Real-Life Decision Making Systems

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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
  • Evaluating wildland fire liability standards – does regulation incentivise good management?
• Estimating pandemic spread and intervention impact
  • Report 13 - Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries
• Chip Placement on a canvas - optimizing power, performance and area under constraints like placement density and routing congestions
  • Chip Placement with Deep Reinforcement Learning