Earthquake Impact

Earthquake impact assessment is rapidly evolving, leveraging advancements in machine learning and natural language processing to analyze diverse data sources, primarily social media, for faster and more accurate estimations of both physical and social consequences. Current research focuses on developing sophisticated models, including large language models (LLMs) and other machine learning algorithms, to filter noise, classify relevant information, and quantify impacts from textual data. These improved analytical techniques offer significant potential for enhancing emergency response and resource allocation following seismic events, ultimately improving disaster resilience and saving lives.