Postdoctoral Research Fellowship in Interdisciplinary Informatics 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）理事会联合赞助，以鼓励跨越它们之间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）寻求利用信息学工具和方法对生物学问题进行研究。预期通过这些研究金培训的研究员将在培训未来劳动力方面发挥重要作用。信息学的博士后培训将允许在生物学、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，这些工具和方法将推动生物学和其他领域的信息学。这项研究和训练计划的标题是“将行为变化与野生狐猴种群的长期种群动态联系起来”。本研究正在开发一种建模技术，将个体行为的短期适应性结果（使用动态规划）与长期种群动态（使用矩阵建模）联系起来。它利用从狐猴和白狐猴的野生种群中收集的数据和神经网络，将行为序列与种群动态结合起来，以解决保护问题。

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 "Linking variation in behavior to long-term population dynamics in a wild lemur population." This research is developing modeling techniques linking short-term fitness consequences of individual behaviors (using dynamic programming) with long-term population dynamics (using matrix modeling). It uses data collected on a wild population of lemur, the white sifaka, and neural networks to merge behavioral sequences with population dynamics, with a view toward conservation problems.