Contributions are invited for a special edition of the Annals of Actuarial Science to be published in 2021. Featured research will be in the area of Insurance Data Science, including but not restricted to insurance applications of pricing methods, customer analytics, computational statistics, machine learning, and risk modelling. Submissions are welcome from researchers across the actuarial and data science communities and contributions can be in the areas of (a) methodology; (b) software; (c) industry case studies. Participants in the 2019 Insurance Data Science conference are especially invited to submit a paper.
Researchers are invited to submit an article by 31 December 2019. The special issue will edited by Katrien Antonio (K.U. Leuven), Christophe Dutang (Univ. Paris Dauphine), and Andreas Tsanakas (City, University of London). All submissions will be peer-reviewed. We encourage contributions that are succinct and well-focused; in particular for areas (a) and (c), contributions should not be longer than 30 pages long, using standard formatting (font size 11, line spacing 1.4). For more details see how to submit below
Guidelines for stream (a) methodology
This stream will accommodate methodological contributions, in the area of data science as applied in insurance. Besides this sharper scope of articles, the editorial guidelines of the Annals of Actuarial Science apply https://www.cambridge.org/core/journals/annals-of-actuarial-science/information/instructions-contributors
Guidelines for stream (b) software
This stream is dedicated to contributions to actuarial/insurance software. The submitted papers should not present new methodologies but be focused on software implementation. There should be substantial actuarial contributions to open-source software, explained in a dedicated paper. The targeted software platforms are the R statistical software , the Python programming language, and the Octave programming language .
All submissions must provide the following materials:
- Manuscript in pdf. The manuscript should contain detailed illustrations of the software and be preferably prepared in LaTeX. The style of the article should be that of a vignette, see this article for an example. For contributions using the R statistical software we recommend producing an R/LaTeX document (.Rnw) using the Sweave or knitr packages.
- A package easily and freely downloadable (e.g. from CRAN, R-forge, GitHub, Python Package Index or Octave sourceforge).
- Documentation/manual file in pdf for the main functionalities.
- Replication materials for all results via a standalone replication script. The replication materials must enable reproducibility of all results from the manuscript.
If the paper is accepted, authors consent to making the software freely available for the actuarial and data science communities.
Guidelines for stream (c) industry case studies
Contributions under this stream should feature real-world applications in insurance data science, which highlight how methods are implemented, used and adapted in insurance practice. Each paper should preferably be prepared in LaTeX and should have the following structure:
- Introduction to real-world problem studied.
- Review of related literature with emphasis on the methodology employed in the paper.
- The way that existing methods have been applied, adapted and extended in the particular case study, with detailed numerical illustrations.
- Conclusions, discussion of limitations, and open research questions.
In addition, contributors should include replication materials for their numerical illustrations. Where confidential data are used in the paper, we encourage the production of partial replication materials, e.g. using a synthetic dataset.
How to submit
You can submit an article to the special edition by clicking the button below or by visiting: https://mc.manuscriptcentral.com/aoas
First time users will need to register for an account. When submitting your manuscript you will need to complete the Special Issue section as part of step 1 to indicate whether you consider your submission to be in the area of (a) methodology; (b) software; (c) industry case studies.
The journal style guide and instructions for contributors can be found at: https://www.cambridge.org/core/journals/annals-of-actuarial-science/information/instructions-contributors
We encourage submissions prepared in LaTeX. A variety of LaTeX templates can be found at https://www.overleaf.com/gallery/tagged/academic-journal
For further information contact email@example.com