3 day course
- Day 1: Fundamentals of risk assessment: Problem formulation (hazard identification, source-pathway-receptor models), consequence assessment (fault-tree analysis, Monte Carlo simulation, risk ranking, expert judgment), probability assessment and measuring uncertainty
- Day 2: Risk and uncertainty management: Risk characterisation (comparing chemical exposure limits, understanding spatial and temporal extent, assessing cumulative risk), dealing with uncertainty (uncertainty factors, probability density functions), appraising management options and understanding the principles of risk management (ALARP, Precautionary Principle)
- Day 3: Environmental decision-making: Structuring the environmental decision process, (multi-dimensional considerations, multi-criteria decision analysis), stakeholder and public engagement, implementing risk management, monitoring residual risk, risk and uncertainty communication.
On successful completion of this module the delegate will:
- Understand the concept of risk and uncertainty across the environmental domain
- Use a number of quantitative and qualitative tools to measure risk
- Identify and apply the appropriate tool to any given risk; measure uncertainty
- Communicate risk and uncertainty
- Understand the role of risk-based evidence in policy making
- Identify evidence appropriate for supporting environmental policy
- Develop effective strategies for communicating risk and uncertainty.
The course is open to all PhD students within the Environmental and Natural Sciences and Engineering. However, priority will be given to NERC funded PhD students. This short course is part of the NERC Postgraduate and Professional Skills Development Course.
To apply please provide your name, institution, funding body (by percentage), title of thesis and up to 200 words briefly describing your research. This information will help us to understand participant needs and to tailor activities.