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.

该项目的目的是在俄亥俄州立大学的数学生物科学研究所（MBI）促进数学生物科学学院（MBI）中为本科生（REU）建立多机构研究经验。该计划的目标是：（1）将各个级别的本科生介绍给数学生物学领域； （2）鼓励学生从事数学生物科学的研究生学习； （3）增加在该领域培训的学生人数。学生将努力将数学和统计数据应用于分子进化，神经元模式，癌症模型，流行病模型和疫苗接种策略以及感觉系统（例如视力和气味）的模型等领域的研究。 MBI提供的基础设施提供了必要的资源来实现这些目标，通过提供真实的研究经验以及对数学生物学领域的曝光，该程序由三个组成部分组成。第一个是为期一周的数学生物科学概述，该概述由现场专家，实验室旅行和实地考察的讲座以及使用MATLAB软件进行计算机练习组成。这是在六月的第二周在俄亥俄州哥伦布的MBI举行。在完成为期一周的概述会议之后，学生将前往MBI的一名研究所合作伙伴，参加东道国机构的为期8周的指导研究经验。最后，参与者将加入其他从事数学生物科学研究的学生，并在MBI主持的一场顶峰会议上介绍他们的结果。在整个计划中，每周的虚拟研讨会和参与机构之间的讨论将保持一致。 他们将在一位或多个导师的指导下成对工作，以在这些领域做出真正的研究贡献，通常会导致在会议上进行同行评审期刊和演讲的出版物。学生参与者将发展在这些领域继续工作并从事研究生学习所需的技能。他们参与这项研究将扩大受过培训的学生在数学生物学领域工作的群体。