Future of Work
Exploring emerging technologies and trends to advance human capabilities in the workplace.
Research Projects
Enhancing Performance and Communication for Distributed Teams During Lunar Spacewalks
Principal Investigator(s): Susannah Paletz
Funder: NASA Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): Susannah Paletz
Funder: NASA Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
REU Supplement: SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Smart Cities and Connected Communities
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Smart Cities and Connected Communities
Theory of Change Through Data
Principal Investigator(s): Wayne G. Lutters
Funder: New York University Other Non-Federal
Research Areas: Future of Work > Human-Computer Interaction > Library and Information Science
The Democratizing Data project supports federal agencies in understanding how their data assets are being used. Novel machine learning algorithms interrogate over 90 million publications to identify data usage, which is presented via a search and discovery platform with three interaction styles: interactive dashboards, Jupyter Notebooks, or direct API.
Principal Investigator(s): Wayne G. Lutters
Funder: New York University Other Non-Federal
Research Areas: Future of Work > Human-Computer Interaction > Library and Information Science
The Democratizing Data project supports federal agencies in understanding how their data assets are being used. Novel machine learning algorithms interrogate over 90 million publications to identify data usage, which is presented via a search and discovery platform with three interaction styles: interactive dashboards, Jupyter Notebooks, or direct API.
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Recent News
UMIACS: Reimagining the Future of Historical Research, One Box at a Time (ft. Doug Oard)
UMD researchers develop AI tools to streamline archival searches, revolutionizing historical document access
Press Release: Best Practices & Collaborative Strategies in Digital Equity: Get Ready for the 2024 Maryland Statewide Digital Equity Summit
Experts will gather at the 2024 Maryland Digital Equity Summit to share strategies for advancing digital inclusion.