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.

科学技术核心：总结 科学和技术核心（STC）的目标是推进这一目标的总体目标 P2C 提案 - 通过增强方法来设计、创建和使用新数据来推进人口科学 STC 将用于所有三项活动，并提供计算技术支持和指导。 为人口研究的初级和成熟附属机构提供一系列活动支持 密歇根大学 (U-M) 中心 (PSC) 以及其他机构的研究人员，增强他们的研究能力 生产力，提高工作的科学影响力，促进创新、协作 STC 将提供增强的、个性化的 STC 咨询，为数据管理和科学提供建议。 分析问题，同时还提供更广泛的最先进的方法工具。 需要项目协助时，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 对于有外部资金的，补贴一部分工资，有效利用P2C资金 我们将通过建立一个六人小组来扩展这项受欢迎的 STC 咨询服务。 人口数据新来源和高级专家组成的科学咨询委员会 (STC-SAC) 成员 STC 咨询公司和 STC-SAC 还将把 PSC 附属机构与统计和数据科学技术联系起来。 社会研究所（ISR）的其他主要方法学项目将增强创新 附属机构对 PSC 的主要研究领域 (PRA) 做出的方法论和实质性贡献。 STC 将就改进和开展创新性大规模调查、分析大数据和 复杂的样本调查数据；链接行政数据和有机数据； 实验和准实验研究；收集和分析生物社会和遗传数据； 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； STC 还将指导和支持获取大学水平的数据。 STC 将继续组织实践。 由内部和外部专家讲授的关于最先进方法主题的研讨会。 他们的存档材料将可供密歇根大学及其他地区的研究人员使用。最后，STC 将继续进行。 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，并提供资金 为初级科学家获得必要的存储和计算资源。 活动构成了我们提高 PSC 附属机构的科学创新和影响力的方法的支柱 这些共享资源无法有效地进行研究和附属机构的资助提案的成功。 得到任何单一附属机构的支持，并且还将为密歇根大学以外的研究人员提供公共利益。