Computational ecology and material research

Our work examines how algorithmic models ingest ecological data, translating invisible digital processes into physical artifacts subject to decay. Each speculative installation serves as an active testing ground where material culture confronts computational opacity.

By treating the gallery as an empirical research site, we bridge theoretical computer science with tangible material culture, offering curators and committees rigorous physical documentation of complex systemic forces.

Pedagogical framework

Deconstruct

Sample

Synthesize

Interrogate

Isolate foundational computational systems and training datasets to reveal hidden structural biases.

Gather localized bio-based materials and physical artifacts to ground digital abstractions in tangible reality.

Construct speculative prototypes pairing algorithmic media with organic matter undergoing controlled decay.

Evaluate long-term environmental and cultural implications through rigorous institutional critique.

We interrogate computational bias not through abstraction, but through tactile matter and ecological decay.

Pedagogy in this space requires deconstructing the machine before we ask students to build with it.