使用混合倡议社会媒体分析和可视化创新良好的监管实践

V. Lemieux
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引用次数: 2

摘要

更大的数据可用性-所谓的大数据-为应用创新分析方法和新技术提供了新的机会,以更好地理解与良好监管实践相关的发展战略和结果。本文讨论了在可视化、交互性和数据科学方法的推动下,培训和使用更多数据驱动方法的机会,以创新规则制定以及政府与公民就监管改革进行对话的方式。本文特别关注两个领域——1)监管影响评估(RIA)和2)规则制定的通知和评论中的信息处理支持——特别是关于如何应用一种新的大数据分析框架,混合倡议社交媒体分析(MISMA),可以用来解决这两个规则制定挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovating Good Regulatory Practice Using Mixed-Initiative Social Media Analytics and Visualization
Greater availability of data - so called big data - presents new opportunities to apply innovative analytic approachesand new technologies to better understand development strategies and outcomes in relation to Good Regulatory Practice. Thispaper discusses the opportunity to train and use more data-driven approaches facilitated by visualization, interactivity anddata science methods to innovate rule making and the way governments engage in dialogue with citizens on regulatory reforms. The paper focuses on two areas in particular - 1) regulatory impact assessment (RIA) and 2) information processing support innotice and comment on rulemaking - with particular reference to how the application of a novel big data analytics framework, Mixed-Initiative Social Media Analytics (MISMA), can be used to address these two rulemaking challenges.
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