I4R

The Institute for Replication (I4R) works to improve the credibility of science by promoting and conducting reproductions and replications.

[I4R @I4Replication]

🧵1/ Our first meta-science paper (with 350+ coauthors) is published today in Nature. It presents one of the largest-ever reproducibility projects in economics & political science.

Here’s what we found 👇

[I4R @I4Replication]

Already 115 registered participants within 24 hours.

10 slots left!

[I4R @I4Replication]

We are hosting Replication Games on Friday November 27th, 2026 at Uni Marburg. Studies on conflict, political violence, and early childhood interventions for education and health will be reproduced!

Register here: https://t.co/G70bjpDp8q

[I4R @I4Replication]

Serious data sharing policy and looking for a data editor. That's amazing and quite impressive given the norms in this field.

@JSportsSci

[I4R @I4Replication]

@StatModeling We deal with situations like this all the time. We're happy to release the comment as an I4R Discussion Paper, contact the authors and editors, etc. Glad to hear that BMC Public Health was responsive. Our experience with BMC journals has been very mixed.

[I4R @I4Replication]

Join us (https://t.co/uBdp9VFx9h) or have fun using our tool.

We will release another AI reproducibility + robustness tool shortly. The current tool does not deal with robustness/sensitivity analysis.

[I4R @I4Replication]

Looking for 125 researchers to participate in virtual forensic AI games! We will give you an AI report that documents irregularities in sports/exercise related articles.

Also releasing our open source new I4R AI Audit Protocol.

Details in this 🧵.

Join us!

[I4R @I4Replication]

How good is the I4R AI Audit Protocol? That's what the games will measure: your human reports are the benchmark. We'll report false positives, misses, and what it gets right by the end of the year.

[I4R @I4Replication]

Is this game over?

No, the replication games start in a few weeks! Stay tuned for more information.

[I4R @I4Replication]

Two more retractions and a discussion of what we learned. 🧵

#CRAVEFiles

[I4R @I4Replication]

Based on the evidence we have examined so far, you would want much stronger validation before your favorite football team relied on these tests to identify its next star.