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Titlebook: Community Quality-of-Life Indicators; Best Cases VIII Frank Ridzi,Chantal Stevens,Melanie Davern Book 2020 The Editor(s) (if applicable) an

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书目名称Community Quality-of-Life Indicators
副标题Best Cases VIII
编辑Frank Ridzi,Chantal Stevens,Melanie Davern
视频videohttp://file.papertrans.cn/231/230675/230675.mp4
概述Provides case studies reflecting approaches that use shared indicators to improve overall community well-being and quality of life.Includes a diverse array of initiatives and locations on the effects
丛书名称Community Quality-of-Life and Well-Being
图书封面Titlebook: Community Quality-of-Life Indicators; Best Cases VIII Frank Ridzi,Chantal Stevens,Melanie Davern Book 2020 The Editor(s) (if applicable) an
描述.This book offers critical insights into the thriving international field of community indicators, incorporating the experiences of government leaders, philanthropic professionals, community planners and a wide range of academic disciplines. It illuminates the important role of community indicators in diverse settings and the rationale for the development and implementation of these innovative projects.  This book details many of the practical “how to” aspects of the field as well as lessons learned from implementing indicators in practice. The case studies included here also demonstrate how, using a variety of data applications, leaders of today are monitoring and measuring progress and communities are empowered to make sustainable improvements in their wellbeing. With examples related to the environment, economy, planning, community engagement and health, among others, this bookepitomizes the constant innovation, collaborative partnerships and the consummate interdisciplinarity of the community indicators field of today..
出版日期Book 2020
关键词Community Quality of Life Indicators; Quality of Life and Well-Being Research; Community Data; Collecti
版次1
doihttps://doi.org/10.1007/978-3-030-48182-7
isbn_softcover978-3-030-48184-1
isbn_ebook978-3-030-48182-7Series ISSN 2520-1093 Series E-ISSN 2520-1107
issn_series 2520-1093
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Goldilocks Data-Connecting Community Indicators to Program Evaluation and Everything in Between,ement seek to measure and inspire change among program participants. While communities across the United States may have robust community indicators and performance management cultures these two efforts are often disconnected, leaving a large amount of guesswork between identifying major community n
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Strategies for Expanding Indicator Profiles to Small Rural Geographies,a Compass, a social indicators project that has provided data profiles for neighborhoods in Minnesota’s two largest cities, decided to expand its products to include small area profiles for cities and towns throughout the state. To find out if our expanded profiles satisfied the data needs of our ne
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The Development of DISC (Decision Integration for Strong Communities): An Agile Software Applicatiolocal assets. They are seeking to create their own path to sustainability that fits their size, geography, and resources and also preserves their distinctive characteristics. To address this need, the Decision Integration for Strong Communities (DISC) application was developed to offer relevant info
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Five Conditions Conducive to Sustainability Plans and Measurements,It also outlines how the City of Whitehorse, Yukon, Canada enjoys a considerable level of regional and federal external support for sustainability planning as compared to the Fairbanks North Star Borough and the City and Borough of Juneau, both in the U.S. State of Alaska, where sustainability effor
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Leveraging Data for Meaningful Improvements: How Credible Data Enables Partnership Alignment to Ach with diverse partners and achieve a common goal of improved well-being for all residents. Using reliable data has benefited Santa Cruz County, as the CAP inspires new ways for diverse partners to collaborate on shared goals. Benchmarks are set and improvements are monitored in part through data col
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