The Universal Factory

Kevin C. Rogan
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引用次数: 1

Abstract

Critical data studies have made great strides in bringing together data analysts and urban design, providing an extensible concept which is useful in visualizing the role of local and planetary data networks. But in the light of the experience of Sidewalk Labs, critical data studies need a further push. As smart cities, algorithmic urbanisms, and sensorial regimes inch closer and closer to reality, critical data studies remain woefully blind to economic and political issues. Data remains undertheorized for its economic content as a commodity, and the political ramifications of the data assemblages remain locked in a proto-political schema of good and bad uses of this vast network of data collection, analysis, research, and organization. This paper attempts to subject critical data studies to a rigorous critique by deepening its relationship to the history thus far of Sidewalk Labs' project in Quayside, Toronto. It is broken into sections. The first section discusses the material reality of Kitchin and Lauriault's (2014) data assemblages and data landscapes. The second section investigates data itself and what its ‘inherent' value means in an economic sense. The third section looks at the way the understanding of data promoted by the data assemblage effects smart city design. The fourth section examines the role of the designer in shepherding this vision, and moreover the data assemblage, into existence.
环球工厂
关键数据研究在将数据分析和城市设计结合起来方面取得了巨大进展,提供了一个可扩展的概念,有助于将当地和全球数据网络的作用可视化。但根据Sidewalk Labs的经验,关键数据研究需要进一步推进。随着智慧城市、算法城市化和感官制度越来越接近现实,关键数据研究仍然可悲地无视经济和政治问题。数据作为一种商品的经济内容仍然没有被理论化,数据集合的政治后果仍然被锁定在这个庞大的数据收集、分析、研究和组织网络的好与坏使用的原始政治模式中。本文试图通过深化其与Sidewalk Labs在多伦多Quayside项目迄今为止的历史关系,对批判性数据研究进行严格的批判。它被分成几个部分。第一部分讨论了Kitchin和Lauriault(2014)的数据集合和数据景观的物质现实。第二部分研究数据本身及其“内在”价值在经济意义上的意义。第三部分探讨了数据整合所促进的对数据的理解如何影响智慧城市设计。第四部分考察了设计师在引导这一愿景以及数据组合中所扮演的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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