Description: Short descriptions of the various articles in the June issue.

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

Description: Behavioral economics is the alternative to the traditional ways (surveys and focus groups) we've been using to try to understand the drivers of customer behavior in the insurance industry. It merges psychology with traditional economic theory, offering insights into individual decision making behavior that go beyond the purely rational model. Within the sphere of health insurance, there are countless behaviors, not just of customers, but of underwriters, medical professionals and claims specialists which may be better explained by behavioral economics. Applying concepts from behavioral economics in live trials it is possible to bring about benefits such as increasing sales and retention rates, improving claims processing and encouraging more accurate disclosure. Swiss Re's global research team partners with its reinsurance clients to incorporate behavioral economics concepts into their letters, websites, forms and scripts by running A/B tests to understand what is driving customer behavior. The team currently has over 100 tests in progress with more than 40 clients, including many in the United States. The partnerships are producing clear business benefits, increasing sales, renewals, health disclosure and turnaround speed for claims payments. These changes are driven by small, inexpensive changes in communications with customers, and we'd like to share some of our insights with you. We've increased upsell rates, disclosure and email open rates, and reduced lapses, turnaround times and appointment no-show rates, to name just a few examples. Behavioral economics is the topic on everyone's lips with insurers and reinsurers all beginning to talk about it in earnest. Our team has been working hard for nearly 4 years and in that time instead of talking, we've been doing, and now we can share with you what a difference behavioral economics can actually make for insurance.

Description: Discusses the three complexity science sessions at the Annual Meeting that were sponsored by the Section.

Description: The PA Symposium will be an immersive experience benefiting entry level actuaries through senior managers, and PA newbies through advanced practitioners.

Description: Introduction to the topics of the issue; and anecdote regarding the value classical versus newer techniques.

Description: Alternative sources of learning available for free or at low cost if you wish to round out your F&F education about machine learning, artificial neural networks, genetic algorithms and the millennia of biological advances we draw from when we use these techniques.

Description: Actuaries provide special subject matter expertise to question (or validate) the results of data analytics models. Other quants often cannot do this.

Description: The author provides an overview of terms that have gained favor in sociology, physics, engineering and anthropology that should be of interest to actuaries.