Research Projects
Mitigating online COVID misinformation costs: From individual to field interventions
Principal Investigator(s): Giovanni Luca Ciampaglia
Funder: Social Science Research Council Other
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
Funder: Social Science Research Council Other
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.
My Creative AI Co-Worker
Principal Investigator(s):
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s):
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
NSF Convergence Accelerator Track J: MidAtlantic Food Resiliency Network – Securing the Future of Food through a Multi-Mindset Approach
Principal Investigator(s): Vanessa Frias-Martinez
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Smart Cities and Connected Communities
The Mid-Atlantic Food Resiliency Network (MFRN) aims to improve food security in the Mid-Atlantic, starting in Prince George’s County. Collaborating across multiple disciplines, the MFRN will develop tools and systems to reduce hunger, waste, and food deserts. Initiatives include understanding food behaviors, repurposing food waste, and training future food security leaders.
Principal Investigator(s): Vanessa Frias-Martinez
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Smart Cities and Connected Communities
The Mid-Atlantic Food Resiliency Network (MFRN) aims to improve food security in the Mid-Atlantic, starting in Prince George’s County. Collaborating across multiple disciplines, the MFRN will develop tools and systems to reduce hunger, waste, and food deserts. Initiatives include understanding food behaviors, repurposing food waste, and training future food security leaders.
NSF INCLUDES Alliance: Re-Imagining STEM Equity Utilizing Postdoctoral Pathways
Principal Investigator(s):
Funder: National Science Foundation
This project is funded by NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES), a comprehensive national initiative to enhance U.S. leadership in discoveries and innovations by focusing on diversity, inclusion and broadening participation in STEM at scale. The Alliance is co-funded by NSF's Alliances for Graduate Education and the Professoriate (AGEP) program, which supports institutional change to advance African American, Hispanic American, Native American Indian, Alaska Native, Native Hawaiian and Native Pacific Islander STEM doctoral candidates, postdoctoral research scholars and faculty toward tenure and promotion in academic institutions.
Principal Investigator(s):
Funder: National Science Foundation
This project is funded by NSF Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES), a comprehensive national initiative to enhance U.S. leadership in discoveries and innovations by focusing on diversity, inclusion and broadening participation in STEM at scale. The Alliance is co-funded by NSF's Alliances for Graduate Education and the Professoriate (AGEP) program, which supports institutional change to advance African American, Hispanic American, Native American Indian, Alaska Native, Native Hawaiian and Native Pacific Islander STEM doctoral candidates, postdoctoral research scholars and faculty toward tenure and promotion in academic institutions.
Piloting an Online National Collaborative Network for Integrating Computational Thinking into Library and Archival Education and Practice
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Piloting an online national collaborative network of educators and practitioners to enable the sharing and dissemination of computational case studies and lesson plans through an open source, cloud-based interactive platform based on Jupyter Notebooks.
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Piloting an online national collaborative network of educators and practitioners to enable the sharing and dissemination of computational case studies and lesson plans through an open source, cloud-based interactive platform based on Jupyter Notebooks.
PIPP Phase I: Evaluating the Effectiveness of Messaging and Modeling During Pandemics (PandEval)
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The PandEval project aims to enhance pandemic response by utilizing diverse data sources, including social media insights and real-life behavior tracking. It seeks to improve public health messaging and localized policies, with customized epidemiological models. The project's innovation lies in creating a Pand-Index, aiding individual decisions on measures like social distancing.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The PandEval project aims to enhance pandemic response by utilizing diverse data sources, including social media insights and real-life behavior tracking. It seeks to improve public health messaging and localized policies, with customized epidemiological models. The project's innovation lies in creating a Pand-Index, aiding individual decisions on measures like social distancing.
Professor of the Practice
Principal Investigator(s): Jason R. Baron Douglas W. Oard
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Memorandum of Understanding With MITRE Corporation. Collaborative research on methods of artificial intelligence used to improve administration of the Freedom of Information Act.
Principal Investigator(s): Jason R. Baron Douglas W. Oard
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Memorandum of Understanding With MITRE Corporation. Collaborative research on methods of artificial intelligence used to improve administration of the Freedom of Information Act.
RERC on Universal Access to ICT
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
SaTC: CORE: Medium: Collaborative: BaitBuster 2.0: Keeping Users Away From Clickbait
Principal Investigator(s): Naeemul Hassan
Funder: 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
Funder: 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.
SaTC: EDU: Collaborative: Connecting Contexts: Building Foundational Digital Privacy and Security Skills for Elementary School Children, Teachers, and Parents
Principal Investigator(s): Jessica Vitak Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
Promoting elementary school children's privacy/cybersecurity learning across the two contexts where they spend most of their time, home and school, through the creation of curriculum and related educational materials tailored to grade level.
Principal Investigator(s): Jessica Vitak Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
Promoting elementary school children's privacy/cybersecurity learning across the two contexts where they spend most of their time, home and school, through the creation of curriculum and related educational materials tailored to grade level.
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.
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.
Spectrum Doctoral Fellowship Program: Catalysts for Change
Principal Investigator(s): Eun Kyoung Choe
Funder: American Library Association Other
Research Areas: Library and Information Science
Through the Spectrum Scholarship Program, ALA advances racial equity by connecting new generations of racially and ethnically diverse librarians with a network committed to mutual support, advancing one another’s leadership, and making social justice part of everybody's everyday work.
Principal Investigator(s): Eun Kyoung Choe
Funder: American Library Association Other
Research Areas: Library and Information Science
Through the Spectrum Scholarship Program, ALA advances racial equity by connecting new generations of racially and ethnically diverse librarians with a network committed to mutual support, advancing one another’s leadership, and making social justice part of everybody's everyday work.