RSI integrates risk perception research into its risk characterization and communication planning. Using surveys, interviews, and focus groups, RSI captures how target audiences interpret risk framing, severity, and source credibility. These insights are used to refine messaging, anticipate resistance, and support equitable risk governance. RSI ensures that perception data is used respectfully and constructively to complement technical findings.

RSI supports clients in defining and justifying acceptability thresholds that are scientifically sound and policy-relevant. The firm draws from regulatory precedents, stakeholder input, and empirical data to tailor thresholds to context-specific needs. RSI ensures that these thresholds are transparently documented and aligned with broader risk governance frameworks, improving the defensibility and clarity of management decisions.

RSI supports rare event modeling through structured scenario development and probabilistic modeling. Its interdisciplinary team helps clients quantify uncertainty, stress-test assumptions, and prepare for high-consequence possibilities. RSI presents rare event outputs with clear framing, enabling proactive planning without overstating precision.

RSI conducts formal data quality assessments as part of literature reviews, regulatory dossier preparation, and internal model development. Its approach includes predefined criteria, transparent scoring, and expert review to contextualize quality within the intended use of the data. RSI ensures that decisions made using imperfect data are clearly framed with appropriate caveats and confidence statements, reinforcing trust and rigor in risk outputs.

RSI supports the design and evaluation of risk governance frameworks tailored to sectoral or interjurisdictional needs. Drawing on international standards and local realities, RSI helps align policies, workflows, and oversight. The firm also facilitates co-creation processes that ensure frameworks are both operational and respected by stakeholders.

RSI helps clients shape convening goals by applying stakeholder analysis, issue framing, and process design expertise. Whether organizing technical workshops or policy roundtables, RSI ensures that goals are realistic, measurable, and conducive to structured risk discussion. This method supports RSI’s broader role as a trusted facilitator of cross-sector risk dialogue and contributes directly to the quality and relevance of the risk understanding that emerges from such events.

RSI supports clients in developing or revising thresholds used in regulation, screening, or monitoring. It combines data modeling, stakeholder input, and expert judgment to define points that are both scientifically grounded and operationally feasible. RSI documents the rationale and implications of threshold choices to support implementation.

RSI develops risk trade-off visualizations to support policy dialogue, stakeholder negotiation, and public engagement. These tools make competing priorities—such as health, economic, and equity outcomes—visible and discussable. RSI ensures that trade-off communication is transparent, evidence-informed, and adaptable to both technical and public-facing settings.

RSI conducts convergence mapping to clarify the communications ecosystem surrounding a risk. It identifies shared frames, conflicting narratives, and opportunities for harmonization. RSI uses this method to support strategic alignment and anticipate communication risks in multi-actor environments.

RSI works with clients to design and implement forecasting and EWS tailored to local contexts and risk types. The firm supports model selection, threshold calibration, and end-user engagement. RSI emphasizes usability, ensuring systems trigger actions that are feasible and well-understood by responsible actors.