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The Willis Research Network (WRN) is an award winning collaboration between academia, finance and insurance industries. Created by Willis Re, the WRN integrates public science with re/insurance communities and capabilities to enhance our collective ability to understand, evaluate and manage extreme natural catastrophes and to provide credible scientific expertise to improve risk decision making across the industry.


The WRN began with fellowships at seven UK universities and has since grown to programmes and projects across more than fifty science institutions worldwide, working with our re/insurance clients and partners to confront the full spectrum of modelling challenges of this domain. The challenge was to combine high end research with practical application and impact for our clients and the wider industry to support secure, resilient and efficient insurance markets.


Our industry continues to evolve and the pace of improvement in understanding is astounding. However, key risk management issues are still not fully known and no single institution has the resources or breadth of knowledge to answer these matters. The challenges of understanding risk and resilience are still best met working in partnerships and embracing the skills of people across the globe. The WRN continues to build on the strength of its partnerships, delivering and incorporating solutions into insurance sector models, methodologies and transactions to improve the market’s understanding, resilience and coverage of risk.


The WRN Research Hubs drive a number of Research Programs which in turn manage several WRN Research Projects, producing academic and industrial research outputs. Outputs include data, models, applications, peer-reviewed journal articles, financial instruments and conferences. Alongside the longer term research programs, we continue to identify projects with tangible outputs for our clients within shorter frame deliverables, allowing us to deliver solutions when they are needed.




Willis Research Network Research Pillars





History



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