Biosecurity is built as defence in depth: a series of barriers, each one catching what the last one missed. A threat arrives at the outside edge of this map and has to cross three of them to reach the people at the centre.
Every dot is one of the 168 organisations in the field, sitting on the barrier it works on. The further out a dot sits, the earlier it acts.
The map arranged as barriers; this is the same four groups laid out left to right, in the order a threat meets them, with every organisation named. Easier to read down a list, harder to see the shape of.
A directory tells you who exists. It cannot tell you what is missing — and for someone deciding where to work or give, that is usually the more useful question.
Start with the simple version: how many organisations work on each topic. The long bars are crowded topics. The short ones are where a single new organisation would move the needle most.
Each organisation can work on several topics, so these add up to more than 168.
The same data, uncompressed. Rows are topics, columns are kinds of work, and each cell counts the organisations doing both. Darker means more. The dotted cells are the point: combinations nobody in the dataset covers at all. Hover any cell for its exact figure.
Topics are not worked on in isolation. When one organisation covers two of them, that says something about how the field actually divides up — and it tells a newcomer which topics they will end up learning together.
These are the pairs of topics most often held by the same organisation.
Read as: this many organisations work on both.
Every topic against every other. Rows and columns are ordered by similarity, so related topics end up next to each other and the field's natural clusters gather into blocks along the diagonal. The hatched diagonal is each topic's own total.