Description: Article describes best practices for teaching a course module that involves multiple parameters. A good example is hypothesis testing which requires consideration of the parameters, sample-size, population distribution, known variance and has as consequences whether a normal or t distribution should be used or whether non parametric methods are used. The articles recommends use of the Prime Implicant Normal Form as a means of teaching. It shows the superiority of this method over other forms such as heuristics, complete rules, or graduated approaches.

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: Article describes accomplishments as Chair during the year. Four accomplishments are mentioned: i) Actuarial Research Conference ii) Early Career Award, iii) Establishment of Outstanding Educator Award, iv) Push to create surveys from the section containing a reservoir of ideas that can be used for webinars, podcasts, etc.

Description: This interview with Andrés Villegas, an Associate Professor at UNSW Sydney, explores his journey from Colombia to Australia, his research on mortality modeling, and his contributions like the R package StMoMo. He discusses the importance of mentorship, industry-academia collaboration, and the role of actuaries in addressing global issues such as population aging and climate risk.

Description: A description of a new award for outstanding educators in actuarial science.

Description: Expanding Horizons recently had the opportunity to interview Wenjun Zhu, the winner of the Society of Actuaries’ (SOA’s) third Actuarial Science Early Career Award.