Collaborative Research: Enhancing Diversity in the Mathematics Graduate Applicant Pool

该项目将在德克萨斯大学达拉斯分校（UTD）和德克萨斯大学格兰德河谷分校（UTRGV）的数学科学单位之间建立伙伴关系。 UTD，坐落在一个正在经历蓬勃的经济增长的地区，是一所多元化的大学，在数学和统计学充满活力的博士课程。UTRGV是一所少数族裔服务机构（MSI），超过87%的西班牙裔学生位于人口增长的地区。UTRGV目前没有数学科学博士课程。UTRGV本科生所面临的挑战维斯追求博士课程是典型的MSI，包括学生在高级课程中缺乏准备，这是博士课程成功的先决条件，以及缺乏对数学科学和研究生入学过程中职业生涯的认识。格兰德河山谷缺乏专业实习机会，这对该地区的学生来说是一个具体的挑战。该项目旨在解决这些挑战，并开发一个可持续的和可扩展的管道准备充分的申请人，其中大多数人预计将来自代表性不足的群体，在数学科学博士课程。该项目合并了一些以证据为基础的技术，已知是有效的，在增加博士课程的代表性不足的群体的参与到一个连贯的程序。它利用两所大学在主动学习教学法方面的技术和经验，在同步，混合的环境中提供最先进的本科课程。将通过严格和全面的评估程序不断评价其活动。其具体目标是：开发五个最先进的本科数学科学课程的混合版本;进行夏季靴子营，以培养研究，解决问题和沟通技巧;促进UTRGV和UTD学生和达拉斯-沃斯堡地区的行业之间的联系;并帮助参与的教师和学生发展对内隐偏见的理解，并训练他们克服它。基金会的使命是履行其使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评价，被认为值得支持。

This project will establish a partnership between the mathematical sciences units at the University of Texas at Dallas (UTD) and the University of Texas Rio Grande Valley (UTRGV). UTD, situated in a region that is undergoing vigorous economic growth, is a diverse university with vibrant PhD programs in Mathematics and Statistics. UTRGV is a Minority Serving Institution (MSI), with over 87% Hispanic student body, located in a region experiencing population growth. UTRGV does not currently have a PhD program in Mathematical Sciences. The challenges faced by UTRGV undergraduate students vis-a-vis pursuing a doctoral program are typical of an MSI, including students' lack of preparation in advanced courses that are prerequisites for success in PhD programs and lack of awareness about careers in the Mathematical Sciences and graduate school admission process. A lack of professional internships in the Rio Grande Valley is a specific challenge for students from that area. This project addresses these challenges and develops a sustainable and scalable pipeline of well-prepared applicants, most of whom are expected to be from underrepresented groups, for PhD programs in the Mathematical Sciences.The project amalgamates a number of evidence-based techniques known to be effective in increasing participation of underrepresented groups in doctoral programs into one coherent program. It leverages the use of technology and experience at both universities in active learning pedagogy to offer the most advanced undergraduate courses in a synchronized, blended setting. Its activities will be continuously evaluated via a rigorous and comprehensive assessment process. Its specific aims are: to develop hybrid versions of five of the most advanced undergraduate Mathematical Sciences courses; to conduct summer boot camps to cultivate research, problem-solving, and communication skills; to facilitate connections between UTRGV and UTD students and industries in the Dallas-Fort Worth area; and to help participating faculty and students develop an understanding of implicit bias and train them to overcome it.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.