Using Machine Learning for Manuscript Submission

Using Machine Learning for Manuscript Submission

12 Mar 2019, 14:30 - 15:30

The Faculty
Language:
English

Over 3,000 new STM (scientific, technical and medical) articles are published every day. The average delay between submission and publication is over 130 days.  Authors, institutions and publishers all agree they would like this delay to be reduced, but how? In this presentation, Michael Upshall from UNSILO shows how AI tools are being introduced to improve quality and to reduce delays. Most importantly, the new tools do not replace humans. We will show how AI tools are being used alongside human editors to enable them to use their judgement more effectively. In key areas such as findingn peer reviewers, identifying the most relevant journal, finding the most relevant published papers in the subject, these tools make humans work smarter as well as faster. 

Contributors

  • Michael Upshall

    Speaker

    Head of Business Development

    UNSILO

    Michael Upshall is Head of Business Development at UNSILO, a Danish machine-learning software company providing AI-based solutions for academic and...

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