REU Site: Distributed REU in the Mathematical Biosciences

REU 站点：数学生物科学中的分布式 REU

• 批准号: 1461163
• 负责人: Janet Best
• 金额: $ 45万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1461163&HistoricalAwards=false
• 关键词: REU; Site; Distributed; Mathematical; Biosciences

The goal of this project is to establish a multi-institution research experience for undergraduate students (REU) in the mathematical biosciences, facilitated by the Mathematical Biosciences Institute (MBI) at The Ohio State University. The objectives of the program are: (1) to introduce undergraduate students at all levels to the field of mathematical biology; (2) to encourage students to pursue graduate study in the mathematical biosciences; and (3) to increase the number of students who enter the workforce with training in this field. Students will work on applying mathematics and statistics to research in areas such as molecular evolution, neuronal patterns, cancer modeling, epidemic models and vaccination strategies, and models of sensory systems, such as vision and smell. The infrastructure provided by the MBI gives the necessary resources to accomplish these goals by providing both an authentic research experience as well as exposure to the field of mathematical biology broadly.The program consists of three components. The first is a week-long Overview of Mathematical Biosciences, which consists of lectures by experts in the field, laboratory tours and field trips, and computer exercises using the Matlab software. This is held at the MBI in Columbus, OH annually in the second week of June. Following completion of the one-week overview session, the students will travel to one of MBI's Institute Partners to participate in an 8-week mentored research experience at the host institution. Finally, the participants will join other students doing research in the mathematical biosciences and present their results at a Capstone Conference hosted by the MBI. Throughout the program, a cohort will be maintained by weekly virtual seminars and discussions among participating institutions. They will work in pairs under the guidance of one or more mentors to make genuine research contributions in these areas, often leading to publications in peer-reviewed journals and presentations at conferences. The student participants will develop skills needed to continue work in these areas and to pursue graduate study. Their involvement in this research will expand the group of students trained to work in the field of mathematical biology.

该项目的目标是建立一个多机构的研究经验，为本科生（REU）在数学生物科学，由数学生物科学研究所（MBI）在俄亥俄州州立大学促进。该计划的目标是：（1）介绍各级本科生数学生物学领域;（2）鼓励学生攻读数学生物科学研究生课程;（3）增加谁进入劳动力与培训在这一领域的学生人数。学生将致力于将数学和统计学应用于分子进化，神经元模式，癌症建模，流行病模型和疫苗接种策略以及视觉和嗅觉等感觉系统模型等领域的研究。MBI提供的基础设施提供了必要的资源，通过提供真实的研究经验以及广泛接触数学生物学领域来实现这些目标。该计划由三个部分组成。第一个是为期一周的数学生物科学概述，包括该领域专家的讲座，实验室图尔斯和实地考察，以及使用Matlab软件的计算机练习。这是在MBI在哥伦布，俄亥俄州每年六月的第二个星期举行。在完成为期一周的概述课程后，学生将前往MBI的研究所合作伙伴之一，在主办机构参加为期8周的指导研究体验。最后，参与者将加入其他学生在数学生物科学的研究，并在由MBI主办的顶点会议上展示他们的成果。在整个计划中，将通过每周虚拟研讨会和参与机构之间的讨论来维持一个队列。 他们将在一个或多个导师的指导下成对工作，在这些领域做出真正的研究贡献，通常会在同行评审的期刊上发表文章，并在会议上发表演讲。学生参与者将开发所需的技能，继续在这些领域的工作，并追求研究生学习。他们参与这项研究将扩大学生群体的培训工作在数学生物学领域。