What AI can do with manuscript collections

Your Name and Title:

Sonia Yaco

Digital Initiatives and Emerging Technologies Librarian

 

Library, School, or Organization Name:

Rutgers University

 

Co-Presenter Name(s):

Bala Desinghu, PhD
Senior Scientist
Office of Advanced Research Computing (OARC)

 

Area of the World from Which You Will Present:

USA

 

Language in Which You Will Present:

English

 

Target Audience(s):

Librarians, archivists, digital resource managers, and humanities and social science researchers

 

Short Session Description (one line):

What AI can do with manuscript collections

 

Full Session Description:

This session presents the results of a year-long study applying AI tools to the William Elliot Griffis collection at Rutgers University Libraries. Twenty-seven software tools and environments were tested on untranscribed handwritten journals, typewritten documents, and photographs. The tools produced narrative descriptions, identified hidden patterns, and suggested new ways to organize the material. Session attendees will come away with knowledge of what types of AI tools are available that are relevant to manuscript collections, some of the processes involved in their use, and their comparative strengths and weaknesses. The purpose of the session is to provide an understanding of practical ways that AI can improve access and enhance discovery of distinctive collections.

 

Websites / URLs Associated with Your Session:

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Replies

  • So interesting! Would help a lot with my own research :D

  • This is fantastic!

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