Description: The chairperson of the section council issues call to members asking them to volunteer. He indicates that in particular, with the emergence of complexity science and other underutilized tools, there is plenty of room for volunteers, especially open spaces for new thought leaders.

Description: This article sheds light on the various ways machine learning can uncover patterns within data to add unique value and insights to businesses.

Description: An introduction of predictive modeling techniques that are applicable to insurance industry, including generalized linear model (GLM) and classification and regression tree model(CART). Other models such as data clustering, neural network, and support vector machine (SVM), are also briefly discussed.

Description: A review of the Bridging the Gap Series: Application of Predictive Modeling in VA/FIA Risk Management at the Equity Based Guarantees Conference in Chicago.

Description: Summary of all issue articles, with theme of recognizing limits of classical actuarial methods.

Description: Predictably Irrational, by Dan Ariely, is considered a seminal work in behavioral science. This book review gives a chapter by chapter synopsis of the book.

Description: Given the ubiquity of judgmental forecasting, it is important to understand the potential biases inherent in human judgment—the traps that can snare us—and to learn methods and best practices to avoid them. The aim of this article is to help readers with these goals.

Description: This article is about how insurance companies are deploying insurance technologies.

Description: July 2012 issue of Forecasting & Futurism Newsletter

Description: Futurists acknowledge the power that past performance might bring to the future, but they also explicitly recognize the possibility of ‘wild cards’ which might change the picture completely.