Value-Added Postdoctoral Research on the Scientific Workforce

国家统计科学研究所（NISS）的博士后研究项目包括进行创新研究和创造有用的产品，不仅支持国家科学和工程统计中心（NCSES）的使命，而且还解决国家的需求。从技术角度来看，研究由两个统计主题和两个关键的社会问题构成。第一个统计主题是对数据整合和分析的新方法所产生的不确定性进行定性，以满足数据收集预算下降和政府调查参与减少的时代的一项关键需求。第二个主题是用真实的数据进行实验，模拟感兴趣的现象，以评估，并在某些情况下，使方法的进步。 关于调查的关键问题，如多少次，以何种方式联系非受访者，是太复杂了，分析处理，不可行的解决与真实的世界的实验，因此，模拟是有效的唯一可用的实验室。具体的研究主题包括数据集成，预测，模型设计反馈，数据质量意识的统计披露限制和成本数据质量权衡。所有联邦统计机构都将从这项研究中受益，该研究将产生创新的理论、新颖的方法和算法实施，以及为未来数据收集提供信息的数据集、分析、软件和见解。更广泛的影响：社会问题是劳动经济学，因为它涉及科学、工程和卫生劳动力（SEHW）。了解工资、附加福利、流动性和培训/工作关系等现象，对于保持美国在全球经济中的竞争力以及应对经济困难时期的挑战至关重要。第二个问题是老龄化，因为除了在美国以外出生的学生的作用之外，老龄化是SEHW（以及可以说是整个社会）发生的最重要的现象。对于这两个问题，理解SEHW中观察到的行为的急剧增加的丰富性是一个深刻的机会。新型家庭结构、共同职位和一系列退休后就业形式是我们这个时代的主要社会趋势。该项目将产生新的见解，为未来的研究和健全的政策提供信息。

This postdoctoral research program at the National Institute of Statistical Sciences (NISS) comprises performing innovative research and creating usable products that not only support the mission of the National Center for Science and Engineering Statistics (NCSES) but also address the needs of the nation.From a technical perspective, the research is framed by two statistical themes and two key societal issues. The first statistical theme is characterization of uncertainties arising from novel methods of integrating and analyzing data, addressing a critical need in an era of declining data collection budgets and decreasing participation in government surveys. The second theme centers on conducting experiments with real data, simulating phenomena of interest in order to evaluate, and in some cases enable, methodological advances. Key issues regarding surveys, such as how many times and by what means to contact nonrespondents, are too complex to be treated analytically, and infeasible to address with real world experiments; therefore simulation is effectively the only laboratory available. Specific research topics include data integration, prediction, model to design feedback, data-quality-aware statistical disclosure limitation and cost data quality tradeoffs. All Federal statistical agencies stand to benefit from the research, which will produce innovative theory, novel, methodology and algorithmic implementations, together with datasets, analyses, software and insights that inform future data collections.Broader Impacts: The societal issues are labor economics as it relates to the science, engineering and health workforce (SEHW). Understanding phenomena such as salaries, fringe benefits, mobility and training/job relationships is crucial to maintaining the United States' competitiveness in a global economy, as well as to facing the challenges of difficult economic times. The second issue is aging, because other than the role of students born outside of the US, aging is the most important phenomenon taking place in the SEHW (and, arguably, in society as a whole). For both issues, understanding the dramatically increasing richness of observed behaviors within the SEHW is a profound opportunity. New kinds of family structures, shared positions, and an array of forms of post-first-retirement employment are among the central social trends of our times. This project will generate new insights that inform both future research and sound policy.