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
- 来源:
- 关键词:
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.
奖项摘要DMS-0931213JIA LIUNIVERISY在亨特维尔举行的第二次国际数学模型国际会议和人口分析生物系统中的人群分析支持美国的教职2009年。数学建模和分析可以使人们对生物种群的动力学有洞察力和更好的理解。事实证明,数学模型的理论和应用是为了提供逻辑结构,在该逻辑结构中综合知识,测试假设并对有关流行病学问题的生物学人群动态进行预测。模型为研究人员提供了在这些学科中研究日益复杂和重要的问题的动力和手段。这次会议的主题是流行病学和相关主题,特别是生物物种易感的疾病动态,人群中疾病的建立和传播及其控制和消除。数学模型建立在生物准确性和数学障碍性之间的权衡基础上。特别重要的是建模假设有关空间或时间异质性或人口中个体特征之间异质性的影响。会议主题将重点介绍适合于流行病研究的动态模型的推导和分析,并将解决各种理论和应用问题和案例研究,这些问题和案例研究说明了模型与数据的联系以及模型结果对公共卫生的影响。会议将使专家研究人员聚集在一起,以建立与研究范围和数学界数学的界面合作学的稳定基础,以在大型研究中建立良好的合作范围。五个杰出的研究人员将分别进行50分钟的全体谈话,该谈判将调查当前的方向并呈现流行建模的前沿。将有三个平行的会议,包括由受邀演讲者进行的30分钟的演讲。会议期间的正式和非正式讨论将导致各个小组和研究人员之间的协作增加。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,尤其是数学流行病学。 该小组将进一步讨论促进全国NSF-UBM计划促进数学和生物学课程整合的策略。对于研究生和本科生来说,这将是一个很好的机会,可以正式和非正式地与他们感兴趣的主题和问题与他们的领域领先当局进行讨论。
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
An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs—Final Report
自动驾驶汽车评估:交通影响和基础设施需求——最终报告
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
K. Kockelman;S. Boyles;P. Stone;Daniel J. Fagnant;Rahul Patel;M. Levin;Guni Sharon;M. Simoni;Michael Albert;Hagen Fritz;Rebecca Hutchinson;P. Bansal;Gleb B. Domnenko;P. Bujanovic;Bumsik Kim;Elham Pourrahmani;Sudesh Agrawal;Tianxin Li;Josiah P. Hanna;Aqshems Nichols;Jia Li - 通讯作者:
Jia Li
SimXRD-4M: Big Simulated X-ray Diffraction Data Accelerate the Crystalline Symmetry Classification
SimXRD-4M:大量模拟 X 射线衍射数据加速晶体对称性分类
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Bin Cao;Yang Liu;Zinan Zheng;Ruifeng Tan;Jia Li;Tong - 通讯作者:
Tong
The influence of rolling pressure on the changes in non-volatile compounds and sensory quality of congou black tea: The combination of metabolomics, E-tongue, and chromatic differences analyses.
- DOI:
10.1016/j.fochx.2023.100989 - 发表时间:
2023-12-30 - 期刊:
- 影响因子:6.1
- 作者:
Shan Zhang;Shimin Wu;Qinyan Yu;Xujiang Shan;Le Chen;Yuliang Deng;Jinjie Hua;Jiayi Zhu;Qinghua Zhou;Yongwen Jiang;Haibo Yuan;Jia Li - 通讯作者:
Jia Li
Robust Jump Regressions
鲁棒跳跃回归
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Jia Li;V. Todorov;George Tauchen - 通讯作者:
George Tauchen
We use these formulas and numerical simulations to examine the relative importance of di erent stages of infection and di erent chronic levels of virus to the spreading of the disease
我们使用这些公式和数值模拟来检查不同感染阶段和不同慢性病毒水平对疾病传播的相对重要性
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
J. Hyman;Jia Li;E. Stanley - 通讯作者:
E. Stanley
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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