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Much as meteorologists predict the path and intensity of hurricanes, Indiana University's Alessandro Vespignani believes we will one day predict with unprecedented foresight, specificity and scale such things as the economic and social effects of billions of new Internet users in China and India, or the exact location and number of airline flights to cancel around the world in order to halt the spread of a pandemic.
Researchers have already shown they can track the movement of as many as 100,000 people at a time over six months using mobile phone data, and use worldwide currency traffic as a proxy for human mobility. There are sensors and tags generating data at micro, one-to-one interaction levels, much as Bluetooth, Global Positioning Systems and WiFi leave behind detailed traces of our lives.
Such are some of the new sources of basic information that researchers are using to gain knowledge about aggregated human behavior. This new "reality mining" should in turn enhance the ability of researchers and scientists to accurately forecast the effects of phenomena like catastrophic events, mass population movements or invasions of new organisms into ecosystems, Vespignani said.