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Digitization in the Humanities Workshop
Friday, April 5 – Sunday, April 7, 2013
Farnsworth Pavilion, Rice Student Center
In this workshop we will build on the fundamentals of network analysis and graph theory to explore a data set of social interactions on a popular book piracy forum. Participants will learn to use Gephi–an open-access platform for visualizing and exploring networks and complex systems. Topics covered will include the data cycle, exploratory data analysis, network metrics, clustering algorithms, and elements of visual design.
Finally, the emphasis on community-building leads us to standards and best practices. Rather than more tools, we need initiatives that promote methodological and not just instrumental innovation: humanities-based alternatives to associations like the Society for Political Methodology and the International Association of Legal Methodology; journals like Sociological Methods & Research, Journal of Mixed Methods Research, International Journal of Qualitative Methods; prizes and funding opportunities like the Political Methodology Career Achievement and Emerging Scholars Awards, or the Program for Promoting Methodological Innovation in Humanities and Social Sciences run by JSPS (Japan Society for the Promotion of Science). To sharpen our tools we must return to methodology: to formulate common questions, to take it more seriously in our training, and to give it more room in our debates and publications.
Published in the Debates in the Digital Humanities, edited by Matthew Gold. Read the rest here.
Big Data and Digital Scholarship Seminar
When? 6 pm Monday, February 11 2013
Where? Faculty House, Columbia University
The concept of an interpretive community is an argument for social constructivism: the idea which holds that meaning is contingent on its context. Using some rudimentary network analysis tools, this talk examines evidentiary standards in several discrete knowledge domains to find evidence both in support of and in disagreement with the prevailing theory. The preliminary results also tell us something interesting about the deeply-rooted tension implicit in big-data scholarship–a persistent thread in many of the seminar’s discussions and one that is particularly relevant to research in the humanities and the social sciences.