The Truth of the Matter
Data, Stories & Interpretation
The author and artist Manuel Lima has argued in his book, Visual Complexity, that (sic) our capacity to collect data far outweighs our ability to understand it. As a result, the need to visualize complex data is a growing field of study, but one that often elevates one over the other—either the data over the visualization or the visual aesthetics over the data itself.
Computational and generative art hold immense potential for artist and designers to think about artistic creation. The visualization of data can tell a rich, dynamic and multi-layered story with multiple perspectives. The tension between, bias, and interpretation are inherently embedded in data collection, synthesis, analysis and translation. This project emphasized the use of systems that drive the actualization of the art. The final outcome of this assignment was to introduce different types of art and design generation while attempting to work through a different visualization platform. The software, Processing, is an open-source, Java language, graphical library and IDE integrated development environment built for electronic arts, new media art and visual design.
We were prompted to chose a data set which would consider the following:
What social, environmental, political, economic problems do you see in the world?
What is relevant to social discourse that is happening right now?
What is available?
What size is the data set? Will it update regularly?