Data Science, Statistics, Analytics, Experiment, Causality.
article: variable selection for causal inference should be determined by DAGs. Sometimes, you run a DAG through the algorithm and discover that it is impossible to estimate the causal effect given your observations! But using the DAG we can discuss what variables we need and which ones are feasible