Description: The author recounts his experience as a keynote speaker at the Actuarial Research Conference and provides advice to young actuaries to present complex subjects in an understandable manner.

Description: The editor of the newsletter provides a running list of articles included in the issue highlighting such topics as the applicability genetic algorithms, the power of group dynamics, judgmental forecasting, improvement in mortality and complexity science.

Description: What is the future of the Actuarial Profession and the Insurance Industry? Is it possible that the Actuarial Profession will become more empowered by adopting emerging technologies?

Description: Panel discussion from the May 1982 Society of Actuaries meeting in Colorado Springs covering developments in Education and Examination. Topics discussed included: 1. Goals, purposes and objectives of actuarial education in general, and the Society's Education and Examination E & E program in particular. 2. Critique of the current E & E system. 3. Plans for and future directions of actuarial education, including the role of the academic community.

Description: Actuaries of the future have to embrace the ideas and technologies that lie ahead.

Description: A review for the book Younger Next Year by Chris Crowley and Henry Lodge, M.D. and how it ties with the Actuary of the Future Section by Dave Snell. Dave relates to his own experience and finds that among a list of activities that could make you younger, his volunteering experience with SoA certainly helped make him feel a lot better. The article concludes that we have control over how we age and let us all make our future “Strong, Fit, and Sexy—Until You’re 80 and Beyond.”

Description: Actuaries have the opportunity to transform to a new role that utilizes predictive analytics and new data sources such as epigenetics, to better humankind.

Description: Alternative sources of learning available for free or at low cost if you wish to round out your F&F education about machine learning, artificial neural networks, genetic algorithms and the millennia of biological advances we draw from when we use these techniques.

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.

Description: Second article in a series on effective writing: focuses on writing for Chinese readers if English; and on writing for English readers if Chinese.