The aim of this track is to discuss the development and application of analytic problem-solving techniques, including simulation, optimization, and statistical analysis, which can help improve decision making in the context of disaster operations management (DOM). The development of such techniques is critical as part of an integrated approach that combines the various aspects of DOM to support informed and effective decision making. Such analytic tools are useful not only for organizations but also for the individuals who are responsible for making time-critical emergency management decisions under conditions of great uncertainty. They can also be useful in support of more effective, personalized emergency response systems for those who are directly affected by a disaster.
This track invites both theoretical and applied research papers discussing topics relevant to the concepts of modeling and simulation. Its overall purpose is to provide a dedicated venue for such research to be shared and discussed, and thus to highlight the breadth and depth of efforts to improve the effectiveness and efficiency of managing disaster operations. In honor of this year’s conference theme, submissions which explicitly consider Individual-Centric Emergency Management Systems will be particularly welcome.
Both standard paper presentations and table-top demonstrations of interactive models and simulation exercises will be considered. The preference would be to have several sessions with multiple interactive components, rather than splitting sessions between the two types of content delivery.
Possible topics of interest for this track include the following:
- Quantitative modeling and process optimization associated with mitigation, preparedness, response, or recovery
- Modeling and analysis of disaster resilience
- Simulation modeling and analysis
- Stochastic optimization and modeling
- Data mining and information analysis