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.

RSI facilitates adaptive capacity and vulnerability workshops as part of its work in climate risk, emergency preparedness, and health equity. It ensures participation from affected groups, frontline actors, and institutional partners. RSI captures insights in structured outputs—such as risk maps or priority lists—that inform both planning and resource allocation.

RSI designs and facilitates expert panels to support structured, transparent deliberation on complex or uncertain risk topics. Its team defines scopes of work, manages conflict of interest declarations, and integrates panel outcomes into formal risk products. RSI’s facilitation ensures both scientific rigor and stakeholder credibility in panel-based methods.

RSI applies comparative analysis to help clients understand how their approaches align with, or diverge from, global norms and emerging standards. The firm synthesizes data from scientific literature, regulatory databases, and institutional experience to highlight strategic options and policy consequences. Whether comparing chemical thresholds, response systems, or governance models, RSI brings methodological discipline to comparative framing.

RSI conducts policy surveillance to support clients in environmental regulation, public health law, and product safety. It builds structured inventories, applies classification schemes, and visualizes policy change over time. This method supports RSI’s understanding of the regulatory context in which technical risks are embedded.

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 builds and interprets statistical models across a wide range of risk domains. Its statisticians collaborate with subject matter experts to ensure relevance, reliability, and transparency. RSI provides clear documentation of model design and assumptions, enabling clients to use results confidently in regulatory, operational, or strategic contexts.

RSI applies uncertainty management frameworks tailored to client context and risk type. Its analysts identify epistemic and aleatory uncertainties and embed structured responses within decision processes. RSI ensures that frameworks are well documented, stakeholder-informed, and usable in both technical and public-facing settings.

RSI uses pathway mapping to support both qualitative and quantitative risk assessments. Whether mapping chemical exposure, behavioral change, or regulatory influence, RSI constructs clear, defensible diagrams and narratives. These help clients visualize risk processes and identify leverage points for mitigation or monitoring.

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.