Model assumption transparency is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Model assumption transparency ensures that the underlying choices, simplifications, and parameter selections in risk models are clearly documented and communicated. It allows users to understand what drives model outputs, evaluate appropriateness for specific contexts, and interpret uncertainty. Lack of transparency can undermine trust, while too much detail may overwhelm non-specialist users. The balance lies in clear, accessible, and proportionate disclosure.
More specifically
RSI prioritizes assumption transparency in all its modeling efforts. Whether developing toxicological, exposure, or economic risk models, RSI documents decisions, default values, and rationale using structured templates. This transparency supports external review, regulatory submission, and stakeholder confidence. It also facilitates iterative improvement and reuse of models in evolving contexts.