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September 30, 2014 | 0 comments

With the Centers for Disease Control now forecasting up to 1.4 million new infections from the current Ebola outbreak, what could "big data" do to help us identify the earliest warnings of future outbreaks and track the movements of the current outbreak in realtime? It turns out that monitoring the spread of Ebola can teach us a lot about what we missed -- and how data mining, translation, and the non-Western world can help to provide better early warning tools: http://www.foreignpolicy.com/articles/2014/09/26/why_big_data_missed_the...