Description: This project pertained to the development of anew Actuarial Science Learning Community model, involving four types of students' engagement: academic coursework, residential life, research, and professional development. The model provided students an immersive exposure to Data Science from the Actuarial perspective, which will result in Actuarial students greatly expanding their skill set and future job opportunities, at the intersection of Actuarial Science and Data Science.

Description: Sponsored by the SOA's Product Development Section, Financial Reporting Section, Committee on Life Insurance Research and the Canadian Institute of Actuaries, this report examines the application of credibility theory in the Canadian life insurance industry.

Description: One of the evolving datasets with the COVID-19 Research Database is the Datavant population mortality information. This report notes the features of the database, discuss their potential use and limitations, examines data reliability and reviews it potential use as an additional data set and input to mortality improvement models.

Description: Pharmacy prices are top of mind for many consumers, policymakers, and payers. While there have been many efforts to reduce pharmacy costs over the years, many believe these efforts only helped us cope with the symptoms of the problem without providing a comprehensive cure for the underlying causes of this problem. The Society of Actuaries Health Section sponsored this Pharmacy Partnership Forum to gather multi-disciplinary experts in the pharmacy ecosystem. This report shares the insights and learnings that emerged from this group of health economics outcomes researchers, clinical pharmacists, medical doctors, health actuaries, benefits consultants and brokers, and their collective thoughts on advancing this exploration for society’s benefit.

Description: Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: The Modeling Section, Predictive Analytics and Futurism Section, Committee on Life Insurance Research, Product Development Section and Reinsurance Section releases a report that can help to educate actuaries on how best to implement predictive modeling into relevant areas of actuarial practice. This report includes a review of existing literature and current industry practices, as well as a comprehensive set of considerations for predictive modeling in insurance applications.

Description: This project explores various design and implementation details for the Spend Safely in Retirement Strategy (SSiRS).

Description: Non-guaranteed elements are parameters of life insurance and annuity polices that are not fixed when the policy is issued but may be changed from time to time by the insurance company.

Description: Despite the advent of COVID-19, autonomous vehicle (AV) market leaders continued to invest in technology and to establish partnerships with vehicle original equipment manufacturers (OEMs). This report provides a 2021 update on autonomous vehicles.

Description: This report covers credit risk loss experience during the period 2003 through 2015 on non-Rule 144A private placement securities (and, with limited exceptions, some specific types of Rule 144A bonds) held by participating companies of the life insurance industry.