Pan-American Advanced Studies Institute on Cells to Ecosystems: Frontiers in Collaborative Quantitative Physics-Based Multiscale Modeling of Complex Biological Processes

这个泛美高级研究所（PASI）奖，由美国国家科学基金会和能源部（DOE）联合支持，将于2013年7月在巴西南里奥格兰德州阿莱格雷波尔图的联邦大学（UFRGS）举行。 由James A.位于布卢明顿的印第安纳州大学物理系的Glazier博士说，该研究所将重点研究目前用于模拟当代生物学中生物现象的许多关键数学方法。 组织和器官的发育和功能依赖于复杂的相互作用网络，这些相互作用发生在从单个蛋白质到组织网络的多种尺度上。 PASI将聚集来自各种建模学科的领先研究人员，通过讲座和计算机实验室教授他们的方法，并促进参与者之间的跨学科合作，以解决关键的生物学问题。 PASI参与者将包括实验生物学家，计算生物学家和数学生物学家在高级本科生，研究生和研究生水平。本PASI将向学生介绍上述科目中的许多重要技术。 除了让年轻科学家接触和指导最先进的方法外，该活动还将促进来自美国和美洲不同国家的研究人员之间的国际合作。 PASI的结果，包括演示和视频，将通过网站和其他媒体传播，作为对生物建模感兴趣的学生和研究人员的资源。

This Pan-American Advanced Studies Institutes (PASI) award, jointly supported by the NSF and the Department of Energy (DOE), will take place in July, 2013 at the Universidade Federal do Rio Grande do Sul (UFRGS) in Porto Alegre, Rio Grande do Sul, Brazil. Organized by Dr. James A. Glazier of the Physics Department at Indiana University in Bloomington, the institute will focus on many of the key mathematical approaches currently used in modeling biological phenomena in contemporary biology. The development and function of tissues and organs rely on a complex web of interactions that occur on a multitude of scales ranging from individual proteins to tissue networks. The PASI will gather leading researchers from a variety of modeling disciplines to teach their methodologies through lectures and computer laboratories, and to promote interdisciplinary collaborations among participants in order to address key biological problems. PASI participants will include experimental biologists, computational biologists, and mathematical biologists at the advanced undergraduate, graduate and post-graduate levels. This PASI will introduce students to many important techniques in the above subjects. In addition to the exposure and mentoring of young scientists to state-of-the-art methods, the activity will foster international collaboration among researchers from the US and different countries in the Americas. The results from the PASI, including presentations and videos, will be disseminated through a website and other media to serve as a resource for students and researchers interested in biological modeling.