Knowledge-uncertainty is typically not characterized by the fact that it can be easily disposed of once and for all by using a quantitative model or an analyst’s qualitative thinking process. However, a thorough analysis can possibly quantify or reduce such uncertainty. Possible ways to perform such an analysis are performing a thorough evaluation and collecting and processing data, as well as developing and implementing scenario-based model calculations that consider a large diversity spectrum in the model structure as well as gaps and uncertainties in fundamental model (and of course also real) cause-effect causalities.

We deal with a variety of issues and want (cooperating with partners) to overcome dividing lines of scientific disciplines. Our priority areas are determined by all our services, especially those for risk analysis, health and environmental impact.

Please contact us if you have any further questions and to receive a first offer!