Research Projects
Additive Manufacturing Digital Curation and Data Management
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office: Army Research Lab (ARL) Other
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization
Exploring digital curation, data management, data mining, and the development of a digital asset management system for Additive Manufacturing
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office: Army Research Lab (ARL) Other
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization
Exploring digital curation, data management, data mining, and the development of a digital asset management system for Additive Manufacturing
Advancing Personal Informatics through Semi-Automated Tracking
Principal Investigator(s): Eun Kyoung Choe
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > 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
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > 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.
CHS: Medium: Collaborative Research: Teachable Activity Trackers for Older Adults
Principal Investigator(s): Eun Kyoung Choe
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Human-Computer Interaction
Pushing the boundaries of how personal tracking devices, such as smart watches, can better support older adults---by identifying what health/activities data would be most useful for older adults if tracked, how to collect/track this data, and utilizing this information to develop a new personalized, multimodal activity tracker.
Principal Investigator(s): Eun Kyoung Choe
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Human-Computer Interaction
Pushing the boundaries of how personal tracking devices, such as smart watches, can better support older adults---by identifying what health/activities data would be most useful for older adults if tracked, how to collect/track this data, and utilizing this information to develop a new personalized, multimodal activity tracker.
Collaboration in the Future of Work: Developing Playable Case Studies to Improve STEM Career Pathways
Principal Investigator(s): Elizabeth M. Bonsignore
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Youth Experience, Learning, and Digital Practices
Developing role playing computer games for the classroom to encourage STEM learning. Students can collaborate with each other and fictional characters in an authentic scenario using a multimedia interface supported by chatbots, videoconferencing, and interactive STEM tools.
Principal Investigator(s): Elizabeth M. Bonsignore
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Youth Experience, Learning, and Digital Practices
Developing role playing computer games for the classroom to encourage STEM learning. Students can collaborate with each other and fictional characters in an authentic scenario using a multimedia interface supported by chatbots, videoconferencing, and interactive STEM tools.
Collaborative Research: Impacts of Hard/Soft Skills on STEM Workforce Trajectories
Principal Investigator(s):
Research Areas: Data Science, Analytics, and Visualization > Future of Work
Principal Investigator(s):
Research Areas: Data Science, Analytics, and Visualization > Future of Work
CRII: CHS: Investigating Multilingual Teams Communication and Collaborative Writing
Principal Investigator(s): Ge Gao
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Information Justice, Human Rights, and Technology Ethics > Youth Experience, Learning, and Digital Practices
This project investigates new ways to create grounding in multilingual teams engaged in collaborative writing. It will improve understanding and develop new tools.
Principal Investigator(s): Ge Gao
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Information Justice, Human Rights, and Technology Ethics > Youth Experience, Learning, and Digital Practices
This project investigates new ways to create grounding in multilingual teams engaged in collaborative writing. It will improve understanding and develop new tools.
Digital Curation Fellows Program – National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funder: USDA Agricultural Research Service
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization > Library and Information Science
The Digital Curation Fellows program is a partnership with the National Agricultural Library (NAL) to provide students from across all iSchool programs with research and practical experience solving real-world digital curation challenges. Digital curation fellows have contributed to numerous initiatives during this program’s several-year history, such as developing digital preservation plans, researching user experience, evaluating metadata quality, assessing diversity and equity of representation in digital collections, building new digital archives, and creating data analytics dashboards.
Principal Investigator(s): Katrina Fenlon
Funder: USDA Agricultural Research Service
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization > Library and Information Science
The Digital Curation Fellows program is a partnership with the National Agricultural Library (NAL) to provide students from across all iSchool programs with research and practical experience solving real-world digital curation challenges. Digital curation fellows have contributed to numerous initiatives during this program’s several-year history, such as developing digital preservation plans, researching user experience, evaluating metadata quality, assessing diversity and equity of representation in digital collections, building new digital archives, and creating data analytics dashboards.
III: Small: DataWorld: Externalizing Hidden Data Flows for Anywhere Analytics
Principal Investigator(s): Niklas Elmqvist
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
Building an augmented-reality DataWorld using hidden troves of data (from social media, the census, public databases, and more) to help professionals, policymakers, and citizens in there every day life---from house hunting by walking through the neighborhood and getting pop-up facts about the area to getting event and safety updates as you walk through a college campus.
Principal Investigator(s): Niklas Elmqvist
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
Building an augmented-reality DataWorld using hidden troves of data (from social media, the census, public databases, and more) to help professionals, policymakers, and citizens in there every day life---from house hunting by walking through the neighborhood and getting pop-up facts about the area to getting event and safety updates as you walk through a college campus.
Inclusive ICT RERC
Principal Investigator(s): Gregg Vanderheiden J. Bern Jordan Hernisa Kacorri Amanda Lazar Jonathan Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics
Ensuring that existing information and communication technologies (ICT) solutions for people with disabilities are known, effective, findable, more affordable, and available on every computer or digital technology platform; and exploring the emerging next-next-generation interface technologies for which there are no effective accessibility guidelines or standards, and problem-solving in advance of these technologies.
Principal Investigator(s): Gregg Vanderheiden J. Bern Jordan Hernisa Kacorri Amanda Lazar Jonathan Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics
Ensuring that existing information and communication technologies (ICT) solutions for people with disabilities are known, effective, findable, more affordable, and available on every computer or digital technology platform; and exploring the emerging next-next-generation interface technologies for which there are no effective accessibility guidelines or standards, and problem-solving in advance of these technologies.
Maryland Sports Data Analytics Camps for Youth
Principal Investigator(s): Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Youth Experience, Learning, and Digital Practices
Advancing knowledge of informal learning experiences that build adolescents' motivation for participation in STEM courses and careers, with a specific focus on introducing middle school African American and Latinx youth to the world of sports data analytics through events and summer camps.
Principal Investigator(s): Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Youth Experience, Learning, and Digital Practices
Advancing knowledge of informal learning experiences that build adolescents' motivation for participation in STEM courses and careers, with a specific focus on introducing middle school African American and Latinx youth to the world of sports data analytics through events and summer camps.
Piloting an Online National Collaborative Network for Integrating Computational Thinking into Library and Archival Education and Practice
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Computational Archival Science > Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
Piloting an online national collaborative network of educators and practitioners to enable the sharing and dissemination of computational case studies and lesson plans through an open source, cloud-based interactive platform based on Jupyter Notebooks.
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Computational Archival Science > Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
Piloting an online national collaborative network of educators and practitioners to enable the sharing and dissemination of computational case studies and lesson plans through an open source, cloud-based interactive platform based on Jupyter Notebooks.
SaTC: CORE: Medium: Collaborative: BaitBuster 2.0: Keeping Users Away From Clickbait
Principal Investigator(s): Naeemul Hassan
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Privacy and Sociotechnical Cybersecurity > Data Science, Analytics, and Visualization > Social Networks and Online Communities
Developing novel techniques - through the application of state-of-the-art machine learning - to detect various forms of clickbait, especially video-based clickbait, and study user behavior on social media to design effective warning systems.
Principal Investigator(s): Naeemul Hassan
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Privacy and Sociotechnical Cybersecurity > Data Science, Analytics, and Visualization > Social Networks and Online Communities
Developing novel techniques - through the application of state-of-the-art machine learning - to detect various forms of clickbait, especially video-based clickbait, and study user behavior on social media to design effective warning systems.