I help people use data to reduce crime. Associate Professor at @UCLCrimeScience. Former police officer.

Nottingham and London, UK
Joined April 2009
When a temporary speed trap (🇦🇺) appears on phone navigation apps (Waze, Google Maps, etc.), average vehicle speed on that road drops by about 4km/h. One for academics still teaching students that offenders don't make rational choices, I guess. 😉 doi.org/10.1007/s11292-026-0…
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Matt Ashby retweeted
I’ve heard Journal of Quantitative Criminology will soon require opens data/code…which will make it the only journal in the entire field to do so. In late 2026. We should be embarrassed! Complete abrogation of basic scientific responsibility for decades. And seemingly no urgency from the editors of Criminology, Justice Quarterly, Criminology & Public Policy, or Journal of Experimental Criminology. There was an effort to get there from the last two editors of criminology, but the new editors haven’t followed through. Meanwhile, what year do you think the first preregistered RCT was published in the fields flagship journal Criminology? If you guessed 2026 then you win (proud to have authored that one 😁).
Chatting with a friend about ongoing efforts in Economics to use AI to replicate every econ paper ever published. This is scary for individual researchers, of course (everyone lives in fear of a coding error), but clearly good for science. I'd love to see this applied to Criminology, but those journals still don't require authors to post their data or code. 🙄
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Embedding mental-health clinicians in police control rooms (🇺🇸) was associated with a small drop (about 7%) in police deployments to mental-health calls. Seems like this would have been a good opportunity for a randomised controlled trial, though. doi.org/10.1080/0735648X.202…
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Of 812 articles in the British Journal of Criminology (2014–2024), only 0.2% (two articles in 11 years!) used experimental/quasi-experimental methods. (Quasi-)experiments aren't good for everything, but is UK crim research really using the right methods? doi.org/10.1007/s11292-026-0…
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An excellent blog post on some of the challenges of using generative AI tools in policing. As so often, it’s the non-technical issues that are the hardest to work through! Definitely worth your time: stephenrussell996702.substac…
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This paper finds that the chances of a person with a criminal conviction (🇺🇸) being charged with a further crime drops rapidly every year afterward conviction, such that after 10 years they're no more likely to reoffend than the population at large. doi.org/10.1111/1745-9125.70…
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This study finds police officers (🇨🇦) perceive dealing with an armed robbery or violent domestic assault in progress as much more dangerous than driving to an emergency call, even though vehicle crashes are the top killer of cops (in 🇨🇦 and elsewhere). doi.org/10.1080/10439463.202…
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More undocumented immigrants moving into a neighbourhood (🇺🇸) is associated with a small *decrease* in violent crime rates and no change in property crime. More legal immigrants moving to an area isn't associated with changes in violent or property crime. doi.org/10.1080/07352166.202…
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It also argues that AI tools are developing so fast normal crime-prevention structures in policing, government and elsewhere (not to mention academia) won't be able to move fast enough to keep on top of AI crime.
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This huge replication (🇺🇸) of the 'Koper curve' on how long hotspot patrols should last reinforces the original findings: patrols are effective once cops are in a hotspot for 15 mins, after which staying in that area has no extra crime-prevention effect. doi.org/10.1111/1745-9133.70…
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Useful estimates in this paper of how long it takes for crimes of different types of be reported and recorded (🇺🇸), i.e. how long it takes for crime data to be 'stable' enough for research and analysis. For most types, >90% are reported within 14 days. doi.org/10.1080/07418825.202…
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This paper finds the 'iron rule' that most crimes happen in a small number of places applies equally in an African city (Abuja, 🇳🇬) and when measured using data from a door-to-door survey rather than police data (which is limited by under-reporting). doi.org/10.1057/s41300-026-0…
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Surely no researcher would actually do this. 😉
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