The workflow illustrates a step-by-step process for conducting causal analyses. Arrows indicate the typical flow of an analysis. Two possible pathways are shown: causal discovery approaches (blue), which aim to identify the existence of causal relationships when pre-existing knowledge is low, and causal inference approaches (yellow), which aim to quantify the direction and magnitude of causal effects when pre-existing knowledge is high. The gray feedback loop on the right highlights the iterative refinement of causal analyses based on assessments of the plausibility of causal assumptions.
So, y'all have heard me going on about #causalinference in #ecology a lot. Now our big synthetic guide "Best practices for moving from correlation to causation in ecological research" is out! Led by Hannah Correia & Paul Ferraro, it's a great walk-through for all! 🌍🧪 www.nature.com/articles/s41...
