Sharjah Art Foundation Unveils Two Vinyl Albums For Sharjah Biennial 16 Featuring Diverse Artists
Sharjah Art Foundation has introduced two unique vinyl records as part of the 16th Sharjah Biennial (SB16). These albums, titled "Only sounds that tremble through us" and "The Ancestral Well: Pulse to Terrain," are curated by a team of five international curators. The Biennial features over 190 artists and more than 200 new commissions, all centred around the theme "to carry."
"Only sounds that tremble through us" was curated by SB16 co-curator Amal Khalaf in collaboration with Adam HajYahia’s Bilna’es project. This album includes compositions by Ruanne Abou-Rahme and Basel Abbas. It uses archival recordings from Palestine, Iraq, and Syria, reimagined by artists like Makimakkuk, Julmud, Haykal, and Rima Baransi.

The second album continues the exploration of resistance through sound. It features commissioned tracks by Hiro Kone, DJ Haram, and SCRAAATCH. Released during SB16's opening week, this album is available online and at Sharjah Art Foundation shops.
Curated by Natasha Ginwala alongside musician Sarathy Korwar, "The Ancestral Well: Pulse to Terrain" draws inspiration from ancient wells in India and Sharjah. This album blends jazz, electronic, and Afro-Asian influences with compositions by Nicolás Jaar, Asher Gamedze, Naima Nefertari, and Boom.Diwan.
Digital bonus tracks from Belinda Zhawi (MA.MOYO) and The Sega Sega Band are also included. The cover art features photography by M’hammed Kilito, connecting to his SB16 commission Kafila at Bait Al Serkal.
Live Recital Launch
A live recital marked the launch of "The Ancestral Well: Pulse to Terrain" at Africa Hall in Sharjah on 19th April 2025. This event was part of April Acts: to carry new formations. The recital celebrated the fusion of diverse musical styles showcased in the album.
These albums expand on SB16's theme through soundscapes that resonate with cultural narratives. They offer listeners a unique auditory experience that reflects the Biennial's artistic vision.
With inputs from WAM