2018 NSF-CBMS Conference on Mathematical Biology: Modeling and Analysis at Howard University

该国家科学基金会奖支持由霍华德大学于2018年5月21日至25日在华盛顿特区主办的2018年NSF - CBMS“数学生物学：建模与分析”会议。会议将邀请俄亥俄州立大学的著名大学教授Avner Friedman担任首席讲师。通过一系列的十个讲座，弗里德曼教授将向参与者介绍快速发展的数学生物学领域，从简单生物过程建模的初步材料开始，包括传染病、趋化器、捕食者-猎物和趋化性等主题。随后将介绍更先进的和当前的研究课题，包括偏微分方程建模，包括癌症，血管疾病和自身免疫性疾病。弗里德曼教授的讲座将由八位受邀演讲者提供支持，他们将讨论数学生物学模型及其分析。将有三个小组讨论(1)如何吸引数学生物学的本科生，(2)如何培养数学生物学的博士生，以及(3)数学生物学的未来方向。此外，还将由杜克大学的Michael Reed教授就生物学和医学界的观点进行会议宴会演讲。数学模型和分析提供了独特的方法来表示和研究复杂生物系统的综合行为，使我们能够比较和对比复杂系统中动态相互作用的现有理论。为了从数学模型和分析中获得最大的好处，需要对它们进行专门化，在特定的环境和人群中测试假设，收集本地数据以帮助定义关键参数，并验证模型。在霍华德大学举行的NSF-CBMS区域会议上，俄亥俄州立大学的Friedman教授将向与会者介绍生物学的基本概念和知识，并举例说明如何提出有趣的生物学研究问题，以及如何使用数学来解决这些问题。这些模型将以动力系统的形式表述。会议的网址是http://humathbio.weebly.com/nsf-cbms-conference.html。

This National Science Foundation award supports the 2018 NSF - CBMS conference, on "Mathematical Biology: Modeling and Analysis," hosted by Howard University in Washington D.C. during May 21-25, 2018. The conference will feature Distinguished University Professor Avner Friedman of The Ohio State University as the Principal Lecturer. Through a series of ten lectures, Professor Friedman will introduce participants to the fast-growing field of mathematical biology beginning with preliminary material in modeling of simple biological processes, and including topics such as infectious diseases, chemostat, predator-prey, and chemotaxis. This will be followed by presentations of more advanced and current research topics modeled by partial differential equations, including cancer, vascular diseases, and autoimmune diseases. Professor Friedman's lectures will be supported by eight invited speakers who will discuss mathematical biology models and their analysis. There will be three panel discussions on (1) how to attract undergraduate students to mathematical biology, (2) how to train PhD students in mathematical biology, and (3) future directions in mathematical biology. In addition, there will be a conference banquet lecture on views from the biology and medical communities by Professor Michael Reed of Duke University. Mathematical models and analysis provide unique approaches to representing and studying the integrated behaviors of complex biological systems that enable us to compare and contrast existing theories of the dynamic interactions in a complex system. To get the maximum benefit out of mathematical models and analysis, one needs to specialize them, test assumptions in specific contexts and populations, gather local data to help define key parameters, and validate models. The NSF-CBMS Regional Conference at Howard University, with Professor Friedman of The Ohio State University, will introduce the participants to basic concepts and knowledge of biology, and demonstrate by examples how to formulate interesting biological research questions, and how to address these questions using mathematics. The models will be formulated in terms of dynamical systems. The conference website is at http://humathbio.weebly.com/nsf-cbms-conference.html.