Description: The SOA is seeking researchers to explore considerations within the LGBTQ+ community impacting employer-based health benefit designs. Review details on the background, research objectives, proposal requirements, selection process, submission guidelines, and project conditions.

Description: This report is presented in the form of a Tableau dashboard and is the sixth public release from this report series and contains the results of an excess mortality analysis for the fourth quarter of 2021. Data from 30 companies representing approximately 69% of the industry’s face amount inforce were included in the analyses in this report. A total of 3.2 million death claims from individual life policies from 2015 through December 31, 2021 make up the basis of the analyses. The report also compares the experience under COVID-19 of the insured population versus the general population.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA) Research Institute, and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. This report documents a high-level analysis of the claims that have been reported.

Description: This Society of Actuaries, working with LIMRA, Oliver Wyman and the American Council of Life Insurers, is releasing a series of pulse surveys aimed at obtaining a quick read on how the COVID-19 pandemic is impacting insurance companies and reinsurers.

Description: A Brief covering the impact of COVID-19 on mental health.

Description: This document is a Request for Proposals (RFP) outlining a proposal request on the impact of the U.S. drug abuse epidemic on mortality, focusing on opioids. It provides details on the background, purpose, research objectives, proposal requirements, selection process, and conditions for submitting a proposal.

Description: Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, long suspecting this was a field with potential for him.

Description: In recent years, Artificial Intelligence (AI) has taken an increasingly prominent role as a potential tool for improving processes from standard internet searches to its use in improving actuarial modeling through machine learning and other applications. The use of AI models and machine learning could lead additional and ongoing improvement of predictive capabilities in health care reserves resulting in potentially more accurate reserve estimates, financial statements and decreases in model variance.

Description: The Living to 100 monograph is composed of the papers, essays, panel discussions, teaching and keynote sessions presented at the symposium.