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

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）参加第七届生物系统种群数学建模和分析国际会议（ICMA VII），定于2019年10月12日至14日在美国滕佩亚利桑那州立大学举行。 本次会议将汇集数学和生物科学的研究人员，分享他们关于使用数学建模和分析来研究人口生物学和生命科学中出现的问题的最新研究成果，重点是分子和合成生物学模型的快速增长和挑战性领域。参与者将从国际公认的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）。会议将包括由选定的研究人员提供的五个全体讲座，以及由其他人（包括早期职业参与者）邀请或贡献的约80个讲座。本次会议将为与会者提供一个建立新的联系和加强现有合作的机会。20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成员。会议的广泛主题是数学模型的制定，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：分子生物学基础、数学免疫学、遗传流行病学模型、化学计量群体模型、数学肿瘤学、基因编辑数学和多宿主-载体-病原体系统动力学。数学建模和分析，再加上数据分析中的新型数学和统计技术，在提供对生命科学中出现的现实生活现象的动态的现实洞察方面发挥着核心作用，特别是分子和合成生物学。 除了允许设计和实施有效的策略以确保某些物种的持续存在或灭绝（例如使用基因编辑来控制疟疾蚊子的种群丰度）之外，分子方法还可能促进有效对抗许多人类疾病的新疗法的开发，从而需要考虑分子技术的种群模型。为了使这一努力有效，建模者和生物学家需要建立新的合作，会议的目标是促进这种跨学科的联系。会议将包括研究涉及模型推导、模型的数学和计算分析以及模型与数据和观测的接口的与会者。将鼓励全体会议的发言者面向广大听众，调查各自研究领域的研究现状，并提出新的方向。更多细节可以在会议网站上找到：https://math.asu.edu/icma-2019.This奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

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.