Description: This article summarizes the second Simon Conference for young researchers in Actuarial Science, Risk Management, and Insurance, which took place at Michigan State University last November. The intent is to publicize the event and promote future participation in similar conferences of young researchers. The article will contribute to expanding the horizons of actuarial research performed by the academic community. Participation in the conference also gives professional development opportunity for practicing actuaries.

Description: The Drake Risk and Insurance Workshop on Catastrophe Risk took place virtually on February 19, 2021, hosted by the School of Actuarial Science & Risk Management in the College of Business and Public Administration at Drake University. The purpose of this article is to share with the actuarial science community some experience in organizing this event amidst the COVID-19 pandemic.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: An overview of the 14th annual International Congress on Insurance: Mathematics and Economics, held at the University of Toronto.

Description: Learning excellence is of value to both candidates and credentialed actuaries learning new areas. Learning mastery and excellence requires 1) use of executive function (EF), multiple brain areas, for example, verbal, formal (algebraic), computational, and geometric (rule of four), and 2) goal-setting, skillful breaking down of complex tasks into subtasks each of which are simultaneously 2a) clear and specific, 2b) achievable in a short time and 2c) challenging. 10 examples are presented illustrating use of the "rule of four" to achieve elegant solutions to otherwise complex problems as well as goal setting using fellowship-exam approaches, approaches to multi-component problems, and skillful use of databases as visual organizers. The material reflects a new approach to learning complexity that is easier to use than the pedagogic hierarchies and unifies them.

Description: The article traces a broad history of the types of models used for loss reserving, with comment on where this may lead in future.