Description: It highlights key initiatives and leadership changes within the SOA Education and Research (E&R) Section in year 2025.

Description: The incoming E&R chair for the coming year reflects on past accomplishments of the E&R council, acknowledges with thanks contributors, and looks forward to continuation in the coming year.

Description: The author shares their experiences and timeline in building an actuarial science program from scratch and reaching the Advanced Curriculum level

Description: We discuss a teaching program for new actuarial science and risk management & insurance educators at Georgia State University that includes the following topics: - Introducing insurance - Syllabus construction - Creating content and actively engaging students - Student motivation and career paths - Assessment and grading rubrics - Professional ethics and other

Description: We discuss an event that was hosted on the Georgia State University campus with the support of the Society of Actuaries. The purpose of the event was to introduce nearly 300 high school students, teachers and career counselors to the actuarial profession through presentations, an industry panel, and fun activities.

Description: The article outlines the editorial vision of Risk Management and Insurance Review (RMIR), emphasizing the need for research that bridges theoretical innovation and real-world application in the evolving landscape of risk management and insurance. RMIR prioritizes methodologically sound work that contributes to conceptual development and offers actionable insights. The journal encourages interdisciplinary, globally diverse, and practically relevant submissions, including those addressing emerging themes like systemic catastrophe risk, behavioral interventions, algorithmic ethics, and the use of AI in insurance.

Description: In this article, I give a few notes as the outgoing chair of the Education and Research Section Council.

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.