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Open-Source Data Science Projects at elife

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Open-Source Data Science Projects at elife
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39
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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eLife's mission to accelerate discovery by operating a platform for research communication that encourages responsible behaviours in science has been aided by four recent Al projects. This experience report details the team's journey in using natural language processing, computer vision and similarity algorithms to find more diverse peer reviewers, apply semantics to archive content, automate the submission process, find insights into sentiment of scholarly content and explore the taxonomy of peer reviews.