Data Science

Alin Radu, Laurent Sabatié and Davide De Santis discuss insurers’ use of novel data sources and structures to create innovative parametric products

Niall Fennelly sets out key lessons around electronic health records for insurance, and explores what the future could hold

David Lu and Wendy Wang investigate the increasing global incidence of lung cancer among women who have never smoked

Gillian Rutherford-Liske and Samantha Dunn explain the role general insurers can play in tackling extreme weather and ecosystem loss

Jonathan Khanlian outlines how the machine learning technique of reinforcement learning can be viewed from an actuarial perspective

Louise Pryor, Colin Dutkiewicz and Krishna Kumar Shrestha reflect on the ICAT’s recent R number hackathon, and what it means for the profession’s future skillset and role in society.

The proportion of the global population exposed to floods has grown by a quarter since 2000, a 10-fold difference from what scientists previously thought, analysis has uncovered.

Neptune Jin shares the Data Science Research Working Party’s work looking at the merits of different supervised learning techniques for claim frequency modelling

Joel Walmsley writes about the past, present and future of artificial intelligence from a philosophical point of view

Alastair Black looks at how the increasing use of analytics is affecting life insurance pricing