The Collaborative Social Systems Lab, directed by Christoph Riedl, explores collaboration in distributed environments: how can individuals solve challenging global tasks in social networks from only local, distributed interactions? We use agent-based modeling, conduct lab and field experiments, and analyze large datasets to study how networked interactions influence human behavior, strategies, and success.
“Zoom calls can be too formal. These alternatives encourage casual chatting,” Fast Company.
“Remote workers want to re-create those watercooler moments, virtually,” MIT Technology Review.
“Water cooler moments don’t have to disappear in the virtual workplace,” Quartz.
“App developed at MIT, Northeastern looks to connect strangers via video chat," Boston Globe.
Incentives, competition, and inequality in markets for creative production. Balietti, S., Riedl, C. (2021). Research Policy, 50(4), 104212. Replication data.
Spite is Contagious in Dynamic Networks. Fulker, Z., Forber, P., Smead, R., Riedl, C. (2021). Nature Communications, 12(260). Replication data, open access PDF.
Successful Remote Teams Communicate in Bursts. Riedl, C., Woolley, A. (October, 2020). Harvard Business Review.
Online Mingling: Supporting Ad Hoc, Private Conversations at Virtual Conferences. Song, J., Riedl, C., & Malone, T. W. (July, 2020). In Private Conversations at Virtual Conferences.
Strategic Behavior in Contests with Ability Heterogeneous Contestants: Evidence from Field Data. Riedl, C., Grad, T., & Lettl, C. (2020). Available at SSRN.