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.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: An in-depth look at how actuarial skills and competencies picked up in the field can be applied to topics that aren't traditionally actuarial - with this article focusing on card counting in the casino game blackjack.

Description: Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, and the available visualization tools help to communicate ideas. In this article, I use a traditional actuarial problem, mortality modeling, as an example.

Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: Argues that the financial and statistical data on loan restructuring practices collected within the last two years, since the 2008 collapse of the housing market, could be evaluated by actuaries and become a base for improving the existing models and developing new ones.

Description: Provides a simplified explanation of the modeling and statistical terms currently in use by the profession, and provides a list of publications worth reading in regards to complexity science plus a list of free software.