Making Arguments with Data
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
09.06.2022
Typ der Arbeit
Studiengang
Typ
06 - Präsentation
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Berlin
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Whether we are discussing measures in order to ‘flatten the curve’ in the ongoing pandemic, or what to wear in face of the most recent weather forecast, we make arguments based on patterns and trends observed in data. What makes these patterns observable? Making arguments with data requires critical engagement with datasets, as well as computational processes to gather data, to organize and model their relationships. This article presents an approach to practicing ethics when working with large datasets and designing data representations. The arguments we make are based on the development and use of a computational instrument, and working with digital archives. We programmed and used web-based interfaces to sort, organize and explore a community-ran 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, and that knowledge of radio signals or any other technical artefact transgresses domains. We propose visual explorations of complex data structures that enable storytelling and an understanding of datasets that resists extraction of discrete identities from the data. 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 the unbased 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.
Schlagwörter
visual data study, situated knowledge, data observatory, machine learning, correlationism
Fachgebiet (DDC)
700 - Künste und Unterhaltung
Veranstaltung
Weizenbaum Conference 2022: Practicing Sovereignty. Interventions for open digital futures
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
09.06.2022
Enddatum der Konferenz
10.06.2022
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Begutachtung
Peer-Review des Abstracts
Open Access-Status
Lizenz
Zitation
SAVIC, Selena und Yann Patrick MARTINS, 2022. Making Arguments with Data. Weizenbaum Conference 2022: Practicing Sovereignty. Interventions for open digital futures. Berlin. 9 Juni 2022. Verfügbar unter: https://irf.fhnw.ch/handle/11654/34724