Juliana Hirt

Education
Master of Science in Information Science and Technology, University of Wisconsin-Milwaukee
Bachelor of Arts in Mathematics, University of Wisconsin-Milwaukee

Bio
Juliana Hirt is a PhD candidate in the School of Information Studies at the University of Wisconsin-Milwaukee. She holds a Master of Science in Information Science and Technology and a Bachelor of Arts in Mathematics, both from the University of Wisconsin-Milwaukee. Her research interests focus on integrating theories of knowledge organization, information retrieval, and information communication to develop generalizable stochastic models for the optimization of information technology infrastructures.
Her current work examines the application of cognitive social constructivist approaches to knowledge organization, with a particular focus on event-driven architecture (EDA) optimization. She has also contributed to research on metadata representations for multimedia resources, including video games, anime, and fiction, and is actively engaged in studies investigating the ethical implications and affordances of artificial intelligence in librarianship and collaborative storytelling.
Juliana's research has been published in the Journal of Documentation and the proceedings of the Association for Information Science and Technology (ASIS&T) and iConference. She is also involved in research initiatives supported by the American Library Association (ALA) and the Northwestern Mutual Data Science Institute (NMDSI).

Courses Taught
INFOST 310: Human Factors in Information Seeking and Use
INFOST 410: Database Information Retrieval Systems

Publications
Cho, H., Lee, W.-C., Thach, H., & Hirt, J. (2025). Evaluating video game moods and their separability based on user-generated reviews. Journal of Documentation, 81(2), 545-565. https://doi.org/10.1108/JD-10-2024-0247

[Accepted] Hirt, J. and Lee, W-C. (2025). Adventurers and Algorithms: AI and the Evolution of TTRPG Gameplay. Proceedings of the Annual Conference of CAIS/Actes du congrès annuel de l'ACSI 2025.

Lee, W. C., Hirt, J., & Cho, H. (2025). AI-assisted creativity: Shaping reader perspectives and evolving information needs. iConference 2025 Proceedings.

Lee, W.-C., Huang, L.-M.C., & Hirt, J. (2025). Embracing emojis: Prototyping mood enhanced information systems for fiction readers. Journal of Documentation, 81(2), 313-329. https://doi.org/10.1108/JD-05-2024-0100

Lee, W.-C., Huang, L.-M.C., & Hirt, J. (2024). From amused to: 😆 Enriching mood metadata by mapping textual descriptors to emojis for fiction reading. Journal of Documentation, 80(2), 552-571. https://doi.org/10.1108/JD-08-2023-0146

Lee, W.-C., Hirt, J. & Cho, H. (2024), From Fandom to Fadeaway: Unpacking Factors Contributing to Anime Dropout. Proceedings of the Association for Information Science and Technology, 61: 989-991. https://doi.org/10.1002/pra2.1163

Lee, W.-C., Hirt, J. & Adebayo, J. (2024), Unveiling Ethical Concerns in AI: Early Insights from a Systematic Review. NMDSI AI Ethics Symposium: From Policy to Practice.