Collaborative Research: Workshop - BP in STEM, Computer Science and Engineering through improved Financial Literacy

这一合作研究奖支持我们国家通过拥有必要的金融知识基础的汇聚、跨学科和知识渊博的团队的贡献，建设计算机科学、工程和相关科学/数学工作人员的卓越能力。本次研讨会将召集一个由学术界、产业界和政府组成的联盟，寻求对学生金融知识和相关主题如何影响扩大计算机和信息科学以及工程未来劳动力参与度的理解。这项活动将通过该项目的研究生财务选择框架，了解学生考虑财务选择的动机，例如过高的学生贷款债务。来自该联盟的意见将使人们能够进一步了解那些被证明与其同行相比负债过高的代表不足的人群，以及这将如何影响他们加入和参与美国STEP劳动力市场的决定。虽然举办了几次讲习班，讨论扩大任职人数不足的人口对计算机和信息科学及工程的参与，但还没有专门的讲习班来解决由于缺乏金融知识而造成的进入劳动力市场的差距。拟议活动的智力优势是为支持毕业生财务选择框架而调查的模型。讲习班将有助于了解计算机科学和工程及相关融合数据科学领域中任职人数不足的学生未来的职业选择如何受到学生贷款过多等先决条件的不利影响。这个辅助性研究研讨会的广泛影响是显著的，它影响到招生、留住和进入就业大军的人数不足的学生。我们预计，来自历史上黑人学院和大学的少数族裔学生群体以及西班牙裔服务机构在计算机科学和相关融合领域(如计算神经科学、运筹学和数据科学)的副学士、学士、硕士和博士学位水平的研讨会将促进计算机和信息科学以及工程领域的广度。通过这项研究解决这一重要主题，该项目将支持并提供关于如何提高美国在创新、卓越和进步方面的作用的理解，这些未被充分代表的少数族裔学生对美国科学、技术、工程和数学(STEM)工作的贡献。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This collaborative research award supports our nation's capacity to build computer science, engineering and related scientific/mathematical workforce excellence through contribution of a convergent, interdisciplinary, and knowledgeable team that possesses the requisite financial literacy knowledge base. This workshop will convene a consortium of academia, industry, and government to seek understanding on how student financial literacy and related topics impact broadening participation in the computer and information sciences and engineering future workforce. This activity will result in understanding motivations of students in considering financial options such as excessive student loan debt through the project's graduate financial options framework. The input from this consortium will allow additional understanding on underrepresented populations which are shown to have excessive debt in comparison to their counterparts and how it impacts their decisions to join and participate in the U.S. STEM workforce. While a few workshops have been held to discuss broadening participation of underrepresented populations in computer and information sciences and engineering, there has not yet been a dedicated workshop to address the gaps in entering the workforce as caused by lack of financial literacy. The intellectual merit of the proposed activity are the models investigated to support the graduate financial options framework. The workshop sessions will serve to inform and provide understanding on how future career choices of students from underrepresented populations in computer science and engineering and related convergent data science fields are negatively impacted by preconditions such as excessive student loan debt. The broader impact of this workshop of supporting research that impacts recruitment, retention, and entry into the workforce of underrepresented students is significant. We expect workshop involvement of underrepresented minority student populations from Historically Black Colleges and Universities and Hispanic Serving Institutions at the associate, bachelor, masters and doctoral degree levels in computer science and related convergent fields such as computational neuroscience, operations research, and data science to promote the breadth of computer and information sciences and engineering field. By addressing this important topic through this research, this project will support and provide understanding on how to increase America's role for innovation, excellence, and advancement in the contributions of underrepresented minority students to the US science, technology, engineering, and mathematics (STEM) workforce.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.