RSI supports policy development across health, environmental, and infrastructure domains. The firm integrates scientific evidence, risk assessments, and stakeholder perspectives to craft clear and enforceable policies. RSI also provides implementation roadmaps and evaluation frameworks, ensuring that policies are not only sound on paper but practical in execution.

RSI applies probability distribution fitting to support Monte Carlo simulations, reliability modeling, and uncertainty propagation. Its analysts validate assumptions using diagnostic plots and statistical criteria, ensuring that modeled variability accurately reflects real-world uncertainty. This method underpins RSI’s quantitative modeling strength.

RSI facilitates risk prioritization workshops using tools such as risk matrices, MCDA, and facilitated consensus. Its approach balances technical input with participatory deliberation to create shared understanding and buy-in. RSI ensures that prioritization outcomes are documented, traceable, and integrated into planning and resource allocation processes.

RSI designs custom databases to support modeling, surveillance, and evidence management. It applies principles of data normalization, security, and metadata tagging to ensure databases serve both analytical and operational needs. RSI’s understanding of risk-specific data types allows it to anticipate use cases and design for long-term functionality. This method supports robust, structured understanding of risk evidence.

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.

RSI applies MCDA in high-stakes risk decisions, helping clients define criteria, score options, and test robustness. Its facilitators engage stakeholders in structured deliberation to ensure diverse values are reflected. RSI documents assumptions and uncertainty transparently, providing a defensible foundation for risk-based choices.

RSI leads resilience strategy workshops that combine systems thinking, stakeholder mapping, and scenario exploration. Its facilitators ensure inclusive participation and productive engagement while translating outcomes into actionable roadmaps. RSI aligns these strategies with broader governance structures and available funding pathways, promoting durable uptake.

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 incorporates data visualization into most of its risk products, using both static and interactive formats. Its team combines analytical rigor with communication insight to design visuals that are clear, interpretable, and aligned with the needs of regulators, policymakers, or the public. RSI ensures that data visuals remain faithful to source data while enhancing accessibility—supporting more informed decision-making across technical and non-technical audiences.

RSI brings structured risk thinking and systems analysis to business impact forecasting in public and private sector contexts. Whether assessing the risk of supply chain disruption or reputational harm from safety failures, RSI builds scenarios informed by regulatory knowledge, empirical modeling, and stakeholder insight. Its cross-disciplinary team enables BIA outputs to reflect both technical risks and broader institutional implications—making this method valuable in complex risk environments.