Inactive Research Projects

 

Earth Observation for National Agricultural Monitoring
Principal Investigator(s): Sergii Skakun
Funder: NASA Other Non-Federal
Research Areas: Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project aims to advance national agriculture monitoring with Earth Observations (EO) data in East and Southern Africa using machine learning tools and open source data to develop baseline datasets.
Enhancing Digital Privacy and Security Skills for Low-Socioeconomic Families: Resources for Librarians and Patrons
Principal Investigator(s): Jessica Vitak Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Library and Information Science
Bringing together researchers, low socioeconomic status (SES) families, and public library partners to identify the privacy and security challenges librarians and low-SES families face using internet and communication technologies and to develop a suite of educational and professional development resources for both librarians and low-SES families
Environmental Injustice and Deaths of Despair: Lessons from Montana’s Tribal Lands
Principal Investigator(s):
Research Areas: Health Informatics > Information Justice, Human Rights, and Technology Ethics
The proposed project uses the case of Native American Lands in Montana to investigate the dynamic interactions between environmental change and socio-economic conditions, in order to identify potential pathways whereby environmental hardship may contribute to (and result from) forms of socio-economic distress linked to deaths of despair.
Establishing and Testing Best Practices in the Digital Curation of Collections at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
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 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.
Heal Us: Reimagining and co-developing curricula for maternal health professionals
Principal Investigator(s): Amelia Gibson
Funder: University of North Carolina at Chapel Hill Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity > Health Informatics > Information Justice, Human Rights, and Technology Ethics
BELIEVE (which stands For “Building Equitable Linkages With Interprofessional Education Valuing Everyone) is a multi-institutional project focused on developing and testing interprofessional curricular interventions for the purpose of reducing Black maternal mortality and morbidity and improving birth experiences in the United States.
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 Non-Federal
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.
Human-Agent Teaming on Intelligence Tasks
Principal Investigator(s): Susannah Paletz
Research Areas: Future of Work
Our goal is to create a platform for running experiments that would simulate an AI intervention into intelligence analysis tasks, specifically involving a human shift handover. Participants would work through materials, including notes and feedback from the “previous” analyst, to solve a fictional intelligence task. This study examines how potential AIs can influence team cognition and decision making.
IARPA BETTER: Multilingual Fine-grained Decompositional Analysis
Principal Investigator(s):
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Developing enhanced methods for personalized, multilingual semantic extraction and retrieval from text, in support of IARPA's goal of providing users with a system that quickly and accurately extracts complex semantic information, targeted for a specific user, from text.

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