Institute of Experimental Design and Media Cultures

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

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  • Vorschaubild
    Publikation
    Radio Explorations. Architectonic Studies of Electromagnetic Milieux
    (transcript, 2024) Savic, Selena
    Radio signals keep making material, informational, political, and social connections in this world. Exploring these signals architectonically, the contributors engage with the situatedness of radio signal recordings in nature and with knowledge implied in radio communication. Rooted in experimental design and data feminism, the book presents innovative tools for navigating data by spanning media theory, information studies, and feminist new materialism. This offers an intersectional and post-disciplinary approach to computation, classification, and search that is accessible to artists, technologists, and researchers – facilitating interdisciplinary collaboration and deepening the understanding of information technologies.
    03 - Sammelband
  • Vorschaubild
    Publikation
    Making Arguments with Data: Resisting Appropriation and Assumption of Access / Reason in Machine Learning Training Processes
    (Weizenbaum Institute for the Networked Society, 30.10.2023) Savic, Selena; Martins, Yann Patrick
    This article presents an approach to practicing ethics when working with large datasets and designing data representations. Inspired by feminist critique of technoscience and recent problematizations of digital literacy, we argue that machine learning models can be navigated in a multi-narrative manner when access to training data is well articulated and understood. We programmed and used web-based interfaces to sort, organize, and explore a community-run digital archive of radio signals. An additional perspective on the question of working with datasets is offered from the experience of teaching image synthesis with freely accessible online tools. We hold that the main challenge to social transformations related to digital technologies comes from lingering forms of colonialism and extractive relationships that easily move in and out of the digital domain. To counter both the unfounded narratives of techno-optimismand the universalizing critique of technology, we discuss an approachto data and networks that enables a situated critique of datafication and correlationism from within.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Modulating Matters of Computation, Modelling and Hyper-Separations
    (BCS Learning and Development, 17.09.2021) Savic, Selena; Miyazaki, Shintaro; Christensen, Michelle; Conradi, Florian; Søndergaard, Morten; Beloff, Laura; Choubassi, Hassan
    We engage in a conversation with critical ecofeminism, which proposed to transform the colonialism-racism-capitalism-patriarchalism induced environmental crisis by non-essentialist countering of oppressions and hyper-separations produced by human/nature dualism. We modulate the critical ecofeminist approach by countering a similar dualism, namely that of nature/technology. Furthermore, our theoretical balance-act has a praxis-oriented side: we believe that computation can be included in ecofeminist action. By providing alternative forms of engagement to instrumentalization, we trace pathways to different futures, countering the binary narratives of technology but also its moralizing of socio-cultural mediation. We take an intersectional approach to outcomes of computational modelling (simulations, visualisations, forecasts) and discuss the ecofeminist method of synthesis as a way to include different perspectives into computational processes. We work with two ‘modulated models’ that pay attention to assumptions, observations and thinking about urban commoning initiatives, and amateur knowledge of radio telecommunications. We aspire to provoke discussions about different modes of inclusion in communities and archives that are centred on shared, environment-friendly, solidarity oriented life-style and mutual care. Our approach engages with feminist arguments and inquiries into ways patriarchalism is embedded in our relationship to technoscience and engineering. We explore modes of resistance by proposing skilled and alternative uses of these techniques.
    04B - Beitrag Konferenzschrift
  • Publikation
    Techno-optimism and optimization in media architecture practice and theory
    (Routledge, 19.04.2023) Savic, Selena
    Media architecture community systematically explores the potentials of computation and digital media to intervene in form-finding, fabrication of buildings and urban data collection processes. Combining social media topic modelling techniques with the review of media architecture-related literature, I discuss methods to locate the media architecture community in social media, conduct initial discourse analysis and pursue a deeper investigation of the topics addressed by community. In the literature, media architecture is presented as an interactive set of technologies for a participative public life. And yet, while a dynamic facade increases possibilities for participation and creative expression, it also facilitates reframing participation as a technical problem. I position optimization and efficiency in media architecture discourse as a form of optimism and offer insights into its political implications. I propose to rethink the shortcut between optimism and optimization by tracing conceptual and professional relations that inform media architecture.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Common Objects / Gewöhnliche Objekte
    (Museum für Kommunikation Berlin, 27.08.2022) Savic, Selena; Savicic, Gordan; Miyazaki, Shintaro; Schneider, Birgit; Silvestrin, Daniela
    The present intervention is a temporary engagement with the exhibition Curious Communication. Unusual Objects and Stories from the Collection, which stages uncommon objects and rituals pertaining to telecommunication. We seek to complement this perspective with objects that are everyday, yet hidden in the heights of telecommunication masts and towers, such as 4G and 5G antennas, and satellite receptors. Proliferation naturalises them as mundane infrastructure, sometimes even mimicking nature. Antennas are objects that increasingly re-naturalise electromagnetism: engineered to facilitate communication between people, they put to use the disposition of metals to resonate with radio waves, picking up both human-made and natural emissions, and figuring in urban and rural landscapes to secure global interconnectivity.
    14 - Ausstellungsbeitrag
  • Publikation
    Pixels and Bandwidth: On Imaginaries of Travel in Data
    (Leo S. Olschki, 12/2022) Savic, Selena; Metzner-Szigeth, Andreas
    The imaginary of travelling in data traces interdisciplinary concerns for technical artefacts. Focusing on data collection on radio signals gathered by a community of radio amateurs and enthusiasts, informational tools – ‘data observatories’ – render signals commensurable through their different visual representations. What can pixel distribution in a sound spectrogram tell us about a radio signal? Following Haraway’s insistence on the importance and persistence of vision as an embodied gaze enabling a new doctrine of objectivity, this study proceeds by extracting and organizing radio signal qualities using a machine-learning algorithm to expose them again to the visual faculty of subjective observers. Vision and travel constitute methodical tools to unfold disciplinary concerns starting from specific data in a way that favours interactional expertise.
    04A - Beitrag Sammelband
  • Publikation
    Making Arguments with Data
    (09.06.2022) Savic, Selena; Martins, Yann Patrick
    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.
    06 - Präsentation
  • Vorschaubild
    Publikation
    Articulating nomadic identities of radio signals
    (Revistes científiques de la Universitat de Barcelona, 25.02.2022) Savic, Selena
    This article presents a new materialist approach to artificial neural networks, based on experimental research in categorization of data on radio signals. Picking up on Rossi Braidotti’s nomadic theory and a number of new materialist perspectives on informatics, the article presents identification of radio signals as a process of articulating identities with data: nomadic identities that are informed by all the others, always established anew. As a resistance to the dominant understanding of data as discreet, the experiments discussed here demonstrate a way to work with a digital archive in a materialist and non-essentialist way. The output of experiments, data observatories, shows the capacity of machine learning techniques to challenge fixed dichotomies, such as human/nature, and their role in the way we think of identities. A data observatory is a navigation apparatus which can be used to orient oneself in the vast landscape of data on radio transmissions based on computable similarity. Nomadic identities render materiality of radio signals as digital information.
    01A - Beitrag in wissenschaftlicher Zeitschrift