Archival Science

Advancing how we build and curate archives through co-design with communities, computational science, and other emerging methodology.

Research Projects

Mapping Inequality — Redlining in New Deal America
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science
Providing online access to the totality of the maps and neighborhood descriptions for the national redlining collection.
Testbed for the Redlining Archives of California’s Exclusionary Spaces (T-RACES)
Principal Investigator(s): Richard Marciano
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Library and Information Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Making publicly accessible online documents relating to the practice of “redlining” neighborhoods in the 1930s and 1940s in eight California cities. “Redlining” refers to the practice of flagging minority neighborhoods as undesirable for home loans. The project creates a searchable database and interactive map interface.

Staff

Recent News

Image of many dots plotted on a screen representing a knowledge graph for Ashville NC Southside owners harmed by urban renewal

Knowledge graph for Southside owners harmed by urban renewal, by Nick de Raet

UMD Students Studying Archival Technology & AI Make Real-World Impact

19 UMD students participating in AICollaboratory summer courses aid Asheville Reparations Commission
The word "CAFe" in bold black outline.

(Video) CAFe Presents: Imagining Decolonial Archival Futures

Featuring historian and archivist Krista McCracken and research analyst Skylee-Storm Hogan-Stacey