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Justin Ross, a professor of public finance and economics, co-authored a new empirical working paper (alongside Whitney Afonso and Denvil Duncan) and built a local Model Context Protocol (MCP) server to accompany it. This MCP provides a structured interface that allows readers to interact with the paper's underlying data using natural language via a Large Language Model (LLM). Integrating Model Context Protocol (MCP) servers into research papers could act as a "positive referee productivity shock" that significantly speeds up the peer review process. We dive deep!
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
By Mike BreaultJustin Ross, a professor of public finance and economics, co-authored a new empirical working paper (alongside Whitney Afonso and Denvil Duncan) and built a local Model Context Protocol (MCP) server to accompany it. This MCP provides a structured interface that allows readers to interact with the paper's underlying data using natural language via a Large Language Model (LLM). Integrating Model Context Protocol (MCP) servers into research papers could act as a "positive referee productivity shock" that significantly speeds up the peer review process. We dive deep!
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC