"Suppose you have a flower data set, and each item has two parts: one value for flower diameter, and one for leaf length."
"Oh, that makes sense."
"Makes sense to me, too."
"And me."
"I wish my professor had just said that. Thanks!"
There is a lot of middle ground between an artsy, overly wordy scenario and a perfectly abstract scenario using jargon that's defined in terms of other jargon, etc.
The cross-disciplinary sweet spot is where you can define a problem from one side in terms compatible with an existing solution from the other side. You end up with language that's somewhere in the middle and easier to understand than it was at either extreme.
"Oh, that makes sense."
"Makes sense to me, too."
"And me."
"I wish my professor had just said that. Thanks!"
There is a lot of middle ground between an artsy, overly wordy scenario and a perfectly abstract scenario using jargon that's defined in terms of other jargon, etc.
The cross-disciplinary sweet spot is where you can define a problem from one side in terms compatible with an existing solution from the other side. You end up with language that's somewhere in the middle and easier to understand than it was at either extreme.