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

2018 NSF-CBMS 数学生物学会议：霍华德大学建模与分析

• 批准号: 1743144
• 负责人: Abdul-Aziz Yakubu
• 金额: $ 3.5万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743144&HistoricalAwards=false
• 关键词: 2018; NSF; CBMS; Conference; Mathematical

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.

该国家科学基金会奖支持 2018 年 NSF - CBMS 会议，主题为“数学生物学：建模与分析”，由霍华德大学于 2018 年 5 月 21 日至 25 日在华盛顿特区主办。该会议将由俄亥俄州杰出大学教授 Avner Friedman 主持州立大学首席讲师。通过一系列十场讲座，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、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建模的更先进和当前的研究主题，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得到八位受邀演讲者的支持，他们将讨论数学生物学模型及其分析。将举行三个小组讨论，主题是（1）如何吸引本科生学习数学生物学，（2）如何培养数学生物学博士生，以及（3）数学生物学的未来方向。此外，杜克大学迈克尔·里德教授还将举办一场关于生物学界和医学界观点的会议宴会讲座。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收益，需要对其进行专业化，在特定背景和人群中测试假设，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，由俄亥俄州立大学弗里德曼教授主持，将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提出有趣的生物学研究问题，以及如何使用数学。这些模型将根据动力系统来制定。会议网站为http://humathbio.weebly.com/nsf-cbms-conference.html。