Research Projects

Accelerating Cross-Disciplinary Innovation with Computational Analogy
Principal Investigator(s): Joel Chan
Funder: US Office of Naval Research
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Achieving Optimal Motor Function in Stroke Survivors via a Human-Centered Approach to Design an mHealth Platform
Principal Investigator(s): Eun Kyoung Choe
Funder: National Institutes of Health Other
Research Areas: Accessibility and Inclusive Design > Health Informatics > Human-Computer Interaction
Stroke rehabilitation, mHealth, Human-Computer Interaction
Partners: University of Massachusetts Amherst, Spaulding Rehabilitation Hospital, Formsense
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
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.
Capturing Computational Thinking Literacy Development in Public Libraries
Principal Investigator(s): Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Library and Information Science
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: Advancing Remote Collaboration: Inclusive Design for People with Dementia
Principal Investigator(s): Amanda Lazar
Funder: National Science Foundation
Research Areas: Health Informatics > Human-Computer Interaction > Social Networks and Online Communities
Technology increasingly provides opportunities to interact remotely with others. People with cognitive impairment can be excluded from these opportunities when technology is not designed with their needs, preferences, and abilities in mind.
CAREER: Data-driven Models of Human Mobility and Resilience for Decision Making
Principal Investigator(s): Vanessa Frias-Martinez
Funder: 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.
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.
CHS: Small: Collaborative Research: Making Information Deserts Visible: Computational Models, Disparities in Civic Technology Use, and Urban Decision Making
Principal Investigator(s):
Enhancing understanding of how civic technologies are used and how information inequalities manifest in a city by examining Boston's 311 system for reporting non-emergency issues to the city government and then using computational and qualitative approaches to identify, categorize, and understand the kinds of information disparities that are becoming institutionalized.
Collaboration in the Future of Work: Developing Playable Case Studies to Improve STEM Career Pathways
Principal Investigator(s): Philip Piety 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.

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