We need your help to make a real algorithm less biased. We’re going to walk through the algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. Play the game—and read the story. https://t.co/ezH4J4Csy1
The last thing I was working on at MIT is finally up, "Applying Concepts of Algorithmic Justice to Reference, Instruction, and Collections Work": https://t.co/L8VbxzUgla
Over the🌙to share @NEHgov awarded our team of legal experts, librarians, & scholars a $165K grant to help humanities researchers & staff navigate law & ethics questions in text data mining research! More tomorrow about our project, Building Legal Literacies for Text Data Mining!
"I have skin in this game. I am a professor of data science at NYU .. We need to question data rather than assuming that just because we’ve assigned a number to something that it’s suddenly the cold, hard Truth."
https://t.co/azEx5al19V via @qz
How did that web page change over time? The new "Changes" feature of the Wayback Machine can show you how, graphically: https://t.co/upyBBGITNm. (Hat tip, @ResearchBuzz)
Today we're excited to share recorded presentations from the Caselaw Access Project Research Summit! 🎥 https://t.co/aqhovRdJP2 @HarvardLIL@Harvard_Law@hlslib
The Cartoonists’ Guide to Law: The @dangelolawlib's New Collection of Illustrated Legal Codes Offers Insight into Statutes and Society https://t.co/Y3IRWio8Gd
The Harvard Data Science Initiative and The MIT Press launch the HARVARD DATA SCIENCE REVIEW to publicly promote the latest research, educational resources, and commentary from the leading minds in data science https://t.co/rsCsTy6Wat