Data Science, Analytics, and Visualization

Harnessing the potential of data science for world-changing social applications.

Research Projects

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.
Computational Treatments to re-member the Legacy of Slavery (CT-LoS)
Principal Investigator(s): Richard Marciano
Funder: Unfunded Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics
Using Computational Archival Science to unlock records related to the Legacy of Slavery and provide new point of interaction and analysis.

Recent News

SODA Symposium in black lettering and yellow background

(Video) SoDa Symposium Seed Grant Series: “Do County Demographics Shape Exposure to Cyber Harm?”

Panelists discuss cybersecurity, cyber harm, federal funding programs, and more
UMD Dean's Lecture panelists on stage.

(Video) Dean’s Lecture Series: Game-Changers: Unleashing the Power of Sports Informatics in Athletics

Panelists discuss the game changing unification of sports and data
INFO Alum Kevin Beverly

Kevin Beverly

A Storied Career of Transforming Global Health Through Data

A profile of MLS alumnus Kevin Beverly, UMD INFO College graduate