About

Garden Research is an independent institution studying how AI is changing science, our access to information, knowledge and learning.

We exist at a particular moment. The infrastructure around how knowledge is created, validated, and shared, the systems that determine what counts as understanding and who gets to build it, is undergoing a shift unlike anything in recent memory.

AI is accelerating research, reshaping peer review, generating hypotheses, synthesizing literature at scale. The question of how we know what we know is no longer a purely philosophical concern. It's a live engineering problem, playing out right now, in real labs, at real institutions, with real consequences.

Garden Research investigates this shift. We study what it means to maintain scientific rigour in an age of agile experimentation, how explanation and discovery change when the tools of inquiry themselves are changing, and what it takes to keep knowledge honest, open, and genuinely useful.

And this isn't only an academic problem. Research is now something everyone does: founders validating assumptions, journalists investigating claims, practitioners making decisions, curious people trying to understand a world that keeps accelerating. The frameworks for thinking clearly about evidence, methodology, and knowledge quality matter far beyond the lab.

We work through research projects, essays, and a newsletter that follows science's evolving relationship with machine intelligence.

Our practice is for anyone willing to sit with a hard question: researchers, practitioners, and the genuinely curious, for the new generation on scholars who don't need permission to think.