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Consequential

42 EpisodesProduced by Carnegie Mellon UniversityWebsite

Consequential is a narrative podcast about public policy, its impacts, and its potential for building a better future. The show is produced by Carnegie Mellon University's Heinz College of Information Systems and Public Policy. https://hnz.cm/consequential

25:50

Can automation make peer review faster and fairer?

Peer review is the backbone of research, upholding the standards of accuracy, relevance and originality. However, as innovation in the fields of AI and machine learning has reached new heights of productivity, it has become more difficult to perform peer review in a fast and fair manner. Our hosts are joined by Nihar Shah to unpack the question of automation in the scientific publication process: could it help, is it happening already, and what does it have in common with the job application process?

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