What we’re about
ASTIN is planning a new initiative which will provide regular opportunities for members interested in research to interact. This will take form of an international
“reading club” that will aim to bring together practitioners and junior academics/PhD students to present classical research papers / book chapters in an informal tutorial format and have an open discussion on methodology / limitations etc. This will allow participants to get up to speed on specific research areas in a structured manner.
Given the widespread interest in the actuarial community on applications of machine learning, we will initiate the reading club by going through the new work by Mario Wuthrich and Micahel Merz, Statistical Foundations of
Actuarial Learning and its Applications. Sessions will be held on a fortnightly basis, hosted by the organising committee (initial members R. Richman and D. Semenovich), who will nominate presenters for each session and
communicate times and technical details of the event. For the sessions of the reading club, presenters will prepare a 30-45 minute informal walk through for the selected material. A member of the organising committee will facilitate
subsequent discussion.
