Young Ji Kim

Assistant Professor
Organizational Communication
ykim@comm.ucsb.edu

Office Hours: 

by appointment

Contact Phone: 

805-893-4196

Office Location: 

4131 SS & MS

Specialization: 

group collaboration; collective intelligence; the social and organizational implications of technologies, with particular emphasis on online credibility, computer-supported cooperative work, and crowdsourcing

Google Scholar Profile

Education: 

Ph. D., Communication, University of Southern California, 2014.

M.A.,  Communication, University of Southern California, 2012.

B.A., Mass Communication, Yonsei University, 2006. 

Bio: 

Young Ji Kim received her PhD in communication from the Annenberg School for Communication at the University of Southern California. Her research examines group collaboration; collective intelligence; and the social and organizational implications of technologies, with particular emphasis on online credibility, computer-supported cooperative work, and crowdsourcing. She is currently exploring factors that make groups collectively intelligent, and ways in which human and machine intelligence can be combined to enhance collective intelligence.

Prior to joining UCSB, Young Ji worked as a postdoctoral associate at the Center for Collective Intelligence of the MIT Sloan School of Management. She has won several top paper awards for her research from the International Communication Association, the National Communication Association, and the Academy of Management. She has also received a university-wide service award from UCSB and a university-wide teaching award while at USC.

Publications: 

Glikson, E., Woolley, A. W., Gupta, P., & Kim, Y. J. (2019). Visualized automatic feedback in virtual teams. Frontiers in Psychology, 10:814.doi: 10.3389/fpsyg.2019.00814. Link. 

Yan, B., Kim, Y. J., Hollingshead, A. B., & Brandon, D. P. (2019). Conceptualizing online groups as multidimensional networks. In A. Attrill-Smith, C., Fullwood, M. Keep, & D. J. Kuss (Eds.), The Oxford Handbook of Cyberpsychology, Oxford University Press. 

Amelkin, V., Askarisichani, O., Kim, Y. J., Malone, T. W., & Singh, A. K. (2018). Dynamics of collective performance in collaborative networks. PLOS ONE, 13(10). Link. 
 
Kim, Y. J.*, Engel, D.*, Woolley, A. W., Lin, J., McArthur, N., & Malone, T. W. (2017). What makes a strong team? Using collective intelligence to predict performance of teams in League of Legends.  Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017). (*authors contributed equally) - Research featured on Nature News , PDF.
 
Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A. W., & Dabbish, L. (2017). Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction. Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017). PDF.
 
Kim, Y. J., & Hollingshead, A. B. (2015). Online social influence: Past, present, and future. Annals of the International Communication Association (formerly Communication Yearbook), 39, p. 163-192. PDF.
 
Engel, D., Woolley, A. W., Aggarwal, I., Chabris, C. F., Takahashi, M., Nemoto, K., Kaiser, C., Kim, Y. J., & Malone, T. W. (2015). Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea. PDF. 

Courses: 

Organizational Communication (Comm122)

Small Group Communication (Comm106)

 

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