Big Data is a revolution that businesses and some governments are embracing because of its problem-solving potential. One of Big Data’s most common uses is data collection. The low price of installing remote sensors across a wide area allows an institution to get much more fine-grained information about real conditions.
Chicago is starting a new program where it will install “hundreds of environmental sensors that will measure temperature, humidity, light, sound and cellphone signals” around the city. If the program works as designed, major economic, safety and environmental advantages should be realized. Take snow removal. Temperature and precipitation information provided by sensors will help snow removal teams to clear only the areas that need treatment. Prioritizing roads that need treatment first will save lives. Money and resources are saved as areas that don’t need treatment won’t get it. And if less chemicals are spread on roads, there’ll be less to run off into critical waterways, like Lake Michigan.
Other smart city programs–crime prevention and traffic management to name two–have been adopted by cities around the world. If Chicago’s experiments are successful, their methods will undoubtedly be adopted by other municipalities.
Supreme Court Justice Louis Brandeis famously said that “states may…serve as a laboratory; and try novel social and economic experiments without risk to the rest of the country.” Cities–as Bloomberg’s New York did and now Emanuel’s Chicago does demonstrate–are also laboratories for Big Data solutions.