A Multigenerational Longitudinal Panel for Aging Research

衰老研究的多代纵向小组

• 批准号: 9769604
• 负责人: Steve Ruggles
• 金额: $ 68.12万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9769604
• 关键词: Adult; Age; Aging; Big Data; Censuses; Characteristics; Communities; Custom; Data; Data Quality; Data Security; Databases; Demographic Transitions; Economics; Education; Elderly; Exposure to; Family; Family member; Future; Genealogy; Generations; Health; Household; Immigration; Income; Individual; Industrialization; Infrastructure; Institution; Investments; Knowledge; Late Onset Alzheimer Disease; Life; Life Cycle Stages; Link; Machine Learning; Metadata; Methods; Military Personnel; Mission; Names; Neighborhoods; Older Population; Outcome; Personal Satisfaction; Persons; Policy Making; Population; Population Process; Process; Public Policy; Records; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Respondent; Running; Sampling; Selection Bias; Social Processes; Social Security; Societies; Source; Structure; Surveys; Technology; Time; Urbanization; War; Weight; Woman; Work; aging population; base; cognitive capacity; cost effective; data integration; economic outcome; experience; health economics; improved; innovation; intergenerational; lead exposure; learning strategy; life history; longitudinal dataset; machine learning algorithm; novel; parallel processing; social; socioeconomics; tool; transmission process

Summary/Abstract This project will construct a Multigenerational Longitudinal Panel (IPUMS-MLP) of unprecedented scale and scope. Using cutting-edge automatic record linkage technology and drawing on complete count U.S. census data available from IPUMS for the period 1850 to 1940, the project will construct millions of individual life histories and trace millions of families over multiple generations. This infrastructure will provide the most comprehensive view of long-run changes in life-course dynamics available for any place in the world and will transform our understanding of processes of population aging. The work will require significant innovation and new technical infrastructure to accommodate the massive scale of the database. These data will allow investigators to directly observe changes in aging processes and life-course transitions during the period in which U.S. society was being transformed by industrialization, urbanization, immigration, demographic transition, and economic collapse. Investigators will be able to follow individuals over time to evaluate the impact of early-life conditions on later outcomes, trace life-course transitions into adulthood and old age, and observe family change over multiple generations. IPUMS-MLP will enrich existing aging surveys by providing data on multiple generations of forebears of survey respondents; likewise, it will enrich existing historical databases by enabling them to connect with descendants across multiple generations. Leveraging billions of dollars of federal investments in census data and transactional records from a variety of administrative sources, this project is a highly cost-effective use of scarce resources to develop shared infrastructure for research, education, and policy-making on health and aging.

摘要/摘要 该项目将构建一个前所未有的规模和 范围。使用尖端的自动记录链接技术并绘制完整计数美国人口普查 该项目可从1850年至1940年期间提供的数据，该项目将构建数百万个个人生活历史 并追踪数百万个家庭。该基础设施将提供最全面的 可用于世界上任何地方的生活方式动态变化的长期变化的观点，并将改变我们的 了解人口衰老的过程。这项工作将需要大量的创新和新的技术 基础架构可容纳数据库的大规模规模。 这些数据将允许研究人员直接观察老化过程和生命过程过渡的变化 在美国社会通过工业化，城市化，移民的转变期间 人口过渡和经济崩溃。调查人员将能够随着时间的流逝跟随个人 评估早期疾病对后期结果的影响，痕量的生活道路过渡到成年和旧 年龄，并观察多代家庭的变化。 IPUMS-MLP将通过 提供有关调查受访者的前辈的数据；同样，它将丰富现有 历史数据库通过使它们能够与多代后代联系。利用 来自多种行政管理的数十亿美元的联邦投资于人口普查数据和交易记录 资料来源，该项目是对稀缺资源的高度成本效益，用于开发共同的基础架构 研究，教育以及健康与衰老的决策。