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Description: Most scientific research is conducted by small teams of researchers, who together formulate hypotheses, collect data, conduct analyses, and report novel findings. These teams are rather closed and operate as vertically integrated silos. Here we argue that scientific research that is horizontally distributed provides substantial complementary value by maximizing available resources, increasing inclusiveness and transparency, and facilitating error detection. This alternative approach enables researchers to tackle ambitious projects by diversifying contributions and leveraging specialized expertise. The benefits of large scale collaboration span the entire research process: ideation, study design, data collection, data analysis, reporting, and peer review. Crowdsourcing can accelerate the progress of science and improve the quality of scientific research.

License: CC0 1.0 Universal

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Has supplemental materials for Scientific Utopia: III. Crowdsourcing Science on PsyArXiv

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Investigating variation in replicability: A “Many Labs” Replication Project | Registered: 2013-06-14 19:40 UTC

We will attempt to replicate 12 effects in a single experimental package across numerous labs. Variations between lab conditions and sample characteri...

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Many Labs 2: Investigating Variation in Replicability Across Sample and Setting | Forked: 2014-02-18 11:38 UTC

We employ an expanded version of the Many Labs paradigm to investigate 28 new effects and further examine the findings from Many Labs 1.

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Many Labs 3: Evaluating participant pool quality across the academic semester via replication

Many Labs 3 is a crowdsourced project that systematically evaluated time-of-semester effects across many participant pools. See the Wiki for a table ...

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