The Replication Network
Furthering the Practice of Replication in Economics
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Surveying Reproducibility
[From the article “Assessing data availability and research reproducibility in hydrology and water resources” by Stagge, Rosenberg, Abdallah, Akbar, Attallah & James, published in Nature’s Scientific Data] “…reproducibility requires multiple, progressive components such as (i) all data, models, code, directions,…
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 MoreWhat Can Stop Bad Science? Open Science and Modified Funding Lotteries
[From the working paper, “Open science and modified funding lotteries can impede the natural selection of bad science” By Paul Smaldino, Matthew Turner, and Pablo Contreras Kallens, posted at OSF Preprints] “…we investigate the influence of three key factors on the…
Read MoreHow Should One Statistically Analyse a Replication? It Depends.
[From the preprint, “Statistical Analyses for Studying Replication: Meta-Analytic Perspectives” by Larry Hedges and Jacob Schauer, forthcoming in Psychological Methods] “Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have…
Read MoreIntro to Open Science in 8 Easy Steps
[From the working paper, “8 Easy Steps to Open Science: An Annotated Reading List” by Sophia Crüwell et al., posted at PsyArXiv Preprints] “In this paper, we provide a comprehensive and concise introduction to open science practices and resources that can help…
Read MoreModelling Reproducibility
[From the preprint “A Model-Centric Analysis of Openness, Replication, and Reproducibility”, by Bert Baumgaertner, Berna Devezer, Erkan Buzbas, and Luis Nardin, posted at arXiv.org] “In order to clearly specify the conditions under which we may or may not obtain reproducible results,…
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