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Can automation make peer review faster and fairer?

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Manage episode 279061046 series 2789552
Content provided by Carnegie Mellon University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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?

  continue reading

41 episodes

Artwork
iconShare
 
Manage episode 279061046 series 2789552
Content provided by Carnegie Mellon University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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?

  continue reading

41 episodes

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