The False Hope of Usable Data Analysis

Meta Rabbit

I changed the regular schedule of the posts because I wanted to write down these ideas.

A few days ago, in a panel at EuBIAS, I argued again that scientists should learn how to programme. I also argued that usability of bioimage analysis was a false hope.

Now, to be sure: usability is great, but usability does not mean usable without programming skills. Good usable programming environments can be the most usable way to achieve something[1]. I find the Python environment one of the most usable for data analysis currently, although there is still a lot of work which could improve it.



We can build communication systems without words, but only if the vocabulary is very limited. Otherwise, people need to learn how to read [2]. I think this a good analogy for non-programming environments.


The problem is that image analysis

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