Judge’s Award
Winning Team
Team Name: Colorado
Agne Baca
Jinge Chai
Shu-han Liao
COLORADO is a workflow. It currently is an investigation of using Machine Learning, specifically the Pix2Pix service, within the initial stages of the design process, when precedent research is imperative, concepts are generated and rules-of-thumb are depended on. We wanted to evaluate what problems need to be addressed so architects…
People’s Choice
Winning Team
Team Name: Protopolis
Alonso Cantu
Lingzhe Lu
Victor Trautmann
Our aim is to develop, what we call an “Ecosystem of Tools,” that operate across multiple design phases to create buildings that function as “operating systems,” providing data and feedback, and informing future design iterations. This tool ecosystem would have the ability to pull data from a variety of different sources, like GIS databases both external and inhouse. This data would…
2020 Digital Evolution Lab
Submissions
Team Name: G.Y.JOE
Judge’s Award Runner-Up
Gloria Sierra-Coch
Yueshen Mei
Jeong Han Kim
The workflow we created is in two steps. The first step is finding a site with the highest potential for a certain type of development via using GIS data as decision making tool. In this case, we used residential development for example. The second step is importing GIS data (GeoJSON, shapefiles, CSV, etc.) into GH and visualizing the analyze within Rhino environment…
Team Name: The Big Anti Smoke
Andrew Kukla
Eliza Crocker
John Salama
The script assigns same glazing ratios for a whole facade of a building. The final product would be able to analyze and recommend glazing for each room of a given building…
Team Name: CRTKL + ALT + Del
Jie Ma
Michael Ticzon
The tool was developed in order to improve and fast-track early design decisions in the schematic design phase, allowing designers to quickly understand massing options, and their solar implications and efficiency and to have the computer compute and suggest the most efficient solar orientation and location on site, relative to their solar gain goals. Based on the basic building…
Team Name: GH Gang
Carrie Jim
Duke Wang
Tony Gao
Though there are similar design tools available on the market, each one of them has its own choice of behavioral factors that affect the simulation. As different design decisions arose in projects, we would like to determine our own choice of pedestrian walking behavioral factors. Consequently, we can revise our design based on the given simulation…