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: 10650361
• 负责人: Zack W Almquist
• 金额: $ 20.82万
• 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/10650361
• 关键词: Data Science; Demography; Training; population health

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 a 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 get 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. CSDE requests support for 5 pre-doctoral trainees per year, with total direct costs of $1,744,650.00, over 5 years.

摘要 华盛顿大学人口学和生态学研究中心 提出一项培训计划，以培养新一代人口科学家和 具备进行数据密集型研究的技能的人口学家 计算和统计方法。人口科学提供了一个重要的跨学科 了解社会、经济、政治和人口动态的框架 疾病、死亡率、生育力和迁徙的模式，但要从噪声中提取信号 这些过程的复杂相互作用下一代需要接受最先进的培训 方法：研究方法。该计划将使受训人员成为涉及广泛问题的领导者 复杂数据，包括来自多个来源的数据、非用于研究的数据(例如 管理数据)、动态或空间数据、网络数据和“大数据”来源。在核心 该项目是CSDE、电子科学研究所(UW的数据科学) 统计和社会科学中心(统计和社会科学中心)。这三个研究所 结合人口统计学方法、数据科学、计算机科学和 统计方法，并在研究和培训方面有长期成功的合作记录 活动，包括人口研究大数据中的BD2K轨道。通过这件事 合作，学员将在以下领域学习一系列课程：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 伦理道德。学员还将参加团队指导过程，在那里他们将制定 与主要导师的学徒关系，但也直接从其他教职员工和 通过合作项目和研讨会培训学员。导师将来自所有三个中心， 以及各种额外的部门，被选中提供最相关的专业知识， 包括来自生物统计、统计和高级学院的多名教师 计算机科学与工程。此外，学员还将通过以下途径获得实践经验 与校园内和当地合作伙伴轮换。每位学员将轮流参加eScience的 可再生性和开放科学特殊兴趣小组(SIG)，该组织开发以下资源 促进可重复的研究。培训计划将确保学员获得所需的 理论和应用经验，能够应对数据的各种挑战和复杂性 下一次革命提供了。CSDE请求每年支持5名博士前实习生，总计 5年内的直接成本为1,744,650.00美元。

项目成果

Psychosocial and energetic factors on human female pubertal timing: a systematized review.

• DOI: 10.1017/ehs.2022.24
• 发表时间: 2022
• 期刊: EVOLUTIONARY HUMAN SCIENCES
• 影响因子: 2.6
• 作者: Glass, Delaney J.;Geerkens, Joy T.;Martin, Melanie A.
• 通讯作者: Martin, Melanie A.

Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings.

迈向跨平台框架：评估在线租赁列表的全面性。

• 发表时间: 2021
• 期刊: Cityscape (Washington, D.C.)
• 作者: Costa,Ana;Sass,Victoria;Kennedy,Ian;Roy,Roshni;Walter,RebeccaJ;Acolin,Arthur;Crowder,Kyle;Hess,Chris;Ramiller,Alex;Chasins,Sarah
• 通讯作者: Chasins,Sarah

Life Expectancy and COVID-19 in Florida State Prisons.

• DOI: 10.1016/j.amepre.2021.12.011
• 发表时间: 2022-06
• 期刊: American journal of preventive medicine
• 影响因子: 5.5
• 作者: Marquez NM;Littman AM;Rossi VE;Everett MC;Tyagi E;Johnson HC;Dolovich SL
• 通讯作者: Dolovich SL

Frequency and Combination of Sequential Sexual Acts That May Lead to Sexually Transmitted Infections at Different Anatomic Sites Within the Same Person.

• DOI: 10.1007/s10508-022-02486-2
• 发表时间: 2023-02
• 期刊: ARCHIVES OF SEXUAL BEHAVIOR
• 影响因子: 3.8
• 作者: Khosropour, Christine M.;Coomes, David M.;Barbee, Lindley A.
• 通讯作者: Barbee, Lindley A.