Description: On March 31, 2022, the SOA Research Institute assembled an expert panel to discuss key considerations related to climate risk analysis applied to life and health insurance companies. The panelists were selected to represent a wide and diverse array of opinions, and were encouraged to contribute from their own, individual perspective working in areas such as insurance, reinsurance, state regulation, consultancy, meteorology, and climate finance. A summary of the main discussion points is presented in this report.

Description: To broaden knowledge in emerging issues and topics, the REC is seeking researchers to submit one or more proposals. Sample topics below have been identified as focus areas by the REC. The description of each of the topics has deliberately been written to be brief and open-ended to give researchers sufficient latitude in the development of their proposals. Researchers should not feel constrained by these topics, as many other relevant topics continuously emerge.

Description: In 2024, 27 disasters in the United States resulted in damages exceeding $1 billion. These disasters included two winter storms, one wildfire event, one drought/heatwave event, one flooding event, six tornado outbreaks, 11 severe weather/hail events and five hurricanes. The costliest of these events was Hurricane Helene, which resulted in 219 deaths and cost $79.6 billion , although the early 2025 wildfires in the Los Angeles, California area threaten to exceed this economic cost. In Canada, insured catastrophic losses totaled C$8.5 billion in 2024, making it the costliest year on record for the country. Outside the United States and Canada, Cyclone Chido killed more than 1,000 people, a heatwave in Bangladesh impacted 33 million people and a drought in Columbia has had a significant impact on the economy there .

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.