This newspaper’s comprehensive foreign media reports were reported on the official website of Michigan State University in the United States on April 15，By the University and the European Southern Observatory、A team of researchers from New York University discovered a new way to evaluate research proposals。This method can achieve the same effect as the traditional review process bet365 Play online games from a statistical perspective，And effectively avoid personal bias in the traditional review process、Disadvantages such as excessive human workload。

Under this new method，The system assigns the review work of the research plan，Use machine learning methods to match reviewers and research plans，And incorporate a feedback mechanism into the review process。Essentially，This new approach is an improved peer review process。First，When the researcher himself submits a research proposal，The researcher will be required to review several papers from competitors，The purpose of this arrangement bet365 Play online games is to reduce the workload of one person during the peer review process，To encourage reviewers to spend more time on each review。Secondly，Through machine learning，Funding agencies can match potential reviewers based on their research resume，Allows review of research proposals to be assigned to people who are skilled in the research area。Allocation done by computers can eliminate the influence of human factors such as bias，To get a more accurate evaluation。In addition，The research team introduced a feedback system。In this system，Those who submit research Bet365 app download proposals can judge whether the review comments they receive are helpful，This will ultimately help academia reward those scholars who continue to provide constructive feedback。

Researchers said，While academia treats science critically，But sometimes we don’t take the time to think critically about how to improve the process of allocating scientific resources。As a new attempt，This new approach may have an impact in academia。

(Chen Yutong/Compiled)