An AI Interface for Research Papers
A new working paper introduces a Model Context Protocol (MCP) that allows users to interact with research data using natural language. This innovation aims to enhance the accessibility and flexibility of empirical research by enabling users to run additional analyses and create new visualizations. The MCP is designed to facilitate replication and investigation while retaining the benefits of traditional research papers.
- ▪The MCP enables users to ask questions about the data and run regressions not included in the original paper.
- ▪It allows for the creation of new plots and subsetting of data for further analysis.
- ▪The MCP serves as a standardized interface for AI applications to connect with research data and tools.
Opening excerpt (first ~120 words) tap to expand
An AI Interface for Research PapersThe Research Paper Isn't Dead (Yet!)Justin RossMay 22, 202662ShareI have a new working paper out (with Whitney Afonso and Denvil Duncan) that does something I haven’t seen before in a research paper: a Model Context Protocol (MCP) that provides a structured way of interacting with the paper via a Large Language Model. I’m going to show you first what I did, and then tell you what I think the opportunities are available at present for scientific research papers.Without specifics, our paper introduces a pair of randomized treatments (Priority and Performance) to elicit people’s stated preferences. We do all the normal things of a research paper: collect data about the survey respondents, show various tables, figures, and regression results.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Newest).
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