Description: This article outlines Georgia State University’s (GSU) innovative approach to actuarial science education in response to the evolving demands of the profession, including data science, AI, and climate risk. It highlights a comprehensive pipeline that supports students from early career exploration through high school outreach, into personalized undergraduate academic paths, and onto professional readiness. Key features include project-based learning integrated into core actuarial courses, hands-on technical training in R and Python, and industry-aligned case studies.

Description: A special issue of the Annals of Actuarial Science, focusing on insurance data science, was published on July 1. As explained by the editors—Katrien Antonio (KU Leuven), Christophe Dutang (Université Paris Dauphine), and Andreas Tsanakas (City, University of London)—the theme of this issue grew out of the rapid and transformative developments in the field, with the increased use of computational statistics, machine learning and artificial intelligence models in insurance applications. While the special issue has been associated with the Second Insurance Data Science Conference, held in June 2019 at ETH Zurich, the published papers come from a wider and very distinguished pool of authors.

Description: InsurTech has been expanding rapidly in the life space over the past few years. However, far from being just a recent buzzword, it has a long history rooted in FinTech.