Emerging Opportunities for Visual Analytics in the Digital Humanities
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Research is a complex process of exploration and analysis that encompasses observation, collection, interpretation, discourse, and collaboration. That the digital humanities community aims to marry human and computational capabilities puts it squarely in the vanguard of emerging methodologies. As a growing methodological subdiscipline of the information sciences, visual analytics seeks to facilitate the research process by augmenting innate human visual and cognitive capabilities with interactive computational tools. The commonalities and potential for exchange between the digitial humanities and visual analytics is conspicuous. Useful but specialized applications of visual analysis now exist in numerous domains that tackle complex, voluminous information sources; well-represented domains include intelligence analysis, emergency response, business logistics, finance, and epidemiology. However, there is of yet little support for an open-ended, user-driven process of broad and deep digital engagement in which data processing, graphical depiction, and human interaction adapt to evolving research needs and goals, particularly in examinations of idiosyncrasy. In this talk, Chris Weaver will offer a vision of humanities scholarship infused with highly interactive, visual, computational facilities for interpretation and discourse. He will also present concrete progress on developing methods, techniques, and tools in support of that vision.
Digital Humanities Seminar, University of Kansas—Institute for Digital Research in the Humanities & Hall Center for the Humanities, February 7, 2012: http://idrh.ku.eduChris Weaver is an Assistant Professor in the School of Computer Science and Associate Director of the Center for Spatial Analysis at the University of Oklahoma. He was a post-doctoral Research Associate with the GeoVISTA Center in the Department of Geography at Penn State, where he helped to found the North-East Visualization and Analytics Center. His research in information visualization and visual analytics focuses broadly on synthesis of highly interactive visual interfaces for exploring and analyzing heterogeneous multidimensional data sets.
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