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Enhancing a Social Science Model-building Workflow with Interactive Visualisation

Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (2016). Enhancing a Social Science Model-building Workflow with Interactive Visualisation. Paper presented at the The European Symposium on Artificial Neural Networks (ESANN 2016), 27-29 Apr 2016, Bruges, Belgium.

Abstract

Models can help scientists study and understand phenomena. Such models need to be informed by theory. We report on the early stages of our ongoing study in which we use interactive visualisation to help improve the construction of theory-driven models, by facilitating the exploration of statistical summaries of input variables, compare the quality of alternative models and keep track of the model-building process. Later work will investigate whether machine-learning techniques can be incorporated without compromising the models' theoretical bases.

Publication Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science > giCentre
URI: http://openaccess.city.ac.uk/id/eprint/14232
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