I haven't read a good article about how a lot of scientific fields are basically just turning into applied math and converging on the same basic set of tools (linear & dynamic programming, various stats stuff).
But I'd read that article.
But I'd read that article.
This development is full of opportunity because it makes everything interdisciplinary - a statistician can do biology, a biologist can do economics, an economist can do fluid dynamics, etc.
But it comes with risks -- hidden "canonical" assumptions, monoculture, etc.
But it comes with risks -- hidden "canonical" assumptions, monoculture, etc.
The clearest implication of the shift is that everyone from every science and social science field should take the same statistics, linear programming, and dynamic programming classes as undergrads (in addition to their discipline-specific methods courses).
