Description: This article discusses two perspectives covering the experience of attending and presenting at in-person conferences after COVID-19. It also briefly covers the value of attending conferences, volunteering, and networking.

Description: This article explores the challenges of writing exams during the COVID-19 pandemic and lessons learned.

Description: This article focuses on the recent surge of digital medicine data being seen in the healthcare industry. While an increase in data can generally be perceived as good, it is important to remember that current privacy practices need to be maintained, if not strengthened, to continually protect healthcare members. The COVID-19 pandemic helped fuel digital medicine data, but it also created new avenues for privacy to potentially be compromised (i.e. healthcare employees using personal devices while working from home). Digital medicine data is a very powerful asset, but it is also a massive responsibility. If mishandled, this data can cause more harm than good.

Description: This article proposes that using common techniques employed by actuaries to manage risk like economic capital could be effective in mitigating financial losses that face the airline industry during COVID-19.

Description: Discusses results of author's recent survey of professionals in the viatical and life settlement, a.k.a. secondary insurance industry, to discover how actuaries could best serve this particular business.

Description: In early 2015, the Actuary of the Future section conducted a survey aiming to determine which computer programs actuaries use, and how that usage of these programs differs among disciplines. This article examines the results of this study.

Description: Interview with John Robinson, SOA President-Elect and Vice Chair, on several topics of importance to the SOA.

Description: Contest winning story from the SOA 2021 Speculative Fiction contest.

Description: Results and discussion of the SOA Member Satisfaction & Engagement Survey conducted in early 2014.

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.