FDA-iRISK® 4.0 – Free Webinar
This webinar will highlight key features of FDA-iRISK® 4.0, the latest, enhanced version of the free, Web-based risk-assessment system developed by the U.S. Food and Drug Administration. This innovative tool enables users to relatively quickly rank and quantitatively compare risks from multiple foodborne microbial and chemical hazards, and predict effectiveness of various prevention and control measures. It can also foster opportunities for synergy among risk assessors through sharing.
- Food-safety stakeholders (e.g., risk assessors, risk managers, academia, industry, government, consumers) interested in a virtual tour of, and information on how to access, the newest version of a free, Web-based tool that facilitates the development of quantitative risk assessment models.
- Those who might not have extensive mathematical modeling experience, but are interested in applying a quantitative risk assessment approach to microbial and chemical hazards in food.
- Those interested in a tool that is capable of simultaneously and separately considering variability and uncertainty.
Registration is required for this free event. To register, click here.
Risk assessors and other stakeholders can use FDA-iRISK® to estimate public-health impacts, to inform policy and other decisions about food safety. Since the initial launch in 2012, FDA has continued to expand this innovative tool. New features in v4.0 include substantial new capacities for the underlying modeling methods (notably second-order Monte Carlo simulation), data importing and results reporting, and enhancements to the Web interface.
With FDA-iRISK 4.0, users can explicitly include probabilistic uncertainty and variability (by implementing a 2D Monte Carlo calculation structure), incorporate predictive models (for microbial growth and inactivation), and access a range of other modeling enhancements. For example, the user can create a multi-food scenario to capture chronic exposure of the consumer to a hazard found in multiple foods. Users can also compare risks from hazards among consumers with different dietary patterns. The modeling tool has new options for the process pathway (e.g., sampling process type, parallel process model definition), and new dose-response models (e.g., monotonically decreasing dose-response to allow evaluation of health benefits). Users also can import data (empirical distribution) from an external file, import dose-response and consumption models from a shared library, and report results in new ways (e.g., exposure-only ranking). The enhancements to the Web interface include, for example, a feature to notify the user of the status of their simulation, centralized notes for model elements, and the ability to combine scenarios from different repositories in a single risk ranking.