Data Dialogue: Analyzing Racial Equity and Bias of Federal Judges through Inferred Sentencing Records

The US public has a constitutional right to access criminal
trial proceedings. In practice, it is difficult to exercise this right
as well as to quantitatively study federal sentencing disparities. We
have assembled a public database of criminal sentence decisions made in
federal district courts called JUSTFAIR: Judicial System Transparency
through Federal Archive Inferred Records. This large-scale database
links information about defendants with information about their federal
crimes and sentences, and, crucially, with the identity of the
sentencing judge. I will discuss challenges associated with assembling
this database as well as work and observations from studying sentencing
equity and patterns of federal judges.

Short bio: Dr. Veronica Ciocanel received her B.S. in Mathematics from
Duke University and her M.S. and PhD in Applied Mathematics from Brown
University. She has completed her postdoctoral training at the
Mathematical Biosciences Institute at The Ohio State University, where
she was awarded a President's Postdoctoral Scholar fellowship. She is
currently an Assistant Professor of Mathematics, with a joint
appointment in Biology, at Duke University. Her current research
interests involve understanding intracellular transport and organization
mechanisms using dynamical systems, stochastic processes, and data
analysis. She also works with collaborators from QSIDE
( on questions related to criminal justice,
in particular federal sentence disparities and transparency.

Event Speaker: 
Dr. Veronica Ciocanel
Event Date: 
Friday, September 10, 2021 - 12:00 to 13:00
Event Recurring: 
Event Sponsor: 
Event Co-Sponsors: 
+DataScience (+DS),Computer Science,Electrical and Computer Engineering (ECE),Information Science + Studies (ISS),Mathematics,Political Science,Pratt School of Engineering,Statistical Science
Event Status: 
Event Location: 
Event Contact ID: 
Event Contact: 
Dawn, Ariel
Event Contact Email: 
Event Contact Phone: 
Event Sequence: 
Event GUID: