Making Arguments with Data

dc.contributor.authorSavic, Selena
dc.contributor.authorMartins, Yann Patrick
dc.date.accessioned2023-08-29T12:09:27Z
dc.date.available2023-08-29T12:09:27Z
dc.date.issued2023
dc.description.abstractWhether we are discussing measures in order to "flatten the curve" in a pandemic or what to wear given the most recent weather forecast, we base arguments on patterns observed in data. This article presents an approach to practicing ethics when working with large datasets and designing data representations. We programmed and used web-based interfaces to sort, organize, and explore a community-run archive of radio signals. Inspired by feminist critique of technoscience and recent problematizations of digital literacy, we argue that one can navigate machine learning models in a multi-narrative manner. We hold that the main challenge to sovereignty comes from lingering forms of colonialism and extractive relationships that easily move in and out of the digital domain. Countering both narratives of techno-optimism and the universalizing critique of technology, we discuss an approach to data and networks that enables a situated critique of datafication and correlationism from within.en
dc.description.sponsorshipThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“)
dc.identifier.citationSavic, S., & Martins, Y. P. (2023). Making Arguments with Data. Proceedings of the Weizenbaum Conference 2022: Practicing Sovereignty, 199–208. https://doi.org/10.34669/WI.CP/4.19
dc.identifier.doihttps://doi.org/10.34669/wi.cp/4.19
dc.identifier.eissn2510-7666
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/71
dc.language.isoeng
dc.publisherWeizenbaum Institute
dc.relation.ispartofhttps://doi.org/10.34669/WI.CP/4
dc.relation.ispartofseriesWeizenbaum Conference Proceedings
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSociology & anthropologyen
dc.subjectSociology of Science, Sociology of Technology, Research on Science and Technologyen
dc.subjectartificial intelligenceen
dc.subjectdataen
dc.subjectvisualizationen
dc.subjectdigitalizationen
dc.subjectdecision makingen
dc.subjectautomationen
dc.subjectSoziologie, Anthropologiede
dc.subjectvisual datade
dc.subjectsituated knowledgede
dc.subjectMachine Learningde
dc.subjectmaschinelles Lernende
dc.subjectWissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologiede
dc.subjectkünstliche Intelligenzde
dc.subjectDatende
dc.subjectVisualisierungde
dc.subjectDigitalisierungde
dc.subjectEntscheidungsfindungde
dc.subjectAutomatisierungde
dc.subject.ddc300 Sozialwissenschaften
dc.subject.ddc004 Informatik
dc.titleMaking Arguments with Data
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.booktitleProceedings of the Weizenbaum Conference 2022
dcterms.bibliographicCitation.originalpublisherplaceBerlin
dcterms.bibliographicCitation.pageend208
dcterms.bibliographicCitation.pagestart199
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