Browse Exhibits (6 total)

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Smart Green Infrastructure Management System

The Smart Green Infrastructure Management (SGIM) System is a way to naturally handle urban flooding.  The system uses planters, bump outs, and permeable pavement to allow rainwater to soak into the ground as opposed to drain into the sewer system. 

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Chicago Smart Lighting Program

“This project is a win-win  it will deliver one of the largest lighting modernization programs in the country while addressing one of the top reasons residents call 311.”

—Mayor Rahm Emanuel

The Chicago Smart Lighting Program is a four-year city-wide lighting initiative designed to convert over 270,000 outdated high pressure sodium (HPS) light fixtures to energy-efficient LED streetlights.

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North Branch Framework Plan

The North Branch Framework is a land use plan for 760 acres along the Chicago River between Kinzie Street and Fullerton Avenue. The plan calls for a major transfer from traditional industry to advanced manufacturing, better access for all transportation modes, and leverage the land's unique environment. 

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AT&T Smart Cities Program Chicago

AT&T has launched a Smart Cities Pilot Program has been launched in cities and regions across the United States including Atlanta, Chapel Hill, Dallas, Miami-Dade County and the Windy City, Chicago. Their goals for the Chicago program are to "keep Chicago residents and tourists more productive, engaged and informed as they move about town."

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Array of Things - Chicago

The city of Chciago hopes to become a "digitally connected" city by using sensory technology to gather data about its citizens, air quality, and other environmental factors. It hopes that making this data accessible to all through the city's open data portal will inspire contributors to point out problems and potential solutions for the city. This process is meant to rebrand Chicago as an innovative city.

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Killing rats in Chicago

Chicago is creating algorithms from their collection of phone call complaints and social media postings over 12 years of time. They used this data to create and algorithm to predict a rat infestation 7 days before someone would see a rat. Data engineers save every tweet and Facebook post geocoded in Chicago. This info that is taken is organized as crime or sanitation complaints to look over and deal with later hoping they will be able to address all of them.

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