Young Ji Kim

Assistant Professor
Group & Organizational Communication

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. 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.

She is currently studying communication-related factors that make groups collectively intelligent, ways in which humans and machines collaborate to enhance collective intelligence, and how group communication processes help realize the benefits of group diversity. Her work on human-machine teaming has been competitively selected to receive an award from the Department of Defense Multidisciplinary University Research Initiative (MURI) program, which will support her research for the next three years (2021-2024). She is looking for graduate students and postdocs interested in collaborating on this project (a call for postdocs will be posted soon). 

Publications

Ganesh, S., Stohl, C., & Kim, Y. J. (2021). Membership matters: Organizational archetypes, participatory styles, and connectivve action. Management Communication Quarterly. Link

Riedl, C., Kim, Y. J., Gupta, P., Malone, T. W., & Woolley, A. W. (2021). Quantifying collective intelligence in human groups. Proceedings of the National Academy of Sciences, 118(21), e2005737118. Link

Tomprou, M., Kim, Y. J., Chikersal, P., Woolley, A. W., & Dabbish, L. A. (2021). Speaking out of turn: How video conferencing reduces vocal synchrony and collective intelligence. PLoS ONE, 16(3), e0247655 Link

Kim, Y. J., Bachhuber, J., Botelho, C., Friedkin, N., Kim, Y., Malone, T. W., Patil, A., Ramamoorthy, S. M., Singh, A., Upadhyaya, C., Woolley, A. W., & Yang, M. J. (2020). Platform for Online Group Studies (POGS) User Manual. https://github.com/CCI-MIT/POGS/wiki/Platform-for-Online-Group-Studies-%28POGS%29-User-Manual

Yan, B., Lewis, K., Figge, P., Hollingshead, A. B., Steves Alexander, K.,  Kim, Y. J., & Fang, C. (2020). Intelligent machines and teamwork: Help or Hindrance? Academy of Management Best Paper Proceedings, 1, 21962. Link

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)