Data Science, Analytics, and Visualization
Harnessing the potential of data science for world-changing social applications.
Research Projects
Opera on the Nation’s Stage
Principal Investigator(s): Jessica Grimmer
Funder: Music Library Association (MLA) Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Digital Humanities
This project examines the history of opera in Washington, D.C., using digital humanities methods and a new “narrative bibliography” to map its artistic and cultural networks.
Principal Investigator(s): Jessica Grimmer
Funder: Music Library Association (MLA) Other Non-Federal
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Digital Humanities
This project examines the history of opera in Washington, D.C., using digital humanities methods and a new “narrative bibliography” to map its artistic and cultural networks.
Postdoctoral Fellowship: STEMEdIPRF: SAGE4ICE: Student Analogy Generation Empowerment for Computing Education
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Future of Work > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
This project develops classroom activities, digital scaffolding tools, and an online library to guide students in creating effective analogies for learning computing concepts. By improving comprehension and persistence in introductory courses, the project aims to broaden participation and strengthen the pipeline of future computing professionals.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Future of Work > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
This project develops classroom activities, digital scaffolding tools, and an online library to guide students in creating effective analogies for learning computing concepts. By improving comprehension and persistence in introductory courses, the project aims to broaden participation and strengthen the pipeline of future computing professionals.
P3 (Pregnancy and Postpartum/Preconception) EQUATE (Enhancing Access and Quality to Achieve Equitable Maternal and Infant Health) Network
Principal Investigator(s): Jasmine Garland McKinney
Funder: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
Principal Investigator(s): Jasmine Garland McKinney
Funder: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
Faculty
Recent News
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New International AI Safety Update Warns of Rapidly Evolving Risks
INFO’s Lee J. Tiedrich helps lead global efforts to address rapidly evolving AI risks in safety, cybersecurity and policy
UMD researchers and educators are working to improve AI and to understand how the technology is transforming the ways we teach, learn and prepare for an AI-driven world. (Illustration by iStock) via Maryland Today
Maryland Today: Spotlight on AI: UMD Transforms Every Stage of Education
INFO’s Wei Ai co-leads a UMD project using AI to enhance K–12 math instruction and teacher development
Photo licensed by Adobe Stock via FEEZAN ALI