REU Sites: Summer Program Advancing Techniques in the Applied Learning of Statistics (SPATIAL-Stats)

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。夏季计划推进技术在统计学的应用学习（SPATIAL-Stats）在美国大学，在华盛顿，DC是一个为期8周的夏季研究经验的本科生（REU）计划主办6名学生在统计学和应用数学的研究问题合作工作。该计划旨在提高本科生的数学和统计理解水平，并让他们参与创造性活动，从而使他们保持在数学和统计管道。学生将学习如何进行出版的科学研究，以及如何有效地沟通数学和统计研究，以广大观众。该计划的重点是使数学科学多样化，以允许不同的观点和经验，以帮助解决世界问题。具体而言，该计划旨在通过加强学生的数学基础来解决代表性不足的数学和统计科学家的短缺问题，以实现STEM领域的更高愿望。研究目标将首先通过为学生提供为期3周的统计和数学领域的密集讲座来实现，重点是计算机技能和理论基础。 然后，学生将花费该计划的剩余时间积极参与三个项目之一的研究，其中包括Riordan Arrays，随机行走和树木，以及空间相关性对经验可能性的影响。学生将继续在暑期课程结束后得到指导，以支持他们在全国会议上的工作介绍以及提交同行评审的期刊文章。学生还将参加网络活动，以满足全国各地的领先研究人员。 该计划将与暑期研究与学习计划（SPIRAL）一起运行，这些学生将一起参加当地研究机构和行业的实地考察，以发现数学和统计研究的应用。参加SPATIAL-Stats的学生将与其他不同种族/民族背景的学生互动，以了解STEM卓越和多样性的重要性。该奖项反映了NSF的法定使命，并被认为值得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来支持。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). The Summer Program Advancing Techniques in the Applied Learning of Statistics (SPATIAL-Stats) at American University, in Washington, DC is an 8-week summer Research Experience for Undergraduates (REU) program hosting 6 students to work collaboratively on research problems in statistics and applied mathematics. The program is designed to raise the level of mathematical and statistical understanding for undergraduate students and engage them in creative activities, thereby keeping them in the mathematics and statistics pipeline. Students will learn how to conduct scientific research for publication and how to effectively communicate mathematics and statistics research to a general audience. The program focuses on diversifying the mathematical sciences to allow for different views and experiences to help solve world problems. Specifically, the program aims to address the shortage of underrepresented mathematical and statistical scientists by strengthening students’ mathematical foundations to enable higher aspirations in STEM fields. The research goal will be accomplished first by providing students with intensive 3-week lectures in the fields of statistics and mathematics, focusing on both computer skills as well as theoretical foundations. The students will then spend the remainder of the program actively engaged in research on one of three projects which cover topics including Riordan Arrays, random walks and trees, and the effects of spatial correlation on empirical likelihood. Students will continue to be mentored after the conclusion of the summer program to support the presentation of their work at national conferences as well as submission of a peer-reviewed journal article. Students will also participate in networking activities to meet leading researchers across the country. The program will run in conjunction with the Summer Program in Research and Learning (SPIRAL), and together these students will participate in field trips to local research agencies and industry to discover applications of mathematical and statistical research. Students participating in SPATIAL-Stats will interact with other students with different racial/ethnic backgrounds with the intention of understanding the importance of excellence and diversity in STEM.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.