Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Benefits at rail, top down holistic approach of impact and benefits to make rail attractive for stakeholders (Ben[at]rail)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Research and Innovation actions
Partnership: Shift2Rail (Art-187)
Countries involved: Germany,Germany,Sweden
Call: R&I impact and benefits to make rail attractive for stakeholders (H2020-S2RJU-2021, 2020)
Start date: 2021-10-01
End date: 2022-06-30
Duration (months): 9.0
Total project cost (EUR): 169985.0
EU funding (EUR): 169985.0
Participants: 3
Project status: CLOSED

For the future Europe’s Rail Joint Undertaking to be successful, the innovations stemming from its Master Plan must adhere to the needs of railway stakeholders and final users. Ben@Rail contributes to the success of the new Undertaking by applying a scientifically proven methodology to quantify the efficacy of EU-funded R&I activities. To reach this objective, Ben@Rail will provide evidence-based research to assess the extent to which the foreseen innovations of Shift2Rail and its successor respond to clear societal cases and stakeholders’ and users’ expectations. To achieve this, Ben@Rail, in close cooperation with the European Rail Research Advisory Council (ERRAC), will develop a top-down analysis grounded on two elements. On the one side, the requirements of the rail sector stakeholders vis a vis EU-funded research are identified. On the other side, the sector’s strategic documents are reviewed and analysed in light of the stakeholders’ expected benefits and the wider societal challenges to extract objectives, key technical concepts and development areas that will affect and shape the Railway System of the future. The resulting analysis will assess the adherence of EU-funded R&I activities to the stakeholders’ requirements, thus evaluating the expected outcomes of the future new Joint Undertaking Master Plan. Ben@Rail will develop a scientific, innovative framework for the evaluation of EU-funded projects based on the stakeholders’ requirements. One of the strengths of this framework relies on its possible application in other sectors to comprehensively investigate future funding R&I programmes. Ben@Rail will benefit from a consortium composed of three renowned scientific centres in the field of rail research, committed to the mentioned actions and towards the maximisation of the project’s impacts by communicating and promoting its outcomes to the scientific community, rail stakeholders and policymakers.

Keywords: rail stakeholders,benefits,requirements,railway stakeholders
Centre for functional and surface-functionalized glasses (FunGLASS)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Framework Partnership Agreement
Countries involved: Germany,Germany,Italy,Spain,Slovakia
Call: Teaming (H2020-WIDESPREAD-2014-1, 2014)
Start date: 2015-04-29
End date: 2020-04-28
Duration (months): 60.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 5
Project status: CLOSED

The scope of the project is the upgrade of existing Centre of excellence for ceramics, glass, and cement, to an internationally recognized Centre for functional and surface-functionalized glasses. The new Centre will be specialized to cutting edge research in the area of glasses with special functional properties (luminescence, electric), and to functionalization of conventional glasses with the aim of modification of their properties, and adding new functionalities. These would comprise reflection, and anti-reflection coatings for solar energy production and optoelectronic applications, increase of glass strength, enhancing the corrosion and leaching resistance of commercially produced glasses, self cleaning/antibacterial coatings of glasses for medical applications, including modification/enhancement of bioactivity. The research topics would include also utilization of waste materials for production of glasses and glass-ceramic materials with high added value. The project will be aimed at establishment of the Centre as a joint venture of all participating institutions, creation and formalizing the coordination and management structures, upgrading the research infrastructure, expansion of personal capacity of the existing center to the level facilitating achievement of the critical mass for R&D activities, with special attention paid to hiring high quality researchers and engineers from abroad, in order to create creative international environment, and formation of close ties with regional and European glass industries for efficient knowledge transfer.

Keywords: centre of excellence,functional glasses,surface functionalization
Hybrid, organic-inorganic chalcogenide optoelectronics (MIX2FIX)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Greece,Greece
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-11-01
End date: 2024-10-31
Duration (months): 60.0
Total project cost (EUR): 2731250.0
EU funding (EUR): 2731250.0
Participants: 2
Project status: SIGNED

The new generation of optoelectronics seeks for emerging semiconductors which combine high performance with low cost. Lead halide organic-inorganic perovskites manifest as excellent optoelectronic materials for this purpose, but at the expense of robustness and environmental compatibility. This presents a major challenge which this research addresses directly. Viable alternatives have to be identified. To tackle this challenge, MIX2FIX proposes to develop a new class of solution-processable optoelectronic devices based on air-stable, non-toxic metal chalcogenides endowed with an organic part, which will facilitate solution-processing and potentially enrich the compounds with the spectacular properties of halide perovskites. To achieve this, the CoG project has set the following objectives: (i) designing and developing optoelectronically-active, organic-inorganic chalcogenide thin films that have never been explored before, by mimicking strategies from established perovskite technology, (ii) devising means to improve their optoelectronic quality so as to be comparable with the best single-crystal semiconductors and (iii) implementing optimized materials into boundary-pushing PV and LED devices. Addressing these objectives will enable the development of novel functional hybrids at the boundaries of perovskite and chalcogenide thin films. With this, optoelectronics with efficiency and stability, comparable or higher than those of lead halide perovskite or chalcopyrite devices, will be demonstrated. This project will therefore permit the transition for emerging optoelectronic materials from toxic lead halide perovskites to green hybrid chalcogenides. Consolidating this unproven but disruptive technology will secure sustainable future for other areas of interest beyond photovoltaics, displays and lighting such as in X-Rays detectors and phototransistors or even beyond optoelectronics, in systems such as batteries and supercapacitors.

Keywords: chalcogenides,photovoltaics,optoelectronics,hybrid,perovskites,lead free
Towards an instrument-free future of molecular diagnostics at the point-of-care (FreeATPOC)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Italy,Greece,France,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2020-01-01
End date: 2023-12-31
Duration (months): 48.0
Total project cost (EUR): 3052500.0
EU funding (EUR): 3052500.0
Participants: 5
Project status: SIGNED

Molecular diagnostics is still primarily a lab-based method. Emerging technologies for application at the point of care (POC) or need, i.e., where a patient or a sample is, have started gaining a big part of the molecular diagnostics market. Interestingly, available methods are divided in two groups: sophisticated instruments for ultra-sensitive temperature-regulated enzymatic amplification of nucleic acids and extremely simple paper-based immuno-diagnostic kits. Complexity, the main disadvantage of the former, results in their poor translation to several applications at the POC. Simplicity, often accompanied by failures, of the latter is the reason for their slow adoption even in resource limited areas. Our vision is an instrument-free approach that combines the advantages of both groups, i.e., a method that does not use heaters or modules that require electricity, infrastructure and maintenance, but, still, takes advantage of enzymatically-amplified nucleic acids detection. To achieve the above, novel diagnostic tools for genetic amplification based on ligases, polymerases and restriction enzymes operating at ambient temperature will be developed, combined with quantitative smartphone colorimetric/UV detection. The global applicability of the new approach will be demonstrated during infectious disease (Influenza and HIV) testing in human samples (blood and swabs) and plant pathogens (Xylella fastidiosa) in plant-tissues. In all cases, we aim for a time-to-result of less than 60 min, demonstrated sensitivities down to the clinically/field relevant values and a final cost in the order of $1 per assay. Combination of Free@POC concept with newly developed predictive models will expand its utility to monitoring disease outbreaks and their spreading. This new generation of instrument-free molecular diagnostics is expected to revolutionize nucleic acid analysis at the POC but also in applications beyond resulting in substantial societal as well as economic benefits.

Keywords: molecular diagnostics,point of care,nucleic acid detection,enzymatic amplification,hiv and influenza testing,xyllela f,machine learning,predictive modelling,smartphone detection,image analysis
CONQUERING SCIENCE ENTHUSIASTS (SCIENCE CASTLE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Portugal
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020bis, 2020)
Start date: 2021-05-01
End date: 2021-12-31
Duration (months): 8.0
Total project cost (EUR): 74752.5
EU funding (EUR): 74752.5
Participants: 1
Project status: CLOSED

The ERN event is organised in a physical space - a castle where different areas ensure multiple discovery paths to the visitors. The visitors (grouped in one of four categories: families, schools, citizens and researchers) start their journey in the main gate (reception area) where they receive a conquer map which allows them to start their participatory journey through the science castle. From this starting point, visitors can use a map (programme) with suggested tours adjusted to their profile (category) or they can choose their own paths. The journeys (whether recommended or personalised by the visitors) are built on the castle map. Each area represents a research and innovation priority defined in Horizon Europe and has supporters and key-players of that research and innovation area.

Keywords: science,citizens,research,innovation,night,edutainment
Multimedia Authoring and Management using your Eyes and Mind (MAMEM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Germany,Italy,Greece,Greece,Netherlands
Call: Multimodal and Natural computer interaction (H2020-ICT-2014-1, 2014)
Start date: 2015-05-01
End date: 2018-07-31
Duration (months): 39.0
Total project cost (EUR): 2704375.0
EU funding (EUR): 2704375.0
Participants: 8
Project status: CLOSED

Loss of the voluntary muscular control while preserving cognitive functions is a common symptom of neuromuscular disorders leading to a variety of functional deficits, including the ability to operate software tools that require the use of conventional interfaces like mouse, key-board, or touch-screens. As a result, the affected individuals are marginalized and unable to keep up with the rest of the society in a digitized world. MAMEM's goal is to integrate these people back into society by increasing their potential for communication and exchange in leisure (e.g. social networks) and non-leisure context (e.g. workplace). In this direction, MAMEM delivers the technology to enable interface channels that can be controlled through eye-movements and mental commands. This is accomplished by extending the core API of current operating systems with advanced function calls, appropriate for accessing the signals captured by an eye-tracker, an EEG-recorder and bio-measurement sensors. Then, pattern recognition and tracking algorithms are employed to jointly translate these signals into meaningful control and enable a set of novel paradigms for multimodal interaction. These paradigms will allow for low- (e.g., move a mouse), meso- (e.g., tick a box) and high-level (e.g., select n-out-of-m items) control of interface applications through eyes and mind. A set of persuasive design principles together with profiles modeling the users (dis-)abilities will be also employed for designing adapted interfaces for disabled. MAMEM will engage three different cohorts of disabled (i.e. Parkinson's disease, muscular disorders, and tetraplegia) that will be asked to test a set of prototype applications dealing with multimedia authoring and management. MAMEM's final objective is to assess the impact of this technology in making these people more socially integrated by, for instance, becoming more active in sharing content through social networks and communicating with their friends and family

Keywords: disabled,eye tracking,electroencephalography,bio measurements,multimedia,social integration,user modeling,persuasive design,pilot trials
FAst and energy efficient Learned image and video CompresiON (FALCON)

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: Finland
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): 190680.96
EU funding (EUR): 190680.96
Participants: 1
Project status: SIGNED

The emerging Learned Compression (LC) methods show great potential to revolutionize image/video compression, and major media industries are investing heavily in this field. However, the high computational complexity of these methods makes it difficult to employ them in consumer devices, and this obstacle discourages using them in future compression standards, such as JPEG and MPEG, despite their superior performance compared to traditional methods. This project will investigate a novel framework for developing fast and energy-efficient Deep Learning-based compression. We will develop methods that (1) greatly improve the compression efficiency of LC, and (2) significantly reduce its computational complexity and energy consumption. Given the huge share of video industry in global Greenhouse gas emission, this will be a big step towards important EU policies such as the Paris agreement and the EU Green Deal. The objectives of the project are achieved via: (i) splitting the coding into smaller tasks, (ii) investigating efficient learning methods (including Operational Neural Networks, an invention of the supervisor of the project), and (iii) integrating human perception into image/video coding. The experienced researcher holds a PhD in computer engineering, during which he worked on accelerating the encoding process of compression standards. He has a background and skill-set in hardware engineering, signal processing, media technology, and machine learning, which is necessary for this interdisciplinary project. The project will be carried out under the supervision of an internationally famous scientist who has extensive experience in both machine learning and video compression. The host institution in Finland has a long experience in EU funding and collaborations with industries. The results and findings will be published in top international journals and conferences. Moreover, some findings will be considered for possible exploitation in future MPEG/JPEG standards.

Keywords: video compression,learned compression,deep learning,energy efficient computing
Serces to enhance the innovation management capacity of SMEs in the macro-region 1 in Romania (InnoCap Transylvania)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Romania,Romania,Romania,Romania,Romania
Call: H2020 2D CONSULTATION EEN (H2020-EEN-SGA2-2017-2018, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 58350.0
EU funding (EUR): 58350.0
Participants: 7
Project status: CLOSED

Services to enhance the innovation management capacity of SMEs in the macro-region 1 in Romania The objectives of this proposal are the the following: - increase the efficiency and effectiveness of innovation processes of local beneficiaries of SME Instrument and innovative SMEs with significant innovation activities and high potential for internationalization; - facilitate SME's access to consultancy services for innovation management to address bottlenecks to creating an economic impact; - support innovative SME''s to raise the company's profitability and competitiveness on international markets.

Keywords: increase the efficiency and effectiveness of innovation process of local beneficiaries
Commercializing soft wearable systems from a stretchable electronic material (SoWe)

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: Switzerland
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-03-01
End date: 2018-08-31
Duration (months): 18.0
Total project cost (EUR): 149921.0
EU funding (EUR): 149921.0
Participants: 1
Project status: CLOSED

SoWe represents a unique opportunity for the commercialisation of a unique stretchable electronic system that enables the design and manufacturing of large-area, high performance electronic skins. Prof. Lacour and her team, as part of the ERC project ESKIN, build upon a breakthrough innovation - an intrinsically stretchable metallization compatible with standard circuit fabrication and components assembly. These stretchable circuit boards will unlock the form-factor of existing planar and rigid circuitry and contribute to materialize the "Internet of Things”. SoWe may be integrated and mounted on the human body, robotic surfaces or passive objects. Our technology enables active surfaces to conform to and improve the perceptive sense of objects, and facilitate network connectivity. Similar to human skin, SoWe will encode sensory information such as contact, applied pressure or movement and transmit the information. Our innovation provides an enormous untapped potential and can transform human - machine interactions. No alternative technology combining design simplicity with high electromechanical performance is available today on the market. In SoWe we aim to 1) establish proof of concept of a new class of stretchable electronic skin, enabled by biphasic solid-liquid thin metallic conductors at industrial scale and to 2) show the potential commercialization purposes. Our stretchable metallization is unique and can be batch fabricated on a wafer scale. To date, all manufacturing processes have been optimized at lab scale. Moreover, we will show the commercialization purpose by defining the exact business strategy, model and positioning – and partnering with key enablers (business-related and/or technological) for commercial success. During this project, we will gain technical and commercial proof of concept, which will provide us with the necessary information regarding potential commercialization routes.

Keywords: mechanical sensors,elastomer,skin,thin film devices
The first global peer-to-peer platform for government, to help public servants find the ideas, experts and partners they need to solve today’s hardest challenges (APOLITICAL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-04-01
End date: 2022-09-30
Duration (months): 30.0
Total project cost (EUR): 1904541.25
EU funding (EUR): 1333178.0
Participants: 1
Project status: CLOSED

OECD countries spend around 40% of GDP on government, i.e. $30 trillion globally; $6 trillion in the EU. Yet the policies that govern the allocation of these vast sums are often made haphazardly, without looking around the world to see what’s worked and what’s failed – at great cost to society. Apolitical Group Limited was founded in 2015 in London, UK, by two experienced entrepreneurs: Lisa Witter and Robyn Scott. The company now has 22 employees, with a subsidiary in Belin. We have developed a web-based platform called Apolitical (TRL7) which went online in June 2017. It is the first of its kind global policy insights peer-to-peer platform which addresses the $8 trillion global public-sector procurement market. It has reached more than 30 million people with its policy content; and its private network is used by more than 16,000 policymakers in more than 140 countries. Through the SME Instrument Phase 2 project will upscale the TRL7 platform into a fully featured version which, along with other new features, includes a subscription-based community and marketplace serving governments, policymakers and business. We will target the public sector market in OECD countries comprising 8M civil servants, including 3M potential users for our subscription product. Our main private sector target market is GovTech SMEs, i.e. those with tech-enabled products selling to government. Our project team, led by our CEO Ms. Robyn Scott, has a strong track record in project management, marketing, finance, fundraising, leadership, and technology.

Keywords: machine learning,peer to peer learning platform,public sector,public servants,governments,govtech,civictech,smes,policy and procurement innovation,societal trust building,global,governance