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Ruxandra's avatar

I really enjoyed reading this article, even though the technical details were far from my field. As I mentioned before, I am curious about the "what if's" in history and what kind of methods can be applied to test different scenarios. It seems to be a great approach when it comes to technical, measurable quantitative data, which can be used as a proxy for human decision making (very difficult to work with). It would be interesting if you can use AI to generate a code in Python for example, that can work with the data step by step and where you can yourself add or substrack data. I am curious because I study various methods for forcasting and even backcasting in geoscience

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