Adaptive Cross-City Disaster Sentiment Learning Social-media models often reproduce urban bias because data-rich cities dominate online discussion while rural and disadvantaged communities remain underrepresented. This project develops a context-sensitive framework for more equitable disaster sentiment understanding.
Wildfire Information Ecosystems and Political Polarization Wildfire communication now unfolds in a digital environment shaped by political identity, engagement ranking, and polarized online communities. This project studies how these structural conditions influence institutional trust during crises.
Multimodal Earthquake Damage Evaluation Rapid earthquake assessment is limited by sparse ground sensors and delayed official reporting. This project investigates whether multimodal, multilingual social-media observations can provide complementary, fine-grained evidence immediately after an event.
