Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment

By Geoffrey C. Bowker, K. Baker, Florence Millerand, David Ribes. 2009

599 citations recorded by the source corpus.

Subfields: Information Systems, Political Science and International Relations, Sociology and Political Science

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Citations in the corpus

Critical data studies: An introduction (2016, background): “Similarly, Big Data must be challenged by acknowledging the limitations of the positivity of its discourse and the realities of the shifting information infrastructures (Bowker et al., 2010), multiple data subjects and their rights (Haraway, 1991; Jones, 2016), deep information histories (Beniger, 1”
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets (2020, background): “s of creationofdatasetsanddatapractices,weseektomakevisible andthusde-naturalizedatainfrastructure. Inthissense, our genealogyof data follows the the methodologicaltheme of infrastructural inversion (Bowker et al., 2010). Inversion turns our eyes towards the ubiquity of infrastructure, how those inf”
On the genealogy of machine learning datasets: A critical history of ImageNet (2021, methodology): “We use the term infrastructure in a broad sense, echoing de ﬁ nitions from infrastructure studies (Bowker and Star, 2000; Bowker et al., 2010; Larkin, 2013), to encompass the conceptual and material tools that enable different forms of knowledge, work, and scienti ﬁ c practice.”
The conundrum of police officer-involved homicides: Counter-data in Los Angeles County (2016, methodology): “Infrastructure studies works in tandem with critical data studies to offer a method for analyzing the decisions made at various steps of data gathering, management, design, and display (Bowker, 2007; Bowker et al., 2010).”
This Thing Called Fairness (2019, background): “The analytical lens of infrastructures asks us to pay attention to the work and practices done in the “background” that maintain and support sociotechnical systems [14, 127, 141].”