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Grant number: HJ-50048-10

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HJ-50048-10

George Mason University (Fairfax, VA 22030-4444)
Daniel Cohen (Project Director: 07/30/2009 to present)

Using Zotero and TAPoR on the Old Bailey Proceedings: Data Mining With Criminal Intent

This project will develop tools and models for comparing, visualizing, and analyzing the history of crime, using the Old Bailey Online, which contains extensive court records of more than 197,000 individual trials held over a period of 240 years in Great Britain. The team is composed of scholars from George Mason University, the University of Hertfordshire, and the University of Alberta.

The With Criminal Intent project will create an intellectual exemplar for the role of data mining in an important historical discipline–the history of crime–and illustrate how the tools of digital humanities can be used to wrest new knowledge from one of the largest humanities data sets currently available: the Old Bailey Online. It will create a seamlessly connected environment, the Newgate Commons, in which scholars can use data mining techniques to select themed texts from the 120 million words of trial records contained in the Old Bailey, and employ these texts as the basis of a study collection in Zotero where they will in turn be available for analysis using TAPoR tools (including quantitative text analysis and visualization). In the process, this project will showcase the integration of online textual resources with bibliographical and analytical tools emerging from Digital Humanities.

[White paper][Media coverage]

Project fields:
Interdisciplinary Studies, General

Program:
Digging into Data

Division:
Digital Humanities

Total amounts:
$100,000 (approved)
$100,000 (awarded)

Grant period:
1/1/2010 – 3/31/2011