Description: The Health Care Cost Institute (HCCI) recently released their annual health care cost and utilization report on February 13, 2020. This report illustrates employer group commercial health care costs and trends from 2014 – 2018.

Description: This report has been written to provide a primer on the measurement known as R0 (pronounced “R-naught”), which is commonly used in epidemiology. The R0 metric has received extensive press coverage since the outbreak due to its importance in the measurement of the spread of COVID-19.

Description: This report explores two LTC insurance product concepts. The concepts were developed as part of an effort to create innovative new LTC insurance products.

Description: 2015-2024 Group Long-Term Disability Claim Termination Study Data Request

Description: Risk Management and Climate Risk

Description: In this report, we consider high-level results from provisional mortality data released from the U.S. Centers for Disease Control and Prevention (CDC) for 2021, including looking at changes by sex and age group.

Description: The integration of artificial intelligence (AI) into actuarial practice has accelerated dramatically in recent years, potentially transforming how actuaries approach traditional tasks and creating new opportunities for professional growth. This evolution has generated significant enthusiasm about increased efficiency, deeper analytical capabilities, and novel insights that were previously unattainable. Simultaneously, it has raised legitimate concerns about skill obsolescence, appropriate governance, control limitations, and the changing nature of actuarial judgement in an AI-augmented environment. While much has been written about the theoretical possibilities of AI in insurance and risk management, there remains a gap in our collective understanding: the actual, day-to-day experiences of practicing actuaries as they navigate this technological shift. There is an interest in learning from others’ experiences in implementing AI tools, realizing benefits, encountering challenges, and understanding how AI is altering actuarial workflow.

Description: Hardly a day goes by without a feature story about the latest reverberation from the expanding use of Artificial Intelligence/Large Language Models (tools) in a variety of settings. The pace of use (and misuse) of these tools, such as ChatGPT and Bard, has been explosive and shows no sign of abating. Many experts would argue we are on the cusp of a permanent paradigm shift in teaching/academics and overall application of technology. With these issues in mind, the Society of Actuaries (SOA) Research Institute’s Aging and Retirement program is interested in an exploration of this topic from a variety of perspectives. The result of this effort is intended to provide a useful resource for readers to become well-grounded on the issues surrounding the impact of these tools in a retirement context and set the stage for future research.

Description: The SOA is interested in understanding how companies are performing scenario analysis, thinking through how various stakeholders (regulators, general public, competitors) could be reacting to a large-scale large-impact event over a multi-year period.

Description: The document is a research call for proposals seeking researchers to produce a report on the uses of synthetic medical claims data for actuaries. It outlines the background, purpose, research objectives, proposal requirements, selection process, and conditions for submission.