1 / 3

DRS-7-2014 Crisis management topic 7: Crises and disaster resilience – operationalizing resilience concepts

DRS-7-2014 Crisis management topic 7: Crises and disaster resilience – operationalizing resilience concepts. PRIMED: P areto-optimal R esilience I n M ajor E uropean D isasters. Dr Glenn Hawe and Professor Hui Wang University of Ulster, Compute Science

ugo
Download Presentation

DRS-7-2014 Crisis management topic 7: Crises and disaster resilience – operationalizing resilience concepts

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DRS-7-2014 Crisis management topic 7: Crises and disaster resilience – operationalizing resilience concepts PRIMED: Pareto-optimalResilienceInMajorEuropean 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

  2. PRIMEDPareto-optimalResilienceInMajorEuropean Disasters Aim: To determine the combinations of disaster management policies across different ECI which lead to resilience which can be described as “optimal” Objectives: • Determine how different preparedness and mitigation policies across Europe influence X (for various ECIs) • Determine how different response and recovery policies across Europe influence T (for various ECIs) • Determine the interdependence of resilience curve shapes across different (1) ECIs (2) countries • Through computer experiments, determine “management cycles” which lead to resilience which is Pareto-optimal

  3. 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

More Related