6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland

1. Data and Modeling for Emergency Management
From Complex Data to Practical Decisions
DR. ELLIE GRAEDEN, MICHAEL VAN MAELE, DR. JUSTIN KERR
TALUS ANALYTICS LLC, BOULDER, COLORADO, USA

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 Understand the data and analytical tools available
 Perform quantitative, systems-level analysis of information
sources
 Improve data-sharing and information usage
 Develop intuitive analysis and data visualization tools that
translate the results for operational users
 Tailor risk analysis to resilience metrics
Understanding risk to improve resilience

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 Modeling and Data Working Group appointed by the
United States Emergency Support Function Leadership
Group in 2012
 Tasked to identify the datasets and models used by the
US federal emergency management community to
support operational decision making
 Completed analysis for hurricanes, earthquakes, flooding, nuclear
detonation scenarios, and biological outbreaks
 Completed approximately 350 interviews
 Identified and vetted over 600 models and datasets
 Approximately 300 met criteria, included in interactive database
Introduction to the MDWG

4. An ontology of information use

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Network analysis: Information flow

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Information bridges: Centrality

7. Information flow at the systems-level

8. When is the information used?

9. Who coordinates information sharing?

10. Easy access for users
http://gis.fema.gov/Model-and-Data-Inventory/

11. The details relevant to users

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 What information is available?
 How does information move between datasets and
models?
 Who coordinates the information movement?
 What is working well?
 Where are the gaps?
 How do we most effectively target investments?
Information coordination for emergency
management and resilience

13. Questions?