Scientific/Technical Core

科学/技术核心

• 批准号: 10621377
• 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/10621377
• 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; 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; 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.

科学和技术核心：摘要 科学和技术核心（STC）的目标是推进本组织的总体目标。 P2C提案-设计，创建和使用新数据来推进人口科学-通过增强方法 用于所有三项活动，并为计算提供技术支持和指导。STC将 向人口研究的初级和常设分支机构提供一系列活动方面的支助 中心（PSC）在密歇根大学（UM），并从其他机构的研究人员，提高他们的 提高生产力，增加他们工作的科学影响，促进创新，协作人口 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，同时还提供最先进的方法工具。如果更广泛 如果需要项目援助，STC的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，补贴他们的一部分工资，并有效地利用P2C资金， 只支持他们一部分时间。我们将通过建立一个六- 科学咨询委员会成员，由人口数据新来源和先进的 统计和数据科学技术。STC咨询和STC-SAC还将把PSC分支机构与 社会研究所（ISR）的其他主要方法论项目，将加强创新 会员对PSC主要研究领域（PRA）的方法和实质性贡献。 STC将就改进和开展创新和大规模调查、分析大数据以及 复杂的抽样调查数据;连接行政和有机数据;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;以及使用受限数据。科技委还将指导和支持获得大学水平的高等教育， 性能计算资源和受限数据飞地。STC将继续组织实践 由内部和外部专家指导的关于最新方法专题的讲习班。这些讲习班 他们的存档材料将提供给密歇根大学及其他地方的研究人员。最后，STC将继续 为PSC附属机构提供小额赠款支持，以开发和实施新的研究方法， 让年轻的科学家获得必要的存储和计算资源。这些与方法论相关的 这些活动构成了我们提高PSC附属公司科学创新和影响力的方法的支柱。 研究和子公司的赠款提案的成功。这些共享资源无法有效地 由任何单一的附属机构支持，并将另外是一个公共利益的研究人员超越密歇根大学。