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Harriett Green
English and Digital Humanities Librarian

Harriett Green
Harriett Green is the English and Digital Humanities Librarian at the University of Illinois Library. Her work includes providing research consultations on digital humanities in the Library’s Scholarly Commons, and she has collaborated with multiple faculty and research teams on digital humanities research projects. Her research interests include use and users of digital humanities resources; digital pedagogy; and humanities data curation.



Phone: 217-333-4942

CIRSS Publications

Fenlon, K., Senseney, M., Green, H., Bhattacharyya, S., Willis, C, & Downie, J. S. (2014, October). Scholar-built collections: A study of user requirements for research in large-scale digital libraries. Paper presented at ASIS&T 2014, Seattle, WA. Read more

Green, H., Fenlon, K., Senseney, M., Bhattacharyya, S., Willis, C., Organisciak, P., Downie, J. S., Cole, T., & Plale, B. (2014, March). Using collections and worksets in large-scale corpora: Preliminary findings from the Workset Creation for Scholarly Analysis project. Poster presented at iConference 2014, Berlin, Germany. Read more

Cole, T. W., Han, M. J., Moncur, D., & Green, H. E. (2011, September). Describing collections and collection services for the BTP. In Proceedings of the International Conference on Dublin Core and Metadata Applications, The Hague, Netherlands. Read more

Past CIRSS Events

March 4, 2017
Rescuing Lost History: Using Big Data to Recover Black Women's Lived Experiences
* Abstract:Big data and computational analysis are often far from neutral processes and sites unimpeded by the political, social and economic context in which they emerged and are utilized. The method…

October 9, 2013
HTRC Workset Creation for Scholarly Analysis: Project summary and early findings
The HathiTrust Research Center (HTRC) enables computational access to the HathiTrust corpus, a digital library of millions of books and other materials digitized by the Google Books project and other …

April 25, 2012
Bandits and Browsing: Data Mining and Network Analysis for Library Collections
Our project proposes to conduct network analyses and data regressions on a data set of 22 million items indexed in the University of Illinois Library catalog. Based on the network analyses resulting f…