







As 2027 approaches, senior leaders are facing another year of uncertainty across the research enterprise. Steep declines in applications and admissions of
Director Michael Kratsios on Twitter / X
In response to @POTUS's call for a revival of America's scientific enterprise, today I’m releasing Science: A New Golden Age.This report is a blueprint for renewing American scientific leadership for the 21st century. pic.twitter.com/ikM6pX2ndP— Director Michael Kratsios (@mkratsios47) July 21, 2026

Ask the Fellows: SSP's 2026 Annual Meeting - The Scholarly Kitchen
Today, we offer reflections on the SSP Annual Meeting from our 2026 Fellowship cohort.

Coordinated Research Programs — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation (V2)
In many cases, ambitious R&D problems are not well-suited to individual academic labs, startups, or other existing institutions.

How to Do Ambitious Research in the Modern Era
Aspiration | Better Tools for a Better World
It's our 23rd Anniversary! Nonprofit staff, developers, capacity builders, and grassroots activists will convene at the 2026 Nonprofit Software Development Summit, 18-20 November, 2026, to share knowledge, build capacity, and collectively envision the future of free, open and equitable digital tools and practices to support social change efforts.
The Surprising Value of Obvious Insights | MIT Sloan Management Review
Confirming what people already believe can sometimes help organizations overcome barriers to change.

Andrej Karpathy on Twitter / X
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.— Andrej Karpathy (@karpathy) May 19, 2026
BiTS Americas Webinar 25 November 2025
This morning, I had the distinct honour of giving the opening keynote at #RSECon26: "Where does the rigour go? Research software and the future of trustworthy science" The core argument: AI is… | Arfon Smith
This morning, I had the distinct honour of giving the opening keynote at #RSECon26: "Where does the rigour go? Research software and the future of trustworthy science" The core argument: AI is making it dramatically cheaper to produce plausible scientific outputs, without necessarily making them cheaper to check. The scarce resources are shifting towards attention, judgment, and verification. This is no doubt a disruptive time for research software engineers and research more generally. For Research Software Engineers specifically I think that creates some important new opportunities around: encoding domain judgment, building verification infrastructure, connecting agents to reality, and helping ensure that the emerging verification layer for science remains open. Thanks to everyone at RSECon26 for the thoughtful discussion, and especially to the many people whose work and ideas I that heavily influenced this talk. Link to slides in first comment
Jason Shepherd on Twitter / X
I have quite a lot of thoughts on this..that won't fit in a tweet. Bottomline is that there are issues scientists in the US would love to improve - faster review, less grant writing, more stability and freedom to do risky science. The folks celebrating this doc are mostly../1 https://t.co/xlPAH9XYNC— Jason Shepherd (@JasonSynaptic) July 23, 2026
Plan S
Plan S is an initiative for open-access science publishing launched in 2018[1][2] by "cOAlition S",[3] a consortium of national research agencies and funders from twelve European countries. The plan requires scientists and researchers who benefit from state-funded research organisations and institutions to publish their work in open repositories or in journals that are available to all by 2021.[4] The "S" stands for "shock".[5]
Correction of scientific literature: Too little, too late!
The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the limitations of the current scientific publication system, in which serious post-publication concerns are often addressed too slowly to be effective. In this Perspective, we offer suggestions to improve academia’s willingness and ability to correct errors in an appropriate time frame.


A protocol for attributable modular research contribution - Matsuthoughts
I wrote this essay in response to Seemay Chou's call for essays on systemic bottlenecks to science. Structural change in scholarly communication practices i…
Who Will Keep Research Data Infrastructure Open and Running?
The scientific community must consider the longevity of open research infrastructure—why it might fail and how to prevent it.
