Research Projects
Filtered by: UMD Funded
From Echo Chambers to Empowerment: Social Media Narratives & School Safety Realities (#3517)
Principal Investigator(s): Celia Chen
Funders: UMD Funded
This project examines the effectiveness and community impact of school safety technologies by analyzing social media discourse and partnering with Prince George’s County public schools. Using mixed methods, including computational text analysis and participatory research, it centers community experiences to inform evidence-based strategies for preventing school shootings and promoting safe learning environments.
Principal Investigator(s): Celia Chen
Funders: UMD Funded
This project examines the effectiveness and community impact of school safety technologies by analyzing social media discourse and partnering with Prince George’s County public schools. Using mixed methods, including computational text analysis and participatory research, it centers community experiences to inform evidence-based strategies for preventing school shootings and promoting safe learning environments.
Human-Like Coaching for Home PT Exercises
Principal Investigator(s): Galina Madjaroff Reitz
Funders: Maryland Industrial Partnerships UMD Funded
Research Areas: Health Informatics Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
Researchers are developing an AI-powered physical therapy coach that uses real-time motion tracking and personalized feedback to improve exercise adherence and outcomes. By simulating human-like interaction and emotional engagement, the project aims to make home-based rehabilitation more effective and accessible.
Principal Investigator(s): Galina Madjaroff Reitz
Funders: Maryland Industrial Partnerships UMD Funded
Research Areas: Health Informatics Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
Researchers are developing an AI-powered physical therapy coach that uses real-time motion tracking and personalized feedback to improve exercise adherence and outcomes. By simulating human-like interaction and emotional engagement, the project aims to make home-based rehabilitation more effective and accessible.
Maryland Institute for Digital Accessibility (MIDA)
Principal Investigator(s): Jonathan Lazar Paul T. Jaeger J. Bern Jordan Galina Madjaroff Reitz Katherine Izsak
Funders: UMD Funded
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
The Maryland Initiative for Digital Accessibility (MIDA) unites UMD researchers, educators, and partners to design “born-accessible” technologies, foster community engagement, and advance digital inclusion.
Principal Investigator(s): Jonathan Lazar Paul T. Jaeger J. Bern Jordan Galina Madjaroff Reitz Katherine Izsak
Funders: UMD Funded
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
The Maryland Initiative for Digital Accessibility (MIDA) unites UMD researchers, educators, and partners to design “born-accessible” technologies, foster community engagement, and advance digital inclusion.
Quantum Choreobotics: Democratizing Quantum Computing Through Interactive Dance/ Theater Performance, With On-Body Robots
Principal Investigator(s): Bill Kules
Funders: 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
Funders: 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.