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Data Vision: Learning to See Through Algorithmic Abstraction
Learning to see through data is central to contemporary forms of algorithmic knowledge production.
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
The trustworthiness of data science systems in applied and real-world settings emerges from the resolution of specific tensions through situated, pragmatic, and ongoing forms of work.
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