Scientific Utopia III: Crowdsourcing Science.
作者： Eric Luis Uhlmann , Charles R Ebersole , Christopher R Chartier , Timothy M Errington , Mallory C Kidwell
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摘要: Most scientific research is conducted by small teams of investigators who together formulate hypotheses, collect data, conduct analyses, and report novel findings. These operate independently as vertically integrated silos. Here we argue that horizontally distributed can provide substantial complementary value, aiming to maximize available resources, promote inclusiveness transparency, increase rigor reliability. This alternative approach enables researchers tackle ambitious projects would not be possible under the standard model. Crowdsourced initiatives vary in degree communication between project members from largely independent work curated a coordination team crowd collaboration on shared activities. The potential benefits challenges large-scale span entire process: ideation, study design, data collection, analysis, reporting, peer review. Complementing traditional science with crowdsourced approaches accelerate progress improve quality research.
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