Making Arguments with Data
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DOI der Originalpublikation
Projekttyp
angewandte Forschung
Projektbeginn
01.09.2022
Projektende
31.08.2023
Projektstatus
abgeschlossen
Projektkontakt
Savic, Selena
Projektmanager:in
Beschreibung
Zusammenfassung
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. With this teaching research project, we propose an approach to practicing ethics when working with large datasets and designing data representations. We use and continuously re-programme 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. We hold that the main challenge to digital ethics 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, this approach to data and networks enables a situated critique of datafication and correlationism from within.
Während FHNW Zugehörigkeit erstellt
Yes
Zukunftsfelder FHNW
Hochschule
Hochschule für Gestaltung und Kunst Basel FHNW
Institut
Experimentelles Design und Medien-Kulturen
Finanziert durch
Fachhochschule Nordwestschweiz FHNW, Lehrfonds
Projektpartner
Auftraggeberschaft
SAP Referenz
Schlagwörter
visual data study
situated knowledge
data observatories
machine learning
correlationism
critique from within
situated knowledge
data observatories
machine learning
correlationism
critique from within
Fachgebiet (DDC)
Versionsgeschichte
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Version | Datum | Zusammenfassung |
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2* | 2022-12-15 11:24:59 | Forschungsteam correction |
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