GIScience專題演講

講者：Prof. Chang-Tien Lu （呂昌田教授, 美國維吉尼亞理工學院資工系）
講題： AI-Driven Forecasting: Harnessing Social Media for Event and Epidemic Prediction

時間：2025 年 5 月 27 日(二) 14:00-16:00
地點：人社中心第一會議室及 Webex 線上直播

Webex會議號：2644 907 0273 密碼：0527

Abstract:

Social media data offers a powerful tool for predicting and responding to global challenges. This talk explores AI-driven techniques for forecasting societal events and epidemics. I will introduce an automated system that leverages time-dependent patterns in open-source data from platforms like Twitter, blogs, and news articles to predict societal disruptions such as natural disasters and public demonstrations. Additionally, I will present SimNest, a deep learning framework that integrates computational epidemiology with social media data for real-time outbreak monitoring. Lastly, I will discuss a multi-task learning model that enhances event forecasting across regions, addressing data imbalances and geographic variations. These approaches demonstrate how AI and social media analytics enhance prediction accuracy, support timely interventions, and strengthen crisis preparedness.