Advanced Spatial Analysis Training Program for Population Scientists

人口科学家高级空间分析培训计划

• 批准号: 7345079
• 负责人: Stephen A Matthews
• 金额: $ 17.49万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-03 至 2013-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7345079
• 关键词: Accounting; Ally; Appendix; Applications Grants; Area; Behavioral Sciences; California; Commercial Sectors; Communities; Computer software; Data; Data Set; Demography; Development; Digital Libraries; Discipline; Disease regression; Distance Learning; Educational workshop; Environment; Epidemiology; Evaluation; Exercise; Faculty; Geographic Information Systems; Geography; Goals; Grant; Growth; Health Planning; Health Sciences; Institution; Instruction; Internet; Lead; Learning; Letters; Literature; Meta-Analysis; Methodology; Methods; Modeling; Names; National Institute of Child Health and Human Development; Numbers; Paper; Participant; Pattern; Pliability; Population; Population Programs; Population Research; Population Sciences; Progress Reports; Public Health; Publications; Reporting; Research; Research Institute; Research Personnel; Resource Development; Resources; Sampling; Schedule; Science; Scientist; Series; Social Sciences; Standards of Weights and Measures; Stress; Students; Surveys; Techniques; Textbooks; Time; Today; Training; Training Programs; United States; United States National Academy of Sciences; Universities; Weight; Writing; base; career; cohort; college; day; design; experience; follow-up; frontier; improved; innovation; interest; member; multilevel analysis; next generation; programs; rapid growth; response; spatial integration; statistics; symposium; tool

DESCRIPTION (provided by applicant): The application of spatial data and methods to demographic research has been identified as a critical methodological challenge facing population scientists today. Although the instructional environment for introductory GIS courses has improved, the application and use of advanced spatial analysis methods in population science lags behind. Thus, the next generation of population scientists may not be adequately prepared to take advantage of the recent methodological developments and new software products in spatial statistical analysis. This R25 training grant application has two aims. Aim 1: To move beyond basic GIS training and set the highest standards for spatial analysis instruction in the population sciences by offering a series of advanced spatial analysis workshops on cutting-edge techniques. The four proposed workshops are: spatial regression modeling; geographically weighted regression; spatial/multi-level modeling; and spatial pattern analysis. The target audience for these advanced workshops is early-career population scientists (i.e., graduate students and junior researchers in demography-related disciplines) based at research institutions and population-related agencies in the U.S. We will offer each workshop twice (subject to a review), reaching as many as 200 attendees. Aim 2: To supplement the workshop series with parallel development of resource materials on the four selected and other advanced spatial analysis methods; resource materials that will be made publicly available via an existing GIS and Population Science (GISPopSci) website. The current website will be enhanced with new learning materials, reference lists, and other advanced spatial analysis resources. In addition, the website will include options that allow any member of the population science community to register their own spatial demography-related projects and materials. We intend for the website to be developed for and to serve the wider population science field. Throughout the grant period we will be evaluating the impact of the workshops on all attendees. There will be an exit survey, a one year follow-up, and a later follow-up survey in Year 5 (for Year 1-3 attendees). We believe these workshops will facilitate the further development of spatially-informed demography, and will have trained 200 early-career scholars. This application is submitted in response to PA-06-507 on "Educational Programs for Population Research." Existing opportunities and resources to learn advanced spatial analysis methods in the university sector, the commercial sector, and from textbooks, are limited, costly, and frequently not targeted towards population science research questions and applications. The proposed training program is unique, offers workshops targeted at early-career population scientists, and will develop web resources for the field at large. While the program is designed for population scientists it is inevitable that researchers in closely allied fields such as public health and epidemiology stand to gain from the proposed training program. Indeed, participants from public health, epidemiology, health sciences, and health planning accounted for 22 percent of the researchers who attended our previous R25 training program on GIS and Population Sciences (see Appendix E).

描述（由申请人提供）：当今人口科学家面临的空间数据和方法在人口研究中的应用已被确定为一个关键的方法论挑战。尽管入门GIS课程的教学环境有所改善，但在人群科学滞后的高级空间分析方法的应用和使用。因此，在空间统计分析中，下一代人口科学家可能没有充分准备利用最新的方法论发展和新软件产品。 R25培训赠款申请有两个目标。目标1：超越基本的GIS培训，并通过提供一系列有关尖端技术的高级空间分析研讨会来设定人口科学的空间分析指导的最高标准。提出的四个研讨会是：空间回归建模；地理加权回归；空间/多级建模；和空间模式分析。这些高级研讨会的目标受众是基于研究机构的早期职业人群科学家（即，与人口统计学相关学科的研究生和初级研究人员）在美国的研究机构和与人口相关的机构的，我们将为每位讲习班提供两次（约有200名参与者）。目的2：用四种和其他高级空间分析方法的资源材料的并行开发来补充研讨会系列；将通过现有的GIS和人口科学（GISPOPSCI）网站公开提供的资源材料。当前的网站将通过新的学习材料，参考列表和其他高级空间分析资源来增强。此外，该网站还将包括允许人口科学界任何成员的选项注册自己与空间人口相关的项目和材料。我们打算为该网站开发并为更广泛的人口科学领域提供服务。在整个赠款期间，我们将评估研讨会对所有与会者的影响。将进行一次退出调查，一年的随访以及后来的5年级随访调查（对于1 - 3年级的与会者）。我们认为，这些研讨会将有助于进一步发展空间知名的人口统计学，并将培训200名早期学者。该申请是针对PA-06-507的“人口研究教育计划”提交的。在大学部门，商业部门和教科书中学习先进的空间分析方法的现有机会和资源是有限，昂贵的，并且通常不针对人群科学研究的问题和应用。拟议的培训计划是独一无二的，提供针对早期职业人群科学家的研讨会，并将为整个领域开发网络资源。尽管该计划是为人群科学家设计的，但不可避免地，诸如公共卫生和流行病学之类的紧密盟友领域的研究人员将从拟议的培训计划中获得收益。实际上，公共卫生，流行病学，健康科学和健康筹划的参与者占了22％的研究人员参加了我们以前的R25 GIS和人口科学培训计划（请参阅附录E）。