Visualizing Machine Learning Uncertainty

From qualitative research I conducted, we concluded that our use case called for an ML-driven visualization, as this could show stakeholders potential thematic overlaps between research projects and knowledge transfer activities. At the same time as we concluded that an ML-driven visualization was needed, we predicted that it would be challenging for the non-technical stakeholders to make sense of it. In this regard, I collaborated closely with my team colleague, Dr.-Ing. Christoph Kinkeldey, to conceptualize and design an ML-driven visualization and associated explanation techniques; and in particular, the visualization of uncertainty.