Astronomy & Critical Data Studies

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Agostinho, Daniela. “The Optical Unconscious of Big Data: Datafication of Vision and Care for Unknown Futures.” Big Data & Society, vol. 6, no. 1, Jan. 2019. (Crossref), doi:10.1177/2053951719826859.
Borgman, Christine L. “Research Data: Who Will Share What, with Whom, When, and Why?” SSRN Electronic Journal, 2010, doi:10.2139/ssrn.1714427.
---. “The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy.” Proceedings of the Association for Information Science and Technology, vol. 53, no. 1, 2016, pp. 1–10. (Crossref), doi:10.1002/pra2.2016.14505301057.
boyd, danah, and Kate Crawford. “Critical Questions for Big Data.” Information, Communication & Society, vol. 15, no. 5, June 2012, pp. 662–79. (Crossref), doi:10.1080/1369118x.2012.678878.
Casumbal-Salazar, Iokepa. “A Fictive Kinship: Making ‘Modernity,’ ‘Ancient Hawaiians,’ and the Telescopes on Mauna Kea.” Native American and Indigenous Studies, vol. 4, no. 2, 2017, pp. 1–30. JSTOR, doi:10.5749/natiindistudj.4.2.0001.
Christen, Kimberly. “Does Information Really Want to Be Free? Indigenous Knowledge Systems and the Question of Openness.” International Journal of Communication, vol. 6, Dec. 2015, pp. 2870–93. Zotero,
Dalton, Craig M., et al. “Critical Data Studies: A Dialog on Data and Space.” Big Data & Society, vol. 3, no. 1, 2016, p. 9, doi:10.1177/2053951716648346.
Ekbia, Hamid, et al. “Big Data, Bigger Dilemmas: A Critical Review.” Journal of the Association for Information Science and Technology, vol. 66, no. 8, Aug. 2015, pp. 1523–45. (Crossref), doi:10.1002/asi.23294.
Genovese, Taylor R. The New Right Stuff: Social Imaginaries of Outer Space and the Capitalist Accumulation of the Cosmos. Northern Arizona University, July 2017, doi:10.31235/
Gillespie, Tarleton. “The Relevance of Algorithms.” Media Technologies, edited by Tarleton Gillespie et al., The MIT Press, 2014, pp. 167–94. (Crossref), doi:10.7551/mitpress/9780262525374.003.0009.
Gitelman, Lisa, editor. “Raw Data” Is an Oxymoron. The MIT Press, 2013.
Iliadis, Andrew, and Federica Russo. “Critical Data Studies: An Introduction.” Big Data & Society, vol. 3, no. 2, Dec. 2016. (Crossref), doi:10.1177/2053951716674238.
Johnston, Sean F. A History of Light and Colour Measurement: Science in the Shadows. CRC Press, 2001. Library of Congress ISBN, doi:10.1201/9781420034776.
Kerssens, Niels. “De-Agentializing Data Practices: The Shifting Power of Metaphor in 1990s Discourses on Data Mining.” Journal of Cultural Analytics, 2019. (Crossref), doi:10.22148/16.037.
Kessler, Elizabeth A. Picturing the Cosmos: Hubble Space Telescope Images and the Astronomical Sublime. University of Minnesota Press, 2012. Open WorldCat,
Kitchin, Rob. “Big Data, New Epistemologies and Paradigm Shifts.” Big Data & Society, vol. 1, no. 1, July 2014. (Crossref), doi:10.1177/2053951714528481.
Levy, Karen EC, and David Merritt Johns. “When Open Data Is a Trojan Horse: The Weaponization of Transparency in Science and Governance.” Big Data & Society, vol. 3, no. 1, Jan. 2016. (Crossref), doi:10.1177/2053951715621568.
McCray, W. Patrick. “‘Beautiful and Cantankerous Instruments’: Telescopes, Technology, and Astronomy’s Changing Practice.” Experimental Astronomy, vol. 25, no. 1–3, Aug. 2009, pp. 79–89. (Crossref), doi:10.1007/s10686-009-9138-9.
---. “The Biggest Data of All: Making and Sharing a Digital Universe.” Osiris, vol. 32, no. 1, Sept. 2017, pp. 243–63. (Crossref), doi:10.1086/693912.
McQuillan, Dan. “Data Science as Machinic Neoplatonism.” Philosophy & Technology, vol. 31, no. 2, June 2018, pp. 253–72. (Crossref), doi:10.1007/s13347-017-0273-3.
Murillo, Luis Felipe R., et al. “Partial Perspectives in Astronomy: Gender, Ethnicity, Nationality and Meshworks in Building Images of the Universe and Social Worlds.” Interdisciplinary Science Reviews, vol. 37, no. 1, Mar. 2012, pp. 36–50. (Crossref), doi:10.1179/0308018812z.0000000003.
Prescod-Weinstein, Chanda. Decolonizing Science by Reconstructing Observers. Critical Histories and Activist Futures: Science, Medicine and Racial Violence, Yale University, New Haven, CT.
Redfield, Peter. “The Half-Life of Empire in Outer Space.” Social Studies of Science, vol. 32, no. 5–6, Dec. 2002, pp. 791–825. (Crossref), doi:10.1177/030631270203200508.
Ribes, David. “STS, Meet Data Science, Once Again.” Science, Technology, & Human Values, vol. 44, no. 3, Sept. 2018, pp. 514–539, doi:10.1177/0162243918798899.
Scroggins, Michael J., et al. “Thorny Problems in Data (-Intensive) Science.” Publications of the UCLA Center for Knowledge Infrastructures, Oct. 2019.,
Scroggins, Michael, and Irene Pasquetto. “Labor Out of Place: On the Varieties and Valences of (In)Visible Labor in Data-Intensive Science.” Publications of the UCLA Center for Knowledge Infrastructures, May 2019.,
Thornham, Helen, and Edgar Gómez Cruz. “Hackathons, Data and Discourse: Convolutions of the Data (Logical).” Big Data & Society, vol. 3, no. 2, Dec. 2016. (Crossref), doi:10.1177/2053951716679675.
Vaidhyanathan, Siva. “Critical Information Studies: A Bibliographic Manifesto.” SSRN Electronic Journal, 2005. (Crossref), doi:10.2139/ssrn.788984.
Van Dijck, Jose. “Datafication, Dataism and Dataveillance: Big Data between Scientific Paradigm and Ideology.” Surveillance & Society, vol. 12, no. 2, May 2014, pp. 197–208. (Crossref), doi:10.24908/ss.v12i2.4776.
Vertesi, Janet. Seeing like a Rover: How Robots, Teams, and Images Craft Knowledge of Mars. The University of Chicago Press, 2015.
Vertesi, Janet, and Paul Dourish. “The Value of Data: Considering the Context of Production in Data Economies.” Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work - CSCW ’11, ACM Press, 2011, p. 533. (Crossref), doi:10.1145/1958824.1958906.