Principal Investigator: Myeong Lee, Shiyun Chen, Yuheng Zhang
Research Areas: Computational Archival Science, Data Science, Analytics, and Visualization, Digital Humanities, Information Justice, Human Rights, and Technology Ethics, Social Networks and Online Communities
The urban renewal project was a national effort in the 1960s and 1970s to transform “blighted” neighborhoods into living spaces such as public housing and modern amenities with an emphasis on economic values.
Principal Investigator: Beth St. Jean
Research Areas: Data Privacy and Sociotechnical Cybersecurity, Human-Computer Interaction, Information Justice, Human Rights, and Technology Ethics, Social Networks and Online Communities, Youth Experience, Learning, and Digital Practices
Although youth are increasingly going online to fulfill their needs for information, many youth struggle with information and digital literacy skills, such as the abilities to conduct a search and assess the credibility of online information. In order to investigate youths’ conceptions of the Google search engine, a drawing activity was conducted with 26 HackHealth after-school program participants to elicit their mental models of Google.
Principal Investigator: Joel Chan
This project investigates how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Principal Investigator: Eun Kyoung Choe
Research Areas: Accessibility and Inclusive Design, Data Science, Analytics, and Visualization, Health Informatics, Human-Computer Interaction
Self-monitoring for older adults and surgical patients can be difficult but beneficial–increased awareness, reduced negative behaviors, goal setting. This research looks at whether combining manual and automatic tracking (semi-automated tracking) can promote user engagement while reducing user burden for the best data collection.
Principal Investigator: Andrea Wiggins
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval, Data Science, Analytics, and Visualization, Library and Information Science, Smart Cities and Connected Communities
Citizen science is a form of collaboration that engages non-professionals as contributors to scientific research, typically through the processes of gathering, transforming or analyzing data.
Principal Investigator: Jennifer J. Preece
Research Areas: Data Science, Analytics, and Visualization, Information Justice, Human Rights, and Technology Ethics, Social Networks and Online Communities, Youth Experience, Learning, and Digital Practices
This project engages members of racially and economically diverse communities in identifying and carrying out environmental projects that are meaningful to their lives, and adapts technology known as NatureNet to assist them. NatureNet, which encompasses a cell phone app, a multi-user, touch-based tabletop display and a web-based community, was developed with prior NSF support.
Principal Investigator: Ricardo L. Punzalan
Research Areas: Computational Archival Science, Data Science, Analytics, and Visualization, Digital Humanities, Social Networks and Online Communities
Dr. Punzalan has been actively pursuing research that to help libraries, archives, and museums better document and assess the impact of access to their digitized ethnographic archives.
Drawing on an exploratory study involving 15 semi-structured in-depth interviews with individuals who have chronic health conditions, this study investigates their experiences searching for information on local resources to manage their health more effectively.
Principal Investigator: Xiaoyun Huang
Research Areas: Computational Archival Science, Library and Information Science, Social Networks and Online Communities
In most systems, the digital footprints people leave behind are archived by default, whether it’s a message sent in Facebook’s Messenger app or every edit made on a Google Doc. Automatic archiving supports collaboration, provides backup or evidence when needed, helps people reminisce, and supports reflection.
Human milk (HM) is regarded as optimal nutrition for infants and the perfect version of milk for the first years of life.
Principal Investigator: Mega M. Subramaniam
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval, Library and Information Science
This project responds to the IMLS National Leadership Grants for Libraries (funding category: Research in Service to Practice), focusing specifically on helping library staff evaluate and improve computational thinking (CT) programming for youth (ages 11-18).
Principal Investigator: Vanessa Frias-Martinez
This project envisions mobile cyber-physical systems (CPS) where people carrying cell phones generate large amounts of location information that is used to sense, compute and monitor human interactions with the physical environment during environmental dislocations.
Principal Investigator: Niklas Elmqvist
Research Areas: Human-Computer Interaction, Smart Cities and Connected Communities, Data Science, Analytics, and Visualization
This project seeks to learn how we can use the existing ecosystem of networked devices in our surroundings to make sense of and exploit massive, heterogeneous, and multi-scale data anywhere and at any time.
Principal Investigator: Katie Shilton
Research Areas: Data Privacy and Sociotechnical Cybersecurity, Data Science, Analytics, and Visualization, Information Justice, Human Rights, and Technology Ethics
This project will study academic and commercial software research and development (R&D) to discover factors that encourage discussion and action on ethical challenges.
Principal Investigator: Katie Shilton
Research Areas: Data Privacy and Sociotechnical Cybersecurity, Information Justice, Human Rights, and Technology Ethics
Computer security researchers navigate ethical dilemmas about how to use big data and shared networked resources to discover vulnerabilities; how to safely expose vulnerabilities; and how to best ensure that vulnerabilities are fixed.