What: Computational Archival Science: A Paradigm Shift Across the Data [Virtual]
When: July 6 @ 12:00 pm – 1:30 pm EDT, 12:00-1:30 PM EDT
Participation: free/open to all
Registration required for ZOOM link; register @: link
The Emerging Technologies, Big Data & Archives series and the Archival Education and Research Initiative (AERI) will co-host a webinar on computing the archives, led by Richard Marciano (AICollaboratory, University of Maryland) and Jane Greenberg (Metadata Research Center, Drexel University). The session will cover graduate student datathon participation, using the Legacy of Slavery data from Maryland State Archives; and AI/machine learning applied to the WWII FDR Presidential Library diaries. The session will also highlight the connection to Drexel’s LEADS program.
Graduate students include:
- Rajesh Gnanasekaran (UMD)
- Alexis Hill: (UMD)
- Phillip Nicholas (UMD)
- Lori Perine (UMD)
- Sonia Pascua (Drexel, 2019 LEADS Fellow)
- Hanlin Zhang (UNC, 2019 LEADS Fellow)
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.