PAVE method improves understanding of model findings in different audiences, suggesting better communication methods.
Do you want your model findings to be used and have a place in academic or policy discourse? Then PAVE that place. For modelers, PAVE (Purpose, Assumptions, Validity, and Exploration) is a semi-structured method to communicate the suitability of models to inform a particular purpose. For users of model results, PAVE is a method for identifying the strength with which model findings inform a question of interest. For all audiences, PAVE distills more comprehensive model documentation protocols into a simple set of concepts for modelers and users alike to discuss. In doing so, PAVE solves a dilemma: there is an audience for whom formal protocols for documenting model development, testing, and analysis are everything. And there is an audience for whom such technical tools are a terrifying abyss, neither to be approached nor looked upon. PAVE is meant to help these audiences talk to each other about model findings.
No takes yet. Share an insight, caveat, or question.
Bell et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: