DRS-7-2014 Crisis management topic 7: Crises and disaster
resilience – operationalizing resilience concepts
PRIMED: Pareto-optimal Resilience In Major
European Disasters
Dr Glenn Hawe and Professor Hui Wang
University of Ulster, Compute Science
gi.hawe@ulster.ac.uk , h.wang@ulster.ac.uk
Willing to coordinator
PRIMED
Pareto-optimal Resilience In Major European Disasters
Aim:
To determine the combinations of disaster management
policies across different ECI which lead to resilience which can
be described as “optimal”
Objectives:
1. Determine how different preparedness and mitigation
policies across Europe influence X (for various ECIs)
2. Determine how different response and recovery policies
across Europe influence T (for various ECIs)
3. Determine the interdependence of resilience curve
shapes across different (1) ECIs (2) countries
4. Through computer experiments, determine “management
cycles” which lead to resilience which is Pareto-optimal
Project team
Ulster expertise
• Machine learning
• Knowledge
representation
• Multi-criteria decision
making / optimization
• Agent-based modelling
and simulation of
emergency services
Desired Partners
• Civil contingency units
• Environment agencies
• Transport agencies
• Utility companies
• Modelling and
simulation experts