Scientific and Technical Core

科技核心

• 批准号: 9345788
• 负责人: Guangqing Chi
• 金额: $ 22.35万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9345788
• 关键词: Archives; Area; Big Data; Collaborations; Collection; Communities; Complement; Complex; Computer software; Consultations; Crime; Custom; Data; Data Analyses; Data Collection; Data Set; Databases; Degree program; Demography; Development; Engineering; Faculty; Family; Fostering; Funding; Gap Junctions; Geographic Information Systems; Geography; Human; Immigrant; Immigration; Individual; Methodology; Methods; Mission; Modeling; Neighborhoods; Population; Population Dynamics; Population Process; Population Research; Population Sciences; Privacy; Process; Productivity; Research; Research Activity; Research Assistant; Research Institute; Research Personnel; Research Project Grants; Research Support; Scientific Advances and Accomplishments; Services; Social Change; Social Network; Specific qualifier value; Statistical Data Interpretation; Students; System; Systems Analysis; Techniques; Time; Training; Work; cost; cost effective; data access; data sharing; experience; falls; improved; innovation; member; mid-career faculty; mobile computing; novel; novel strategies; population health; pre-doctoral; skills; social media; spatiotemporal; statistics; success; web site

Summary: Computational and Spatial Analysis Core PRI's overarching aim is to advance the scientific understanding of human population dynamics and processes, especially as they relate to PRI's five primary research areas: Communities, Neighborhoods and Spatial Processes, Immigration and Immigrant Integration, Social Change and Changing Families, Population Health, and the Causes and Consequences of Crime. PRI supports the development and application of novel approaches and methods that can make important and cutting edge contributions to population research through its Computational and Spatial Analysis (CSA) Core. The CSA Core provides research support services at all stages of the funded research cycle to faculty associates, postdoctoral trainees, predoctoral trainees, research assistants, and students in the dual-degree program in demography. Staff members have extensive experience in providing the services necessary for a successful research project, including research activities related to data access and dissemination, programming and statistical analysis, and geographic information analysis.

摘要：计算和空间分析核心 PRI的首要目标是促进对人类人口动态的科学理解， 过程，特别是因为它们涉及到PRI的五个主要研究领域：社区，邻里和 空间过程，移民和移民融合，社会变革和家庭变化，人口 健康，以及犯罪的原因和后果。PRI支持开发和应用新的 可对人口研究作出重要和尖端贡献的途径和方法 计算和空间分析（CSA）核心。CSA核心提供研究支持 在资助研究周期的各个阶段为教职员工、博士后实习生、博士预科生提供服务 实习生，研究助理和学生在双学位课程的人口。名工作人员 在为成功的研究项目提供必要的服务方面拥有丰富的经验，包括研究 与数据获取和传播、方案编制和统计分析以及地理 信息分析