Doing ~ data science ~ at the ACLU has been a dream job since I started nearly 2 years ago, but I don’t think I’ve ever been prouder of my team than I have been this week, or more honored to be doing the work we’re doing. To recap:👇
These arrests are arbitrary, excessive, and racially targeted in the best of times. Right *now*, funneling people through the carceral system can be a death sentence. You can’t socially distance in jail. https://twitter.com/ACLU/status/1252995830870446080
. @thaniasanc and @sophiebeiers have been instrumental in making sure this analysis is rigorous and beautifully displayed, and our tech team transformed it into an extremely useful beautiful interactive: https://graphics.aclu.org/marijuana-arrest-report/
. @paigejfernandez can tell you what to do instead of making useless harmful arrests —> https://twitter.com/paigejfernandez/status/1252279281381769219
We ran our model in 1200+ jails across the country to attempt to quantify the lives we could save — in jail AND in their surrounding communities — if we take urgent, dramatic action to reduce jail populations.
We find that *drastic* arrest reductions, coupled with speeding the rate of release, are the best way to save thousands of lives in both jails and their surrounding communities. https://twitter.com/ACLU/status/1253082401359556608
This work is heavy. This time is heavy. But we are not helpless to effect change. And we’re just getting started.
I couldn’t be prouder of the *way* our team has risen to this challenge — everyone has jumped in to help, has had each other’s backs, and has still managed to make space for mental health breaks and daily gratitude and coffee chats that evolve into Mario Kart.
I’m so grateful to the data scientists, analysts, engineers & journalists on the ACLU Analytics team. We're also so lucky to work alongside some of the smartest & most hardworking communicators, lawyers, technologists, researchers & advocates in the game.
You can follow @brookLYNevery1.
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