Short bio
Anneleen Rummens works as a PhD student at the Institute for International Research on Criminal Policy. Her doctoral research investigates the use of predictive policing as a tool for crime prediction and prevention, under supervision of Prof. dr. Wim Hardyns and Prof. dr. Lieven Pauwels. This research project consists of both a methodological and an operational analysis, focusing on both the analytical and practical aspects of predictive policing. Anneleen holds a MSc degree in Statistics from KU Leuven (Belgium). Her main research interests are predictive policing, predictive modelling and the spatio-temporal analysis of crime.
Work details
- EMAIL: anneleen.rummens@ugent.be
- TELEPHONE: +32 9 264 84 52
- TELEPHONE SECRETARIAT: +32 9 264 69 30
- ADRESS: Universiteitstraat 4, Ghent, Belgium
- ORCID: 0000-0002-4504-3325
Selected societal impact activities
Selected media
Selected events
Expertise
- Predictive policing
- Predictive modelling
- Spatio-temporal analysis of crime
Selected projects
- 2017-2020 – PhD – Predictive policing as a tool for crime prediction and prevention: A methodological and operational evaluation
- 2016 – Research project – Criteria for the evaluation of crime prevention practices (in cooperation with the European Network for Crime Prevention)
- 2015 – Research project – Predictieve analyse ter bestrijding van criminaliteit (of Antwerp – Ghent University)
Selected publications
- Hardyns, W., & Rummens, A. (2018). Predictive policing as a new tool for law enforcement? : recent developments and challenges. EUROPEAN JOURNAL ON CRIMINAL POLICY AND RESEARCH , 24(3), 201–218.
- Rummens, A., Hardyns, W., & Pauwels, L. (2017). A scoping review of predictive analysis techniques for predicting criminal events. In Gert Vermeulen & E. Lievens (Eds.), Data Protection and Privacy under Pressure (pp. 253–292). Antwerp: Maklu.
- Rummens, A., Hardyns, W., & Pauwels, L. (2017). The use of predictive analysis in spatiotemporal crime forecasting : building and testing a model in an urban context. APPLIED GEOGRAPHY, 86, 255–261.