablers and provide access to easily applicable and comprehensible tools and materials that support restoration, e.g., best practices for forest restoration or the development of scalability plans, a tree species selection application, an innovative funding guide, and much more. The Gateway will also host a restoration Marketplace, where market agents, e.g. potential funders and landowners, can agree on bids for restoration projects. SUPERB will boost and measure its impact through its extensive and systematically enlarged stakeholder communities and networks, to ensure the relevance of the project outputs and their positive uptake.

Keywords: forest biodiversity,forest ecosystem services,forest resilience,knowledge transfer,stakeholder engagement,integrated forest management,close to nature forestry,biodiversity monitoring
Developing Cryogenic Energy Storage at Refrigerated Warehouses as an Interactive Hub to Integrate Renewable Energy in Industrial Food Refrigeration and to Enhance PowerGrid Sustainability (CryoHub)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Innovation actions
Countries involved: Spain,Bulgaria,Belgium,Belgium,Belgium,Belgium,Poland,Belgium,France,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Large scale energy storage (H2020-LCE-2015-3, 2015)
Start date: 2016-04-01
End date: 2021-03-31
Duration (months): 60.0
Total project cost (EUR): 8269770.99
EU funding (EUR): 7045594.38
Participants: 20
Project status: CLOSED

The CryoHub innovation project will investigate and extend the potential of large-scale Cryogenic Energy Storage (CES) and will apply the stored energy for both cooling and energy generation. By employing Renewable Energy Sources (RES) to liquefy and store cryogens, CryoHub will balance the power grid, while meeting the cooling demand of a refrigerated food warehouse and recovering the waste heat from its equipment and components. The intermittent supply is a major obstacle to the RES power market. In reality, RES are fickle forces, prone to over-producing when demand is low and failing to meet requirements when demand peaks. Europe is about to generate 20% of its required energy from RES by 2020, so that the proper RES integration poses continent-wide challenges. The Cryogenic Energy Storage (CES), and particularly the Liquid Air Energy Storage (LAES), is a promising technology enabling on-site storage of RES energy during periods of high generation and its use at peak grid demand. Thus, CES acts as Grid Energy Storage (GES), where cryogen is boiled to drive a turbine and to restore electricity to the grid. To date, CES applications have been rather limited by the poor round trip efficiency (ratio between energies spent for and retrieved from energy storage) due to unrecovered energy losses. The CryoHub project is therefore designed to maximise the CES efficiency by recovering energy from cooling and heating in a perfect RES-driven cycle of cryogen liquefaction, storage, distribution and efficient use. Refrigerated warehouses for chilled and frozen food commodities are large electricity consumers, possess powerful installed capacities for cooling and heating and waste substantial amounts of heat. Such facilities provide the ideal industrial environment to advance and demonstrate the LAES benefits. CryoHub will thus resolve most of the above-mentioned problems at one go, thereby paving the way for broader market prospects for CES-based technologies across Europe.

Keywords: liquid air,cryogenics,food refrigeration,food preservation,cold chain,refrigerated warehousing,renewable energy,low carbon technologies,power generation,sustainability
Privacy Matters (PriMa)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Spain,Norway,Belgium,Norway,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3826980.72
EU funding (EUR): 3826980.7199999997
Participants: 7
Project status: SIGNED

With the rapid increase in technological means for personal information capture and surveillance and the use of Artificial Intelligence, there is growing challenge to establishing and maintaining individual privacy. One important factor contributing to the erosion of privacy is the growth in biometric person recognition technologies. Another is the increasing possibility for extensive data mining, allowing for the aggregation, linkage and inference of personal information of individuals active on the internet. With the ubiquity of sensors (in mobile devices, CCTV cameras, etc.) and processing power, there is a real possibility that privacy may become an unattainable goal unless technological and societal steps are taken to allow the citizens to regain control of their personal information and activities. The ITN PriMa aims at training the next generation of researchers and technologists who have an all-round understanding of the multidisciplinary nature of the issues involved and who can contribute to the development of solutions that address this important societal challenge. PriMa will bring together Europe-wide complementary academic and industrial expertise to investigate these issues and provide a structure and environment to effectively facilitate training. The proposed ITN will cover the technological issues regarding privacy protection for biometric technologies as well as the related ethical, legal and psychological issues. The ITN will comprise academic and industrial partners, as well as an external advisory board. The academic partners from different European states will each run inter-related PhD programs requiring their ITN Early-Stage Researchers (ESR) to visit and work on their project at other partner universities, as well as at industrial partners, to develop a wider vision of the subject and their potential for contribution and collaboration.

Keywords: privacy protection,privacy leakage,biometrics