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NCI awarded two major IT research projects by European Commission

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27 April 2015

The Cloud Competency Centre at National College of Ireland (NCI) has been awarded two important projects funded by the European Commission as part of Horizon 2020, the EU’s research and innovation programme.

Both four-year projects commenced this month and have a value of more than €3 million over the next four years and will contribute to the makeup of the college’s postgraduate programmes in cloud computing and analytics.

The first project, High-Performance Modelling and Simulation for Big Data Applications, will support information exchange and coordination of cloud and parallel computing, infrastructure, and analytics among European research groups and global partner institutions, and promote European software industry competitiveness.

It involves 39 recognised experts from institutions including the Chinese Academy of Sciences; Australia’s Commonwealth Scientific and Industrial Research Organisation; the Italian National Research Council; and the Universities of Bremen, Cambridge, Carlos III de Madrid, Edinburgh, George Mason, Krakow, Lille, Lisbon, Luxembourg, Notre Dame, Pisa, Queen’s Belfast, and Uppsala as well as National College of Ireland.

The second project, Computationally-intensive Methods for the Robust Analysis of Non-standard Data, aims to improve knowledge extraction from non-standard datasets through novel methods and tools in computing, statistics, machine learning, and mathematics. In addition to NCI, participating institutions include NUI Galway, Imperial College London, Queen Mary, University of London, Universidad de Oviedo, EBS Universität für Wirtschaft und Recht, IICT-BAS (Bulgaria), University of Copenhagen, and University of Turku.

Horacio González-Vélez, head of the Cloud Competency Centre at National College of Ireland and the main promoter of both projects, said: “The modelling and simulation of data-intensive scientific applications are inherently complex, so there has been an increasing interest to widely deploy data analytics in science.

“In particular, one would like to foster scientific discovery by efficiently using analytics, so one can underpin the scientific method using effective computer modelling and simulation in social, biomedical, and physical science. Academics and practitioners can be better equipped to carry out their evolving research and innovation jobs. These two European endeavours will help us work cooperatively with over 100 experts across the world. It will substantially increase our data analytics know-how at NCI and, indeed, across Ireland.”

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