A Next Generation Data Infrastructure to Understand Disparities across the Life Course

下一代数据基础设施可了解整个生命周期的差异

• 批准号: 10588092
• 负责人: Arie Kapteyn
• 金额: $ 849.52万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10588092
• 关键词: Accounting; Address; Adult; Affect; Aging; Air; Area; Asian population; Attitude; Behavioral; Black Populations; COVID-19 pandemic; California; Child Development; Cognition; Collection; Communication; Communities; Complex Analysis; Consumption; Custom; Data; Data Collection; Data Sources; Development; Disability Insurance; Disparity; Ecological momentary assessment; Economics; Ecosystem; Education; Electronics; Ensure; Environment; Environmental Health; Ethnic Population; Event; Family; Frequencies; Funding; General Population; Goals; Graph; Health; Healthcare; Hispanic Populations; Hour; Household; Income; Individual; Inequality; Infrastructure; Institution; Internet; Interview; Interviewer; Knowledge; Length; Life Cycle Stages; Link; Longitudinal Studies; Machine Learning; Measures; Methods; Neighborhoods; Outcome; Pathway interactions; Pattern; Personal Satisfaction; Personality; Persons; Physical activity; Physical environment; Plants; Policies; Pollution; Probability; Questionnaires; Race; Recording of previous events; Records; Relaxation; Research; Research Infrastructure; Research Personnel; Resources; Respondent; Retirement; Sampling; Schools; Sleep; Social Environment; Social Sciences; Social Security; Subgroup; Surveys; Tablets; Technology; Work; aging population; behavioral response; cognitive testing; data dissemination; data infrastructure; data quality; data repository; design; economic disparity; ethnic minority; experimental study; flexibility; health care availability; health disparity; improved; innovation; instrument; interest; life history; member; new technology; next generation; novel; programs; racial discrimination; racial disparity; racial minority; racial population; recruit; response; social; social science research; socioeconomic disparity; symposium; synergism; usability; user-friendly; wearable device; web interface

Summary This infrastructure proposal aims to further advance capabilities in the social sciences (broadly defined) to collect data on the daily lives of U.S. families and individuals. These data will be more accurate, more granular, and more comprehensive than is currently possible in traditional survey-based research. The context for this is the Understanding America Study (UAS), the probability-based Internet panel we have been building at USC since 2014. The infrastructure includes the combination of many data types (including survey data, information from wearables, contextual and administrative linkages, ecological momentary assessments, self-recorded narratives, and electronic records of financial transactions), as well as an open communication with the wider research community both in data dissemination and in soliciting input on content and methods. The UAS currently comprises about 10,000 U.S. residents (including a 2,500 person California oversample), recruited by address-based sampling and provided with Internet-enabled tablets if needed. Surveys are conducted in English and Spanish. We propose to expand the UAS national sample to 20,000 respondents, with subsamples of Blacks, Asians, and Hispanics of at least 3,000 each. The information collected will focus on factors explaining racial and socio-economic disparities over the life course, including racial discrimination, inequalities in access to education and healthcare, differences in the physical and social environment, and, more generally, the various opportunities and obstacles one encounters over the life course. The proposed project team covers a broad spectrum of substantive expertise on disparities, racial discrimination, environmental health, child development, health, and cognition over the life course, as well as aging and retirement, consumption, work, and income. To encourage input from the research community, we envision a program of added survey modules on inequality-related topics proposed by outside researchers, as well as an annual research conference. The basic premise underlying the project is that the only feasible approach to comprehensively investigating the impact of differences in the life course on observed inequality is to enact a robust multi-method approach that provides the means of accounting for as many explanatory factors as possible. Within that context, naturally occurring experiments can be exploited to help identify causal pathways of interest (e.g., when air quality in a neighborhood improves due to a plant closure; a policy change that affects the quality of schools in a certain area). Thus, our proposed project aims to create and make available to the research community a uniquely detailed and focused collection of information on U.S. households and individuals. To achieve this goal, we aim to strategically integrate selected external data sources with UAS survey data and expand the already broad set of topics covered by UAS surveys.

概括 这项基础设施建议旨在进一步提高社会科学（广泛定义）的能力 收集有关美国家庭和个人日常生活的数据。这些数据将更准确，更详细， 比传统的基于调查的研究目前可能更全面。这样的背景是 我们一直在南加州大学建立的基于概率的互联网面板的America America研究（UAS） 自2014年以来。基础架构包括许多数据类型的组合（包括调查数据，信息 从可穿戴设备，上下文和行政联系，生态瞬时评估，自我录制 叙述和财务交易的电子记录）以及与更广泛的公开通信 研究社区在数据传播和征求内容和方法的征集意见方面。 UAS目前包括约10,000名美国居民（包括2500人加利福尼亚州）， 通过基于地址的采样招募，并在需要的情况下提供支持Internet的平板电脑。调查是 用英语和西班牙语进行。我们建议将UAS国家样本扩展到20,000名受访者 黑人，亚洲人和西班牙裔的子样本至少为3,000。 收集的信息将集中于解释生活中种族和社会经济差异的因素 课程，包括种族歧视，获得教育和医疗保健的不平等，差异 物理和社会环境，更普遍地，各种机会和障碍都遇到 在人生过程中。 拟议的项目团队涵盖了有关差异，种族差异的广泛专业知识 对生活课程的歧视，环境健康，儿童发展，健康和认知 衰老和退休，消费，工作和收入。为了鼓励研究界的意见，我们 设想一个有关外部研究人员提出的与不平等相关主题的添加调查模块的计划， 以及年度研究会议。 该项目的基本前提是，唯一全面调查的可行方法 生命过程中差异对观察到的不平等的影响是制定强大的多方法方法 这提供了尽可能多的解释因素的手段。在这种情况下，自然而然 可以利用发生的实验来帮助识别感兴趣的因果途径（例如，当空气质量在 由于植物关闭，社区改善；政策变更影响一定的学校质量 区域）。因此，我们提议的项目旨在创建并为研究社区提供独特的 有关美国家庭和个人的详细和重点收集信息。为了实现这一目标，我们的目标 战略性地将选定的外部数据源与UAS调查数据集成并扩展已经广泛的集合 UAS调查涵盖的主题。