Advanced analytics in criminology

Coordinated by Dr Thiago Oliveira and Dr Niels Blom; organises the Reading Sessions in Quantitative Criminology (RESQUANT).

This group promotes methodological innovation in criminology through advanced quantitative and computational techniques. It delivers cross-disciplinary collaborations that apply cutting-edge advanced analytics to better understand crime and justice. While centred in the Department of Criminology, the group also engages researchers based in Social Statistics and Mathematics.

Areas covered

  • Causal inference and quasi-experimental methods;
  • Spatial and temporal analysis;
  • Machine learning and computational criminology;
  • Network analysis and agent-based modelling;
  • Open and reproducible research practices.

Research-driven teaching

  • CRIM14442 Making Sense of Criminological Data (BA Criminology)
  • CRIM20441 Modelling Criminological Data (BA Criminology);
  • CRIM31152 Crime Mapping (BA Criminology);
  • CRIM30642 Comparative Criminology (BA Criminology);
  • CRIM72221 Criminological Research Methods (MA/MRes Criminology);
  • CRIM70821 Data Analysis in R & RStudio (MA/MRes Criminology);
  • CRIM60142 PG Crime Mapping (MA/MRes Criminology);
  • CRIM60642 Comparative Criminology (MA/MRes Criminology);
  • CRIM71502 Crime and Networks (MA/MRes Criminology).

Societal and community impact

Members

PGR students