IRES Track I: Collaborative Research: U.S.-Indonesian Research Experience for Students on Sustainable Adaptation of Coastal Areas to Environmental Change
IRES 轨道 I:合作研究:美国-印度尼西亚学生关于沿海地区对环境变化可持续适应的研究经验
基本信息
- 批准号:1826939
- 负责人:
- 金额:$ 10.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This is a collaborative three year IRES project for 18 US students to gain international research experience in earth, life and data sciences as applied to the coastal region of Northern Central Java, Indonesia. The collaborative activities will be performed in partnership between Boston University (BU), Tufts University (TU) and the University of Diponegoro (UNDIP), Semarang, Indonesia. A cohort of six students per year will gain hands-on laboratory and field experience in coastal zone research during a six-week stay at the foreign institution.Coastal cities worldwide are facing the enormous task to become resilient against physical, social and economic challenges, in addition to challenges due to climate variations. Semarang (Indonesia) is one of the cities that exemplifies the multiple threats affecting society, economy, environment, and infrastructure. Assessing the impacts of present and future coastal hazards requires an understanding of the complex interactions between geological, hydrological, biophysical and socioeconomic systems. This can be best achieved by an integrated approach that includes research on both land and sea dynamics to identify natural and anthropogenic factors, their relative influences and related consequences. This project seeks to undertake effective, innovative, and transformative research to understand how coastal environments respond to natural and anthropogenic factors. Geospatial technology combined with big data analytics will be applied to assessing and monitoring the effects of coastal hazards with the goal to enable the sustainable adaptation of coastal areas to global environmental change. Students will learn data acquisition techniques and the ability to analyze and interpret scientific information.The proposed research will combine field experience with cutting edge geospatial technology and data analytics to investigate the following research questions:1. Is land subsidence in Semarang coastal area mainly caused by natural or anthropogenic processes? Or both? How can we determine the prevailing factors; whether it is due to groundwater abstraction, tectonic movement, volcanic activities or a combination of factors? 2. To what extent is the marine productivity of coastal waters near Semarang city affected by changing climatologic conditions of oceanic and atmospheric parameters in Java Sea? How is climate variations impacting fisheries resources and the economic productivity of coastal communities? How can we build models that show the linkages? 3. How can we effectively monitor and assess coastal marine ecosystems health and productivity? Are artificial patch reefs and mangrove reforestation efforts in Semarang coastal region effective solutions for protecting and rehabilitating coastal ecosystems? 4. How can geospatial technology and big data analytics help in revealing crucial interactions between ecological, economic and policy aspects to assess and manage the environmental risks? How can we measure and assess the changes in food intake pattern and food safety in relation to extreme weather and coastal hazards?This project will establish a long term collaborative research and training program between US and Indonesian faculty and students. US students majoring in STEM fields will have an opportunity to conduct research and field work in an international and multi-disciplinary setting by engaging in problem solving research activities. They will be mentored by foreign collaborators and US PIs through web video conferencing and workshops jointly taught at the collaborating institution. The IRES experience is expected to a) broaden and leverage partnerships with overseas institutions, b) enhance US-student global awareness and perspectives, and c) develop multi-disciplinary themes that improve understanding of global change such as coral bleaching, habitat diversity, and coastal hazards. Research findings will be disseminated through peer-reviewed publications and presentations at conferences. In partnership with UNDIP and relevant agencies in Northern Central Java region, decision support products resulting from this project will be distributed.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.
这是一个为期三年的IRES合作项目,18名美国学生将获得应用于印度尼西亚中爪哇北方沿海地区的地球,生命和数据科学的国际研究经验。这些合作活动将由波士顿大学(BU)、塔夫茨大学(TU)和印度尼西亚塞马朗的迪波尼戈罗大学(UNDIP)合作开展。每年六名学生将在外国机构停留六周期间获得沿海地区研究的实践实验室和实地经验。全球沿海城市面临着巨大的任务,除了气候变化带来的挑战外,还要应对物理,社会和经济挑战。塞马朗(印度尼西亚)是一个城市,体现了影响社会,经济,环境和基础设施的多重威胁。评估当前和未来沿海灾害的影响需要了解地质、水文、生物物理和社会经济系统之间复杂的相互作用。要做到这一点,最好采取综合办法,包括对陆地和海洋动态进行研究,以确定自然和人为因素及其相对影响和相关后果。该项目旨在进行有效的,创新的和变革性的研究,以了解沿海环境如何应对自然和人为因素。地理空间技术与大数据分析相结合,将用于评估和监测沿海灾害的影响,目标是使沿海地区能够可持续地适应全球环境变化。学生将学习数据采集技术以及分析和解释科学信息的能力。拟议的研究将结合联合收割机领域的经验与尖端的地理空间技术和数据分析,以探讨以下研究问题:1。塞马朗沿海地区的地面沉降主要是由自然还是人为过程引起的?或者两者都有?我们如何确定主要因素;是由于抽取地下水、构造运动、火山活动还是由于各种因素的组合?2.爪哇海海洋和大气参数的气候条件变化对塞马朗市附近沿海沃茨的海洋生产力的影响程度如何?气候变化如何影响渔业资源和沿海社区的经济生产力?我们如何建立模型来显示这些联系?3.我们如何能够有效地监测和评估沿海海洋生态系统的健康和生产力?在塞马朗沿海地区的人工珊瑚礁和红树林造林工作是保护和恢复沿海生态系统的有效解决方案吗?4.地理空间技术和大数据分析如何帮助揭示生态,经济和政策方面之间的关键相互作用,以评估和管理环境风险?我们如何衡量和评估食物摄入模式和食物安全在极端天气和沿海灾害方面的变化?该项目将在美国和印度尼西亚的教师和学生之间建立一个长期的合作研究和培训计划。STEM领域的美国学生将有机会通过参与解决问题的研究活动,在国际和多学科环境中进行研究和实地工作。他们将由外国合作者和美国PI通过网络视频会议和合作机构联合授课的研讨会进行指导。IRES的经验预计a)扩大和利用与海外机构的伙伴关系,B)提高美国学生的全球意识和观点,以及c)开发多学科主题,提高对珊瑚漂白,栖息地多样性和沿海灾害等全球变化的理解。研究结果将通过同行审查的出版物和在会议上的发言加以传播。与UNDIP和中爪哇北方地区的相关机构合作,将分发该项目产生的决策支持产品。该奖项反映了NSF的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(2)
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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Elena Naumova其他文献
P17-042-23 Evaluating the Association Between the Cost of Diets and Dietary Intake: Assessing Diet Cost Indicators in 161 Countries
- DOI:
10.1016/j.cdnut.2023.100938 - 发表时间:
2023-07-01 - 期刊:
- 影响因子:
- 作者:
Shiwei Liang;Bingjie Zhou;Yutong Chen;Naglaa El-Abbadi;Yan Bai;Elena Naumova - 通讯作者:
Elena Naumova
PTFS06-06-23 Discrepancies in Intake Estimates for Select Dietary Factors in Two Dietary Databases: Global Burden of Disease and Global Dietary Database
- DOI:
10.1016/j.cdnut.2023.101201 - 发表时间:
2023-07-01 - 期刊:
- 影响因子:
- 作者:
Yutong Chen;Bingjie Zhou;Elena Naumova - 通讯作者:
Elena Naumova
Extreme Weather Events Differentially Impact Retail Food Prices: Evidence from Early Warning Systems
- DOI:
10.1093/cdn/nzac050.012 - 发表时间:
2022-06-01 - 期刊:
- 影响因子:
- 作者:
Aishwarya Venkat;William Masters;Elena Naumova - 通讯作者:
Elena Naumova
P02-027-23 Recurrent Flooding and Household Food Access in Central Java, Indonesia in 1984–2015
- DOI:
10.1016/j.cdnut.2023.100258 - 发表时间:
2023-07-01 - 期刊:
- 影响因子:
- 作者:
Breanne Langlois;Erin Coughlan De Perez;Magaly Koch;Timothy Griffin;Elena Naumova - 通讯作者:
Elena Naumova
Evaluating Indirect Impacts of Climate Change on Fishing and Farm Productivity Using the Indonesian Family Life Survey: An Example Exploring Natural Disasters and Migration
- DOI:
10.1093/cdn/nzaa042_006 - 发表时间:
2020-06-01 - 期刊:
- 影响因子:
- 作者:
Breanne Langlois;Ryan Simpson;Oyedolapo Anyanwu;Elizabeth Marsh;Salima Taylor;Elena Naumova - 通讯作者:
Elena Naumova
Elena Naumova的其他文献
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{{ truncateString('Elena Naumova', 18)}}的其他基金
IGE: STEM Graduate training in Data Science: solution-oriented, student-led, team-based, computationally-enriched (SOLSTICE) training
IGE:数据科学领域的 STEM 研究生培训:以解决方案为导向、学生主导、基于团队、计算丰富的 (SOLSTICE) 培训
- 批准号:
1855886 - 财政年份:2019
- 资助金额:
$ 10.07万 - 项目类别:
Standard Grant
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