Archive page of posts in this category or categories:
Understanding methods, Methods
The following posts are in no particular order. They are purposely randomized.
Recovery pathway planning
RSI facilitates recovery planning that integrates risk reduction, community priorities, and systemic reform. Its cross-sector expertise supports holistic approaches—from critical infrastructure to psychosocial recovery. RSI ensures that pathways are feasible, inclusive, and adaptive to the uncertain pace and character of post-crisis recovery.
Read More Risk visualization tools
RSI designs and deploys visualization tools to make risk intelligible across technical and lay audiences. It uses participatory design, evidence mapping, and digital prototyping. RSI ensures that tools are intuitive, scalable, and aligned with communication objectives, particularly in cross-sector contexts.
Read More Learning health systems
RSI supports the development of learning health systems by linking data infrastructure, outcome measurement, and governance. The firm applies its expertise in surveillance, feedback mechanisms, and stakeholder engagement to ensure the system evolves with evidence and remains centered on patient or population benefit.
Read More Resilience measurement
RSI develops resilience metrics for clients across sectors, using stakeholder-informed frameworks and multi-dimensional indicators. Its teams validate metrics against scenarios and real-world events to ensure credibility. RSI helps integrate resilience tracking into ongoing planning, enabling adaptive management and continuous improvement.
Read More Translation of complex methods into accessible public materials
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.
Read More Work process documentation
RSI emphasizes process documentation in all engagements, producing structured protocols, audit trails, and technical appendices. The firm’s standardized templates support consistency across projects while allowing customization to client needs. This method ensures RSI’s work can be verified, explained, and transferred across teams or jurisdictions.
Read More Consensus-building methods
RSI applies consensus-building techniques in regulatory development, stakeholder consultation, and community resilience planning. Its team designs processes that promote inclusive dialogue, document trade-offs, and produce legitimate, actionable outcomes. RSI ensures that consensus is not forced but earned through transparency and respect for differing values.
Read More Cumulative and aggregate exposure modeling
RSI integrates cumulative and aggregate exposure modeling into broader risk characterization efforts, using a systems-based lens and data-driven tools. Its team uses default and custom scenarios grounded in population behavior and environmental distribution data. RSI ensures that outputs are scientifically sound, policy-aligned, and transparent in assumptions. This method enables RSI to provide nuanced, realistic exposure profiles that can inform public health, chemical safety, and environmental regulation.
Read More Communication protocols and preclearance
RSI supports the development and simulation of communication protocols tailored to regulatory and emergency settings. The firm helps define roles, approval chains, and pre-approved messages, especially for time-critical or high-sensitivity issues. RSI ensures that preclearance systems are flexible enough to adapt to evolving events without sacrificing accuracy or legitimacy.
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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