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- W2936594696 abstract "This talk examines the history of environmental data systems in the context of the Trump administration’s brutal assault on climate science. Data models — aka algorithms — are as important as “raw” data in generating knowledge of Earth's climate. Yet they are also easy political targets. From an earlier focus on critiques of climate simulation models, since about 2000 climate denialism has shifted toward attacks on data and data models. This movement recently reached a crescendo, with the ascendancy of climate change deniers to dominant positions in the United States, Australia, and elsewhere. The shift is associated with new media environments that effectively created a “glass laboratory,” where even scientists’ emails became metadata in the public life of climate knowledge. In this situation, where previously settled norms and standards have become targets for wholesale elimination, data studies must balance the necessity of critique with its potentially destructive consequences." @default.
- W2936594696 created "2019-04-25" @default.
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- W2936594696 date "2017-01-01" @default.
- W2936594696 modified "2023-09-25" @default.
- W2936594696 title "Knowledge Infrastructures under Siege: Environmental Data Systems as Memory, Truce, and Target" @default.
- W2936594696 doi "https://doi.org/10.22215/datapower.v2017i0.11" @default.
- W2936594696 hasPublicationYear "2017" @default.
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