Inactive Research Projects

 

Library Knowledge Extensions (KNEXT): Data Analytics to Support Innovation Communities
Principal Investigator(s): Susan Winter Andrew Fellows
Funder: Institute of Museum and Library Services
Research Areas: Data Science, Analytics, and Visualization > Library and Information Science
KNEXT is a three-year collaborative project between Kent State University (KSU-SLIS) and the University of Maryland (UMD-CIS), which partners with local public libraries, small business development centers, economic development organizations, and community advocacy groups to bring advanced data analytics and business intelligence (DA&BI) services to public libraries in order to support small businesses, entrepreneurs, and community advocates within two recovering communities in Ohio and Maryland.
Long Term Multi-Instruments Land Surface Reflectance Record and Applications
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other Non-Federal
Research Areas: Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities
The long-term data record (LTDR) from the Advanced Very High-Resolution Radiometer (AVHRR) provides daily surface reflectance with global coverage from the 1980s to present day, making it a unique source of information for the study of land surface properties and their long-term dynamics. Surface reflectance is a critical input for the generation of products such as vegetation indices, albedo, and land cover. Therefore, it is of utmost importance to quantify its uncertainties to better understand how they might propagate into downstream products.
M3I – Maps, Models, and Metrics for Influence Efforts by State/Non-State Actors
Principal Investigator(s): Cody Buntain
Funder: DOD-DARPA-Defense Advanced Research Projects Agency Other Non-Federal

Mapping Inequality — Redlining in New Deal America
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science
Providing online access to the totality of the maps and neighborhood descriptions for the national redlining collection.
Maryland Sports Data Analytics Camps for Youth
Principal Investigator(s): Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Youth Experience, Learning, and Digital Practices
Advancing knowledge of informal learning experiences that build adolescents' motivation for participation in STEM courses and careers, with a specific focus on introducing middle school African American and Latinx youth to the world of sports data analytics through events and summer camps.
NatureNet – Community-Driven Environmental Projects (C-DEP)
Principal Investigator(s): Jennifer J. Preece Tamara Clegg
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Human-Computer Interaction > Smart Cities and Connected Communities
The Community-Driven Environmental Projects (C-DEP) model is a multi-university research endeavor funded by the NSF AISL program with an objective to engage members of diverse communities in local nature and environmental conservation projects of their choosing.
NDA with Department of Legislative Services
Principal Investigator(s): Bill Kules
Funder: STMD-Department of Legislative Services Other Non-Federal
Research Areas: Data Privacy and Sociotechnical Cybersecurity

NRT-IGE: Information Infrastructure for Society: Integrating Data Science and Social Science in Graduate Education and Workforce Development
Principal Investigator(s): Brian Butler
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Youth Experience, Learning, and Digital Practices
This National Science Foundation Research Traineeship (NRT) award in the Innovations in Graduate Education (IGE) Track to the University of Maryland will pilot an innovative, cross-disciplinary curriculum that integrates Data Science with Social Science.
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.
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.
Personalized Account and Community Management Tool
Principal Investigator(s): Jennifer Golbeck
Funder: Intelligent Automation, Inc Other Non-Federal
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
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.

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