Yet *ANOTHER*?? π€¦π»ββοΈ
@asiermoneva.com
Criminologist | Researcher in cybercrime @nscr-instituut.bsky.social & The Hague University of Applied Sciences | Co-Chair @opencriminology.bsky.social π: asiermoneva.com π¬: π¬π§πͺπΈπ³π± π: Amsterdam - The Hague
Yet *ANOTHER*?? π€¦π»ββοΈ
This was the book that got me into #RStats. Can't recommend enough!
Is it unpopular to say that I like the old Open Science Framework @cos.io website better? π«£
A screenshot of the Eurosky migration service to migrate your AT protocol account to Europe. A message reads: "The migration service is currently at capacity (100 active migrations). Please try again in a few minutes.
Done! β
And it looks like many other people were busy with migration as well.
The paper also suggests there may be room for intervention. The concerns raised by forum users, especially about how reliable large language models really are, aren't that different from the ones many of us have.
It doesn't seem that everyone in these communities is already using AI effectively and benefiting from it, but it's also clear that these tools aren't useless to them either.
A lot of expectations are being placed on near future advances, so this is an area we should keep an eye on.
Interesting new preprint by Dupont and colleagues looking at how people in cybercrime communities are talking about AI tools. It was nice to see a balanced take on the issue---for once.
π doi.org/10.48550/arX...
Screenshot of the "Does that use a lot of energy?" online app
Hannah Ritchie has built a fun little tool where you can compare energy usage of various products and activities.
This is super helpful imho, because it's so hard to develop intuitions even just about the scales involved here.
hannahritchie.substack.com/p/does-that-...
***A reminder for next month's deadline for the 8th edition of the Human Factor in Cybercrime Conference which is set to take place 7-9 December in Melbourne, Australia.***
Our first newsletter is out! Read it here: mailchi.mp/d6127976d232... Including a call for a roundtable on replication at #eurocrim
On it!
What a nice read! I like how you highlight the potential and versatility of SRs. Makes me wonder whether the evidence base in some criminological fields is sufficient in quantity and quality to even be synthesized, and whether some SRs are then not carried out prematurely.
Hi @lisatompson.bsky.social! ππ» I'd love to read your paper. Would you mind sending me a copy?
The word "crime" with its letters reshaped to form the silhouette of a car.
Here's my contribution to the symposium in the form of a logo. You're welcome.
Maybe get the Mayor involved in 'Cars & Crime'? @jpinasanchez.bsky.social
New piece from us in the @esc-eurocrim.bsky.social newsletter, on why Criminology is lagging behind in Open Science and steps needed from the ESC to promote #openscience. escnewsletter.org/archive/crim... With TorbjΓΈrn Skardhamar and Jakob Demant
Looking forward to joining the hackathon with my fantastic team tomorrow. All the prep work has already been a lot of fun. Learning a lot about how replications work in practice. Highly recommended!
This year featuring the great @sandyschumann.bsky.social, recipient of the @opencriminology.bsky.social 's Open Science Award with a talk on... yes, you guessed correctly: #OpenScience!
"Some [offenders] transitioned from street crimes to financial cybercrimes and can be characterized as cafeteria-style offenders, driven by opportunism and perceived profits. These offenders appear to seize new opportunities provided by technology to steal money from victims."
There has been pushback against the idea that street criminals simply shift to cybercrime, mainly because the required skill sets differ. However, growing evidence suggests such transitions do occur, which may help explain broader crime trends.
π link.springer.com/article/10.1...
Life is what happens to you while entering credentials to login to remote work environments.
Hello Criminology journals! ππ»
Homicide offenders are almost invariably men.
93% of convicted homicide offenders were male. 65% of cases involved male victims killed by male suspects, 26% of cases involved female victims killed by male suspects, and 4% of cases involved male victims killed by female suspects.
Nice.
If you haven't done it yet, consider following @mattashby.com for rigorous crime analysis and tasteful data visualization. π¨π»βπ³π€π»π
As Science reports, arXiv added an endorsement requirement for first-time posters to curb AI submissions. COS Exec Director Brian Nosek says it's "a reasonable approach," but for smaller servers, this could exclude real researchers who lack strong connections:
www.science.org/cont...
El 6 de Febrero doy un curso de introduccion al analisis cuantitativo de penas #sentencing para la Universidad de Salamanca, dejo aqui los materiales en abierto para cualquiera que le pueda ser util, jmpinasanchez.github.io/sentencias.h...
Line chart showing the homicide rate per million people in England and Wales from 1900 to 2024. Light purple dots represent the annual rate, a thick purple line shows the trend, and black triangles mark spikes during the World Wars. A single black dot in 2003 highlights Harold Shipmanβs murders, which were recorded that year despite occurring earlier. The rate generally declined from 1900 to the mid-1960s, then rose until the early 2000s before declining again. Data source: Home Office historical crime data. Base: all recorded homicides, 1900β2024. Vertical axis ranges from 0 to 20 homicides per million people.
A bar chart comparing homicide rates per million residents in 2023 across European countries. Each country is represented by a vertical blue bar, except for England and Wales, which is highlighted in dark purple. A dotted line indicates the EU average of 9.1 homicides per million. Malta has the lowest rate, while Latvia has the highest, exceeding 40 homicides per million. England and Wales sits at almost exactly the EU average. Countries are listed along the x-axis, and the y-axis shows homicide rates. Data sources are the Home Office for England and Wales, and Eurostat for other countries.
Bar chart showing homicide rates per million residents in countries with populations over 10 million, using the most recent available data (since 2021). Countries are sorted left to right by increasing homicide rate. Japan, Indonesia, and South Korea have the lowest rates, all well below the 2023 world average of 52 homicides per million (marked by a dotted line). England and Wales appears below average. The highest rates are seen in Brazil, Mexico, Colombia, South Africa, and Ecuador, with Ecuador exceeding 450 homicides per million. Source: Home Office (UK) and World Bank. Vertical axis shows homicide rate; horizontal axis lists countries.
We're consumed by stories of murder, but how much do you know about homicide in England and Wales?
Every day this week I'm going to post a thread summarising a different aspect of what data can tell us about the nature of homicide.
π§΅
One of the best episodes so far (both parts)! Loved the back and forth and the camaraderie between @lakens.bsky.social and Smriti Mehta. Found myself laughing out in the train a few times! π
Happy birthday Matt!