June 14, 2021

New Video From CRL: “Text and Data Mining in the Humanities and Social Sciences: Strategies and Tools”

The Center for Research Libraries (CRL) has just posted a video recording of a July 29, 2015 presentation featuring two well-known and respected members of the digital humanities community, Peter Leonard and Lindsay King from the Yale University Library.

The video runs 82 minutes.

From the CRL Blurb About the Presentation (CRL):

Computer-assisted analysis of large-scale data is of growing interest to scholars in the humanities and social sciences. Libraries are encountering complex legal and technical issues in their efforts to support researchers’ text and data mining (TDM) activities. This presentation on strategies, approaches, and tools is the fifth in a series of CRL webinars to explore issues surrounding TDM.

Presenters

Peter Leonard Director of the Digital Humanities Laboratory at Yale University, will draw on his expertise in digital and quantitative methods to illustrate various approaches to analyzing large sets of humanities data.

Lindsay King  Assistant Director for Public Services in the Haas Arts Library at Yale University, will introduce the Robots Reading Vogue project as a demonstration of these research applications for scholars in disciplines across campus.

Some Additional Reading (Previous InfoDOCKET Posts)

Yale University Library Receives $3 Million Grant For Digital Humanities Lab, STEAM Education Initiative to Launch (January 14, 2015)

“Digital Humanities Go Vogue” at Yale University

Conference Paper: Mining Large Datasets for the Humanities (July 17, 2014)

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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