Description: 1. A simplified description of how a genetic algorithm works (requiring no knowledge of biology) and how to build your own. 2. A free Excel workbook that allows you to solve problems without doing any coding; or to let you extend the existing code for your own special needs.

Description: Given the limits of classical actuarial modeling and forecasting techniques, this newsletter contains articles discussing several ways to supplement your toolset.

Description: Editorial for the May 2019 issue of Predictive Analytics & Futurism newsletter.

Description: Actuary of the Future Section Chair Dave Snell shares some insights on the section's 18 years and provides a preview of the year to come.

Description: A review for the book Younger Next Year by Chris Crowley and Henry Lodge, M.D. and how it ties with the Actuary of the Future Section by Dave Snell. Dave relates to his own experience and finds that among a list of activities that could make you younger, his volunteering experience with SoA certainly helped make him feel a lot better. The article concludes that we have control over how we age and let us all make our future “Strong, Fit, and Sexy—Until You’re 80 and Beyond.”

Description: Feature article providing an in-depth look at using genetic algorithms.

Description: Each month in the media we learn of another set of jobs being automated into oblivion or replaced by disruptive technologies. We see taxi drivers replaced by Uber and Lyft now, and soon by self-driving cars. An Oxford University study of 702 occupations showed insurance underwriters in 698th place, with a 99% probability of computerization. They were safer for obsolescence by automation than only four occupations such as hand sewers and telemarketers.

Description: Editorial Introduction to the issue.

Description: A good primer on how clinical studies should be conducted and how statistics are used and misused to influence us.