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EASE panel discussion: Assisting Peer Review with Technology and Large Language Models

Tuesday, 21 May 2024, 4pm (UK time)

The EASE Peer Review Committee Chair, Mario Malički, will be hosting a discussion with panellists James Zou, Lu Sun and Mike Thelwall.

The transformative power of Large Language Models, and new AI technologies is bringing excitement for the future we might soon find ourselves living in. But it also brings worries regarding the possible mass layoffs of workers. These considerations are permeating science with aims to revolutionise the speed with which the new scientific discoveries will be made. This means that both idea generation, study conduct, writing of manuscripts and research dissemination, as well as quality control might be enhanced or completely overtaken by ‘machines’. Join us for the EASE webinar on 21 May, at which we will discuss how the landscape of peer review is already changing due to these new technologies.

This EASE webinar is free and open to all.





Mario Malički

Editor-in-chief, RIPR Journal, Stanford UniversityUnited States

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James Zou

Associate Professor of Biomedical Data Science, CS and EE, Stanford UniversityUnited States

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Lu Sun

PhD candidate, Design Lab, University of California San DiegoUnited States

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Mike Thelwall

Professor of Data Science, Information School, University of SheffieldUnited Kingdom

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