For this workshop we explored using different data inputs to create a better informed design output. We chose to develop a climbable external experience to be grafted onto the existing structure in Valdaurra driven by data collected on site and elsewhere.
Primary data sources were that of view distance, amount of greenery detected, height and lux levels. The majority of data was collected on site with the use of a drone that autonomously flew a pre-set flight path and collected enough data points to generate the point cloud that we worked on. Other sources were the light levels and sun path that was pulled from existing data sources that were input into Grasshopper to inform the design.
All design decisions were made in relationship to the different data we collected. The position of nodes was directly related to their view distances and their scale from the position as related to the point cloud.
Light and view data was then mapped onto the 3D ‘morph ball’ style model that dictated the size of penetrations and member widths to create an organic structure that enveloped the existing windows to allow people to climb out and actively participate in the proposed architectural intervention.
Youtube video:

Students: Riccardo Mura, Luis Pacheco
Faculty: Alexander Dubor, Starsk Lara