An RSI Understanding Risk method
Cumulative and aggregate exposure modeling
Cumulative and aggregate exposure modeling is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Cumulative and aggregate exposure modeling estimates the total exposure an individual or population receives from multiple sources or pathways of the same or related stressors. Aggregate exposure considers a single substance from all routes (e.g., air, food, water), while cumulative exposure includes multiple chemicals with similar effects or modes of action. These models are critical in evaluating real-world risks, especially for vulnerable populations. The complexity arises from integrating diverse data types, temporal factors, and synergistic effects across chemicals.
More specifically
RSI integrates cumulative and aggregate exposure modeling into broader risk characterization efforts, using a systems-based lens and data-driven tools. Its team uses default and custom scenarios grounded in population behavior and environmental distribution data. RSI ensures that outputs are scientifically sound, policy-aligned, and transparent in assumptions. This method enables RSI to provide nuanced, realistic exposure profiles that can inform public health, chemical safety, and environmental regulation.