Postdoctoral Research Fellowship in Interdisciplinary Informatics for FY 2003

2003财年跨学科信息学博士后研究奖学金

• 批准号: 0306036
• 负责人: Brian McGill
• 金额: $ 10万
• 依托单位: McGill, Brian J
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0306036&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Interdisciplinary; Informatics

Postdoctoral Research Fellowships in Interdisciplinary Informatics are sponsored jointly by the Directorates for Mathematical and Physical Sciences (MPS) and Biological Sciences (BIO) to encourage research and training that cross the traditional disciplinary boundaries between them. These fellowships provide opportunities for interdisciplinary research and educational activities in biology and informatics to a wide range of recent doctoral recipients (biologists, chemists, physicists, mathematicians, statisticians, computer scientists, and others) who seek to conduct research on biological questions using informatics tools and methods. It is expected that the Fellows trained through these fellowships will play an important role in training the future workforce. Postdoctoral training in informatics will permit junior scientists trained in biology, mathematical, chemical, and physical sciences to play key roles in developing new quantitative tools and methods that will advance informatics in biology and other fields. The research and training plan is entitled "Exploring how the growth of populations changes across the range of a species." This project explores the variation in population dynamics across a species range, using ecoinformatics tools (e.g. spatial statistics, GIS and fitting nonlinear dynamical systems) applied to the Breeding Bird Survey. The research further explores systematic spatial variation in the growth rate, spatio-temporal autocorrelation in the noise, and connections to climate and dispersal.

跨学科信息学博士后研究奖学金由数学和物理科学（MPS）和生物科学（BIO）董事会联合赞助，以鼓励跨越传统学科界限的研究和培训。这些奖学金为生物学和信息学的跨学科研究和教育活动提供了机会，以广泛的近期博士学位获得者（生物学家，化学家，物理学家，数学家，统计学家，计算机科学家等），他们寻求使用信息学工具和方法对生物学问题进行研究。 预计通过这些研究金培训的研究员将在培训未来的工作人员方面发挥重要作用。信息学博士后培训将允许接受生物学，数学，化学和物理科学培训的初级科学家在开发新的定量工具和方法方面发挥关键作用，这些工具和方法将推动生物学和其他领域的信息学。 研究和培训计划的标题是“探索种群增长如何在一个物种的范围内变化。“这个项目探讨了种群动态在物种范围内的变化，使用生态信息学工具（例如空间统计，地理信息系统和拟合非线性动力系统）应用于繁殖鸟类调查。该研究进一步探讨了增长率的系统空间变化，噪声的时空自相关性以及与气候和扩散的联系。