Inactive Research Projects
Establishing an International Network for Food Acquisition and Purchase Surveys
Principal Investigator(s): Christopher Antoun
Funder: USDA Agricultural Research Service
Research Areas: Future of Work > Social Networks, Online Communities, and Social Media
Principal Investigator(s): Christopher Antoun
Funder: USDA Agricultural Research Service
Research Areas: Future of Work > Social Networks, Online Communities, and Social Media
Establishing and Testing Best Practices in the Digital Curation of Collections at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funder: USDA Agricultural Research Service
Research Areas: Archival Science > Library and Information Science
The National Agricultural Library acquires, organizes, provides access to, and preserves agriculture literature and its data for the U.S. Department of Agriculture. It needs research on the best practices for creating and curating its digital collections.
Principal Investigator(s): Katrina Fenlon
Funder: USDA Agricultural Research Service
Research Areas: Archival Science > Library and Information Science
The National Agricultural Library acquires, organizes, provides access to, and preserves agriculture literature and its data for the U.S. Department of Agriculture. It needs research on the best practices for creating and curating its digital collections.
Global Privacy Monitor (GMP): Learning from External Privacy Stakeholders
Principal Investigator(s): Frauke Kreuter
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Principal Investigator(s): Frauke Kreuter
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Global Public Inclusive Infrastructure – Automated Personalization Computing Project
Principal Investigator(s): Gregg Vanderheiden
Funder: US Dept of Education
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics
A Global Public Inclusive Infrastructure (GPII) was made to change any devices’ interfaces for people who cannot use technologies due to barriers caused by their level of disability, literacy, and/or digital literacy.
Principal Investigator(s): Gregg Vanderheiden
Funder: US Dept of Education
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics
A Global Public Inclusive Infrastructure (GPII) was made to change any devices’ interfaces for people who cannot use technologies due to barriers caused by their level of disability, literacy, and/or digital literacy.
How COVID-19 is Changing Workplace Surveillance: American Workers’ Experiences & Privacy Expectations When Working From Home
Principal Investigator(s): Jessica Vitak
Funder: SSRC Rapid-Response Research Grants 2020 Other
Research Areas: Future of Work
Investigating American workers' attitudes toward workplace surveillance, including employers' collection of their data for workplace monitoring and efficiency tracking, which has shifted to working-at-home surveillance due to Covid-19.
Principal Investigator(s): Jessica Vitak
Funder: SSRC Rapid-Response Research Grants 2020 Other
Research Areas: Future of Work
Investigating American workers' attitudes toward workplace surveillance, including employers' collection of their data for workplace monitoring and efficiency tracking, which has shifted to working-at-home surveillance due to Covid-19.
III: Small: DataWorld: Externalizing Hidden Data Flows for Anywhere Analytics
Principal Investigator(s):
Funder: 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.
Principal Investigator(s):
Funder: 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
Funder: Rochester Institute of Technology Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Library and Information Science
Principal Investigator(s): Douglas W. Oard
Funder: Rochester Institute of Technology Other
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
Funder: 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
Funder: 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
Funder: 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
Funder: 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
Funder: 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
Funder: 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.
INFACT: The Inclusion of Neurodiversity in Foundations and Applications of Computational Thinking
Principal Investigator(s): David Weintrop
Funder: TERC Other
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): David Weintrop
Funder: TERC Other
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
Funder: National Academy of Education Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: National Academy of Education Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices