A linked and Enhanced SDR for Modeling Scientific Workforce Dynamics

用于科学劳动力动态建模的链接和增强型 SDR

• 批准号: 8531966
• 负责人: Michael Dean Larsen
• 金额: $ 24.78万
• 依托单位: GEORGE WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-03 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8531966
• 关键词: Address; Affect; Area; Award; Characteristics; Child; Clinical; Computer Simulation; Data; Data Sources; Databases; Decision Making; Economics; Engineering; Event; Foundations; Future; Goals; Grant; Health; Individual; Internet; Intervention; Lead; Left; Lifting; Linear Regressions; Link; Logistic Regressions; Longitudinal Surveys; Methodology; Methods; Minority; Modeling; Police; Policies; Population; Principal Investigator; Productivity; Public Health; Research; Research Personnel; Resources; Respondent; Role; Sampling; Schools; Science; Source; Statistical Models; Surveys; System; Time; United States; United States National Institutes of Health; Weight; Woman; Work; career; design; experience; improved; insight; interest; novel; programs; public health relevance; public health research; theories

DESCRIPTION (provided by applicant): In the U.S., women are severely underrepresented in many academic and nonacademic career areas of science and engineering (S&E). This is a serious problem because women and minorities form a significant portion of the potential scientific workforce and maintaining a strong and vibrant scientific workforce is critical to economic and scientific progress. To understand the factors affecting participation of women and minorities in S&E careers one needs data. One also needs data in order to formulate and evaluate policies seeking to increase representation of women and minorities at all levels of S&E careers. The principal goal of this proposal is to use existing sources of information in novel ways to address key questions about the S&E workforce. The proposed study has four specific aims that are essential steps toward achieving the principal goal of using existing sources of information in novel ways to address key questions about the S&E workforce. Underlying the four aims will be a computational model of the dynamics of the scientific workforce. First, the NSF's Survey of Doctorate Recipients will be linked over time and enhanced with time varying covariate variables from several additional sources of information. Second, we will calculate longitudinal survey sampling weights for the purposes of using the database for inference concerning factors affecting key transitions in scientific careers. Third, the database will be used to estimate parameters in computational models of the dynamics of the scientific workforce in the U.S. The merged database will be unique in its composition and usefulness for assessing primary hypotheses about the experiences of women and minorities in the scientific workforce. Fourth, plans will be studied for incorporating additional data sources and for designing focused surveys related to key hypotheses.. The methods and products of this research will yield unique insights and be a key building block for future studies of polices and lifting interventions that aim to encourage the participation of women and minorities in the scientific workforce. Successful policies that lead to increased sustainability and productivity in science, engineering, and health careers are anticipated to have significant, positive impacts on science research, public health, and the economy.

描述（由申请人提供）：在美国，女性在许多领域的代表性严重不足。 科学与工程 (S&E) 的学术和非学术职业领域。这是一个严重的问题 因为妇女和少数族裔构成了潜在科学劳动力的重要组成部分，保持一支强大而充满活力的科学劳动力对于经济和科学进步至关重要。要了解影响女性和少数族裔参与科学与工程职业的因素，需要数据。人们还需要数据来制定和评估旨在增加妇女和少数族裔在科学与工程职业各级的代表性的政策。该提案的主要目标是以新颖的方式利用现有信息源来解决有关科学与工程劳动力的关键问题。拟议的研究有四个具体目标，这些目标是实现以新颖的方式利用现有信息源来解决有关科学与工程劳动力的关键问题的主要目标的重要步骤。这四个目标的基础是科学劳动力动态的计算模型。首先，美国国家科学基金会的博士学位获得者调查将随着时间的推移而联系起来，并随着来自几个额外信息来源的随时间变化的协变量而得到增强。其次，我们将计算纵向调查抽样权重，以便使用数据库推断影响科学职业关键转变的因素。第三，该数据库将用于估计美国科学劳动力动态计算模型中的参数。合并后的数据库在其组成和评估有关科学劳动力中女性和少数族裔经历的主要假设方面将是独一无二的。四是研究整合方案 额外的数据源，并用于设计与关键假设相关的重点调查。这项研究的方法和产品将产生独特的见解，并成为未来政策研究和旨在鼓励妇女和少数族裔参与科学劳动力的干预措施的关键组成部分。能够提高科学、工程和卫生事业的可持续性和生产力的成功政策预计将对科学研究、公共卫生和经济产生重大、积极的影响。