Ubermorgen
artist duo

UBERMORGEN is a Swiss-Austrian digital art duo founded in 1995 by Liz Haas, known as lizvlx, and Luzius Bernhard, also credited in earlier works as Hans Bernhard. Emerging from the 1990s net.art and Internet art scenes, the duo became known for projects that combine conceptual art, media hacking, software, performance, installation and online intervention.
UBERMORGEN's work frequently uses the language and interfaces of corporations, legal systems, state institutions and online platforms. Their best-known projects include Voteauction (2000), an online intervention that presented itself as a marketplace for buying and selling votes during the 2000 United States presidential election; the EKMRZ Trilogy, consisting of Google Will Eat Itself, Amazon Noir and The Sound of eBay; and later works involving machine learning, blockchain systems and artificial intelligence.
The duo live and work in Basel, S-chanf near St. Moritz and Vienna. Haas and Bernhard have taught at the Academy of Media Arts Cologne and are professors in the Digital Arts department at the University of Applied Arts Vienna.
History and work
Early net.art and online work
UBERMORGEN originated in the 1990s context of net.art, a loose international movement of artists working directly with the Internet as artistic medium, distribution channel and social space. Their early projects were shown primarily online and were connected to the broader development of Internet art and digital art in Europe and North America.
Luzius Bernhard was also involved with etoy, whose campaigns and online actions became important reference points for later forms of tactical media and Internet-based cultural intervention.
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This entry incorporates text from “Ubermorgen” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.