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2000115-Strengthening-Communities-with-Neighborhood-Data

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ESSAY<br />

Mashup City<br />

Tools for Urban Life and Urban<br />

Progress in the Internet Age<br />

Greg Sanders<br />

In 2011 a Chicago, Illinois, technology firm launched a digital service<br />

that allowed mobile phone users to find nearby restaurants serving<br />

their favorite meals. Type pasta primavera into your phone, and you<br />

received not only a list of nearby offerings, but ratings—and not only<br />

for each restaurant, but for each restaurant’s pasta primavera. It was just<br />

another reliable, customized, granular data product served up for mobile<br />

consumers in a matter of milliseconds. Nothing remarkable there. Since<br />

restaurant locators <strong>with</strong>out menu-level detail were already popular, of<br />

course someone would improve and extend those services <strong>with</strong>in a year<br />

or two. Our expectations for more detailed, localized, personalized information,<br />

growing on an ever-steepening upward curve, were confirmed<br />

and raised a little bit more.<br />

Meanwhile, across town, a community revitalization initiative brought<br />

together government, nonprofit, university, and volunteer groups for a<br />

collaborative effort to improve the neighborhood. They planned a commercial<br />

corridor renovation <strong>with</strong> mixed-income residential units and<br />

green space. But they needed data, and lots of them. They needed to<br />

find out who owned all 800 parcels <strong>with</strong>in the project area. They sought<br />

data on zoning, land use, and property tax status; traffic counts; crime<br />

statistics; and income and spending. They needed historical numbers<br />

to effectively tell the story of how their community had changed, for<br />

better and worse. And they needed to sort, query, visualize, and analyze<br />

all that data. But while enthusiasm for the project grew, data acquisition<br />

115

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