RSI supports organizations in crafting trust repair messages that balance transparency, humility, and a commitment to reform. Drawing on risk communication science and crisis psychology, RSI helps clients respond constructively to reputational damage and public concern. Its approach emphasizes authenticity, stakeholder dialogue, and long-term rebuilding rather than short-term image repair.

RSI structures trade-off analyses to support decisions in regulation, emergency planning, and infrastructure investment. The firm integrates quantitative and qualitative inputs, clarifies stakeholder values, and communicates findings in accessible formats. RSI’s balanced approach ensures that trade-offs are neither hidden nor oversimplified, supporting accountable governance.

RSI convenes and facilitates workshops to clarify and document uncertainty across risk domains. Participants are guided through structured elicitation, evidence ranking, and discussion of implications. RSI integrates these findings into its models, reports, and stakeholder messaging, ensuring that limitations are appropriately recognized and contextualized.

RSI applies uncertainty management frameworks tailored to client context and risk type. Its analysts identify epistemic and aleatory uncertainties and embed structured responses within decision processes. RSI ensures that frameworks are well documented, stakeholder-informed, and usable in both technical and public-facing settings.

RSI applies occupational risk profiling in sectors ranging from manufacturing to healthcare. Its approach combines exposure data, task analysis, and workforce demographics to develop structured profiles. RSI supports both regulatory compliance and organizational safety planning, and translates findings into recommendations for engineering, administrative, or behavioral controls.

RSI integrates segmentation into risk communication strategies by leveraging both qualitative insights and quantitative analytics. The firm designs communication plans that reflect the unique concerns, values, and informational needs of distinct stakeholder groups—whether they be industry leaders, vulnerable populations, or general publics. RSI ensures that messaging is evidence-based, targeted, and dynamically updated as new data emerge.

RSI prioritizes assumption transparency in all its modeling efforts. Whether developing toxicological, exposure, or economic risk models, RSI documents decisions, default values, and rationale using structured templates. This transparency supports external review, regulatory submission, and stakeholder confidence. It also facilitates iterative improvement and reuse of models in evolving contexts.

RSI designs and facilitates structured engagement processes to inform its Understanding Risk work. This includes customized survey instruments, expert panels, and moderated forums. RSI emphasizes respectful engagement, documented responses, and clear pathways by which stakeholder input shapes outputs—ensuring both credibility and legitimacy in results.

RSI designs and conducts M&E frameworks tailored to regulatory programs, emergency plans, or public engagement efforts. It defines meaningful indicators, collects robust data, and synthesizes findings for stakeholders. RSI emphasizes learning-oriented evaluation, helping clients improve programs while demonstrating value and performance.

RSI applies catastrophic event modeling in the context of risk foresight, emergency planning, and public policy design. Its teams use stochastic models, Monte Carlo simulations, and expert elicitation to project event scenarios and assess resilience gaps. RSI ensures that outputs are policy-relevant and accompanied by realistic sensitivity and uncertainty analyses. These efforts support clients in preparing for events where the stakes are high but the probabilities are elusive.