By Data-Smart City Solutions • February 28, 2020

GCN: How AI Helps Predict Fire Risk

Thanks to a risk assessment model that combines data with artificial intelligence, the Pittsburgh Bureau of Fire is able to target buildings that need fire inspections the most. The model displays the likelihood of a fire event at a location with a score of 1 to 10, so that high-risk buildings and areas are prioritized for fire inspections. 

Springfield News-Sun: Clark County Residents, Agencies Track Crash Data In New Ways

The Ohio State Highway Patrol has updated their open crash data tool to include new, detailed crash details like driver age, if bicycles were involved, and density of crashes by location. This enhanced data tool is meant to provide better information for outside agencies and accident-prevention community organizations. 

Brink News: How a Government Innovation Office Aims to Modernize Its Services

This interview with New Jersey Chief Innovation Officer Beth Noveck breaks down the purpose of a Chief Innovation Officer, how to drive internal and external change, and how governments can generate innovation, with specific discussions about the future of work and digital equity.  

Texas Public Radio: Garbage Trucks And Potholes: San Antonio Launches Research And Development Program To Solve Problems

San Antonio is launching the “R&D League,” a public-private-academic partnership to help the city increase efficiency, improve equitable service delivery, and make data-driven decisions. One project that the League is working on will enlist the city’s fleet of garbage trucks as road-mappers to identify where street improvements are needed. 

The Harvard Gazette: The Good, Bad, And Scary Of The Internet Of Things

Harvard researchers are digging into the Internet of Things, developing frameworks around privacy, safety, and regulations. Asking the question “is the Internet of Things a future utopia, or is it a future dystopia?” professors and students are exploring models that will help emphasize the good while minimizing the bad and scary.