人类世中的批判性数据研究
Critical Data Studies in the Anthropocene
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中文总结 AI 辅助
本章将人类世概念引入批判性数据研究，通过西班牙和智利案例，揭示数据化基础设施与权力结构的交织，并呼吁跨学科探索数据政治与环境影响。
中文摘要 AI 辅助
本章将人类世的概念引入批判性数据研究，该领域在过去十年中一直探索数据化与政治之间的纠缠关系。随着当代数据化与生成式计算一同规模扩大，有必要在理论和方法论上扩展这些讨论，以考虑人工智能政治中固有的提取与剥削逻辑。批判性数据学者被呼吁审视围绕当代数据化物质性的主导叙事如何掩盖或揭示其环境影响，以及诸如谁从这些逻辑中受益等其他关键问题。为说明这一点，本章引入了来自西班牙和智利的两个案例研究，探讨当代数据化的基础设施如何与现有权力结构相交织，影响哪些社会和环境后果被承认、被处理以及被忽视。最后，本章邀请批判性数据学者通过融合科学技术研究、媒体、地理和政治生态学之间的学科界限，继续探索数据、基础设施和人类世的政治。
英文摘要
This chapter introduces the concept of the Anthropocene into critical data studies, a field that has, for the past decade, explored the entanglements between datafication and politics. With the scaling up of contemporary datafication alongside generative computing, it is essential to expand these debates, both theoretically and methodologically, to consider the logics of extraction and exploitation inherent in the politics of artificial intelligence. Critical data scholars are called to interrogate how dominant narratives around the materiality of contemporary datafication either obscure or reveal its environmental impacts, along other key questions such as who benefits from these logics. To illustrate this, this chapter brings two case studies from Spain and Chile and explores how the infrastructure of contemporary datafication intersects with existing power structures, influencing which social and environmental consequences are recognized, addressed, and neglected. Finally, it invites critical data scholars to keep exploring the politics of data, infrastructure, and the Anthropocene by blending discipline boundaries between science and technology studies, media, geography, and political ecology.
