REU Site: Rice University Summer Institute of Statistics (RUSIS)

该奖项为莱斯大学统计系一个成功的为期10周的夏季REU网站提供持续支持，以研究统计学及其应用。随着国内数学科学研究生的数量持续下降，迫切需要发展人力资源，以继续支持美国在世界科学和技术领域的优势。莱斯大学夏季统计研究所（RUSIS）在鼓励学生攻读数学和统计学研究生学位方面取得了成功。在俄罗斯国立大学就读并毕业的学生中，大约85%现在是全国各地博士项目的博士生，其中大约61%是数学领域代表性不足的群体的成员。RUSIS通过强化课程、密切监督研究项目以及访问休斯顿的各种研究机构和机构来实现这一目标。具体而言，该项目通过概率、随机过程和统计推断的强化核心课程，特别强调当前感兴趣的领域，培训和指导17名（12名由国家科学基金会支持，5名由国家科学基金会支持）代表性不足的少数族裔学生和不易在其所在机构获得职业经验的学生，包括社区大学生。（如多重比较、极值理论、多元生存分析、复杂基础设施系统的风险-可靠性-可持续性、人工智能、统计学习、统计遗传学和一般生物统计学）。在与教师导师密切合作的情况下，让学生参与研究项目，并以联合出版为目标。学生们在全国会议上展示他们的成果，并在准备和演讲方面得到指导。此外，学生们还会与由顶尖科学家组成的顾问委员会会面，并向他们展示自己的研究成果。教授使用Unix平台、LaTeX和用于研究目的的软件（如Mathematica、Splus和/或R以及Matlab）的短期课程；组织学生和教师参观科学设施（例如，MD安德森癌症中心的生物数学和生物统计），并安排由杰出科学家举办的一系列讲座。这些讲座涵盖了各种各样的主题，从申请研究生院到杰出科学家的职业经历，以及对统计学前沿话题的讨论。在学生参与后的七年（预计完成研究生学业的时间）内，对学生的学习进度进行评估和监控；由参与的学生和外部咨询委员会对项目进行年度评估是该项目不可分割和有价值的一部分。

This award provides continued support for a successful 10-week summer REU site within the Statistics Department at Rice University for the study of Statistics and its applications. As the number of domestic graduate students in the Mathematical Sciences continues to decline, there is a critical need to develop human resources to continue supporting the United States' advantage in the world of science and technology. The Rice University Summer Institute of Statistics (RUSIS) has been successful in encouraging students to pursue graduate degrees in Mathematics and Statistics. Roughly 85% of the students who have attended RUSIS and have graduated, are now doctoral students in Ph.D. programs around the country, and roughly 61% of them are members of underrepresented populations in Mathematics. RUSIS has accomplished this through intensive courses, close supervision of research projects, and visits to various research institutes and agencies in Houston. Specifically, the program Trains and mentors 17 (12 NSF- and 5 NSA-supported) selected underrepresented minority students and students with no easy access to a career experience at their institution, including community college students, through intensive core courses in probability, stochastic processes, and statistical inference, with special emphasis on areas of current interest. (e.g. multiple comparisons, extreme value theory, multivariate survival analysis, risk-reliability-sustainability of complex infrastructure systems, artificial intelligence, statistical learning, statistical genetics, and general biostatistics). Engages the students in research projects under close collaboration with faculty mentors, and with the objective of producing joint publications. Students present their results at national meetings and they are mentored in the preparation and presentation of their talks. In addition, students meet with an advisory committee composed of top scientists and present their work to them. Teaches short courses on the use of Unix platforms, LaTeX, and software to be utilized for research purposes such as Mathematica, Splus and/or R, and Matlab; Organizes student and faculty visits to scientific facilities (e.g., Biomathematics and Biostatistics at MD Anderson Cancer Center, NASA) and a series of lectures, by distinguished scientists, is scheduled. These lectures cover a variety of topics ranging from applying to Graduate School to career experiences by outstanding scientists, and discussion of cutting-edge topics in Statistics. Evaluates and monitors the progress of students for seven years (expected time for them to finish graduate school) after their participation; annual evaluation of the program by the participating students and an external advisory committee is an integral and valuable part of the program.