Team Building for Year 2 students

Date: 5 September 2026 (Saturday)

Time: 9:00 a.m. to 6 p.m. (TBC)

Venue: TBC

Program fee: HK$1,000 (Upon successful completion of the program, 50% of the fee (HK$500) will be refunded.)

Bad weather contingency: 12 September 2026 (Sat)

About the Workshop

In the context of climate change, extreme natural hazards—such as landslides, debris flows, and floods—are occurring with increasing frequency and intensity. Rapid urban expansion and socioeconomic development have significantly increased exposure to these hazards. To effectively reduce disaster risks, there is an urgent need for more efficient and integrated disaster management tools. Recent advances in Digital Twin (DT), Artificial Intelligence (AI), and Remote Sensing have opened new opportunities for improving natural hazard risk management.
The International Workshop on Digital Twin and AI Empowered Emergency Risk Management will bring together leading researchers, practitioners, and policymakers to explore how these advanced technologies can enhance resilience and decision-making, and to advance the technologies themselves.
CPD certificates will be issued to attendees per request.

Scope & Topics
The workshop welcomes contributions related to, but not limited to:
• Digital twin modeling
• Geospatial big data analytics for disaster risk reduction
• AI-driven risk analysis, forecasting, and early warning
• Remote sensing and IoT for real-time monitoring
• Urban resilience and infrastructure risk management
• Societal response monitoring and analysis
• Emergency management technologies

Organized by

The Hong Kong University of Science and Technology

The University of Hong Kong

Supported by

International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE) TC210 on Embankment Dams and TC304 on Machine Learning

The Hong Kong Institute of Engineers (HKIE) Geotechnical Division

American Society of Civil Engineers (ASCE) Greater China Section

Tentative Workshop Program
7 August 2026 AM
Keynote and invited lectures
7 August 2026 PM
Keynote and invited lectures, parallel sessions
8 August 2026 AM
Keynote and invited lectures, parallel sessions

Registration Fees
Regular delegates                   HKD 1500
Invited speakers or Students  Free

Contact
Candy Chen:
cecandy@ust.hk
Jian He:
hejian@ust.hk
Luyu Ju:
luyuju@ust.hk

Website:
https://georisk.hkust.edu.hk/events