The Replication Network
Furthering the Practice of Replication in Economics
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Predicting Reproducibility: Rise of the Machines
[Excerpts are taken from the article “Estimating the deep replicability of scientific findings using human and artificial intelligence” by Yang Yang, Wu Youyou, and Brian Uzzi, published in PNAS] “…we trained an artificial intelligence model to estimate a paper’s replicability using…
Read MoreIf All the Neuroimaging Researchers Were Laid End to End, Would They Reach a Conclusion?
[Excerpts taken from the article “Variability in the analysis of a single neuroimaging dataset by many teams” by Thomas Nichols, Russell Poldrack, Tom Schonberg and 194 others, posted at BioRXiv] “Data analysis workflows in many areas of science have become…
Read MorePFEIFFER: Taking Replication Markets To a Whole New Level
Replication markets are prediction markets run in conjunction with systematic replication projects. We conducted such markets for the Replication Project: Psychology (RPP), Experimental Economics Replication Project (EERP), Social Science Replication Project (SSRP) and the Many Labs 2 Project (ML2). The…
Read MoreIN THE NEWS: Wired (February 15, 2019)
[From the article “DARPA Wants to Solve Science’s Reproducibility Crisis With AI” by Adam Rogers, published in Wired] “A Darpa program called Systematizing Confidence in Open Research and Evidence—yes, SCORE—aims to assign a “credibility score” … to research findings in the…
Read MoreIN THE NEWS: New York Times (November 19, 2018)
[From the article, “Essay: The Experiments Are Fascinating. But Nobody Can Repeat Them” by Andrew Gelman, published in The New York Times] “At this point, it is hardly a surprise to learn that even top scientific journals publish a lot…
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