Collaborative Research: Pacific Alliance for Low-Income Inclusion in Statistics & Data Science

该项目将通过支持加州大学圣巴巴拉分校、加州大学欧文分校、华盛顿大学、加州州立大学东湾分校、加州州立大学蒙特雷湾分校、圣地亚哥州立大学和加州理工州立大学，圣路易斯奥比斯波。数据革命正在产生许多高薪的职业道路，并在统计数据科学领域造成严重的劳动力短缺。许多利润丰厚、数据丰富的职业都需要研究生学位，这对低收入学生来说可能是一个重大障碍。该项目将为大约115名学习统计和数据科学的低收入本科生提供奖学金支持，并为其中至少65名两年以上的研究生提供持续奖学金支持。学者们将受益于教师和同行指导，一个跨越所有七所参与学校的年度会议，以及对申请和准备研究生院的支持，包括一个毕业前的夏令营。 额外的学术支持包括一个小组指导阅读计划，共享课程，以建立社区内的学者队列，和本科生的研究机会。这个项目的总体目标是增加低收入，高成就的本科生与证明经济需要的STEM学位完成。其他项目目标和宗旨包括：（a）提供一个以小组为基础的方案，通过长达3年的奖学金为学生提供财政支持;（B）为学者提供学术和课外经验，旨在促进他们进入统计和数据科学职业;（c）提供干预措施，以加强学者的社区文化资本。项目研究将使用调查和访谈来研究三个主要主题：（a）相对空间和其他类型的社区如何发展和支持学者们朝着他们的目标前进;（B）学者们的社区文化财富如何形成以及如何被发展的相对空间和社区所形成;以及（c）学生的低收入状况和其他身份如何影响关键的反空间和社区，并影响学者的选择和结果。 项目评价将对项目的所有方面提供形成性和总结性反馈，以支持有效地实现目标。该项目由NSF的科学，技术，工程和数学奖学金计划资助，该计划旨在增加低收入学术人才的数量，这些学生表现出经济需求，并获得STEM领域的学位。它还旨在改善未来STEM工作者的教育，并产生关于低收入学生的学术成功，保留，转移，毕业和学术/职业道路的知识。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。

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at the University of California - Santa Barbara, the University of California - Irvine, the University of Washington, California State University, East Bay, California State University, Monterey Bay, San Diego State University, and California Polytechnic State University, San Luis Obispo. The Data Revolution is generating numerous well-paid career paths, and creating a significant workforce shortage, in Statistics & Data Science. Graduate degrees are needed for many lucrative, data-rich careers, which can represent a significant barrier for low-income students. This project will provide scholarship support to approximately 115 talented, low-income undergraduate students studying statistics and data science and provide continued scholarship support for at least 65 of them over two years of graduate studies. Scholars will benefit from faculty and peer mentoring, an annual meeting that spans all seven participating schools, and support for applying to and preparing for graduate school, including a pre-grad summer bootcamp. Additional academic supports include a small-group directed reading program, shared coursework to build community within scholar cohorts, and undergraduate research opportunities.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Additional project goals and aims include: (a) to offer a cohort-based program that supports students financially via scholarships lasting up to 3 years; (b) provide scholars with academic and co-curricular experiences designed to facilitate placement into careers in statistics and data science; and (c) offer interventions to enhance scholars’ community cultural capital. Project research will use surveys and interviews to study three main themes: (a) how counterspaces and other kinds of community develop and support scholars’ progress towards their goals; (b) how scholars’ community cultural wealth shapes and is shaped by the counterspaces and communities that develop; and (c) how students’ low-income status and other identities impact key counterspaces and communities and influence scholars’ choices and outcomes. Project evaluation will provide formative and summative feedback on all aspects of the project to support efficient progress towards goals. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.