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This free 2-hour workshop is a condensed version of the PREreview Open Reviewers Program designed to train researchers across career levels and areas of expertise in how to engage in manuscript peer review, centering around issues of equity, diversity, and inclusion. Peer review, just as any other process, protocol, policy, or structure, is conducted by people and thus is naturally subject to influence by the biases of people. This workshop discusses how bias shows up in peer review and highlights strategies and guidelines on how to reflect on our own biases and provide clear and constructive feedback. Learning objectives: Learn how the PREreview platform works to support you in reviewing preprints Define “bias”, understand where it comes from, how it shows up in scientific peer review, and learn strategies to recognize, self-assess, and address our own personal biases. Learn strategies to provide clear, constructive, actionable feedback to scientific manuscripts
open peer review, PREreview, bias in peer review, preprint peer review
open peer review, PREreview, bias in peer review, preprint peer review
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 28 | |
| downloads | 29 |

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Downloads provided by UsageCounts