Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SEAC-1-2015 | Award Amount: 1.78M | Year: 2016
STEM4you(th) seeks to produce a comprehensive, multidisciplinary series of courses presenting key STEM discipline challenges to support young people, primarily high school students aged 14-19, formal and informal education. The content will be organized around 7 STEM disciplines: Mathematics, Physics, Astronomy, Chemistry, Engineering and Medicine. For each discipline 7-9 challenges will be presented largely through their practical applications and their impact on our everyday life and work. Also it will be shown which specific skills and competence STEM education develops and how these skills address the current and future European labor market needs. In the effect project will provide a helicopter view of STEM disciplines and job characteristics associated with these disciplines to help young people in taking conscious decisions on their future (subject of, field of study and finally career path to pursue). The scope and tangible results of STEM4you(th) are: - A multidisciplinary guide developed for different exploitation channels (more formal: extra-cirricular activities at school and informal: science festivals, university organized lectures and web open accessible self-study materials) - Formal and informal methodologies and tools tailored to present the scientific challenges in an attractive way (learning by experiment, gamin, citizen science at schools) - Recommendations on STEM learning best practices and formal school curricula (input to the EU education policy) - Plans on project result exploitation on a large scale by Scientific Communities (like SCIENTIX), educational networks, teacher associations and partner networking. STEM4you(th) is a strong consortium with experience in educational methodologies, economy and societal content and to accelerate the project result dissemination process.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EINFRA-4-2014 | Award Amount: 16.42M | Year: 2015
PRACE, the Partnership for Advanced Computing, was established in May 2010 as a permanent pan-European High Performance Computing service providing world-class systems for world-class science. Six systems at the highest performance level (Tier-0) are deployed by Germany, France, Italy and Spain providing researchers with over 9 billion core hours of compute time. HPC experts from twenty-five member states - funded in part in three implementation projects - enabled users from academia and industry to ascertain leadership and remain competitive in the Global Race. Currently PRACE is preparing for PRACE 2.0, the successor of the initial five year period. The objectives of PRACE-4IP are to build on and seamlessly continue the successes of PRACE and start new innovative and collaborative activities proposed by the consortium. These include: assisting the transition to PRACE 2.0; strengthening the internationally recognised PRACE brand; continuing advanced training which so far provided more than 15.000 person-training days to over 4700 persons, preparing strategies and best practices towards exascale computing, coordinating and enhancing the operation of the multi-tier HPC systems and services, and supporting users to exploit massively parallel systems and novel architectures. The proven project structure will be used to achieve each of the objectives in six dedicated work packages. The project will continue to be managed by Jlich. The activities are designed to increase Europes research and innovation potential especially through: seamless and efficient Tier-0 services and a pan-European HPC ecosystem including national capabilities; promoting take-up by industry and special offers to SMEs; analysing new flexible business models for PRACE 2.0; proposing strategies for deployment of leadership systems; collaborating with the ETP4HPC, the coming CoEs and other European and international organisations on future architectures, training, application support and policies.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EINFRA-11-2016 | Award Amount: 16.11M | Year: 2017
PRACE, the Partnership for Advanced Computing is the permanent pan-European High Performance Computing service providing world-class systems for world-class science. Systems at the highest performance level (Tier-0) are deployed by Germany, France, Italy and Spain providing researchers with over 11 billion core hours of compute time. HPC experts from 25 member states enabled users from academia and industry to ascertain leadership and remain competitive in the Global Race. Currently PRACE is in transition to PRACE 2, the successor of the initial five year period. The objectives of PRACE-5IP are to build on and seamlessly continue the successes of PRACE and start new innovative and collaborative activities proposed by the consortium. These include: assisting the transition to PRACE 2 including an analysis of Trans National Access; strengthening the internationally recognised PRACE brand; continuing and extend advanced training which so far provided more than 18 800 persontraining days; preparing strategies and best practices towards Exascale computing; coordinating and enhancing the operation of the multi-tier HPC systems and services; and supporting users to exploit massively parallel systems and novel architectures. A high level Service Catalogue is provided. The proven project structure will be used to achieve each of the objectives in 6 dedicated work packages. The activities are designed to increase Europes research and innovation potential especially through: seamless and efficient Tier-0 services and a pan-European HPC ecosystem including national capabilities; promoting take-up by industry and new communities and special offers to SMEs; implementing a new flexible business model for PRACE 2; proposing strategies for deployment of leadership systems; collaborating with the ETP4HPC, CoEs and other European and international organisations on future architectures, training, application support and policies. This will be monitored through a set of KPIs.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: MG-3.1-2014 | Award Amount: 9.46M | Year: 2015
Primary particulate matter (PM) consists of chemical components suspended in the atmosphere as aerosols, e.g. as a result of exhaust gaseous and friction processes (e.g. braking). Such particles may potentially contribute to smog events in urban areas and might be responsible of negative effects on the environment (e.g. acid rain acidification, toxic effects on plants and animals) and health (e.g. cancer, respiratory issues). The challenge is therefore to develop a new generation of transport technologies able to reduce the contribution of traffic related and total particulate matter, and, at the same time, to comply with future and stricter legislations on vehicles emissions and EU air quality. The LOWBRASYS project aims at demonstrating a novel and low environmental impact brake system that will reduce micro and nanoparticles emissions by at least 50%. The measurement and understanding of micrometer-sized and ultrafine particles and their effects on health and the environment will be improved and whilst providing recommendations to policy makers. This goal will only be achievable by a systematic and structured approach focused by the LOWBRASYS Team on the following targets: 1. Novel materials formulations of the brakes pad and disc in order to reduce the total particle emissions and have a low-environmental impact. 2. Innovation of environmental friendly braking strategies (control systems) that reduce PM emissions. 3. Breakthrough technology for collection of particles near the PM source in order to further dramatically reduce PM emissions. 5. System integration of the novel pad, components and control systems in vehicles. 6. Improvement of the measurement techniques and understanding of the brake wear PM effects on health and the environment through state-of-the-art non-in-vivo techniques and related policy recommendations. Recommendations to policy makers will also be provided by the Team given no current applicable legislation in Europe.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EINFRA-2-2014 | Award Amount: 13.13M | Year: 2015
OpenAIRE2020 represents a pivotal phase in the long-term effort to implement and strengthen the impact of the Open Access (OA) policies of the European Commission (EC), building on the achievements of the OpenAIRE projects. OpenAIRE2020 will expand and leverage its focus from (1) the agents and resources of scholarly communication to workflows and processes, (2) from publications to data, software, and other research outputs, and the links between them, and (3) strengthen the relationship of European OA infrastructures with other regions of the world, in particular Latin America and the U.S. Through these efforts OpenAIRE2020 will truly support and accelerate Open Science and Scholarship, of which Open Access is of fundamental importance. OpenAIRE2020 continues and extends OpenAIREs scholarly communication infrastructure to manage and monitor the outcomes of EC-funded research. It combines its substantial networking capacities and technical capabilities to deliver a robust infrastructure offering support for the Open Access policies in Horizon 2020, via a range of pan-European outreach activities and a suite of services for key stakeholders. It provides researcher support and services for the Open Data Pilot and investigates its legal ramifications. The project offers to national funders the ability to implement OpenAIRE services to monitor research output, whilst new impact measures for research are investigated. OpenAIRE2020 engages with innovative publishing and data initiatives via studies and pilots. By liaising with global infrastructures, it ensures international interoperability of repositories and their valuable OA contents. To ensure sustainability and long-term health for the overall OpenAIRE infrastructure, the proposed OpenAIRE2020 project will establish itself as a legal entity, which will manage the production-level responsibilities securing 24/7 reliability and continuity to all relevant user groups, data providers and other stakeholders.
Agency: European Commission | Branch: H2020 | Program: CS2-RIA | Phase: JTI-CS2-2014-CFP01-LPA-03-02 | Award Amount: 1.76M | Year: 2016
Aircraft System Prognostic solutions integrated into an airline E2E maintenance operational context. The key objective of the proposal is to demonstrate benefits of aircraft system prognostics solutions integrated into an airline E2E maintenance operational context. This will be achieved by development of following innovative components: A novel prognostic architecture that includes both on-board and ground elements shall be demonstrated using a large passenger aircraft selected Aircraft System. Specific prognostics capabilities such as data collection, data processing, symptom generation, failure mode identification and predictive trending shall be demonstrated within an advanced Integrated Health Monitoring and Management (IHMM) system. A revolutionary augmented reality (AR) mobile tools as gesture recognition, speech recognition and near-to-eye (NTE) displays that aids maintenance execution by bringing the necessary information directly to the engineer at remote repair sites shall be developed and demonstrated. The primary impact of the proposed work shall be to maximize aircraft utilization and achievement of reduction in operational interrupts. We will achieve this by developing a framework allowing Airlines, MROs, OEMs, and Suppliers to share a common understanding of the diagnostic and prognostic health of the aircraft. This program leverages some of ongoing Honeywell work in the area of predictive analytics, connected aircraft architectures, and computer aided maintenance to achieve Large Passenger Aircraft IADP Platform work package 3.6 goals.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETHPC-1-2014 | Award Amount: 3.91M | Year: 2015
Scalable machine learning of complex models on extreme data will be an important industrial application of exascale computers. In this project, we take the example of predicting compound bioactivity for the pharmaceutical industry, an important sector for Europe for employment, income, and solving the problems of an ageing society. Small scale approaches to machine learning have already been trialed and show great promise to reduce empirical testing costs by acting as a virtual screen to filter out tests unlikely to work. However, it is not yet possible to use all available data to make the best possible models, as algorithms (and their implementations) capable of learning the best models do not scale to such sizes and heterogeneity of input data. There are also further challenges including imbalanced data, confidence estimation, data standards model quality and feature diversity. The ExCAPE project aims to solve these problems by producing state of the art scalable algorithms and implementations thereof suitable for running on future Exascale machines. These approaches will scale programs for complex pharmaceutical workloads to input data sets at industry scale. The programs will be targeted at exascale platforms by using a mix of HPC programming techniques, advanced platform simulation for tuning and and suitable accelerators.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETHPC-1-2014 | Award Amount: 3.12M | Year: 2015
Energy-efficient heterogeneous supercomputing architectures need to be coupled with a radically new software stack capable of exploiting the benefits offered by the heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by Exascale supercomputers. ANTAREX will solve these challenging problems by proposing a disruptive holistic approach spanning all the decision layers composing the supercomputer software stack and exploiting effectively the full system capabilities (including heterogeneity and energy management). The main goal of the ANTAREX project is to provide a breakthrough approach to express application self-adaptivity at design-time and to runtime manage and autotune applications for green and heterogenous High Performance Computing (HPC) systems up to the Exascale level.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETHPC-1-2014 | Award Amount: 3.53M | Year: 2015
High Performance Computing (HPC) has become a major instrument for many scientific and industrial fields to generate new insights and product developments. There is a continuous demand for growing compute power, leading to a constant increase in system size and complexity. Efficiently utilizing the resources provided on Exascale systems will be a challenging task, potentially causing a large amount of underutilized resources and wasted energy. Parameters for adjusting the system to application requirements exist both on the hardware and on the system software level but are mostly unused today. Moreover, accelerators and co-processors offer a significant performance improvement at the cost of increased overhead, e.g., for data-transfers. While HPC applications are usually highly compute intensive, they also exhibit a large degree of dynamic behaviour, e.g., the alternation between communication phases and compute kernels. Manually detecting and leveraging this dynamism to improve energy-efficiency is a tedious task that is commonly neglected by developers. However, using an automatic optimization approach, application dynamism can be detected at design-time and used to generate optimized system configurations. A light-weight run-time system will then detect this dynamic behaviour in production and switch parameter configurations if beneficial for the performance and energy-efficiency of the application. The READEX project will develop an integrated tool-suite and the READEX Programming Paradigm to exploit application domain knowledge, together achieving an improvement in energy-efficiency of up to 22.5%. Driven by a consortium of European experts from academia, HPC resource providers, and industry, the READEX project will develop a tools-aided methodology to exploit the dynamic behaviour of applications to achieve improved energy-efficiency and performance. The developed tool-suite will be efficient and scalable to support current and future extreme scale systems.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 558.00K | Year: 2017
A lot of cement plants all around Europe are standing before problem of by-pass kiln dust disposal. Nowadays small part of production is added in stabilizing admixture and the rest is disposed of as a waste material. In light of the fact that this material contains approximately 1050 wt. % of KCl, free lime and dicalcium silicate, the possibility of their usage in alkali activated systems is at hand. Project proposal deals with, research and testing of alkali activated concretes based on by pass kiln dust and other suitable industrial waste. Project is primarily focused on concrete, which properties are defined by European standards. The precast concretes will fulfil all quality and properties requirements demanded in industrial application. Project proposal will be implemented by consortium of university research organizations (Brno University of Technology, Technical University of Ostrava, and Institute of Eduardo Torroja for construction Science-CSIS), by-pass kiln dust producer (Cemmmag Inc.) and large scale producer of prefabricated concretes (PSV Inc.). This consortium has a high potential to successfully and sophisticatedly implement above described research tasks.