Prev
The Digging into Data Challenge is an international grant competition sponsored by four leading research agencies, the Joint Information Systems Committee (JISC) from the United Kingdom, the National Endowment for the Humanities (NEH) from the United States, the National Science Foundation (NSF) from the United States, and the Social Sciences and Humanities Research Council (SSHRC) from Canada.
Here is one winning project:
Using Zotero and TAPoR on the Old Bailey Proceedings: Data Mining with Criminal Intent
Awardees: Dan Cohen, George Mason University, NEH; Tim Hitchcock, University of Hertfordshire, JISC; Geoffrey Rockwell, University of Alberta, SSHRC.
Additional Key Participants: The National Archives (United Kingdom), McMaster University, the Open University, Amherst College, University of Sheffield, Trent University, and the University of Western Ontario.
Description: This 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.
Additional winning projects are
Structural Analysis of Large Amounts of Music Information
This project will gather approximately 23,000 hours of digitized music representing a wide range of styles, regions and time periods. The goal is to develop tools to tag and analyze the underlying structures of this music, resulting in a body of world music that will provide music scholars with interactive access to previously unavailable analysis and insights.
Digging into the Enlightenment: Mapping the Republic of Letters
Towards Dynamic Variorum Editions
Digging into Image Data to Answer Authorship Related Questions
Harvesting Speech Datasets for Linguistic Research on the Web
This project will harvest audio and transcribed data from podcasts, news broadcasts, public and educational lectures and other sources to create a massive corpus of speech. Tools will then be developed to analyze the different uses of prosody (rhythm, stress and intonation) within spoken communication.
Railroads and the Making of Modern America - Tools for Spatio-Temporal Correlation, Analysis, and Visualization
Mining a Year of Speech
This project focuses on large scale data analysis of audio -- specifically the spoken word. This project will create tools to enable rapid and flexible access to over 9,000 hours of spoken audio files, containing a wide variety of speech, drawn from some of the leading British and American spoken word corpora, allowing for new kinds of linguistic analysis.
For more information, visit www.diggingintodata.org/