Journal of Quantitative Criminology

Generative AI is reshaping how we live, work, and produce knowledge. Its influence on scientific research is accelerating across every discipline, and criminology is no exception. In light of the profound transformation that this technological revolution entails, this special issue of the Journal of Quantitative Criminology seeks to explore the intersection of generative AI and crime. 

The Journal of Quantitative Criminology proudly features a Collection of articles on “Advances in Spatial Networks, Mobility, and Crime,” Guest-Edited by Corina Graif (Pennsylvania State University, USA).  Click the heading to learn more!

The Journal of Quantitative Criminology is a Hybrid journal. By default, journal publications are paywalled and available subscription-only; authors are never asked to pay a fee at any stage of the editorial evaluation process. Following their paper's acceptance, authors may choose to publish in Open Access format to widen the reach and amplify the impact of their work. If you're interested in publishing Open Access research in the Journal of Quantitative Criminology start by assessing your eligibility for funding—through Springer's Nature's Open Choice program as well as our fast-expanding Open Access agreements with a range of participating countries and institutions that cover open access costs for authors. View all of this journal’s Open Access articles here.