EAGER: Factors Affecting the Emerging Development of Science and Engineering Scholars

这项探索性研究早期概念资助（EAGER）将支持一个项目，该项目将研究一系列影响新兴科学和工程（S&amp；E）学者早期成功的教育决定因素，并评估早期研究资助和培训对包括就业和研究生产力在内的长期成果的影响。该项目将扩大理论讨论，重点关注科学和创新政策，将注意力集中在一个完整但被忽视的s&p；E劳动力群体上，即新兴的研究生学者。它将随着时间的推移追踪这些个体，以检查导致早期成功和研发资金和声望的长期结果的因素。该项目将为评估研发资金、创新和就业之间的关系提供证据，而汇集在一起的数据库将使未来能够研究外部资金的价值和电子相关职业轨迹的声望。调查人员将汇集有关获得美国国家科学基金会研究生研究奖学金和荣誉奖的个人的数据，以及来自美国国家研究委员会基于数据的研究博士项目评估的研究生院系数据，以及从公开的简历和简历中提取的个人层面的数据，以检查一系列有助于定义新兴s&p学者成功的前提和结果。研究人员将利用美国国家科学基金会国家科学与工程统计中心（NCSES）收集的数据，以确定一个独特的大学-部门标识的人行横道，以促进基于学术机构研究活动的两个新数据集的构建和分析。该项目由美国国家科学基金会科学与创新政策科学（SciSIP）项目发布，旨在促进STAR指标、NCSES和其他数据库的使用，以评估科学资助、就业和成果指标之间的关系。

This Early-Concept Grant for Exploratory Research (EAGER) will support a project that will examine a series of educational determinants that impact early demonstrated success for emerging science and engineering (S&E) scholars and assess the impacts of early research funding and training on longer-term outcomes that include employment and research productivity. The project will extend theoretical discussions focused on science and innovation policy by directing attention to an integral yet overlooked population of the S&E workforce, emerging graduate student scholars. It will trace these individuals over time to examine the factors that lead to early-demonstrated success and longer-term outcomes of both research and development (R&D) funding and prestige. The project will provide evidence to assess relationships among R&D funding, innovation, and employment, and the databases brought together will enable future research regarding the value of external funding and prestige across S&E-related career trajectories.The investigators will bring together data about individuals who have been awarded Graduate Research Fellowships and those given honorable mention for those fellowships by the National Science Foundation, data about graduate school departments from the National Research Council's Data-Based Assessment of Research-Doctorate Programs in the United States, and individual-level data drawn from publicly available curriculum vitae and resumes to examines a series of antecedents and outcomes that help define success among emerging S&E scholars. The investigators will draw upon data collected by the NSF National Center for Science and Engineering Statistics (NCSES) in order to identify a crosswalk of a unique university-department identifier to facilitate the construction and analysis of two new datasets based on academic institutional research activity. This EAGER-supported project responded to a Dear College Letter issued by the NSF Science of Science and Innovation Policy (SciSIP) Program designed to facilitate the use of STAR METRICS, NCSES, and other databases in order to evaluate relationships among science funding, employment, and outcome metrics.