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2000115-Strengthening-Communities-with-Neighborhood-Data

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Using <strong>Data</strong> for <strong>Neighborhood</strong> Improvement 167<br />

applying collective impact–like methods, but only in one domain each<br />

(e.g., education or public safety) in 7 of the 16 original NCP neighborhoods.<br />

This practice is consistent <strong>with</strong> our point above that a comprehensive<br />

initiative can start <strong>with</strong> one domain and then, based on what<br />

is learned, develop more thorough performance management in other<br />

domains over time.<br />

Susana Vasquez, director of LISC Chicago, sees an aim of this<br />

effort as helping “neighborhood leaders get excited about using data<br />

to improve their work” (Kelleher 2012). TTM begins by developing a<br />

logic model of the change process in the selected domain (a theory of<br />

change as introduced earlier). In LISC’s conception, this model requires<br />

explicit statements of expectations about the links between resources,<br />

activities, outputs, and outcomes. As one example, the logic model for<br />

the TTM effort in the Pilsen neighborhood, titled “The Pilsen Bridge:<br />

Pathways for Better Transitions to Kindergarten and High School,”<br />

describes proposed interventions, paths of influence, and targeted outcomes<br />

(figure 5.3).<br />

Given the diversity of aims, LISC recognized that each neighborhood<br />

would have to develop its own data. 16 Technical assistance and other supports<br />

have been provided to help them assemble the data to monitor<br />

their selected outcomes. Many of the performance measures selected<br />

could be developed from the records of partner organizations in the<br />

neighborhood. But the task of obtaining useful data from the administrative<br />

records of city-level agencies was more challenging. For example,<br />

outcome measures may require aggregating individual-level records<br />

stored in confidential school or service program information systems.<br />

Special programming is normally needed to select out records for neighborhood<br />

residents and calculate new performance measures for them, as<br />

are efforts to assure privacy protections.<br />

TTM is still in process and it is too early to assess results. However, to<br />

our knowledge, it is the first effort to try to actually measure such a broad<br />

range of results indicators in a comprehensive community development<br />

setting. Importantly, this includes measures of status changes for children<br />

and families at the neighborhood level from administrative records<br />

that have rarely been made operational in any setting. This experience<br />

offers a promising model for performance monitoring in similar programs<br />

elsewhere. Other signs leading to the same conclusion are noted in<br />

our discussions of the Promise <strong>Neighborhood</strong>s Initiative and integrated<br />

data systems later in this chapter.

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