group collaboration; collective intelligence; the social and organizational implications of technologies, with particular emphasis on online credibility, computer-supported cooperative work, and crowdsourcing
Ph. D., Communication, University of Southern California, 2014.
M.A., Communication, University of Southern California, 2012.
B.A., Mass Communication, Yonsei University, 2006.
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).
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.
Organizational Communication (Comm122)
Small Group Communication (Comm106)