Archive page of posts in this category or categories:
The following posts are in no particular order. They are purposely randomized.
Communication design testing
RSI conducts communication design testing to refine visual and textual content before public release. The firm uses rapid testing cycles, stakeholder panels, and metrics such as comprehension, trust, and likelihood of behavior change. RSI’s testing protocols help clients avoid missteps and ensure their materials work as intended across diverse audiences.
Read More 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 Margaret Wilson
Margaret Wilson is a Senior Risk Analyst at Risk Sciences International (RSI), where she has been a foundational member since the company’s inception in 2006. Drawing on a rare combination of scientific breadth and analytical precision, Margaret has supported and led a wide range of multidisciplinary projects spanning microbial and chemical food safety, prion diseases, climate-related risk prioritization, and global regulatory systems.
Read More 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 Syed A. Sattar
As a Microbiologist with Risk Sciences International, Dr. Sattar contributes his deep expertise in pathogen ecology, environmental microbiology, and infection control technologies to support RSI’s work in health risk assessment and risk mitigation. His insights guide RSI’s contributions to evidence-based disinfection strategies, microbial exposure modelling, and policy-relevant evaluations of infectious disease risk across water, air, food, and surface-contact pathways.
Read More William Leiss
As a Senior Advisor and Associate Expert with Risk Sciences International, Dr. Leiss contributes unparalleled insight into the design, delivery, and evaluation of risk communication strategies for government, regulatory bodies, and civil society. His legacy work in building public trust around controversial science and his decades of thought leadership on consensus-building, science-based policy, and societal responses to risk make him a foundational contributor to RSI’s mission.
Read More Workshop on Evidence Integration December 5-6, 2019
Risk Sciences International is organizing a two day Workshop on Evidence Integration in support of human health risk assessment in collaboration with the McLaughlin Centre for Population Health Risk Assessment at the University of Ottawa and the Center for Alternatives to Animal Testing at Johns Hopkins University. The meeting will be held at the University…
Read More Vulnerability and capacity assessment
RSI conducts vulnerability and capacity assessments using a mix of quantitative indicators and qualitative inputs. It emphasizes local knowledge and stakeholder engagement, particularly in climate adaptation and health equity contexts. RSI’s integrated approach ensures findings are used to inform practical and just resilience-building strategies.
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.
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