UPMC and AXA organized a workshop on floods
The Université Pierre et Marie Curie (UPMC) team that is undergoing a Joint Research Initiative on floods with AXA Group Risk Management and AXA UK organized a workshop on May 30th-31st2016 with a thematic of increasing concern for society and insurers: Modelling the flood peril
The goal of this unique workshop was to gather 60 scientists from different disciplines working on one related topic, floods, but who do not usually interact together : physicists, mathematicians, hydrologists…and members of the industry as well : AXA, EDF, hydropower specialists, nuclear safety agents, and others in similar roles with a clear societal impact.
All these experts presented their recent research work that led to many fruitful exchanges between researchers and business experts from different origins.
Doctor Josserand, leading the JRI research team and organizer of the event, said: « This event gathering a wealth of speakers and participants offers great perspective of improvement for flood predictions, notably by coupling different models».
And Madeleine-Sophie Deroche, in charge of R&D in natural catastrophes modelling at AXA Group Risk Management, to add: “It has been very useful to have an update of current work carried out by researchers and a good opportunity to make relevant contacts with persons from other companies working on the same issue.”
About the Joint Research Initiative AXA-UPMC
AXA Joint Research Initiatives aim at fostering collaboration between a team of academic researchers and a team of AXA experts to jointly address research questions , increase knowledge and enlighten policy and decision-making on major risks.
The AXA-UPMC JRI aim to develop new flood predictive models by bridging two disciplines: fluid mechanics and statistics. The flood modelling approach adopted within this JRI project is complementary to the current CAT models present on the insurance market. As a leading insurance company, AXA identifies in this project an opportunity to foster interactions with academia as well as its promising use as an early warning system with added values for both risk assessment and operational purposes.