Seventh International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems (ICMA-VII)

第七届生物系统群体数学建模与分析国际会议（ICMA-VII）

• 批准号: 1917512
• 负责人: Abba Gumel
• 金额: $ 2.42万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1917512&HistoricalAwards=false
• 关键词: Seventh; International; Conference; Mathematical; Modeling

This project will support students (undergraduate and graduate) and early-career (junior faculty and post-doctoral fellows) participating in the Seventh International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems (ICMA VII), scheduled at Arizona State University, Tempe, USA, October 12-14, 2019. This conference will bring together researchers in the mathematical and biological sciences to share their latest research findings on the use of mathematical modeling and analysis to study problems arising in population biology and the life sciences, with emphasis on the fast-growing and challenging area of models in molecular and synthetic biology. The participants will range from internationally recognized established researchers to early career researchers and students (postdoctoral, graduate and undergraduate). The conference will include five plenary lectures given by selected researchers and approximately eighty invited or contributed talks by others, including early career participants. This conference will provide an opportunity for participants to establish new connections and energize established collaborations. Twenty students and early-career participants will be with an emphasis on women and members of underrepresented groups.The broad theme of the conference is the formulation, validation, analysis and simulation of mathematical models for gaining insight into the spatiotemporal dynamics of biological populations. Specific topics include: fundamentals of molecular biology, mathematical immunology, genetic-epidemiology models, stoichiometric population models, mathematical oncology, mathematics of gene editing, and dynamics of multi-host-vector-pathogen systems. Mathematical modelling and analysis, coupled with novel mathematical and statistical techniques in data analytics, play a central role in providing realistic insight into the dynamics of real-life phenomena arising in the life sciences in general and molecular and synthetic biology in particular. In addition to allowing for the design and implementation of effective strategies for ensuring the persistence or extinction of some species (such as using gene editing to control the population abundance of malaria mosquitoes), molecular approaches potentially promote the development of new therapies for effectively combatting many human ailments, creating a need for population models which account for molecular techniques. For this effort to be effective, modelers and biologists need to build new collaborations, and a goal of the conference is to promote such interdisciplinary connections. The meeting will include participants whose research involves model derivation, mathematical and computational analysis of models and interfacing models with data and observations. The plenary speakers will be encouraged to reach a broad audience, surveying the current state of research in their field of study and suggesting new directions. More details may be found at the conference website: https://math.asu.edu/icma-2019.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将支持学生（本科生和研究生）和早期职业（初级教师和博士后研究员）参加第七届国际生物体系数学建模和人口分析（ICMA VII）（ICMA VII）（ICMA VII），计划在美国亚利桑那州立大学（Arizona State），美国坦普（Tempe），2019年10月12日至14日将其汇总为数学研究。使用数学建模和分析来研究人群生物学和生命科学中引起的问题，重点是分子和合成生物学模型的快速增长和挑战性领域。参与者的范围从国际认可的知名研究人员到早期职业研究人员和学生（博士后，研究生和本科生）。该会议将包括选定研究人员的五次全体讲座，以及大约八十次受到邀请或其他人的会谈，包括早期职业参与者。这次会议将为参与者提供一个建立新的联系并激发既定合作的机会。二十名学生和早期职业参与者将重点关注妇女和代表性不足的群体的成员。会议的广泛主题是对数学模型的制定，验证，分析和模拟，以深入了解生物种群的时空动态。具体主题包括：分子生物学，数学免疫学，遗传性 - 病学模型，化学计量人群模型，数学肿瘤学，基因编辑数学以及多主官员 - 载体 - 培养基系统的动力学。数学建模和分析，再加上数据分析中的新数学和统计技术，在提供对现实生活现象的动力学的现实见解中起着核心作用。 除了允许设计和实施有效的策略以确保某些物种的持久性或灭绝（例如使用基因编辑来控制疟疾蚊子的种群丰富度）外，分子方法可能会促进新疗法的开发，以开发有效地打击人群模型的人群模型，从而构成人群模型，从而占据了人类模型。为了使这项努力有效，建模者和生物学家需要建立新的合作，而会议的目标是促进这种跨学科的联系。会议将包括参与者，其研究涉及模型推导，数学和计算分析以及与数据和观察的接口模型。将鼓励全体演讲者吸引广泛的受众，调查其研究领域的当前研究状态并提出新的方向。可以在会议网站上找到更多详细信息：https：//math.asu.edu/icma-2019.这项奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估。