The Second International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems; October 2009; Huntsville, Alabama

第二届生物系统群体数学建模与分析国际会议;

基本信息

  • 批准号:
    0931213
  • 负责人:
  • 金额:
    $ 2.18万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-10-01 至 2010-09-30
  • 项目状态:
    已结题

项目摘要

Award Abstract DMS-0931213Jia LiUniversity of Alabama in HuntsvilleThe Second International Conference on Mathematical Modeling and Analysis of Populations in Biological SystemsThis award supports the participation of U.S. based faculty, particularly junior faculty, and graduate students in the Second International Conference on Mathematical Modeling and Analysis of Populations in Biological Systems, held at the University of Alabama in Huntsville, Alabama, during October 9-11, 2009.Mathematical modeling and analysis can give insight and better understanding into the dynamics of biological populations. The theory and application of mathematical models have proved useful for the purpose of providing a logical structure within which to synthesize knowledge, test assumptions, and make predictions about the dynamics of biological populations with regard to epidemiological problems. Models have provided the impetus and means for researchers to study increasingly complex and important questions in these disciplines. The main theme of this conference will be epidemiology and related topics, specifically, the dynamics of diseases to which biological species are susceptible, the establishment and spread of diseases within populations and their control and elimination. Mathematical models are built on trade-offs between biological accuracy and mathematical tractability. Of particular importance are the effects of modeling assumptions concerning spatial or temporal heterogeneities or concerning heterogeneities among the characteristics of individuals within the population. The conference theme will focus on the derivation and analysis of dynamic models appropriate for the study of epidemics and will address a wide variety of theoretical and applied problems and case studies that illustrate the connection of models with data, and the impact of the modeling results on the public health.The conference will bring together expert researchers for the purpose of establishing a solid basis for contacts and interdisciplinary collaboration among researchers in mathematical biology at large and mathematical epidemiology in particular. Five distinguished researchers will each give a 50-minute plenary talk that will survey current directions and present frontiers of epidemic modeling. There will be three parallel sessions consisting of 30-minute talks given by invited speakers. The formal and informal discussions during the conference will result in the increase of collaboration among various groups and researchers. A panel discussion, moderated by the principal investigators, will discuss new directions and open problems in the field of Mathematical Biology, in particular, of Mathematical Epidemiology. The panel will further discuss strategies to promote the integration of mathematics and biology curricula as promoted by NSF-UBM programs across the country. For the graduate and undergraduate students, this will be a great opportunity to meet leading authorities in the field and discuss with them, formally and informally, topics and questions in which they are interested.
DMS-0931213李佳亚拉巴马大学亨茨维尔分校第二届生物系统种群数学建模与分析国际会议该奖项支持美国教师,特别是初级教师和研究生参加在亚拉巴马亨茨维尔的亚拉巴马大学举行的第二届生物系统种群数学建模与分析国际会议。数学建模和分析可以使人们更好地了解生物种群的动态。数学模型的理论和应用已经证明是有用的,它提供了一个逻辑结构,在这个逻辑结构内综合知识,检验假设,并就流行病学问题对生物种群的动态作出预测。模型为研究人员研究这些学科中日益复杂和重要的问题提供了动力和手段。本次会议的主题是流行病学和相关主题,具体而言,生物物种易受影响的疾病的动态,疾病在人群中的建立和传播及其控制和消除。数学模型是建立在生物准确性和数学易处理性之间的权衡之上的。特别重要的是关于空间或时间异质性或关于人口中的个体特征之间的异质性的建模假设的影响。会议主题将侧重于推导和分析适用于流行病研究的动态模型,并将解决各种各样的理论和应用问题以及案例研究,说明模型与数据的联系,以及建模结果对公共卫生的影响。会议将汇集专家研究人员,为建立联系和跨学科的坚实基础。数学生物学研究人员之间的合作,特别是数学流行病学。五位杰出的研究人员将分别进行50分钟的全体会议,讨论流行病建模的当前方向和前沿。将有三个平行的会议,包括30分钟的演讲,由特邀演讲者。会议期间的正式和非正式讨论将增加各团体和研究人员之间的合作。由主要研究人员主持的小组讨论将讨论数学生物学领域的新方向和开放问题,特别是数学流行病学。 该小组将进一步讨论战略,以促进数学和生物课程的整合,促进全国各地的NSF-UBM计划。对于研究生和本科生,这将是一个很好的机会,以满足在该领域的领导权威,并与他们讨论,正式和非正式,主题和他们感兴趣的问题。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Jia Li其他文献

Reconstruction of Intrinsic Thermal Parameters of Methane Hydrate and Thermal Contact Resistance by Freestanding 3 ω Method
采用独立式 3 ω 法重建甲烷水合物的本征热参数和接触热阻
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Jia Li;Zhao;G. Yao
  • 通讯作者:
    G. Yao
Improving catalytic efficiency via tailoring macroscopic elasticity of nanoporous materials
通过调整纳米多孔材料的宏观弹性来提高催化效率
  • DOI:
    10.1007/s10853-022-07147-2
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Fusheng Tan;Lei Zhao;Bin Liu;Qihong Fang;Jia Li
  • 通讯作者:
    Jia Li
Esaa: An Eeg-Speech Auditory Attention Detection Database
Esaa:脑电图语音听觉注意力检测数据库
University of Southern Denmark Effects of directional hearing aid processing and motivation on EEG responses to continuous noisy speech Neher,
南丹麦大学定向助听器处理和动机对脑电图对连续噪声语音反应的影响Neher,
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peiwen Li;Enze Su;Jia Li;Siqi Cai;Longhan Xie;Haizhou Li
  • 通讯作者:
    Haizhou Li
Uniform Nonparametric Series Inference for Dependent Data with an Application to the Search and Matching Model
相关数据的统一非参数级数推断及其在搜索和匹配模型中的应用

Jia Li的其他文献

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{{ truncateString('Jia Li', 18)}}的其他基金

RII Track-4:NSF: Resistively-Detected Electron Spin Resonance in Multilayer Graphene
RII Track-4:NSF:多层石墨烯中电阻检测的电子自旋共振
  • 批准号:
    2327206
  • 财政年份:
    2024
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
CAREER: studying superconductivity and ferromagnetism in 2D material heterostructures with flat energy band
职业:研究具有平坦能带的二维材料异质结构中的超导性和铁磁性
  • 批准号:
    2143384
  • 财政年份:
    2022
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Continuing Grant
CIF: Small: Interpretable Machine Learning based on Deep Neural Networks: A Source Coding Perspective
CIF:小:基于深度神经网络的可解释机器学习:源编码视角
  • 批准号:
    2205004
  • 财政年份:
    2022
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Cluster Analysis for High-Dimensional and Multi-Source Data
高维多源数据聚类分析
  • 批准号:
    2013905
  • 财政年份:
    2020
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
EAGER-DynamicData: Generative Statistical Modeling for Dynamic and Distributed Data
EAGER-DynamicData:动态和分布式数据的生成统计建模
  • 批准号:
    1462230
  • 财政年份:
    2015
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Statistical Learning for Image Annotation
图像标注的统计学习
  • 批准号:
    1521092
  • 财政年份:
    2015
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Parametric and nonparametric regressions on spot volatility
现货波动率的参数和非参数回归
  • 批准号:
    1326819
  • 财政年份:
    2013
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Estimation and Inference Methods for Continuous-Time Models
连续时间模型的估计和推理方法
  • 批准号:
    1227448
  • 财政年份:
    2012
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Modeling of Mosquitoes Carrying Transgenes or Genetically Modified Bacteria in Preventing the Transmission of Mosquito-Borne Diseases
携带转基因或转基因细菌的蚊子模型以预防蚊媒疾病的传播
  • 批准号:
    1118150
  • 财政年份:
    2011
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant
Essential Roles of Receptor-Like Kinases in Brassinosteroid and Cell-Death Control Signaling Pathways
受体样激酶在油菜素类固醇和细胞死亡控制信号通路中的重要作用
  • 批准号:
    0849206
  • 财政年份:
    2009
  • 资助金额:
    $ 2.18万
  • 项目类别:
    Standard Grant

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