Viral Paradigms: Molecules, Populations, Ecosystems and Infectious Disease

该奖项将帮助支持2008年1月在佐治亚理工学院举办的一次研讨会，该研讨会的目标是显着改变定量病毒建模的格局。科学家们将讨论和开发新的理论和计算工具，以在从噬菌体到人类病原体的病毒动力学研究中连接多个时空尺度。疾病生态学和进化论的交叉是一个新兴的研究领域，到目前为止，这个领域主要发生在独立的领域。人们越来越认识到，生态动态可能会受到同一时间尺度上发生的病毒进化的强烈影响。更好地了解病毒生态和进化可能会导致对传染病的更好理解和控制。感兴趣的具体生物学主题领域包括：(1)病毒动力学的宿主内模型；(2)病毒开发的限制；(3)免疫流行病学；(4)通过(元)基因组学进行的病毒推断；(5)噬菌体的生态学和进化；以及(6)多尺度视角：从模型到数据。受邀的演讲者代表了实验生物学、数学生物学、计算机科学、物理和数学领域的领军人物--他们中的大多数人都有很长的病毒式研究记录。初级科学家也将参加讲习班，以确保新观点的能见度，并促进对研究生和博士后学者的培训。

This award will help support a workshop at the Georgia Institute of Technology in January 2008 whose objective is to dramatically alter the landscape of quantitative viral modeling. Scientists will discuss and develop new theoretical and computational tools to bridge multiple spatiotemporal scales in the study of viral dynamics from phage to human pathogens. The intersection of disease ecology and evolution is an emerging field of study, one that until now has occurred in mostly seperate realms. Appreciation has been growing that ecological dynamics can be strongly influenced by viral evolution occurring on the same time scale. A better understanding of viral ecology and evolution may lead to better understanding and control of infectious diseases. The specific biological topic areas of interest include: (i) within-host models of viral dynamics; (ii) constraints of viral exploitation; (iii) immunoepidemiology; (iv) viral inferences via (meta)genomics; (v) ecology and evolution of bacteriophages; and (vi) multi-scale perspectives: from models to data. Invited speakers represent leaders in the fields of experimental biology, mathematical biology, computer science, physics, and mathematics-most of whom have a long track record of viral research. Also participating in the workshop will be junior scientists so as to ensure the visibility of new views and to facilitate the training of graduate students and post-doctoral scholars.