2000115-Strengthening-Communities-with-Neighborhood-Data

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Index 423 bias, 288 big data, 48, 53, 98, 392 Bike Score, 95 births and deaths data, NNIP partner data holdings, 2013, 87 Blackwell, Angela, 10n.2 blighted properties, foreclosures and, 159 Bloom, H. S., 381 Boardman, Anthony E., 140 Bodini, Riccardo, 296, 317, 371 body mass index (BMI), 228, 233 Booch, Grady, 120 Boston Foundation, 223 Boston Indicators Project, 223, 224 Boston Neighborhood Survey, 94 Bragdon, David, 256 Brenner, Jeffrey, 238, 239, 241 Bridgespan Group, 145, 163 Bridging Dallas North-South Gap project, 234 Briggs, Xavier De Souza, 19 Brookings Institution, 90 Brophy, Paul C., 143, 152, 166 Brown, L. A., 351, 352 brownfields remediation work, GIS technology and, 44 Brunsdon, C., 379 Budde, Amos, 172 buffers, 299 spatial analysis and, 306 unweighted, aggregated count data and, 297, 298 Building and Operating Neighborhood Indicator Systems (Kingsley), 3 building permits, 43, 61, 207, 208 Building Sustainable Communities (BSC), 162–163, 166 built environment Dynamic Neighborhood Taxonomy typology and, 320, 323 resident-defined neighborhoods and, 288, 289 bullying, chronic absence and, 273 Bureau of Labor Statistics, Consumer Expenditure Survey, 96 business intelligence, mining from big data, 48 business listings, 92 bus schedules, via Internet, 135 Cable, Susan, 48 California Department of Education, 107 CamConnect, New Jersey, 238, 239 Camden, New Jersey health care systems improvement, 238–242 vacant buildings and crime initiative, 156–157 Camden Coalition of Health Care Providers (New Jersey), 238, 239, 242 Campaign for Grade Level Reading, 226–227, 279 Canada, Geoffrey, 173 capacity building, chronic absenteeism interventions and, 278, 279 Capital Area Foreclosure Network (Washington, DC), 225 Carley, Ron, 255 Carnegie Mellon University Event and Pattern Detection Laboratory, 96 School of Computer Science, 97 Case Western University (Cleveland), 102, 153 Catholic Charities (Portland, Oregon), 261 causality in neighborhood effects research, challenges in establishing, 308 “causal stories,” 188 census-defined neighborhoods, in statistical models, 290 Census Information Centers, 85 census tracts, 376 Dynamic Neighborhood Taxonomy project and, 322, 323, 324 small-area data and, 189 Center for Neighborhood Technology, 97, 103 Center for Urban and Regional Affairs (CURA), University of Minnesota, 57–58, 61, 62, 63, 64, 65, 67, 68, 69
424 Index Center on Urban Poverty and Community Development (Case Western Reserve University), 160, 205, 213 Center on Urban Poverty and Social Change (Case Western University), 3 Centers for Disease Control, obesity maps, 258 Centro Cultural (Portland, Oregon), 261, 262 Cesar Chavez Public Charter Schools, 173 chain migration theory, 359n.7 Chang, Hedy N., 227, 265 Charlton, M., 379 charter schools, 17 Chaskin, Robert J., 155, 158, 185 Chicago big data initiative in, 383 data-oriented institutions in, 27 New Communities Program in, 153, 162, 295, 367 North Lawndale neighborhood in, 329, 332–335, 336 Testing the Model in, 166–168 theory of development from Pilsen Bridge Neighborhood in, 168 chicagocrime.org, 122 Chicago Research Consortium, 271 child care centers, 17 child care programs, chronic absence and, 271 childhood obesity in Austin, Texas, data-driven action against, 227–233 holistic perspective on, 229, 231 nationwide epidemic of, 228 children, distressed areas and adverse outcomes for, 6 Children’s Optimal Health (COH), Travis County, Texas: case study, 227–233 child welfare, NNIP partner data holdings, 2013, 89 Child Well-Being Index (England), 293 Choice Neighborhoods initiative, 152, 185 choropleth mapping approach, 254 Chow, J., 295 Chow tests, spatial, 379 chronic absence, 265–281 categories contributing to, 272–274 consequences of, 265 defining, 267–268 elementary students in Oakland Unified School District, 2009/2010, 275 neighborhood initiatives and implications of, 280–281 Oakland, California schools, varying rates of, 269 overlooking, reasons for, 268–271 San Francisco Unified School District, 2010/2011, 270 supporting interventions for, key capacities, 278 turning around, strategies for, 274, 276–280 what led to discovery of, 266–267 chronic health conditions, chronic absence from school and, 272 churning movers, Making Connections research on, 171 cities, neighborhood data put to use in, 221–227 CitiStat (Baltimore), 50, 142, 391 citizen engagement open data, 99 technologies, 41, 47–48 city dynamics, 349 City Forward (IBM), 107 CityView application, 45 Citywide Diabetes Collaborative (Camden, New Jersey), 239 Civic Enterprise, 279 civic leaders, informing about effective data environment, 401, 402 civic life, strengthening, data used more broadly for, 32–33 civic technology, 109 CKAN, 104 Clackamas Community Land Trust (Oregon), 260 Clampet-Lundquist, S., 372
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Efforts to address the problems of
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ABOUT THE URBAN INSTITUTE The nonpr
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iv 4 A 5 Using 6 Using 7 Advances C
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Acknowledgments We would like first
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1 Introduction to the Field The Inc
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Introduction to the Field 3 into an
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Introduction to the Field 5 to set
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Introduction to the Field 7 in chap
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Introduction to the Field 9 improve
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Introduction to the Field 11 Streng
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14 Strengthening Communities with N
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Table 2.1. (Continued) City/Metro N
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ESSAY From Tornadoes to Transit How
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Institutional Context 59 profession
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Institutional Context 61 graphic, h
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Institutional Context 63 department
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Institutional Context 65 This infor
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Institutional Context 67 By identif
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Institutional Context 69 embedded i
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Institutional Context 71 8. For mor
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100 Strengthening Communities with
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4 A Framework for Indicators and De
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A Framework for Indicators and Deci
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5 Using Data for Neighborhood Impro
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Using Data for Neighborhood Improve
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New Insights on Neighborhood Change
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ESSAY Neighborhood Data and Locally
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ESSAY Cutting through the Fog Helpi
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6 Using Data for City and Regional
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Using Data for City and Regional St
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ESSAY Creating and Using Neighborho
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The Regional Equity Atlas Using Dat
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The Bond Measure Is Approved Using
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ESSAY A Solvable Problem Hidden in
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7 Advances in Analytic Methods for
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ESSAY The Dynamic Neighborhood Taxo
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Sample Output Advances in Analytic
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Page 381 and 382: 372 Strengthening Communities with
Page 421 and 422: 412 About the Authors served as dir
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Page 431: 422 Index alternative scenarios, fo
Page 435 and 436: 426 Index Community Development Blo
Page 437 and 438: 428 Index data (continued) oversigh
Page 439 and 440: 430 Index early warning systems, no
Page 441 and 442: 432 Index funders, data-driven deci
Page 443 and 444: 434 Index homeless students, chroni
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Page 453 and 454: 444 Index privacy concerns (continu
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2000115-Strengthening-Communities-with-Neighborhood-Data

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