Interdisciplinary Modeling for Aquatic Ecosystems Curriculum Development Workshop, Granlibakken Conference Center at Lake Tahoe July 17-22, 2005

该奖项支持研究生水平课程的发展，其总体目标是参与水生生态系统建模的跨学科话语。 研讨会的成功实施将产生可通过互联网网站作为集合分发的材料，以便希望在任何高等教育机构教授这门课程的教师将有背景材料和推荐的课程。 跨学科模拟是管理和理解水生态系统的一种有效途径，但成功地实施跨学科模拟面临着几个障碍，包括（1）不同学科所关注的时空尺度不同，（2）数据和模型的不确定性程度不同，（3）不同学科之间的差异，（4）不同学科之间的差异，（5）不同学科之间的差异。（3）缺乏对跨学科意义上的建模选项的认识;（4）学科之间的沟通困难，不同的术语和观点可能会妨碍讨论共同的问题或关注点;（5）科学家和建模者需要接受跨学科方法的教育和培训。 本课程将为学生提供有关不同学科水生生态系统模型可用性的增强知识，这些模型如何共同应用于解决水生生态系统问题，以及在跨学科团队中工作的经验，以应用跨学科建模方法来增加对水生生态系统的了解。 然后，这些学生将更好地为专业或学术生涯做好准备，在这些职业中，他们与其他学科的同行进行互动，以解决现实世界的水生生态系统问题。

This award supports development of a graduate level course with an overall objective of engaging interdisciplinary discourse in modeling aquatic ecosystems. The successful workshop implementation will result in materials that can be distributed as a collection via an internet website so that instructors who wish to teach this course at any institution for higher learning will have background materials and a recommended curriculum. Interdisciplinary modeling is a useful approach for managing and understanding aquatic ecosystems, but there are several impediments to the implementation of successful interdisciplinary modeling of aquatic ecosystems, including (1) different spatial and temporal scales that specific disciplines are concerned with; (2) differences in degrees of uncertainty of data and models; (3) lack of awareness of what modeling options are available in an interdisciplinary sense; (4) difficulties in communication between disciplines, where different terminology and perspectives can get in the way of discussing common issues or concerns; and (5) scientists and modelers need to be educated and trained about interdisciplinary approaches. The course will provide students with enhanced knowledge about the availability of models for aquatic ecosystems in different disciplines, how such models might be applied together to address aquatic ecosystem issues, and the experience of working in interdisciplinary teams to apply interdisciplinary modeling approaches to increase knowledge about aquatic ecosystems. These students will then be better-prepared for professional or academic careers in which they interact with peers from other disciplines to address real-world aquatic ecosystem issues.