Matt Ashby

@mattashby.com

I help people use data to reduce crime. Associate Professor, Crime Science, UCL. Former police officer. 🌐: mattashby.com

This detailed review of what we know about gun-shot detection systems (eg Shot Spotter) explains how thin evidence of their effectiveness is, despite them having been studied quite a lot and police (🇺🇸) spending a lot of money on them.

Assessing the Impact of Gunshot Detection Technology: Methodologies, Analytical Approaches, and Insights

This chapter examines the implementation and impact of gunshot detection technology (GDT) by law enforcement agencies across the United States. While GDT holds promise for enhancing police response…

doi.org

After being Taser trained, police (🏴󠁧󠁢󠁥󠁮󠁧󠁿) tended to use Taser when they would have used other tactics like restraint. But that didn’t lead to any change in the likelihood of officer or subject being injured. (NB, though: not a randomised trial)

Taser Training, Injury and the Tactical Mix of Police Recorded Use of Force: Evidence from London

Taser rollout rests on a two-part promise: control at a distance should replace close-contact force and reduce injury. Using 579,524 Metropolitan Police use-of-force reports from 2018–2021, we…

crimrxiv.com

Shout out to the man on the train calling his bank about ID theft and who has read his name, postcode, and the long number on his card to the whole carriage.

New tech can create new crime opportunities. If tech isn’t designed so it blocks these opportunities, new tech can cause a crime boom. I played a small part in this paper that tries to spot crime opportunities created by climate change mitigation tech e.g. renewable energy.

Redirecting

doi.org

It is actually *very* simple: Being pro-immigration = being pro-British. Whatever problems immigration sometimes can bring in its own right, it is a driver of growth and the UK needs it. No matter how extreme policies get, these facts will *not* change. So this is not simply a choice for …

The wonders of academic publishing: a paper about crime at Notting Hill Carnival desk rejected by The *London* Journal because it’s not focused enough on London. The paper is entirely and exclusively about one of the most controversial aspects of one London’s most important events. 🤷‍♂️ 😔

On this day in 1981, Richard Cobb got an honorary degree from the University of Essex. That may not seem significant to you, but it makes this afternoon the 45th anniversary of one of the finest graduation addresses ever delivered 🧵

A grey slate plaque with white lettering reads: Historian Richard Cobb got an honorary degree here on a sweltering day in 1981. His speech, in full: “Well, it’s very hot and the pubs are open.”

Police officers (🇺🇸) make fewer traffic stops towards the end of a shift, but the stops they do make are more likely to result in finding offences. Suggests cops are able to predict pretty well before a stop how likely they are to find something.

Tough Shift: The Temporal Dynamics of Police Discretion - Journal of Quantitative Criminology

Purpose Estimate the causal effect of shift timing on discretionary police behavior. We test whether patrol officers’ enforcement activity changes near the end of shift and whether stop selectivity…

doi.org

Interesting survey results showing most public-policy researchers use AI tools in research (despite few receiving any training), but in a limited way and despite having concerns. Most wanted better guidelines from professional bodies and universities: policyviz.com/2026/07/01/a...

Many Researchers Use AI. Most Want Their Professional Associations to Help. - PolicyViz

APPAM's 2026 member survey reveals how public policy researchers are using AI tools—and where confidence, training, and clear standards are falling short.

policyviz.com

Lots of examples here of good everyday uses of AI tools. I use various AI tools for quite a lot of work tasks, but what they’re capable of has moved so fast that it’s very useful to hear what other people are using them for.

Steven Rajam@stevenrajam.bsky.social · 2mo ago

Amidst all the "AI is unremittingly awful and unreliable and will eat our faces" takes on BlueSky, I enjoyed this a lot. It mirrors my experience pretty closely. takes.jamesomalley.co.uk/p/how-ai-has...