Savic, Selena
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Savic, Selena
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- PublikationMaking 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 [in: Weizenbaum Journal of the Digital Society]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
- PublikationMaking Arguments with Data(09.06.2022) Savic, Selena; Martins, Yann PatrickWhether 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
- PublikationArticulating nomadic identities of radio signals(Revistes científiques de la Universitat de Barcelona, 25.02.2022) Savic, Selena [in: Matter: Journal of New Materialist Research]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
- PublikationModulating 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 [in: Proceedings of Polititcs of the machines - Rogue Research 2021, Berlin, Germany]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