Min Sook Park

Assistant Professor

Education

• • PhD, Information Studies, Florida State University
  • Master of Science in Library and Information Studies, Florida State University

Bio

Dr. Min Sook Park is an assistant professor in the School of Information Studies at the University of Wisconsin-Milwaukee. Dr. Park’s interdisciplinary academic commitment falls under the area of health informatics by drawing from the interconnections of the traditional research areas of behavioral science and knowledge organization in the field of Information Studies, along with data science, social computing, and information technologies. These research areas are all interconnected in a way that contributes to and accelerates data-driven computationally intensive approaches to health informatics research. To effectively leverage people’s wisdom hidden in the scaled data generated by information users, Dr. Park employs computational data analytic methods such as text mining, natural language processing, database techniques, and semantic network analysis. Her teaching interests include data science, information technologies, health informatics, knowledge organization, and information behavior.

Courses Taught

INFOST 350 Introduction to Application Development
INFOST 340 Introduction to System Design and Analysis

Grants

Self-Monitoring Support Application for Adults with Diabetes and Hypertension
NIH/NINR R21NR019707, 2021-2023
Hyunkyoung Oh (PI), Jake Luo , Min Sook Park, Jeffrey Whittle, Iqbal Ahamed, Younjoo Cho

Creating opportunities for visualization of data: Applying STEM education research.
National Science Foundation (NSF) DUE IUSE RAPID Response Research (#2032688). 2020 – 2021.
Cameron Byerley (PI), Kevin Moore, Hyunkyoung Yoon, Surani Joshua, Min Sook Park, Laura Valaas

Health App for People with Chronic Conditions
NSF I-Corps program (#AAG8587), 2019-2020
Hyunkyoung Oh, Min Sook Park

Sample Publications

You, S., Park, M., & Joo, S. (in press)
Practicability of ensemble artificial neural network models for a classification task: An optimal approach for reproducing classification practices of health consumers generated text on social media. Journal of Library and Information Studies. 20(1). doi: 10.6182/jlis.202206_20(1).000

Park, M., Oh, H., & You, S. (2020) Health information seeking behavior of those with multiple chronic conditions: Contextual factors and its associations mined from questions in social media. Library & Information Science Research (LISR), 42(3).

Park, M. (2019) Understanding characteristics of semantic associations between health consumer generated knowledge representation in social media. Journal of the Association for Information Science and Technology (JASIST), 70(11). doi: 10.1002/asi.24198. https://rdcu.be/bwCrw

Park, H. & Park, M. (2019). Capturing the trend of mHealth research using text mining. mHealth, 5(48).

Park, M. & Park, H. (2019) An examination of metadata practices for research data reuse. Malaysian Journal of Library & Information Science. 24(3), 61-75.

Park, M., & Park, H. (2016) Topical Network of Breast Cancer Information in a Korean American Online Community: A Semantic Network Analysis. Information Research, 21(4).

Park, M., He, Z., & Chen, Z., Oh, S., & Bian, J. (2016) Consumers’ use of medical concepts on social media: diabetes-related textual data analysis in blog and social Q&A sites. JMIR Medical Informatics 2016;4(4):e41. doi: 10.2196/medinform.5748

Teaching Specialization & Interests

Information organization, data science, system analysis & design

Research Interests by Topic

Health informatics, health information seeking, social semantics, information organization, text mining