← Back to Sessions

Exploring the Capabilities of Llms for Earthquake Science: A Case Study on Macroseismic Intensity Measurement

Description: 

Generative AI and Large Language Models (LLMs) have recently emerged as transformative technologies, revolutionizing various fields with their ability to generate complex outputs across diverse modalities. While these models have driven significant advancements in areas like natural language processing and computer vision, their potential for scientific applications remains largely unexplored. This study investigates the capabilities of LLMs to advance seismological research and enhance societal resilience to natural disasters. Using Gemini, Google's most capable LLM, we estimate earthquake ground shaking intensity from multimodal social media posts and show how these estimates align with independent observational data. We demonstrate how Gemini can contribute to a deeper understanding of earthquake impacts, improve natural disaster mitigation strategies, and potentially aid in rapid earthquake response and damage assessment. Through this example application, we aim to showcase the power and potential of generative AI and LLMs for applications in seismology and earthquake science.

Session: Macroseismic Intensity: Past, Present and Future - I

Type: Oral

Date: 4/17/2025

Presentation Time: 02:45 PM (local time)

Presenting Author: S. Mostafa

Student Presenter: No

Invited Presentation: 

Poster Number:

Authors