REU Site: Multidisciplinary Training in Quantitative Methods

该项目由SBE董事会的本科生研究经验（REU）网站计划资助。除了整合研究和教育之外，它还具有科学和社会效益。西部华盛顿大学（WWU）的REU网站奖支持9名美国学生在三年计划期间的每一年进行为期10周的培训（共27名学生）。学生学习社会科学中的高级统计和人口统计培训，并将其培训应用于与国际合作伙伴合作产生的原始公共卫生研究项目。REU计划为本科生提供了一种体验，这种体验通常是他们在家乡机构无法获得的。鼓励主要来自本科院校和大学的学生以及代表性不足的群体申请。主要目标是在跨文化和多学科的学习环境中培养社会科学本科生的研究方法。这个REU网站帮助社会科学专业的学生学习良好科学的基本概念，发展数据管理技能，分析公共卫生数据，得出独立的结论，指导随后的队列，并通过同行评审过程分享他们的发现。这个REU网站还提供了一个独特的机会，为一个国家更大的关注健康，能力建设和经济发展贡献研究成果。 学生与来自西华盛顿大学的主要研究者，协作教师和学生同事一起分析从区域卫生中心收集的二级数据。通过IRB的批准，学生将学习如何使用高级定量回归技术对这些数据进行编码，清理和分析。学生返回WWU继续在合作实验室工作中开发研究成果，并准备将结果传播给专业学术受众。强化培训使学生能够从社会科学的角度为全球科学界的大数据工作做出贡献，并建立美国培养多元化和全球参与的科学家的能力。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 is funded from the Research Experiences for Undergraduates (REU) Sites program in the SBE Directorate. It has both scientific and societal benefits in addition to integrating research and education. This REU Site award to Western Washington University (WWU) supports the training of nine U.S. students over a 10-week program during each of the three years of program duration (27 total students). Students learn advanced statistical and demographic training in the social sciences and apply their training to original public health research projects generated in collaboration with international partners. The REU program provides an experience to undergraduate students that is typically not available to them at their home institutions. Students from primarily undergraduate colleges and universities and from underrepresented groups are encouraged to apply. The primary objective is to train social science undergraduates in research methodology in a cross-cultural and multi-disciplinary learning environment. This REU site helps social science students learn the basic concepts of good science, develop data management skills, analyze public health data, reach independent conclusions, mentor subsequent cohorts, and share their findings through the peer review process. This REU site also provides a unique opportunity to contribute research findings to a nation's larger focus on health, capacity building, and economic advancement. Students work with the Primary Investigators from Western Washington University, collaborative faculty, and student colleagues to analyze secondary data collected from regional health centers. With IRB approval, students learn how to code, clean, and analyze these data using advanced quantitative regression techniques. Students return to WWU to continue developing research findings in collaborative lab work and prepare results for dissemination to professional academic audiences. Intensive training allows students to contribute a social science perspective to Big Data efforts of the global scientific community and build U.S. capacity for cultivating diverse and globally engaged scientists.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.