Library and Information Science
Contributing groundbreaking innovation and thought-leadership to library and information science.
Research Projects
Ready Now: Supporting Youth and Families During Crisis
Principal Investigator(s): Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Library and Information Science
Principal Investigator(s): Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Library and Information Science
Investigating the Information Practices of COVID Long-Haulers
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: UMD Impact Award - Pandemic Readiness Initiative: https://research.umd.edu/pri Other
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Principal Investigator(s): Beth St. Jean Twanna Hodge Jane Behre J. Nicole Miller
Funder: UMD Impact Award - Pandemic Readiness Initiative: https://research.umd.edu/pri Other
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
This project investigates the information needs, practices, and experiences of people who have long COVID ("COVID long-haulers") in order to learn more about their COVID-related information needs, the ways in which they have gone about fulfilling these needs, and their information-related experiences. W
Testbed for the Redlining Archives of California’s Exclusionary Spaces (T-RACES)
Principal Investigator(s): Richard Marciano
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.
Principal Investigator(s): Richard Marciano
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.
Faculty
Recent News
(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
Kevin Beverly
A Storied Career of Transforming Global Health Through Data
A profile of MLS alumnus Kevin Beverly, UMD INFO College graduate
Photo by Jonathan Weiss/Getty Images