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Explore a comprehensive lecture on network analysis methods for participatory urban projects, focusing on citizen science initiatives and community engagement patterns. Learn how statistical and network science approaches can decode user behavior and interactions in urban settings, with specific examples from the iNaturalist community and City Nature Challenges (2017-2020). Discover computational techniques for analyzing spatio-temporal evolution of citizen science communities, and examine participatory modeling and simulation practices implemented across Europe and Asia for enhanced urban participation. Delivered by Dr. Liubov Tupikina, a postdoctoral researcher at Ecole Polytechnique specializing in graph theory, network applications, and complex systems, this talk provides valuable insights into leveraging data analysis for more participatory city development.
