Description: This project models and forecasts premature cardiovascular mortality, with a focus on two main risk factors - obesity status and education attainment level. It investigates the role of obesity and education in determining age-sex-specific premature cardiovascular mortality.

Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.

Description: This report provides actuaries and other finance professionals with an example of running the Medicaid Unwinding model with results at the national level on projected changes in both acuity and enrollment for Medicaid and Children’s Health Insurance Program.

Description: This project was developed by the Predictive Analytics Subgroup of the Society of Actuaries (SOA) Research Institute’s Individual Life Experience Committee (ILEC).

Description: This paper provides actuaries with background and scientific knowledge to understand global climate change and climate model projections for the 21st century.

Description: This document discusses the comparison of lifetables generated using classic demographic techniques and the Human Mortality Database method protocol for socioeconomic deciles from 1982 to 2022. It explains differences in estimation methods, calculation steps for lifetables, advantages and disadvantages of each approach, and a comparison of lifetable values.

Description: Call for essays on catastrophe modeling for life & health insurance focusing on impacts of the L.A. wildfires. Topics include risk modeling, insurability considerations, catastrophe event management, and AI's role. Submissions open until June 2025, offering up to $10,000 in awards for selected essays. Publication will follow with author attribution.

Description: This research utilized an interview-based approach that delves into the utilization of alternative data in the Australian life and health insurance markets.

Description: This report outlines a methodology for estimating mortality improvement factors based on data from insured lives. The report details challenges, methodology, results, comparisons with population data, limitations, and potential improvements.

Description: An overview of the objectives of outbreak modeling, and an examination of the various types of models used both to forecast an uncontrolled outbreak, and to estimate the effects of interventions intended to alter the outbreak’s trajectory