Research Projects

Funder: National Science Foundation

When Does Encouraging Diverse Initial Solutions Lead to Better Final Solutions?
Principal Investigator(s): Joel Chan
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization
Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.
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.
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.
WIN: a Window Into Neuroregulation
Principal Investigator(s): Richard Marciano Greg Jansen
Funder: National Science Foundation
Research Areas: Computational Archival Science > Data Science, Analytics, and Visualization > Youth Experience, Learning, and Digital Practices
Creating technology and best practices for conducting science that is situated in the classroom setting with the purpose of better understanding children's ability to self-regulate when presented with challenges, which seem to be ever-increasing in our digital era society.
Improving Data Discovery at the National Anthropological Archives: Pilot Study and National Survey
Principal Investigator(s): Diana E. Marsh
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Library and Information Science
Based on a three-year fellowship supported by the National Science Foundation, this research seeks to improve the discovery of anthropological archives for users. Current work includes exploring data reuse based on a national survey undertaken in 2018-2019 with the Association of Tribal Archives, Libraries, and Museums and the American Anthropological Association.
SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
Principal Investigator(s): Vanessa Frias-Martinez
Funder: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Data Science, Analytics, and Visualization > Smart Cities and Connected Communities
Improving public transit for lower-income individuals - who often endure complex, lengthy trips - by providing a methods, guidelines, and a toolkit to identify and characterize the challenges typical of such complex trips.