I also don’t want to trivialize the difficulty in the data analysis for the very low cost co2 sensors. The accuracy and precision of non-calibrated cheap ( <$100 ) is very poor. It’s still a bit of an unsolved problem to figure out how to best use this data. The theory is that a dense network of low cost and a few high grade sensors can be used to produce meaningful datasets. However it’s still risky and lots of research and testing is needed to validate this. The amount of money required is a bit outside the scope of what most academic labs can support on their own. And it’s way too risky to raise investments as a for-profit.
However I do think it’s worth doing, hence why the org. is a non-profit.