Research Projects
SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Smart Cities and Connected Communities
Improving public transit for lower-income individuals - who often endure complex, lengthy trips - by providing a methods, guidelines, and a toolkit to identify and characterize the challenges typical of such complex trips.
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Smart Cities and Connected Communities
Improving public transit for lower-income individuals - who often endure complex, lengthy trips - by providing a methods, guidelines, and a toolkit to identify and characterize the challenges typical of such complex trips.
Semantic Foundations and Formal Methods for Evolutionary System-of-Systems
Principal Investigator(s): Jennifer Golbeck
Funders: DoD-Defense
Principal Investigator(s): Jennifer Golbeck
Funders: DoD-Defense
Systematically Documenting New Sociotechnical Foundations for Research Synthesis Infrastructures
Principal Investigator(s): Joel Chan
Funders: Alfred P. Sloan Foundation Other Non-Federal
Principal Investigator(s): Joel Chan
Funders: Alfred P. Sloan Foundation Other Non-Federal
TechBridge: Fostering Digital Literacy and Intergenerational Connection in Montgomery County
Principal Investigator(s): Galina Madjaroff Reitz
Funders: State of MD
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Galina Madjaroff Reitz
Funders: State of MD
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Youth Experience, Learning, and Digital Practices
Testbed for the Redlining Archives of California’s Exclusionary Spaces (T-RACES)
Principal Investigator(s): Richard Marciano
Funders: Unfunded
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
Funders: Unfunded
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.
UMD INFO College Fellows Program at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funders: US Department of Agriculture
Research Areas: Archival Science Digital Humanities Library and Information Science Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Katrina Fenlon
Funders: US Department of Agriculture
Research Areas: Archival Science Digital Humanities Library and Information Science Youth Experience, Learning, and Digital Practices
University of Maryland College of Information Studies Fellows Program at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funders: US Department of Agriculture
Principal Investigator(s): Katrina Fenlon
Funders: US Department of Agriculture