Data Science, Analytics, and Visualization
Harnessing the potential of data science for world-changing social applications.
Research Projects
Piloting Lab Discourse Graphs for Sustainable Research Communication
Principal Investigator(s): Joel Chan
Funder: The Navigation Fund; Chan Zuckerberg Initiative (CZI) Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project develops tooling for Discourse Graphs, a system enabling researchers to share and build on evidence-based research. Supported by $1.35M from the Chan-Zuckerberg Initiative and Navigation Fund, it collaborates with a PI at UW to enhance research workflows and open-science practices.
Principal Investigator(s): Joel Chan
Funder: The Navigation Fund; Chan Zuckerberg Initiative (CZI) Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project develops tooling for Discourse Graphs, a system enabling researchers to share and build on evidence-based research. Supported by $1.35M from the Chan-Zuckerberg Initiative and Navigation Fund, it collaborates with a PI at UW to enhance research workflows and open-science practices.
E-VERIFY: Task Order 002: Mission Analytics Technology and Research for Innovative eXploitation (MATRIX)
Principal Investigator(s): Cody Buntain
Funder: Parallax Advanced Research Other Federal
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project focuses on developing mathematical and computational methods to advance machine learning and artificial intelligence, with applications that support U.S. Air Force, U.S. Space Force, and Department of Defense personnel.
Principal Investigator(s): Cody Buntain
Funder: Parallax Advanced Research Other Federal
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project focuses on developing mathematical and computational methods to advance machine learning and artificial intelligence, with applications that support U.S. Air Force, U.S. Space Force, and Department of Defense personnel.
Quantum Choreobotics: Democratizing Quantum Computing Through Interactive Dance/ Theater Performance, With On-Body Robots
Principal Investigator(s): Bill Kules
Funder: UMD Funded
Research Areas: Data Science, Analytics, and Visualization > Digital Humanities > Health Informatics > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
UMD researchers Bill Kules and Huaishu Peng are exploring quantum choreobotics, an interactive dance-theater performance where audiences influence robot movements to engage with quantum technology concepts. The project uses art and performance to make complex scientific ideas accessible and thought-provoking for the public.
Principal Investigator(s): Bill Kules
Funder: UMD Funded
Research Areas: Data Science, Analytics, and Visualization > Digital Humanities > Health Informatics > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
UMD researchers Bill Kules and Huaishu Peng are exploring quantum choreobotics, an interactive dance-theater performance where audiences influence robot movements to engage with quantum technology concepts. The project uses art and performance to make complex scientific ideas accessible and thought-provoking for the public.
Faculty
Recent News

Lauren Schirle, MIM '19
Alumni Profile: From Archives to Analytics: How a MIM Alum’s Unconventional Path Shapes Fintech Innovation
A profile of MIM alum Lauren Schirle
Nabintta Blé, InfoSci '18
Alumni Profile: The Creative Journey of Nabintta Blé
An InfoSci alum profile
From leveraging AI for pedestrian safety to creating better touchscreen kiosks, the Maryland Initiative for Digital Accessibility brings together scientists across campus to transform existing and emerging tech for people with disabilities. (Illustration by iStock) Photo via Maryland Today.