Home > Events > DINNER. Yana Shliabanska, Javier Areal Vélez
Image provided by Yana Shliabanska
26 October 2026, 20:00
Grüner Salon der Volksbühne
Rosa-Luxemburg-Platz 2, 10178 Berlin
On 26 October 2026, DAAD Artists-in-Berlin Program and Kyiv Contemporary Music Days present DINNER, a performance for motors, transducers, and subwoofers by Yana Shliabanska and Javier Areal Vélez.
The table is set. Twelve dishes wait beneath their lids.
The cutlery lies in its place. But the guests have not come. Or maybe they are here differently.
This evening, a dinner is served that cannot be tasted, only heard and felt.
In Ukrainian homes on Christmas Eve, a place is left at the table for those who are gone.
Perhaps sound — both concrete and imagined — is the only true evidence of presence.
The event is taking place at Grüner Salon der Volksbühne, Rosa-Luxemburg-Platz 2, Berlin.
Free admission, all welcome.
The event is part of the KCMD x DAAD program, which brings together DAAD Music & Sound Fellows and artists and cultural professionals from Ukraine to present collaborative sound projects they developed during their shared time in Berlin.
Yana Shliabanska (b. 1994) is a composer and sound artist, author of chamber and orchestral music, interactive sound installations, music for theatre and performance, and electroacoustic music. She studied in Kyiv and at IRCAM, Paris.
Music, she believes, holds more than sound: performative, visual, movement layers. Her pieces reach them through games, objects, bodies: a board-game score, a soloist between four saxophones, an iron as instrument. Through sound she speaks of absence and presence.
Javier Areal Vélez (b. 1985) is a composer, improviser, and cultural organizer. He has lived and worked in Berlin as a Music & Sound Fellow of the DAAD Artists-in-Berlin Program since 2026.
His recent artistic work cedes structural control to autonomous robots. His recent solo work focuses on the development of live electronic music based
on the superposition of (de)generative (poly)rhythms. He explores human–machine collaborations through the use of samples, synthesis, lighting and robots.
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