Inactive Research Projects
2021 University of Maryland Disability Summit
Principal Investigator(s): Paul T. Jaeger
Research Areas: Accessibility and Inclusive Design
TBA
Principal Investigator(s): Paul T. Jaeger
Research Areas: Accessibility and Inclusive Design
TBA
2023 Including Disability Global Summit
Principal Investigator(s): Paul T. Jaeger
Research Areas: Accessibility and Inclusive Design
The Including Disability Global Summit is a unique event that brings together researchers, educators, practitioners, advocates, family members, and disabled people from across disciplines, professions, types of disability, and national boundaries.
Principal Investigator(s): Paul T. Jaeger
Research Areas: Accessibility and Inclusive Design
The Including Disability Global Summit is a unique event that brings together researchers, educators, practitioners, advocates, family members, and disabled people from across disciplines, professions, types of disability, and national boundaries.
A Leaderboard and Competition for Human–Computer Adversarial QA
Principal Investigator(s): Jordan Boyd-Graber
Funders: Meta Platforms fka Facebook Other Non-Federal
Principal Investigator(s): Jordan Boyd-Graber
Funders: Meta Platforms fka Facebook Other Non-Federal
Accelerating Cross-Disciplinary Innovation with Computational Analogy
Principal Investigator(s): Joel Chan
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Principal Investigator(s): Joel Chan
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Adaptive Heads-up Displays for Simultaneous Interpretation
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design
Spearheading the development of new technology that will aid translators - providing automatic interpretation that is displayed for the translator and is particularly valuable for translating nuanced content.
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design
Spearheading the development of new technology that will aid translators - providing automatic interpretation that is displayed for the translator and is particularly valuable for translating nuanced content.
Advancing Personal Informatics through Semi-Automated Tracking
Principal Investigator(s): Eun Kyoung Choe
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction
Challenging the notion that fully automated health tracking tech is better for users, particularly older adults and surgical patients, since minimal personal tracking engagement is needed. This project examines semi-automated tracking, testing the hypothesis that some self-monitoring results in greater awareness of one's own health and data and better health/behavior outcomes.
Principal Investigator(s): Eun Kyoung Choe
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction
Challenging the notion that fully automated health tracking tech is better for users, particularly older adults and surgical patients, since minimal personal tracking engagement is needed. This project examines semi-automated tracking, testing the hypothesis that some self-monitoring results in greater awareness of one's own health and data and better health/behavior outcomes.
Agricultural Land Use Change in Central and Northwest Thailand: Effects on Biomass Emissions, Soil Quality, and Rural Livelihoods
Principal Investigator(s): Sergii Skakun
Funders: NASA - Goddard Space Flight Center Other Non-Federal
Research Areas: Future of Work Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funders: NASA - Goddard Space Flight Center Other Non-Federal
Research Areas: Future of Work Smart Cities and Connected Communities
AISL: Innovations in Development: Community-Driven Project That Adapt Technology for Environmental Learning in Nature Preserves
Principal Investigator(s): Jennifer J. Preece
Funders: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Social Networks, Online Communities, and Social Media Youth Experience, Learning, and Digital Practices
Engaging members of low-income and minority communities in environmental projects that are meaningful to their lives and can promote informal STEM learning. The researchers will look at how these projects impact participants and identify the key factors that influence the development of such community projects.
Principal Investigator(s): Jennifer J. Preece
Funders: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Social Networks, Online Communities, and Social Media Youth Experience, Learning, and Digital Practices
Engaging members of low-income and minority communities in environmental projects that are meaningful to their lives and can promote informal STEM learning. The researchers will look at how these projects impact participants and identify the key factors that influence the development of such community projects.
An Assessment of Pretrial Risk across Maryland Jurisdictions using Client Legal Utility Enging (CLUE) Data
Principal Investigator(s): Zubin Jelveh
Funders: STMD-Governor's Office of Crime Control & Prevention Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics
With funding from the Maryland Governor's Office of Crime Control and Prevention, the project aims to understand why pretrial detention decisions are made and whether they align with the risk posed by defendants. By analyzing a large dataset of criminal cases, the team will investigate the predictability of pretrial risk and the court's decision-making. The research will provide insights to improve policy and practice, reducing unnecessary detention while ensuring public safety.
Principal Investigator(s): Zubin Jelveh
Funders: STMD-Governor's Office of Crime Control & Prevention Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics
With funding from the Maryland Governor's Office of Crime Control and Prevention, the project aims to understand why pretrial detention decisions are made and whether they align with the risk posed by defendants. By analyzing a large dataset of criminal cases, the team will investigate the predictability of pretrial risk and the court's decision-making. The research will provide insights to improve policy and practice, reducing unnecessary detention while ensuring public safety.
Capturing Computational Thinking Literacy Development in Public Libraries
Principal Investigator(s): Mega Subramaniam
Funders: Institute of Museum and Library Services
Research Areas: Library and Information Science Machine Learning, AI, Computational Linguistics, and Information Retrieval
Identifying the learning outcomes that can be achieved through CT programs for youth offered through libraries and to develop a bank of assessment tools that can be used by public library staff to document and measure CT literacy development in youth as a result of participating in library CT programs.
Principal Investigator(s): Mega Subramaniam
Funders: Institute of Museum and Library Services
Research Areas: Library and Information Science Machine Learning, AI, Computational Linguistics, and Information Retrieval
Identifying the learning outcomes that can be achieved through CT programs for youth offered through libraries and to develop a bank of assessment tools that can be used by public library staff to document and measure CT literacy development in youth as a result of participating in library CT programs.
CAREER: Data-driven Models of Human Mobility and Resilience for Decision Making
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Future of Work
Using cell-phone data to better understand the reactions and movement of people in violent or disaster events, specifically looking at droughts in Haiti, armed conflicts in Colombia, and floods in Bangladesh, with the aim of providing decision makers with data-driven models they can use to create preparedness and response plans.
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Future of Work
Using cell-phone data to better understand the reactions and movement of people in violent or disaster events, specifically looking at droughts in Haiti, armed conflicts in Colombia, and floods in Bangladesh, with the aim of providing decision makers with data-driven models they can use to create preparedness and response plans.
CAREER: Finding Levers for Privacy and Security by Design in Mobile Development
Principal Investigator(s): Katie Shilton
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics
Delving into why app developers have a low rate of prioritizing user data protection by looking at how developers define privacy and security, what would encourage them to prioritize data protection, and how can development tools encourage developers to implement more security features during design.
Principal Investigator(s): Katie Shilton
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics
Delving into why app developers have a low rate of prioritizing user data protection by looking at how developers define privacy and security, what would encourage them to prioritize data protection, and how can development tools encourage developers to implement more security features during design.