“Our work suggests that a lot of what we view as gerrymandering may instead result from the complexity of the task. It’s beyond human abilities to perfectly group millions of people into fair districts”https://www.seeker.com/tech/an-unbiased-algorithm-could-help-put-an-end-to-partisan-gerrymandering?utm_content=An+Unbiased+Algorithm+Could+Help+Put+an+End+to+Partisan+Gerrymandering&utm_source=twitter&utm_medium=social-media …
I'll try and answer your original question again. I think there are precedents just not ones with open source code that I know of. If you're interested I would direct you to read more on what others have written about Mexico, here: http://openscholar.mit.edu/sites/default/files/dept/files/825-1508-1-pb_en.pdf …
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Also to be clear — for the US, I think "Today it's more like 1) public trusts experts, 2) experts use algorithms/computers." is not true.
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Unless you want to play with the meaning of "trust", of course.
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Thanks, it's on my reading list!
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And probably this chapter, which explains some of the computational redistricting the authorities did in Mexico in 2015: https://books.google.co.uk/books?id=c70tDwAAQBAJ&pg=PA301&lpg=PA301&dq=10.1007/978-3-319-55702-1_40&source=bl&ots=pBPYXghz5N&sig=rVBdfa8bUZlcaiaRtnMqSAntFBs&hl=en&sa=X&ved=0ahUKEwik8aK11-HXAhVIZFAKHRTHAYMQ6AEIKDAA#v=onepage&q=10.1007%2F978-3-319-55702-1_40&f=false …
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Ahhh... the joy of paywalls!

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Yeah, I actually do not have the full PDF of this. But it tells us in the abstract that they use it in Mexico. I would like to dig deeper though.
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