Description: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

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: Cost Effectiveness of Tumor Genomic Analysis and Immunotherapy

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

Description: The Society of Actuaries (SOA) Research Institute revisits COVID-19's impact on future U.S. mortality with insights from a multidisciplinary panel of experts. Discover how new variants and other causes of death may influence future mortality trends.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: The document is about the post-wildfire drinking water crisis and its implications for the insurance industry. It discusses the contamination of drinking water systems by wildfires, remediation strategies, financial considerations for the insurance industry, and potential contributions from the actuarial community.

Description: This methodology guide for the Long-Term Care Population Research Model explains the model's purpose, framework, data sources, user inputs, calculations, and outputs related to public long-term care benefits.

Description: The SOA Research Institute seeks proposals and essays on actuarial aspects of 401(k) plans, including similar plans like 403(b) and 457. Topics include investment impact, participant behavior, plan features, and AI's role. Submissions aim to enhance understanding and future research on retirement savings adequacy and system improvements.

Description: This is a request for data contributions for a study on term conversion incidence and post-conversion mortality and lapse experience from 2009 to 2023. It outlines the purpose, scope, and process of the study, data submission requirements, study results, benefits to participants, and data access and ownership details.