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; 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.

科学技术核心：摘要 科学技术核心（STC）的目的是促进这一目标的总体目标 P2C提案 - 通过增强方法设计，创建和使用新数据来推进人口科学 用于所有三个活动，并通过提供技术支持和计算指导。 STC会 为人口研究的初级和已建立的分支机构提供一系列活动的支持 密歇根大学（U-M）的中心（PSC）以及其他机构的研究人员 生产力，提高其工作的科学影响，并支持创新的协作人群 科学。 STC将提供增强的个性化的STC咨询，以建议数据管理和 分析问题，同时还可以访问最先进的方法论工具。如果更广泛 需要项目援助，STC员工数据科学家和统计学家还可以提供有偿研究支持 对于那些有外部资金的人，可以补贴部分薪水，并有效利用P2C资金 仅支持他们的一部分时间。我们将通过建立六个流行的STC咨询服务来扩展这一流行的STC咨询服务 新的人口数据来源专家的会员科学咨询委员会（STC-SAC）和高级 统计和数据科学技术。 STC Consulting和STC-SAC还将将PSC分支机构与 社会研究研究所（ISR）的其他主要方法论计划将增强创新 分支机构对PSC的主要研究领域（PRA）所做的方法论和实质性贡献。 STC将咨询有关改进和实施创新和大规模调查的协商，分析大数据和 复杂的样本调查数据；链接行政和有机数据；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 改善人口健康的自适应干预措施；收集和分析定性和人种学 数据;并使用受限数据。 STC还将指导并支持访问大学级别的高级 绩效计算资源和限制数据飞地。 STC将继续组织动手 内部和外部专家指导的有关最新方法主题的讲习班。这些研讨会 U-M及其他地区的研究人员将使用他们的存档材料。最后，STC将继续 为PSC分支机构提供少量赠款支持，以开发和实施新的研究方法和资金 供初级科学家获得必要的存储和计算资源。这些与方法相关 活动构成了我们增加PSC分支机构的科学创新和影响的方法的骨干。 研究与分支机构的赠款提案的成功。这些共享资源无法有效 在任何单一会员的支持下，还将成为U-M之外的研究人员的公共物品。