Inactive Research Projects
ScratchEncore: Equity via a Flexible, Culturally-Relevant Advanced Scratch Curriculum for Upper Elementary Diverse Students and Teachers
Principal Investigator(s): David Weintrop
Funder: National Science Foundation
Research Areas: Library and Information Science > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: National Science Foundation
Research Areas: Library and Information Science > Youth Experience, Learning, and Digital Practices
Skill-XR: An Affordable and Scalable X-Reality (XR) Platform for Skills Training and Analytics in Manufacturing Workforce Education
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Online communities, from question and answer sites to general purpose discussion forums, are increasingly working to solve hard problems together, often through a process of open sharing and discussion of ideas and information.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval
Online communities, from question and answer sites to general purpose discussion forums, are increasingly working to solve hard problems together, often through a process of open sharing and discussion of ideas and information.
TAACO: Targeted Aptitude Assessment for Cyber Operations
Principal Investigator(s):
Funder: STMD-Maryland Technology Development Corporation Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Principal Investigator(s):
Funder: STMD-Maryland Technology Development Corporation Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Tapestry: A Tool for Managing Integrated Cyber Risk
Principal Investigator(s): Charles Harry
Funder: Maryland Innovation Initiative Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Promoting a patent-pending analytic method and scoring technology that can guide risk assessment for individual organizations and their infrastructure to target and quantify cyber risks throughout an organization.
Principal Investigator(s): Charles Harry
Funder: Maryland Innovation Initiative Other
Research Areas: Data Privacy and Sociotechnical Cybersecurity
Promoting a patent-pending analytic method and scoring technology that can guide risk assessment for individual organizations and their infrastructure to target and quantify cyber risks throughout an organization.
The AGEP Alliance State System Model to Transform the Hiring Practices and Career Success of Tenure Track Historically Underrepresented Minority Faculty in Biomedical Sciences
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Youth Experience, Learning, and Digital Practices
This collaborative research brings together five public universities with the goal of developing, implementing, studying, evaluating and disseminating a state level AGEP Alliance model to increase the number of historically underrepresented minority (URM) tenure-track faculty in the biomedical sciences.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Youth Experience, Learning, and Digital Practices
This collaborative research brings together five public universities with the goal of developing, implementing, studying, evaluating and disseminating a state level AGEP Alliance model to increase the number of historically underrepresented minority (URM) tenure-track faculty in the biomedical sciences.
The Essential and Advanced Lactation Simulation Model ("LSM") and the Breast Health Training Tool ("BHTT")
Principal Investigator(s):
Funder: LiquidGoldConcept Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
Principal Investigator(s):
Funder: LiquidGoldConcept Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization > Human-Computer Interaction
The POD-Vis Cloud-Based Platform Generates Actionable Insights from Complex Clinical Datasets
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Health Informatics
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Health Informatics
The Role of Emotions in Sociopolitical Polish and Lithuanian Social Media
Principal Investigator(s): Susannah Paletz
Funder: US Office of Naval Research
Research Areas: Social Networks, Online Communities, and Social Media
This project, run through ARLIS, investigates how emotion impacts information propagation and sharing in Polish and Lithuanian social media. Teams of in-country annotators independently assess each post, including all multimedia content, for over 22 distinct emotions inclusively on 0 to 100 scales--meaning that the same post will have different scores for different emotions. We will conduct multi-level statistical analyses of the impact of emotions, specific topics, and account and message features on social media sharing and engagement.
Principal Investigator(s): Susannah Paletz
Funder: US Office of Naval Research
Research Areas: Social Networks, Online Communities, and Social Media
This project, run through ARLIS, investigates how emotion impacts information propagation and sharing in Polish and Lithuanian social media. Teams of in-country annotators independently assess each post, including all multimedia content, for over 22 distinct emotions inclusively on 0 to 100 scales--meaning that the same post will have different scores for different emotions. We will conduct multi-level statistical analyses of the impact of emotions, specific topics, and account and message features on social media sharing and engagement.
UMD-ARL Alliance for Additive Manufacturing Science
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work > Library and Information Science
Principal Investigator(s): Richard Marciano
Funder: US Army Research Office
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Future of Work > Library and Information Science
When Does Encouraging Diverse Initial Solutions Lead to Better Final Solutions?
Principal Investigator(s): Joel Chan
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.
Principal Investigator(s): Joel Chan
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Data Science, Analytics, and Visualization
Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.