iiinova — where your digital self keeps evolving

PS: A direction I think we should follow more: preprint more, revise more, publish less.

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🔓 Open data, code, and previous versions of the paper are available here: osf.io/54tga/overview

osf.io

OSF

2️⃣ We added on what makes journeys unique as an analytical framework. We reflect on the similarities and differences between crime journeys, crime scripts, kill chains, and TTPs. Journeys excel at analyzing individual actions before and during the crime in great detail across space and time.

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Daniel Lakens @lakens.bsky.social · 18/08/2026

Two major additions since the previous preprint version: 1️⃣ Instead of discussing two separate types of journeys (human and data), we propose generic "cyber journeys" and introduced the concept of a "journeying entity." Entities can be human (e.g. offenders, victims) or non-human (e.g. data, bots).

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Reposted by Asier Moneva

A Spanish translation of my textbook Improving Your Statistical Inferences, made by Juan G. Fernández Fernández, is now available here: juangff85.github.io/inferencias-... I am very grateful Juan worked so hard to made the contents available to Spanish speakers!

juangff85.github.io

Mejora de tus Inferencias Estadísticas

Traducción al castellano de “Improving Your Statistical Inferences” de Daniël Lakens

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Carl T. Bergstrom @carlbergstrom.com · 21/07/2026

13. Hence our dismal conclusion: rather than finding that LLMs free us to do a better job of what we were doing before they came along, they shift scientific incentives (and the playing field of academic competition) in ways that compel us to do more and more, faster and faster, less and less well.

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Carl T. Bergstrom @carlbergstrom.com · 21/07/2026

1. We—@eduede.bsky.social, @mjcrockett.bsky.social, Kevin Gross, and I—have a new preprint on the arXiv today, based on ideas that emerged during an @sfiscience.bsky.social workshop in November 2024: The unintended consequences of large language models as a labor-augmenting technology in science.

arxiv.org

The unintended consequences of large language models as a labor-augmenting technology in science

As a labor-augmenting technology, large language models (LLMs) have the potential to accelerate scientific activity across the research pipeline. But even if LLMs perform on par with human experts at ...

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Daniel Lakens @lakens.bsky.social · 17/07/2026

After a little break due to busy schedules Nullius in Verba will be back with a new podcast episode later today! We will discuss when and how artificial intelligence and automation can improve the way we do science. Keep an eye on your podcast players!

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European Network for Open Criminology @opencriminology.bsky.social · 14/07/2026

📢 Interested in collaborative replication, open science, and research methods in criminology? Join us at the inaugural meeting of #CRIMLabs, a new international Many Labs initiative, at @opencriminology.bsky.social pre-conference meeting (9 Sept 2026). Details in the leaflet 👇

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Alex Trinidad @alextrinidad.eurosky.social · 14/07/2026

⏰A quick reminder that nominations are closing soon! Submit your nomination before the deadline (16/07/2026)!

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Asier Moneva @asiermoneva.com · 01/07/2026

Even the handle says I'm invalid

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Stijn Ruiter @stijnruiter.bsky.social · 17/06/2026

We know a lot about whether investigative interviewing techniques work—but far less about how to implement them, for whom they work, and at what cost. Our new paper shows how the EMMIE framework can help bridge the research–practice gap. doi.org/10.1080/1561... #EvidenceBasedPolicing

doi.org

The practical relevance of investigative interviewing research: applying the EMMIE framework to bridge the research-practice gap

Investigative interviewing research has produced valuable insights into effective techniques for gathering information. However, this research often fails to fully bridge the gap between academia a...

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European Network for Open Criminology @opencriminology.bsky.social · 16/06/2026

📢 Nominations are open for the 2026 Open Criminology Award! Recognising outstanding contributions. 🆕 New for 2026: 🏆 ECR Award (€1,500) 🏆 Established Researcher Award (€2,000)* 📅 Deadline: 16 July 2026 🔗 esc-enoc.github.io/open-crim-aw... #OpenCriminology #OpenScience *Subject to final agreement.

esc-enoc.github.io

Open Criminology Award – European Network for Open Criminology

This document describes the terms of reference of the Open Criminology Awards of the European Network for Open Criminology (ENOC)

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Lisa Tompson @lisatompson.bsky.social · 15/06/2026

The idea is a target article, followed by invited and submitted peer-reviewed commentaries representing diverse perspectives, with the original authors given a right of reply. The goal is to open up space for discussion on how we can get Open Research to work for everyone. Any takers?

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Jose Pina-Sánchez 🇪🇺 @jpinasanchez.eurosky.social · 04/06/2026

@rjbeecham.bsky.social, Caroline Tait, Juan Fonseca and I have a new registered report and are looking for feedback before we conduct the analysis: "The Road Violence Toll of Urban Sprawl: A Registered Report of Collisions with Cyclists and Pedestrians in England and Wales" osf.io/preprints/so...

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In terms of attitudes, we saw some differences regarding career stage and methodological preference, but nothing *striking* (sample is obviously limited). Of course, actual behavior is a different thing. Agree 100% about the lack of incentives.

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👥 With: Wim Bernasco, Steve van de Weijer, Beate Völker, and @nivette.bsky.social 🔗 Read the full paper here: osf.io/preprints/so...

osf.io

OSF

(While we are a criminology institute, we believe researchers in many other scientific fields will recognize these exact same barriers.) This study serves as an initial assessment to help guide organizational change regarding open science.

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A large portion of these barriers involved a lack of supportive culture, incentives, and training. This was followed by concerns over privacy, security, and proprietary rights, as well as challenges within the current format of academic publishing.

While most arguments were positive (58% positive, 12% neutral, 30% negative), we wanted to understand why certain practices faced hesitation. Our qualitative analysis identified an average of 4 barriers per practice, totaling 36 unique ones.

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Interestingly, the feedback was highly nuanced. On average, our peers are not simply 'for' or 'against' open science as a whole; instead, they support different combinations of these practices.

A correlogram of Spearman’s rank correlations between the nine attitudes towards open science. Only a subset of tiles with significant correlations are colored.

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6️⃣ conducting open peer review 7️⃣ using open-source software 8️⃣ preregistering research 9️⃣ disclosing contribution roles As expected, we found generally positive attitudes. However, colleagues were more cautious about two specific areas: publishing preprints, and conducting open peer review.

A bar plot ranking the attitudes towards the nine open science practices. For each practice, the distribution of the responses on the 5-point Likert scale is shown. Practices are ranked as follows:
1) publishing in open access
2) sharing open materials
3) using open source software
4) sharing open code
5) disclosing contributor roles
6) sharing open data
7) pre-registering research
8) publishing preprints
9) conducting open peer review

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In our new paper, we conducted a case study at our institute, the NSCR, to analyze our staff's attitudes toward open science. We surveyed our scientific team on 9 different practices: 1️⃣ publishing open access 2️⃣ publishing preprints 3️⃣ sharing open code 4️⃣ sharing open data 5️⃣ sharing open materials

Daniel Lakens @lakens.bsky.social · 27/05/2026

Many researchers support #OpenScience in principle, but argue they face real barriers when putting it into practice.

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Excellent news! Nature is expanding Registered Reports to all the fields in which they publish! A great result by all those proposing this strong solution to publication bias and selective reporting (and getting expert feedback before data collection)! www.nature.com/articles/d41...

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Stijn Ruiter @stijnruiter.bsky.social · 20/05/2026

Important new step for the field of Crime Science! With the giants in the field (and me), we recently registered the International Society of Crime Science register-of-charities.charitycommission.gov.uk/en/charity-s...

INTERNATIONAL SOCIETY OF CRIME SCIENCE - Charity 1217484

Charity details for INTERNATIONAL SOCIETY OF CRIME SCIENCE - Charity 1217484

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Jose Pina-Sánchez 🇪🇺 @jpinasanchez.eurosky.social · 15/05/2026

New registered report with @alextrinidad.eurosky.social & @ianloader.bsky.social, under review at PCI RR: "Road Violence and Perceptions of Safety among Pedestrians and Cyclists" We test if the fear of crime paradox applies to the road violence context. We welcome feedback, osf.io/preprints/so...

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Asier Moneva @asiermoneva.com · 12/05/2026

Ah, gotcha! I'm increasingly in favor of time-gating paper publication. For example, allowing only one paper as first author per semester (publishing could be tracked through author IDs on this scenario). I also like ideas around a 'token system' such as:

Daniel Lakens @lakens.bsky.social · 11/05/2026

Reposted by Asier Moneva

Updated my textbook with a cleaner lay-out, better accessibility, and eight new interactive visualizations made completely in html (such as this illustration of the positive predictive value). lakens.github.io/statistical_...

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Asier Moneva @asiermoneva.com · 12/05/2026

I agree, but if we don’t have to review AI slop, that’d already a big step forward. A concern I have about this ‘less regulated’ PRC model is that some papers may receive a disproportionate number of reviews (e.g. due to hot topics, known authors), while others will get none.

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Stijn Ruiter @stijnruiter.bsky.social · 11/05/2026

I have high hopes for the Publish-Review-Curate model, with ID'd authors and reviewers, open peer review, and collections that, as a result of the previous two steps, allow to filter out all (or almost all) of the AI slop.

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What do "nodes", "paths", and "activity spaces" look like when we stop theorising and start tracking real mobility? This paper turns smartphone spatio-temporal data into replicable measures for testing core assumptions in environmental criminology. doi.org/10.1177/0042...

doi.org

Sage Journals: Discover world-class research

Subscription and open access journals from Sage, the world's leading independent academic publisher.

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Finally, we discuss how we should redefine these offender 'hangouts' in the digital age, and offer some advice to help professionals disrupt youth involvement in financial cybercrime. 6/6

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We also found that digital hangouts (e.g. Telegram) are increasingly important. Due to easy access and limited moderation, certain online platforms have become key entry points where youth encounter cybercriminal opportunities. 5/6

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