Making Arguments with Data

Savic, Selena; Martins, Yann Patrick

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	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, Soziologie, Anthropologie
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