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Analytical Paleobiology Short Course

分析古生物学短期课程

基本信息

批准号：
1827603
负责人：
Michal Kowalewski
金额：
$ 2.98万
依托单位：
University of Florida
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-04-01 至 2020-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827603&HistoricalAwards=false
关键词：
Analytical Paleobiology Short Course

项目摘要

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.

该项目基本上是一个讲习班，提供一年的资金，用于测试古生物学分析方法的宝贵培训计划。组委会将组织一个为期4周的培训计划，包括发展主题（例如，数据挖掘、空间分析）和古生物学中的其它数据库资源（例如，Neotoma古生态学数据库）。培训将向博士开放。学生多名教师将参加该课程。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计划，在全球范围内参与更广泛的古生物学界。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，并对该学科及其他学科产生持久的智力影响。课程将使用R编程环境进行教学，尽管教师可能会酌情介绍其他语言。组委会将评估这第一次努力，以决定是否应该继续这一努力，希望每年对博士生的深入培训将培养出精通分析的定量古生物学未来领导者，以引领该领域的未来发展。同样重要的是，培训将产生终身贡献者（和用户）的地球科学网络基础设施，近年来一直在迅速增长。这一奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。