AI for Epidemic Control

Harnessing artificial intelligence and digital earth technologies for epidemic prevention and control

Workshop Description

The global COVID-19 pandemic underscored the critical need for innovative, scalable, and adaptive solutions to address the complexities of epidemic prevention, mitigation, and response. As infectious disease threats continue to evolve in an interconnected world, artificial intelligence (AI) has emerged as a transformative tool to revolutionize epidemic control. By integrating vast datasets, advanced computational models, and real-time analytics, AI enables unprecedented capabilities in early detection, predictive modeling, and decision-making under uncertainty.

This workshop focuses on leveraging AI technologies and digital earth platforms to enhance capabilities in epidemic surveillance, prediction, and intervention strategies. We will explore cutting-edge AI methods, spatial-temporal modeling techniques, and data fusion approaches that contribute to more effective epidemic control systems. The session aims to bring together researchers, practitioners, and policymakers to discuss innovative solutions and share best practices for pandemic preparedness and resilience.

Topics of Interest

Topics of Interest

Workshop Chairs

Wei Luo

Geography Department and Saw Swee Hock School of Public Health
National University of Singapore

Yin Ling

Shenzhen Institute of Advanced Technology,
Chinese Academy of Sciences

Committee Members

Coming soon...

Workshop Details

Duration
Half-day

Format
In-person presentations and discussions

Date
December 2–4, 2025

Workshop Contact

Dr. Luo Weiv
geowl@nus.edu.sg

Submit Your Abstract