Rogue Scholar Posts

language
Lab ReportArt HistoryData VisualizationGraph DatabaseNetwork AnalysisHistory and Archaeology
Published in DH Lab
Author DH Lab

by Jaap Geraerts, Henry Keazor, Demival Vasques Filho, Rebecca Welkens and Thorsten Wübbena This clear call for secrecy and discretion can be found as a kind of prologue in issues of the so-called ‘Mittheilungen des Museen-Verbandes’, which were published from 1899 to 1939. 2 They were distributed by the “International Association of Museum Officials in Defence Against Counterfeiting and Improper Trade Practices” (“Internationaler

AIAgentsNeurosciencePhilosophyNatural Sciences
Published in Chris von Csefalvay
Author Chris von Csefalvay

There’s a pervasive problem with semantics in artificial intelligence. It’s present at the creation – the term itself characterises the subject as a man-made simulacrum of something ‘natural’ the way we speak of artificial flavourings and artificial rubber.

NewsletterComputer and Information Sciences
Published in rOpenSci - open tools for open science
Author The rOpenSci Team

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! 🔗rOpenSci HQ 🔗Farewell to software review editor Julia Gustavsen This month we say farewell to Software Peer-Review Editor Julia Gustavsen.

Museen + ArchiveUrheberrechtUrheberrechtsreformDeutsche NationalbibliothekInterviewLawGerman
Published in iRights.info

Zum 1. Juli 2025 startet der Lizenzierungsservice Vergriffene Werke (VW-LiS) neu. Dafür arbeitet die Deutsche Nationalbibliothek (DNB) eng mit der VG Wort und der VG Bild-Kunst zusammen. Simon Herrmann stellt im Interview die technischen Verbesserungen und rechtlichen Hintergründe des Projekts ausführlich vor.

AquilopsLife RestorationsNavel BloggingStinkin' MammalsStinkin' OrnithischiansEarth and related Environmental Sciences
Published in Sauropod Vertebra Picture of the Week
Author Matt Wedel

Gotta say, watching Scarlett Johansson making eyes at Aquilops is not getting old. Screengrab from this clip, the good stuff starts about 6:19. This short clip from the Tonight Show is also pretty great. Aaaand Halloween costume: sorted. I already have everything I need! (…except the lifelike Aquilops puppet. Dammit.) I may get back to posting actual science when I’m not drowning in summer anatomy teaching. Three days to go.

Interesting ChemistryChemical Sciences
Published in Henry Rzepa's Blog

This are just a few insights I have got from some of the talks I attended. As usual, this does not represent a report on the WATOC congress itself, but simply some aspects that caught my personal eye. Frank Neese talked about his Bubblepole approximation for large molecules.[cite]10.1021/acs.jpca.4c07415[/cite] And he was not kidding – large.

DeutschForschungBlog Series: 10 Years After The "Long Summer Of Migration"Blogreihe: 10 Jahre Nach Dem „langen Sommer Der Migration“EuropäisierungSocial ScienceGerman
Published in Netzwerk Fluchtforschung
Author Ko-AutorInnen

Die EU-Migrationspolitik bewegt sich seit jeher zwischen Logiken selektiver Offenheit und Abschottung. Seit dem Sommer der Migration befindet sie sich in einer Konjunktur, in der sich Strategien einer stärkeren Europäisierung mit einer forcierten Renationalisierung konfrontiert sehen. In diesem Kontext entfalten sich aus den politischen Kämpfen und Rechtskämpfen widersprüchliche Dynamiken.

Software Peer ReviewEditorsROpenSci TeamComputer and Information Sciences

We are excited to welcome Emi Tanaka and Nima Hejazi to our team of Associate Editors for rOpenSci Stats Software Peer Review.They join Laura DeCicco, Julia Gustavsen, Jouni Helske, Toby Hocking, Rebecca Killick, Anna Krystalli, Mauro Lepore, Noam Ross, Maëlle Salmon, Emily Riederer, Adam Sparks, Beatriz Milz, Margaret Siple and Jeff Hollister.Since 2015, rOpenSci has operated a thorough and collaborative software peer review system.Our

Natural Sciences
Published in Konrad Hinsen's blog

How can we document software and computational analyses in such a way that others can convince themselves of their validity, and build on them for their own work? The question has been around for many years, and a number of attempts have been made to provide partial answers. This post provides a brief review and describes my own tentative answer, inviting you to play with it. Explainable AI is a hot topic today.