Description: As long-term care enters into its fifth decade, the product continues to evolve. Current trends as well as innovative product designs pose many challenges as carriers seeks to model long-term care.

Description: Virtual - Session 2B: SOA Research Report - Incorporating SDOH in Risk Adjustment

Description: Session 2F: Artificial Intelligence and Actuarial Modeling - Ask an Expert!

Description: Session 2B: Pharmacy Risk Mitigation - Pricing, Programs, Pools, and Performance Guarantees

Description: Session 10F: Debating AI - Valuable Tool or Overhyped Trend?

Description: Session 1D: Meeting the Mark - Predicting MA Stars Outcomes with Monte Carlo Simulations

Description: A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory.

Description: This article offers a comprehensive approach for “lean” model risk management (MRM), i.e., the management of an MRM program with few or possibly one employee devoted to the role. It explores key objectives of an MRM program, essential process elements, tips for efficiency, and examine the use of artificial intelligence (AI) in the models themselves and as a tool to increase efficiency of the program.

Description: The editorial board of the North American Actuarial Journal (NAAJ) announces the recipient of the NAAJ Annual Prize for the best paper published in 2023, “The Economic Impact of Extreme Cyber Risk Scenarios,” coauthored by Martin Eling, Mauro Elvedi, and Dr. Greg Falco. The NAAJ is the scholarly journal of the Society of Actuaries (SOA).

Description: This document is a Request for Proposals (RFP) issued by the SOA Research Institute focusing on advancing catastrophe modeling and sustainability in Asia, particularly in ASEAN markets. It outlines research objectives, proposal requirements, selection process, submission details, and other pertinent information for interested researchers.