Rate My Professor Loni Hagen

Hagen’s research focuses on human-centered data science methodologies to apply artificial intelligence and big data analytics for social science research and government decision-making. Her academic interests include computational social science, e-participation, social media analytics, cybersecurity, privacy, public health crises, and undergraduate data science education. She has published in prominent journals such as the Journal of the Association for Information Science and Technology, Information Processing & Management, Social Science Computer Review, and JMIR Infodemiology. Key publications comprise “Human-supervised data science framework for city governments: A design science approach” with Patel and Luna Reyes (2023), “The role of influential actors in fostering the polarized COVID-19 vaccine discourse on Twitter” with Fox et al. (2022), “Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network” with Neely et al. (2020), “Content Analysis of E-petitions with Topic Modeling: How to Train and Evaluate LDA Models?” (2018), and “Crisis Communications in the Age of Social Media: A Network Analysis of Zika-Related Tweets” with Keller et al. (2018). Her scholarship has been cited over 1,754 times. Hagen earned the 2024-2025 Fulbright U.S. Scholar Award to conduct research on human supervision of artificial intelligence at the University of Tsukuba, Japan. Further honors include the Best Management Paper Award at the 20th Annual International Conference on Digital Government Research (2019) and the Distinguished Dissertation Award from the University at Albany, SUNY (2016). She serves on the Digital Government Society board, as conference program co-chair and special interest group chair, and hosts computational methods workshops. Her work receives support from the National Research Foundation of Korea and the Florida Center for Cybersecurity.