
Publications and Research
Document Type
Presentation
Publication Date
Summer 8-13-2024
Abstract
In this keynote address, I emphasized the critical role of accurate crime measurement in developing evidence-based policies. I discussed the "dark figure of crime," highlighting how many crimes go unreported, and stressed the importance of victimization surveys in uncovering these hidden crimes to provide a more complete picture of criminal activity.
I also explored how technological advancements, particularly AI, are transforming how we collect and analyze crime data. While AI offers significant benefits in predictive policing and resource allocation, I cautioned about the risks of bias and privacy issues that must be managed carefully.
Regional collaboration, standardization, and inclusivity are key to improving crime measurement tools like the Crime Victimization Survey (CVS) and Crime and Criminal Justice Statistics (CCJS). By incorporating emerging crime trends and leveraging technology, we can enhance our understanding of crime and develop more effective policies to create safer societies across the Asia-Pacific region.
Included in
Criminal Procedure Commons, Criminology Commons, Criminology and Criminal Justice Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons
Comments
https://orcid.org/0000-0001-5383-2976
On the Occasion of The 3rd Asia Pacific Expert Conference for Criminal Justice (APECCJ).
Main Theme: Evidence-Based Policy & Digital Technologies: The Future of the Asia-Pacific Region's Crime Victimization Survey (CVS) and Crime and Criminal Justice Statistics (CCJS).
August 13, 2024
Seoul, South Korea