Data Science Training in Demography and Population Health

人口学和人口健康方面的数据科学培训

• 批准号: 10379729
• 负责人: SARA R. CURRAN
• 金额: $ 10.34万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10379729
• 关键词: Data Science; Demography; Training; population health

Project Summary/Abstract The Center for Studies in Demography and Ecology (CSDE) at the University of Washington proposes a training program to create a new generation of population scientists and demographers equipped with skills to conduct data intensive research with advanced computational and statistical methods. Population science provides a crucial interdisciplinary framework for understanding the social, economic, political, and demographic dynamics affecting patterns of disease, mortality, fertility, and migration. But to extract signal from noise in the complex interplay of these processes the next generation requires training in state-of-the-art methods. The program will prepare trainees to be leaders in problems involving a wide range of complex data, including data arising from multiple sources, data not intended for research (e.g.administrative data), dynamic or spatial data, network data, and “big data'' sources. At the core of this program is a collaboration between CSDE, the eScience Institute (UW's data science center), and the Center for Statistics and the Social Sciences (CSSS). These three institutes combine extensive expertise in demographic methods, data science, computer science and statistical methods and have a long, successful record of collaboration on research and training activities, including a BD2K track in Big Data for Demographic Research. Through this collaboration, trainees will take a series of coursework in the following areas: advanced statistical methods and machine learning, coding, databases, data visualization/communication, and data ethics. Trainees will also take part in team-mentoring processes, where they develop an apprenticeship relationship with a primary mentor but also learn directly from other faculty and trainees through collaborative projects and seminars. Mentors will come from all three centers, along with a variety of additional departments, selected to provide the most relevant expertise, including multiple faculty from the highly-ranked departments of Biostatistics, Statistics and Computer Science & Engineering. Further, trainees will receive hands-on experience through rotations with on-campus and local partners. Each trainee will do a rotation in eScience's Reproducibility and Open Science Special Interest Group (SIG), which develops resources that facilitate reproducible research. The training program will ensure trainees obtain the requisite theoretical and applied experience to take on whatever challenges and complexities the data revolution next provides.

项目总结/摘要 华盛顿大学的人口与生态学研究中心（CSDE）提出了一项 培训方案，以培养新一代人口科学家和人口统计学家， 使用先进的计算和统计方法进行数据密集型研究。人口科学 提供了一个重要的跨学科框架，了解社会，经济，政治和人口 影响疾病、死亡率、生育率和移徙模式的动态。但是为了从噪声中提取信号， 这些过程的复杂相互作用，下一代需要接受最先进方法的培训。的 该计划将培养学员成为涉及广泛复杂数据的问题的领导者，包括数据 来自多个来源的数据，不用于研究的数据（如行政数据），动态或空间数据， 网络数据和“大数据”来源。该计划的核心是CSDE， eScience Institute（UW的数据科学中心），以及统计和社会科学中心（CSSS）。 这三个机构联合收割机在人口统计学方法、数据科学、计算机科学 和统计方法，并在研究和培训活动方面有着长期成功的合作记录， 包括BD 2K轨道在大数据人口研究。通过这种合作，学员将采取 在以下领域的一系列课程：先进的统计方法和机器学习，编码， 数据库、数据可视化/通信和数据伦理。学员还将参加团队指导 过程，在那里他们与主要导师建立学徒关系，但也直接学习 从其他教师和学员通过合作项目和研讨会。导师将来自所有三个 中心，沿着各种额外的部门，选择提供最相关的专业知识， 包括来自生物统计学，统计学和计算机科学的高排名部门的多名教师 &工程。此外，学员将通过与校内和当地的 伙伴每个学员将在eScience的生殖科学和开放科学特别兴趣中进行轮换 SIG，开发促进可重复研究的资源。培训计划将确保 学员获得必要的理论和应用经验，以应对任何挑战， 数据革命带来的复杂性。