Research Projects
Libraries, Integration, and New Americans: Understanding immigrant acculturative stress
Principal Investigator(s): Ana Ndumu
Funders: Institute of Museum and Library Services
Research Areas: Information Justice, Human Rights, and Technology Ethics Library and Information Science
Libraries, Integration, and New Americans,” or L.I.N.A., is a three-year research project directed by Dr. Ana Ndumu that will answer the following questions: What is the role of information in immigrant acculturative stress? How does information-related acculturative
stress impact library access? How can libraries help adult immigrants who are overwhelmed by information? Funding from IMLS under the Laura Bush 21st Century Early Career.
Principal Investigator(s): Ana Ndumu
Funders: Institute of Museum and Library Services
Research Areas: Information Justice, Human Rights, and Technology Ethics Library and Information Science
Libraries, Integration, and New Americans,” or L.I.N.A., is a three-year research project directed by Dr. Ana Ndumu that will answer the following questions: What is the role of information in immigrant acculturative stress? How does information-related acculturative
stress impact library access? How can libraries help adult immigrants who are overwhelmed by information? Funding from IMLS under the Laura Bush 21st Century Early Career.
Machine Learning Strategies for FDR Presidential Library Collections (ML-FDR)
Principal Investigator(s): Richard Marciano
Funders: Unfunded Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization Machine Learning, AI, Computational Linguistics, and Information Retrieval
Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.
Principal Investigator(s): Richard Marciano
Funders: Unfunded Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization Machine Learning, AI, Computational Linguistics, and Information Retrieval
Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.
Maryland Institute for Digital Accessibility (MIDA)
Principal Investigator(s): Jonathan Lazar Paul T. Jaeger J. Bern Jordan Galina Madjaroff Reitz
Funders: State of MD
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
Principal Investigator(s): Jonathan Lazar Paul T. Jaeger J. Bern Jordan Galina Madjaroff Reitz
Funders: State of MD
Research Areas: Accessibility and Inclusive Design Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
Measuring the Impact of Urban Renewal
Principal Investigator(s): Richard Marciano
Funders: Unfunded Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization
This is a case study focusing on the legacy of urban renewal in Asheville, North Carolina between 1965 and 1980, when housing policies were enacted that ultimately displaced and erased African American businesses and communities with traumatic and lasting effects. The study focuses on designing new access interfaces to tell human stories. Ongoing results were presented to the Racial Reparations Commission of the City of Asheville on May 20, 2023.
Principal Investigator(s): Richard Marciano
Funders: Unfunded Other Non-Federal
Research Areas: Archival Science Data Science, Analytics, and Visualization
This is a case study focusing on the legacy of urban renewal in Asheville, North Carolina between 1965 and 1980, when housing policies were enacted that ultimately displaced and erased African American businesses and communities with traumatic and lasting effects. The study focuses on designing new access interfaces to tell human stories. Ongoing results were presented to the Racial Reparations Commission of the City of Asheville on May 20, 2023.
Mitigating online COVID misinformation costs: From individual to field interventions
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Social Science Research Council Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project will conduct one of the most systematic tests to date of the welfare effects of altering information environments by decreasing exposure to untrustworthy sources. Researchers will encourage social media users to change the composition of the accounts they follow and measure the effect of this intervention on real-world behavior. This design will provide a building block for future research on the effects of online information exposure on offline behavior.
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Social Science Research Council Other Non-Federal
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
This project will conduct one of the most systematic tests to date of the welfare effects of altering information environments by decreasing exposure to untrustworthy sources. Researchers will encourage social media users to change the composition of the accounts they follow and measure the effect of this intervention on real-world behavior. This design will provide a building block for future research on the effects of online information exposure on offline behavior.
NSF Convergence Accelerator Track J: NourishNet – A Food Recovery Toolbox
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Principal Investigator(s): Vanessa Frias-Martinez
Funders: National Science Foundation
Read, Watch, Play: Development of a Pedagogical Approach and Technical Infrastructure to Build Gamification, Game-Based Learning, and Other Hands-On Projects into Courses across Campus
Principal Investigator(s): Caro Williams-Pierce Andrew Fellows Katherine Izsak Pamela Duffy
Funders: State of MD
Research Areas: Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Caro Williams-Pierce Andrew Fellows Katherine Izsak Pamela Duffy
Funders: State of MD
Research Areas: Youth Experience, Learning, and Digital Practices
Ready Now: Supporting Youth and Families During Crisis
Principal Investigator(s): Mega Subramaniam Nitzan Koren
Funders: Institute of Museum and Library Services
Research Areas: Library and Information Science
Principal Investigator(s): Mega Subramaniam Nitzan Koren
Funders: Institute of Museum and Library Services
Research Areas: Library and Information Science
Reducing the gender gap in AfD discussions: an evidence scoring approach
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Wikimedia Foundation Unfunded
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
Principal Investigator(s): Giovanni Luca Ciampaglia
Funders: Wikimedia Foundation Unfunded
Research Areas: Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
REU Supplement: SCC-IRB Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funders: National Science Foundation
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funders: National Science Foundation
REU Supplement: 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 Jessica Vitak Christopher Antoun
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design Future of Work Human-Computer Interaction Smart Cities and Connected Communities
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design Future of Work Human-Computer Interaction Smart Cities and Connected Communities
SaTC: CORE: Medium: Collaborative: BaitBuster 2.0: Keeping Users Away From Clickbait
Principal Investigator(s): Naeemul Hassan
Funders: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
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
Funders: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Social Networks, Online Communities, and Social Media
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.