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.

该项目旨在确定自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是如何变化的，以及社区和小地区之间的差异。从历史上看，人口普查长期调查提供了衡量美国社会和经济状况的大量数据。在2000年人口普查之后，它被美国社区调查（ACS）所取代，这引起了人们对人口普查数据是否继续提供准确衡量阿拉斯加农村社区福祉的严重关注，因为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，提高了检测地方尺度差异的能力，解决了ACS数据的不确定性。具体目标包括：(1)通过将公布的误差范围分解为表达跨社区、年份和个人的离散度的组成部分，系统地检查阿拉斯加农村ACS数据的可靠性；(2)构建阿拉斯加农村社区和地区的社会经济指标，其误差幅度大大小于已公布的结果；(3)估算观测数据稀少或完全缺失的社区的关键指标；(4)检验社区和地区在一个或多个指标上是否发生了变化或显著差异。该项目通过对多个主要数据来源的建模和统计分析来实现这些目标，包括来自美国人口协会的个人访谈数据以及与美国人口普查局合作的以前的人口普查数据。项目产出包括一套社会经济指标，这些指标比ACS公布的数据可靠性更高，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观测和理解北极社区社会变化的新数据收集的最高优先目标，帮助北极社会观测系统设计。