The Population Research Institute: Computational and Spatial Analysis

人口研究所：计算和空间分析

• 批准号: 10225132
• 负责人: Guangqing Chi
• 金额: $ 26.58万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-05 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10225132
• 关键词: Area; Big Data; Cloud Computing; Collaborations; Collection; Complex; Contracts; Custom; Data; Data Analyses; Data Collection; Data Set; Data Sources; Databases; Demographer; Development; Dimensions; Educational workshop; Ensure; Environment; Funding; Grant; High Performance Computing; Individual; Infrastructure; Lead; Machine Learning; Mediation; Mentors; Methodology; Methods; Pathway Analysis; Performance; Population; Population Dynamics; Population Research; Population Sciences; Productivity; Provider; Regulation; Research; Research Institute; Research Personnel; Research Project Grants; Research Support; Resources; Role; Scientist; Secure; Services; Social Network; Social Problems; Source; System; Techniques; Twitter; Universities; archive data; archived data; complex data; computing resources; cost effective; data access; data enclave; data infrastructure; data integration; data management; data repository; health data; improved; innovation; multiscale data; social media; spatiotemporal; statistics; success; tool; web site

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.

项目概要：PRI计算和空间分析核心 计算和空间分析（CSA）的核心是人口研究的创新驱动力 研究所（PRI），在PRI的主要研究领域注入尖端的方法， 推进人口动态研究。加空局核心拥有科学专门知识和研究支助能力 在跨多个维度和尺度的数据集成、空间统计、社交媒体分析、创新 非传统的数据收集和分析，以及社交网络分析。通过其具体目标，CSA 核心方案提供从项目制定到完成的方法专门知识， 传播。CSA核心有四个具体目标。首先，核心支持多维度的使用， 多尺度时空数据这包括对大空间的、历史的、个人的、 和上下文数据集。第二，核心提供多方面的数据支持、编程、 统计和社会网络专门知识，以及空间统计和分析，以促进创新的跨学科 人口研究。这些服务还通过确保数据合规性减轻了研究者的负担 提供者和外部机构的规定以及获得各种人口和健康数据。 第三，CSA核心在创新的大数据和社交媒体分析方面提供资源和专业知识， 人口研究。PRI是使用社交媒体数据推进人口科学的领导者。四是 核心将尖端的方法学整合到PRI主要研究领域的人口研究中， 研讨会和指导。虽然这些活动是人口科学家内外接触 在PRI中，它们是针对年轻科学家的需求而量身定制的，以提高他们的竞争力。 为外部供资，并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。 顾问委员会该核心的工作人员配备高效，以最大限度地提高研究生产力和利用现有数据， 方法基础设施。