Institute of Experimental Design and Media Cultures

Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/19

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2021 - 20232

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Thema: search.filters.subject.automation

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  • Vorschaubild
    Publikation
    Making Arguments with Data
    (Weizenbaum Institute for the Networked Society - The German Internet Institute, 02/2023) Savic, Selena; Martins, Yann Patrick; Herlo. Bianca; Irrgang, Daniel
    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.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Predictive Tech in Scaling Material Urban Commons
    (26.03.2021) Bedö, Viktor; Choi, Jaz Hee-jeong
    Scaling Material Urban Commons is a speculative city-making project investigating automated logistics for commoning material urban commons, such as rescued food. It postulates that some forms of material commons require different forms of beyond-hyperlocal scale commoning. The project critically investigates and prototypes technological and sociotechnical conditions for city-wide commoning of material urban commons, using a predictive-algorithm-based system emulator that orchestrates pickup and drop-off of rescued food in Basel and London. Introducing predictive technology shifts the site of commoning closer towards an algorithm- driven platform, which raises following key questions: What frictions emerge from changing scale in commoning? How to reconcile predictive technologies with local, idiosyncratic food cultures? How to engage in commoning with algorithmic agents in participatory settings? By addressing these questions, the project aims at creating imaginaries of commoning-based smart city alternatives.
    06 - Präsentation