Researchers have created software that predicts when and where disease outbreaks might occur based on two decades of New York Times articles and other online data. The research comes from Microsoft and the Technion-Israel Institute of Technology.
The system could someday help aid organizations and others be more proactive in tackling disease outbreaks or other problems, says Eric Horvitz, distinguished scientist and codirector at Microsoft Research
The system is actually cooler than the above quote makes it sound. It actually compares recent news stories to the software's archive to see what events typically follow after.
The example given is involves Angola. Reports of drought in 2006 and severe storms in 2007 fit into a pattern that suggested a cholera epidemic would follow. A few weeks after the storms, cholera broke out.
In similar tests involving forecasts of disease, violence, and a significant numbers of deaths, the system’s warnings were correct between 70-90% of the time.
I swear that we're getting closer to something like Asimov's "psychohistory" all the time.
(Source: Mashable)











