Critical Data Studies in the Anthropocene

2026-09-21

AI Summary

本文探讨了数据化与政治之间的关系，通过两个案例研究分析了数据化基础设施如何影响社会和环境后果，并呼吁学者们跨学科研究数据、基础设施和人类世的政治。

Abstract

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.

Problem

• Anthropocene
• datafication
• politics
• environmental impacts
• power structures

Innovation

• Anthropocene
• critical data studies
• datafication
• infrastructure
• political ecology