Happy New Year! Continuing the theme, I’ve another post about diagrams, more qualitative than the pre-Christmas quantitative citation count treat :).

For decades, Yuri Engelhardt and Clive Richards have been researching and teaching about graphics, especially graphical representations of data and information visualisations. I took the latest of their work, VisDNA, and applied it to some of the latest Neural Network diagrams of Computer Vision and Natural Language Processing systems.

In the paper and in the video below, I discuss a few examples and apply with VisDNA framework, suggesting some extensions to this “grammar” and using it to describe some of the ways scientists are communicating about complex systems using diagrams.

Exec summary

There are frameworks we can use to describe, reflect and critique on diagramming practices. See thediagramguy.com if you’re interested in finding out more