The PAVE pathway: how to talk about models with people who built them, and people who didn’t

Read full text
Authors: Andrew Reid Bell, Christian Troost, Tatiana Filatova, Christian E. Vincenot, Cheng‐Zhi Qin, Sebastian Fiedler, Carsten Lemmen, Iseult Lynch, Maria E. Pierce, Bruce Edmonds, Eliot J. B. McIntire, Hsiao-Hsuan Wang
+5 more Tomasz E. Koralewski, William E. Grant, Ming Wang, Ben Black, Volker Grimm
Cited by: 4
References: 55

Abstract

Abstract 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.

Fields of Study & Subjects

demographic modeling and climate adaptation Complex Systems and Decision Making Model-Driven Software Engineering Techniques

Publication details

Journal / source
BioScience
Publisher
Oxford University Press (OUP)
Publication date
18 March 2026
Language
EN