Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Gamesmondo Affiliation and Monetisation Ecosystem (Gamesmondo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Flexion Mobile is a leading Android games monetisation service provider whose unique enabling products let developers and publishers monetise games outside Google Play. The Gamesmondo project, currently in TRL 6, is a major part of Flexion’s long-term strategy to become the first choice for Android game distribution outside Google Play, capture at least 100 million Monthly Active Users (MAU) with a target revenue of 25-35m EUR. Gamesmondo targets the Android segment of the mobile games market - a market which as a whole is forecast to be worth $41 billion in 2017 and is forecast to surpass the console market in terms of revenues in 2015. Market growth will be driven by emerging mobile markets. Google Play is the dominant store on the Android ecosystem, but there are also hundreds of stores (3rd party, OEM and operator stores) as well as Android devices without Google services with strong user bases who should be valuable parts of the games ecosystem. Technical and commercial fragmentation combined with Google’s dominating position within games distribution and search means the ecosystem outside Google Play is struggling, while the space within Google Play is becoming increasingly monopolised. Gamesmondo uses enabling technology and commercial relationships to create an aggregated network of games, stores and users. This makes the world outside Google Play viable. Developers get access to stores otherwise unreachable. Stores get access to games otherwise unavailable. Users benefit from increased competition and choice. Flexion’s core enabling products create seamless enabling with market-specific monetization and ancillary features without requiring resource intensive work for developers or stores. The Gamesmondo ecosystem will define a new set of tools, rules and methods for both developers and end users, whilst building a versatile foundation for benefiting from a growing market and successfully shrinking inequality by Google Play.

Keywords: mobile games,affiliate,android,google play,games network,monetization
Centre of Excellence for Mathematical Modeling and Advanced Computing (MMAC)

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: Austria,Bulgaria
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: 3
Project status: CLOSED

The goal of the project is to present a long term vision for a new Centre of Excellence (CoE) for Mathematical Modeling and Advanced Computing in Science and Engineering and a business plan for its establishment. The founders of the center are the two leading scientific institutions in Bulgaria in the area of Mathematical Modeling and Advanced Computing – the Institute of Information and Communication Technologies (IICT) – coordinator, and the Institute of Mathematics and Informatics (IMI), both from the Bulgarian Academy of Sciences, jointly with the advanced partner Vienna University of Technology (TU Wien). The CoE will concentrate its activities in four carefully selected key areas with high potential for first-rate scientific achievements and innovations: (i) Mathematical Modeling; (ii) Advanced Computing; (iii) Content Technologies, Intelligent Interfaces and Knowledge Processing; (iv) Flagship Applications in Science and Engineering. They are primarily focused on scientific excellence and technology breakthroughs in priority directions aligned with the challenges of the Programme Horizon 2020 and the Bulgarian Innovation Strategy for Smart Specialization 2014-2020, especially the priorities "Informatics" and "ICT and Mechatronics and Green Technologies". The CoE will be supported by the e-infrastructure "National Centre for High Performance and Distributed Computing", which combines hardware, software, middleware, and services, coordinated by IICT. This infrastructure is a part of the Bulgarian National Road Map for Research Infrastructures. The CoE is aimed at developing new mathematical approaches and advanced computing tools for efficient solutions of problems with high scientific and social impact. The strong research and development potential and mutually complementary expertize of the two Bulgarian institutions, IICT and IMI, and the advanced teaming partner from TU Wien, fully meet the challenging requirements of the planned new truly joint center.

Keywords: mathematical modeling,advanced computing,content technologies,intelligent interfaces,knowledge processing,flagship applications,high performance computing infrastructure
SMART PLANT MANAGER FOR UTILITY SCALE PHOTOVOLTAIC PLANTS WITH STORAGE SYSTEMS (STORM)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-12-01
End date: 2017-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The development and penetration of renewable energies, especially solar photovoltaic (PV) in the EU, plus the expected growth in installed power, is demanding new features and capabilities to PV power plants. Nowadays there are more than 215 GW of installed PV power worldwide and with an estimation of being 400 GW in 2019, of which 121 GW of them will be in Europe. ÀLITER introduces in this proposal the STORM device: a SMART PLANT MANAGER FOR UTILITY SCALE PV PLANTS WITH STORAGE SYSTEMS. STORM, plus storage, gives a higher degree of flexibility and balance to the grid not only providing back-up power to the intermittence of the renewable sources but also complete ancillary services. All this factors combined together will easy the growth in penetration of PV and accelerate the decarbonisation of the electrical system, reducing the total CO2 emissions in more than 2.47 Gt yearly, the ancillary services represent about 8.95% of worldwide carbon emissions on electricity generation, improve the security and efficiency of electricity transmission and distribution by reducing unplanned loop flows, grid congestion, voltage and frequency instabilities, collaborating actively to market prices stabilization while also ensuring a higher level of security of supply and helping the transition to the zero carbon scenario. STORM is a system with: • Complete Ancillary Services. • Interoperability: Inverters and storage systems independent. • Predictability: based on weather forecast, short term production forecast to enable advanced smart storage strategies. • Clustering: capability to group some small/medium PV plants and manage them as a large one. • Internet of electricity: sharing grid information through a cloud server Objectives of STORM project are: • Growth revenues in 5 years an average of 100% per annum with 2.2M€ turnover and a cumulative turnover of more than 37 M€. • Creation of 18 new jobs. • Market expansion to EU, Chile, India, USA, China and Japan

Keywords: solar pv,storage,grid support,grid ancillary services,predictability,interoperability,clustering,low carbon energy,security of supply,internet of electricity
Maximising the technical and economic performance of real wave energy devices (INNOWAVE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Ireland,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EID) (H2020-MSCA-ITN-2015, 2015)
Start date: 2016-03-01
End date: 2020-02-29
Duration (months): 48.0
Total project cost (EUR): 804637.08
EU funding (EUR): 804637.08
Participants: 2
Project status: TERMINATED

This initiative proposes an innovative training environment for 3 ESRs in a supportive environment provided by an award-winning progressive wave energy company (Aquamarine Power Ltd) and a research centre at the forefront of innovation in wave energy device optimisation and control (the Centre for Ocean Energy Research at NUIM). The ESRs will be recruited by COER and will be seconded for 50% of their time to APL. There is a clear need for a training programme that integrates academic and industrial contributions. The proposed programme integrates formal and informal training activities with a rich set of industry-academic research projects, supported by significant secondment to the industrial partner and experience with real-world tank and ocean testing, wave-energy device deployment and implementation of new research results in state-of-the-art wave energy technology. The ESRs will be enrolled in a Structured PhD programme at NUIM, and will benefit from a series of structured training models. The training programme is complemented by a set of network-wide training activities. The research programme is composed of 3 closely-knit projects in the research area of wave energy and ocean energy, which allow the ESRs to have significant interaction, yet providing each ESR with an independent set of objectives and the opportunity to play a significant role in the rapidly developing area of wave energy conversion. With a clear global requirement to provide new energy sources, this programme aims to contribute to both the rapid commercialisation of a viable and economic wave energy technology, while also providing a pipeline of well-trained engineers with research, technical and commercial skills which are badly needed by this rapidly-expanding industrial sector.

Keywords: wave energy,optimisation,control,economics,oyster
Dynamic Care Solutions for clinical assessment of musculoskeletal and neurological disorders (Dycare)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Spain
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-06-01
End date: 2016-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of Bio-Sensing Solution is to bring to the market a new ICT solution that improves quality of life for people suffering from musculoskeletal disorders. DyCare is a system for joint motion monitoring that enables clinicians to diagnose and manage their patients’ rehabilitation programs, accurately and affordably. There are 100 million people in Europe that can benefit from the DyCare system. Most clinicians today measure joint movement using rudimentary tools that are unreliable. Due to this, 60% of patients with musculoskeletal disorders are misdiagnosed and are prescribed ineffective rehabilitation programs that delay returning to an active, working life. DyCare will fix this healthcare system failure by delivering: reliable insights in real-time, a user-friendly cloud platform that tracks patient progress and recovery, and a portable system that works with new wearables. Our solution is truly unique in the market. Other available systems are cumbersome, require skilled personnel to operate, and are prohibitively expensive for most health centres. DyCare is a lightweight system, which will be sold at an affordable price, and is simple for both clinicians and patients to assess evolution and recovery. It will reduce diagnosis and treatment time, saving millions of Euros in healthcare costs and billions of Euros in lost work days. With the collaboration of Bayer, we are defining a distribution and commercialization strategy that will ensure rapid expansion into key European markets, eventually extending to North America and beyond. In Phase 1, we will carry out a feasibility study in order to demonstrate a DyCare Alpha version to key stakeholders, improve the product based on real user needs, obtain certifications and devise an IP protection strategy, define our commercialisation strategy and create a detailed business plan.

Keywords: neurological disorders,musculoskeletal disorders,wearables,well being and ageing well,health
Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations (I4FUTURE)

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: Germany,India,Sweden,China,Finland,Finland,France,United Kingdom
Call: Marie Skłodowska-Curie Co-funding of regional, national and international programmes (COFUND-DP) (H2020-MSCA-COFUND-2015, 2015)
Start date: 2016-04-01
End date: 2021-09-30
Duration (months): 66.0
Total project cost (EUR): 4185600.0
EU funding (EUR): 2092800.0
Participants: 25
Project status: CLOSED

The I4Future Programme is a novel international, interdisciplinary and inter-sectoral doctoral programme hosted at the University of Oulu. The programme is based on full exploitation of the possibilities of modern imaging and characterisation methods in cross-disciplinary work. The unique training programme aims to respond to the increasing need for skilled next-generation ESRs in the changing and demanding European job markets in industry, the public sector and academia. I4Future brings together the complementary and supplementary expertise of world-class researchers in training ESRs with interdisciplinary visions in highly relevant socio-economic research areas and state-of-the-art techniques. I4Future combines five faculties and 17 research groups of UOULU, driven together with eight international universities and nine private companies from the paper, steel, mining and medical industries as well as appliances manufacturing and four multidisciplinary public sector organisations. The I4Future programme will provide 20 ESRs with a first-hand understanding of how research develops from basic science findings to interdisciplinary innovations and commercially valuable applications. The programme exploits local, national and international strengths of the network partners at multiple levels: excellence in research, local and European cutting-edge infrastructures, collaboration networks and secondments, and wide dissemination and outreach. I4Future builds upon a critical mass of interdisciplinary, inter-sectoral and international expertise and provides a unique combination of complementary methodological approaches for high-quality training that would not be possible to implement at any site or organisation alone.

Keywords: synchrotron radiation,novel imaging,characterisation,materials,industry
Role of intestinal fungal communities in arthritic pathology (FungArth)

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: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-01
End date: 2019-06-14
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

The human body is in constant interaction with a complex group of micro-organisms like bacteria, viruses and fungi which populate various body surfaces like our skin, lungs and gut. These organisms generally don’t pose a threat to the host but in contrary have many beneficial functions like stimulating the correct development of our immune system. Until now, research has mainly focused on bacteria, while fungi have largely been overlooked. Enteric fungi represent a significant part of the intestinal microbiota, but their role in human health and disease is poorly characterized. Spondyloarthritis (SpA) is a common immune pathology which causes severe spine and joint inflammation and the lab of Prof. Dirk Elewaut was the first to show a mechanistic link between spondyloarthritis and intestinal inflammation. Interestingly, anti-fungal immune reponses require Th17 (specific T lymphocytes) activation, an immune arm commonly hyperactivated in arthritic disease. We therefore hypothesize that abberrant antifungal immune responses may be contributing to arthritic pathology. Alternatively, homeostatic fungal-host interactions may be important for both mucosal and systemic immune homeostasis. With this research project, I propose to study in detail the contribution of naturally occurring intestinal fungi to health and SpA development in a multi- disciplinary manner, using elegant genetic mouse models of disease, state-of-the-art tools and technologies and clinical samples from SpA patients.

Keywords: fungi,gut inflammation,mycobiome,arthritis
A real-time and continuous brain monitoring system to record and track brain activity and extract biomarkers for neurological conditions (NS System)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2018-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Neurological disorders, ranging from epilepsy, autism, dementias, Alzheimer’s and Parkinson’s diseases affect 1B people worldwide. Currently, Europe has the greatest percentage of population aged 65 or over (25%) and these numbers are expected to drastically grow (3% per year) increasing the population affected by brain disorders. Many neurological disorders can be prevented and treated using brain monitoring systems that assume a crucial role in the diagnosis of these diseases. Current monitoring technologies include sub-hairline electroencephalography (EEG)-based systems, EEG caps with gel electrodes and imaging techniques such as functional Magnetic Resonance Imaging (fMRI). However, these solutions are not portable presenting uncomfortable and poor measurement accuracy (EEG cap), no real-time extraction of brain parameters and dynamics (sub-hairline EEG systems) and expensive solutions (imaging techniques). Neurosteer has developed NS System, a forehead-wearable real-time and continuous brain monitoring system with a dedicated software component that interprets brain signals producing biomarkers for level of anesthesia, cognitive load, epilepsy and disorders of consciousness. Doctors and caregivers have direct access to the recorded biomarkers through a customized cloud application and they can modify the therapy if needed, based on the recordings. NS system guarantees effective brain monitoring, real-time extraction of brain biomarkers and brain dynamics prediction with an extremely affordable price for the customers. During the feasibility assessment, a go-to-market strategy and a supply chain will be established, as well as further development plan will be drafted. During the second phase of innovation project, Neurosteer will optimize hardware and software components of the NS system to extract also predictive biomarkers of epileptic and sleeping activities. Clinical trials will then be initiated to obtain the CE mark as a medical device.

Keywords: real time brain sensing and control,brain dynamics assessment,neurological markers,anesthesia and cognitive load,epilepsy,wearable platform,monitoring software
Workflows for the Large-Scale Collection and Transference of Knowledge across Languages: Using Natural Language Processing to Produce High-Quality Contents with Language Learners (WIKOLLECT)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

WiKollect aims at creating a workflow for the large-scale transference of high-quality contents across languages. The workflow is divided in four cyclic steps. In step (i) an automatic model will identify contents available in a document in language A which are missing in a document, on the same topic, in language B. In step (ii) candidates to fill the gaps in the document in language B will be automatically generated. In step (iii) such candidates will be subject to manual evaluation by language learners. In step (iv) the contents identified as high-quality will be promoted to fill the gaps in the document in language B. WiKollect will take advantage of the barely-exploited synergy among natural language processing, language learning, and crowdsourcing. To address the different research challenges posed by the workflow design and implementation, it will create an innovative and re-usable hybrid intelligence architecture combining (a) artificial intelligence —such as machine learning and natural language processing— to identify contents worth transferring across languages and generate potential translations and (b) human intelligence —by means of implicit crowdsourcing— relying on a crowd of language learners to flag good contents. WiKollect will create different by-products in addition to the research products that will be generated by addressing each step in the four-step workflow. Language learning exercises on specific topics and complexity levels will be generated. The fair re-use of contents across languages will be promoted with the mass production of high-quality contents. During the MSC period, WiKollect will target the generation of Wiktionary contents in Italian and German. Still, the workflow is flexible and extendable and can be applied to other documents (e.g., Wikipedia articles, news) and languages in the near future.