Event Summary
Organization: University of Colorado
Session Lead
- Keith Porter
Speakers
- Luke Barrington, Digital Globe
- Russell Deffner, Humanitarian OpenStreetMap Team
- Matt Kelsch, University Corporation for Atmospheric Research
- Lise St. Denis, Project EPIC
Description
Models of earthquakes, windstorms, floods, and other perils necessarily touch on disaster effects on people. But catastrophe models sometimes break down in their understanding of human behavior and public preferences. They sometimes rely on data that only lots of people can provide. Citizen scientists can help risk models to better reflect the interaction between people and the built environment. They can help modelers correctly place people of various demographic groups in various settings at various times of day, and better understand human behavior in disasters. They can help engineers understand the public’s preferences for the performance of the built environment in natural disasters, and their preferred tradeoffs between costs and safety. And citizen scientists can collect and report data that instruments and remote sensing cannot. Let’s discuss how.
Presentations
Citizen Science Overview – Keith Porter
Digital Globe’s Contribution – Luke Barrington
Humanitarian OpenStreetMap Team’s Contribution – Russell Deffner
Citizen Science: Community Collaborative Rain, Hail and Snow (CoCoRaHS) observing network – Matt Kelsch