Prof. Mohammad Reza Rahimi Tabar 

The design, pricing, and management of insurance products, including pensions, is based on actuarial calculations. Historically, actuaries have used all data on offer when performing these kinds of calculations. In the current information era, data availability is growing at a remarkable rate – but at the expense of data privacy and security. This encourages an active information control in accordance with for instance the infamous ‘right to be forgotten’ stipulated in Article 17 of the General Data Protection Regulation of the European Union. Furthermore, in recent years we also observe that some tech companies have implemented data control features, such as auto-deletion, to distinguish themselves from competitors. However, active information control leads to systematic changes in information that may bias classic actuarial calculations. This research project seeks to address that issue by exploring how we may model and learn insurance risks subject to systematic changes in information as well as how we may design and manage insurance products based on systematic changes in information. The main goal is to develop new, universal mathematical concepts and methods tailored to the currently developing information era