Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A novel vaccine technology leading to accelerated availability of vaccines and improved delivery (VACCELERAID)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Israel
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Common to current manufacturing technologies for vaccines is the long lead-time before they were made available or novel vaccines could be made available to the public. Current methods are very time consuming and frequently encounter problems with scale-up, in particular if sudden demands have to be met. However, the ability to start vaccination campaigns fast – and earlier than currently possible – is particularly important in view of seasonal influenza, influenza pandemics or sudden outbreaks of dangerous, hereto unknown infectious diseases. Resulting delays definitely pose a high risk for health and lives of many people. To provide solutions to these world-wide challenges is of European and global interest and GZA offers such a response: The technology is based on self-assembly of SV40 capsid proteins around a given nucleic acid and has several additional applications; however, it will be validated here in the area of vaccination with RNA. The main advantage of GZA’s novel vaccine technology platform is that it enables strongly shortened manufacturing periods and accelerated market introduction of a novel vaccine (e.g., 2-3 times faster manufacturing for novel influenza vaccines). The business model is based on developing and validating the technology for a given purpose in-house and receive milestone payments and royalties specified in co-development and licensing agreements with established pharma companies active in the vaccine sector (such as GSK, Novartis or Sanofi Pasteur). Most importantly, in the feasibility assessment applied for here GZA wishes to further detail the business plan with updated evaluations of markets, competitors, IP, a project/development plan and budget to further highlight the attractiveness of the business case and to prepare initiation of a full development program in phase 2. Furthermore, it is intended to obtain input from experienced regulatory professionals and draft a potential regulatory strategy aiming at marketing approval.

Keywords: vaccination,nucleic acid delivery
Sustainable Responsive Shading System (AIRSHADE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Airshade has developed and patented a self-sustaining and eco-friendly responsive shading system constructed from sustainable materials, that follows the idea of thermo-sensitivity to solar exposure and requires only air pressure to operate. Responsive solar shading systems have been emerging for the past few decades, but they are all controlled by electricity, cables and motors. Airshade is improving on the current state of the art through a responsive solar shading system which reduces costs, in terms of production, installation and maintenance, carbon footprint, as it is built from sustainable materials, and energy consumption used for residential heating and cooling, all while requiring no electricity to operate. Airshade is addressing the needs of a significant global market consisting of professionals involved in the construction industry, such as architects, engineers, planners, builders and building consultants, as well as billions of end-users - people who live and work in buildings. There are hundreds of thousands of architects, builders and engineers/consultants in the EU only, while end- user are essentially all house owners, which means millions in the EU and billions globally. Professionals in the construction industry need to achieve today’s required sustainability standards by applying efficient building products and systems, while end-users can benefit from a cost-efficient responsive shading system. To this very large pool of potential customers, Airshade offers an innovative responsive shading system which significantly improves upon current solutions, delivering the same benefits as the most advanced state of the art, but without all the inconveniences and at a very competitive price. Created by a diverse, young and most importantly, environmentally conscious team, Airshade is a pioneering, award-winning concept.Working in the most resource-consuming industry on the planet, Airshade considers sustainability as default rather than an exception.

Keywords: responsive shading system,sustainable shading,facade planning,thermo sensitivity,solar radiation,air pressure,heating and cooling,thermal regulation,sustainable materials
Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

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: Belgium,Sweden,Sweden,Sweden,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-09-01
End date: 2020-08-31
Duration (months): 48.0
Total project cost (EUR): 3078374.4
EU funding (EUR): 3078374.4
Participants: 10
Project status: CLOSED

The continuously growing need for higher data-rates and, therefore, more signal bandwidth in wireless communications, requires the use of multi-antenna base stations employing the recently introduced massive Multiple-Input-Multiple-Output (MIMO) concept and operating at millimeter-wave frequencies, e.g. 30 GHz. However, the implementation of such complex antenna systems into highly-integrated, energy- and cost-effective solutions is very challenging. Therefore, we propose an innovative antenna system concept utilizing silicon semiconductor electronics that can generate or receive at millimeter-wave frequencies in order to truly expand wireless communications into the outer limits of radio technology. SILIKA establishes a training network with leading R&D labs from European industries, universities and technology institutes in the domain of wireless infrastructure. This will be achieved by a multi-disciplinary approach combining expertise in all required areas to create a breakthrough towards millimeter-wave multi-antenna systems for energy-efficient and low-cost base stations for 5G wireless infrastructure. In the SILIKA Graduate School we will train 12 ESRs with post-master level technical courses and industrial workshops which are complemented by several professional-skill training modules relevant for working in multi-disciplinary project teams. All ESRs will perform secondments in an industrial setting. The SILIKA consortium consists of key European players in the field of wireless infrastructure with a complementary field of expertise and with a proven track-record in joint collaborations. As a consequence, SILIKA will provide the ESRs with a comprehensive set of transferable skills relevant for innovation and long-term employability. The high level of participation of leading industries will ensure that the scientific results of SILIKA will be transferred to future products in the area of wireless infrastructure which will benefit the European economy.

Keywords: millimeter wave antenna systems,base stations for wireless communications,wireless infrastructure,massive mimo,phased arrays,microwave silicon integrated circuits ic
Career Advancement for Refugee Researchers in Europe (CARe)

Framework: Horizon 2020 — Science with and for Society
Programme: Make scientific and technological careers attractive to young students, and forster sustainable interaction between schools, research institutions, industry and civil society organisations
Action type: Coordination and support actions
Countries involved: Germany,Finland,Belgium
Call: Science4Refugees (H2020-SwafS-2018-1, 2018)
Start date: 2019-01-01
End date: 2020-12-31
Duration (months): 24.0
Total project cost (EUR): 344606.75
EU funding (EUR): 344606.75
Participants: 3
Project status: CLOSED

While the high influx of asylum seekers poses an enormous pressure on the host countries (nearly 3.8 million new asylum applications recorded in Europe in the years 2015-2017), studies of previous large-scale migration movements reveal insights into positive effects of welcoming refugees and significant economic returns of investments into refugees. Although exact figures are missing, there is some evidence indicating that a significant part of the refugees is highly skilled. This suggests that a substantial number of refugees could potentially contribute to the European Research Area as well as the economies and societies of their host countries and the European Union (EU). It is therefore of utmost importance to provide the job seekers with coordinated and needs-based support in job search and match making with the employers seeking work force of their competence and expertise. The CARe project (Career Advancement for Refugee Researchers in Europe) is a 21-month project that aims to support the labour market integration of refugee researchers through coordinated and tailored provision of information needed for their entry and integration in R&D market. It targets 10 European countries with high numbers of asylum seekers, the absorption capacity of the R&D labour market and proven political will to support the labour market integration of refugee researchers (Austria, Belgium, Finland, France, Germany, Ireland, Norway, Sweden, Switzerland and the Netherlands). The project objectives will be achieved through a set of research and dissemination activities that will on the one hand, provide needs-based and country-specific information on the labour market conditions and requirements for refugee researchers, and on the other, provide Europe-wide platforms for results dissemination and exploitation on a much larger scale by involving EURAXESS centres and dissemination through the EURAXESS portal.

Keywords: labour market integration,refugee researchers,european cooperation,needs based information provision and guidance,euraxess portal
WCET-Aware Parallelization of Model-Based Applications for Heterogeneous Parallel Systems (ARGO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Greece,France,France,France,Netherlands
Call: Customised and low power computing (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2019-03-31
Duration (months): 39.0
Total project cost (EUR): 3892181.25
EU funding (EUR): 3892181.0
Participants: 11
Project status: CLOSED

Increasing performance and reducing costs, while maintaining safety levels and programmability are the key de-mands for embedded and cyber-physical systems in European domains, e.g. aerospace, automation, and automotive. For many applications, the necessary performance with low energy consumption can only be provided by customized computing platforms based on heterogeneous many-core architectures. However, their parallel programming with time-critical embedded applications suffers from a complex toolchain and programming process. ARGO (WCET-Aware PaRallelization of Model-Based Applications for HeteroGeneOus Parallel Systems) will ad-dress this challenge with a holistic approach for programming heterogeneous multi- and many-core architectures using automatic parallelization of model-based real-time applications. ARGO will enhance WCET-aware automatic parallelization by a cross-layer programming approach combining automatic tool-based and user-guided parallelization to reduce the need for expertise in programming parallel heterogeneous architectures. The ARGO approach will be assessed and demonstrated by prototyping comprehensive time-critical applications from both aerospace and industrial automation domains on customized heterogeneous many-core platforms. The challenging research and innovation action will be achieved by the unique ARGO consortium that brings together industry, leading research institutes and universities. High class SMEs such as Recore Systems, Scilab Enterprises and AbsInt will contribute their diverse know-how in heterogeneous many-core technologies, model-based design environments and WCET calculation. The academic partners will contribute their outstanding expertise in code transformations, automatic parallelization and system-level WCET analysis.

Keywords: model base design,automatic parallelization,wcet calucation,multi and many core processors
SLA-Ready: Making Cloud SLAs readily usable in the EU private sector (SLA-Ready)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Future Internet: Software, hardware, Infrastructures, technologies and services
Action type: Coordination and support actions
Countries involved: Germany,France,Netherlands,United Kingdom,United Kingdom
Call: Advanced Cloud Infrastructures and Services (H2020-ICT-2014-1, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 679936.0
EU funding (EUR): 679936.0
Participants: 5
Project status: CLOSED

Today, whilst many organisations are reliant on cloud resources, contracts for cloud services often contain Service Level Agreements (SLAs) with technical & legal provisions that are inappropriate, difficult to understand &/or illegal. Similarly, the application of established data protection concepts can be problematic, with uncertainties as to what is regulated, who is responsible & which laws apply. Building on the work conducted by EC SIG SLA, Certification & Code of Conduct, ETSI CSC, CSA WGs, ECP Steering Board, NIST, Gartner, SLA-Ready, delivers a reference model for Cloud SLAs & a set of best-practices & services to support cloud customers in the use of cloud SLAs through their life cycle. The latter will improve the uptake of cloud computing by private sector, while procuring services across the cloud market. Other Outputs: • support cloud customers via a dedicated, social repository of Cloud SLAs and supporting services to ensure the acquisition, operation and termination of cloud services fulfilling specified requirements; • provide an active contribution to relevant SDOs like: ISO/IEC 19086. • engage & ensure coordinated, global collaborations with e.g., NIST RATAX and the CSA SLA WG for a collaborative, international approach; • Provide 4 engaging practical user friendly tutorials to end-users, • Showcase real efforts of the common reference model implementation in Europe. The consortium is lean, complementary & strong: TRUST-IT, a prime mover in cloud computing landscape ensures effective coordination, digital marketing & SDO liaisons; CSA a leading, global player in the arena of cloud security; TUDA, brings direct expertise on techniques & frameworks to operate with cloud SLAs; Arthur’s Legal represents IT, ISP, software, CSP, IoT & IT service vendors, end-users in their legal life cycle. Numergy offers cloud services to public & private organizations. SLA-READY has a pragmatic & actionable Advisory Board (AB) made up of key opinion leaders.

Keywords: service level agreements,cloud computing,standards developments organisations,certification and code of conduct
Fast Interactive Verification through Strong Higher-Order Automation (Matryoshka)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: France,France,Netherlands
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-03-01
End date: 2022-02-28
Duration (months): 60.0
Total project cost (EUR): 1498438.0
EU funding (EUR): 994688.0
Participants: 3
Project status: CLOSED

Proof assistants are increasingly used to verify hardware and software and to formalize mathematics. However, despite the success stories, they remain very laborious to use. The situation has improved with the integration of first-order automatic theorem provers -- superposition provers and SMT (satisfiability modulo theories) solvers -- through middleware such as Sledgehammer for Isabelle, codeveloped by the PI; but this research has now reached the point of diminishing returns. Only so much can be done when viewing automatic provers as black boxes. To make interactive verification more cost-effective, we propose to deliver very high levels of automation to users of proof assistants by fusing and extending two lines of research: automatic and interactive theorem proving. This is our grand challenge. Our starting point is that first-order automatic provers are the best tools available for performing most of the logical work. Our approach will be to enrich superposition and SMT with higher-order reasoning in a careful manner, to preserve their desirable properties. We will design proof rules and strategies, guided by representative benchmarks from interactive verification. With higher-order superposition and higher-order SMT in place, we will develop highly automatic provers building on modern superposition provers and SMT solvers, following a novel stratified architecture. To reach end users, these new provers will be integrated in proof assistants, including Coq, Isabelle, and the TLA+ Proof System, and will be available as backends to more specialized verification tools. The users of proof assistants and similar tools stand to experience substantial productivity gains: In the past five years, the success rate of automatic provers on interactive proof obligations from a representative benchmark suite has risen from 47% to 77%; with this project, we aim at 90%--95% proof automation.

Keywords: automatic theorem proving,interactive theorem proving,proof assistants,smt solvers,superposition
FOOD 2030 Flagship Conference on Research and Innovation for Food and Nutrition Security and Quality Empowerment (FOOD 2030 FLAGSHIP)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Coordination and support actions
Countries involved: Bulgaria
Call: SC2-Presidency Event for Food 2030 (H2020-IBA-SC2-PRESIDENCY-2017, 2017)
Start date: 2017-12-01
End date: 2018-09-30
Duration (months): 10.0
Total project cost (EUR): 125000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

In the prospect of the discussions on proposal of the EC on the next Multiannual financial framework and the 9th Framework Program for Research and Innovation, coupled with exploring the opportunities for promoting public-private partnership for increasing the processes of inclusive participation involving actors from different sectors, the project for a Flagship conference during the Bulgarian EU Presidency intends to provide a platform for discussions on increasing the impact of R&I for the whole food chain, in response to societal needs and expectations, climate change and globalization. To do this, Bulgaria will address, invite and involve a wide diversity of actors to build a shared and inclusive vision, boosting future investments in R&I in Europe and leveraging private investments and increasing synergies with public funding. Within the overall European Research and Innovation context, this would mean maximizing the impact from R&I on industry, policy and society, and making difference for local and regional communities and enhancing their innovation potential. The focus of the conference will be on R&I for future proofed Food and Nutrition Systems. Food 2030 – Research and Innovation for Food and Nutrition Security and Quality Empowerment conference concept will be built upon the whole Food System approach, linking land and sea, producers to consumers and back to addresses the four FOOD 2030 priorities: Nutrition for healthy and sustainable diets, Climate and environmental sustainability, Circularity and resource efficiency, Innovation and empowering communities. Such decision is motivated by the accord that research and innovation are key for a better future for societies and will bring secure and competitive environment including transforming existing food systems so that they become sustainable, resilient, diverse, responsible, inclusive and competitive. The outcome of this event will provide the impetus for Europe to further boost broad-based innovation

Keywords: presidency of the eu,flagship event,research and innovation,food,nutrition,security,quality,sfns,sdgs,h2020
Early screening of eye diseases using automated diagnosis of high-fidelity 3D images (EASED3D)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Denmark
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-06-01
End date: 2017-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Europe has an ageing demographic, 25% of the population over 40 years old suffer from eye disesase. As an example, 5% of the diagnosed disease are categorised as Age-related Macular Degeneration (hereafter AMD). This disease can be treated, if diagnosed early. The problem: A number of severe diseases, such as AMD, can be diagnosed by scanning and analyzing the retina, however due to microscopic movement of the eye, only a small part of the retina can be “photographed” as the current technology is too slow to capture a clear image. The method used to diagnose eye diseases is called “Optical Coherence Tomography” (hereafter OCT) 2D imaging, and is usually performed by specialised eye doctors (ophthalmologists). To enable earlier diagnosis, screening for eye diseases such as AMD are increasingly being done by opticians, but due to the complexity of the eye, and the quality of the 2D images, this leads to many false-positives. Despite the clear benefit of earlier screening, the many false-positive resulys found by opticians are a burden on ophthalmologist and are taking up time and resources. The solution: OCTLIGHT has developed a patented specialized light source module, that enables OCT “eye scanner” devices to scan the eye 10x faster than the technology presently used, giving them the ablity to do clear wide field 3D image scans of the eye. The wide field 3D images make it easier for ophthalmologists to detect eye diseases, but just as significant, the high quality of the data (image) allows for the use of Machine Learning for diagnosing eye diseases. This means that OCTLIGHTs technology enables better screening, which can be combined with Machine Learning to enable better and more reliable diagnosis even if performed by opticians. This should reduce the many false-positives found, enabling efficient and cost-saving diagnosis and treatment.

Keywords: photonics,eye scanner,machine learning,eye disease,business strategy