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<ahref="https://doi.org/10.1038/s41586-023-06246-4"><spantitle="Leakage and the reproducibility crisis in machine-learning-based science">Kapoor & Narayanan <metaproperty="datePublished"content="2023-07-19">2023</span></a>
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Machine Learning
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Census
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17 studies
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<ahref="https://doi.org/10.1073/pnas.2314142121"><spantitle="The replication crisis has led to positive structural, procedural, and community changes">Korbmacher et al <metaproperty="datePublished"content="2024-02-06">2024</span></a>
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Psychology
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Survey
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<ahref="https://doi.org/10.1257/aer.20231045"><spantitle="Nonreplicable publications are cited more than replicable ones">Serra-Garcia & Gneezy <metaproperty="datePublished"content="2024-03-15">2024</span></a>
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1,500 studies
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<ahref="https://doi.org/10.1371/journal.pone.0285068"><spantitle="Open science interventions: A systematic review of their effects on research quality and reproducibility">DeVito et al <metaproperty="datePublished"content="2025-01-12">2025</span></a>
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Research Methodology
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Systematic Review
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156 studies
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<ahref="https://proceedings.mlr.press/v162/reproducibility2022.html"><spantitle="Machine Learning Reproducibility Challenge: A systematic approach to reproducible AI research">Machine Learning Reproducibility Challenge <metaproperty="datePublished"content="2022-07-18">2020-2025</span></a>
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Machine Learning
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Reproduction
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2,000+ papers
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<!--study_placeholder-->
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-[OpenMKT](https://openmkt.org/) - transparency and quality of marketing research published in academic journals
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-[Many Co-Authors](https://manycoauthors.org/) - online platform designed to collect and share information on the provenance and availability of the data for all articles co-authored by Francesca Gino
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-[FORRT](https://forrt.org/) - Framework for Open and Reproducible Research Training advancing research transparency, reproducibility, rigor, and ethics through pedagogical reform and meta-scientific research
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-[World Bank Reproducible Research Initiative](https://www.worldbank.org/en/research/reproducible-research) - Institutional framework transforming development economics through transparent science and reproducible research practices
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## Awesome Lists
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-[Awesome Pipeline](https://github.com/pditommaso/awesome-pipeline) - So many pipelines frameworks
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