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The research area is part of the safety sciences, specifically where it overlaps with scientific- and commercial software development. It is recognizable in the rapid development of safety-software offerings and the ecosystems of multi-user software stacks (traditional software development such as Storybuilder) and cloud-based stacks (Such as Amazon Web Services or Cloudera).
The introduction of AI functionality in safety management software is of special interest. In principle, single-purpose mathematical risk analysis software is excluded (such as dedicated software for fault-tree calculations, markov-models, Petri-nets and Bayesian Belief Nets) unless they become part of an integrated safety software ecosystem for multiple users and viewpoints.
Decision making systems and techniques are of special interest where the focus is on engagement and management. That makes subjects like conversational software, (safety)-meta modeling and process modeling and Enterprise architecture within the scope of this work. For specific use cases drilling into more mathematical modelling (and programming) are a must.