Decision science is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Decision science studies how choices are made under uncertainty, incorporating probability, trade-offs, and stakeholder values. In risk contexts, it helps structure complex decisions where consequences, likelihoods, and tolerances vary. Tools include decision trees, multi-criteria decision analysis, and utility modeling. Its strength lies in rational structure; its challenge lies in capturing the full nuance of real-world decision environments.
More specifically
RSI applies decision science to frame regulatory, operational, or policy choices within structured analytical frameworks. The firm helps clients clarify objectives, weigh trade-offs, and compare options under uncertainty. RSI embeds value-sensitive analysis into its Understanding Risk methods, ensuring that decision logic is transparent and adaptable to multiple perspectives. This supports consistent and defendable decision-making in complex environments.