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When data justice and environmental justice meet: formulating a response to extractive logic through environmental data justice

机译:当数据正义与环境正义相遇时:通过环境数据正义制定对提取逻辑的回应

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摘要

Environmental data justice (EDJ) emerges from conversations between data justice and environmental justice while identifying the limits and tensions of these lenses. Through a reflexive process of querying our entanglement in non-innocent relations, this paper develops and engages EDJ by examining how it informs the work of the Environmental Data & Governance Initiative (EDGI), a distributed, consensus-based organization that formed in response to the 2016 US presidential election. Through grassroots archiving of data sets, monitoring federal environmental and energy agency websites, and writing rapid-response reports about how federal agencies are being undermined, EDGI mobilizes EDJ to challenge the extractive logic' of current federal environmental policy and data infrastructures. Extractive logic' disconnects data from provenance, privileges the matrix of domination, and whitewashes data to generate uncertainty. We use the dynamic EDJ framework to reflect on EDGI's public comment advising against the US Environmental Protection Agency's proposed rule for Transparent Science. Through EDJ, EDGI aspires to create new environmental data infrastructures and practices that are participatory and embody equitable, transparent data care.
机译:环境数据正义(EDJ)来自数据正义与环境正义之间的对话,同时又确定了这些视角的局限性和张力。通过反思性地询问我们对非清白关系的纠缠,本文通过研究EDJ如何为环境数据与治理计划(EDGI)的工作提供信息,EDJ是EDJ的组织,该组织应对此做出响应2016年美国总统大选。通过对数据集进行基层归档,监视联邦环境和能源机构的网站以及撰写有关联邦机构受到破坏的快速响应报告,EDGI调动了EDJ来挑战当前联邦环境政策和数据基础架构的提取逻辑。提取逻辑将数据与出处断开连接,赋予控制矩阵以特权,并粉饰数据以产生不确定性。我们使用动态的EDJ框架来反思EDGI的公众意见,该意见反对美国环境保护局针对透明科学的拟议规则。 EDGI希望通过EDJ创建参与性的新环境数据基础架构和实践,并体现公平,透明的数据维护。

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