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Visualizing "Big Data" in the Arts and Humanities

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/53210

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Title: Visualizing "Big Data" in the Arts and Humanities
Creators: Labov, Jessie; Staley, David J., 1963-; Ulman, H. Lewis
Keywords: data visualization
humanities scholarship
big data
digital humanities
Issue Date: 2012-09-26
Publisher: Ohio State University. Humanities Institute
Series/Report no.: Ohio State University. Humanities Institute. Digital Arts and Humanities Working Group. Lectures
Abstract: Panelists David Staley (Associate Professor, The Ohio State University Department of History), Jessie Labov (Assistant Professor, The Ohio State University Department of Slavic and East European Languages and Cultures), and H. Lewis Ulman (Associate Professor, The Ohio State University Department of English) explored the place of data visualization as a form of humanities scholarship, with visualization as the hermeneutic act that allows humanists to read "big data." The panel described the concept of a Humanities Visualization Studio at The Ohio State University to conduct such humanistic readings of big data. Questions centered around defining "big data" in the context of the humanities, how humanists read big data, how our interests and goals with reading big data differ from that of scientists, and how visualization and visual hermeneutics is critical to the effort to read that data. As we read our texts, humanists seek not better models or predictive certainty, but rather patterns of interpretive insight. Reading big data is an occasion for humanists to assert our approach to knowledge: to champion the value of meaning, interpretation and insight in contrast to the logic of scientific prediction and control.
URI: http://hdl.handle.net/1811/53210
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