Risk Models in Innovation Research methods

As research methods some generally accepted state-of-the-art methods are being used such as LCA and quantitative modelling techniques that can be found in literature.

In more specific cases some techniques are imported from the field of physics, used as stand-alone technique or often combined with others, where whether the technique might be somewhat exceptional and unique on itself for the given field of research; or the combination of techniques is.

Bayesian inference and statistics are applied using Monte Carlo techniques and Markov Chains with the aim of building PRA models using the Value of Information concept for optimization. Recently the domain of causality has been introduced to the research team with a promising future to even better modelling and understanding risks of all kind.