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

Joined December 2021
🧵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 👇
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Already 115 registered participants within 24 hours. 10 slots left!
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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: surveymonkey.ca/r/5Z3L7V8
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Serious data sharing policy and looking for a data editor. That's amazing and quite impressive given the norms in this field. @JSportsSci
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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!
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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.
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Join us (docs.google.com/forms/d/e/1F…) 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.
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Two more retractions and a discussion of what we learned. 🧵 #CRAVEFiles
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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.
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Is this game over? No, the replication games start in a few weeks! Stay tuned for more information.
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