UBM-Institutional: Interdisciplinary Training and Research for Undergraduates in Biological and Mathematical/Statistical Sciences at UMBC

UBM-机构：UMBC 生物和数学/统计科学本科生的跨学科培训和研究

• 批准号: 1031420
• 负责人: Jeffery Leips
• 金额: $ 70万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1031420&HistoricalAwards=false
• 关键词: UBM; Institutional; Interdisciplinary; Training; Research

Researchers from the Department of Biological Sciences and the Department of Mathematics and Statistics at the University of Maryland Baltimore County (UMBC) will create an interdisciplinary program in biological mathematics and statistics. A key element of this program will be undergraduate students from each department working in teams under the supervision of a pair of faculty from each department to apply modern mathematical and statistical approaches to significant biological problems. The proposed research will use model and non-model organisms to investigate questions from a wide range of disciplines in biology, including physiology, cell biology, genetics, and evolution. The proposed research will require development and application of modern mathematical and statistical approaches to address questions in each research area and subsequent testing of these models in experiments. In addition, the principal investigators propose to fortify the connections between Mathematics, Statistics and Biology for all undergraduate students in these departments by revising the current curriculum to improve interdisciplinary education in existing courses and developing new courses in biomathematics and biostatistics. The principal investigators will also host faculty development workshops designed to allow current faculty to integrate more quantitative applications into core courses in the Biology major and to provide faculty in the Mathematics and Statistics Department with compelling biological problems to challenge students in their core courses. The proposed program will provide high quality interdisciplinary research training to 40 undergraduate researchers, creating a synergistic research environment for students and faculty. In addition, the proposed curriculum development, combined with faculty development and establishment of a new minor in Quantitative Biology will provide cross-disciplinary education for all undergraduates majoring in Biology, Mathematics and Statistics. Thus, students graduating from these programs will be well suited to carry out modern biological research that increasingly requires greater sophistication of quantitative approaches to enhance our understanding of biological systems.

马里兰州巴尔的摩县（UMBC）的生物科学系以及数学与统计系的研究人员将创建一个生物学数学和统计学的跨学科计划。该计划的一个关键要素是来自每个部门的本科生在每个部门的一对教职员工的监督下，将现代数学和统计方法应用于重大的生物学问题。拟议的研究将使用模型和非模型生物来研究生物学，细胞生物学，遗传学和进化等生​​物学广泛学科的问题。 拟议的研究将需要开发和应用现代数学和统计方法，以解决每个研究领域中的问题，并在实验中对这些模型进行随后的测试。此外，首席研究人员建议通过修订当前的课程，以改善现有课程的跨学科教育并开发生物护理学和生物统计学的新课程，以加强这些系中所有本科生的数学，统计和生物学之间的联系。 首席研究人员还将举办教师发展研讨会，旨在允许现任教师将更多的定量应用程序整合到生物学专业的核心课程中，并为数学和统计部门的教师提供令人信服的生物学问题，以在其核心课程中挑战学生。 拟议的计划将为40名本科研究人员提供高质量的跨学科研究培训，为学生和教职员工创造协同的研究环境。 此外，拟议的课程开发，结合​​教师的发展和建立新的定量生物学辅修课程，将为所有在生物学，数学和统计学领域主修的本科生提供跨学科教育。 因此，从这些计划中毕业的学生将非常适合进行现代生物学研究，越来越多地需要对定量方法进行更多的精致，以增强我们对生物系统的理解。