Haiyi Zhu is an assistant professor in the computer science department at the University of Minnesota, Twin Cities. She received her PhD degree from the Human Computer Interaction Institute at CMU in 2015. She also received a master's degree in human computer interaction from CMU in 2012 and received a BA in computer science from Tsinghua University in 2009.
Her research combines social science theory, quantitative methods, and computational techniques (machine learning and statistics) to understand the principles underlying large-scale online social systems such as peer production communities (e.g., Wikipedia and StackOverflow), social networking sites (e.g., Facebook and Twitter), massive online open classes (e.g., Coursera) and sharing economy systems (e.g., Uber, Airbnb and Couchsurfing). She is a recipient of several awards, including best paper honorable mentions in CSCW’ 2012, CHI’ 2013, Human Factor Prize 2013', and Facebook fellowship 2014-2015
- How to best organize individual contributors with differing goals, experience, and commitment to achieve a collective outcome.
- How peer production communities transfer best practices from one unit to another to improve performance.
- How peer production communities survive and succeed in a large ecosystem of related communities.
- How peer production communities compete against, and also learn from each other.
Social Network and Social Influence
- How often people’s choices are changed by others’ recommendations when facing different levels of confirmation and conformity pressures [American Behavioral Scientist 2013].
Learning, Peer Feedback and Peer Assessment
- Effectiveness of peer feedback and assessment on learning outcomes and productivity.
- Zhu, H., Kraut, R.E., & Kittur, A., (2013) Effectiveness of Shared Leadership in Wikipedia. Human Factors: The Journal of the Human Factors and Ergonomics Society. 2013 Human Factors Winning Paper.
- Zhu, H., Huberman, B.A., (2014) To Switch or Not To Switch: Understanding Social Influence in Online Choices. American Behavioral Scientist.
- Zhu, H., Kraut, R.E., & Kittur, A., (2016). A Contingency View of Transferring and Adapting Best Practices within Online Communities. In CSCW ’16: 19th ACM Conference on Computer Supported Cooperative Work & Social Computing Proceedings.
- Zhu, H., Kraut, R.E., & Kittur, A., (2014). The Impact of Membership Overlap on the Survival of Online Communities. In CHI’2014: Proceedings of the 2014 annual conference on Human factors in computing systems. New York: ACM Press.
- Zhu, H., Kraut, R.E., & Kittur, A., (2012) Organizing without formal organization: Group Identification, Goal Setting and Social Modeling in Directing Online Production. CSCW’2012 Proceedings of the ACM conference on computer-supported cooperative work.