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

这一国家科学基金会奖支持2018年5月21日至25日在华盛顿特区由霍华德大学主办的2018年NSF-CBMS会议，主题为“数学生物学：建模与分析”。会议将由俄亥俄州立大学的杰出大学教授Avner Friedman担任首席讲师。通过十场系列讲座，弗里德曼教授将向与会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、恒化器、捕食者-猎物和趋化性等主题。随后将介绍由偏微分方程模拟的更高级和最新的研究主题，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特邀演讲者支持，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)如何吸引本科生进入数学生物学，(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，杜克大学的Michael Reed教授还将举办一场关于生物学和医学界观点的会议宴会讲座。数学模型和分析为描述和研究复杂生物系统的集成行为提供了独特的方法，使我们能够比较和对比现有的复杂系统中动态相互作用的理论。为了从数学模型和分析中获得最大收益，人们需要对它们进行专门化，在特定环境和总体中测试假设，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地区会议将与俄亥俄州立大学的弗里德曼教授一起向与会者介绍生物学的基本概念和知识，并通过实例演示如何制定有趣的生物学研究问题，以及如何使用数学解决这些问题。这些模型将以动力系统的形式表述。会议的网站是：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.