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Lily Jiang

Researcher at University of Washington

Publications -  5
Citations -  802

Lily Jiang is an academic researcher from University of Washington. The author has contributed to research in topics: Replication (statistics) & Operationalization. The author has an hindex of 4, co-authored 5 publications receiving 525 citations. Previous affiliations of Lily Jiang include Harvard University.

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Why are some STEM fields more gender balanced than others

TL;DR: Efforts to increase women’s participation in computer science, engineering, and physics may benefit from changing masculine cultures and providing students with early experiences that signal equally to both girls and boys that they belong and can succeed in these fields.
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The pipeline project : Pre-publication independent replications of a single laboratory's research pipeline

Martin Schweinsberg, +82 more
TL;DR: The Pre-Publication Independent Replication (PPIR) project as discussed by the authors is a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published.
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Same data, different conclusions : Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

Martin Schweinsberg, +178 more
TL;DR: DataExplained as discussed by the authors is a crowdsourced initiative that allows independent analysts to test two hypotheses regarding the effects of scientists' gender and professional status on verbosity during group meetings using the same dataset.
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Data from a pre-publication independent replication initiative examining ten moral judgement effects

Warren Tierney, +84 more
- 11 Oct 2016 - 
TL;DR: In the Pre-Publication Independent Replication (PPIR) project as discussed by the authors, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory's research pipeline of unpublished findings using online/lab surveys containing psychological manipulations.

Data Descriptor: Data from a pre-publication independent replication initiative examining ten moral judgement effects

TL;DR: Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.