Events

The Section on Risk Analysis of the American Statistical Association invites you to attend a Symposium on Risk Analysis at NC State University May 10th and 11th. This symposium features experts in climate change risk, high throughput toxicity testing, genetic environmental risk, actuarial risk, social media terrorism threat detection, and adversarial risk. The symposium is designed so that the attendees can learn about problems within and outside of their current research areas, and it is geared towards networking and solving problems through small breakout sessions.

Join us this spring for our QRA with R training. Our class will focus on applied risk modeling methods using the R statistical language and will cover the core principles of QRA and Monte Carlo simulation modeling. Both Bayesian and frequentist methods will be discussed.

Integrating large quantities of data from multiple, disparate sources can create new opportunities to understand complex environmental health questions. However, combining new types and larger quantities of data to inform a specific decision presents many new challenges. For example, investigators must develop methods to reliably integrate data from designed experiments with data re-purposed from other uses, such as electronic health records, geo-spatial data sets, and crowd-based sources.