Modeling the Impact of Science Policies on Scientific Workforce Growth

模拟科学政策对科学劳动力增长的影响

• 批准号: 8529568
• 负责人: Courtney David Corley
• 金额: $ 29.64万
• 依托单位: BATTELLE PACIFIC NORTHWEST LABORATORIES
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-19 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8529568
• 关键词: Academia; Achievement; Address; Affect; Area; Behavioral; Calibration; Collection; Consultations; Data; Dependency; Development; Education; Effectiveness; Engineering; Environment; Evaluation; Goals; Government; Growth; Income; Industry; Institution; Intervention; Investments; Judgment; Knowledge; Laboratories; Leadership; Maintenance; Marketing; Measures; Methods; Modeling; Occupations; Outcome; Output; Play; Policies; Population; Research; Research Personnel; Role; Science; Science Policy; Simulate; Solutions; Structure; System; Techniques; Technology; Testing; Underrepresented Minority; United States National Institutes of Health; Visual; Work; cohort; design; evidence base; federal policy; innovation; new growth; programs; social; socioeconomics; tool

DESCRIPTION (provided by applicant): The development of a strong, talented, diverse, innovative and stable scientific workforce is critical for the U.S. to maintain global leadership and competitiveness in science and technology. The achievement of such a goal requires a clear understanding of how science and innovation policies by federal, state and local constituencies including government, academia and industry impact on the creation and growth of the U.S. scientific workforce. Our goal is to develop an evidence-based model of how science and innovation policies affect the scientific workforce to help policymakers and other stakeholders design and test interventions that are more effective in promoting sustainable growth of jobs in science and engineering. More specifically, the model will evaluate how research and educational investments by sponsoring institutions have favored or inhibited the growth of the scientific workforce within the last 10 years. We will concentrate on the biomedical field. We will achieve the proposed through the following four specific aims. Specific aim 1: Develop a Knowledge Encapsulation Framework to enable the collection, analysis, vetting and dissemination of evidence and subject matter expertise relevant to (1) the biomedical workforce, and (2) policies and investments in research and education within the biomedical area. Specific aim 2: Use evidence and subject matter expertise relevant to the scientific workforce, science and innovation policies, and investments in the biomedical field to develop, calibrate and evaluate a dynamic evidence-based model of population change in the scientific workforce. Specific aim 3: Develop an analytical gaming environment in which subject matter experts, analysts and policymakers interact through role-playing to evaluate plausible scenarios emerging from simulated dependencies generated by the model developed in specific aim 2. Specific aim 4: Evaluate the effectiveness of the model and game developed in specific aims 2-3 as a proactive reasoning tool against historical data and subject matter experts' judgments.

一个强大的，有才华的，多样化的，创新的和稳定的科学劳动力的发展是至关重要的美国保持全球领导地位和竞争力的科学和技术。实现这一目标需要清楚地了解联邦、州和地方选区（包括政府、学术界和工业界）的科学和创新政策如何影响美国科学劳动力的创造和增长。我们的目标是开发一个基于证据的模型，说明科学和创新政策如何影响科学劳动力，以帮助政策制定者和其他利益相关者设计和测试更有效地促进科学和工程就业可持续增长的干预措施。更具体地说，该模型将评估赞助机构的研究和教育投资如何在过去10年中促进或抑制科学劳动力的增长。我们将专注于生物医学领域。我们将通过以下四个具体目标实现拟议目标。具体目标1：开发知识封装框架，以收集、分析、审查和传播与（1）生物医学劳动力和（2）生物医学领域研究和教育的政策和投资相关的证据和主题专业知识。具体目标2：利用与科学劳动力，科学和创新政策以及生物医学领域投资相关的证据和主题专业知识，开发，校准和评估科学劳动力人口变化的动态循证模型。具体目标3：开发一个分析游戏环境，主题专家，分析师和政策制定者通过角色扮演进行互动，以评估由具体目标2中开发的模型生成的模拟依赖关系中出现的合理情景。具体目标4：根据历史数据和主题专家的判断，评估特定目标2-3中开发的模型和游戏作为主动推理工具的有效性。