Making Arguments with Data
dc.contributor.author | Savic, Selena | |
dc.contributor.author | Martins, Yann Patrick | |
dc.date.accessioned | 2023-08-29T12:09:27Z | |
dc.date.available | 2023-08-29T12:09:27Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Whether 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.sponsorship | This 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.citation | Savic, 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.doi | https://doi.org/10.34669/wi.cp/4.19 | |
dc.identifier.eissn | 2510-7666 | |
dc.identifier.uri | https://www.weizenbaum-library.de/handle/id/71 | |
dc.language.iso | eng | |
dc.publisher | Weizenbaum Institute | |
dc.relation.ispartof | https://doi.org/10.34669/WI.CP/4 | |
dc.relation.ispartofseries | Weizenbaum Conference Proceedings | |
dc.rights | open access | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Sociology & anthropology | en |
dc.subject | Sociology of Science, Sociology of Technology, Research on Science and Technology | en |
dc.subject | artificial intelligence | en |
dc.subject | data | en |
dc.subject | visualization | en |
dc.subject | digitalization | en |
dc.subject | decision making | en |
dc.subject | automation | en |
dc.subject | Soziologie, Anthropologie | de |
dc.subject | visual data | de |
dc.subject | situated knowledge | de |
dc.subject | Machine Learning | de |
dc.subject | maschinelles Lernen | de |
dc.subject | Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie | de |
dc.subject | künstliche Intelligenz | de |
dc.subject | Daten | de |
dc.subject | Visualisierung | de |
dc.subject | Digitalisierung | de |
dc.subject | Entscheidungsfindung | de |
dc.subject | Automatisierung | de |
dc.subject.ddc | 300 Sozialwissenschaften | |
dc.subject.ddc | 004 Informatik | |
dc.title | Making Arguments with Data | |
dc.type | ConferencePaper | |
dc.type.status | publishedVersion | |
dcmi.type | Text | |
dcterms.bibliographicCitation.booktitle | Proceedings of the Weizenbaum Conference 2022 | |
dcterms.bibliographicCitation.originalpublisherplace | Berlin | |
dcterms.bibliographicCitation.pageend | 208 | |
dcterms.bibliographicCitation.pagestart | 199 |
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