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

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.

This is the fifth part of a blog post series on spatial machine learning with R. You can find the list of other blog posts in this series in part one.

Most regular readers will know about DinoCon, a two-day semi-technical/semi-popular conference being run by SV-POW!’s own Darren Naish. (Darren is very much a silent partner here, and is much better known for his own blog Tetrapod Zoology, and of course for his technical work.) The first ever DinoCon will be this summer — Saturday 16th & Sunday 17th August at the University of Exeter.

What began in the fall of 2024 as a weekly experiment - just me, a blank page, and a question about how technology and humanity are reshaping each other - quickly grew into something more.

Being a researcher implies a long stretch of studies at the university to specialize in a certain field. To me personally, it felt like I just kept studying and studying, year after year, and… here I am.  One day, when I was 18 I went to the university and I am still there. I have come to realize that I never really mentally switched from being a student to being a professional or having a job.

Imagine having a super-powered map that connects every important idea, tool, and discovery in mathematics — that’s what zbMATH, and its incorporated platforms such as swMATH, a specific portal for mathematical research software, do. These platforms are like the ultimate librarians of math research, gathering and organizing knowledge from academic papers, software, datasets, and even citation networks. But they don’t just collect information; they make it smarter.

The post Mapping Mathematics – Integrating zbMATH Open and the PID Graph appeared first on DataCite.

I have an idea for an experiment.

If you are reading this blog on our website, you may have noticed that alongside each post we now list a Crossref DOI link, which was not the case a few months ago (though we have retroactively added DOIs to all older posts too). You can find the persistent link for this post right above this paragraph. Go on, click on it, we’ll wait. Are you back here? Good.

This tutorial shows two ways to accomplish skeletal editing reactions in the RDKit: By using Reaction SMARTS or atom editing. As my collaborator Dr. Phyo Phyo Zin posted in How to Use Skeletal Editing in Drug Discovery: Key Benefits &

My colleague Jim Schombert pointed out a nifty new result published in Nature Astronomy which you probably can’t access so here is a link to what looks to be the preliminary version.