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Twitter Data Predicts Storm Damage Better Than FEMA Models

Some Australian researchers have determined that Twitter analysis was slightly better than FEMA's own models in predicting the location and severity of damage that resulted from Superstorm Sandy. “The main advantage of the technique is that it is a ‘virtually zero-cost solution,’ Manuel Cebrian, co-author of the report, tells Science magazine.

Read the whole story at Science Daily »

1 comment about "Twitter Data Predicts Storm Damage Better Than FEMA Models".
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  1. Randall Tinfow from CLICK-VIDEO LLC, March 14, 2016 at 1:57 p.m.

    There is an app development outfit that is taking social media input, aggregating it with FEMA, and delivering it to local and county governments at the Jersey Shore.  Good reports.


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