Torn Layers
WINNER of Open Source Biennale
+ WINNER
Open Source Biennale
[7068]
Torn Layers
Team
Name: Mohsen Bokaei
LinkedIn: mohsen-bokaei-b1b13b31a
Nationality: Iranian
Institution: Iowa State University
Company: HGA
The project features an innovative installation: a box constructed from layers of paintings and drawings. The content of these artworks is not fixed; instead, they can be customized based on the context and preferences of the audience. Participants can contribute images, personal artworks, or even live selfies via a connected printer, resulting in a constantly evolving display. This dynamic exhibition encourages exploration, as visitors tear through layers of paper to reveal what lies beneath. The final artwork is created collaboratively by the public, whose tastes and actions determine the outcome. The piece serves as a neutral canvas, transforming into a unique sculpture or random arrangement, depending on the interactions it undergoes. The installation invites people to engage in the creative process, blurring the lines between the artist and the audience, and highlighting the fluidity of art in public spaces. This open and participatory nature makes the artwork a reflection of collective creativity, continually reshaped by those who encounter it.
Jury Comments
– [Hamidreza Khademi] Highly interactive concept that creatively engages the audience. Relatively simple to implement from a construction standpoint. The main challenge is managing the continuous addition and tearing of layers, which might require frequent maintenance.
– [m2ft architects] The proposal is simple, and represented in a way that is perhaps even too minimal. Its simplicity, however, is also its strength, making it immediate, effective, powerful. Indeed, the project conceals a richness and depth of message that is well suited to a Biennale. Unfortunately, though, it fails to really question the very meaning of Biennale called for in competition.
– [Olli Andrew] nice idea but feasibility is questionable and seems wasteful
Responses