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

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:
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
项目状态:
已结题
起止时间:
2017-09-01 至 2018-08-31

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中文摘要
翻译
第六届生物系统种群数学建模和分析国际会议将于2017年10月20日至22日在亚利桑那大学图森分校举行。该项目支持学生(本科生和研究生)和早期职业参与者(初级教师和博士后研究员)参加会议。本次会议将汇集数学和生物科学的研究人员,分享他们在使用数学模型研究人口,生态和进化动力学中出现的问题方面的最新发现,重点是环境变化的影响。参与者将从国际公认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)。与会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场合介绍自己的研究。在为期两天半的会议期间,高级研究人员将举行五次全体会议,其他与会者(包括早期职业参与者)将邀请和贡献约80次会议。这将是一个建立新的合作和更新现有合作的时刻。 会议的广泛主题是分析生物种群时间动态的数学模型。将特别强调环境/气候变化的影响。具体专题包括:人口和生态动态;适应和进化动态;传染病和流行病的动态;人口的扩散和分布;入侵和濒危物种;自然资源的管理。数学模型在种群生物学中发挥着核心作用,有助于了解气候变化的后果以及为减轻有害影响而可以采取的行动,例如物种灭绝和生物多样性丧失,栖息地破坏和物种扩散,可再生自然资源的受威胁管理系统,传染病的传播,病原体药物免疫力的演变。为了使这一努力有效,建模者和生物学家需要密切合作。会议的一个主要贡献将是为这种跨学科合作提供一个场所。PI将邀请参与者,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模型与数据和观测的接口。将鼓励全体发言者接触更广泛的听众,对各自研究领域的研究现状进行调查,并提出新的研究方向。会议网址为https://math.la.asu.edu/~icma2017/index.html
英文摘要
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
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会议论文
Collaborative Research: Climate Change, Cannibalism, and Reproductive Synchrony: The Effect of Food Shortages on Life History Strategies of Marine Organisms
  • 批准号:
    1407564
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2014
  • 负责人:
    Jim Cushing
  • 依托单位:
The Dynamics and Evolution of Semelparity
  • 批准号:
    0917435
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2009
  • 负责人:
    Jim Cushing
  • 依托单位:
Competitive coexistence and life cycle stages
  • 批准号:
    0414212
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.79万
  • 财政年份:
    2004
  • 负责人:
    Jim Cushing
  • 依托单位:
QEIB: Stochastic Nonlinear Population Dynamics: Mathematical Models, Biological Experiments, and Data Analyses
  • 批准号:
    0210474
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2002
  • 负责人:
    Jim Cushing
  • 依托单位:
海外基金