How can we better understand how people learn, collaborate, and innovate together?

In this talk at the ACROSS Lab seminar in Hanoi, I presented how network science approaches can be used to study collaborative learning and problem-solving. Drawing from projects ranging from synthetic biology competitions to citizen science initiatives, I discussed how analyzing interaction patterns and participation dynamics can reveal key factors driving team performance, learning diffusion, and community resilience.

📄 Slides