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Big Data, Analytics and the Architecture of Computation

When and where

Date and time


CA107, St Anthony's, Cairnes Building


Workshop jointly hosted by the Irish Centre for High End Computing (ICHEC) and the Social Sciences Computing Hub at the Whitaker Institute

The half-day workshop will introduce some novel statistical methods and computational techniques involved in big data analytics, including the issue of cleaning the data sets and automated classification, and visualization. The workshop will also discuss both the conventional and emerging innovative computational solutions for working with big data.

The computations will be implemented in the R environment and the extensibility of the environment will be discussed.

This workshop will be beneficial to a wide range of researchers across Social Sciences, Humanities, Natural and Physical Sciences.


09:30 - Introduction to data analytics What is it, why is it important, where is it used

09:50 - Data analytics: Computation The R environment, Visualization and Extensibility

10:15 - BREAK

10:45 - Introduction to techniques and their implementation Cleaning, basic stats, regression, time series, automated classification

11:45 - BREAK

12:00 – Big data’ and computer architecture What is ‘big data’, where they come from, the conventional and emerging computing solutions

12:30 - Q&A, discussion

13:00 - END/LUNCH


Dr. Adam Ralph, ICHEC

Dr. Bruno Voisin, ICHEC

Dr. Michael Browne, ICHEC

Dr. Srinivas Raghavendra, NUIG

Contact: Gráinne Larkin, Whitaker Institute