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2000115-Strengthening-Communities-with-Neighborhood-Data

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446 Index<br />

Sawicki, David, 10n.2<br />

scale mismatch, MAUP and, 371<br />

scale, neighborhoods and, 306–307<br />

scatterplots, cluster maps linked to, 379<br />

Schelling, T., 350<br />

school absenteeism campaign, 227<br />

school attendance, myths about, 272<br />

school attendance data<br />

calculating patterns <strong>with</strong>in, 270<br />

mining for causes of chronic absence,<br />

266–267<br />

monitoring, 277<br />

school changes, Making Connections<br />

research on, 172, 180n.23<br />

school dropout rates, poverty rates and,<br />

347<br />

school enrollment data, 30<br />

school quality, spatial effects and, 370<br />

schools<br />

chronic absence from, data monitoring<br />

and, 265–281<br />

place-based inequality in access to, 220<br />

school systems, record keeping by, 17<br />

Schramm, Mike, 213<br />

science, technology, engineering, and<br />

math education, public investments<br />

in, 131<br />

screen scraping, 121<br />

Searchable Property Environmental<br />

E-<strong>Data</strong>base (SPEED), 44<br />

search engines, 126<br />

Seattle, Washington, subsidized housing<br />

and property values study, 306–307<br />

secondary data sources, neighborhood<br />

indicators, 74–93<br />

second-order impact analytic indicators,<br />

136<br />

Section 8 Expiring Use, 76<br />

Section 8 voucher holders, HousingLink<br />

and, 66<br />

security issues, data sharing, 53<br />

SeeClickFix, 97, 98, 100<br />

selection bias, 359<br />

neighborhood indicators work and, 309<br />

reducing, neighborhood effects literature<br />

and, 355<br />

selective mobility patterns, 350, 351<br />

Semantic Web, 133<br />

Senate Appropriations Subcommittee on<br />

Financial Services and General<br />

Government, 199<br />

sensors, data from, 392<br />

service catchment areas, 189<br />

service delivery, innovations in, 49–50,<br />

52–53<br />

service requests, data standards and, 100<br />

settlement house movement, 1, 187<br />

shared accountability, chronic absenteeism<br />

interventions and, 278, 280<br />

shared measurement, collective impact<br />

approach and, 143<br />

Shark, Alan R., 48<br />

Sharkey, P., 309<br />

sheriff’s sales, in Cleveland, 208<br />

shrinkage estimates, 291, 292, 293<br />

side-effect descriptive indicators, 136, 137<br />

simulation, 311<br />

situation analysis, 136, 137, 139, 146, 152,<br />

393, 395<br />

Six Sigma, 46, 47, 51<br />

sliding neighborhoods, 289, 290<br />

small-area data, 75–81, 396<br />

Small Area Income and Poverty Estimates,<br />

79<br />

small-area indexes, 293<br />

smartphones, 49, 53<br />

Smith, Ralph, 266<br />

social action, neighborhood data and,<br />

188, 197–199<br />

social capital, DNT project, improvement<br />

in place, and, 334, 339n.14<br />

social connectivity, 377<br />

social equity, regional greenspace policy<br />

and, 262–263<br />

social indicators<br />

indicator relationships in social system<br />

model, 136<br />

uses for, 136–137<br />

Social Innovation Fund, 406<br />

social justice concerns, neighborhood<br />

data and, 221<br />

social media, 98, 99, 375<br />

social networking, 133, 392<br />

social processes, neighborhood data<br />

embedded in, 200

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