Social Indicators for Rural Alaska Communities (SIRAC)

阿拉斯加农村社区的社会指标 (SIRAC)

• 批准号: 1216399
• 负责人: Matthew Berman
• 金额: $ 58.26万
• 依托单位: University of Alaska Anchorage Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1216399&HistoricalAwards=false
• 关键词: Social; Indicators; Rural; Alaska; Communities

The proposed project aims to determine how social conditions for Alaska Natives living in small arctic communities have changed since 2000, and differ among communities and small regions. The Census Long Form Survey historically provided much of the data for measuring social and economic conditions in the U.S. Its replacement with the American Community Survey (ACS) after the 2000 Census has raised serious concerns about whether Census data continue to provide accurate measures of well-being in rural Alaska communities, at a time when the region faces unprecedented environmental and socio-economic change. The project addresses the uncertainty with ACS data by developing a new set of social, economic, and cultural indicators with increased capability to detect differences at local scales.Specific objectives include: (1) systematically examine the reliability of ACS data for rural Alaska by disaggregating published margins of error into components expressing dispersion across communities, years, and individuals; (2) construct socio-economic indicators for rural Alaska communities and regions with substantially smaller margins of error than published results; (3) estimate key indicators for communities where observations are sparse or missing entirely; and (4) test whether communities and regions have changed or differ significantly with respect to one or more indicators. The project pursues these objectives through modeling and statistical analyses of multiple primary data sources, including individual interview data from the ACS and the previous censuses in cooperation with the U.S. Census Bureau. Project outputs include a set of socio-economic indicators with improved reliability over published ACS figures that can help state and local governments and non-governmental organizations allocate funds, plan, and evaluate social service and economic development programs. A pioneering application of data assimilation with a social system model aids arctic social observing system design by revealing highest priority targets for new data collection for observing and understanding social change in arctic communities.

拟议项目旨在确定自 2000 年以来生活在北极小社区的阿拉斯加原住民的社会条件发生了怎样的变化，以及社区和小地区之间的差异。人口普查长格式调查历来提供了衡量美国社会和经济状况的大部分数据。2000 年人口普查后，美国社区调查 (ACS) 取代了人口普查长格式调查，这引发了人们对人口普查数据是否继续提供准确衡量健康状况的严重担忧。在阿拉斯加农村社区，该地区面临着前所未有的环境和社会经济变化。该项目通过开发一套新的社会、经济和文化指标来解决 ACS 数据的不确定性，这些指标具有增强发现局部尺度差异的能力。具体目标包括：(1) 通过分类系统地检查阿拉斯加农村地区 ACS 数据的可靠性。公布了表达社区、年份和个人之间分散程度的成分的误差范围； (2) 为阿拉斯加农村社区和地区构建社会经济指标，其误差幅度远小于公布的结果； (3) 估计观测值稀疏或完全缺失的社区的关键指标； (4) 测试社区和地区在一项或多项指标上是否发生了显着变化或差异。该项目通过对多个主要数据源进行建模和统计分析来实现这些目标，包括来自 ACS 的个人访谈数据以及与美国人口普查局合作的先前人口普查数据。项目成果包括一系列社会经济指标，其可靠性比公布的 ACS 数据更高，可以帮助州和地方政府以及非政府组织分配资金、规划和评估社会服务和经济发展项目。数据同化与社会系统模型的开创性应用通过揭示新数据收集的最高优先目标来观察和理解北极社区的社会变化，从而有助于北极社会观测系统的设计。