SMART CITIES, SMART STATES?
Sensors and intelligent infrastructure get most of the attention, but the move toward smart government is really a colossal information management challenge. That was one conclusion of a state and local panel on the evolution of smart government initiatives.“There will be a flood of data coming in,” said Bill Haight, CIO of Salt Lake City, during the Monday panel. ”So this is much more about managing and interpreting that new data and condensing it down into a product that can be used to make decisions.”
Panelists added that there will be an important interplay between states and cities as smart initiatives roll out. Both have a direct opportunity to improve government services by harnessing data for better decision-making. But states also will influence city activities through policy-making.
“What states do will impact smart cities through regulatory action on broadband, education policy and other areas,” said Illinois CIO Hardik Bhatt.
DATA IS FOR KIDS
Salt Lake County Mayor Ben McAdams offered a compelling example of the power of data to improve the lives of citizens and make government more efficient. Low-income kids, he explained, typically enter kindergarten knowing just 300 to 400 words, compared to about 1,100 words for average incoming students. County data showed that the gap never closes for most low-income children, leading to years of remedial education at an annual cost of $2,500 per child.A year of preschool education, however, evens the score. In Salt Lake County, a pilot put 110 children through a year of preschool -- at a one-time cost of $2,700 per student -- closing the word gap and keeping all but one of those kids out of remedial education. A social impact bond from Goldman Sachs covered the preschool costs, and is expected to reap an ROI of 5 percent to 7 percent based on the projected savings from remedial education that will no longer be needed.
“Harnessing data can help us better understand the work that we do,” McAdams said. "We can understand what works and take those programs to scale.”
FOLLOW THE LEADER
Indiana, North Carolina and Michigan were held up as examples of successful state data analytics pioneers, and others hoped to learn from their experiences. North Carolina Government Data Analytics Center Director John Correllus offered this advice to those looking to get started: “Start small and think enterprise.”Echoed by fellow panelists Eric Swanson, director of Michigan’s Center for Shared Solutions and Technology Partnerships, and Indiana CIO Dewand Neely, Correllus suggested snagging some high-impact quick successes to win over skeptics, while slowly building support for larger efforts. “I can get the heavy lift back-end stuff paid for with the shiny object on the front end,” Swanson said.
In North Carolina, the Department of Revenue offered the chance to use data to root out abuse, waste and fraud in tax programs. Results included a dramatic increase in fraud-related indictments, as well as savings to the state of more than $1 million.
