Collaborative Research: An Evidence-Based Approach Towards Technology Workforce Expansion by Increasing Female Participation in STEM Entrepreneurship

合作研究：通过增加女性对 STEM 创业的参与来扩大技术劳动力的循证方法

• 批准号: 2100017
• 负责人: Jonathan Eckhardt
• 金额: $ 98.35万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100017&HistoricalAwards=false
• 关键词: Collaborative; Research; Evidence; Based; Approach

This is a collaborative project, with the University of Wisconsin-Madison as the lead institution and the University of Maryland as the partnering institution, to explore the entrepreneurial proclivity of undergraduate women majoring in STEM fields. The researchers propose a multi-method approach led by an interdisciplinary team to (1) identify factors that influence entrepreneurial proclivity and (2) develop and test interventions related to closing gender disparities in STEM entrepreneurship. The research includes the analysis of a comprehensive administrative database to identify mechanisms for potential interventions and field experiments to achieve greater gender parity in entrepreneurial career choices for STEM students. Results of the field experiments will be integrated with the database to produce outcome measures. The project will produce empirical evidence to increase the understanding of student entrepreneurship and inform interventions that improve entrepreneurship participation for women in STEM.The researchers will frame the research design and methods using the Individual-Opportunity Nexus theory that knowledge is a precursor to entrepreneurship. There are four hypotheses: (1) Greater entrepreneurial proclivity will be found in women in STEM fields with higher curriculum diversity, who have taken at least one business class, who are enrolled in STEM courses with students with higher diversity in their courses, and who are enrolled in STEM courses with students who have taken one or more business classes. (2) Women STEM students demonstrate higher entrepreneurial proclivity when they are exposed to relatable role models in entrepreneurship. (3) Women STEM students demonstrate higher entrepreneurial proclivity when entrepreneurship is presented as a gender-neutral field. (4) Women STEM students demonstrate higher entrepreneurial proclivity when they are exposed to entrepreneurial success stories. The researchers will make causal inferences about factors that influence entrepreneurial proclivity of women in STEM by measuring self-reported activities, analyzing administrative data, and documenting student start-ups. The core of the project is based on data drawn from a data infrastructure that combines administrative data with results of an annual survey. The researchers will use those data to evaluate the mechanisms that influence the underrepresentation of women in entrepreneurship. They will augment the data infrastructure with a field experiment to test hypotheses informed by existing literature and findings from their data analysis. This project is co-supported by the EHR Core Research program that funds fundamental research on STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development and by the Science of Science BPINNOVATE program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这是一个合作项目，由威斯康星大学麦迪逊分校作为牵头机构，马里兰州大学作为合作机构，以探讨主修STEM领域的本科女生的创业倾向。研究人员提出了一种由跨学科团队领导的多方法方法，以（1）确定影响创业倾向的因素，（2）开发和测试与缩小STEM创业中的性别差异相关的干预措施。该研究包括分析全面的行政数据库，以确定潜在干预措施和现场实验的机制，以在STEM学生的创业职业选择中实现更大的性别平等。实地试验的结果将与数据库相结合，以产生成果措施。 该项目将产生经验证据，以增加对学生创业的理解，并为改善妇女在STEM中创业参与的干预措施提供信息。研究人员将使用个人-机会关系理论来构建研究设计和方法，该理论认为知识是创业的先导。 有四个假设：（1）在课程多样性较高的STEM领域，至少参加过一门商业课程的女性，与课程多样性较高的学生一起参加STEM课程的女性，以及与参加过一门或多门商业课程的学生一起参加STEM课程的女性，会发现更大的创业倾向。(2)当女性STEM学生接触到相关的创业榜样时，她们会表现出更高的创业倾向。(3)当创业作为一个性别中立的领域出现时，STEM女学生表现出更高的创业倾向。(4)女性STEM学生在接触创业成功故事时表现出更高的创业倾向。研究人员将通过测量自我报告的活动，分析行政数据和记录学生创业，对影响STEM女性创业倾向的因素进行因果推断。 该项目的核心是基于从数据基础设施中提取的数据，该数据基础设施将行政数据与年度调查结果相结合。研究人员将利用这些数据来评估影响女性创业代表性不足的机制。他们将通过实地实验来增强数据基础设施，以测试现有文献和数据分析结果所告知的假设。 该项目由EHR核心研究计划和科学BPINNOVATE计划共同支持，EHR核心研究计划资助STEM学习和学习环境的基础研究，扩大STEM领域的参与，以及STEM劳动力发展。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。