

When Computational Art Isn’t Computational or Art
December 21st, 2009
Once again, this December the Center for Computational Science at Tulane hosted a "Computational Art Show." This is the second year in a row that they've hosted this event. Last year, I found out the day of the one-day affair and was able to arrange my schedule so that I could attend. This year, I didn't find out till the week after, so I can't even give a first-hand account of the show. It's a shame really. This is exactly the sort of thing that I'd love to see more of at Tulane…but not in its current formation. In fact, it seems to do more dis-service to the ideals of interdisciplinarity and collaboration that I think it should represent than anything.
As I say, I didn't get to see the actual show, so all I have to go on is a short blurb with video posted by the Tulane NewWave and a web page that has images and descriptions of several of the pieces in the show. While I agree with the basic assertion concerning the need for data visualization proffered by director of the Center (and de facto curator for the show), Ricardo Cortez ("The computer codes give you back a bunch of numbers and you want to visualize what's happening. … You can't do that by looking at numbers or data. You have to look at figures or pictures."), his further comments make it very difficult to know how to approach the work. Here is an excerpt from the NewWave notice:
In preparing work to be displayed in the art show, researchers are given the liberty to add an aesthetic element to the presentations, says Cortez, who also is a Duren Professor in the mathematics department.
"I think it's freeing for scientists to do that because for once you don't have to be accurate scientifically," he says. "If my aim is to produce an appealing picture, I can do that."
I know several data visualization professionals who would choke on their morning Wheaties if they read this quote. Right off the bat, any usefulness of the work as visualization is diminished. If the images aren't accurate, then their usefulness in understanding the data is compromised. In other words, they can't be trusted (then again, no image can be, but that's another essay). I am all for taking liberties in the name of aesthetics, but if the purpose is to understand the data better, then those aesthetic choices must be in service of the data. I'm just not sure when aesthetics became an excuse for a lack of accuracy.
Of course, the flip-side of this discussion would be to meet these images as images, not as a representation of any particular data. Before doing so though, I'll point out that I do not think this is what the students involved intended. If you read the descriptions of individual projects, it is clear that these are meant to be considered in relation to their data sets not as individual artifacts. If, however, we agree that the images have been relieved of the burden of burden of scientific accuracy, then what are we left with? Unfortunately, not much.
One of my main aesthetic criticisms of this work is the over-reliance on the default chromatic "rainbow" color palette. I say "default" because without really knowing what applications they're using, I can't say for sure, but it feels like a standard output setting for statistical analysis software. Anyone who has ever skimmed an Edward Tufte book would think twice before using this color palette. It might be a good for quickly understanding variations in data (which we've already established we aren't interested in, right?) but as an aesthetic choice, it leaves something to be desired.
Really, the problem in the default output of a statistical analysis program is that it puts the emphasis on the numbers…or rather some overwrought visual understanding of the numbers. There is no subtlety here! But that brings us back to the data again. There is some underlying assumption that the beauty is in the data itself and so it doesn't need the aid of aesthetic choices. Of course, that viewpoint is antithetical to Cortez' description of the show which leaves us in a bit of a conundrum.
Of the images posted on the show's web page, the one I've posted at the top of the page here by Priya Shilpa Boindala is the only one I find visually interesting in its own right. It could be a digital print or a pen and ink drawing, and it doesn't matter to me that its represents the "collective dynamics of microorganisms in viscous flow" though that fact adds some interest…if only I knew I could trust it as a representation of that fact… Most of the others seem to have very little intervention on the part of the students, and the one image that clearly has been manipulated could have used some editorial guidance.
In the end, I wish that Cortez and his associates would have reached beyond their own domain to engage in a dialogue with the Art Department perhaps. We may not be data visualization experts, but we do have a bit of experience in the aesthetics department. I, for one, am quite sure that I am often too focused on my own work and would welcome the chance to collaborate with mathematicians and engineers. The possibilities of collaboration might just turn an event that is seen as lagniappe for one department into a richer experience for our students and ourselves as artists and researchers across a much larger section of the university.
/der







