Weighting of lines of evidence is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Weighting of lines of evidence involves assigning differential importance to data streams—such as human studies, animal data, or models—based on relevance, quality, and applicability. It helps synthesize diverse information into coherent conclusions. Careful weighting avoids overemphasizing flawed data or underutilizing weakly documented insights.
More specifically
RSI uses structured weighting in integrated assessments, often applying predefined frameworks or stakeholder-informed criteria. Its analysts document rationale and scoring transparently, supporting trust and usability of synthesized results. RSI adapts weighting schemes to each assessment’s context, ensuring balance between methodological rigor and policy relevance.