Rocky Mountain Summer School 2012: Mathematical Modeling in Ecology and Epidemiology

“2012落基山脉暑期学校：生态学和流行病学中的数学建模”将于2012年6月11日至22日在拉勒米的怀俄明大学举行。这个暑期班汇集了来自生态学、流行病学和数学科学的不同背景的学生，并在生命科学和数学科学之间提供有重点的数学建模培训。通过课堂讲课、有指导的实践经验和独立的小组项目与一群顶尖科学家进行密切的日常互动，不仅使受训人员能够学习语言和基本技能，以便在关键新兴领域进行有效的跨学科交流和合作，而且还将使受训人员在一个日益跨学科的科学社区中独特地定位于推进他们的职业目标。这个暑期班还通过将数学、生命科学和怀俄明大学新的超级计算中心聚集在一起，加强了当地的互动。暑期班的目的是利用数学建模和定性分析，为生态学和流行病学的合作研究提供有效的培训。我们的目标是教育数学和统计学的学生，以解决生态学和流行病学中的重要问题，并教育生物学家为什么以及如何使用数学和统计技术和工具。数学和生物科学的学生将学习如何相互交流，使他们不仅准备好建立生态学和流行病学的模型，而且还将成为能够教别人如何跨越生物学和数学之间的界限的大使。也希望在这种紧张的学习环境中聚集在一起的学生将发展未来的合作。

The "Rocky Mountain Summer School 2012: Mathematical Modeling in Ecology and Epidemiology," will be held at the University of Wyoming in Laramie during June 11-22, 2012. This summer school brings together students from diverse backgrounds in ecology, epidemiology, and mathematical sciences, and provides focused training in mathematical modeling at the interface between life sciences and mathematical sciences. Close daily interactions with a group of leading scientists through class lectures, guided hands-on experience and independent group projects will not only enable trainees to learn the language and basic skills for effective cross-discipline communication and collaboration in critical emerging fields, but will also uniquely position trainees to advance their career goals in an increasingly interdisciplinary scientific community. This summer school also enhances local interactions by bringing together mathematics, life sciences, and the new supercomputing center at the University of Wyoming. The purpose of the summer school is to provide effective training for collaborative research in ecology and epidemiology using mathematical modeling and qualitative analysis. Our goal is to educate students of mathematics and statistics to address issues of great importance in ecology and epidemiology, and to educate biologists as to why and how mathematical and statistical techniques and tools are useful. Students in the mathematical and biological sciences will learn how to communicate with one another, preparing them not only to build models in ecology and epidemiology, but also to be ambassadors capable of teaching others how to cross the boundaries between biology and mathematics. It is also hoped that students brought together in this intense learning environment will develop future collaborations.