ZVO working group on the topic of complexity

The participants from Zeschky, TU Ilmenau, TU Aalen and Mittweida University devoted two half days to the question of what complexity actually means beyond the usual buzzwords, where it occurs in practice and why conventional scientific approaches are often not sufficient. During the discussion, it quickly became clear that there is a fundamental difference between complicated and complex challenges. While complicated tasks can usually be solved with sufficient knowledge, data and suitable methods, complex situations require decisions under uncertainty, where not all parameters are known or controllable. This insight was met with great interest, but also caused irritation, as many participants are used to searching for the one right solution from their studies and technical training. However, dealing with complexity requires a different mindset that relies on pattern recognition, analogical thinking, iterative decisions, openness to corrections and a willingness to abandon established ways of thinking.

Group work on complexity

In the group work, the participants were able to try out these ways of thinking in practice. Smaller case studies were used to analyze actors and framework conditions and develop initial approaches for appropriate action in complex environments. Particular attention was paid to the possibilities of modern AI, for example for simulation and decision support. However, the time available was not sufficient for a more extensive simulation game, although this wish was expressed several times. A future format may offer scope for this. The group tackled the challenging topic with noticeable openness and genuine interest. "An enriching experience," summed up Dr. Zimmer, "not just as a moderator, but as an active part of the discussion."