The Population Research Institute: Computational and Spatial Analysis

项目摘要：PRI计算和空间分析核心 计算和空间分析(CSA)核心是人口研究的创新驱动力 研究所(PRI)，将尖端的方法学方法注入到PRI的主要研究领域 推进人口动力学研究。CSA核心具有科学专业知识和研究支持能力 在跨多个维度和规模的数据集成、空间统计、社交媒体分析、创新 以及非传统数据收集和分析，以及社交网络分析。通过其具体目标，CSA 核心提供从项目开发到完成和完成的方法学专业知识 传播。CSA核心有四个具体目标。首先，核心支持使用多维， 多尺度时空数据。这包括大空间的、历史的、个体的、 和上下文数据集。第二，核心提供多方面的数据支持、编程、 统计和社会网络专业知识，以及创新跨学科的空间统计和分析 人口研究。这些服务还通过确保符合数据来减轻调查人员的负担 服务提供者和外部机构的法规，以及各种人口和健康数据的获取。 第三，CSA核心提供创新大数据和社交媒体分析方面的资源和专业知识 人口研究。PRI在使用社交媒体数据推动人口科学方面处于领先地位。第四， CORE将尖端方法整合到PRI主要研究领域的人口研究中， 研讨会和辅导。尽管这些活动对国内外的人口科学家来说都是可以访问的 PRI，它们是为响应初级科学家的需求而量身定做的，以提高他们的竞争力 争取外部资金，并与以下机构合作提高其对人口研究的贡献的影响 发展核心。CSA核心由资深人口科学家共同指导，并由一名专家提供支持 顾问委员会。核心人员配备高效，以最大限度地提高研究效率并利用现有数据和 方法论基础。

Project Summary: PRI Computational and Spatial Analysis Core The Computational and Spatial Analysis (CSA) core is the innovation driver for the Population Research Institute (PRI), infusing cutting-edge methodological approaches across PRI’s primary research areas to advance population dynamics research. The CSA core has scientific expertise and research support capacity in data integration across multiple dimensions and scales, spatial statistics, social media analytics, innovative and nontraditional data collection and analysis, and social network analysis. Through its specific aims, the CSA core provides access to methodological expertise from project development through completion and dissemination. The CSA core has four specific aims. First, the core supports the use of multi-dimensional, multi-scale spatiotemporal data. This includes the integration and analysis of large spatial, historical, individual, and contextual datasets. Second, the core provides services in multifaceted data support, programming, statistical and social network expertise, and spatial statistics and analysis for innovative interdisciplinary population research. These services also reduce investigator burden by ensuring compliance with data providers and external agency regulations as well as access to a variety of demographic and health data. Third, the CSA core provides resources and expertise in innovative Big Data and social media analytics for population research. PRI is a leader in the use of social media data to advance population science. Fourth, the core integrates cutting-edge methodologies into population research across PRI’s primary research areas with workshops and mentoring. Although these activities are accessible to population scientists within and beyond PRI, they are tailored to be responsive to the needs of junior scientists and to advance their competitiveness for external funding and to raise the impact of their contributions to population research in collaboration with the Development core. The CSA core is co-directed by senior population scientists supported by an expert advisory board. The core is staffed efficiently to maximize research productivity and exploit existing data and methodological infrastructure.