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.

项目摘要/摘要 华盛顿大学人口统计学与生态学研究中心（CSDE）提案 培训计划，以创建新一代的人口科学家和人群，具备技能的技能 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 提供了一个至关重要的跨学科框架，以理解社会，经济，政治和人口 影响疾病，死亡率，生育和迁移模式的动态。但是要从噪声中提取信号 这些过程的复杂相互作用是下一代需要采用最先进方法的培训。这 计划将使受训者成为领导者的问题，涉及广泛的复杂数据，包括数据 由多种来源引起的，不打算研究的数据（例如，管理数据），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之间的合作 Escience Institute（UW的数据科学中心）以及统计与社会科学中心（CSSS）。 这三个机构在人口统计学方法，数据科学，计算机科学方面结合了广泛的专业知识 和统计方法，并在研究和培训活动方面有很长的成功记录， 在人口研究中包括大数据中的BD2K轨道。通过这项合作，学员将接受 以下领域的一系列课程工作：高级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。学员还将参加团队成员 过程，他们与主要心理建立学徒关系，但也直接学习 来自其他教师和学员，通过协作项目和半手。导师将来自这三个 中心以及其他各个部门都被选为提供最相关的专家 包括来自高级生物统计学，统计和计算机科学部门的多个教师 ＆ 工程。此外，学员将通过与校园和当地人的轮换获得动手体验 合作伙伴。每个学员都将旋转Escience的可重复性和开放科学特殊兴趣 集团（SIG），开发了促进可再现研究的资源。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， 复杂性数据革命下一步提供。