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Paper ID: 1506

Grid Enabled Data Fusion for Calculating Poverty Measures
Simon,Peters Pascal,Ekin Anja,LeBlanc Ken,Clark Stephen,Pickles

Appeared in: Proceedings of the UK e-Science All Hands Conference 2006 website: http://www.allhands.org.uk/2006/
Page Numbers:526 - 534
Publisher: National e-Science Centre
Year: 2006
ISBN/ISSN: 0-9553988-0-0
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2006/proceedings/papers/641.pdf

Abstract: This article presents and discusses the motivation, methodology and implementation of an e-Social Science pilot demonstrator project entitled: Grid Enabled Micro-econometric Data Analysis (GEMEDA). This used the National Grid Service (NGS) to investigate a policy relevant Social Science issue: the welfare of ethnic minority groups in the United Kingdom. The underlying problem is that of a statistical analysis that uses quantitative data from more than one source. The application of grid technology to this problem allows one to integrate elements of the required empirical modelling process: data extraction, data transfer, statistical computation and results presentation, in a manner that is transparent to a casual user.

Keywords: e-Science, AHM 2006


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