I'm collecting a list of real-life decision making systems that are primarily making data-driven decisions (hopefully with some level of human-in-the-loop) or are ripe to be disrupted by data-driven methods.
Use this list to convince someone about the importance of "uncertainty quantification".
Predicting forest management actions of landowners with interdependent fire risk
Estimating pandemic spread and intervention impact
Chip Placement on a canvas - optimizing power, performance and area under constraints like placement density and routing congestions