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
- AI-driven Early Surveillance and Alert Systems for Emerging Infectious Diseases;
- AI-aided Predictive Modeling of Epidemic Transmission Risk
- AI-enhanced Simulations for the Spatiotemporal Spread of Infectous Diseases;
- AI-powered Optimization for Epidemic Control
- Human Behavior Modeling for Epidemic Response using AI Tools.
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
geowl@nus.edu.sg