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 SOA’s Artificial Intelligence Working Group explored the role of AI in actuarial practice, focusing on risk management, regulatory compliance, and ethical considerations. The discussion highlighted the importance of the NIST AI Risk Management Framework and Generative AI Profile in ensuring responsible AI development and deployment in insurance and healthcare.

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: The study covers the extent of the use of big data or data analytics to enhance insurer operations, including sales, distribution, product development, underwriting and claims management within various markets within the Asia-Pacific region where the SOA has a strong and growing member population.

Description: Society of Actuaries Research Brief Impact of COVID-19, May 1, 2020

Description: As part of its ongoing effort to provide useful information on COVID-19, the Society of Actuaries issued a brief survey to its Investment Section members to gain insight as to how COVID-19 is impacting investment professionals. The survey results are intended to help members compare their thinking and future expectations of COVID-19 with their peers.

Description: The goal of the third survey in this series is to collect and disseminate information on best practices around sales and the issuance of new business. The survey was directed at staff directly involved in assessing the impact of recent events on new business processes.

Description: Catastrophe & Climate Strategic Research Program Newsletter - April 2021

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: This report highlights major weather stories that unfolded across the month of November 2010.