In a recent blog post, Titus Brown asks if software is a primary product of science, and basically says "no" (but do read the post for the details). A blog-post length reply by Daniel Katz comes to the opposite conclusion (again, please read the post before continuing here). I left a short comment on Titus' blog but also felt compelled to expand this into a blog post of its own - so here it is.
Linking the world's research to the code it runs on - OpenAlex blog
Research relies on software. Software written by scientists, for science, runs through the entire modern research stack: NumPy and SciPy, R and ggplot2, Jupyter, BLAST, ImageJ, AlphaFold. Yet in the scholarly record, that software is nearly invisible. Software is not usually cited formally in publications and is usually just mentioned in the text, which means […]
Science is open software
TL;DR I claim that modern science is synonymous with open source software. This post explains why, why it matters, and what you can (and should) do next. Why do you care about (open source) software? - Everyone I spend a lot of my time working on software. I have been asked why software matters more times than I can remember. Software is, people say, not science. It’s a time sink, something to rush past in the pursuit of what really matters: results (and papers if you’re in academia).
Konrad Hinsen's blog
At the recent SciCodes Symposium, I brought up the question of reviewing research software during the panel discussion. One panelist then raised the question of why we should review research software. I found this question surprising at first, but I do agree that it deserves an answer. Here is mine.
The Evolution of Software
Last week Chris Paik published a Google Doc titled, The End of Software, where he articulates the lowering cost of software development and potential implications. He ends the piece with a provocative statement: "Majoring in computer science today will be like majoring in journalism in the late...
Radial — Science needs a new operating system.
We design, fund, and operate high-impact programs that prototype a new model for how science is done, shared, and scaled for real-world utility.
Science Works on Twitter / X
London AI × Science Hackathon 👾Science Works × @inherent_labs • Oct 16-18Lots of scientific software is outdated, hard to use, and isn't interoperable – let alone making use of (or ready to interface with) AI.Or it's expensive. Join us to build better for the community pic.twitter.com/42Qq528DDw— Science Works (@sci_works) September 30, 2026
How to SNIFF out Good Scientific Software
New PLOS Computational Biology paper: "Ten Quick Tips to SNIFF Out Sustainable and Secure Scientific Software"
computational product market fit
‘computer science is no more about computers than astronomy is about telescopes.’ — edsger dijkstra
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.
The Bazaar of Scientific Knowledge | shishyko!
Is the current form of the scientific paper still optimal in 2025? How do we preserve, and efficiently leverage, the uncut gems of the scientific process?
Malleable Software in the Age of AI - Geoffrey Litt
Where does the rigor go? Research software and the future of trustworthy science.
Generative AI now makes it dramatically easier to produce something that looks like research: analysis code, figures, literature reviews, even whole pap…
Kevin Weil 🇺🇸 on Twitter / X
💥 Today we’re introducing Prism—a free, AI-native workspace for scientists to write and collaborate on research, powered by GPT-5.2.Accelerating science requires progress on two fronts:1. Frontier AI models that use scientific tools and can tackle the hardest problems2.… pic.twitter.com/cnLysHixuQ— Kevin Weil 🇺🇸 (@kevinweil) January 27, 2026
Perfect Software - Software for an Audience of One
We have many names to describe personal tools. Malleable software speaks to how it behaves. Home-cooked software speaks to who makes it.
