The aim of the Analytical Modeling and Simulation track is to discuss the development and application of analytic problem-solving techniques, including simulation, optimisation, and statistical analysis, that can improve decision-making in the face of the interconnected risks shaping our world today. Developing these techniques is critical to an integrated and interdisciplinary approach that combines different aspects of crisis management to support informed and effective decisions.
The track invites both theoretical and applied research papers on topics relevant to modelling and simulation. Its purpose is to provide a dedicated venue where this research can be shared and discussed, highlighting the breadth and depth of efforts to improve the effectiveness and efficiency of crisis management. In honour of this year’s conference theme, submissions explicitly focusing on natural hazards, remote and rural community resilience, and Indo-Pacific regional collaboration are especially welcome.
Topics of Interest
Topics include, but are not limited to:
- The crisis-management lifecycle, with a particular focus on community involvement.
- Quantitative modelling and optimisation for mitigation, preparedness, response, or recovery.
- Modelling and analysis of disaster resilience.
- Comparative analysis of AI-enabled crisis management.
- Simulation modelling and analysis, including agent-based simulation and system dynamics.
- Stochastic optimisation and modelling, including emerging quantum and quantum-inspired computational approaches.
- Data mining and information analysis, including AI-driven analytics.
Track Chairs
| Role | Name | Affiliation | |
|---|---|---|---|
| Corresponding Chair | Christopher W. Zobel | Virginia Tech | czobel@vt.edu |
| Co-chair | Josey Chacko | Mount St Mary’s University | chacko@msmary.edu |
| Co-chair | Milad Baghersad | Florida Atlantic University | mbaghersad@fau.edu |
| Co-chair | Duygu Pamukcu | Providence College | dpamukcu@providence.edu |