Archive page of posts in this category or categories:
Communicating methods, Methods
The following posts are in no particular order. They are purposely randomized.
Process mapping
RSI uses process mapping to inform both technical assessments and organizational diagnostics. Whether tracing the flow of regulatory submissions, laboratory testing, or data management, RSI identifies bottlenecks and points of vulnerability. Its visual and narrative outputs support both internal insight and external communication of system dynamics.
Read More Stakeholder message convergence mapping
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.
Read More Strategic foresight
RSI applies strategic foresight to support long-term risk management across sectors. Its team conducts trend mapping, facilitates participatory scenario development, and integrates foresight outputs into policy planning. RSI ensures that foresight exercises are grounded in evidence and tied to practical decision points, enhancing both imagination and relevance.
Read More Weighting of lines of evidence
RSI uses structured weighting in integrated assessments, often applying predefined frameworks or stakeholder-informed criteria. Its analysts document rationale and scoring transparently, supporting trust and usability of synthesized results. RSI adapts weighting schemes to each assessment’s context, ensuring balance between methodological rigor and policy relevance.
Read More Chemical exposure modeling
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.
Read More Regulatory scan
RSI conducts regulatory scans as a precursor to policy design, compliance assessment, or market entry. Its analysts compile and compare legislative developments, regulatory consultations, and agency guidance across relevant geographies. RSI ensures that scans are updated, scoped, and interpreted to support practical decision-making under dynamic conditions.
Read More Workshop facilitation for decision-making under uncertainty
RSI facilitates workshops that guide decision-makers through uncertainty-tolerant processes. The firm uses tested frameworks and participatory tools to elicit preferences, surface assumptions, and document reasoning. RSI ensures outcomes are actionable and resilient to future information updates, strengthening both process integrity and buy-in.
Read More Incident investigation protocols
RSI assists in developing and conducting incident investigations that balance technical rigor with organizational learning. Using root cause analysis, fault tree methods, and human factors assessment, RSI helps clients uncover underlying causes and system vulnerabilities. RSI emphasizes a non-punitive, evidence-based approach that supports safety culture and continuous improvement.
Read More Workshop facilitation for risk identification
RSI designs and runs workshops that draw out both expert and operational perspectives on emerging or systemic risks. Its approach combines participatory mapping, guided brainstorming, and pre-read materials. RSI ensures that identified risks are captured systematically and translated into inventories, matrices, or models that feed into larger risk processes.
Read More Database design
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.
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