Project

Environmental criminology in the big data era: Exploring the empirical opportunities and prospects

Code
DOCT/002229
Duration
04 June 2018 → 08 November 2023 (Defended)
Doctoral researcher
Research disciplines
  • Natural sciences
    • Statistics not elsewhere classified
    • Data mining
    • Machine learning and decision making
    • Mobile technologies
  • Social sciences
    • Data collection and data estimation methodology, computer programs
    • Causes and prevention of crime
    • Criminological theories
Keywords
Big data Environmental criminology Mobile phone data Google Places data Google Street View
 
Project description

The digital revolution and the resulting datafication of society provide large opportunities for empirical research, also in criminology and crime research. This doctoral research explores the empirical opportunities and prospects of new and emerging data sources for environmental criminology. First, this research summarizes prior empirical work with new and emerging data sources in environmental criminology. Second, the empirical studies in this research involve using virtual methods such as Google Street View images to measure physical disorder and crime prevention, mobile phone data for calculating crime rates and to improve predictive models, and user-generated ratings to understand the quality of place management and its effects on crime at micro places. Third, building on this empirical work, two frameworks are presented that set the stage for an epistemologically and methodologically responsible use of new and emerging data sources in environmental criminology.