Spatial Data Science Symposium

At the Fourth Spatial Data Science Symposium, our wildfire resilience work was part of a session on spatial data science for disaster resilience. The broader session highlighted how geospatial data, mobility traces, social media, sensors, and machine learning can help researchers understand human-environment interactions during and after disasters.

Our presentation focused on using human mobility data and network analysis to examine how communities respond to major wildfires in California. The core idea is that resilience is not only a static community attribute; it can also be observed dynamically through changes in movement, connection, robustness, and vulnerability over time.

Links: Project page · Talks page