Examining judicial sentencing using court transcripts and natural language processing techniques
DEADLINE for applications: 6 June 2017 (to start PhD Oct 2017)
We will study sentence records from Her Majesty Courts and Tribunals Service, made available online at www.thelawpages.com The website captures a sample of 14,736 sentences passed by the Crown Court from 2000 to the present date. Focusing on offences of homicide within the 2009-2018 period we will seek to answer the following research questions:
RQ1. What are the aggravating and mitigating factors that judges take into account when sentencing cases of homicide?
RQ2: What is the effect that they have on the sentence outcome?
RQ3: What will be the impact of the new homicides guideline?
RQ4: How reliably can aggravating and mitigating factors in sentence transcripts be recorded using natural language processing compared to a supervised process of content analysis?
APPLY ONLINE NOW: https://datacdt.org/projects/sentencing_council/
Jose Pina-Sánchez - Lecturer in Quantitative Criminology
Centre for Criminal Justice Studies
School of Law, University of Leeds, Times University of the Year 2017
Eric Atwell, Associate Prof, Artificial Intelligence and Language at Leeds,
Best Lecturer 2017 award from COMPSOC Computing Student Society,
School of Computing, Univ of Leeds, Times University of the Year 2017