Aided by embedded sensor networks and intelligent algorithms that provide only important data to human analysts, governments gain the capability to enforce regulations at a hyper-local level, driving greater compliance with environmental laws. They also leverage predictive models as a kind of force multiplier, using data to profile regulated organizations and identify which are most likely to be negligent. Third parties also get into environmental monitoring. Efforts are made to integrate data from environmental advocates and third parties with government data to create a more holistic view of the current state of the environment.
New York City’s fire department inspectors used predictive analytics to discover that landlords behind on their property taxes are also likely to maintain substandard and fire-prone buildings.