Care-ful data studies: or, what do we see, when we look at datafied societies through the lens of care?

References

• Avlona, N. R., & Shklovski, I. (2024). Torquing patients into data: Enactments of care for, with and about medical data in algorithmic systems. Information, Communication & Society.
   Google Scholar
• Baker, K. S., & Karasti, H. (2018). Data care and its politics: Designing for local collective data management as a neglected thing. Proceedings of the 15th Participatory Design Conference on Full Papers - PDC ‘18, 1–12. https://doi.org/10.1145/3210586.3210587.
   Google Scholar
• Barad, K. (2007). Meeting the universe halfway: Quantum physics and the entanglement of matter and meaning. Duke University Press.
   Google Scholar
• Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity.
   Google Scholar
• Bennett, C. L., Rosner, D. K., & Taylor, A. S. (2020). The care work of access. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3313831.3376568.
   Google Scholar
• boyd, d., & Crawford, K. (2012). Critical questions for big data. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878
   Web of Science ®Google Scholar
• Browne, S. (2015). Dark matters: On the surveillance of blackness. Duke University Press. https://doi.org/10.1215/9780822375302.
   Google Scholar
• The Care Collective, Chatzidakis, A., Hakim, J., Littler, J., Rottenberg, C., & Segal, L. (Eds.). (2020). The care manifesto: The politics of interdependence. Verso Books.
   Google Scholar
• Collins, P. H. (1990). Black feminist thought: Knowledge, consciousness, and the politics of empowerment. Unwin Hyman.
   Google Scholar
• Cozza, M. (2023). Performing the care crisis through the datafication of elderly welfare care. Information, Communication & Society, 0(0), 1–9. https://doi.org/10.1080/1369118X.2023.2255639
   Google Scholar
• Criado, T. S., & Rodríguez-Giralt, I. (2016). Caring through design? In C. Bates, R. Imrie, & K. Kullman (Eds.), Care and design (pp. 198–218). John Wiley.
   Google Scholar
• Crooks, R., & Currie, M. (2021). Numbers will not save US: Agonistic data practices. The Information Society, 37(4), 201–213. https://doi.org/10.1080/01972243.2021.1920081
   Web of Science ®Google Scholar
• Dalton, C. M., Taylor, L., & Thatcher, J. (2016). Critical data studies: A dialog on data and space. Big Data & Society, 3(1), 1–9. https://doi.org/10.1177/2053951716648346
   Web of Science ®Google Scholar
• Dalton, C. M., & Thatcher, J. (2014). What Does A Critical Data Studies Look Like, And Why Do We Care? Space and Society. https://www.societyandspace.org/articles/what-does-a-critical-data-studies-look-like-and-why-do-we-care
   Google Scholar
• Davies, S., & Holmer, C. (2024). Care, collaboration, and service in academic data work: Biocuration as ‘academia otherwise’. Information, Communication & Society.
   Google Scholar
• D’Ignazio, C., Cruxên, I., Suárez Val, H., Martinez Cuba, A., García-Montes, M., Fumega, S., Suresh, H., & So, W. (2022). Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence. Patterns, 3(7), 100530. https://doi.org/10.1016/j.patter.2022.100530
   PubMedGoogle Scholar
• D’Ignazio, C., & Klein, L. F. (2020). Data feminism. The MIT Press. https://data-feminism.mitpress.mit.edu/
   Google Scholar
• Dimas, G. L., Goldkind, L., & Konrad, R. (2023). Big ideas, small data: Opportunities and challenges for data science and the social services sector. Big Data & Society, 10(1), 1–5. https://doi.org/10.1177/20539517231171051
   Web of Science ®Google Scholar
• Edwards, P. N., Mayernik, M. S., Batcheller, A. L., Bowker, G. C., & Borgman, C. L. (2011). Science friction: Data, metadata, and collaboration. Social Studies of Science, 41(5), 667–690. https://doi.org/10.1177/0306312711413314
   PubMed Web of Science ®Google Scholar
• Eubanks, V. (2017). Automating inequality: How high-tech tools profile, police, and punish the poor (1st ed.). St. Martin’s Press.
   Google Scholar
• Fisher, B., & Tronto, J. C. (1990). Toward a feminist theory of caring. In E. Abel, & M. Nelson (Eds.), Circles of care (pp. 36–54). SUNY Press.
   Google Scholar
• Fleck, L. (1980 [1935]). Entstehung und entwicklung einer wissenschaftlichen tatsache: Einführung in die lehre vom denkstil und denkkollektiv. Suhrkamp.
   Google Scholar
• Fraser, N. (2016). Contradictions of capital and care. New Left Review, 100, 99–117.
   Google Scholar
• Gallistl, V., & von Laufenberg, R. (2023). Caring for data in later life – the datafication of ageing as a matter of care. Information, Communication & Society. https://doi.org/10.1080/1369118X.2023.2279554.
   Google Scholar
• Gilligan, C. (1982). In a different voice: Psychological theory and women’s development. Harvard University Press.
   Google Scholar
• Gitelman, L. (2013). Raw data Is an oxymoron. MIT Press.
   Google Scholar
• Graham, M. (2007). The ethics of care, black women and the social professions: Implications of a New analysis. Ethics and Social Welfare, 1(2), 194–206. https://doi.org/10.1080/17496530701450372
   Google Scholar
• Gray, J., & Witt, A. (2021). A feminist data ethics of care for machine learning: The what, why, who and how. First Monday. https://doi.org/10.5210/fm.v26i12.11833.
   Google Scholar
• Gray, M. L., & Suri, S. (2019). Ghost work: How to stop silicon valley from building a new global underclass. Houghton Mifflin Harcourt.
   Google Scholar
• Haraway, D. J. (2016). Staying with the trouble: Making kin in the chthulucene. Duke University Press.
   Google Scholar
• Hepp, A., Jarke, J., & Kramp, L. (2022). New Perspectives in Critical Data Studies. Palgrave Macmillan Cham. https://link.springer.com/book/9783030961794
   Google Scholar
• Hossain, R. S. (1905). Sultana’s dream. The Indian Ladies’ Magazine. https://digital.library.upenn.edu/women/sultana/dream/dream.html
   Google Scholar
• Iliadis, A., & Russo, F. (2016). Critical data studies: An introduction. Big Data & Society, 3(2), https://doi.org/10.1177/2053951716674238
   Web of Science ®Google Scholar
• Jarke, J., & Büchner, S. (2024). Who cares about data? Data care arrangements in everyday organisational practice. Information, Communication & Society.
   Google Scholar
• Jarke, J., & Bates, J. (forthcoming). Dialogues in data power: Shifting response-abilities in a datafied world. Bristol University Press.
   Google Scholar
• Kaziunas, E., Ackerman, M. S., Lindtner, S., & Lee, J. M. (2017). Caring through Data. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2260–2272. https://doi.org/10.1145/2998181.2998303.
   Google Scholar
• Kennedy, H. (2018). Living with data: Aligning data studies and data activism through a focus on everyday experiences of datafication. Krisis. Journal for Contemporary Philosophy, 1, Article 1.
   Google Scholar
• Kennedy, H., & Bates, J. (2017). Data power in material contexts: Introduction. Television & New Media, 18(8), 701–705. https://doi.org/10.1177/1527476417720034
   Web of Science ®Google Scholar
• Kitchin, R., & Lauriault, T. (2014). Towards critical data studies: Charting and unpacking data assemblages and their work. Social Science Research Network. https://papers.ssrn.com/abstract = 2474112
   Google Scholar
• Klostermann, J., Funk, L., Symonds-Brown, H., Cherba, M., Ceci, C., Armstrong, P., & Pols, J. (2022). The problems with care: A feminist care scholar retrospective. Societies, 12(2), 52. https://doi.org/10.3390/soc12020052
   Web of Science ®Google Scholar
• Kocksch, L., Korn, M., Poller, A., & Wagenknecht, S. (2018). Caring for IT security. Proceedings of the ACM on Human-Computer Interaction, 2, 1–92. https://doi.org/10.1145/3274361
   Google Scholar
• Latour, B. (2004). Why has critique run out of steam? From matters of fact to matters of concern. Critical Inquiry, 30(2), 225–248. https://doi.org/10.1086/421123
   Web of Science ®Google Scholar
• Lindén, L. (2021). Moving evidence: Patients’ groups, biomedical research, and affects. Science, Technology, & Human Values, 46(4), 815–838. https://doi.org/10.1177/0162243920948126
   Web of Science ®Google Scholar
• livingstone, j. (2018, June 27). How vision metaphors exclude the blind. Medium. https://medium.com/s/the-grind/how-vision-metaphors-exclude-the-blind-e7c1cd1e4ad8
   Google Scholar
• López-Gómez, D., & Rodríguez-Giralt, I. (2024). The relational, emotional and infrastructural work of older people in pandemic digital interventions. Information, Communication & Society. https://doi.org/10.1080/1369118X.2024.2311245
   Google Scholar
• Loukissas, Y. A. (2019). All data are local: Thinking critically in a data-driven society. The MIT Press.
   Google Scholar
• Lupton, D. (2020a). Data selves: More-than-human perspectives. Polity.
   Google Scholar
• Lupton, D. (2020b). Thinking With care about personal data profiling: A more-than-human approach. International Journal of Communication, 14(0), 3165–3183.
   Google Scholar
• Martin, A., Myers, N., & Viseu, A. (2015). The politics of care in technoscience. Social Studies of Science, 45(5), 625–641. https://doi.org/10.1177/0306312715602073
   PubMed Web of Science ®Google Scholar
• McQuillan, D. (2022). Resisting AI: An anti-fascist approach to artificial intelligence. Bristol University Press.
   Google Scholar
• Milan, S., & Treré, E. (2020). The rise of the data poor: The COVID-19 pandemic seen from the margins. Social Media + Society, 6(3), https://doi.org/10.1177/2056305120948233
   PubMed Web of Science ®Google Scholar
• Mol, A. (2008). The logic of care: Health and the problem of patient choice. Routledge.
   Google Scholar
• Mooten, N. (2015). Toward a postcolonial ethics of care: In what interest, to regulate what sort of relationships, is the globe evoked? Gayatri Spivak. academia.edu. https://www.academia.edu/18028845/Toward_a_Postcolonial_Ethics_of_Care
   Google Scholar
• Mudliar, P. (2024). Representing the adarsh biometric balak or the ideal biometric child: Locating children’s care work in the aadhaar welfare state. Information, Communication & Society. https://doi.org/10.1080/1369118X.2024.2305148
   Google Scholar
• Murphy, M. (2015). How Does Technoscience Dream? Histories of the Future. http://histscifi.com/essays/murphy/sultanas-dream
   Google Scholar
• Narayan, U. (1995). Colonialism and Its others: Considerations on rights and care discourses. Hypatia, 10(2), 133–140. https://doi.org/10.1111/j.1527-2001.1995.tb01375.x
   Google Scholar
• Neff, G., Tanweer, A., Fiore-Gartland, B., & Osburn, L. (2017). Critique and contribute: A practice-based framework for improving critical data studies and data science. Big Data, 5(2), 85–97. https://doi.org/10.1089/big.2016.0050
   PubMed Web of Science ®Google Scholar
• Newman-Griffis, D., Rauchberg, J. S., Alharbi, R., Hickman, L., & Hochheiser, H. (2023). Definition drives design: Disability models and mechanisms of bias in AI technologies. First Monday. https://doi.org/10.5210/fm.v28i1.12903.
   Google Scholar
• Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.
   Google Scholar
• Pinel, C., Prainsack, B., & McKevitt, C. (2020). Caring for data: Value creation in a data-intensive research laboratory. Social Studies of Science, 50(2), 175–197. https://doi.org/10.1177/0306312720906567
   PubMed Web of Science ®Google Scholar
• Pink, S., Berg, M., Lupton, D., & Ruckenstein, M. (Eds.). (2022). Everyday automation: Experiencing and anticipating emerging technologies. Routledge. https://doi.org/10.4324/9781003170884
   Google Scholar
• Powell, A. B., Ustek-Spilda, F., Lehuedé, S., & Shklovski, I. (2022). Addressing ethical gaps in ‘technology for good’: Foregrounding care and capabilities. Big Data & Society, 9(2), 1–12. https://doi.org/10.1177/20539517221113774
   Web of Science ®Google Scholar
• Puig de la Bellacasa, M. (2011). Matters of care in technoscience: Assembling neglected things. Social Studies of Science, 41(1), 85–106. https://doi.org/10.1177/0306312710380301
   PubMed Web of Science ®Google Scholar
• Puig de la Bellacasa, M. (2017). Matters of care: Speculative ethics in more than human worlds. University of Minnesota Press.
   Google Scholar
• Ratner, H., & Ruppert, E. (2019). Producing and projecting data: Aesthetic practices of government data portals. Big Data & Society. https://doi.org/10.1177/2053951719853316.
   Google Scholar
• Ruckenstein, M. (2023). The feel of algorithms. University of California Press. https://doi.org/10.1525/9780520394568
   Google Scholar
• Sambasivan, N., Kapania, S., Highfill, H., Akrong, D., Paritosh, P., & Aroyo, L. M. (2021). “Everyone wants to do the model work, not the data work”: data cascades in high-stakes AI. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3411764.3445518
   Google Scholar
• Schäfer, M. T., & van Es, K. (Eds.). (2017). The datafied society. Studying culture through data. Amsterdam University Press. https://doi.org/10.5117/9789462981362
   Google Scholar
• Ślosarski, B. (2024). Data phronesis and the duality of care in the air quality data politics. Information, Communication & Society, 1–16. https://doi.org/10.1080/1369118X.2023.2296926
   Web of Science ®Google Scholar
• Stevens, M., & Beaulieu, A. (2023). A careful approach to artificial intelligence: The struggles with epistemic responsibility of healthcare professionals. Information, Communication & Society, 0(0), 1–16. https://doi.org/10.1080/1369118X.2023.2289971
   Google Scholar
• Taylor, J., & Kukutai, T. (2016). Indigenous data sovereignty. ANU Press. https://doi.org/10.22459/CAEPR38.11.2016
   Google Scholar
• Toombs, A. L., Bardzell, S., & Bardzell, J. (2015). The proper care and feeding of hackerspaces. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 629–638. https://doi.org/10.1145/2702123.2702522
   Google Scholar
• van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance & Society, 12(2), 197–208. https://doi.org/10.24908/ss.v12i2.4776
   Google Scholar
• Zakharova, I. (2022). Understanding data studies—A conceptual and methodological inquiry into research on datafication. Universität Bremen. https://doi.org/10.26092/elib/1675
   Google Scholar
• Zakharova, I., & Jarke, J. (2022). Educational technologies as matters of care. Learning, Media and Technology, 47(1), 95–108. https://doi.org/10.1080/17439884.2021.2018605
   Web of Science ®Google Scholar