Description: Futurism section members participated in this Delphi study, which had multiple choice questions on a range of life, health, economic and professional issues. The article provides background on the study and comments on the predictions of participants for 2010 (and 2050) in light of experience to date.

Description: The author, Mary Pat Campbell, participated in the 4th season of the Good Judgment Project, a prediction tournament. She explains the basic metric used for evaluating predictions in the contest and some of the lessons learned from her participation.

Description: Matrix decomposition techniques are used to find main features of a dataset. These features can be used to describe the data or to find clusters of objects. The decompositions have problems when the matrices have missing data or are from different exposures. This article examines the issue and some papers dealing with it.

Description: Summary of the book "Thinking, Fast and Slow" by Daniel Kahneman.

Description: The Future of Insurance is described, as seen by some heads of start-up FinTech companies.

Description: This story won the Predictive Analytics and Futurism Section prize for most novel prediction forming the basis for the narrative in the 2019 Actuarial Speculative Fiction contest.

Description: Discusses how 'insignificant' changes in assumptions can have very significant affects.

Description: View the complete issue of the July 2014, Forecasting and Futurism newsletter.

Description: Forecasting & Futurism

Description: Jeff Sagarin is one of the most well-known figures in the sports analytics world, with his sports ratings appearing in USA Today for over 30 years. Few may know that he started his career in the actuarial world, even passing three exams before his sports ratings took off. This article explores the parallels between the challenges of developing sports rating systems and the challenges that actuaries face every day.