A new Innovation Generation grant from the Motorola Solutions Foundation will help Array of Things expand its educational curriculum to additional Chicago Public Schools classrooms in 2018. Building upon two successful years of workshops with over 300 students at Lane Tech High School, the program will train teachers and package materials for a hands-on experience with the Internet of Things, coding, data science, and other key computer science and technology concepts.
For the second year running, Array of Things worked with Chicago’s Lane Tech High School on a workshop curriculum called “Lane of Things.” Over eight weeks, students in Lane Tech’s Innovation and Creation Lab and Physical Computing Lab worked with scientists and designers from the Array of Things project on designing and building their own sensor boxes. Teams then deployed those boxes around the school, collecting data on foot traffic, air quality, noise, student behavior, and more.
This week in Chicago, the Array of Things team begins the first phase of the groundbreaking urban sensing project, installing the first of an eventual 500 nodes on city streets. By measuring data on air quality, climate, traffic and other urban features, these pilot nodes kick off an innovative partnership between the University of Chicago, Argonne National Laboratory, and the City of Chicago to better understand, serve, and improve cities.
In the first phase of the project, 50 nodes will be installed in August and September on traffic light poles in The Loop, Pilsen, Logan Square, and along Lake Michigan. These nodes will contain sensors for measuring air and surface temperature, barometric pressure, light, vibration, carbon monoxide, nitrogen dioxide, sulfur dioxide, ozone, and ambient sound intensity. Two cameras will collect data on vehicle and foot traffic, standing water, sky color, and cloud cover.
“The Array of Things will create a new public utility of open data for the citizens of Chicago,” said Charlie Catlett, director of the Computation Institute’s Urban Center for Computation and Data and senior computer scientist at Argonne. “The unprecedented flow of data from these sensors will create exciting new opportunities for research, technology development and education that will enrich our knowledge about the city.”