Social and Behavioral Dynamics

Exploring complex social dynamics in physical space and in online communities, that shape the natural and built environment

Our research focuses on modeling complex social dynamics both in physical spaces and online environments, by exploring key phenomena such as behavioral contagion, norm emergence, group formation and collective decision-making. Additionally, our work investigates the dynamics of online communities, studying how individuals interact and influence each other in digital spaces. This has implications on topics such as polarization, online engagement and the impact of social media on political discourse. By understanding these complex interactions, we aim to develop insights that can inform strategies for fostering positive social outcomes and address challenges within digital and physical communities.

Our focus

Digital Democracy

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Science of Teams

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Sports Analytics

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Opinion Dynamics

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Science of Purpose

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Explore our research

Featured projects

“Extreme” teams performance

We explore the dynamics and performance of “extreme” teams—such as those operating in space missions. Funded by NASA, our work examines how team composition, leadership structures, and social dynamics shape outcomes in high-stakes, high-stress environments. These insights inform the design of future long-duration space exploration teams and improve our understanding of team effectiveness in extreme settings.

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NetSI Sport

The NetSI Sport initiative explores the intersection of sports, networks, and data science, with the dual goal of advancing the sports analytics field through a complex-systems approach and developing educational programs that teach statistics, modeling, scientific computing, and complex systems through sports data. NetSI Sport leads workshops, Collabathons, partnerships with professional sports teams, and collaborations with international experts in the field.

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Science of Science

The convergence of network science theory with social and behavioral dynamics offers a powerful tool for understanding how scientific teams can maximize their impact. High-impact teams aren't just collections of competent individuals, but rather carefully orchestrated networks where the right connections between diverse expertise domains create the conditions for successfully achieving goals. By examining the intricate web of relationships, expertise flows, and collaborative patterns within research teams, we can identify the optimal network configurations that propel an effective and efficient collaboration.

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