The College of Physicians & Surgeons of Alberta (CPSA) commissioned a systematic review and meta-analysis to support evidence-informed decision-making around age-related cognitive decline among practicing physicians. The initiative was led by CPSA’s Physician Health Monitoring Program (PHMP), which sought to ensure continued competence and public safety in the context of an aging medical workforce.

In its 2007 report on Toxicity Testing in the 21st Century: A Vision and a Strategy, the US National Research Council  (NRC) highlighted need for more rapid toxicity testing strategies in order to expand the coverage of the large number of chemicals for which toxicological data is lacking. This need was further underscored by the NRC in…

Risk Sciences International CEO, Greg Paoli and RSI senior experts Emma Hartnett and Paul Price, have co-authored a new peer-reviewed publication highlighting the critical role of probabilistic exposure assessments (PEAs) in protecting public health. Supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), the study demonstrates how PEAs provide a more…

Jennifer Go holds a BHSc in Health Sciences and an M.Sc. in Epidemiology, both from the University of Ottawa. Her academic work has spanned epigenetics, mental illness, and environmental exposures. Joining Risk Sciences International in 2017 as a Risk Analyst, she specializes in epidemiology. Jennifer's skill set includes systematic reviews, data manipulation, and statistical modeling. She has worked on diverse projects, ranging from pharmacoeconomic evaluations to analyses involving large datasets and electronic health records.

When disaster strikes, wildfire, flood, hurricane, earthquake, the financial reflex is predictable: federal governments step in with billions in relief and reconstruction funding. Communities rebuild, political leaders make commitments, and the cycle resets until the next catastrophe. This pattern has held for decades, but it is showing signs of strain.

Dr. Al-Zoughool has maintained a long-standing relationship with Risk Sciences International, both as a scientific collaborator and as a co-investigator on complex international projects. His work with RSI focuses on high-level public health risk modeling, mechanistic data analysis, and toxicological risk assessment of major environmental contaminants in air, soil, and water, including formaldehyde, lead, and 1,4-dioxane. His research also extends to methodological innovation and the development of evidence-based strategies for environmental and occupational health policy.

RSI supports clients in defining and justifying acceptability thresholds that are scientifically sound and policy-relevant. The firm draws from regulatory precedents, stakeholder input, and empirical data to tailor thresholds to context-specific needs. RSI ensures that these thresholds are transparently documented and aligned with broader risk governance frameworks, improving the defensibility and clarity of management decisions.

RSI applies calibration and validation techniques in its exposure models, public health forecasting tools, and environmental simulations. It uses historical datasets, expert benchmarks, and cross-validation to test performance. RSI balances precision with interpretability, ensuring clients understand both what models predict and how well those predictions reflect reality.

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.

Under the supervision of Director Purcell and his cabinet, the six-month project began with an internal review of attitudes, projects, responsibilities and management reporting lines. The work uncovered multiple inconsistencies and inefficiencies. What's more, there were very real risk consequences at the operational level.