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Supreme Court Ideal Point Miner (SCIPM)

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Researchers at the Discovery Analytics Center at Virginia Tech have developed a model that learns Supreme Court justices’ judicial preferences and voting behavior. Using the model, they report that they have been successful in assessing justices’ views on issues, anticipating their alignments in different cases, and predicting which justice may become a swing vote on an issue that divides the court.

Read more at The Conversation.com

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