(un)real data ☁️ – (🧊)real effects

(un)real data ☁️ – (🧊)real effects explores the inherent ambiguity of data as an opportunity to not only describe the world but strategically intervene in it. Is it possible to create specific real-world outcomes by modifying our data streams? Can we intentionally produce data to interact with an algorithmic environment that is opaque, elusive and at the same time all-encompassing? In this book, the authors and artists explore the production of unreal data as acts of resistance and opposition, and as attempts to carve out small and often temporary spaces of agency and autonomy when faced with systems that seem to leave little room for imagination and choice.

With texts by Régine Debatty, Xiaowei R. Wang, Günseli Yalçınkaya, Milia Xin Bi and Thomas Spies, artworks by Simon Weckert and Total Refusal, and a collaborative project by Selena Savić, Gordan Savičić and !Mediengruppe Bitnik.