Esteban’s work lies in the intersection of big data and computational social science, with special attention to human dynamics, collective intelligence, social networks and urban mobility in problems like viral marketing, natural disaster management, or economical segregation in cities.
Esteban is creative and exploring in his work, and has made important contributions in a number of topics, especially recently using massive datasets to understand problems like how humans communicate, how to political opinion spreads in social networks or building alternative wellbeing indexes.
In our conversation, we talk about his career, his science, and go deep with his 2011 paper “Dynamical strength of social ties in information spreading”, which is not only an interesting paper … but also comes with a very nice story of how we can build communities in science by collaborating even between competing groups.
Listen at: toolazy.buzzsprout.com
Complexity Digest 