The Scalable Cooperation group at MIT Media Lab focuses on understanding and designing large-scale social systems for a digital world. They explore the behaviour of networks, specifically how they influence collective intelligence, collaboration, and conflict.
Their work encompasses three key themes: networked cooperation, collective intelligence, and system resilience. Networked cooperation investigates how network structure influences cooperation, using online platforms as a testing ground. Collective intelligence looks at how to harness the wisdom of the crowd, while system resilience explores how systems respond to shocks and unexpected events.
The group has developed several tools and platforms, including a platform for conducting online behavioural experiments, a tool for visualising global trade data, and a system for mapping the spread of ideas. They have also produced a range of publications on topics such as the limits of social learning in complex networks, the role of bots in shaping public opinion, and the impact of network structure on public goods.
Their research has implications for various fields, from economics and political science to computer science, suggesting that understanding network behaviour can lead to more effective design of social systems.
Go to source article: http://scalable.media.mit.edu/#publications