In order to effectively support crisis management via AI, it is important that the applications to be developed are able to predict the evolution of crisis situations and also anticipate the simultaneous reactions of the various actors (government, companies, etc.). Only the consideration of the reactions to an initial crisis event in specific scenarios enables dynamic crisis management. The amount of data required by the AI application to forecast such highly complex scenarios is correspondingly high.
The lack of data that often occurs in a Big Data scenario must be overcome and the existing data must be continuously kept up to date, while at the same time ensuring data protection and -sovereignty at all times.
PAIRS solves these challenges through a platform architecture with federated services that can access a wealth of relevant data and enable economic and political actors to collaboratively anticipate the mutual influences of individual measures and incorporate them into their own decisions. The ability to share data in a trusting manner, if necessary even preserving data privacy, plays an important role in this.
If you are interested in more details about this approach, the different use cases or a way to participate in this project yourself, you can find more detailed information on the project website. Or simply use our contact form.