Imaginaries of democratization and the value of open environmental data: Analysis of Microsoft's planetary computer

Przemyslaw Matt Lukacz
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Abstract

The proliferation of environmentally oriented programs within the tech industry, and the industry's coinciding efforts toward data and technology democratization, generate concerns about the status of environmental data within digital economy. While the accumulation of digital personal data has been a cornerstone of domination of the data analytics industry, many believe environmental data to be a source of “untapped potential.” The potential of environmental data, the argument goes, would benefit equally the digital economy, environmental sciences, and academic data and artificial intelligence experts. This article analyzes the proliferation of the rhetoric about open environmental data by focusing on Microsoft's Planetary Computer cloud computing program and computer vision experts who curate and use biodiversity data stored on Microsoft's servers. Through an analytical framework of sociotechnical imaginaries, the article draws connections between visions of future for environmental knowledge production and governance promoted by Microsoft and the work of computer vision experts intending to benefit from the potential of environmental data as machine learning training sets while at the same time helping environmental sciences. Although environmental data on the Planetary Computer is democratized, it nonetheless becomes a valued asset to data economy, but often with unintended consequences, such as enabling citizen science biodiversity data to be used by state surveillance apparatus. The article challenges the view that data's democratization is unproblematically serving environmental sciences by examining the consequences of imaginaries of democratization emerging from the data industry leaders and processes of nonmonetary valuation of environmental data by experts who curate these datasets.
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民主化的想象与开放环境数据的价值:微软行星计算机分析
科技行业中以环保为导向的项目激增,同时该行业也在努力实现数据和技术的民主化,这引发了人们对环境数据在数字经济中的地位的担忧。虽然数字个人数据的积累一直是数据分析行业主导地位的基石,但许多人认为环境数据是 "未开发潜力 "的来源。这种观点认为,环境数据的潜力将使数字经济、环境科学以及学术数据和人工智能专家同样受益。本文通过聚焦微软的行星计算机云计算项目,以及整理和使用存储在微软服务器上的生物多样性数据的计算机视觉专家,分析了开放环境数据言论的扩散。文章通过一个社会技术想象的分析框架,在微软倡导的环境知识生产和治理的未来愿景与计算机视觉专家的工作之间建立了联系,计算机视觉专家希望从环境数据作为机器学习训练集的潜力中获益,同时为环境科学提供帮助。尽管行星计算机上的环境数据是民主化的,但它仍然成为数据经济的宝贵资产,但往往会带来意想不到的后果,如公民科学的生物多样性数据被国家监控机构利用。文章通过研究数据行业领导者对民主化的想象所产生的后果,以及策划这些数据集的专家对环境数据进行非货币估值的过程,对数据民主化毫无问题地服务于环境科学的观点提出了质疑。
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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