Inactive Research Projects

  

 

DAM-Developing a Digital Asset Management System for the Archival Holdings of the Mary McLeod Bethune Council House National Historic Site
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science Digital Humanities Information Justice, Human Rights, and Technology Ethics
Creating a cutting-edge Digital Asset Management System with the National Park Service (NPS) to preserve and manage the digital assets of the Mary McLeod Bethune Council House National Historic Site.
Data Analytics for Community Decision-Making
Principal Investigator(s): Susan Winter
Funders: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization Smart Cities and Connected Communities
The project aims to find out how local communities can benefit from the advances in big data and data analytic technologies and how such technologies can create an innovation-supporting environment to stimulate economic growth in recovering communities.
Data Analytics to Support Innovation Communities
Principal Investigator(s): Susan Winter
Funders: Institute of Museum and Library Services
Research Areas: Data Science, Analytics, and Visualization Future of Work Smart Cities and Connected Communities
Dr. Susan Winter and Andrew Fellows will lead the effort to bring advanced data analytics and business intelligence services to public libraries in Prince George’s County.
Designing Equitable Computational Thinking Learning Opportunities in Under-Resourced Elementary Mathematics Classrooms
Principal Investigator(s): David Weintrop
Funders: The National Academy of Education/Spencer Postdoctoral Fellowship Program Other Non-Federal
Research Areas: Youth Experience, Learning, and Digital Practices
Integrating computational thinking into elementary mathematics classrooms in a way that empowers learners to draw on their Funds of Knowledge while also working within the constraints of the public education system.
Developing a Computational Framework for Library and Archival Education
Principal Investigator(s): Richard Marciano
Funders: Institute of Museum and Library Services
Research Areas: Archival Science Library and Information Science Youth Experience, Learning, and Digital Practices
UMD held a workshop to create the building blocks of a Master's level educational curriculum to educate the next generation of librarians and archivists in the computational treatments of collections.
Developing a Digital Asset Management System for the Archival Holdings of the Mary McLeod Bethune Council House National Historic Site
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science Digital Humanities Information Justice, Human Rights, and Technology Ethics
Creating a cutting-edge Digital Asset Management System with the National Park Service (NPS) to preserve and manage the digital assets of the Mary McLeod Bethune Council House National Historic Site.
Digital Curation Fellows Program at the National Agricultural Library 2016-2021
Principal Investigator(s): Katrina Fenlon
Research Areas: Archival Science Digital Humanities Library and Information Science Youth Experience, Learning, and Digital Practices
Working with students in the iSchool's newly created specialization in data curation to build the workforce of the future in the field of digital curation and user access for scientific data and literature with an emphasis on agriculture and agricultural informatics.
Doctoral Consortium for ASSETS 2019
Principal Investigator(s): Amanda Lazar
Funders: National Science Foundation
Research Areas: Accessibility and Inclusive Design Machine Learning, AI, Computational Linguistics, and Information Retrieval Data Science, Analytics, and Visualization
This is funding to support a Doctoral Consortium (workshop) of approximately 15 promising graduate students (up to 10 from the United States, who will be funded by this award), along with about 5 distinguished research faculty.
E-VERIFY: System for Cross-Language Information Processing, Translation, and Summarization (SCRIPTS)
Principal Investigator(s): Douglas W. Oard
Funders: Columbia University Other Non-Federal
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Creating a powerful online search engine tool with built-in multilingual-to-English translation. A collaboration of the University of Maryland (UMD), Columbia University, Yale University, the University of Cambridge, and the University of Edinburgh.

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