Scientific Core

科学核心

• 批准号: 10662205
• 负责人: FEINIAN CHEN
• 金额: $ 20.58万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-10 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10662205
• 关键词: Address; Adoption; African; Age; Area; Bayesian Modeling; Biological Markers; Biometry; COVID-19 pandemic; Cohort Studies; Computers; Consultations; Country; Data; Data Analyses; Data Analytics; Data Collection; Data Science; Data Sources; Development; Educational workshop; Event; Fertilization; Funding; Goals; Growth; Health Sciences; High Performance Computing; Influentials; Lead; Licensing; Link; Mathematics; Measurement; Memory; Methodology; Methods; Modeling; Output; Population; Population Dynamics; Population Process; Population Sciences; Postdoctoral Fellow; Production; Productivity; Program Development; Public Health; Publications; Research; Resources; Series; Services; South Asian; Survey Methodology; Surveys; Techniques; Time; Universities; Work; career; data acquisition; data management; design; digital; econometrics; improved; informal learning; innovation; laptop; programs; simulation; social; sociodemographics; synergism

Scientific Core Abstract The primary goal of the Scientific Core is to enhance the scientific impact, innovation, and productivity of Hopkins Population Center (HPC) Associates’ research by facilitating the expansion of existing research, initiation of new research directions, cross-fertilization across HPC Primary Research Areas (PRAs), successful attainment of competitive external funding, and production of influential publications. The HPC Director, Dr. Lingxin Hao, also directs the Scientific Core. Dr. Ciprian Crainiceanu is the Methods Lead, and Dr. Qingfeng Li is the Data Lead. The Scientific core includes a part-time technical staff and a graduate RA. The Scientific Core provides three types of services: Methods, Data, and Computing. Specifically, the Methods Support facilitates the adoption of advanced methods to enhance the rigor of population dynamics research in three topics: (1) Advanced Data Analytics address the fusion between data science, population science, and health science, focusing on innovative analytics of wearable data, biomarkers, and population-scale networks available in surveys or cohort studies; (2) Advanced Demographic Measurement and Modeling methods enhance population dynamics research, focusing on advanced demographic measurement, Bayesian modeling, and causal inferences; and (3) Data Collection Methods in the 21st Century focuses on innovative data collection methods such as digital survey methods, long-term panel surveys, assessing and achieving population representativeness, and innovative combination of qualitative data and econometrics. The Scientific Core provides Methods Support via Methodological Consultation for developing new projects and analyzing data supported by a Methodological Improvement Fund (MIF) program and Informal Educational Programs. The Data Support includes timely data acquisition and management for new demographic events and changing population processes, including the COVID-19 pandemic. The Computing Support maintains a “Cold Room” for confidential data use and a server with a large memory and voluminous workspace. The Scientific Core, jointly with the Development Core and Administrative Core, provides concerted nurturing of Early-Career Associates to put them on fast track to independence. The P2C funding will allow the Scientific Core to provide targeted, efficient services to HPC Associates and maximize the HPC’s scientific output through a close synergy with the Development Core and Administrative Core, linking HPC Associates’ methodological needs with methodological expertise within and beyond Johns Hopkins University (JHU) and leveraging the resources of JHU’s data science units.

科学核心摘要 科学核心的主要目标是增强科学影响、创新和生产力 霍普金斯人口中心 (HPC) 同事的研究通过促进现有研究的扩展， 启动新的研究方向、跨 HPC 主要研究领域 (PRA) 的交叉融合、 成功获得有竞争力的外部资金，并出版有影响力的出版物。 主任 Lingxinhao 博士同时也是科学核心的负责人，Ciprian Crainiceanu 博士是方法负责人。 李庆峰是科学核心，包括一名兼职技术人员和一名研究生 RA。 Scientific Core 提供三种类型的服务：方法、数据和计算，具体来说是方法。 支持有助于采用先进方法来提高人口动态研究的严谨性 三个主题：(1) 高级数据分析解决数据科学、人口科学和数据科学之间的融合 健康科学，专注于可穿戴数据、生物标记和人口规模网络的创新分析 (2) 先进的人口统计测量和建模方法 加强人口动态研究，重点关注先进的人口测量、贝叶斯 建模和因果推理；(3) 21 世纪的数据收集方法侧重于创新 数据收集方法，如数字调查方法、长期小组调查、评估和实现 人口代表性，以及定性数据和计量经济学的创新结合。 Core 通过方法咨询提供方法支持，用于开发新项目和分析 数据由方法改进基金 (MIF) 计划和非正式教育计划支持。 数据支持包括对新人口事件的及时数据采集和管理以及 不断变化的人口流程，包括 COVID-19 大流行，计算支持保持“冷”。 用于机密数据使用的“房间”以及具有大内存和大量工作空间的服务器。 核心与发展核心和行政核心共同为早期职业生涯提供协调一致的培养 同事们将帮助他们快速走向独立。P2C 资金将使科学核心能够提供服务。 为 HPC 同事提供有针对性、高效的服务，并通过密切的合作最大限度地提高 HPC 的科学产出 与开发核心和管理核心的协同作用，将 HPC Associates 的方法需求联系起来 拥有约翰·霍普金斯大学 (JHU) 内部和外部的方法学专业知识并利用资源 JHU 的数据科学部门。