Mathematical Biosciences Institute

数学生物科学研究所

• 批准号: 1440386
• 负责人: Janet Best
• 金额: $ 819.2万
• 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: 2015-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440386&HistoricalAwards=false
• 关键词: Mathematical; Biosciences; Institute

Modern biology is in the midst of profound change, owing in part to the convergence of ideas from the mathematical sciences with those in the biological and life sciences. It is a national goal to accelerate this convergence and it is the role of the Mathematical Biosciences Institute (MBI) to help with this acceleration. Common principles in mathematics, statistics, and computational science are helping scientific understanding in fields as diverse as neuroscience, epidemiology, ecology, genomics, physiology, and cancer, among many others. MBI supports these interactions through robust postdoctoral fellow and early career research and training programs and through a workshop program that brings together interdisciplinary researchers in the mathematical and life sciences.MBI has four principal goals. (1) To foster innovation in the application of mathematical, statistical, and computational methods in the resolution of significant problems in the biosciences. (2) To foster the development of new areas in the mathematical sciences motivated by important questions in the biosciences. (3) To engage mathematical and biological scientists in these pursuits. (4) To expand the community of scholars in mathematical biosciences through education, training, and support of students, postdoctoral fellows, and researchers. MBI will achieve these goals through its extensive and distributed postdoctoral fellow program based on co-mentoring by researchers in both the mathematical and biological sciences; through its early career training program that enables tenure-track but untenured researchers to participate in MBI programming for an extended period; through its robust interdisciplinary workshop programs; and through its long-term visitor program.

现代生物学正处于深刻的变化之中，部分原因是数学科学与生物学和生命科学中的思想的融合。 这是加速这种融合的国家目标，这是数学生物科学研究所（MBI）的作用来帮助这种加速。 数学，统计学和计算科学中的常见原则正在帮助像神经科学，流行病学，生态学，基因组学，生理学和癌症等多样化的科学理解。 MBI通过强大的博士后研究员和早期职业研究和培训计划以及通过研讨会计划来支持这些互动，该计划将数学和生命科学领域的跨学科研究人员汇集在一起​​。 （1）在生物科学中重大问题的解决中，在数学，统计和计算方法的应用中促进创新。 （2）促进由生物科学中重要问题所激发的数学科学中新领域的发展。 （3）参与数学和生物科学家参与这些追求。 （4）通过学生，博士后研究员和研究人员的教育，培训和支持来扩展数学生物科学学者社区。 MBI将基于研究人员在数学和生物科学领域的同事，通过其广泛而分布的博士后同胞计划实现这些目标；通过其早期的职业培训计划，该计划使终身轨道但未知的研究人员能够长时间参与MBI编程；通过其强大的跨学科研讨会计划；并通过其长期访客计划。