Message posted on 22/10/2024
Reminder: CFP - Practices and Materialities of Predictive Knowledge Systems’ at the STS-Hub 2025 Berlin
Dear colleagues, this is a quick reminder that we still welcome submissions to our panel on Practices and Materialities of Predictive Knowledge Systems at the STS-Hub 2025. Conference: STS-Hub 2025: Diffracting the Critical, Berlin, March 1114, 2025, conference website: https://sts-hub.de/25/ Convenors: Kevin Wiggert, Ingmar Mundt, Jana Pannier Panel description: Two actual developments can be observed in the production of knowledge: On the one hand, knowledge is becoming increasingly datafied and algorithmised. In addition, more and more knowledge is being collected in an anticipatory or predictive manner about future situations and conditions. This knowledge may be relevant to decision-making for actors and organisations but it remains highly speculative and contestable in ontological and epistemological terms, especially when taking their material backing into account. This panel will therefore focus less on existing approaches to future or anticipatory imaginaries. In taking a diffractive approach, differences and interferences between established and anticipatory or predictive forms of knowledge come into view, as well as emerging concrete practices and their materialities. Therefore, the aim of this panel is to examine these through the analytical lenses of (a) which knowledge about the future is made tangible or durable in the present and which material and temporal conditions are created for this and (b) for whom which ontological and epistemological challenges arise. This touches, for example, on questions of anticipatory or predictive infrastructures, modes and practices of anticipating, enacting, (re)organising, and contesting predictive knowledge systems, or governance approaches to deal with future materialities. We invite researchers of Science and Technology Studies and Critical Data and Algorithm Studies as well as related fields to send us abstracts of not more than 200 words (and a short bio of around 75 words) which address, but are not limited to, the following questions: How do predictive knowledge systems shape current practices, and what material infrastructures support them? What epistemological and/or ontological challenges arise when making speculative knowledge durable in the present? What tensions exist between established knowledge and predictive knowledge, and how are they negotiated? How are predictive knowledge systems enacted, made sense of, and contested in practice? How do predictive knowledge systems reconfigure power relations, and who benefits or is excluded? How do the material and temporal conditions of predictive knowledge systems influence the governance or practices of dealing with anticipatory knowledge? How are specific predictive or anticipatory artifacts (e.g. predictive algorithms, prototypes, scenario analysis etc.) constituted, stabilised or entangled in future-orientated practices? How is data gathered, constituted, interpreted, and used within predictive knowledge systems to make predictions towards the future? Please send your abstract to kevin.wiggert@tu-berlin.de and jana.pannier@wzb.eu until October 31, 2024. We are looking forward to your submissions! If you have any questions, please do not hesitate to contact us. Best regards, Kevin, Ingmar, and Jana -- Ingmar Mundt Wissenschaftlicher Mitarbeiter Weizenbaum-Institut e.V. Hardenbergstrae 32 \\ 10623 Berlin Tel.: +49 30 700141 051 E-Mail: ingmar.mundt@weizenbaum-institut.de www.weizenbaum-institut.de \\ Twitter \\ LinkedIn \\ Mastodon Vorstand und Impressum \\ Transparenz \\ Datenschutz Vereinssitz und Gerichtsstand: Berlin \\ Amtsgericht Charlottenburg \\ VR 37973 B _______________________________________________ EASST's Eurograd mailing list Eurograd (at) lists.easst.net Unsubscribe or edit subscription options: http://lists.easst.net/listinfo.cgi/eurograd-easst.net Meet us via https://twitter.com/STSeasst Report abuses of this list to Eurograd-owner@lists.easst.netview formatted text
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