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的能力，建立计算机科学，工程和相关的科学/数学卓越的劳动力，通过一个融合的，跨学科的，知识渊博的团队，拥有必要的金融知识基础的贡献。本次研讨会将召集学术界，工业界和政府的联盟，以寻求了解学生的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未来的劳动力。这项活动将导致学生在考虑金融选项，如过度的学生贷款债务通过该项目的毕业生金融选项框架的动机的理解。 该联盟的投入将使人们进一步了解代表性不足的人口，这些人口与他们的同行相比债务过多，以及它如何影响他们加入和参与美国STEM劳动力的决定。 虽然已经举办了几次讲习班，讨论如何扩大代表性不足的人口对计算机和信息科学及工程的参与，但尚未举办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。拟议活动的智力价值是为支持毕业生财务选择框架而调查的模型。研讨会将有助于了解和理解计算机科学和工程以及相关融合数据科学领域代表性不足的学生未来的职业选择如何受到过度学生贷款债务等先决条件的负面影响。 支持研究，影响招聘，保留和进入劳动力的代表性不足的学生这个研讨会的更广泛的影响是显着的。 我们预计，来自历史上黑人学院和大学以及西班牙裔服务机构的代表性不足的少数民族学生群体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上参与研讨会，以促进计算机和信息科学和工程领域的广度。 通过这项研究解决这一重要课题，该项目将支持和提供关于如何增加美国的创新，卓越和进步的代表性不足的少数民族学生对美国科学，技术，工程，数学（STEM）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进行评估，被认为值得支持和更广泛的影响审查标准。

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.