“To Model Phenomena” is a scientific concept that describes a computer’s ability to emulate, regardless of whether the emulated phenomenon exists outside its circuits or is purely imaginary.
Modeling communication platforms enables us to interact with each other or with computers. Modeling behavior patterns, nuclear fusion, or, as in the case of scientists from the Human Brain Project, a virtual human brain, allows us to simulate cognitive processes such as perception, memory, and decision-making, providing insight into the nature of human thought.
In this record, the phenomena modeled are those moments when the mind leaps into the void, confronting new paradigms. For instance, when science, art, or mass media introduces new information, propelling us into a transformed reality.
From this starting point, European musician Shifting Heigo maps a path between realities, evolving his narrative as his music unfolds. This work draws inspiration from Curtis Roads (vice chair of Media Arts and Technology at the UCSB) and his studies on granular synthesis and time scales, where each track on To Model Phenomena evokes a sense of movement, where nothing begins or ends in quite the same way.
A musician with strong ties to new technologies, Shifting Heigo has collaborated with the University of Málaga (Spain) in its PH Degree Program in video game design, composing interactive music, while also singing as part of the tenor section in the Qatar Concert Choir, affiliated with the Qatar Philharmonic Orchestra.
Currently based in Abu Dhabi, he is now part of a circle of electronic musicians surrounding the New York University Abu Dhabi, an institution that supports electronic and experimental music across the Middle East.
To Model Phenomena is the result of his search for a unique voice as a musician, where ternary rhythms, noise, and silence shape the narrative. This is a discourse from a musician’s perspective on the changes that science, technology, art, and the rapid flow of information demand of us. A direct gaze into the fear of change.
