As an experimental publisher at ArtSci lab at UT Dallas, Dhatri can explain that peer reviewing is an essential part of the publishing process. It is a quality control measure that ensures the research or work submitted for publication is of high quality and meets the standards of the scientific community. Peer reviewing involves soliciting feedback from subject matter experts or peers who have the necessary expertise in the relevant field. The peer reviewing process typically involves sending a lot of emails back and forth between the authors, reviewers, and the publisher. This can be a tedious and time- consuming task, and it can also be prone to errors and delays.
To address these challenges, we can automate the peer review process using Python to automate repetitive tasks, such as sending and receiving emails, tracking revisions, and generating reports. By automating the peer review process, we can streamline the workflow, reduce errors, and improve the efficiency of the publishing process. This will enable us to provide faster feedback to authors and ensure a timelier publication process.
Overall, automating the peer review process using Python can help us to improve the quality and efficiency of the publishing process, making it more accessible and beneficial to both authors and reviewers.
Project By:
Dhatri Polasanapalli