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Quantitative Research
Based at the Centre for e-Science at the University of Lancaster and CCLRC Daresbury , the Colaboratory for Quantitative e-Social Science (CQeSS) is the NCeSS research node for developing and supporting Quantitative e-Social Science. The node is currently funded from September 2004 to August 2007.
CQeSS is undertaking a range of activities to provide tools and solutions for Quantitative Social Scientists, typically using large numerical data sets, interested in using e-Science methods to support their research. The nodes main activities are:
- The further development and deployment of Lancaster 's S tatistical A nalysis of B inary R ecurrent E vents ( SABRE ) [ http://sabre.lancs.ac.uk/ ] software.
- The further development and application of Grid Resources O n W orkstations L ibrary ( GROWL ) [LINK TO RESEARCH GROWL] middleware. GROWL is a lightweight toolkit aimed at providing user friendly Grid access to (heritage) applications via a client-server architecture using web services. The use of GROWL is being demonstrated with Grid enabled SABRE.
- The development and provision of a portal interface to provide access to Grid enabled resources and software on the National Grid Service and the North West Grid. The portal solution will encourage Grid uptake by non specialists and aid collaborative working between a community of scientists engaged in similar research. For this purpose we are developing or deploying a range tools to in the SAKAI portal framework. [L-[ [www.Grids.ac.uk/Sakai ]
- In cooperation with our ReDReSS [link to http://redress.lancs.ac.uk ] project, we are providing a growing resource (training, awareness raising and background material) of relevance to exploiting e-Social Science technology in the social sciences. The material includes presentations from workshops and the NCeSS winter training school and other topical events organised as part of the ReDReSS/CQeSS programme.
With the above activities we aim to achieve the following goals:
To become an internationally recognized Centre for Quantitative e-Social Science
To help stimulate the uptake of quantitative e-Social Science methodologies and technologies in the social sciences, government agencies, social and health services, industry and commerce
To develop e-Science tools appropriate to quantitative e-Social Science
To create a virtual community of quantitative e-Social Scientists
To provide some of the appropriate stepping stones and training in quantitative e-Science for social scientists
To contribute to, and benefit from, the core e-Science programme, the ESRC e-Social Science programme and the activities of NCeSS