Belmont Forum Collaborative Research: Climate extremes and migration in Madagascar: Towards an integrated monitoring and modeling for mitigation and adaptation
贝尔蒙特论坛合作研究:马达加斯加的极端气候和移民:迈向缓解和适应的综合监测和建模
基本信息
- 批准号:2318924
- 负责人:
- 金额:$ 44.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-06-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries. The teams will establish transdisciplinary projects to identify and understand how climate-related events, both slow and rapid onset, are linked to human migration and mobility. The CHAIN project, focused on a case study in Madagascar, includes agent-based and multi-hazard modeling to fill gaps in our understanding around climate driven migration. The investigators will use multiple approaches to build a cohesive data set to address four specific, well-defined, gaps in the literature. By doing so, the project team will also develop cost-effective methods for quantifying and then modeling migration, in a multi-hazard environment. Importantly, the project aims to characterize migration to inform adaptation and policy responses. These goals will be accomplished via four interconnected work packages, with intentionality and theory informing the connections the team prioritizes. The work packages include: (1) remote sensing-based estimates of migration, (2) physical models, (3) measuring the migration-multi-hazard environment nexus; and (4) agent-based modeling. The research team includes researchers from France, Madagascar, Sweden, UK, and USA, and draws on several expertise to accomplish their goals: environmental physics and geography, climatology and environmental sciences, development studies, applied development economics, policy evaluation, and behavioral and other social sciences. The team also includes six stakeholder organizations and by including “knowledge-brokering” workshops throughout the project the team demonstrated their commitment to the co-production of knowledge. This collective skillset is critical for the team to develop integrated human-centric approaches and better understand complex relationships among the many factors influencing migration/mobility and its relationship to climate hazards.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.
该奖项通过贝尔蒙特论坛,为参与由55个国家的全球变化研究倡议竞争性选择的项目的美国研究人员提供支持。 贝尔蒙特论坛是一个由研究供资组织组成的联合会,其重点是支持对全球环境变化挑战和机遇采取跨学科办法。 它的目的是通过调整和调动国际资源,加快提供最迫切需要的国际研究,以消除可持续性的关键障碍。每个伙伴国家都在一个财团内为其研究人员提供资金,以减轻跨越国际边界的资金需求。这一办法有助于有效利用国家资源,支持对具有全球意义的专题进行出色的研究,最好通过多国办法加以处理,同时认识到全球挑战需要全球解决办法。该奖项为美国研究人员提供支持,使他们能够在由至少三个参与国的合作伙伴组成的联盟中进行合作。 这些小组将建立跨学科项目,以确定和了解与气候有关的事件,无论是缓慢发生还是快速发生,如何与人类移徙和流动联系在一起。 CHAIN项目侧重于马达加斯加的一个案例研究,包括基于代理的多灾害建模,以填补我们对气候驱动的移民的理解方面的空白。研究人员将使用多种方法来建立一个有凝聚力的数据集,以解决文献中四个具体的、定义明确的空白。通过这样做,项目小组还将开发具有成本效益的方法,用于在多灾害环境中量化和建模迁移。重要的是,该项目旨在描述移徙的特点,为适应和政策应对提供信息。这些目标将通过四个相互关联的工作包来实现,意图和理论将告知团队优先考虑的连接。这些工作包包括:(1)基于遥感的移徙估计,(2)物理模型,(3)测量移徙-多种灾害环境关系;(4)基于代理的建模。 该研究团队包括来自法国,马达加斯加,瑞典,英国和美国的研究人员,并利用多种专业知识来实现他们的目标:环境物理学和地理学,气候学和环境科学,发展研究,应用发展经济学,政策评估,行为和其他社会科学。该小组还包括六个利益攸关方组织,并通过在整个项目期间举办“知识调配”讲习班,表明他们致力于共同生产知识。这种集体技能对于团队开发以人为本的综合方法,更好地理解影响移民/流动的众多因素之间的复杂关系及其与气候灾害的关系至关重要。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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Valerie Mueller其他文献
Learning to Lead: An Exploration of Leadership Development in Obstetrics and Gynaecology
- DOI:
10.1016/j.jogc.2022.02.043 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:
- 作者:
Catherine Friedman;Valerie Mueller;Adam Garber;Catherine Craig - 通讯作者:
Catherine Craig
Learning to Lead: An Exploration of Leadership Development in Obstetrics and Gynaecology
- DOI:
10.1016/j.jogc.2024.102491 - 发表时间:
2024-05-01 - 期刊:
- 影响因子:
- 作者:
Catherine L. Friedman;Mary Ellene Boulos;Catherine Craig;Adam B. Garber;Valerie Mueller - 通讯作者:
Valerie Mueller
Domestic Burdens Amid Covid-19 and Women’s Mental Health in Middle-Income Africa
Covid-19 带来的家庭负担和非洲中等收入地区妇女的心理健康
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.6
- 作者:
Valerie Mueller;K. Grépin;A. Rabbani;Anne Ngũnjiri;A. Oyekunle;C. Wenham - 通讯作者:
C. Wenham
P-OBS-JM-061 Interprofessional Perinatal Simulation as a Teaching Tool for Trainees in Obstetrics and Midwifery: A Pilot Project
- DOI:
10.1016/j.jogc.2017.03.011 - 发表时间:
2017-05-01 - 期刊:
- 影响因子:
- 作者:
Harrison Banner;Lauren Columbus;Valerie Mueller;Cara Donnery;Kelly Dore;Beth Murray-Davis;Susan Ellis - 通讯作者:
Susan Ellis
Déclaration de consensus n<sup>o</sup> 434 : Simulation en obstétrique et gynécologie
- DOI:
10.1016/j.jogc.2023.02.007 - 发表时间:
2023-03-01 - 期刊:
- 影响因子:
- 作者:
Andrée Sansregret;Adam Garber;Tatiana Freire-Lizama;Luis Monton;Valerie Mueller;Nicholas Papalia;P. James A. Ruiter;Eliane M. Shore;Michelle Suri - 通讯作者:
Michelle Suri
Valerie Mueller的其他文献
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{{ truncateString('Valerie Mueller', 18)}}的其他基金
CoPe: Collaborative Research: EAGER: An analysis of the impacts of sea-level change related flooding on commuting patterns and neighborhood gentrification.
CoPe:合作研究:EAGER:分析与海平面变化相关的洪水对通勤模式和社区高档化的影响。
- 批准号:
1939843 - 财政年份:2019
- 资助金额:
$ 44.98万 - 项目类别:
Standard Grant
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