S-STATSMODEL: Scholarships in Statistics and Stochastic Modeling

S-统计与随机建模奖学金计划旨在增加在应用数学与统计系完成研究生学位的学业有天赋但经济困难的学生的数量。基于需要的奖学金每年颁发给三到四名学生，最多两年，否则他们将无法进入研究生院学习。智力优势：统计学和随机建模研究生课程是一个相对较新的课程，在学术上非常成功，在吸引和留住经济困难的学生方面也是如此，特别是那些来自拉美裔和拉丁裔等少数群体的学生。目前的研究生群体中至少有50%属于经济困难群体，其中约60%来自少数群体。该项目有助于增加在统计学和应用数学建模领域拥有学位的高素质专业人员的数量。几个事实证明了教职员工和学生在教学和研究方面所做的卓越工作。首先，所有过去获得SSM学位的研究生都非常成功地获得了公认的学术、政府或行业职位。此外，教职员工还因其出色的教学和研究而获奖。广泛的影响：这个项目吸引了来自少数群体的有学术天赋和经济困难的学生，这些学生在统计学和应用数学领域是一个很大程度上尚未开发的人才来源。这些学生带来的想法和观点并不是目前的专业人士所能很好地代表的。例如，属于少数群体、任职人数不足或经济困难群体的统计人员可以帮助改进关键研究的设计、分析和披露，并增强与其原籍社区直接相关的科学研究的可信度。

The S-STATSMODEL (Scholarships in Statistics and Stochastic Modeling) program is designed to increase the number of academically talented but financially disadvantaged students who complete graduate degrees in the Department of Applied Mathematics and Statistics. Need-based scholarships are awarded each year for up to two years to a cohort of three to four students who would otherwise be unable to attend graduate school. Intellectual merit: The graduate program in Statistics and Stochastic Modeling is a relatively new program that has been extremely successful academically and also in attracting and retaining financially disadvantaged students, particularly those from minority groups such as Hispanics and Latinos. At least 50% of the current graduate student body belongs to financially disadvantaged groups, and about 60% of these students are from minority groups. This project contributes to increasing the number of highly qualified professionals with degrees in the areas of Statistics and Applied Mathematical Modeling. The excellence of the teaching and research done by the faculty and students is evidenced by several facts. First, all of the graduate students who have received SSM degrees in the past have been very successful in securing well recognized academic, government or industry positions. In addition, faculty members have received awards for their excellent teaching and research.Broader impacts: This project attracts academically talented and financially disadvantaged students from minority groups that represent a largely untapped source of talent in the areas of Statistics and Applied Mathematics. Such students bring ideas and perspectives that are not well represented by the current population of professionals. For example, statisticians belonging to minority, underrepresented or financially disadvantaged groups can help improve the design, analysis and disclosure of critical research, as well as lend credibility to scientific studies that directly relate to their communities of origin.