Inactive Research Projects
III: Small: DataWorld: Externalizing Hidden Data Flows for Anywhere Analytics
Funders: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Library and Information Science Machine Learning, AI, Computational Linguistics, and Information Retrieval
Building an augmented-reality DataWorld using hidden troves of data (from social media, the census, public databases, and more) to help professionals, policymakers, and citizens in there every day life---from house hunting by walking through the neighborhood and getting pop-up facts about the area to getting event and safety updates as you walk through a college campus.
Funders: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Library and Information Science Machine Learning, AI, Computational Linguistics, and Information Retrieval
Building an augmented-reality DataWorld using hidden troves of data (from social media, the census, public databases, and more) to help professionals, policymakers, and citizens in there every day life---from house hunting by walking through the neighborhood and getting pop-up facts about the area to getting event and safety updates as you walk through a college campus.
III: Small: Improving Technical Paper Database Search through Math-aware Search Engines
Principal Investigator(s): Douglas W. Oard
Funders: Rochester Institute of Technology Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Library and Information Science
Principal Investigator(s): Douglas W. Oard
Funders: Rochester Institute of Technology Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Library and Information Science
III:Small:Safely Searching Among Sensitive Content
Principal Investigator(s): Douglas W. Oard Katie Shilton
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Library and Information Science
Today's search engines are designed principally to help people find what they want to see. Paradoxically, the fact that search engines do this well means that there are many collections that can't be searched.
Principal Investigator(s): Douglas W. Oard Katie Shilton
Funders: National Science Foundation
Research Areas: Data Privacy and Sociotechnical Cybersecurity Data Science, Analytics, and Visualization Information Justice, Human Rights, and Technology Ethics Library and Information Science
Today's search engines are designed principally to help people find what they want to see. Paradoxically, the fact that search engines do this well means that there are many collections that can't be searched.
Improving Data Discovery at the National Anthropological Archives: Pilot Study and National Survey
Principal Investigator(s): Diana E. Marsh
Funders: 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.
Principal Investigator(s): Diana E. Marsh
Funders: 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.
Improving Fedora 4 to Work with Web-Scale Storage and Services
Principal Investigator(s): Richard Marciano
Funders: Institute of Museum and Library Services
Research Areas: Archival Science
The Digital Curation Innovation Center plans to improve the performance and scalability of the Fedora Repository for the Fedora community by researching, developing, and testing software architectures.
Principal Investigator(s): Richard Marciano
Funders: Institute of Museum and Library Services
Research Areas: Archival Science
The Digital Curation Innovation Center plans to improve the performance and scalability of the Fedora Repository for the Fedora community by researching, developing, and testing software architectures.
Inclusive ICT RERC
Principal Investigator(s): Gregg Vanderheiden J. Bern Jordan Hernisa Kacorri Amanda Lazar Jonathan Lazar
Funders: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other Non-Federal
Research Areas: Accessibility and Inclusive Design Data Science, Analytics, and Visualization Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
Ensuring that existing information and communication technologies (ICT) solutions for people with disabilities are known, effective, findable, more affordable, and available on every computer or digital technology platform; and exploring the emerging next-next-generation interface technologies for which there are no effective accessibility guidelines or standards, and problem-solving in advance of these technologies.
Principal Investigator(s): Gregg Vanderheiden J. Bern Jordan Hernisa Kacorri Amanda Lazar Jonathan Lazar
Funders: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other Non-Federal
Research Areas: Accessibility and Inclusive Design Data Science, Analytics, and Visualization Human-Computer Interaction Information Justice, Human Rights, and Technology Ethics
Ensuring that existing information and communication technologies (ICT) solutions for people with disabilities are known, effective, findable, more affordable, and available on every computer or digital technology platform; and exploring the emerging next-next-generation interface technologies for which there are no effective accessibility guidelines or standards, and problem-solving in advance of these technologies.
INFACT: The Inclusion of Neurodiversity in Foundations and Applications of Computational Thinking
Principal Investigator(s): David Weintrop
Funders: TERC Other Non-Federal
Research Areas: Accessibility and Inclusive Design Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): David Weintrop
Funders: TERC Other Non-Federal
Research Areas: Accessibility and Inclusive Design Machine Learning, AI, Computational Linguistics, and Information Retrieval
Integrating Computing into Urban Elementary Mathematics Classrooms as a Means to Bring Computational Thinking to All
Principal Investigator(s): David Weintrop
Funders: National Academy of Education Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funders: National Academy of Education Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Youth Experience, Learning, and Digital Practices
Integrating Immigrants Into the LIS Workforce: A Pilot, Collaborative Project
Principal Investigator(s): Ana Ndumu
Funders: Association for Library and Information Science Education (ALISE) Other Non-Federal
Research Areas: Information Justice, Human Rights, and Technology Ethics Library and Information Science
Introducing refugees and immigrants to library professions through a self-paced mini-course as part of a one-year pilot in partnership with the REFORMA Mid-Atlantic Chapter and Prince George’s Public Library System.
Principal Investigator(s): Ana Ndumu
Funders: Association for Library and Information Science Education (ALISE) Other Non-Federal
Research Areas: Information Justice, Human Rights, and Technology Ethics Library and Information Science
Introducing refugees and immigrants to library professions through a self-paced mini-course as part of a one-year pilot in partnership with the REFORMA Mid-Atlantic Chapter and Prince George’s Public Library System.
Integrative Visual and Computational Exploratory Analysis of Genomics Data
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Data Science, Analytics, and Visualization Future of Work
Integrative visual and computational exploratory analysis of genomics data High-throughput genomics is now shifting from a data generation field to a data analysis field. Rapid advances in sequencing technologies and their use in large consortium projects like Encode, 1000 genomes project and the Human Epigenome Roadmap, among others, hold promise for biomedical scientists to posit and test hypothesis on complex mechanisms of development and disease by integrating massive publicly available data as context for their own experimental data.
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval Data Science, Analytics, and Visualization Future of Work
Integrative visual and computational exploratory analysis of genomics data High-throughput genomics is now shifting from a data generation field to a data analysis field. Rapid advances in sequencing technologies and their use in large consortium projects like Encode, 1000 genomes project and the Human Epigenome Roadmap, among others, hold promise for biomedical scientists to posit and test hypothesis on complex mechanisms of development and disease by integrating massive publicly available data as context for their own experimental data.
Internships to Increase Public Access to Archival Resources in National Capital Region Parks
Research Areas: Digital Humanities Human-Computer Interaction
Collaborating with the National Park Service to create an internship program in which students learn about existing archival resources as well as assist in developing and implementing a strategy to locate, identify, and survey archival records throughout National Capital Region parks.
Research Areas: Digital Humanities Human-Computer Interaction
Collaborating with the National Park Service to create an internship program in which students learn about existing archival resources as well as assist in developing and implementing a strategy to locate, identify, and survey archival records throughout National Capital Region parks.
IRCN-CAS: International Research Collaboration in Computational Archival Science
Principal Investigator(s): Richard Marciano
Funders: Arts and Humanities Research Council (AHRC) Other Non-Federal
Research Areas: Archival Science Digital Humanities Library and Information Science
King’s College London’s Department of Digital Humanities, together with the University of Maryland iSchool Digital Curation Innovation Center (US), the Maryland State Archives (US), and The National Archives (UK), were awarded a 1-year International Research Networking grant for UK-US Collaborations in Digital Scholarship in Cultural Institutions.
Principal Investigator(s): Richard Marciano
Funders: Arts and Humanities Research Council (AHRC) Other Non-Federal
Research Areas: Archival Science Digital Humanities Library and Information Science
King’s College London’s Department of Digital Humanities, together with the University of Maryland iSchool Digital Curation Innovation Center (US), the Maryland State Archives (US), and The National Archives (UK), were awarded a 1-year International Research Networking grant for UK-US Collaborations in Digital Scholarship in Cultural Institutions.