People
Loni Hagen
Associate Professor
CONTACT
Office: CIS 2031
Email
BIO
Dr. Loni Hagen is an Associate Professor of Data Science in the School of Information at the University of South Florida. She received her Ph.D. in Information Science from University at Albany, SUNY.
Dr. Hagen was awarded a Fulbright U.S. scholar for 2024-2025 for Japan to conduct research on human supervision of artificial intelligence at the University of Tsukuba. She has worked diverse law enforcement positions in Korea over ten years including an e-government specialist at the Headquarter of the Korean National Police Agency.
Dr. Hagen studies methodologies on how to apply artificial intelligence and big data for social science research and government decision making. Her current research interests are in the domains of human-centered data science, social media, cybersecurity, public health crisis, and undergraduate data science education.
Dr. Hagen has published her work in journals such as Government Information Quarterly, Journal of the American Society for Information Science and Technology (JASIST), Information Processing and Management, New Media and Society, Social Science Computer Review, ACM Digital Government: Research and Practice (DGOV), and Journal of Medical Internet Research (JMIR) Infodemeology. Her research was supported by the National Research Foundation of Korea and the Florida Center for Cybersecurity. She has served as a board member of the DGS, and conference Program Co-chair, a special interest group chair, and a jury for the best paper award for international conferences. She is a member of Digital Government Society (DGS) and American Society for Information Science and Technology (ASIS&T) since 2013.
EDUCATION
- Ph.D., University of Albany
- M.A.S., University of Tokyo
- M.A., Yonsei University
- B.A., Korean National Police University
Recent Publications & Research
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Hagen, L., Patel, M. & Luna Reyes, L.F. (2023) “Human-supervised data science framework for city governments: A design science approach,” Journal of the Association for Information Science and Technology.
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Hagen, L., Fox, A., O’Leary, H., Dyson, D., Walker, K., Lengacher, C. A., & Hernandez, R., (2022) “The role of influential actors in fostering the polarized COVID-19 vaccine discourse on Twitter: mixed methods of machine learning and inductive coding,” JMIR Infodemeology.
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Hagen, L., Neely, S., Scharf, R., Keller, T., & Espinoza, F. (2020), Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network, Social Science Computer Review.
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Hagen, L. (2018), Content Analysis of E-petitions with Topic Modeling: How to Train and Evaluate LDA Models?, Information Processing & Management, 54(6), 1292-1307.
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Hagen, L., Keller, T., Neely, S., DePaula N., & Cooperman, C. (2018), “Crisis Communications in the Age of Social Media: A Network Analysis of Zika Related Tweets,” Social Science Computer Review, 36(5), 523-541.