Analytical Paleobiology Short Course

这个项目基本上是一个讲习班，为测试一项有价值的古生物学分析方法培训计划提供一年的资金。组委会将组织为期4周的培训计划，包括开发主题(例如，数据挖掘、空间分析)和古生物学的其他数据库资源(例如，新托马古生态数据库)。培训将向博士生开放。本课程将有多名讲师参与。课程材料将在网上免费提供。其目的是建立一个动态发展的培训倡议，在全球范围内吸引更广泛的古生物界参与。分析古生物学的研究生水平培训计划应该为研究生提供新的分析工具，并对该学科和其他学科产生持久的学术影响。本课程将使用R编程环境进行教学，但教师可能会根据需要引入其他语言。组委会将对这一首次努力进行评估，以决定这一努力是否应该继续下去，希望每年对博士生进行的深入培训将培养出一批精通分析的未来定量古生物学领导者，为该领域的未来发展做好准备。同样重要的是，培训将为近年来快速增长的地球科学网络基础设施培养终身贡献者(和用户)。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project is basically a workshop to provide one year of funding for testing a valuable training initiative for analytical methods in paleobiology. An organizing committee will organize a 4-week long training program to include developing topics (e.g., data mining, spatial analyses) and other database resources in paleobiology (e.g., Neotoma Paleoecology Database). The training will be open to Ph.D. students. Multiple instructors will participate in the course. Course materials will be made freely available online. The aim is to establish a dynamically evolving training initiative that globally engages the broader paleontological community. The graduate-level training program in analytical paleobiology should provide new analytical tools to graduate students and have a lasting intellectual impact on the discipline and beyond. The session will be taught using the R programming environment, though other languages may be introduced by instructors as appropriate. The organizing committee will assess this first effort to decide if this effort should continue, hoping that in-depth training of PhD students annually will produce analytically savvy cohorts of future leaders of quantitative paleobiology equipped to spearhead future developments in the field. As importantly, the training will produce life-long contributors (and users) of an earth science cyber-infrastructure that has been rapidly growing in recent years.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.