Announcement

Insurance Data Science 2020: Call for abstracts open

The call for abstracts is open for the third Insurance Data Science Conference at Cass Business School, City, University of London, 22 June 2020. Our invited key note speakers are Bettina Grün (University of Linz, Austria) and Thomas Wiecki (Quantopian, PyMC). We are looking for abstracts in the areas of insurance analytics, machine learning, artificial intelligence, and actuarial science. Please send your abstract by 9 March 2019 to: [email protected] Your submission should include:

Insurance Data Science: Call for abstracts open

The 2nd Insurance Data Science conference will take place at ETH Zurich, 14 June 2019. Following the launch in London at Cass Business School in 2018, we are inviting you to submit proposals for talks by 15 February 2019 to: [email protected] We are looking for abstracts in the fields of insurance data science, statistical learning and machine learning. This includes technological developments, and mainly focuses on applications in insurance pricing, reserving, risk assessment and modelling, customer analytics, capital management, catastrophe and econometric modelling.

Welcome to Insurance Data Science

When we started the R in Insurance conference in 2013, we had the aim of bringing practitioners of industry and academia together to discuss, exchange ideas and needs from both sides. R was and is a perfect glue between the two groups, a tool which both side embrace and which has fostered the knowledge transfer between the two. However, R is just one example and other languages serve this purpose equally well.