Understanding cat risk: every little helps

For the more "mature" perils where models are 15,20,25 years old there is plenty that we have learnt from academia that, iteratively, has fed into the models and improved them. Add to this the growth of better reporting and recording of loss data to help improve these models and more and more academics moving into the growing world of catastrophe modelling, our models are better than ever: but what can we do to increase further their robustness? The answer doesn't necessary lie within the modelling firms themselves: the onus I believe is on us, as end-users. The typical trend within catastrophe modelling is for new scientific developments, worthy of inclusion into cat models, are typically d