Columbia Population Research Center - Computing and Methods Core

哥伦比亚人口研究中心 - 计算和方法核心

• 批准号: 10369716
• 负责人: Julien O Teitler
• 金额: $ 7.89万
• 依托单位: COLUMBIA UNIV NEW YORK MORNINGSIDE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10369716
• 关键词: Address; Adoption; Applications Grants; Collaborations; Computer Systems; Computer software; Computing Methodologies; Consult; Consultations; Data; Data Analyses; Data Collection; Data Science; Data Storage and Retrieval; Development; Economics; Educational workshop; Elements; Environment; Equipment; Faculty; Fostering; Foundations; Funding; Generations; Geography; High Performance Computing; Information Technology; Infrastructure; Institutes; Interview; Longitudinal Surveys; Manuscripts; Maps; Methodology; Neighborhoods; New York City; Personal Satisfaction; Play; Policies; Population Research; Poverty; Preparation; Price; Probability Samples; Productivity; Protocols documentation; Research; Research Design; Research Methodology; Research Personnel; Resources; Robin bird; Scholarship; Schools; Scientist; Secure; Services; Social Sciences; Social Work; Study Subject; Surveys; System; Technical Expertise; Training; Universities; Visualization; Work; astrophysics; cluster computing; computer infrastructure; cost; data enclave; design; experience; falls; field study; field survey; human subject; innovation; member; repaired; scale up; social; social science research; statistics; symposium; tool; tool development; virtual; web site

Abstract – Computing and Methods Core The computing and methods core (CMC) achieves CPRC aims by providing a variety of computing and methods services that are designed to increase the productivity, efficiency, and quality of CPRC scholarship. These services, which have transformed the computing and methods infrastructure at Columbia, include: 1) Cross-Institutional Collaboration. The CMC plays a key role in building collaborations with other campus units that have resulted in major improvements in the university's IT infrastructure in high performance computing (HPC), facilities for the analysis of sensitive and restricted data, wrap-around desktop support services, and a shared research data storage initiative. 2) High Performance Computing (HPC). The CMC's initiation of a HPC cluster greatly advanced the state of HPC to meet the needs of population research at Columbia. Currently 23 CPRC affiliates have accounts on the HPC system. 3) Secure Computing Environment. The CMC established a Secure Data Enclave (SDE) service for CPRC and its partners in fall 2012. The SDE is a virtual computing environment that provides secure remote access to restricted data and statistical applications. The CMC co-chairs have worked with the Columbia University Informational Technology (CUIT) office to scale up the SDE, increasing its storage capacity and computational power. 4) Desktop Support. The CMC continues to provide wrap-around desktop support for its members. 5) GIS Services. The GIS consulting service includes support for study design and grant application preparation, advice on the analysis of spatial and neighborhood data, and the development of maps and visualizations for scientific manuscripts, seminars, and websites. 6) Support for Innovative Methodologies. A priority of the CMC moving forward is to promote the adoption of data science innovations among its faculty, through conferences demonstrating the value of new data collection and analysis tools, training workshops, and facilitating collaborations with data science scholars. Collaborations with Columbia's Data Science Institute are already very active. 7) Survey Lab. The Robin Hood Foundation funds the New York City Longitudinal Survey of Wellbeing (NYCLSW, aka “Poverty Tracker”), an ongoing panel study of New Yorkers, interviewed every 3 months. To accommodate the growing need for space for survey staff to conduct interviews, CPRC partnered with the School of Social Work to open the CPRC survey lab in 2017. The survey lab staff and management can be deployed by CPRC faculty to field surveys or for survey research consultations. The NYCLSW is also available to field test questions and collect experimental data on a probability sample of New Yorkers at very low costs.

抽象计算与方法核心 计算和方法核心(CMC)通过提供各种计算和方法来实现CPRC的目标 旨在提高中国红十字会奖学金的生产率、效率和质量的服务。这些 改变了哥伦比亚大学计算和方法基础设施的服务包括： 1)跨机构协作。CMC在与其他校园建立合作方面发挥着关键作用 在高性能方面对大学的IT基础设施产生重大改进的单位 计算(HPC)、用于分析敏感和受限数据的工具、全面的桌面支持 服务，以及共享的研究数据存储倡议。 2)高性能计算(HPC)。CMC启动HPC群集极大地推动了 HPC以满足哥伦比亚大学人口研究的需要。目前，中国红十字会有23家附属公司在 高性能计算机系统。 3)安全计算环境。CMC为CPRC建立了安全数据飞地(SDE)服务，并 它的合作伙伴在2012年秋季。SDE是一个虚拟计算环境，提供安全的远程访问 受限的数据和统计应用。CMC联合主席与哥伦比亚大学合作 信息技术(CUIT)办公室扩展SDE，增加其存储容量和计算能力 权力。 4)桌面支持。CMC继续为其成员提供环绕式桌面支持。 5)地理信息系统服务。地理信息系统咨询服务包括对研究设计和拨款申请的支持 编制、关于空间和邻里数据分析的咨询意见，以及开发地图和 科学手稿、研讨会和网站的可视化。 6)支持创新方法。中央军委向前推进的一个优先事项是促进通过 通过会议展示新数据收集的价值，在教职员工中进行数据科学创新 和分析工具，培训研讨会，并促进与数据科学学者的合作。 与哥伦比亚大学数据科学研究所的合作已经非常活跃。 7)勘测实验室。罗宾汉基金会资助纽约市福祉纵向调查 (NYCLSW，又名“贫困追踪者”)，一项正在进行的针对纽约人的小组研究，每3个月采访一次。至 为配合调查人员进行访问所需的空间不断增加，中国红十字会与 社会工作学院将于2017年开设中国红十字会调查实验室。调查实验室的工作人员和管理人员可以 由CPRC教职员工部署进行实地调查或调查研究咨询。NYCLSW也可以使用 以非常低的成本对纽约人的概率样本进行实地测试和收集实验数据。