Tracking Mobile Marine Species: Spatial Data, Visualization, and the Science-Policy Interface
Tracking Mobile Marine Species: Spatial Data, Visualization, and the Science-Policy Interface
批准号:
1539817
负责人:
Elizabeth Havice
金额:
$16.06万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-15 至 2019-01-31
中文摘要
该研究项目将研究产生时空数据和移动物种视觉表示的科学研究如何影响有关控制高度迁移海洋资源和财产的政策辩论。该项目将为跟踪数据的生产、可视化和解释之间的联系及其在科学政策关系中的后续解释提供新的见解。跨学科的调查小组将把流动海洋资源的研究领域和管理这些资源的控制关系结合起来,以解决有关海洋资源控制的问题。项目调查结果将为资源管理人员和决策者提供关于跨界海洋资源地理范围的新观点和信息,以促进制定和执行有意义的养护措施。这些调查人员在就海洋管理的科学和政策方面向各国政府、国际、区域和地方组织提供咨询方面积累了丰富的集体经验,他们将在学术界和政策圈以及从事海洋资源管理的保护和工业利益攸关方中发展和传播研究结果。通过研究追踪项目的起源、产品和用途,本研究项目将把科学与政策之间的关系与资源控制方面的学术研究联系起来。研究人员将关注四组核心问题:(1)标签数据的科学表示如何为管理辩论和实践提供信息?(2)标记数据如何影响民族国家提出和分配资源的方式,以及对标记数据的解释如何影响政策?(3)科学家如何决定向利益相关者展示数据的方式?(4)政策和管理需要如何影响标记研究的研究问题、物种和研究区域?调查人员将分析具有开创性的研究,并将采用信息周期分析、调查工具、会议观察以及结构化和半结构化访谈来探索流动海洋资源的表现与政策制定过程之间的交叉点,以便在多个治理层面上控制或主张它们。数据将通过转录、编码以及使用定量和定性调查和文本分析软件进行分析。项目研究结果将为科学政策关系如何与涉及地方、区域和全球利益相关者的资源控制决策问题相交叉提供新的视角。
英文摘要
This research project will examine how scientific studies that yield spatiotemporal data and visual representations of mobile species shape policy debates about control over highly migratory ocean resources and property. The project will provide new insights regarding the connections among the production, visualization, and interpretation of tracking data and their subsequent interpretation in science-policy relations. The interdisciplinary team of investigators will integrate the research areas of mobile marine resources and the control relations governing them to address questions dealing with resource control in the oceans. Project findings will provide new perspectives to resource managers and policy makers about the geographic range of transboundary marine resources and information to facilitate the development and implementation of meaningful conservation measures. Building on their extensive collective experience in advising governments, international, and regional and local organizations about the scientific and policy aspects of ocean management, the investigators will develop and disseminate study findings in academic and policy circles as well as to conservation and industry stakeholders engaged in marine resource management.By studying the origins, products, and uses of tracking projects, this research project will link the relationship between science and policy to scholarship on resource control. The investigators will focus on four sets of core questions: (1) How do scientific representations of tagging data inform management debate and practice? (2) How have tagging data influenced the ways resource claims are made and assigned by and among nation-states, and how do interpretations of tagging data influence policy? (3) How do scientists determine the ways they visually represent their data to stakeholders? (4) How have policy and management needs influenced the research questions, species and study areas on which tagging studies are initiated? The investigators will analyze seminal studies, and they will employ an information cycle analysis, survey tools, meeting observations, and structured and semi-structured interviews to explore the intersections between representations of mobile marine resources and the policy-building processes to control or claim them at multiple governance levels. Data will be analyzed through transcription, coding, and the use of quantitative and qualitative survey and textual analysis software. Project findings will provide new perspectives regarding how science-policy relationships intersect with questions of resource-control decision making involving local, regional, and global stakeholders.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
(How) will new data technologies support oceans governance?
新数据技术(如何)支持海洋治理?
DOI:
--
发表时间:
2023
期刊:
Environment and planning D Society space
影响因子:
--
作者:
[Havice, Elizabeth, Campbell, Lisa M.]
通讯作者:
Campbell, Lisa M.
The Big Data Revolution and Oceans Management
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批准号:2026345
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项目类别:Standard Grant
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资助金额:$39.99万
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财政年份:2020
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负责人:Elizabeth Havice
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依托单位:
国内基金
海外基金
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批准号:2020A151501586
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2020
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负责人:曲久鑫
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依托单位:
基于Mobile Agent 的分布式数据流挖掘技术研究
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批准号:60873037
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项目类别:面上项目
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资助金额:32.0万元
-
批准年份:2008
-
负责人:张健沛
-
依托单位:
基于支持向量机的Mobile Agent系统中数据分类方法研究
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批准号:60673131
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项目类别:面上项目
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资助金额:8.0万元
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批准年份:2006
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负责人:张健沛
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依托单位: