Postdoctoral Research Fellowship in Interdisciplinary Informations for FY 2003

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）。 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。信息学博士后研究和培训将使在生物学、数学、化学和物理科学方面受过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“结合20世纪数据和21世纪统计工具来解释植物物种的长期共存。“虽然理论上说，占主导地位的竞争对手应该使所有其他物种灭绝，但自然植物群落包含许多物种。 本研究通过将上世纪收集的长期、空间上明确的数据与新的统计技术相结合，构建了群落动态的数学模型，以确定允许物种共存的策略。

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). It is expected that the Fellows trained through these fellowships will play an important role in training the future workforce. Postdoctoral research and 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 "Combining 20th century data and 21st century statistical tools to explain the long-term coexistence of plant species." While theory states that the dominant competitor should drive all other species extinct, natural plant communities contain many species. This research constructs mathematical models of community dynamics by combining long-term, spatially explicit data collected in the last century with novel statistical techniques to identify strategies that allow species to coexist.