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，“数学生物学：建模和分析”，由霍华德大学在2018年5月21日至25日在华盛顿特区举办。会议将以俄亥俄州立大学的杰出大学教授Avner Friedman为特色。通过一系列的十个讲座，弗里德曼教授将向参与者介绍数学生物学快速增长的领域，从初步材料开始，以建模简单生物学过程，包括传染病，化学抗化剂，捕食者捕食者和趋化性等主题。随后将进行更先进和当前的研究主题，该主题由部分微分方程建模，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。 （1）将如何吸引本科生进入数学生物学，（2）如何在数学生物学上培训博士学位学生，以及（3）数学生物学的未来方向。此外，还将举行宴会宴会演讲，介绍杜克大学的迈克尔·里德（Michael Reed）教授的生物学和医疗社区的观点。数学模型和分析提供了代表和研究复杂生物系统综合行为的独特方法，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收益，需要对它们进行专业化，在特定上下文和人群中测试假设，收集本地数据以帮助定义关键参数并验证模型。霍华德大学（Howard University）与俄亥俄州立大学弗里德曼（Friedman）教授的NSF-CBMS区域会议将向参与者介绍基本概念和生物学知识，并通过示例演示如何提出有趣的生物学研究问题，以及如何使用数学方法来解决这些问题。这些模型将以动态系统的形式制定。会议网站位于http://humathbio.weebly.com/nsf-cbms-conference.html。