Chemical exposure modeling is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Chemical exposure modeling quantifies how much of a chemical a person or population is likely to absorb through various pathways—air, water, soil, food, or consumer products. These models can be deterministic or probabilistic, and often rely on physical-chemical properties, environmental fate data, and behavior patterns. Accurate exposure modeling is essential for dose-response interpretation and risk characterization. Challenges include parameter uncertainty, scenario realism, and integration across media.
More specifically
RSI applies chemical exposure modeling in regulatory, industrial, and public health contexts, using tools like ConsExpo, RAIDAR, and bespoke models. Its scientists ensure exposure scenarios are grounded in realistic behaviors and population data. This method underpins RSI’s toxicological and ecological risk assessments and is often combined with hazard data to complete full risk profiles. RSI emphasizes transparency and defensibility in modeling choices to support credible decision-making.