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: Specifies 6 rules which help shape not only good crime-scene analysis, but good futures practice, as well. These rules address project management and control.

Description: A summary of the activities of the Forecasting & Futurism Section, including research initiatives, participation in Delphi studies and sponsoring of seminars.

Description: The purpose of this article is to provide a refresher on regression and times series models so that actuaries will feel more comfortable building forecasting models.

Description: The Future Ain't What it Used to Be...

Description: This article shows how to use a RBF Neural network to predict if a breast tumor is malignant. The network is trained using a genetic algorithm that uses C# multi-threading.

Description: Describes the next generation of predictive analytics

Description: Full issue of Predictive Analytics and Futurism July 2016 newsletter.

Description: Overview and review of books to teach yourself about deep learning.

Description: Describes what a Delphi study is and why actuaries might want to use one.