USC Annenberg Assistant Professor of Communication Marlon Twyman is a quantitative social scientist specializing in advanced computational and statistical methods, with a particular focus on social network analysis. By merging perspectives from social networks, organizational behavior, and computational social science, his research program focuses on how teams, online communities, and organizations form and interact in the digital age. More specifically, he studies questions related to team formation processes in collaborative technology platforms. Recently, his research has appeared in the following venues: the CHI Conference on Human Factors in Computing Systems, CSCW Conference on Computer Supported Cooperative Work and Social Computing, International Conference on Tangible, Embedded, and Embodied Interaction, Interdisciplinary Network for Group Research Conference (INGRoup), International Conference on Computational Social Science (IC2S2), and Sunbelt Conference of the International Network for Social Network Analysis (INSNA).
He received his PhD from Northwestern University in the Technology and Social Behavior program, a dual-degree in Communication Studies and Computer Science. Previously, he earned his BS and MS in Biomedical Engineering from Wright State University (Dayton, OH) and has acquired professional experiences as a consultant for topics related to IT implementation, healthcare quality, and policy as well as experience as a materials science researcher. At different stages of his career, his research has been supported by the National Science Foundation, the National Aeronautics and Space Administration, the Air Force Research Laboratory, the National GEM Consortium, and the MITRE Corporation. He has also been awarded a Provost’s Assistant Professor Fellowship from the University of Southern California.
Twyman, M. & Contractor, N. (in press). State of the Science: Team Assembly. In K. Hall, A. Vogel, & R. Croyle (Eds.), Strategies for Team Science Success: Handbook of Evidence-based Principles for Cross-disciplinary Science and Practical Lessons Learned from Health Researchers, Part V: Team Formation, Chapter 17. National Institutes of Health. Springer.
Gómez-Zará, D., Paras, M., Twyman, M., Lane, J.N., DeChurch, L.A., & Contractor, N.S. (2019). Who Would You Like to Work With?: Use of Individual Characteristics and Social Networks in Team Formation Systems. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, (pp. 659:1–659:15). New York, NY, USA: ACM. https://doi.org/10.1145/3290605.3300889
Twyman, M., Keegan, B. C., & Shaw, A. (2017). Black Lives Matter in Wikipedia: Collective Memory and Collaboration Around Online Social Movements. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1400–1412). New York, NY, USA: ACM. https://doi.org/10.1145/2998181.2998232
Twyman, M., Mullenbach, J., Shultz, C., Colgate, J. E., & Piper, A. M. (2015). Designing Wearable Haptic Information Displays for People with Vision Impairments. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 341–344). New York, NY, USA: ACM. https://doi.org/10.1145/2677199.2680578