Prepare for the Possibility: Response and Recovery

1. Prepare for the Possibility: Response and Recovery Steve Goddard Computer Science & Engineering University of Nebraska-Lincoln

2. Outline • Tool Suite Overview • Architecture and tool description • Leveraging prior results • Reduces cost and time to deliver • Reduces schedule and technology risk • Applying the Technology Suite • Example Scenario • Demonstration of GIS technology and related prototype tools • Risk Communication • Recovery Process

3. Distributed Architecture and Tools

4. Early Alert Tool

5. Incident Management Tool

6. Distribution and Tracking Tool

7. Simulation Engines • The macro-level simulator provides simulations of the distribution of contaminated foods and support for the QTRIM model. • The micro-level simulator modes food engineering/food processing operations. • Integrate industry standard simulators with models, where possible . • E.g., SuperPro Designer • Need to capture the engine but not necessarily the GUI

8. Presentation (User Interface) e.g., Web Interface, Java applet Data cache Data cache Knowledge Layer Knowledge Layer HTTP HTTP e.g., Data Mining, Exposure Analysis, Risk Assessment e.g., Exposure Analysis, Risk Assessment IIOP IIOP RMI RMI TCP TCP Data cache Data cache Information Layer Information Layer e.g., Drought Indices, Regional Crop Losses e.g., Drought Indices, Regional Crop Losses Data cache Data cache Distributed Spatial and Relational Data Distributed Spatial and Relational Data e.g., Climatic Variables, Agricultural Statistics e.g., Climatic Variables, Agricultural Statistics Leveraging Prior Results:National Agricultural Decision Support System

9. Leveraging Prior Results:National Agricultural Decision Support System

10. National Agricultural Decision Support System(NADSS) Tools • The NADSS tools apply risk analysis methodologies to the study of drought and its impact on crops • Integration of basic models with data generates “information” for analysis by decision makers • Information can be gathered at any resolution for which we have data • http://nadss.unl.edu

18. Building a Risk Assessment • By combining several domain specific factors from our “information layer” we are able to create maps displaying the risk of crop failure for states, regions or counties The result is a “spatial” view of risk An expert adjusts weight factors for each variable The risk calculator combines the variables

19. Applying the Technology Suite • Example Scenario • Demonstration of GIS technology and related prototype tools

20. Here’s Jeff!! • Jeff does his demo….

21. Risk Communication • ?? • ??

22. Here’s Mario!! • Mario does his thing….

23. Recovery • ?? • ??