RESEARCH TOPIC: Crime Victimisation Patterns in Taiwan
Abstract: I am looking into the victimisation patterns of traditional crime and cybercrime, using victimisation data from both CSEW and Taiwan Area Victimisation Survey (TAVS). The current analytical techniques involve Multilevel Logistic Regressions, (Bayesian) Profile Regressions, and Near Repeat analyses using the Knox-test, etc. The statistical software of use includes Stata, R, Python and ArcGIS, etc.
Graduate teaching assistant in: Probability, statistics and modelling, Understanding the crime event, Situational Crime Prevention
Tien-Li is a PhD researcher at the UCL Jill Dando Institute of Security and Crime Science.