You could argue that the resurgence of neural networks being the dominant paradigm in "AI"/ML is a partial comeback of cybernetics (dynamics of simple systems leading to complex behavior). I'd like to understand the history of cybernetics better, but my current impression is that much of cybernetics, or at least ideas in the spirit of cybernetics, just became rebranded after the original practitioners died.
I agree with your general take though. The history of aviation safety is a good example of taking this systemic way of thinking to heart, but most other fields don't seem to take such a wholistic approach in their analysis. I.e. part of the reason planes are so safe nowadays is that the people in the field worked really hard to understand the systems from their basic mechanisms to the psychological and physiological effects on the pilots/crew (granted wanting to not kill people is a great incentive to figure this out). I'm sure there are other examples of intensive analysis throughout the system, but that's the only good example I can think about.
I agree with your general take though. The history of aviation safety is a good example of taking this systemic way of thinking to heart, but most other fields don't seem to take such a wholistic approach in their analysis. I.e. part of the reason planes are so safe nowadays is that the people in the field worked really hard to understand the systems from their basic mechanisms to the psychological and physiological effects on the pilots/crew (granted wanting to not kill people is a great incentive to figure this out). I'm sure there are other examples of intensive analysis throughout the system, but that's the only good example I can think about.