Archive page of posts in this category or categories:
Methods, Understanding methods
The following posts are in no particular order. They are purposely randomized.
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.
Read More Participatory risk assessment
RSI designs and facilitates participatory risk assessments that balance technical rigor with lived experience. It employs methods such as community workshops, co-design mapping, and structured deliberation. RSI ensures that local knowledge informs risk prioritization and that stakeholder concerns are reflected in actionable outcomes, especially in environmental health and climate resilience contexts.
Read More Policy development for risk mitigation
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.
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 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 Surveillance protocol design
RSI supports clients in designing risk surveillance systems that are tailored, scalable, and grounded in decision needs. This includes indicator selection, threshold development, and integration with existing systems. RSI ensures that surveillance protocols are practical, scientifically valid, and usable across sectors and jurisdictions.
Read More Precautionary and proportionality principles
RSI helps clients apply precaution and proportionality in regulatory design, especially where emerging technologies or data gaps create ambiguity. The firm clarifies legal frameworks, facilitates stakeholder debate, and documents rationale for action. RSI’s guidance ensures defensible decisions that protect public welfare without stifling innovation.
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