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
Adaptive Heads-up Displays for Simultaneous Interpretation
Principal Investigator(s):
Funder: 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.
Principal Investigator(s):
Funder: 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.
Agricultural Land Use Change in Central and Northwest Thailand: Effects on Biomass Emissions, Soil Quality, and Rural Livelihoods
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
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
Funder: 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
Funder: 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.
CAREER: Finding Levers for Privacy and Security by Design in Mobile Development
Principal Investigator(s): Katie Shilton
Funder: 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
Funder: 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.
CAREER: Ubilytics: Harnessing Existing Device Ecosystems for Anywhere Sensemaking
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Smart Cities and Connected Communities
Proposing a comprehensive new approach called ubiquitous analytics (ubilytics) for harnessing ever-present digital devices into unified environments for anywhere analysis and sensemaking of data. Looking at applications for scientific discovery, classroom learning, and police investigation.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Smart Cities and Connected Communities
Proposing a comprehensive new approach called ubiquitous analytics (ubilytics) for harnessing ever-present digital devices into unified environments for anywhere analysis and sensemaking of data. Looking at applications for scientific discovery, classroom learning, and police investigation.
CCE STEM: Finding Practices that Cultivate Ethical Computing in Mobile and Wearable Application Research & Development
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics
Looking at mobile and wearable app development to discover factors that encourage discussion and action on ethical challenges amongst developers. Findings will be incorporated into curriculum for students in mobile app courses, and the impact on ethics education will be evaluated.
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics
Looking at mobile and wearable app development to discover factors that encourage discussion and action on ethical challenges amongst developers. Findings will be incorporated into curriculum for students in mobile app courses, and the impact on ethics education will be evaluated.
CCE STEM: Standard: Collaborative: The Development of Ethical Cultures in Computer Security Research
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Information Justice, Human Rights, and Technology Ethics
Examining how computer security researchers navigate ethical dilemmas when using big data and shared network resources to expose vulnerabilities - from ethical self-regulation to the sharing of ethics expectations in research communities.
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Information Justice, Human Rights, and Technology Ethics
Examining how computer security researchers navigate ethical dilemmas when using big data and shared network resources to expose vulnerabilities - from ethical self-regulation to the sharing of ethics expectations in research communities.
Center For Excellence in Human Language Technology
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Human-Computer Interaction
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Human-Computer Interaction
Center for Excellence in Human Language Technology (COE HLT) TTO8.16-21
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Exploring highly innovative technologies to automatically analyze a wide range of speech, text, and document data in multiple languages.
Principal Investigator(s): Douglas W. Oard
Funder: Johns Hopkins University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Exploring highly innovative technologies to automatically analyze a wide range of speech, text, and document data in multiple languages.
CHS: Small: Collaborative Research: Toolkits for Aging in Place for Older Retirees (TAIPOR)
Principal Investigator(s): Amanda Lazar
Funder: National Science Foundation
Research Areas: Health Informatics > Human-Computer Interaction
Principal Investigator(s): Amanda Lazar
Funder: National Science Foundation
Research Areas: Health Informatics > Human-Computer Interaction
CHS: Small: Innovation Through Analogical Search
Principal Investigator(s): Joel Chan
Funder: Carnegie Mellon University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Building computational tools enabling users to connect problems in one field with solutions from another field, i.e. facilitate searching for analogies drawn from one domain to help with innovative thinking and reasoning in another domain.
Principal Investigator(s): Joel Chan
Funder: Carnegie Mellon University Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Building computational tools enabling users to connect problems in one field with solutions from another field, i.e. facilitate searching for analogies drawn from one domain to help with innovative thinking and reasoning in another domain.