Workshop & panel: Relational Interfaces Design

/in /by

13 & 14 June 2024 | Het Nieuwe Instituut, Rotterdam 
Organized by Dark Matter Labs, The research project Charging the Commons at the Civic Interaction Design Research Group at the Amsterdam University of Applied Sciences and Zöop, in cooperation with the [urban interfaces] research group and the Focus Area Governing the Digital Society at Utrecht University.
The ecological crisis we currently face can arguably be traced to how we conceive of our relationships with the world around us, structured around human-centric ownership, control, and dominion. So how can we reimagine civics to recognise the deeply entangled relationships we humans have with each other, and with the more-than-human world, from living things to earth systems? And how can we imagine these relationships in the spirit of stewardship and commoning? These worldview shifts are the core mission of Radicle Civics at Dark Matter Labs.

Symposium Sea Mediations: Hydro-criticism and Tidal Thinking

/in /by

30-31 May 2024 | University of Amsterdam
Complete programme NOW ONLINE
Over the past decade, as part of a larger tendency in humanities, media studies has become ‘elemental’, i.e. the field has become attuned to its constituent parts, especially to the substances and substrates that compose media (Starosielski 2019). Media technologies, their materiality, hardware, and energy are connected with geophysical nature: nature affords and bears the weight of media culture.

RMeS Masterclass and Public Lecture: Not For You but For Them: Defusing and Reconfiguring TikTok’s Distortions of Time and Memory

/in /by

23 May 2024 | University of Amsterdam (CHANGED DATE)
Why do we lose track of time when browsing TikTok’s For You page? What’s happening when users slip into a near trance state as they flip through TikTok’s endless video feed? Who most benefits from the argument that TikTok’s AI algorithm really getsyou, sees you, knows you? This masterclass, led by artist and professor Ben Grosser, will challenge the prevailing mythologies about TikTok’s famed algorithmic feed.