Sunmoo Yoon, PhD
Location and Contact Information
Dr. Yoon’s research focuses on using visualization and data science for health to reduce health disparities. Yoon’s pre and postdoctoral 10-year training focused on improving self-management behavior applying informatics and data science techniques to reduce health disparities. Self-Assessment of Informatics Competency Scale (SANICS) tool by Yoon’s team is globally established and well validated for a decade. Yoon is a pioneer of developing an analytic framework for Twitter in 2010 when Twitter was 4-year-old. Her work analyzing Ebola Tweets has been recognized as a ground breaking finding by other disciplines including business and pharmacology with 40 over international media outlets including cNBC, Slate, and Economic Times.
Yoon, S., Schwartz, J., Burg, M., Kronish, I., Alcantara, C., Julian, J., Parsons, F., Davidson, K., & Diaz, K. (2018) Can behavioral analytics increase physical activity? The effect of revealing personalized predictors of exercise on physical activity: N-of-1 study, American Journal of Preventive Medicine 54(4):559-567.
Odlum, M., Yoon, S.* (2015). What can we learn about the Ebola outbreak from tweets? Am J Infect Control, 43(6), 563-571. ---40+ Media release
Yoon, S., Shaffer J, Bakken S (2015) Refining a Self-Assessment of Informatics Competency Scale Using Mokken Scaling Analysis, J Interprof Care. Nov;29(6):579-86.
Yoon S*, Elhadad N, Bakken S. (2013) A practical approach for content mining of Tweets. Am J Prev Med 45(1): 122-9.
Yoon, S. [Application of Social Network Analysis and Text Mining to Characterize Network Structures and Contents of Microblogging Messages: An Observational Study of Physical Activity-Related Tweets], Columbia University, 2010.