Uncertainty Sensing -Algorithm, Landscape, Pixel is a multi-media project that positioned within Iceland’s shifting landscapes, and try to investigate how algorithms interpret uncertainty, how landscapes become sites of data abstraction, and how pixels—our smallest units of vision—carry the weight of environmental memory.

Combining a spider robot equipped with an RGB camera and real-time projections, the work imagines a near-future in which nonhuman agents narrate climate collapse through fragmented, algorithmic poetics. As the robot observes and records its environment, it translates its perceptions into glitchy visual textures and generative texts—revealing a machinic “sense” of ecological precarity. Drawing from concepts of deep time, machine vision, and posthuman ecology, the project reframes the landscape not as scenery, but as a volatile interface between nature, data, and memory. By integrating technical processes with poetic speculation, Uncertainty Sensing reflects on what it means to feel, interpret, and predict in a world shaped by environmental instability and algorithmic systems.