Computational Information Design
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The ability to collect and store data continues to increase, but our ability to understand it remains unchanged. In an attempt to gain better understanding of data, fields such as information visualization, data mining and graphic design are employed, each solving an isolated part of the specific problem, but failing in a broader sense: there are too many unsolved problems in the visualization of complex data. As a solution, I propose that the individual fields be brought together as part of a single process that I call Computational Information Design. I'll be showing examples of work developed as part of my Ph.D. dissertation, and as a researcher at the Eli & Edyth Broad Institute of MIT & Harvard addressing the visualization genetic data.