Machine Learning Strategies for FDR Presidential Library Collections (ML-FDR)

Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.

Duration:
01/01/2021 - Present

Principal Investigator(s):

• Richard Marciano

Additional UMD Investigator(s):
William Bill Underwood (INFO)

Additional Non-UMD Investigator(s):
Kirsten Carter (FDR Presidential Library & Museum)

Partnering Organization(s):
Franklin D. Roosevelt Presidential Library & Museum

Project Website:
https://ai-collaboratory.net/projects/ml-fdr/

Research Funder:

• Unfunded

Research Areas:

• Archival Science
• Data Science, Analytics, and Visualization
• Machine Learning, AI, Computational Linguistics, and Information Retrieval

Center and Lab Affiliation:

• Advanced Information Collaboratory (AIC)