An Algorithm to Support the Review Process of a Scientific Research Project Proposal Using ChatGPT

Reviewing scientific research project proposals (SRPPs) is essential for the development of scientific knowledge and innovation. Traditional peer review methods often face challenges such as significant drafting time, subjective evaluations, and a shortage of qualified reviewers, which reduce the quality of reviews. With the development of artificial intelligence, the potential for improving the peer review process is being discovered. This study proposes and evaluates an algorithm to assist the peer review process using ChatGPT. The algorithm aims to optimize the review process by automating the analysis, generating objective scores using weighting coefficients, SWOT analysis and providing feedback on various aspects of project proposals. The study analyses the effectiveness of the algorithm through a SWOT analysis that highlights its strengths, weaknesses, opportunities and threats. The algorithm may be useful for reviewers, researchers and academic institutions seeking to enhance the effectiveness and objectivity of SRPP evaluation.