Population Research Center

此应用程序是为宾夕法尼亚大学人口研究中心（PSC）的核心支持，该中心培养了 自1962年以来，人口研究和培训。PSC的特点是在其 生产高质量的研究，甚至作为自己的人口组成的研究 同事们已经改变了，他们的研究兴趣也在发展。目前PSC研究协会 更年轻，更多样化，更跨学科，在主要出版物方面更富有成效 期刊和主要赠款的接收比我们在1998年的最后一次竞争P30更新。自1998年以来 在出版物方面，PSC在所有人口中心中排名第一或第二， 人口，经济学和社会学期刊以及NIH研究奖，这些指标非常 对未来的研究生产力充满希望。PSC目前的研究活动集中在 七个标志性主题，涉及人口构成的两个方面（禀赋、人力资源、 人口三要素（生育率、死亡率、移徙）的五个贯穿各领域的办法， 人口组成（方法/数据、时间进程、背景、政策评估、国际）。 对方案支助委员会行政、计算、信息技术和 信息传播（CITID），发展和公共基础设施反映了前瞻性 重新评估如何最好地利用R24和杠杆资源，以提供基本的，但在某些方面， 创新，支持追求PSC的基本中心科学目标。

This application is for core support for the Penn Population Studies Center (PSC), which has fostered research and training in population since 1962. The PSC is characterized by remarkable continuity in its production of high-quality research even as the composition of its own population of Research Associates has changed and their research interests have evolved. The current PSC Research Associates are younger, more diverse, more interdisciplinary and more productive in terms of publications in major journals and receipt of major grants than those at our last competitive P30 renewal in 1998. Since 1998 the PSC has ranked first or second among all population centers in terms of publications in major general population, economics and sociology journals and NIH research awards, indicators that are very promising for future research productivity. The PSC's current research activities are concentrated on seven signature themes that relate to two aspects of population composition (endowments, human resources) and five cross-cutting approaches to the demographic triad (fertility, mortality, migration) and population composition (methods/data, temporal processes, contexts, policy evaluation, international). The proposed support for the PSC Administrative, Computing, Information Technology, and Information Dissemination (CITID), Developmental and Public Infrastructure reflects forward-looking re-evaluations of how best to use R24 and leveraged resources to provide basic, but in some respects innovative, support for the pursuit of the basic PSC central scientific objectives.