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Doctoral Dissertation Research: Investigating differential data collection among migrants, aid workers, and officials

博士论文研究：调查移民、援助人员和官员之间的差异数据收集

基本信息

批准号：
2116942
负责人：
Kamala Visweswaran
金额：
$ 2.24万
依托单位：
William Marsh Rice University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2116942&HistoricalAwards=false
关键词：
Doctoral Dissertation Research Investigating differential

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Political and environmental turmoil have led to the displacement of individuals from their homes. Documenting mobile populations facilitates efforts to ameliorate the effects of displacement. Documentation of mobile populations is also challenging as individuals move through various temporary facilities and housing arrangements while en route. Moreover, the traits of individuals – both migrants and those with whom migrants interact – affect how migrant characteristics and movements are documented, creating poorly understood variation in the process of documentation. This doctoral dissertation research uses theory from governance and cultural anthropology to understand how the intersections of individual attributes affect migrant interactions with aid workers and government officials. In addition to supporting the training of a graduate student in anthropology in methods of empirical, scientific data collection and analysis, the project enhances scientific understandings by broadly disseminating its findings to relevant stakeholders and policy makers. Specifically, this research project investigates how different data collection technologies are employed by aid workers and government officials as they interact with heterogeneous migrants. The doctoral student uses ethnographic and archival methods to answer research questions focusing on how aid workers and government officials understand and use data collection technologies, and how individual characteristics of the workers, officials, and migrants affect the use of different technologies. These findings offer guidance to humanitarian actors, agencies, and policy makers interested in better understanding which data collection strategies and associated practices are most effective in achieving positive outcomes for individuals and communities affected by migration.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项全部或部分由2021年美国救援计划法案（公法117-2）资助。政治和环境动荡导致个人流离失所。记录移动的人口有助于减轻流离失所影响的努力。对移动的人口进行记录也是一项挑战，因为人们在途中要经过各种临时设施和住房安排。此外，个人的特点-包括移徙者和与移徙者互动的人-影响到如何记录移徙者的特点和流动情况，在记录过程中造成了人们知之甚少的差异。这篇博士论文研究使用治理和文化人类学的理论来理解个人属性的交叉点如何影响移民与援助工作者和政府官员的互动。除了支持培训一名人类学研究生掌握经验科学数据收集和分析方法外，该项目还通过向有关利益攸关方和决策者广泛传播其研究结果，提高科学认识。具体而言，本研究项目调查了援助人员和政府官员在与异质移民互动时如何采用不同的数据收集技术。博士生使用民族志和档案方法来回答研究问题，重点是援助工作者和政府官员如何理解和使用数据收集技术，以及工人，官员和移民的个人特征如何影响不同技术的使用。这些发现为人道主义行动者、机构和政策制定者提供了指导，他们有兴趣更好地了解哪些数据收集策略和相关做法在为受移民影响的个人和社区取得积极成果方面最有效。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。