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-summary: "Registration is open for the FORRT AI in Metascience Online Conference, 28–30 September 2026. Online, free to attend, 33 sessions over 3 days."
+summary: "Registration is open for the FORRT AI in Metascience Online Conference, 28–30 September 2026. Online, free to attend, 36 talks and workshops over 3 days."
sharing_description: "Register for the FORRT AI in Metascience Online Conference, 28–30 September 2026. Online and free to attend."
sharing_image_alt: "FORRT AI in Metascience Conference — online, 28–30 September 2026"
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-How is AI changing the way research is done, checked and understood? The **FORRT AI in Metascience Online Conference** takes three days over that question, with 33 accepted submissions from people who are studying it or building with it. Registration is now open, and everyone is welcome.
+How is AI changing the way research is done, checked and understood? The **FORRT AI in Metascience Online Conference** takes three days over that question, with 36 talks and workshops from people who are studying it or building with it. Registration is now open, and everyone is welcome.
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Cost
Free to attend.
Programme
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33 accepted submissions in a single track, so you can follow the whole conference if you want - or dip in and out as you like..
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36 talks and workshops in a single track, so you can follow the whole conference if you want - or dip in and out as you like.
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## What each day covers
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+**Monday 28 September: AI in the research pipeline.** What AI is already doing to the literature, whether it can carry out evidence synthesis, how it can inform research science evaluation ... and what legitimate and ethical AI adoption would look like.
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-Monday 28 September
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AI in the research pipeline
+**Tuesday 29 September: Replications and reproductions.** Replications and reproductions are key to credible science - yet currently hard to do and hard to find. Here, we explore whether AI can help with both, and discuss some risks of handing this work over to machines.
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What AI is already doing to the literature, whether it can carry out evidence synthesis, how it can inform research science evaluation ... and what legitimate and ethical AI adoption would look like.
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+**Wednesday 30 September: Workshops.** Three hands-on sessions of 90 minutes each, helping you to get started with AI for knowledge management, evidence synthesis or the evaluation and improvement of pre-registrations.
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-Tuesday 29 September
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Replications and reproductions
+## Programme
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Replications and reproductions are key to credible science - yet currently hard to do and hard to find. Here, we explore whether AI can help with both, and discuss some risks of handing this work over to machines.
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+Here are the sessions and the talks in each, in the order they run. **Click any talk to read its abstract.** The running order is provisional while speakers confirm their slots, so there are no clock times yet; those go up on **10 September**. Until then, plan by day and by morning or afternoon. Sessions run between 09:30 and 18:00 CEST (UTC+2).
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-Wednesday 30 September
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Workshops
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Three hands-on sessions of 90 minutes each, helping you to get started with AI for knowledge management, evidence synthesis or the evaluation and improvement of pre-registrations.
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Monday 28 SeptemberAI in the research pipeline
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Morning
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When AI writes the literature
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The problem as it already shows up in the correction record, the pressure producing it, and two routes to a better literature.
From what frontier models can extract, through a head-to-head test of the tools built on them, to the safeguards that would make an AI-assisted review checkable.
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Afternoon
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Evaluating science, and its evaluators
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What it takes to make a paper checkable in the first place, what human review actually does, what a computational novelty signal might add, and a tool that checks a paper against what its authors said they would do.
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Conditions for legitimate adoption
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What researchers do with these tools, what open infrastructure and open data would require, who gains or loses when the tools arrive, and the rules of use that follow.
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Closing provocation
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A challenge to the premise that complex problems are the kind of thing better tools solve.
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Tuesday 29 SeptemberReplications and reproductions
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Morning
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Reproducing the record
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Replication and reproduction as work actually done, with agents in the loop and with the paperwork that makes a result reusable, followed out to whether anyone downstream notices.
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Symposium: Can AI Help Us Understand How Findings Move from Animal Studies to Human Studies?
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Four talks, mostly by early-career researchers, on tracing the biomedical evidence trail across publications, trial registries and regulatory documents. Chaired by Benjamin Ineichen.
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Afternoon
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Getting our hands dirty: experimenting with agentic reproductions and robustness checks
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The practical counterpart to the talks either side of it. Take one published analysis, ask a coding agent to reproduce it and to check how robust it is, and see where it works and where it fails quietly. No prior experience needed.
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Symposium: predicting replicability
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Three talks and a panel on forecasting which findings will hold, and what such forecasts are for. Convened by Andrew Tyner.
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Machines that build and test the replication record
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First the benchmarks that measure what these agents can actually do, then the two databases being built on that basis with humans kept in the loop, and last the question the day has been circling: can an agent run the checks at human quality?
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Wednesday 30 SeptemberWorkshops, and analyst variability
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Morning
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Afternoon
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Does the finding survive another analyst?
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The other way a result fails to hold. The study is not repeated badly; a defensible alternative analysis simply lands somewhere else. And the alternatives increasingly consult the same model.
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-## When can I get the detailed programme
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-The full programme will be available here in early September. *Register now*, then come back in September to plan which time slots you want to keep clear.
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## Joining the sessions