Streamlining grants management with machine learning -- GCN

"For agencies that are looking to leverage predictive analytics and machine learning, you have to be willing to share information, and you will get better results over time," Julius Chang, program director of the System and Support Division at GrantSolutions.gov, said at a June 27 Government Executive event. "At GrantSolutions, we are doing a pilot on machine learning and data analytics that can yield predictive analytics capabilities that will improve the workflow and results through our systems." Machine learning can be used to determine which applications are likely to be accepted or rejected, Chang said. With a machine learning program that reviews applications when they come in, grants officers could spend more time on "good applications," and the "likely rejected applications" could be handled by a lower level specialist. The machine learning system can predict with 96 percent accuracy whether applications will be rejected because they are poorly written, Chang said.