Workshops in Formal Demography

项目概要/摘要 继在加州大学非常成功地推出这一培训计划之后， 伯克利分校，这个更新项目的目的是继续提供高水平的培训 研讨会的研究生，博士后研究员和早期职业教师感兴趣的 获得正式的人口统计学技能。正式的人口统计学包括一套分析工具， 允许一种分析不可能与标准的统计模型，因此至关重要 来解决21世纪发生的复杂人口过程。我们建立 在第一个五年周期的成功，并引入新的讲习班内容， 选择特别强调专题，将正式人口统计学与重要的和新出现的 人口研究领域。在教学方面，我们将通过以下措施使讲习班的形式现代化： 增加研讨会前的远程学习，现场团队项目，以及新一代的 教官拟议的计划包括三个星期的指导独立研究之前， 研讨会，为期一周的研讨会在伯克利-三天的培训，然后是两天的 研究会议;以及美国人口协会的年度网络活动 会议.为期三天的核心培训将包括关于人口动态的指导， 现代人口计算的实践培训（R统计建模语言）。一 第三天将包括针对该年特别重点主题的培训和方法。这些 讲习班不仅是培训场所，而且还为以下人员提供了充分的机会： 建立关系和社区。在这一周里， 在小组项目上，让他们有充分的数据和方法的实践经验， 研讨会最后一天将介绍这些项目的成果。所涉专题 讲习班包括继续讨论生育率数学建模的核心议题 和死亡率，增加了传染病人口模型的新主题， 气候变化对人口的影响，以及数字人口。这些要素-培训， 研究报告，小组项目，网络-努力创造一个持久的社区， 可以从事跨学科研究多年的学者。这样，我们期待 这些研究的主题将为人口和社会科学研究提供信息， 特别是对人口健康政策产生积极影响。

PROJECT SUMMARY/ABSTRACT Following on a very successful launch of this training program at the University of California Berkeley, the purpose of this renewal project is to continue providing high level training workshops for graduate students, postdoctoral fellows and early career faculty interested in acquiring formal demography skills. Formal demography consists of a set of analytic tools that allow for a kind of analysis not possible with standard statistical models and are therefore critical in addressing the kinds of complex population processes occurring in the 21st century. We build on the success of the first 5-year cycle, and introduce new workshop content by having a yearly special emphasis topic chosen to connect formal demography to important and newly emerging areas of demographic research. Pedagogically, we will modernize the workshop format by adding pre-workshop remote learning, on-site team projects, and a new generation of instructors. The proposed program consists of three weeks of guided independent study prior to the workshop, a weeklong workshop in Berkeley – three days of training followed by a two-day research conference; and an annual networking event at Population Association of America meetings. The three days of core training will include instruction on population dynamics and hands-on training in modern demographic computing (in the R statistical modeling language). A third day will include training and methods specific to that year's special emphasis topic. These workshops not only serve as training grounds, but also provide ample opportunities for networking and building relationships and community. During the week, trainees will also work on group projects to give them ample hands-on experience with the data and methodology, and results of these projects are presented on the final day of the workshop. The topics covered in the workshops include the continuation of core topics in the mathematical modeling of fertility and mortality, with the addition of new themes in population models of contagious diseases, impact of climate change on demography, and digital demography. These elements – training, research presentations, group projects, networking – work to create a long-lasting community of scholars that can engage in interdisciplinary research for years to come. In this way we expect that the topics of these studies will serve to inform demographic and social science research and have positive impacts in particular on population health policies.