Regulatory network models based on mechanistic insights can advance our understanding of cellular behavior. This diagram illustrates the workflow from experimentally determined molecular mechanisms to regulatory network models that can advance our understanding of cellular decision making processes. Shown are, from top to bottom, a model of the Runx1/CEBP transcription factor complex bound to DNA, a literature curated regulatory network model connecting key HSPC transcription factors, and a diagram illustrating HSC fate decisions including the balance between self-renewal and multilineage differentiation.