2000115-Strengthening-Communities-with-Neighborhood-Data

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Contents 1 Introduction 2 Institutional 3 Progress Acknowledgments to the Field 1 Context 13 ESSAYS Technology, Data, and Institutional Change in Local Government 39 Cory Fleming From Tornadoes to Transit: How Data Sharing Has Strengthened Community Development in the Twin Cities 57 Jacob Wascalus and Jeff Matson in Data and Technology 73 ESSAY Mashup City: Tools for Urban Life and Urban Progress in the Internet Age 115 Greg Sanders vii iii
iv 4 A 5 Using 6 Using 7 Advances Contents Framework for Indicators and Decisionmaking 135 Data for Neighborhood Improvement 149 ESSAYS Neighborhood Data and Locally Driven Community Change 185 Robert J. Chaskin Cutting Through the Fog: Helping Communities See a Clearer Path to Stabilization 205 Lisa Nelson Data for City and Regional Strategies 219 ESSAYS Creating and Using Neighborhood Data to Shape a More Equitable Regional Greenspace Policy 249 Meg Merrick and Sheila Martin A Solvable Problem Hidden in Plain View: When Monitoring the Right Data Makes All the Difference 265 Hedy N. Chang in Analytic Methods for Neighborhood Data 283 ESSAYS The Dynamic Neighborhood Taxonomy: An Innovative Typology for Community and Economic Development 317 Riccardo Bodini Neighborhoods, Neighborhood Effects, and Residential Mobility: A Holistic View and Future Directions 341 George Galster and Lina Hedman Beyond Mapping: Spatial Analytics and Evaluation of Place-Based Programs 367 Julia Koschinsky
Page 1 and 2: Efforts to address the problems of
Page 3: ABOUT THE URBAN INSTITUTE The nonpr
Page 8 and 9: Acknowledgments We would like first
Page 10 and 11: 1 Introduction to the Field The Inc
Page 12 and 13: Introduction to the Field 3 into an
Page 14 and 15: Introduction to the Field 5 to set
Page 16 and 17: Introduction to the Field 7 in chap
Page 18 and 19: Introduction to the Field 9 improve
Page 20: Introduction to the Field 11 Streng
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Page 35 and 36: Table 2.1. (Continued) City/Metro N
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46 Strengthening Communities with 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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Advances in Analytic Methods for Ne
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ESSAY The Dynamic Neighborhood Taxo
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Sample Output Advances in Analytic
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412 About the Authors served as dir
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About the Essayists Riccardo Bodini
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About the Essayists 417 community a
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About the Essayists 419 effects of
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422 Index alternative scenarios, fo
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424 Index Center on Urban Poverty a
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426 Index Community Development Blo
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428 Index data (continued) oversigh
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430 Index early warning systems, no
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432 Index funders, data-driven deci
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434 Index homeless students, chroni
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436 Index Koschinsky, Julia, 307, 3
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438 Index Minneapolis Inspections o
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440 Index Neighborhood Early Warnin
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442 Index OnTheMap, 81, 104 open da
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444 Index privacy concerns (continu
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446 Index Sawicki, David, 10n.2 sca
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448 Index strategic investment init
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450 Index Twin Cities (Minnesota) d
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