RSI designs and delivers training programs for regulators, public health staff, and emergency planners. Its approach emphasizes applied learning, cross-disciplinary skill development, and alignment with evolving threats. RSI integrates workforce development into broader capacity-building and institutional strengthening initiatives.

RSI routinely translates technical methods—such as probabilistic modeling or dose-response analysis—into accessible public documents, infographics, and web content. The firm ensures that the core logic and conclusions are preserved while simplifying language, removing jargon, and using evidence-based framing. RSI excels in producing communication that is informative, ethically responsible, and trust-building.

RSI conducts capability and capacity benchmarking for clients in regulatory, public health, and critical infrastructure sectors. It applies sector-specific metrics and draws from global best practices to identify where systems meet, exceed, or fall short of expectations. RSI provides clear, actionable findings to support strategic investments and risk mitigation planning.

RSI designs and facilitates scenario-based exercises that test governance, communications, and technical systems under pressure. Its method integrates structured debriefs and performance assessment. RSI uses the insights gained to refine preparedness, improve coordination, and support evidence-based adaptation of risk management plans.

RSI is well positioned to integrate NAMs into its Understanding Risk methods by aligning scientific innovation with policy realism. RSI’s teams include toxicologists, modelers, and risk analysts with experience in interpreting NAM outputs within weight-of-evidence frameworks. The firm can evaluate the appropriateness of a given NAM for a client’s specific context, help interpret model results, and document methodological decisions in a transparent and policy-ready manner. RSI’s ability to translate novel science into applied insights ensures that NAMs are used effectively and credibly in support of regulatory and advisory functions.

RSI uses predictive modeling in public health forecasting, emergency preparedness, and scenario planning. It combines machine learning, regression models, and simulation approaches tailored to each risk domain. RSI emphasizes not only accuracy but explainability, ensuring that decision-makers can trust and act on the forecasts provided.

RSI incorporates segmentation and profiling into its stakeholder analyses, risk perception studies, and communication planning efforts. By applying statistical clustering, survey tools, or qualitative categorization, RSI helps clients anticipate where support, resistance, or misunderstanding may arise. These profiles are then used to tailor messages, clarify risk framing, or calibrate interventions to diverse audiences. RSI’s ability to contextualize technical findings across stakeholder lines strengthens its broader Understanding Risk offerings.