Workshop on Migration Data and Analysis

项目概要/摘要 我们的目标是建立一个年度夏季讲习班在移民数据和分析，将培养一个新的 培养研究人员，以评估二十一世纪世纪移民潮的原因和影响，方法是：（1） 培训他们使用人口统计学、网络和其他数据分析方法，（2）教他们利用现有的 数据集，如通过插补和纵向匹配，以及（3）指导他们的最佳做法， 新的数据收集项目。为此目的，“移徙”包括国内和国际移徙， 广义上被认为是一个人从一个确定的地区到另一个地区的移动，无论是在一个国家内， 穿越国际边界为期11天的培训计划将欢迎来自全国各地的学员， 一个密集的，动手的课程，结合了教学材料的重复核心与特殊主题， 方法、数据分析和研究设计每年都在变化。学员将学习技能，能够 推进自己的研究项目，并与同行和专家教师建立网络。我们还计划 为那些不能参加研讨会的人建立在线资源，并作为长期计划的遗产。 移徙是人口研究的三大支柱之一，但它的存在、原因和后果， 在很多方面，比出生和死亡更难准确衡量。跟踪是一项挑战， 模拟人类在时间和空间上的流动性。学者们还面临着重大障碍， 了解流动性对接收社会和移民在社会各方面的福祉的影响， 健康、经济和行为结果。现有的行政、调查和其他数据来源往往 不完整，对评估移民和融合所需的关键变量的覆盖有限或较差。 研究人员需要了解现有的分散的、不同的来源中有哪些数据;如何 收集克服现有限制的新数据;以及在给定限制的情况下，如何利用现有数据， 包括移民网络的计算机建模，估算缺失信息的技术，或如何 对统计和实地定性数据来源进行三角分析。 这个年度研讨会将在加州大学伯克利分校举行，利用校园的机构 和人力资源。我们将邀请伯克利校园内外的移民专家做客 导师，我们将利用大学和PI在培训年轻学者方面的良好记录， 不同的学科和方法背景，包括历史上代表性不足的少数民族， 妇女通过将培训、共享研究和网络联系在一起，我们将建立一个长期的 在未来几年里，可以从事数据驱动的跨学科移民研究的学者社区。

Project Summary/Abstract We aim to establish an annual Summer Workshop in Migration Data and Analysis that will train a new generation of researchers to evaluate the causes and effects of twenty-first century migration streams by (1) training them in demographic, network and other data-analysis methods, (2) teaching them to leverage existing datasets, such as through imputation and longitudinal matching, and (3) instructing them in best-practices for new data-collection projects. “Migration” for these purposes includes both internal and international migration, conceived broadly as the movement of a person from one defined area to another, either within a country or across an international border. The 11-day training program will welcome trainees from across the country for an intensive, hands-on curriculum that combines a repeated core of instructional material with special topics on methods, data analysis and research design that change year-to-year. Trainees will learn skills, be able to advance their own research projects and build networks with peers and expert instructors. We also plan to build on-line resources for those who cannot attend the workshop, and as a long-term program legacy. Migration is one of the three pillars of population studies but its existence, causes and consequences are, in many respects, much more difficult to measure accurately than births and deaths. It is challenging to track and model human mobility over time and space. Scholars also face significant obstacles in measuring and understanding the repercussions of mobility for receiving societies and for migrants' well-being across social, health, economic and behavioral outcomes. Existing administrative, survey and other data sources are often incomplete and provide limited or poor coverage of key variables needed to evaluate migration and integration. Researchers need to learn which data are available across the scattered, diverse sources in existence; how to collect new data that overcome existing limits; and what can be done with existing data given limitations, including computer modeling of migration networks, techniques for imputing missing information, or how to triangulate statistical and field-based qualitative data sources. This annual workshop will be held at the University of California, Berkeley, leveraging the campus's institutional and human resources. We will call on migration experts on and beyond the Berkeley campus to be guest instructors and we will draw on the university's and PI's proven track record in training young scholars from diverse disciplinary and methodological backgrounds, including historically under-represented minorities and women. By bringing together training, sharing research, and networking, we will create a long-lasting community of scholars who can engage in data-driven interdisciplinary migration research for years to come.