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
Bringing to light an unseen collection of urban home renewal documents and digitally curating them in an effort to better understand the displacement of minority communities due to modern renovation.
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
Tackling youth digital literacy education through an innovative art exercise, revealing a pervasive lack of understanding of Google and search engines by youth.
Principal Investigator: Joel Chan
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Principal Investigator: Hal Duame
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: 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
Natural disasters, economic crises, or violent events are some of the shocks that affect many communities every year, forcing them to change their routine behaviors, and to quickly adapt to new conditions. Understanding the changes in human mobility patterns and community resilience when shocks take place is critical to design adequate preparedness and response policies.
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: Katie Shilton
Research Areas: Data Privacy and Sociotechnical Cybersecurity, Data Science, Analytics, and Visualization, Information Justice, Human Rights, and Technology Ethics
Mobile data are one of the fastest emerging forms of personal data. Ensuring the privacy and security of these data are critical challenges for the mobile device ecosystem. Mobile applications are easy to build and distribute, and can collect a large variety of sensitive personal data.