Client: IBM Watson

Overview

IBM Watson Analytics analyzing relationships between 7 genetic influenced diseases against distinct genes, drugs, and years to drive a field of swarm agents to produce a feature wall at The Cambridge Watson Experience Center focuses on Machine Learning and ‎Cognitive Computing for the health sciences.

Goals

The project merges the territories of “data spatialization” and “data narrative” by using using the cognitive computing capabilities of IBM Watson to inform a data-driven generative design processes.

Process

IBM Watson representatives provided us with data and graphs in which we used as a starting point to designing an approach that generate a visual wall. Throughout the project, there was a lot of open communications of how to improve the data and what data would best illustrate the goal.

Additional Information

The resultant project is simultaneously an abstract representation of Big Data that offers a uniquely spatial marketing narrative, as well as a dynamic architectural feature with a visual experience that is amplified through the movement of visitors through the Experience Center. The paper reviews initial research and data mining, digital mapping and visualization studies, and the development of tectonic including spatial logics which have proved effective both representationally and atmospherically.