Generative Data Research, 2009.
In the ‘data mining’ research , We develop our ability to design directly in the information level , which brings about a wider control of each and every part of our geometrical design.
The developed geometry is capable of evolving itself at the macro level of distribution and at the micro level of geometrical differentiation according to local conditioning.
Local information control, practiced widely through our generative codes is further enhanced by parallel attempts to materialize some of the digital models with the manipulation of fabrication processes and G-codes.
Learning from bio-Imaging and sorting techniques, we intend on linking data structures to fabrication procedures or even use level of information as ‘live feed’ for responsive architectural ‘implants’ that can translate the depth of our data sets into a responsive ambient spectacle of hue,color and light.
Interactive design platforms, such as ‘processing’ reflect motion in its simplest form, but also introduces the ability to incorporate inherent tempos, rhythms and a richer differentiation of interaction within our context (reflected in local force vectors, intensity shifts and rates of change).
During the simulation processes, unexpected non-linear pattern evolution emerged.
demonstrating the potential of interactive tools for a design which could seamlessly incorporate time-based programmatic evolution with the dynamic changes of host conditions. Self developed scripts and applets all suggest the use of simulations as a design tool rather than a strict performance oriented tool.
ShaGa Studio - Gary Freedman and Shany Barath.
with Immanuel Koh and Osbert So.
@ AADRL/Alisa Andrasek