LnRiLWZpZWxke21hcmdpbi1ib3R0b206MC43NmVtfS50Yi1maWVsZC0tbGVmdHt0ZXh0LWFsaWduOmxlZnR9LnRiLWZpZWxkLS1jZW50ZXJ7dGV4dC1hbGlnbjpjZW50ZXJ9LnRiLWZpZWxkLS1yaWdodHt0ZXh0LWFsaWduOnJpZ2h0fS50Yi1maWVsZF9fc2t5cGVfcHJldmlld3twYWRkaW5nOjEwcHggMjBweDtib3JkZXItcmFkaXVzOjNweDtjb2xvcjojZmZmO2JhY2tncm91bmQ6IzAwYWZlZTtkaXNwbGF5OmlubGluZS1ibG9ja311bC5nbGlkZV9fc2xpZGVze21hcmdpbjowfQ==
LnRiLWhlYWRpbmcuaGFzLWJhY2tncm91bmR7cGFkZGluZzowfQ==
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
As Senior Research Associate, Jamie Vaske analyzes criminal justice data sets, evaluates policy solutions, and works with the Lab team to develop new metrics for the Measuring Justice Dashboard. Vaske began working with the Lab as an affiliated researcher in 2019, collaborating on empirical evaluations of several pretrial projects across multiple North Carolina jurisdictions. Vaske is a Research Assistant Professor of Justice, Law, and Criminology at American University. Her work includes conducting process and outcome evaluations of treatment courts. Vaske earned her PhD in criminal justice from the University of Cincinnati.