Building Social Science Data Infrastructure: The 2016 National Asian American Survey
建设社会科学数据基础设施:2016 年全国亚裔美国人调查
基本信息
- 批准号:1558986
- 负责人:
- 金额:$ 50.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-04-15 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
SES-1558986Karthick Ramakrishnan University of California-Riverside Asian Americans are the fastest-growing racial group in the United States, and there are important gaps in our understanding of their social and civic integration. In addition, Asian Americans exhibit significant socioeconomic diversity, making them ideal for answering larger theoretical questions on immigrant incorporation in the United States, as it is shaped by differences in national origin, residential concentration, and educational and labor market outcomes. This project will build a data resource for public release in June 2017 that will have widespread utility among scholars in social science disciplines, most notably in sociology, political science, and public policy, as well for journalists and bloggers versed in social science data and trends. The survey of Asian Americans will provide important data for questions related to immigrant incorporation, attitudes on economic inequality and race-relations, and civic and political engagement. In addition to providing comparisons within the Asian American racial category, we will include cross-racial comparisons (to African Americans, Hispanics/Latinos, and non-Hispanic whites) using the same instrument and mode of interview. This project advances the mission of the National Science Foundation to promote the progress of science, particularly the social sciences, as well as to advance national health, prosperity, and welfare. In particular, this project has relevance in terms of broader impacts as specified by Congress in 2010: Asian Americans have a disproportionately large number of high-skilled workers in STEM fields. Understanding their experiences, attitudes, opportunities, and barriers, will be critical to ensuring the economic competitiveness of the United States and the development of a globally competitive STEM workforceThis survey of Asian Americans will: 1) be contemporaneous with the 2016 General Social Survey (GSS) and American National Election Study (ANES), 2) replicate key questions from those surveys, and 3) build on the pioneering efforts of past surveys of Asian Americans. The project produces a dataset for public release in June 2017 through ICPSR (Inter-university Consortium forPolitical and Social Research) that will have widespread utility among scholars in social science disciplines as well for journalists and bloggers versed in social science data and trends. The survey will provide data to address questions related to immigrant incorporation, attitudes on economic inequality and race-relations, and civic and political engagement. In addition to providing comparisons within the Asian American racial category (samples of approximately 400 adults each among major national origin groups), it will include cross-racial comparisons using the same instrument and mode of interview (approximately 400 adults each among whites, Latinos, and African Americans).A growing number of studies focus on Asian Americans. However, existing surveys tend to be limited to a small number of national origin groups or to a relatively specific geographic area. More general studies such as the GSS and ANES do not have the requisite sample size or language support to accurately capture the experiences and attitudes of Asian Americans. The primary innovation of the 2016 National Asian American Survey is to replicate questions on important general surveys, specifically the GSS and the ANES, with a large sample of Asian Americans in a well-designed study. With this commitment to question replication, the 2016 National Asian American Survey will allow researchers, for the first time, to compare Asian Americans to the U.S. public on key social and political measures, and to make important comparisons within the racial group.
SES-1558986加州大学河滨分校亚裔美国人是美国增长最快的种族群体,我们对他们的社会和公民融合的理解存在重大差距。此外,亚裔美国人表现出显著的社会经济多样性,这使他们成为回答有关移民在美国融入的更大理论问题的理想人选,因为这些问题是由国籍、居住集中度以及教育和劳动力市场结果的差异决定的。该项目将建立一个将于2017年6月公开发布的数据资源,将在社会科学学科的学者中广泛使用,尤其是在社会学、政治学和公共政策领域,以及精通社会科学数据和趋势的记者和博客作者。这项针对亚裔美国人的调查将为有关移民融入、对经济不平等和种族关系的态度以及公民和政治参与的问题提供重要数据。除了提供亚裔美国人种族类别的比较外,我们还将使用相同的采访工具和模式进行跨种族比较(与非裔美国人、拉美裔/拉美裔和非拉美裔白人)。这个项目推进了国家科学基金会的使命,即促进科学进步,特别是社会科学的进步,以及促进国家健康、繁荣和福利。特别是,这个项目在2010年国会规定的更广泛的影响方面具有相关性:亚裔美国人在STEM领域拥有不成比例的大量高技能工人。了解他们的经历、态度、机会和障碍,对于确保美国的经济竞争力和发展一支具有全球竞争力的STEM劳动力至关重要。这项针对亚裔美国人的调查将:1)与2016年一般社会调查(GSS)和美国全国选举研究(ANES)同时进行;2)复制这些调查中的关键问题;3)建立在过去对亚裔美国人调查的开创性努力的基础上。该项目制作了一个数据集,将于2017年6月通过ICPSR(大学间政治和社会研究联盟)公开发布,该数据集将在社会科学学科的学者以及精通社会科学数据和趋势的记者和博客作者中广泛使用。调查将提供数据,以解决与移民融入有关的问题,对经济不平等和种族关系的态度,以及公民和政治参与。除了提供亚裔美国人种族类别的比较(主要国家血统群体中每个人的样本约400名),它还将包括使用相同的工具和采访模式进行跨种族比较(白人、拉丁裔和非裔美国人中各约400名成年人)。越来越多的研究集中在亚裔美国人身上。然而,现有的调查往往局限于少数民族原籍群体或相对特定的地理区域。更一般的研究,如GSS和ANES,没有必要的样本量或语言支持来准确捕捉亚裔美国人的经历和态度。2016年全国亚裔美国人调查的主要创新是在一项精心设计的研究中复制了关于重要一般调查的问题,特别是GSS和ANES,在一项精心设计的研究中使用了大量亚裔美国人样本。有了这种质疑复制的承诺,2016年全国亚裔美国人调查将首次允许研究人员在关键的社会和政治指标上将亚裔美国人与美国公众进行比较,并在种族群体内进行重要的比较。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Subramanian Ramakrishnan其他文献
Analysis of the Long Time Behavior of Enzymatic Cellulose Hydrolysis Kinetics
酶促纤维素水解动力学的长期行为分析
- DOI:
10.1515/ijcre-2017-0087 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Subramanian Ramakrishnan;G. Brodeur;J. Telotte - 通讯作者:
J. Telotte
Non-Pharmaceutical Interventions as Controls to mitigate the spread of epidemics: An analysis using a spatiotemporal PDE model and math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e642" altimg="si3.svg" class="math"mrowmiC/mimiO/mimiV/mimiI/mimiD/mi/mrow/math–19 data
- DOI:
10.1016/j.isatra.2021.02.038 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:6.500
- 作者:
Faray Majid;Michael Gray;Aditya M. Deshpande;Subramanian Ramakrishnan;Manish Kumar;Shelley Ehrlich - 通讯作者:
Shelley Ehrlich
20 m s-resolved high-throughput X-ray photon correlation spectroscopy on a 500k pixel detector enabled by data-management workflow
通过数据管理工作流程实现 50 万像素探测器上的 20 m 分辨率高通量 X 射线光子相关光谱
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Qingteng Zhang;E. M. Dufresne;Y. Nakaye;P. Jemian;Takuto Sakumura;Yasutaka Sakuma;Joseph D. Ferrara;Piotr Maj;Asra Hassan;Divya Bahadur;Subramanian Ramakrishnan;F. Khan;S. Veseli;Alec R. Sandy;Nicholas Schwarz;S. Narayanan - 通讯作者:
S. Narayanan
A novel approach to forecasting reproduction numbers of spatiotemporal stochastic epidemic spread using a PDE-based model and real-time infection data
- DOI:
10.1038/s41598-025-91811-5 - 发表时间:
2025-03-21 - 期刊:
- 影响因子:3.900
- 作者:
Deepak Antony David;Chunyan Liu;Logan Street;Shelley Ehrlich;Manish Kumar;Subramanian Ramakrishnan - 通讯作者:
Subramanian Ramakrishnan
Subramanian Ramakrishnan的其他文献
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{{ truncateString('Subramanian Ramakrishnan', 18)}}的其他基金
Targeted Infusion Project: Enhancing Retention in the Chemical & Biomedical Engineering Program at Florida A and M University through Integrated Research, Teaching and Retention
靶向输注项目:增强化学品的保留
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- 资助金额:
$ 50.71万 - 项目类别:
Standard Grant
HBCU-RISE: Enhancement of Research and Education Infrastructure in the Chemistry and Engineering of Multifunctional Materials
HBCU-RISE:加强多功能材料化学与工程领域的研究和教育基础设施
- 批准号:
2219558 - 财政年份:2022
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$ 50.71万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Stochastic Spatiotemporal Dynamics of Epidemic Spread to Improve Control Interventions - From COVID-19 to Future Pandemics
合作研究:了解流行病传播的随机时空动态以改进控制干预措施 - 从 COVID-19 到未来的大流行
- 批准号:
2140405 - 财政年份:2022
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$ 50.71万 - 项目类别:
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1726035 - 财政年份:2017
- 资助金额:
$ 50.71万 - 项目类别:
Standard Grant
CREST Center for Complex Materials Design for Multidimensional Additive Processing (CoManD)
CREST 多维增材加工复杂材料设计中心 (CoManD)
- 批准号:
1735968 - 财政年份:2017
- 资助金额:
$ 50.71万 - 项目类别:
Continuing Grant
Doctoral Dissertation Research: When Descriptive Representatives' Faces Don't Match Their Races: Inconsistent Attributes and Evaluations of Multiracial Officials
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- 批准号:
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$ 50.71万 - 项目类别:
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$ 50.71万 - 项目类别:
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$ 50.71万 - 项目类别:
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- 批准号:
1124608 - 财政年份:2011
- 资助金额:
$ 50.71万 - 项目类别:
Standard Grant
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