Research Projects
Filtered by: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Accelerating Cross-Disciplinary Innovation with Computational Analogy
Principal Investigator(s): Joel Chan
Funder: US Office of Naval Research
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Principal Investigator(s): Joel Chan
Funder: US Office of Naval Research
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.
Capturing Computational Thinking Literacy Development in Public Libraries
Principal Investigator(s): Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Library and Information Science
Identifying the learning outcomes that can be achieved through CT programs for youth offered through libraries and to develop a bank of assessment tools that can be used by public library staff to document and measure CT literacy development in youth as a result of participating in library CT programs.
Principal Investigator(s): Mega Subramaniam
Funder: Institute of Museum and Library Services
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Library and Information Science
Identifying the learning outcomes that can be achieved through CT programs for youth offered through libraries and to develop a bank of assessment tools that can be used by public library staff to document and measure CT literacy development in youth as a result of participating in library CT programs.
Computational Thinking to Unlock the Japanese American WWII Camp Experience
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Exploring the legacy of WWII Japanese American Incarceration through computational archival science approaches.
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Exploring the legacy of WWII Japanese American Incarceration through computational archival science approaches.
Designing a Computer Science Pre-service Teacher Methods Course for Maryland
Principal Investigator(s): David Weintrop
Funder: University System of Maryland Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: University System of Maryland Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
Earth Observation for National Agricultural Monitoring
Principal Investigator(s): Sergii Skakun
Funder: NASA Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work
Principal Investigator(s): Sergii Skakun
Funder: NASA Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work
IARPA BETTER: Multilingual Fine-grained Decompositional Analysis
Principal Investigator(s):
Funder: USODNI Intelligence Advanced Research Projects Activity
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.
Principal Investigator(s):
Funder: USODNI Intelligence Advanced Research Projects Activity
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.
III: Small: DataWorld: Externalizing Hidden Data Flows for Anywhere Analytics
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
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: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Information Justice, Human Rights, and Technology Ethics > Library and Information Science
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.
Long Term Multi-Instruments Land Surface Reflectance Record and Applications
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work > Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work > Smart Cities and Connected Communities
Machine Learning Strategies for FDR Presidential Library Collections (ML-FDR)
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.
Principal Investigator(s): Richard Marciano
Research Areas: Archival Science > Data Science, Analytics, and Visualization > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content related to WWII-era records housed at the FDR Presidential Library. This content is under-utilized by scholars examining American responses to the Holocaust.
My Creative AI Co-Worker
Principal Investigator(s): Sarah Vahlkamp
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): Sarah Vahlkamp
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
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.
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.
Professor of the Practice
Principal Investigator(s): Jason R. Baron Douglas W. Oard
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Memorandum of Understanding With MITRE Corporation. Collaborative research on methods of artificial intelligence used to improve administration of the Freedom of Information Act.
Principal Investigator(s): Jason R. Baron Douglas W. Oard
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Memorandum of Understanding With MITRE Corporation. Collaborative research on methods of artificial intelligence used to improve administration of the Freedom of Information Act.