Expertise

Research Areas

  • Pretrial Release
  • Prediction and Risk Assessment
  • Machine Learning
  • Quantitative Methods

His research interests include pretrial release, quantitative methods, machine learning and prediction in criminal justice applications.


Subject Area:

  • Courts and Corrections

Dr. Stephen Clipper’s research interests focus on the pretrial stage of the criminal justice system specifically focusing on risk of failure to appear, the efficacy of release programs, and understanding the effects of policy changes. His other research interests include applications of forecasting and risk assessment in criminal justice decision-making, machine learning, and quantitative analysis.

Past Affiliations

Assistant Professor, Department of Criminology and Criminal Justice, College of Arts and Sciences, University of Alabama

Graduate Student, Criminology, School of Economic, Political and Policy Sciences, University of Texas at Dallas (past)

Communities
Criminology
Degrees
PhD, University of Texas at Dallas, Criminology, 2016
MA, Rowan University, Criminal Justice, 2011
BA, Rowan University, Law and Justice Studies, 2008
Keywords
quantitative methods pretrial release atod use
Languages
English
Associations
Alpha Phi Sigma
Phi Kappa Phi
The American Society of Criminology