To support more consistent and quantitative assessments of new micro-organisms under the Canadian Environmental Protection Act, Health Canada's New Substances Program (NSP) sought to refine the tools and processes within its Microbial Risk Assessment Framework (MRAF). The NSP had previously collaborated with RSI to review and modernize the MRAF and develop a supporting computational tool. However, further work was required to validate the tool and ensure it aligned with current program needs and regulatory expectations.

The Financial Consumer Agency of Canada (FCAC) engaged Risk Sciences International to provide strategic advisory services aimed at enhancing its regulatory compliance model through risk-based methodologies. FCAC’s objective was to explore new approaches that would integrate digital tools and data-driven strategies into its compliance activities, in line with its strategic goal of strengthening consumer protection in financial markets.

In response to increasing public concern about the historical use of McIntyre Powder—an aluminum-based substance once administered to miners in Ontario to prevent silicosis—the client sought expert guidance on managing risk communication related to potential health implications. Widespread media coverage and advocacy had raised public awareness and intensified scrutiny, particularly about possible links between aluminum exposure and long-term respiratory and neurological conditions.

Facing renewed challenges in securing a reliable domestic plasma supply, Canadian Blood Services sought support to apply a Risk-Based Decision-Making (RBDM) framework. The objective was to assess the value and implications of expanding domestic plasma collection and processing capacity in response to the emergence of commercial plasma operations that export plasma to international markets.

The project began with a series of consultations with UN-Habitat at UNON in Nairobi. In addition to Cemil Alyanak and Nicholas you, the project grew to include many key stakeholders both within UN-Habitat and from other organizations. Among the key organizations included in the early stages were United Cities and Local Governments, Cities Alliance, the World Bank, Habitat for Humanity, Cisco, and UN agencies interested in urban health, notably the World Health Organization.

The project centered on supporting the development of a methodology that could eventually be implemented as an Artificial Intelligence (AI) or Machine Learning (ML) process. The objective was to help formalize and potentially automate how professional judgment is applied when determining the risk significance of non-compliant findings within the Canadian nuclear regulatory framework. Specifically, the…

An independent regulatory organization responsible for oversight of Alberta’s safety codes system sought to strengthen its capacity for risk-based decision-making. The organization aimed to ensure that regulatory actions—particularly in the area of petroleum storage tanks—were guided by clear, evidence-based prioritization methods that protect public safety while making effective use of resources. The project began with…

Environment and Climate Change Canada, with Health Canada, wanted to understand perceptions of the health risks from smoke from wildfires and from residential burning (winter heating using wood stoves, and fireplaces), and public health communication approaches and messages used in these contexts. This information would support revisions of the health messages used in the Air Quality Health Index (AQHI). The AQHI expresses the health risk associated with three common urban air pollutants, and is calculated at monitoring stations in communities across Canada to inform the public of the risk level of current local air quality conditions.

To enhance the oversight of cannabis production under its regulatory mandate, the Cannabis Directorate sought expert support in developing a risk-based decision-making framework tailored to its compliance and enforcement responsibilities. The directorate aimed to better assess and respond to non-conformance with Good Production Practices (GPP) as defined in the Cannabis Act and Regulations, using a data-driven approach.