From 2021, Annals of Actuarial Science (AAS), the research journal owned by the IFoA and published by Cambridge University Press, has expanded to three issues per year. This increase aims to facilitate the publication of annual special issues that will focus on a key theme.
The July 2021 special issue of AAS (bit.ly/3r3LeKQ) looks at insurance data science. This theme grew out of the rapid and transformative developments we are seeing in actuarial and related fields, with increased use of computational statistics, machine learning and artificial intelligence (AI) models in insurance applications. The special issue draws partly from material discussed at the second Insurance Data Science Conference (bit.ly/3kepnis), held in Zurich in 2019, as well as including further papers from authors worldwide.
The issue includes a wide-ranging review of AI in actuarial science, as well as papers exploring different facets of neural networks, the modelling of mortality, and computational statistics and machine learning in insurance operations. It also introduces an expansion of scope in AAS coverage by including three contributions to actuarial and statistical open-source software, recognising the crucial role such software plays in research and applying statistical models in practice.
AAS is an online-only journal, with full access provided as an IFoA membership benefit via the Actuarial Knowledge Hub (bit.ly/3yRSXhB); please contact [email protected] if you would like help or information.