2000115-Strengthening-Communities-with-Neighborhood-Data

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About the Essayists 419 effects of neighborhood stabilization efforts. She received a BA in political science from the University of Tennessee and an MPA from Cleveland State University. Greg Sanders is a senior technical manager for Chapin Hall at the University of Chicago. He served as information architect for the Chicago Metropolitan Agency for Planning (CMAP) from 2002 to 2013. He was technical lead for CMAP’s online data systems, including the MetroPulse applications. He cofounded the Illinois <strong>Data</strong> Exchange Affiliates datasharing coalition in 2006 and the Full Circle community mapping and planning project in 2004. Sanders was previously information technology director for the Cleveland Housing Network and senior programmer– analyst for Penske Logistics. He has managed federal Technology Opportunities Program grants in both Cleveland and Chicago. Sanders holds a BA in political science from Oberlin College and a master’s degree in mass communications from Kent State University. Jacob Wascalus is a writer and analyst for the Community Development Department of the Federal Reserve Bank of Minneapolis. He writes about topics ranging from workforce development and neighborhood stabilization to suburban poverty and the housing market. He also works <strong>with</strong> colleges and neighborhood groups in designing their own data-oriented community development projects. Wascalus holds a master’s degree in urban and regional planning from the University of Minnesota’s Hubert H. Humphrey School of Public Affairs and a bachelor’s degree in English literature from James Madison University.
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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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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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Page 377 and 378: 368 Strengthening Communities with
Page 421 and 422: 412 About the Authors served as dir
Page 424 and 425: About the Essayists Riccardo Bodini
Page 426 and 427: About the Essayists 417 community a
Page 430 and 431: Index Aaronson, D., 347 abandoned p
Page 432 and 433: Index 423 bias, 288 big data, 48, 5
Page 434 and 435: Index 425 Clarke, P., 347 class, 22
Page 436 and 437: Index 427 comprehensiveness, in nei
Page 438 and 439: Index 429 “democratizing informat
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Page 442 and 443: Index 433 Government-Sponsored Ente
Page 444 and 445: Index 435 IndyStat Program, 46, 47
Page 446 and 447: Index 437 MacArthur Foundation, 197
Page 448 and 449: Index 439 partner data holdings, 20
Page 450 and 451: Index 441 NeighborWorks, 150 Nelson
Page 452 and 453: Index 443 place advantages related
Page 454 and 455: Index 445 regime theory, 19 Regiona
Page 456 and 457: Index 447 social production, power
Page 458 and 459: Index 449 teenage sexuality and par
Page 460: Index 451 Vacants 2 Value (V2V), 45
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