RT @j6m8: POLITICS CAN BE BETTER "Gerrymandering and Computational Redistricting" is today's #365papers read, courtesy of @o_guest et al! h…
POLITICS CAN BE BETTER "Gerrymandering and Computational Redistricting" is today's #365papers read, courtesy of @o_guest et al! https://t.co/mPyfVgUN9n https://t.co/Mc3ShZXe09
RT @o_guest: Yesterday was so fun, but hectic! I gave a talk on https://t.co/Mb2kVqpB9Y [preprint: https://t.co/BoaaBV5pxY] and it was also…
RT @DrLoveBC: Voters should choose politicians, not the other way around. And, computers should draw the maps. US Citizens, choose which so…
RT @psforscher: I haven't looked at it in detail, but this looks like an amazingly cool application of data science https://t.co/TqvlZhwW5L
RT @psforscher: I haven't looked at it in detail, but this looks like an amazingly cool application of data science https://t.co/TqvlZhwW5L
I haven't looked at it in detail, but this looks like an amazingly cool application of data science https://t.co/TqvlZhwW5L
Gerrymandering and Computational Redistricting: https://t.co/VBC4OSc9Wa via @o_guest and @DrLoveBC https://t.co/RgNSe8bS95
RT @uclrits: Thanks @o_guest for a really engaging talk at yesterday's tech social: lot's of good advice for developers. https://t.co/mePFj…
RT @uclrits: Thanks @o_guest for a really engaging talk at yesterday's tech social: lot's of good advice for developers. https://t.co/mePFj…
@austin_wadle Thanks for the feedback — much appreciated. Please take a look at the Discussion section here, in our preprint: https://t.co/BoaaBV5pxY
Thanks @o_guest for a really engaging talk at yesterday's tech social: lot's of good advice for developers. https://t.co/mePFjNbQDO
@tedger @sarahdcady @DrLoveBC and address this in the Discussion section of the preprint: https://t.co/BoaaBV5pxY
RT @nothing_counter: Great talk - really interesting topic and intriguing approach https://t.co/eV5ptWrIh3
@cbwilliams_ames Only under the definition of improvement as we use it in the preprint. https://t.co/BoaaBV5pxY
@cbwilliams_ames No, but it can. Check out Discussion in preprint here: https://t.co/BoaaBV5pxY
Great talk - really interesting topic and intriguing approach https://t.co/eV5ptWrIh3
RT @o_guest: Yesterday was so fun, but hectic! I gave a talk on https://t.co/Mb2kVqpB9Y [preprint: https://t.co/BoaaBV5pxY] and it was also…
RT @o_guest: The redder a state is the more our method improvesd it. As you can see from the map (and based on analyses we did), bigger/mor…
RT @o_guest: What we found is that not all gerrymandering is purposeful. It arises because states are hard to redistrict, especially larger…
@tom_hartley @BCE2018 Ah, a donut! Sorry I lost the context! Not cracked at all! https://t.co/L3wpRYwzOZ
RT @o_guest: What we found is that not all gerrymandering is purposeful. It arises because states are hard to redistrict, especially larger…
RT @Kane_WMC_Lab: Neat thread/work on an important topic: https://t.co/eyzWOYb1hr
Neat thread/work on an important topic: https://t.co/eyzWOYb1hr
@rmflight Corrected thread: https://t.co/UCJi9LSSGa
RT @sarahdcady: Thread on computational redistricting: science+politics! 💻🇺🇲 https://t.co/MFjwM5EbHe
Now I'd like to talk about the algo: I ran our version of k-means on Census data to https://t.co/Mb2kVqpB9Y each state. @DrLoveBC came up with a type of k-means that weights each cluster/district by its population. https://t.co/BoaaBV5pxY #MachineLearning
Thread on computational redistricting: science+politics! 💻🇺🇲 https://t.co/MFjwM5EbHe
RT @o_guest: Take top row [taken from the preprint https://t.co/BoaaBV5pxY], that's Iowa (a), our algorithm (b) improves on it, even tho th…
RT @o_guest: Take top row [taken from the preprint https://t.co/BoaaBV5pxY], that's Iowa (a), our algorithm (b) improves on it, even tho th…
Finally, some states really are good. 😌 Omaha, Nebraska has it's own district (e) and then increasingly suburban areas have theires, and then rural theirs. Which is THE SAME as our algo (f) did just more smoothly. More: https://t.co/Mb2kVqpB9Y https:/
A really fun thing happens in Arizona (d)! it's horrible in (c) but in our solution you get a 🍩 district because our algorithm really wants to give Tuscon its own district! In real world it's cracked 3 ways! Three! 😢 More: https://t.co/Mb2kVqpB9Y https:
Another 🤬 in Utah. West Valley & Salt Lake Cities (a) are cracked so hard the district goes all the way to other end of state! Same with Provo! Our solution shows how you can fairly give the cities districts of their own. More: https://t.co/Mb2kVqpB9Y
In bottom row, you see the very sorry state (pun intended 😢) North Carolina is in! Charlotte (c) is cracked so much, reaching so far into the countryside. our solution shows how 2 urban districts for Charlotte make sense. More: https://t.co/Mb2kVqpB9Y ht
Take top row [taken from the preprint https://t.co/BoaaBV5pxY], that's Iowa (a), our algorithm (b) improves on it, even tho they are trying their best. That's the thing! Even when it's done by impartial committees, computers still district better! More: h
@o_guest ummm, I think you've linked to the wrong Arxiv abstract. Think it should be: https://t.co/nw8UYaTbFj Looks like missed a "0" in your link
RT @o_guest: Yesterday was so fun, but hectic! I gave a talk on https://t.co/Mb2kVqpB9Y [preprint: https://t.co/BoaaBV5pxY] and it was also…
The redder a state is the more our method improvesd it. As you can see from the map (and based on analyses we did), bigger/more populous states are redder. Interactive maps can be found at: https://t.co/Mb2kVqpB9Y and the preprint: https://t.co/BoaaBV5pxY
RT @o_guest: What we found is that not all gerrymandering is purposeful. It arises because states are hard to redistrict, especially larger…
What we found is that not all gerrymandering is purposeful. It arises because states are hard to redistrict, especially larger states. The more districts a state has the more it is likely to be gerrymandered. [maps: https://t.co/Mb2kVqpB9Y — preprint: htt
Yesterday was so fun, but hectic! I gave a talk on https://t.co/Mb2kVqpB9Y [preprint: https://t.co/BoaaBV5pxY] and it was also coincidentally #GISday. I was focussing on how I did what I did using Javascript, Cython, C, Python, GIS, etc. Today I'd like to
@jackie_cs_ Some states have OK and even sensible maps already! Check out figures 2 and 3 especially: https://t.co/BoaaBV5pxY
RT @DrLoveBC: Voters should choose politicians, not the other way around. And, computers should draw the maps. US Citizens, choose which so…
@TheChrisSuprun new research might help! https://t.co/XxBFHQgeIV
RT @DrLoveBC: How much of gerrymandering is because people are not good at drawing maps? A lot. Website: https://t.co/F64YQBqItI Preprint:…
RT @DrLoveBC: How much of gerrymandering is because people are not good at drawing maps? A lot. Website: https://t.co/F64YQBqItI Preprint:…
RT @jackie_cs_: I'm kinda amazed by how similar MA's current and proposed district maps are (except around Boston) https://t.co/NbAdCA8Llt
I'm kinda amazed by how similar MA's current and proposed district maps are (except around Boston) https://t.co/NbAdCA8Llt
RT @DrLoveBC: How much of gerrymandering is because people are not good at drawing maps? A lot. Website: https://t.co/F64YQBqItI Preprint:…
RT @DrLoveBC: Voters should choose politicians, not the other way around. And, computers should draw the maps. US Citizens, choose which so…
RT @DrLoveBC: Voters should choose politicians, not the other way around. And, computers should draw the maps. US Citizens, choose which so…
RT @DrLoveBC: Voters should choose politicians, not the other way around. And, computers should draw the maps. US Citizens, choose which so…
RT @o_guest: ICYMI in case you've been asleep/in the USA: Gerrymandering and Computational Redistricting: https://t.co/5oWgLgHIq6 via @o_gu…
RT @o_guest: ICYMI in case you've been asleep/in the USA: Gerrymandering and Computational Redistricting: https://t.co/5oWgLgHIq6 via @o_gu…
@christopherburd @Abebab @DrLoveBC I haven't merged voting data with the districts but yes, we discuss this "self gerrymandering" in the preprint: https://t.co/8bOubfqgGO
RT @philosopher70: Very cool. Gotta say, as an aside, I'd love to see gerrymandering politicians get some sort of penalty. Right now, I thi…
Very cool. Gotta say, as an aside, I'd love to see gerrymandering politicians get some sort of penalty. Right now, I think that's more Republicans than Democrats. But either way, they deserve some sanction for how they screw the body politic over https://t
RT @fepegar_: Awesome talk today at @uclrcsoftdev! It's nice to see people doing open source for the greater good. @o_guest, how can I know…
Awesome talk today at @uclrcsoftdev! It's nice to see people doing open source for the greater good. @o_guest, how can I know whether there is gerrymandering in my country (Spain)? https://t.co/zdDdm6SJXC
RT @o_guest: ICYMI in case you've been asleep/in the USA: Gerrymandering and Computational Redistricting: https://t.co/5oWgLgHIq6 via @o_gu…
RT @Vilma_Agalioti: Very interesting project on #gerrymandering #maps #geodata Try your area! https://t.co/uA5MwHpfNW
RT @JhendersonIMB: Using computational models for the public good. https://t.co/DEBa1MhTIK
RT @o_guest: @GIStuart @uclrcsoftdev Thank you so much! I put the slides up if needed! https://t.co/0SPTnuT68v https://t.co/Mb2kVqpB9Y http…
@GIStuart @uclrcsoftdev Thank you so much! I put the slides up if needed! https://t.co/0SPTnuT68v https://t.co/Mb2kVqpB9Y https://t.co/BoaaBV5pxY
Using computational models for the public good. https://t.co/DEBa1MhTIK
RT @o_guest: ICYMI in case you've been asleep/in the USA: Gerrymandering and Computational Redistricting: https://t.co/5oWgLgHIq6 via @o_gu…