Scientific/Technical Core

科学/技术核心

• 批准号: 10457697
• 负责人: Brady T West
• 金额: $ 18.67万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-03 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10457697
• 关键词: Advisory Committees; Applications Grants; Archives; Area; Big Data; Biosocial; Collaborations; Communities; Complex; Computer software; Consult; Consultations; Data; Data Analyses; Data Collection; Data Protection; Data Science; Data Scientist; Data Security; Data Storage and Retrieval; Development; Discipline; Educational workshop; Ensure; Environment; Ethnography; Funding; Future; Genetic; Grant; High Performance Computing; Infrastructure; Institutes; Institution; Knowledge; Link; Location; Mentors; Methodology; Methods; Michigan; National Institute of Child Health and Human Development; Politics; Population; Population Dynamics; Population Sciences; Population Study; Productivity; Provider; Quasi-experiment; Research; Research Infrastructure; Research Methodology; Research Personnel; Research Support; Resource Sharing; Resources; Role; STC1 gene; STC2 gene; Sampling; Scientist; Services; Source; Surveys; Techniques; Technology; Time; Training; Training Support; United States National Institutes of Health; Universities; Vertebral column; Wages; Work; adaptive intervention; cloud storage; computing resources; cost effectiveness; data access; data enclave; data management; data visualization; design; flexibility; improved; innovation; member; population health; programs; skills; social; statistics; success; summer institute; summer program; summer research; tool; training opportunity; virtual

SCIENTIFIC AND TECHNICAL CORE: SUMMARY The objective of the Scientific and Technical Core (STC) is to advance the overarching objective of this P2C proposal - to design, create, and use new data to advance population science - by enhancing methods used for all three activities, and by providing technical support and guidance for computing. The STC will provide support across a range of activities to both junior and established affiliates of the Population Studies Center (PSC) at the University of Michigan (U-M), and to researchers from other institutions, enhancing their productivity, increasing the scientific impact of their work, and facilitating innovative, collaborative population science. The STC will provide enhanced, individualized STC consulting that advises on data management and analysis problems, while also providing access to state-of-the art methodological tools. If more extensive project assistance is needed, STC staff data scientists and statisticians can also provide paid research support for those with external funding, subsidizing a portion of their salary and effectively leveraging P2C funds that support only a portion of their time. We will expand this popular STC consulting service by establishing a six- member Scientific Advisory Committee (STC-SAC) of experts in new sources of population data and advanced statistical and data science techniques. STC consulting and the STC-SAC will also link PSC affiliates with other major methodological programs at the Institute for Social Research (ISR) that will enhance the innovation of the methodological and substantive contributions affiliates make to PSC’s Primary Research Areas (PRAs). The STC will consult on improving and fielding innovative and large-scale surveys, analyzing big data and complex sample survey data; linking administrative and organic data; designing and implementing experimental and quasi-experimental studies; collecting and analyzing biosocial and genetic data; designing adaptive interventions for improving population health; collecting and analyzing qualitative and ethnographic data; and working with restricted data. The STC will also guide and support access to university-level high- performance computing resources and restricted data enclaves. The STC will continue to organize hands-on workshops instructed by internal and external experts on state-of-the-art methods topics. These workshops and their archived materials will be available to researchers at U-M and beyond. Finally, the STC will continue to provide small grant support for PSC affiliates to develop and implement new research methods, and funding for junior scientists to obtain necessary storage and computing resources. These methodology-related activities form the backbone of our approach to increasing the scientific innovation and impact of PSC affiliates’ research and the success of affiliates’ grant proposals. These shared resources could not be efficiently supported by any single affiliate and will additionally be a public good for researchers beyond U-M.

科技核心：综述 科学和技术核心(STC)的目标是推进这一总体目标 P2C提案--通过改进方法，设计、创建和使用新数据来推进人口科学 用于所有三项活动，并为计算提供技术支持和指导。STC将 在一系列活动中向人口研究的初级和现有附属机构提供支持 密歇根大学(U-M)PSC中心和其他机构的研究人员，加强了他们的 生产力，提高他们工作的科学影响力，并促进创新、协作的人口 科学。STC将提供增强的、个性化的STC咨询，就数据管理和 分析问题，同时还提供对最先进的方法工具的访问。如果范围更广 需要项目援助，STC工作人员、数据科学家和统计学家也可以提供有偿研究支持 对于那些有外部资金的人，补贴他们工资的一部分，并有效地利用 只支持他们的一部分时间。我们将扩大这一广受欢迎的STC咨询服务，建立六个- 成员科学咨询委员会(STC-SAC)，新的人口数据来源和高级 统计和数据科学技术。STC咨询和STC-SAC还将把PSC附属公司与 社会研究所(ISR)的其他主要方法计划，将促进创新 附属机构对PSC的主要研究领域(PRA)做出的方法和实质性贡献。 STC将就改进和部署创新和大规模调查、分析大数据和 复杂的抽样调查数据；将行政数据和有机数据联系起来；设计和实施 实验和准实验研究；收集和分析生物社会和遗传数据；设计 改善人口健康的适应性干预措施；收集和分析定性和人种学 数据；以及处理受限数据。STC还将指导和支持进入大学级别的高级 高性能计算资源和受限的数据飞地。STC将继续组织实践活动 由内部和外部专家指导的关于最新方法主题的研讨会。这些研讨会 他们的存档材料将提供给密歇根大学和其他地方的研究人员。最后，STC将继续 为PSC附属公司开发和实施新的研究方法提供小额赠款支持，并提供资金 为初级科学家提供必要的存储和计算资源。这些与方法论相关 活动构成了我们增加PSC附属公司的科学创新和影响的方法的支柱 研究和附属公司赠款提案的成功。这些共享资源不能有效地 由任何一家附属机构支持，并将成为密歇根大学以外的研究人员的一项公益事业。