Description: Hear one-off content and semi-regular content from Sections.

Description: Contact SOA

Description: Machine learning models are not black-boxes; these models can easily be interpreted using tools like SHAP, LIME and Anchor. These tools can facilitate the understanding of the model and the business problem. We can used these tools to build better models and communicate how predictions are generated. This article demonstrates their use in a mortality model.

Description: Risk Adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles, their underlying methodologies and assumptions are quite different. Due to recent events, such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with Risk Adjustment program changes and understanding the commonalities and differences of these two government Risk Adjustment programs is important to our health actuaries. This article compares and contracts these two risk adjustment programs’ methodology and assumptions as well as special considerations due to serving different populations. This is Part II of the two articles on this topic.

Description: Actuaries are Known as highly ethical. Data Science poses ethical challenges for our profession.

Description: Explore research reports and studies, innovative research projects and collaborative efforts with other organizations.

Description: Link to the resource center block

Description: Global trends, insights, and initiatives.

Description: This article discusses Life-Cycle Saving and Investing for retirement. The article reviews how actuaries can add to the discussion of what is wanted and needed in retirement and how traditional replacement ratios can be linked with consumption targets.