I like working with big, messy systems with lots of variables. From where I stand now, that's the most prominent thread connecting what I've enjoyed about studying STEM fields.
It makes me wonder whether I wouldn't be better off in a field that's generally acknowledged to be difficult to handle with reductionistic methods. (Classic example being the life sciences - if you take a creature apart to try to figure out how it works, it very quickly stops working.)
It makes me wonder whether I wouldn't be better off in a field that's generally acknowledged to be difficult to handle with reductionistic methods. (Classic example being the life sciences - if you take a creature apart to try to figure out how it works, it very quickly stops working.)
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