If no such thing exists, I might take a stab at creating one—so I’d even love to hear if you know of some causal-graph-inference-toolkit-thing that isn’t specifically for COVID but seems like a promising foundation to build atop!
But, if no such thing exists, that also seems like evidence that it… wouldn’t be useful? Maybe because very few social graphs have the communication and methodicalness to compose a detailed list of all the interactions they take part in? Conceivably because it’s a computationally intractable problem? (I dunno, I hear that large Bayes nets are extremely hard to compute with.)
I would probably copy the MicroCOVID spreadsheet, and then write some custom logic into the cells that track people’s microcovid levels. Seems like it wouldn’t be too hard, and at the level of customization you want, I expect you would have to do something equally complicated with almost any other tool.
If no such thing exists, I might take a stab at creating one—so I’d even love to hear if you know of some causal-graph-inference-toolkit-thing that isn’t specifically for COVID but seems like a promising foundation to build atop!
But, if no such thing exists, that also seems like evidence that it… wouldn’t be useful? Maybe because very few social graphs have the communication and methodicalness to compose a detailed list of all the interactions they take part in? Conceivably because it’s a computationally intractable problem? (I dunno, I hear that large Bayes nets are extremely hard to compute with.)
I would probably copy the MicroCOVID spreadsheet, and then write some custom logic into the cells that track people’s microcovid levels. Seems like it wouldn’t be too hard, and at the level of customization you want, I expect you would have to do something equally complicated with almost any other tool.
Maybe BayesDB can help?