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The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation

机译:使用高级地理空间数据分析和可视化进行协作策略试验的案例

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摘要

PoliVisu is a new Research and Innovation project specifically designed to utilise stakeholder knowledge by creating a more collaborative policy making process. By harnessing visualisation technologies, PoliVisu begins to close data gaps that have long impeded effective policymaking. As problems are illuminated, policy-making can become more targeted, with attention appropriately and efficiently directed; more tailored, so that responses fit divergent needs; more nimble, able to adjust quickly to changing circumstances; and more experimental, with real-time testing of how problems respond to different strategies. This paper outlines the theory behind the design of PoliVisu and the expected impact of this new policy modelling approach.
机译:PoliVisu是一个新的研究与创新项目,旨在通过创建更具协作性的决策流程来利用利益相关者的知识。通过利用可视化技术,PoliVisu开始弥合长期以来阻碍有效决策的数据鸿沟。随着问题的解决,决策可以变得更有针对性,而注意力应适当而有效地引导;更具针对性,以便响应可以满足不同的需求;更敏捷,能够迅速适应变化的环境;以及更具实验性的功能,可以实时测试问题对不同策略的反应。本文概述了PoliVisu设计背后的理论以及这种新的策略建模方法的预期影响。

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