Graphics in Science

BishopBerkeley writes "Nature has an interesting nugget about the second meeting of the Image and Meaning Initiative which was held at the Getty Museum in Los Angeles. It is about the use of graphics in presenting scientific data. I am also a big advocate of using nice graphics in scientific presentations, but I also agree with Felice Franel, the founder of I-M, that not all images are meaningful scientifically. In fact, one encounters (and I am ashamed to admit that I have published) images that look nice but have no scientific import at all. One very cool Harvard physics professor, Eric Heller, produces wickedly beautiful (and meaningful) images of quantum mechanical models. These images have made the covers of Science and Nature, and are featured in his online art gallery, which was reviewed in the New York Times in 2002." And of course, any mention of graphic information should not go by without a big shout out to Edward Tufte.

Comments

Re:Don't Forget The Cool Factor

[lars_stefan_axelsson]

I've struggled with the same question as a computer consultant -- do images always convey anything useful just because they are based on scientific data? I've created a lot of really cool graphs and 3-D animations, but as far as analyzing the data, most times the computer is a lot better at processing multi-dimensional data than our old Mark-1 eyeball

Well, I've taken a slightly different tack in my research. While the computer might be better at actually analysing the data, visualisation can be a great tool in getting the results of that analysis to the user. In my case I've visualised the states of self learning intrusion detection systems so that the user can 'see for himself' why the system operates the way it does. Making under and overtraining and false alarms visible to an extent they weren't before.

But I agree. Even though I started out (PDF) doing straight up visualisation, I've come to believe that it's the combination of computer analysis and visualisation to better match the capabilities of the human operator and the machine that's the interesting field to explore.

favourite toolkit?

[spectrokid]

What is your favourite open source cross-platform toolkit for making scientific graphs?

Synthesis.

[torpor]

I have long lamented the lack of visual effort in interface design, specifically in the realm in which I currently work, musical synthesizers.

One of the problems with synthesis today is that it is too scientific .. and I have concluded that one of the reasons we see waves of synth revivial occurring every few years is because that is how long it takes someone to 'grok' their synthesizer, and while we wait for that grok to occur, no use occurs.

I recently made a commitment as a synth builder to attempt to enforce a few rules on myself; one of them is the "No Label Philosophy", which basically means that if a knob needs a label in order for the user to work out what it does when they turn it, then its a poor interface design, but if it doesn't, its a strong one.

The question I have is, where are other examples of 'illustration pushing concept' in the slashdott'ers world today? Have you recently seen some examples of graphical/icon-based design being used to clearly communicate very high-order concepts to the end user? What are they? Anyone got any pointers to examples of superlative graphical interface function, where you know instinctively what is going to happen because the picture tells you so?