Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The easiest way to build complete, correct and consistent embedded software for cyberphysical systems (Dezyne Enterprise)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-11-01
End date: 2020-02-29
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

In the "fourth industrial revolution" (Industry 4.0) our society is already immersed, cyberphysical systems (CPS) are key to improve our way of life. CPS rely heavily on software innovation, so mastering the ability to innovate quickly in SW is crucial. Nevertheless, creating a complete, correct and consistent SW system is not trivial. During different stages of development, multiple defects can accumulate due to specification, design, or coding errors. Therefore, it is essential to undergo a testing phase to ensure that defects are remedied before the SW reaches the market. These defects can lead to massive economic losses for companies or, more importantly, putting people's lives at risk. Verum Software Tools BV is an independent company founded in 2014, aiming to revolutionize embedded software industry by introducing DEZYNE Enterprise with the purpose to be leaders within the Industry 4.0. DEZYNE is the definitive solution to develop complete, correct and consistent SW systems. DEZYNE is a SW development toolset that strengthens existing software engineering practices by enabling SW engineers to produce robust, reliable and resilient results through the application of validation and formal verification technologies. DEZYNE makes it possible to increase productivity by up to 300%, thanks to the automation of validation and verification of SW system models; to reduce field defects by up to 99.99%, thanks to advanced mathematical analysis for SW verification; and to reduce marketing time by more than 20%, speeding up and shortening the entire development process. This is achieved by focusing on detecting and repairing defects in a SW system during the specification and design phases, so that total costs, time and field defects are severely minimised. We estimate that this project will bring cumulative profits of €13.56 million by 2024 and the generation of 29 new job positions, with a ROI in 2024 of 4.61.

Keywords: model driven sw development,cyber physycal systems,industry 4 0
UKraine Replication, Awareness and INnovation based on EGNSS (UKRAINE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: Innovation actions
Countries involved: Ukraine,Austria,Spain,Italy,Belgium,Belgium,Belgium,United Kingdom
Call: Releasing the potential of EGNSS applications through international cooperation (H2020-Galileo-2014-1, 2014)
Start date: 2015-01-01
End date: 2016-09-30
Duration (months): 21.0
Total project cost (EUR): 1429252.85
EU funding (EUR): 1034227.0
Participants: 10
Project status: CLOSED

The objective of the UKRAINE project, in line with GALILEO-3-2014 Call, are to foster application development through international cooperation and to create a broad acceptance of EGNSS in Ukraine, creating at the same time opportunities both for knowledge building and at commercial level. The contribution of the UKRAINE project with respect to the aforementioned objectives relates to the achievement of the following impacts: - preparation of the Ukrainian aviation market to the extension of EGNOS - support to the uptake of regulated EGNSS applications through the elaboration of a legislative roadmap - generation of innovative solutions for multimodal logistics and dangerous goods - creation of business matchmaking opportunities for Ukrainian and EU companies These impacts will be achived by a set of coordinated actions: 1. performing a study on integrating the Ukrainian legal framework to key European directives and regulations on EGNSS transport 2. working on aviation as the starting point for the extension of EGNOS to Ukraine, by a) preparing the ground for LPV procedures, b) working on GNSS signal monitoring and c) setting the required legal framework 3. innovating in the field of EGNSS tracking and tracing of Dangerous Goods and performing a pilot on multimodal freight transport 4. creating business matchmaking opportunities between EU and Ukrainian companies and engaging GNSS stakeholders through a contest on a multiconstellation receiver 5. disseminating results through pilots, demonstrators and an extensive communication campaign The maximum possible involvement of Ukrainian stakeholders will be ensured by a) the direct involvement of the State Space Agency of Ukraine, the National Aviation University and the Technical Polytechnic of Kiev (KPI), b) the organization of events, matchmaking opportunities and contests targeting Ukrainian entities and c) the vision to release products on the Ukrainian market

Keywords: aviation,dangerous goods
Innovation services and key account management support for Basque SMEs for 2020-2021 (BASKAM4)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Spain,Spain,Spain
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 171097.5
EU funding (EUR): 171097.5
Participants: 6
Project status: CLOSED

EU-28 SMEs made a significant contribution to the recovery and subsequent expansion of the EU-28 economy. They accounted for 47% of the total increase from 2008 to 2017 in the value added generated by the non-financial business sector, and for 52% of the cumulative increase in employment in the sector. In fact, their contribution exceeded what would have been expected on the basis of their relative importance in the economy. The internationalisation of SMEs is this year's special theme. SMEs can expand internationally in a number of different ways. Examples include exporting or importing goods and services, making outward foreign direct investment or attracting foreign investors to their business, becoming part of a national value chain which has an international focus, or being part of a global value chain, engaging in cross-border R&D and innovation collaboration, or licencing or franchising products or services. Thus, innovation management plays a key role at this respect and the Basque Country is not an exception at all. Programs supporting SME exports benefit directly only a sub-set of SMEs. However, indirectly, all SMEs benefit to some extent from growth in exports as higher exports raises a) overall income levels, and hence the demand for goods and services sold by domestic demand facing SMEs, and b) the demand for goods and services originating from exporting- oriented enterprises. Some of the main drivers for a high competitiveness score can be linked to the presence of strong skills and innovation capacity and capability, entrepreneurship and easy access to finance. In the Basque Country we are very much aware of this scenario and that is why the Basque Node has designed an implementation plan aiming at contributing to the objectives of COSME. Facilitating access to European and international markets for Basque SMEs and by providing growth-oriented, integrated business and innovation support services that help strengthen the competitiveness.

Keywords: innovation management
Green Flash, energy efficient high performance computing for real-time science (greenFLASH)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Italy,France,France,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2018-12-31
Duration (months): 39.0
Total project cost (EUR): 3760793.75
EU funding (EUR): 3760793.75
Participants: 6
Project status: CLOSED

The main goal of Green Flash is to design and build a prototype for a Real-Time Controller (RTC) targeting the European Extremely Large Telescope (E-ELT) Adaptive Optics (AO) instrumentation. The E-ELT is a 39m diameter telescope to see first light in the early 2020s. To build this critical component of the telescope operations, the astronomical community is facing technical challenges, emerging from the combination of high data transfer bandwidth, low latency and high throughput requirements, similar to the identified critical barriers on the road to Exascale. With Green Flash, we will propose technical solutions, assess these enabling technologies through prototyping and assemble a full scale demonstrator to be validated with a simulator and tested on sky. With this R&D program we aim at feeding the E-ELT AO systems preliminary design studies, led by the selected first-light instruments consortia, with technological validations supporting the designs of their RTC modules. Our strategy is based on a strong interaction between academic and industrial partners. Components specifications and system requirements are derived from the AO application. Industrial partners lead the development of enabling technologies aiming at innovative tailored solutions with potential wide application range. The academic partners provide the missing links in the ecosystem, targeting their application with mainstream solutions. This increases both the value and market opportunities of the developed products. A prototype harboring all the features is used to assess the performance. It also provides the proof of concept for a resilient modular solution to equip a large scale European scientific facility, while containing the development cost by providing opportunities for return on investment.

Keywords: real time control,adaptive optics,fpga,extremely large telescopes
A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology (EuCanImage)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Italy,Germany,Austria,Germany,Spain,Italy,Poland,Sweden,Lithuania,Belgium,Sweden,Netherlands,Netherlands,United States,United Kingdom
Call: AI for Health Imaging (H2020-SC1-FA-DTS-2019-1, 2019)
Start date: 2020-10-01
End date: 2024-09-30
Duration (months): 48.0
Total project cost (EUR): 9994358.5
EU funding (EUR): 9994358.5
Participants: 22
Project status: SIGNED

The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence (AI) in oncology. Firstly, the EuCanImage platform will be populated with a completely new data resource totaling over 25,000 single subjects, which will allow to investigate unmet clinical needs like never before, such as for the detection of small liver lesions and metastases of colorectal cancer, or for estimating molecular subtypes of breast tumours and pathological complete response. Secondly, the cancer imaging platform, built by leveraging the well-established Euro-Bioimaging infrastructure, will be cross-linked to biological and health repositories through the European Genome-phenome Archive, allowing to develop multi-scale AI solutions that integrate organ-level, molecular and other clinical predictors into dense patient-specific cancer fingerprints. To deliver this platform, the consortium will build upon several key European initiatives in data sharing for personalised medicine research, including EUCANCAn (cancer genomics and health data sharing), euCanSHare (cardiac imaging and omics data sharing) and EUCAN-Connect (federated data analytics). Furthermore, to foster international cooperation and leverage existing success stories, the consortium comprises the coordinators of The Cancer Imaging Archive (TCIA), the US cancer imaging repository funded by the National Cancer Institute. This will allow EuCanImage to leverage a unique 10-year long experience in cancer imaging storage, anonymisation, curation and management. Finally, a close collaboration between world renown clinical, radiomics, AI and legal experts within the consortium and beyond will establish well-needed guidelines for AI development and validation named FUTURE, for delivering Fair, Universal, Traceable, Usable, Robust and Explainable decision support systems for future cancer care.

Keywords: ethical and legal interoperability,clinical requirements,large scale cancer imaging,collaborative data annotation,ai passport,clinical effectiveness,in silico trials,ai guidelines
Validation of Actionable Genomic ABerrations in a paediatric Oncology Network for Doctorate students (VAGABOND)

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: Life Sciences
Countries involved: Germany,Germany,Austria,Germany,Italy,Switzerland,Belgium,France,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2020-12-01
End date: 2024-11-30
Duration (months): 48.0
Total project cost (EUR): 3989713.32
EU funding (EUR): 3989713.32
Participants: 12
Project status: SIGNED

Pre-clinical drug development for paediatric cancers is very complex, resource intensive and requiring multi-disciplinary expertise and innovative approaches. The VAGABOND ITN, consisting of 12 academic and 6 non-academic partners from 8 European countries, aims to create a multidisciplinary and multi-sectoral program to validate new therapeutic interventions in paediatric cancer. This network will be sustainable embedded in the ITCC (Innovative Treatments for Children with Cancer) Consortium. The VAGABOND ITN will focus on 15 cutting-edge research projects studying molecular, epigenetic and immunological targets. All projects will (partly) include target identification, in vitro and in vivo validation, compound testing and preparation for clinical implementation. This consortium will highly stimulate international education and multi-disciplinary exchange of expertise in the different steps of pre-clinical drug development. This setting provides an opportunity for a unique European training network in which early stage researchers are equipped with a broad knowledge in pre-clinical drug development. Through this network students will gain access to other leading academic research groups, specialized multi-sectoral companies and the most innovative techniques and insights in the complexity of translational medicine to prepare them for future challenges in their career pathway. In this collaboration we will increase the commune expertise on tumour types and technical expertise for target validation. This will improve the implementation of interventions across paediatric cancer and strongly reduce the timeline from bench to the bedside.

Keywords: pre clinical drug development,paediatric cancers,target drug combinations,compound testing and clinical implementation
Anatomically Precise Revolutionary Implant for bone Conserving Osteoarthritis Treatment (APRICOT)

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: Germany,Germany,Sweden,Netherlands,United Kingdom,United Kingdom
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2019)
Start date: 2019-10-01
End date: 2023-09-30
Duration (months): 48.0
Total project cost (EUR): 3253045.0
EU funding (EUR): 3253045.0
Participants: 7
Project status: SIGNED

Small joint arthritis presents a large societal burden throughout Europe. The largest pan-European study on osteoarthritis (OA) of the hand observed an average incidence of 16.3%. An ageing population is experiencing OA due to increased levels of obesity, and due to people remaining active later in life, imposing long term loading on their joints. The rise of technology has also increased the incidence of finger joint arthritis in young adults as a result of using electronic hand held devices. People need to be independent later in life and new solutions are required, particularly for small joints, where success rates of artificial joints are very low (revision rates of up to 40% have been reported for finger prostheses). This is because the implants are invasive, sacrifice large amounts of tissue, and most critically, they do not restore the original kinematics of the joint, leading to pain and discomfort due to unnatural loading of the tissues. We aim to develop APRICOT, a novel, extremely thin, self-lubricating compliant implant that is placed between the articulating surfaces of the affected joint. It is minimally invasive, does not remove healthy bone, is suitable for patients of all ages, and does not require the use of general anaesthetics. Successful proof of this radical concept will deliver a revolutionary means of treating small joint arthritis and contribute positively to society as a whole by reducing the burden of pain for millions of sufferers, and by empowering individuals to re-integrate with society with confidence. Small joint reconstruction is predicted to experience the fastest growth globally due to the number of emerging markets and the ageing population. The APRICOT concept therefore represents an opportunity for Europe to penetrate the orthopaedic market and gain a competitive advantage with a game changing innovative device.

Keywords: orthopedics,minimally invasive,self lubrication,small joints
Control parametric resonance of wave energy conversion systems (CONPARA)

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: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-06-03
End date: 2021-06-02
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

To date, no marine system, let alone wave energy device, has attempted to exploit parametric resonance as an assistive phenomenon. A number of wave energy researchers have observed the phenomenon and sought to dampen it, but the concept of harnessing the power transferred from (typically) heave to (typically) pitch/roll has not been considered. This fellowship aims to control the parametric resonance of WEC dynamics to improve energy conversion efficiency, based on a 1/20 scale prototype. The research objectives (ROs) are: RO1: Identify a high-fidelity and computation-effective model to represent the WEC parametric resonance with CFD verification in OpenFOAM (open source) and parametric analysis in MATLAB. RO2: Develop advanced nonlinear control strategies and corresponding PTO mechanism for actuation, to improve WEC efficiency making use of its multi-DoF motion and parametric resonance. RO3: Conduct tank testing to verify the modelling of parametric resonance (RO1), and model-based control design and implementation (RO2), based on a self-assembled 1/20 scale prototype. Successful achievement of this fellowship will lead to timely and useful contribution to the wave energy and relevant communities, including: (i) an hydrodynamic model describing WEC parametric resonance with real time computation capacity, (ii) advancing the understanding in WEC parametric resonance, (iii) a 1/20 scale WEC prototype, and (iv) implementable control and PTO systems for multi-DoF WEC systems. In the long term, the successful achievement of this project will improve the technology readiness level (TRL) of wave energy from 5 to 7 for commercial application.

Keywords: wave energy,parametric resonance,wave energy conversion,power maximisation control,parametric analysis,adaptive control,power take off
NextGen Road Safety for smarter cities (Pavnext)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Portugal
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Every year more than 1.25 million people are killed worldwide by road accidents and over 50 million are seriously injured. Road traffic accidents are the main leading cause of death for people aged between 15 to 29 years old, which cost governments approximately 3% of their GDP (WHO, Global Road Safety Report on 2015). In average, a speed reduction of only 5% can reduce by 30% the number of fatal crashes. In cities, a speed reduction from 50 km/h to 30 km/h can reduce the probability of fatality in an accident from 45% to 10% (Holzmann, 2008). Adding to this, 38% of the pedestrian deaths in car accidents happen in crosswalks. PAVNEXT is a beyond state-of-the-art award-wiing Speed Reduction Systems that maximizes speed reduction without the need for any action from the driver, while minimizing the occupant discomfort and the impact on vehicles. In addition to the speed reduction function, PAVNEXT also harvests the vehicles kinetic energy, converting it with a very high efficiency into electrical energy that can be injected into the public grid, or used locally for other safety purposes (e.g. lighting signals), while collecting significant road traffic and energy production data. For the past 4 years we focused on technological development (currently demonstrating in real environment) and fundraising, and we have also accumulated significant recognition and developed a relevant network of partners, potential customers and other stakeholders. Our beachhead market is crosswalk areas in cities above 150 thousand inhabitants, and motorway operators will follow. The successful market entry of PAVNEXT will mean increased safety for pedestrians and drivers, fewer road traffic accidents, a more comfortable urban driving experience, reduced vehicle maintenance needs, more clean energy production and efficiency, atmospheric pollution reduction and, ultimately, better road traffic management.

Keywords: road safety,kinetic energy,energy harvesting,smart cities,road accidents,speed reduction,big data