GCR: Collaborative Research: Disentangling Environmental Change and Social Factors as Drivers of Migration

GCR：合作研究：理清环境变化和社会因素作为移民驱动因素的关系

• 批准号: 1934955
• 负责人: Sonali McDermid
• 金额: $ 91.06万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934955&HistoricalAwards=false
• 关键词: GCR; Collaborative; Research; Disentangling; Environmental

The objectives of this Growing Convergence Research project are to develop a comprehensive analysis of large-scale human migrations and improve our ability to predict them. The challenges that drive and are created by large-scale migrations motivate this research into how regional and international migrant flows will change in the future and how sensitive these flows are to changing social and environmental conditions. The research team aims to achieve convergence across geography, economics, political science, environmental science, and crop sciences to better understand the causes of migration and predict future mass-migrations. Such understanding will allow society to better anticipate, adapt to, and manage such migrations to maximize human wellbeing in both source and destination countries.In the proposed work, a team of researchers who are individually experts in the multiple subject areas relevant to migration will work together to transcend their disciplinary boundaries and develop a common language and methodology for understanding, analyzing, modeling and predicting migration within social, economic, and environmental contexts and their impacts on food production, security, and household livelihoods. The team will engage in intentional convergence activities where all team members together with stakeholders will work with social, economic and environmental data and models to analyze the complexity of the migration issues. This analysis will be translated into predictive models that will be calibrated and verified against historical data. The modeling effort will couple climate, crop, and global food trade models with models of household livelihoods. These will drive agent-based models of migration decisions that account for perceptions of opportunity and risk, migrant and family networks, resources, and standard economic utility maximizing models. The integrated modeling will be developed and modified as needed with input from the stakeholder community.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.

这个“日益融合研究”项目的目标是对大规模人类迁徙进行全面分析，并提高我们预测它们的能力。大规模移民带来的挑战促使我们研究区域和国际移民流动在未来将如何变化，以及这些流动对不断变化的社会和环境条件有多敏感。该研究小组的目标是实现地理学、经济学、政治学、环境科学和作物科学的融合，以更好地了解移民的原因并预测未来的大规模移民。这种理解将使社会能够更好地预测、适应和管理此类移民，以最大限度地提高来源国和目的地国的人类福祉。在拟议的工作中，一个由与移民相关的多个学科领域的专家组成的研究团队将共同努力，超越他们的学科界限，开发一种共同的语言和方法来理解、分析、建模和预测社会、经济和环境背景下的移民及其对粮食生产、安全和粮食生产的影响。 家庭生计。该团队将开展有意识的融合活动，所有团队成员与利益相关者将利用社会、经济和环境数据和模型来分析移民问题的复杂性。该分析将转化为预测模型，并根据历史数据进行校准和验证。建模工作将把气候、作物和全球粮食贸易模型与家庭生计模型结合起来。这些将推动基于代理的移民决策模型，该模型考虑了机会和风险的感知、移民和家庭网络、资源以及标准经济效用最大化模型。集成模型将根据利益相关者群体的意见根据需要进行开发和修改。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Conflict versus Disaster-induced Displacement: Similar or Distinct Implications for Security?

• DOI: 10.1080/13698249.2021.1963586
• 发表时间: 2021-09
• 期刊: Civil Wars
• 影响因子: 1.1
• 作者: Heidrun Bohnet;F. Cottier;S. Hug

Climate variability and irregular migration to the European Union

• DOI: 10.1016/j.gloenvcha.2021.102275
• 发表时间: 2021-05-27
• 期刊: GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
• 影响因子: 8.9
• 作者: Cottier, Fabien;Salehyan, Idean
• 通讯作者: Salehyan, Idean

Violent conflict exacerbated drought-related food insecurity between 2009 and 2019 in sub-Saharan Africa

• DOI: 10.1038/s43016-021-00327-4
• 发表时间: 2021-08-12
• 期刊: NATURE FOOD
• 影响因子: 23.2
• 作者: Anderson, Weston;Taylor, Charles;Markey, Kelsey
• 通讯作者: Markey, Kelsey