[CANCELED][4/9] Dr. Ronald Burt's visit and lunch talk

The visit is canceled because of COVID-19. We will update you if we have further information.

Please save the date for Dr. Ronald Burt’s visit and lunch talk at UT Austin. He will be available to meet students (9:30-11am) and faculty (2:30-3:30pm). Please RSVP here.

  • Lunch talk topic: Trust and cooperation beyond the network
  • Time: 4/9/2020, 12:00-13:30
  • Lunch talk location: Bass Lecture Hall at the LBJ School
  • Abstract: This work has two goals: explore the research strategy of combining incentivized game behavior with large area probability surveys, and use the research strategy to explore how the network structure around a person predicts trust and cooperation beyond the network. Reasoning from research within networks, we hypothesize that network closure has a negative effect on trust and cooperation beyond the network. We find empirical support for the hypothesis in game play and network data on a large area probability sample of Chinese CEOs. More, success is the tonic that animates the hypothesis. Trust and cooperation from CEOs running less successful businesses is independent of their network. In contrast, successful CEOs with closed networks are particularly likely to defect against people beyond their network, and successful CEOs with open networks are particularly likely to cooperate beyond their network. We demonstrate the robustness of our empirical evidence, and discuss future use of incentivized games to obtain behavioral data from respondents in large area probability surveys.

“Ronald Stuart Burt is an American sociologist and the Hobart W. Williams Professor of Sociology and Strategy at the University of Chicago Booth School of Business. He is most notable for his research and writing on social networks and social capital, particularly the concept of structural holes in a social network.” (Wikipedia introduction)


This is a Data Science Speaker Series event and sponsored by the RGK Center for Philanthropy and Community Service and Research Design Working Group.

Leave a Reply