Workshop on Migration Data and Analysis
移民数据与分析研讨会
基本信息
- 批准号:10398835
- 负责人:
- 金额:$ 15.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-05-01 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:AcademiaAddressAfricaAgingAreaAttentionBehaviorBirthBirth RateCaliforniaCessation of lifeChildCommunitiesCommunity HealthComplexComputer ModelsCountryDataData AnalysesData CollectionData SetData SourcesDecision MakingDeveloped CountriesDevelopmentEconomicsEducational CurriculumEducational process of instructingEducational workshopEthnographyEventFaceFamilyFeedbackFoundationsGenerationsGoalsGrowthHealthHuman ResourcesImmigrantIndividualInequalityInfrastructureInstitutionInstructionInternal MigrationsInternationalInternational MigrationsInternetInterviewKnowledgeLabor ForcesLawsLearningLearning SkillLegal StatusMeasuresMedicineMethodologyMethodsMigrantMinority WomenModelingMovementOutcomePersonal SatisfactionPersonsPoliticsPopulationPopulation DynamicsPopulation ResearchPopulation SciencesPopulation StudyProcessProductivityPublic HealthRecording of previous eventsRecurrenceReportingResearchResearch DesignResearch PersonnelResearch Project GrantsResearch SupportSamplingShapesSocial NetworkSocietiesSourceSouthern AsiaStreamSurveysTechniquesTimeTrainingTraining ProgramsUnderrepresented MinorityUnited StatesUnited States National Academy of SciencesUniversitiesVisualizationbasebehavioral outcomedata resourcedesigneconomic outcomeexperiencehands on instructionhealth economicshuman modelimprovedinnovationinstructorinterestlearning materialsmigrationmobile computingnetwork modelsonline resourcepeerpopulation healthpopulation movementpopulation surveyprogramsskill acquisitionskillssocialsuccesssymposium
项目摘要
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.
项目摘要/摘要
我们旨在建立迁移数据和分析的年度夏季研讨会,以培训新的
研究人员的产生来评估二十一世纪迁移流的原因和影响(1)
在人口统计学,网络和其他数据分析方法中培训它们,(2)教学以利用现有的
数据集,例如通过插补和纵向匹配,以及(3)在最佳练习中指导它们
出于这些目的的新数据收集项目包括内部和国际迁移
作为一个人从一个定义的area转移到另一个国家或或或
跨越国际边境。
一个密集的动手课程,结合了教学数学特别主题的核心
培训的方法,数据分析和研究设计。
推进他们自己的研究项目,并与同行和专家指导者建立网络。
为那些无法参加研讨会的人建立在线资源,也可以作为长期TRAM的遗产。
迁移是人口研究的三个支柱之一,其存在
许多尊重,比出生和死亡更加准确地衡量。
在时间和空间上建模人类的流动性。
了解接收社会社会的流动性和移民在社会中的福祉
健康,经济和行为成果。
不完整,并提供评估迁移和集成所需的关键变量的有限或不良覆盖范围。
研究人员需要学习存在哪些数据遍布现有的各种来源的数据。
收集克服现有限制的新数据;
包括迁移网络的计算机建模,构成信息的技术或如何
三角形统计和基于现场的定性数据源。
该年度研讨会将在加利福尼亚大学伯克利分校举行,利用校园的机构
和人力资源。
讲师和我们将借鉴大学和PI在培训年轻学者的验证记录
多种纪律和方法论背景,包括基本的基本列表不足的少数群体和
妇女通过培训,分享研究和网络,我们将创建一个持久的
学者社区可以以英语为导向的跨学科迁移研究未来几年。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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