Five state health and human services agencies have deployed a joint fraud detection system that fights waste and abuse in the Supplemental Nutrition Assistance Program.
With the Collaborative Advanced Analytics and Data Sharing toolkit, the Centers for Disease Control and Prevention made sense of an outbreak in days rather than months.
The Supervised Release File Project notifies officers nationwide in real time when they encounter one of the more than 15,000 individuals under parole supervision in New Jersey.
Data from mobile phones, social media and even grocery scanners has been shown to be effective at identifying patterns in epidemics.
Alaska adopted an Internet Protocol mapping and tracking detection tool to ensure only state residents are benefiting from its oil and gas profits return program.
Researchers at the National Institutes of Health conducted a head-to-head comparison of compute power of a cloud platform vs. a dedicated bioscience Linux cluster.
Leveraging new algorithmic and statistical tools, researchers created a significantly more complete picture of the risks and challenges in Flint.
The challenge will award $40,000 in seed money to two communities that demonstrate the best air quality data collection and sharing strategies.
By offloading compute-intensive portions of its tracking application from the central processor to the GPU, USPS can analyze its geolocation data faster.
Predictive analytics will help New Hanover County, N.C., better identify and track children at risk of abuse and neglect.
The city posts the code for its CityScore performance management dashboard on GitHub.
The first sensors in Chicago’s Array of Things project have been installed; 50 are expected to be mounted by September.