Limited time and resources mean that emergency management specialists are always prioritizing and planning, whether they are doing so consciously or not. Part of how this prioritization takes place is in the planning that results from lessons learned, the predictive analytics used during an emergency, and the investments in preparedness to mitigate forecasted hazards and risks. A 21st century emergency management plan is one that makes maximum use of the best information available and delivers it to the key stakeholders on the ground. This course will teach students better manage and prepare for emergencies through effective information management. The course is organized around an analytic model of teaching students to House, Extract, Analyze (HEA) information for (1) retrospective analysis, (2) predictive analytics, and (3) preparedness.
Data Analytics for Emergency Response 1 will cover natural disasters including hurricanes, public health emergencies and earthquakes.