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革之中，部分原因是数学科学与生物和生命科学思想的融合。加速这一融合是国家的目标，数学生物科学研究所（MBI）的作用是帮助这一加速。数学、统计学和计算科学的共同原理正在帮助科学理解神经科学、流行病学、生态学、基因组学、生理学和癌症等许多不同领域。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一个研讨会计划来支持这些互动，该计划汇集了数学和生命科学领域的跨学科研究人员。MBI有四个主要目标。(1)促进数学、统计和计算方法在解决生物科学重大问题中的应用创新。(2)促进由生命科学中的重要问题所激发的数学科学新领域的发展。(3)让数学和生物科学家参与这些研究。(4)通过教育、培训和对学生、博士后和研究人员的支持，扩大数学生物科学领域的学者群体。MBI将通过其广泛和分布的博士后项目来实现这些目标，该项目基于数学和生物科学研究人员的共同指导；通过其早期职业培训计划，使终身教职但未终身教职的研究人员能够长期参与MBI计划；通过其强大的跨学科研讨会计划；通过它的长期访客计划。