Better air-quality stats — using data science, sensors, and ladders

One recent Friday morning in Oakland, Calif., Alexis Shusterman rode the bus to the end of the line and walked up to Montclair Elementary School carrying a backpack full of tools: a tiny computer screen, a keyboard, and a light-up extension cord that she uses to test whether an outlet is live or dead. When you install and maintain atmospheric testing equipment on the rooftops of strangers, you quickly come to cherish a good outlet.Here’s how I wound up with Shusterman that day: A few months ago, I wrote an article about Aclima, a company that was trying to generate more fine-grained, location-specific air quality maps by networking together a lot of low-cost air quality sensors, generating tremendous amount of data, and then writing programs that comb through that data, looking…


Link to Full Article: Better air-quality stats — using data science, sensors, and ladders