Description: This article describes the use of artificial society modeling to gauge the effect of insurance agent population and effectiveness on individual life insurance sales. This is part of an ongoing effort to extend the use of one type of agent-based modeling beyond health care, but is far from a practical application at this point.

Description: 3rd Annual iPad contest announcement

Description: This article introduces unsupervised methods: modeling methods that do not depend on picking an independent variable and dependent variable. Such methods are used, among other things, for determining how entities are clustered.

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: In How Significant Is Statistical Significance? The author discusses the p-value that is often used to determine significance. Sometimes we place too much reliance upon canned metrics and lose the ability to notice when something is mathematically sound but not sensible. The article provides three simple examples that require no complicated mathematics to follow yet provide a basis for some deep thought about statistical significance versus substantive significance.

Description: This article explains how to create more maintainable models using abstractions by relating it to option, machine learning and machine intelligence models.

Description: Impact investing is investments in “companies, organizations and funds with the intention to generate social impact alongside a financial return”.

Description: Process of building a predictive model and related considerations.

Description: This article is a basic introduction to information theory with the goal of explaining the maximal information coefficient.

Description: Read the June 2017 issue of Predictive Analytics and Futurism published by the Predictive Analytics and Futurism Section.