Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Unlocking unstructured data towards intelligent wotk automation for the banking industry (SimplyData)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Competition in the banking industry has intensified enormously in recent years, a trend that can be observed particularly in the fragmented European banking market. Over the last several years, financial institutions have utilized Business Process Management / Robotic Process Automation solutions to improve workflow and standardize processes. Intelligent machines are driving technology development across all financial institutions. These solutions provide robust benefits when applied to disparate systems and databases but do not yet exploit the value trapped in UNSTRUCTURED DATA. True straight-through processing remains an elusive goal as much work still remains outside the BPM/RPA’s reach. The ability to transform unstructured data into structured data will have a hugely positive bottom line impact. Fundamentia is a research-led artificial intelligence company. Our solution, SimplÿData is built on top of our AI core: SimplÿData automatically identify any type of document and classify it accordingly to the taxonomy agreed with the client. Our success ratios in document identification and classification exceed 99%. Then, SimplÿData extracts relevant data from any type of document. Our data extraction success ratios exceed 95%. SimplÿData collaborates with our clients and their integrators, complementing the capabilities of the RPAs (Robotic Process Automation), facilitating End-to-End process automation Fundamentia is therefore bridging the gap between unstructured data and RPAs. We have piloted our technology with some of the most respected banking names such as Banco Santander achieved accuracy rates >95%, drastically reducing total operational times towards improving the operational efficiency of banks.

Keywords: natural language processing nlp,deep learning,legal papers,unstructured dataflows,work automation,banking,mortgages
Lasercom-on-chip for next generation, high-speed satellite constelation interconnectivity (ORIONAS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling advances in space technology
Action type: Research and Innovation actions
Countries involved: Italy,Germany,Switzerland,Greece,France,France,United Kingdom,United Kingdom,Portugal
Call: Satellite communication technologies (H2020-SPACE-2018, 2018)
Start date: 2018-11-01
End date: 2022-04-30
Duration (months): 42.0
Total project cost (EUR): 2985290.0
EU funding (EUR): 2985290.0
Participants: 9
Project status: CLOSED

The satellite market experiences a paradigm shift with the rise of satellite constellations that are changing the satellite volume launched from now on. Under increasing capacity requirements, primes admit that lasercom is required to connect their constellations at high speeds not possible with RF equipment. This is shaping a unique opportunity for the penetration of optical inter-satellite links (OISLs) into a market that will only grow. The deal for OISLs is clear; low cost, size, weight and power consumption (C-SWAP), but the current tools and methods used to make OISL systems are fundamentally incompatible with this requirement and the jump to satellite lasercom is a jump to higher complexity. ORIONAS aims to provide the technology that will disrupt the way lasercom systems are designed, built and tested and hit the right C-SWAP targets. ORIONAS invests in monolithic integration within European BICMOS and InP foundries for cost-effective access to high performance technologies. Using its photonics BICMOS integration platform, ORIONAS will squeeze lasercom transceivers into a few mm^2 demonstrating modulator/driver electronic-photonic IC (ePIC) being >2 orders of magnitude smaller than state-of-the-art space (SOTA) qualified modulators and receiver ePICs being 3 orders of magnitude smaller than conventional free space optics receivers used in current lasercom modems. ORIONAS will develop a Hi-rel packaging technology to deliver all-laser weldable, hermetic transceivers that will be 20 times faster and 16x times smaller than current SOTA lasercom systems and with power dissipation in the order of a few pJ/bit. Using InP integration ORIONAS will fabricate SOAs being 2 orders of magnitude smaller than current space qualified high power fiber amplifiers and >10x times more powerful than current commercial SOAs. ORIONAS will system integrate the ePIC and SOA modules into its lasercom mini-modem platform and will test it within the test facilities of the end user.

Keywords: optical inter satellite links,silicon photonics,semiconductor optical amplifiers,laser communication modem,satellite constellation interconnectivity
Dux4-Regulated Expression and Activity by an inhibitor Molecule (DREAM)

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: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-03-01
End date: 2023-02-28
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

Facioscapulohumeral muscular dystrophy (FSHD) is the most prevalent muscle disease that indiscriminately afflicts children and adults of all ages and both sexes. Despite several clinical trials, there continues to be no cure or therapeutic option available to FSHD patients. FSHD is caused by aberrant myogenic expression of the transcription factor double homeobox 4 (DUX4). In healthy subjects, DUX4 expression is restricted to stem cells and early stages of embryogenesis while being silenced in most tissues of the body. In FSHD, DUX4 mis-expression activates a pro-apoptotic transcriptional program leading to muscle wasting. Compelling data obtained in our laboratory identified a novel regulator of DUX4 that allows us to examine the potential of inhibiting the cytotoxic activity of DUX4 as a therapeutic strategy to treat FSHD, and represents the innovation of this proposal. The goal of the proposal is to fully elucidate the molecular mechanisms that regulate DUX4 in order to develop novel therapeutic approaches for blocking the aberrant activity of DUX4 in FSHD. Based on our preliminary data, I hypothesize that by inhibiting DUX4 we can prevent transcriptional activation of genes toxic to muscle cells. As a corollary, we propose that a drug-like molecule interfering with the DUX4 pathway could be used to prevent the toxic effects of DUX4 expression in muscle cells from FSHD patients. This work is significant as it will clarify the molecular pathogenesis of the disease and bring us closer to a rational treatment to block muscle degeneration in FSHD.

Keywords: facioscapulohumeral dystrophy,fshd,dux4,matr3,muscular dystrophy,human muscle
Understanding the Gene Regulatory Network involved inner ear Hair Cell differentiation (GRNHairCell)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-03-01
End date: 2018-02-28
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

What is the molecular basis for transcription factor (TF) specificity in different developmental contexts? This question is central to our understanding of development, and key to the development of effective regenerative therapies. My model system is the inner ear hair cell (HC), essential to hearing and balance. Very little is known about the genetic networks regulating HC development. To gain new insights, I developed during my PhD a new transcriptional programming strategy to promote in vitro HC differentiation, starting from pluripotent stem cells. In vivo Atoh1 is the only TF known to be necessary and sufficient for HC differentiation, but in vitro its overexpression induces neuronal rather than HC differentiation., I discovered that Atoh1 expression combined with two other TFs (Pou4f3, Gfi1) resulted in efficient HC generation. This work offers a new paradigm to understand the molecular mechanisms governing TF specificity in an important biomedical context. For example, how do Pou4f3/Gfi1 modulate Atoh1 activity to orchestrate a HC differentiation program? To address this question, I will exploit multiple approaches, such as genome-wide studies (RNA-seq and ChIP-Seq), bioinformatics analysis, in vitro stem cell differentiation systems and in vivo mouse models. The knowledge gained will help us to discover the causes behind the lack of HC regeneration in mammals, will inform therapeutic strategies to protect or replace HCs, and will uncover general principles by which the same TF can direct distinct cell fates.

Keywords: inner ear hair cells,transcriptional programming,gene regulatory networks,in vitro cell differentiation,transcription factors,atoh1,pou4f3 and gfi1
Crowdsourcing Urban Sustainability Governance. Exploring innovative governance models for addressing urban sustainability through ICT-people interaction (CROWD_USG)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 172800.0
EU funding (EUR): 172800.0
Participants: 1
Project status: CLOSED

The project explores the potential of crowdsourcing (an online, distributed problem-solving process for creative solutions development) to advance innovative urban sustainability governance (USG) models. It is intended to investigate whether and how crowdsourcing can be appropriate for: - dealing with the mutable, multi-scalar and complex character of urban sustainability (including environmental protection and democracy provisions); - activating real participatory processes in knowledge production and decision-making; - empowering technological agency of heterogeneous actor-networks for narrowing the gap between research results and policy applications. Research hypothesis are tested against evidences collected through investigation on the city of Ghent (Belgium), whose commitment for achieving urban sustainability goals through people’s participation, technological development and public-private partnerships makes it a forefront example in the European panorama. Actor-Network Theory framework and Scenario Building analysis are adopted for modelling current material-semiotic fluxes in USG; and for prefiguring future social, political and economic development determined by the introduction of crowdsourcing processes. Scientific results will include: - the assessment of the most appropriate crowdsourcing processes for citizens, administrations and business to collaboratively produce an innovative USG model; - the provision of policy-suggestions for the implementation of crowdsourcing-based participatory processes for USG in the context of European cities. Scientific and logistic support for the research will be provided by the Centre for Sustainable Development at Ghent University, whose leading experience on sustainable cities, transition governance, scenarios-building and future studies will provide applicant with the necessary expertise and assistance for establishing a European academic career in science, technology and society studies.

Keywords: crowdsourcing,urban sustainability,governance,people led innovation,technological agency,participatory processes,actor network theory,scenario building
The platform for helping the rural development and its sustainability through the angling tourism (Clic And Fish)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The platform for helping the rural development and its sustainability through the angling tourism. A data-driven platform that helps anglers to get more information about their current fishing opportunities and support decision-making thanks to: 1) Precise geographical localization of the stretch with updated and accurate legal information (limits, size, days, permits); and valuable stretch´s points of interest (gateway to the stretch, parking’s, bridges, restaurants, hotspots, etc.). 2) Real Time information about the environmental and hydrological conditions, through our IoT Smart Buoys and Open Data. 3) A stretch´s 360º view of the water through Augmented Reality (stretch´s Google StreetView). 4) Meet and share experiences with other anglers through our social network, enhanced with gamification. 5) Get personalized recommendations based on big data and machine learning (feeding it with legal, environmental and user´s data). 6) A personal logbook and 7) Championship manager service.

Keywords: augmented reality,big data,internet of things,machine learning and gamification
New Water Softener System for vending machines, minimizing hardness without altering natural water pH nor minerals (LIMONA)

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: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Water supply is generally defined as “hard”, as it presents a high mineral content, mostly Calcium and Magnesium, leached in the water from minerals in the aquifers. Although proper for human consumption, hard water is inadequate for use in equipment handling water due to its tendency to form limescale. This is particularly relevant for the vending machines, where hard water is responsible for up to 70% of equipment failure. Water softeners, devices installed for the treatment and conversion of hard water into soft water, are therefore required, not only to prevent limescale build-up and corrosion, but also to ensure a premium quality of water when it is used in cold and hot beverages. The traditional softening methods used for removing water hardness, i.e. ion-exchange and reverse osmosis, present however severe limitations: they are costly, use toxic chemicals, generate significant water waste and alter water pH and mineralization. For the 3.8 million vending machines present in Europe, this translates into 3million m3 of water lost and 8,000 tonnes of GHG emitted yearly! To address this problem, our company W.F., expert in water treatment, is offering LIMONA, a new disruptive technology for vending machine able to remove and avoid scale formation while keeping water natural characteristics and pH for an optimum water taste. LIMONA does this in a cost-effective (-45%), eco-friendly (-90% footprint, 0 water waste, 0 chemicals), compact (500g) and durable (up to 3 years of operational lifetime) manner. Expected to be launched in 2021 in the lucrative 65 billion€ global vending market (where Europe represents 23%), LIMONA will allow our company to grow sustainably, capturing accumulated profits worth 5.9 M€, a ROI ≥ 1.8 and creating +7 new jobs all within 5 years.

Keywords: vending machine,water softening,filter,limescale,water quality,beverage taste,water mineralization,water waste,reverse osmosis,ion exchange,calcium bicarbonate
Collaboration In Training and Innovation for Growing, Evolving and Networked Societies (CITI-GENS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: United Kingdom
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2019, 2019)
Start date: 2020-04-01
End date: 2025-03-31
Duration (months): 60.0
Total project cost (EUR): 3254400.0
EU funding (EUR): 1627200.0
Participants: 1
Project status: SIGNED

The Collaboration in Training and Innovation for Growing, Evolving and Networked Societies (CITI-GENS) Doctoral Programme at Queen’s University Belfast (QUB) will recruit and train 20 outstanding international researchers over a 60-month period. During this time, they will be transformed into a professional and skilled cohort addressing global challenges aligned to the themes of the Belfast Region City Deal innovation ecosystem: Information Technology, Advanced Manufacturing, Life Sciences and the Creative Industries. In seeking to address societal challenges in new ways and with new technologies, the CITI-GENS ESRs will engage with methodologies at the forefront of current practice in innovation, notably design thinking. Adopting the 3i approach, ESRs chosen for CITI-GENS will combine their advanced disciplinary excellence with capacity for genuinely interdisciplinary, intersectoral and international quality research involving the capacities of QUB and 25 non-HEI partners. The CITI-GENS programme has been developed on the basis that future societal challenges will emerge across rather than within economic and social sectors, requiring new technologies that are emerging or not yet developed, and which outpace developments in social structures and conventions. This is the key value of CITI-GENS: it demands that successful applicants are characterised by openness to innovation, pioneer thinking and creativity. These qualities will be nourished by means of a personalised training package for each ESR and through a range of cohort leadership and development opportunities within our award-winning Graduate School. CITI-GENS research findings will be disseminated and communicated to different stakeholders though a wide variety of channels. The proposed CITI-GENS DP will be managed through a bespoke coordination and oversight system in a University with an established reputation for its cross-disciplinary doctoral training and knowledge transfer activities.

Keywords: collaboration,innovation,growing,evolving,networks,information technology,advanced manufacturing,life sciences,creative industries
Compact X-Ray Fluorescence probe for uniquely flexible, efficient and accurate underground material analysis (IBERIA XRF)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-03-01
End date: 2022-02-28
Duration (months): 24.0
Total project cost (EUR): 1316466.25
EU funding (EUR): 921526.38
Participants: 1
Project status: CLOSED

J&C Bachmann is specialized in the design and development of industrial measurement and control equipment for the mining industry. We develop physical and image based analysis and measuring methods for the determination of material properties, quality assurance and process automation. With an experienced team of physicists and engineers, we provide highly specialized and high added value measuring and control products and services. In the mining industry and for any other environmental and geologic research applications, exploration and mining investigations are frequently accompanied by large scale drilling and blasting. Traditional methods of elemental analysis of samples in laboratories or through complex on-site equipment are both time consuming and extremely expensive, while also involving significant environmental damage. Over €10 billion are spent every year on prospecting and exploration tasks worldwide. For a particular site, this process typically takes over a decade and costs a minimum of €15 million. Over the last years of R&D, we have conceived a miniaturized probe that uses X-Ray Fluorescence analysis to measure with outstanding accuracy the ground’s mineral composition along small, low-impact boreholes. Without any radioactive sources, the compact probe directly collects precise and real-time elemental analysis information directly inside the borehole. Our probe will help improve the efficiency of the prospecting and exploration stages, by reducing its cost and duration by over 80%. At a fraction of the cost of larger, bulkier radioactive neutron-based systems, IBERIA XRF will also provide us with a key market advantage, allowing us to commercialize an estimated 300 units by 2026 and generate over €20 million in revenues. It will also provide us increased visibility and allow us to consolidate our brand as a reference in mining equipment market, leading to the creation of over 50 high grade jobs in the EU.

Keywords: mining,exploration,prospecting,x ray fluorescence
Functional Proton-Electron Transfer Elements in Biological Energy Conversion (bioPCET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany,Sweden
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-02-01
End date: 2023-01-31
Duration (months): 72.0
Total project cost (EUR): 1494368.0
EU funding (EUR): 1153863.1
Participants: 2
Project status: CLOSED

Primary energy conversion in nature is powered by highly efficient enzymes that capture chemical or light energy and transduce it into other energy forms. These processes are catalyzed by coupled transfers of protons and electrons (PCET), but their fundamental mechanistic principles are not well understood. In order to obtain a molecular-level understanding of the functional elements powering biological energy conversion processes, we will study the catalytic machinery of one of the largest and most intricate enzymes in mitochondria and bacteria, the respiratory complex I. This gigantic redox-driven proton-pump functions as the entry point for electrons into aerobic respiratory chains, and it employs the energy released from a chemical reduction process to transport protons up to 200 Å away from its active site. Its molecular structure from bacteria and eukaryotes was recently resolved, but the origin of this remarkable action-at-a-distance effect still remains unclear. We employ and develop multi-scale quantum and classical molecular simulation techniques in combination with de novo-protein design methodology to identify and isolate the functional elements that catalyze the long-range PCET reactions in complex I. To fully understand the natural PCET-elements, we will further engineer central parts of this machinery into artificial protein frameworks, with the goal of designing modules for redox-driven proton pumps from first principles. The project aims to establish a fundamental understanding of nature's toolbox of catalytic elements, to elucidate how the complex biochemical environment contributes to the catalytic effects, and to provide blueprints that can guide the design of man-made enzymes for sustainable energy technology.