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

这个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融合、跨学科和知识渊博的团队的贡献，建立计算机科学、工程和相关科学/数学人才的能力。本次研讨会将召集学术界，工业界和政府的联盟，以寻求理解学生金融知识和相关主题如何影响扩大参与计算机和信息科学和工程的未来劳动力。这项活动将通过项目的毕业生财务选择框架，了解学生考虑财务选择的动机，例如过多的学生贷款债务。来自该联盟的投入将有助于进一步了解代表性不足的人群，这些人群与同行相比显示出过度负债，以及它如何影响他们加入和参与美国STEM劳动力的决定。虽然举办了一些讲习班，讨论扩大代表性不足的人口参与计算机和信息科学与工程的问题，但还没有专门的讲习班来解决由于缺乏金融知识而导致的进入劳动力市场的差距。提出的活动的智力价值是模型调查，以支持毕业生财务选择框架。研讨会将提供信息和理解，来自计算机科学和工程及相关融合数据科学领域代表性不足人群的学生未来的职业选择如何受到过多学生贷款债务等先决条件的负面影响。本次研讨会支持的研究对未被充分代表的学生的招聘、保留和进入劳动力市场产生了更广泛的影响。我们希望研讨会能让来自传统黑人学院和大学以及西班牙裔服务机构的未被充分代表的少数族裔学生参与进来，这些学生在计算机科学和相关的融合领域（如计算神经科学、运筹学和数据科学）获得副学士、学士、硕士和博士学位，以促进计算机和信息科学和工程领域的广度。通过本研究解决这一重要课题，该项目将支持和理解如何提高美国在创新、卓越和进步方面的作用，使未被充分代表的少数族裔学生为美国科学、技术、工程和数学（STEM）劳动力做出贡献。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.