# FQxI's Metascience Project The [FQxI](https://fqxi.org/) Metascience Project has set out to evaluate academic journals based on the quality and impact of their publications. For this purpose, we will leverage a human-curated dataset and automated (machine learning-based) data analysis techniques, culminating in a publicly accessible web-based dashboard. The project will focus on physics-oriented journals. :woman::man:**Peer Analysis**: a group of physicists will review papers already published in high-impact academic journals within the physics literature. The goal is to create a reliable, human-curated dataset to assess the journals. :computer:**Automated Analysis**: with the basis and insights from the human-curated dataset, the goal is to create a system for a large-scale analysis of the available physics literature. Datasets that will be used include the ArXiv dataset. This will be accomplished by deploying Natural Language Processing (rule-based and machine-learning-based) techniques to evaluate the quality and impact of scientific publications. While we know the many limitations of these types of analysis, we believe it is essential to work in this direction in a principled and transparent way. Ultimately, our goal is to help our community of researchers and scientists by providing an honest assessment and actionable insights into the status of the scientific publication system. We thus invite anyone interested in [reaching out](/fqxis-metascience-project/contact-us.md). ## Get Involved #### FQxI has opened up to 200 paid positions for physics experts to review a series of papers published across ten different high-impact journals spanning ten years. You can find more information about what this entails and/or to fill out an application to review [HERE](https://forms.office.com/Pages/ResponsePage.aspx?id=DQSIkWdsW0yxEjajBLZtrQAAAAAAAAAAAANAASRJmVRUODE4NVBCT0dETEYzT1E4RFE5TzJPRURBVi4u). ## Keep me posted If you want to receive project updates, join our mailing list. {% @mailchimp/mailchimpSubscribe cta="Sign up to receive monthly updates!" %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://fqximetasci.gitbook.io/fqxis-metascience-project/fqxis-metascience-project.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.