Mapping the Origins of Segregation using GIS Resources

居住隔离继续界定着许多社区，并与许多社会和经济后果有关。这个项目开发了关于居住隔离的新的经验发现和理解，以及一个开放获取的数字数据库，有机会进行跨学科合作，以了解和绘制当代居住隔离模式的历史起源。该项目的数字数据中心和档案将使研究人员能够使用有限的历史人口普查数据、创新的种族隔离分析新方法和地理信息系统(GIS)地图绘制、分析和记录社区的历史和当代种族隔离模式。数字中心将促进与研究人员的合作，研究人员将贡献和使用项目网站上存档的数据和地图资源，用于教学和研究。通过建立支持协作数字数据中心和平台的研究网络，提供研讨会和研究生水平的公开研究方法课程，该项目更广泛地增加了研究能力和学生体验。以前关于历史隔离的研究仅限于使用聚合数据，这些数据无法支持对影响隔离模式的区位成就和家庭水平的居住结果的分析。这限制了将居住人口流动和隔离的历史模式与当代城市地区的调查结果进行比较的能力。该项目的目标是通过使用新的数据来源和隔离分析的新方法来填补这一知识空白。此外，该项目将开发新的地理信息系统资源，以记录解决关于1940年历史隔离模式的长期研究问题的独特方面，包括：分散与集中的隔离模式；城市地区居民在巷子后的“融合”；以及移民群体的复杂空间分离模式。一个同样重要的目标是开发一个由教师和学生研究人员组成的协作数字平台和网络，他们将通过跨学科和混合方法的贡献，在PI和Co-PI.提供的材料、研讨会和课程的支持下，产生关于历史隔离和邻里叙事的新知识。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Residential segregation continues to define many communities and is associated with numerous social and economic consequences. This project develops new empirical findings and understandings on residential segregation and an open-access digital database with opportunities for interdisciplinary collaboration to understand and map the historical origins of contemporary patterns of residential segregation. The digital data hub and archive for this project will give researchers the capability to map, analyze, and document historical and contemporary segregation patterns in communities using restricted historical census data, innovative new methods of segregation analysis, and geographic information systems (GIS) mapping. The digital hub will facilitate collaboration with researchers, who will contribute and use data and mapping resources archived on the project's website for teaching and research. By building a research network to support the collaborative digital data hub and platform, offering workshops, and an open graduate-level research methods course, this project more broadly increases the research capacity and student experiences.Prior research on historical segregation has been limited to using aggregate data that cannot sustain analyses of the locational attainments and household-level residential outcomes that shape segregation patterns. This constrains the ability to compare historical patterns of residential mobility and segregation with findings for contemporary urban areas. The goal of this project is to fill this gap in knowledge by using new data sources and new methods for segregation analysis. In addition, the project will develop new GIS resources to document unique aspects that address long-standing research questions about historical segregation patterns in 1940 including: dispersed vs. concentrated patterns of segregation; back-alley "integration" of residents in urban areas; and complex patterns of spatial separation of immigrant groups. An equally important goal is to develop a collaborative digital platform and network of faculty and student researchers who will generate new knowledge on historical segregation and neighborhood narratives through interdisciplinary and mixed-methods contributions, supported by the materials, workshops, and courses offered by the PI and Co-PI.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.