S-STATSMODEL: Scholarships in Statistics and Stochastic Modeling

S-STATSMODEL（统计和随机建模奖学金）项目旨在增加在应用数学和统计系完成研究生学位的有学术天赋但经济困难的学生的数量。以需求为基础的奖学金每年颁发给三到四名学生，为期两年，否则这些学生将无法进入研究生院。智力优势：统计学和随机建模的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非常成功，特别是那些来自西班牙裔和拉丁裔等少数群体的学生。目前至少有50%的研究生来自经济困难群体，其中约60%来自少数族裔。该项目有助于增加具有统计和应用数学建模领域学位的高素质专业人员的数量。教师和学生所做的卓越的教学和研究是由几个事实证明的。首先，过去所有获得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，教职员工因其出色的教学和研究而获得奖项。更广泛的影响：该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，他们代表了统计和应用数学领域尚未开发的人才来源。这些学生带来的想法和观点是目前的专业人士无法很好地代表的。例如，属于少数群体、代表性不足或经济上处于不利地位的群体的统计学家可以帮助改进批判性研究的设计、分析和披露，并为与其原籍社区直接相关的科学研究提供可信度。

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.