The Sixth International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems

第六届生物系统群体数学建模与分析国际会议

• 批准号: 1743497
• 负责人: Jim Cushing
• 金额: $ 1.8万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743497&HistoricalAwards=false
• 关键词: Sixth; International; Conference; Mathematical; Modeling

The Sixth International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems will take place at the University of Arizona, Tucson, AZ, on October 20-22, 2017. This project support the participation of students (undergraduate and graduate) and early career participants (junior faculty and post-doc fellows) in the conference. This conference will bring together researchers in the mathematical and biological sciences to share their latest findings in the use of mathematical models to study problems arising in population, ecological, and evolutionary dynamics, with a focus on the effects of environmental change. The participants will range from internationally recognized senior researchers to early career researchers and students (postdoctoral, graduate and undergraduate). Participants will hear the latest research and findings from their colleagues and have opportunities to present their own research, in both formal and informal settings. During the two and one half days of the conference, there will be five plenary talks by senior researchers and approximate 80 other invited and contributed talks by other participants, including early career participants. It will be a time to establish new collaborations and to refresh established collaborations. The broad theme of the conference is the analysis of mathematical models for the temporal dynamics of biological populations. A special emphasis will be placed on the effects of environmental/climate change. Specific topics include: population and ecological dynamics; adaptation and evolutionary dynamics; dynamics of infectious diseases and epidemics; dispersal and distribution of populations; invasions and endangered species; management of natural resources. Mathematical models play a central role in population biology where the contribute towards an understanding of the consequences of climate change and of actions that can be taken to mitigate deleterious effects, such as species extinction and loss of biological diversity, habitat disruption and species dispersal, threatened managed systems of renewable natural resources, spread of infectious diseases, evolution of pathogen drug immunity. For this effort to be effective, modelers and biologists need to work in close collaborations. A major contribution of the conference will be to provide a venue for such interdisciplinary collaboration. The PI will invite participants whose research involves model derivation, the mathematical analysis of models, the use of model simulations, and interfacing models with data and observations. The plenary speakers will be encouraged to reach a broader audience, to give surveys of the current state of the research in their field of study, and to suggest new directions of research. The conference website is https://math.la.asu.edu/~icma2017/index.html

2017年10月20日至22日，将在亚利桑那州亚利桑那州图森大学举行的第六次数学建模国际会议和人口分析会议。该项目支持学生（本科生和研究生）和早期职业参与者（初级教职员工和多克斯研究员）参加会议。这次会议将在数学和生物科学领域汇集研究人员，分享他们在使用数学模型来研究人群，生态和进化动力学问题的最新发现，重点是环境变化的影响。参与者的范围从国际认可的高级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）。参与者将听取同事的最新研究和发现，并有机会在正式和非正式环境中介绍自己的研究。在会议的两天半期间，高级研究人员将进行五次全体会谈，并将大约80个其他参与者（包括早期职业参与者）的其他参与者邀请并贡献了会谈。现在是建立新的合作并刷新建立合作的时候了。 会议的广泛主题是对生物种群时间动态的数学模型的分析。特别重点将放在环境/气候变化的影响上。具体主题包括：种群和生态动态；适应性和进化动力学；传染病和流行病的动态；人口的分散和分布；入侵和濒危物种；自然资源管理。数学模型在人群生物学中起着核心作用，在这种生物学中，有助于理解气候变化的后果以及可以采取有害影响的行动，例如物种灭绝和生物学多样性的灭绝和丧失，栖息地破坏和物种分散，威胁性的可再生自然资源托管系统，可再生自然资源的托管系统，感染性疾病的传播，传播性疾病的传播，进化的患者免疫力。为了使这项努力有效，建模者和生物学家需要在密切合作中进行工作。会议的主要贡献是为这种跨学科合作提供场地。 PI将邀请参与者的研究参与者，其研究涉及模型推导，模型的数学分析，模型模拟的使用以及将模型与数据和观测值进行接口。将鼓励全体演讲者吸引更广泛的受众，对研究领域的研究状态进行调查，并提出新的研究方向。会议网站是https://math.la.asu.edu/~icma2017/index.html