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Computational Archival Science: A Paradigm Shift Across the Data

July 6 @ 12:00 pm - 1:30 pm EDT

4:00pm – 5:30pm GMT

A 1.5 hour presentation and discussion on “computing the archives” with an introduction by Richard Marciano and Jane Greenberg on Computational Archival Science for archival and library students, followed by students (doctoral & MLIS) who will illustrate their CAS experiences working on two projects: (1) an 8-week project that led to a 2-day UK-US datathon with the Legacy of Slavery data from the Maryland State Archives [see: https://ai-collaboratory.net/projects/legacy-of-slavery/student-led-datathon-at-the-maryland-state-archives/ for a link to the Fall 2019 event], and (2) application of AI Machine Learning and OCR to WWII FDR Presidential Library diaries.

The webinar is co-sponsored by CLIR, and co–hosted by Oklahoma State University Emerging Technologies & Creativity Research Lab, and led by postdoctoral fellows Rebecca Y. Bayeck, Schomburg Center for Research in Black Culture & Azure Stewart, New York University, as part of “CLIR’s Emerging Technologies, Big Data & Archives” series.

RSVP at https://sites.google.com/view/emergtechbigdatarchives/project-home

Organizers: Richard Marciano and Jane Greenberg

Details

Date:
July 6
Time:
12:00 pm - 1:30 pm EDT
Event Category:

Contact

Richard Marciano
Email:
marciano@umd.edu