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).
Members
- Dr Niels Blom
- Dr Thiago Oliveira
- Prof Ken Pease (Honorary Professor)
- Dr Laura Bui
- Dr David Buil-Gil
- Dr Tomas Diviak
- Dr Sam Langton
- Dr Ana Nicoriciu
- Dr Reka Solymosi
- Dr Nico Trajtenberg
PGR students
- Megan Davidson
- Nic Fox
- Selahattin Gunay
- Yijie He
- Benjamin Palfreeman-Watt (Data Analytics and Society)
- Luis Sotomayor (Mathematics)