Archive page of posts in this category or categories:
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The following posts are in no particular order. They are purposely randomized.

Understanding methods

Data analysis and mining

RSI uses data analysis and mining to support evidence synthesis, pattern detection, and trend forecasting in risk contexts. Whether analyzing incident databases, health surveillance data, or regulatory submissions, RSI applies statistically sound methods tailored to data characteristics and decision needs. RSI’s emphasis on interpretability ensures that findings are not only technically valid but also decision-useful—bridging analytics and policy in a coherent risk understanding approach.
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Methods

Systems mapping

RSI uses systems mapping to support integrated risk strategies, particularly in multi-sectoral or cross-jurisdictional contexts. Its approach combines expert elicitation, participatory design, and software tools to create clear, actionable maps. RSI ensures maps serve as living tools for analysis, communication, and decision support.
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Understanding methods

Occupational risk profiling

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.
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Methods

Application of behavioral science to interventions

RSI incorporates behavioral science into intervention design, including public health campaigns, workplace safety programs, and environmental compliance strategies. The firm draws on empirical studies and field-tested insights to ensure interventions are evidence-based and context-sensitive. RSI provides clients with practical tools for shaping behavior without compromising autonomy or equity.
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Methods

Allocation of regulatory responsibilities

RSI works with public agencies and multi-level governance systems to map and optimize the allocation of regulatory responsibilities. Its approach identifies overlaps, gaps, and inefficiencies, then provides recommendations for clarification and coordination. RSI’s impartial analysis and understanding of regulatory ecosystems make it a valued partner in strengthening institutional arrangements for risk management.
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Methods

Communication protocols in emergencies

RSI helps design, test, and evaluate emergency communication protocols that integrate with broader incident management systems. The firm considers audience needs, operational constraints, and regulatory frameworks, ensuring protocols are clear, tested, and scalable. RSI’s expertise in both communication and crisis planning allows for effective integration across platforms.
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Methods

Business continuity planning

RSI supports organizations in developing robust BCP frameworks tailored to sector-specific risks and operational realities. RSI helps identify mission-critical activities, define acceptable downtime thresholds, and develop actionable recovery strategies. The firm emphasizes integration of BCP with enterprise risk management and regulatory expectations.
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Methods

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.
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Methods

Scientific integrity in communication

RSI upholds scientific integrity through careful review, traceability, and methodological transparency in all communications. The firm advises on how to explain uncertainty, cite evidence, and respond to challenges without compromising clarity. RSI’s processes support accountability, credibility, and ethical engagement.
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Understanding methods

Catastrophic event modeling

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.
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