Future of Work
Exploring emerging technologies and trends to advance human capabilities in the workplace.
Research Projects
E-VERIFY: Task Order 002: Mission Analytics Technology and Research for Innovative eXploitation (MATRIX)
Principal Investigator(s): Cody Buntain
Funder: Parallax Advanced Research Other Federal
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project focuses on developing mathematical and computational methods to advance machine learning and artificial intelligence, with applications that support U.S. Air Force, U.S. Space Force, and Department of Defense personnel.
Principal Investigator(s): Cody Buntain
Funder: Parallax Advanced Research Other Federal
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project focuses on developing mathematical and computational methods to advance machine learning and artificial intelligence, with applications that support U.S. Air Force, U.S. Space Force, and Department of Defense personnel.
Enhancing Performance and Communication for Distributed Teams During Lunar Spacewalks
Principal Investigator(s): Susannah Paletz
Funder: NASA - Johnson Space Center 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 - Johnson Space Center Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Developing and Investigating Data Science Interventions Connected to University Athletics to Address Systemic Racism in Undergraduate STEM Education (better known as DataGOAT)
Principal Investigator(s): Tamara Clegg
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Health Informatics > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics > Social Networks, Online Communities, and Social Media > Youth Experience, Learning, and Digital Practices
This project, DataGOAT, engages Black male collegiate athletes in data science by connecting their sports performance and health data to STEM learning. It aims to overcome racialized stereotypes, foster STEM identities, and create educational pathways through courses, internships, and data analysis tools, benefiting both participants and the broader educational community.
Principal Investigator(s): Tamara Clegg
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Future of Work > Health Informatics > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics > Social Networks, Online Communities, and Social Media > Youth Experience, Learning, and Digital Practices
This project, DataGOAT, engages Black male collegiate athletes in data science by connecting their sports performance and health data to STEM learning. It aims to overcome racialized stereotypes, foster STEM identities, and create educational pathways through courses, internships, and data analysis tools, benefiting both participants and the broader educational community.
Faculty
Staff
Recent News

Lauren Schirle, MIM '19
Alumni Profile: From Archives to Analytics: How a MIM Alum’s Unconventional Path Shapes Fintech Innovation
A profile of MIM alum Lauren Schirle
Nabintta Blé, InfoSci '18
Alumni Profile: The Creative Journey of Nabintta Blé
An InfoSci alum profile
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