Dr. Lei Zou Gives Invited Talk on Geospatial Data Science for a Climate-Resilient Future

Dr. Lei Zou recently delivered an invited talk at the Department of Atmospheric Sciences on "Expect the Unexpected: Geospatial Data Science for Climate-Resilient Future." His presentation explored how geospatial data science, AI, and deep learning enhance climate resilience by identifying and responding to unexpected climate-related challenges.

The talk focused on three key areas:

Unexpected Rescue Requests – Leveraging large language models (LLMs) to extract geolocation data and rescue categories from social media posts during natural disasters, aiding emergency response.

Unexpected Property Damage – Using pre- and post-disaster street view imagery with deep learning to assess the impact of natural disasters on buildings, improving damage assessment accuracy.

Unexpected Health Disparities – Examining how climate change disproportionately affects public health, with geospatial analysis identifying vulnerable populations and regions.

Dr. Zou emphasized the importance of geospatial AI in improving disaster response, urban resilience, and health equity in the face of climate change. His talk fostered discussions on data-driven strategies for climate adaptation and real-time disaster management.