Ensuring the safety of the food supply relies upon an understanding of the relationships between the components of the supply and their interaction with, and influence on hazards present in food. Clients need to consolidate, evaluate, and interpret the diversity of data and information available from the perspective of safety and risk. The complexity of the food supply makes this process almost impossible without the application of quantitative modelling to describe the relationships in the food chain that determine the risks to the consumer from contaminated food (whether that be microbial or chemical contamination). Clients need to leverage to power of models to explore relationships not readily observable, and to determine cost-effective risk-mitigation options that benefit consumers.

Clients need to utilise modeling to examine and understand the components of water treatment in terms of the impact on hazards and the resulting impacts on consumers. Clients need to understand the contribution of treatment options to set risk asnd safety based health goals for the water supply, or to make cost-effective treatment plant design decisions, that provide an acceptable level of public safety while balancing the potential risks posed by treatment options available to operators.

Safeguarding air quality is a fundamental objective of health agencies the world over. Improving our understanding of air pollutants and health requires robust evidence on exposures among vulnerable and sensitive populations, expert-based evaluation of diverse types of scientific evidence, scientifically defendable approaches to conducting weight of evidence assessments, and quantitative skills for deriving safe exposure levels.

Organizations responsible for placing products on the market must ensure that these products meet defined safety standards, particularly when human health or environmental exposure is possible. Whether evaluating therapeutic goods, industrial products, or consumer items, clients must identify and quantify hazards, assess risk scenarios, and justify product claims in regulatory, legal, and public domains.

Preventable harm in workplaces or public spaces can trigger regulatory enforcement, reputational loss, service disruption, or long-term loss of public trust. These harms may stem from failures in equipment, processes, human behavior, or oversight—and are often foreseeable through systematic risk assessment. For organizations responsible for public environments, infrastructure, or service delivery, risk-based safety planning offers a path to pre-empt injury, legal exposure, and crisis escalation.

Risk-based frameworks ensure decisions are systematic, defensible, and proportionate. Institutionalizing these practices improves organizational integrity, efficiency, and resilience. A risk-based framework provides the structure and processes that are necessary for effective decision-making. Systematic and consistent risk decision-making that supports all the relevant scientific evaluations and stakeholder considerations ensures that risk decisions can stand up to scrutiny, and ultimately makes risk-based decision-making more efficient.

Clients seek credible, neutral facilitation of complex, multi-stakeholder processes where risk considerations must be openly surfaced, transparently debated, and constructively resolved. Whether the objective is intergovernmental alignment, regulatory modernization, cross-sector agreement, or collective action planning, they require convening approaches that hold legitimacy across scientific, operational, and political dimensions. Many of these settings involve divergent priorities, contested authority, or reputational risk—making it essential to identify where interests and exposures intersect through the lens of shared and similar risks.

Emergencies test both preparedness and system resilience. To respond effectively, organizations must identify capability and capacity gaps and optimize resource allocation. Understanding the scale of the emergency—and the resources required to match it—is critical. Decision support tools and models that can shape both advance planning and real-time response, ultimately determining the scope of impact and the speed of recovery, to protect people, property, and the environment.

Operational resiliency ensures essential functions continue while navigating risks that may impact performance. Disruption in supply chains, infrastructure, or key operations creates cascading risks that threaten continuity and trust. Resilient systems require proactive identification of weak links and mitigation options.

Strategic foresight, also referred to as visioning, informed by risk science enables institutional executive leadership and boards to anticipate future conditions, plan under uncertainty, and navigate long-term transformations. Clients seek ways to integrate foresight into governance, opportunities, and system design to enhance resilience and credibility.