@Phoenixyin13: I believe this is the Cursor moment for academia. The Stanford REAP team has launched http://CoPaper.AI, which is systematically eliminating the manual labor of traditional empirical papers. Link: https://copaper.ai/landing If previously using large models to write papers only helped with polishing and...
Summary
The Stanford REAP team has launched CoPaper.AI, a tool that can automatically generate a reproducible empirical paper with complete Stata/R code and charts within 30 minutes after inputting raw data, aiming to end the manual labor of traditional papers.
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Cached at: 06/21/26, 04:33 AM
I think this is the Cursor moment for the academic community.
The Stanford REAP team has launched http://CoPaper.AI, which is systematically eliminating the manual labor of traditional empirical papers.
Link: https://copaper.ai/landing
If earlier using large language models to write papers only helped with polishing and generating references, then this project by Professor Scott Rozelle’s team at Stanford is a nuclear bomb dropped on the social science and economics empirical research community.
The greatest truths are the simplest; the heaviest swords are the dullest. Its functionality is straightforward: Feed in a raw dataset, and within 30 minutes, it produces a complete DOCX paper with a full set of Stata/R code and publication-quality charts.
It connects EDA, variable definition, and econometric model construction (from OLS to advanced DID, regression discontinuity, causal forests) into an agent chain.
Every chart produced has 100% reproducible Stata, R, and EViews source code embedded. How many low-quality paper-writing mills and data laborers will this put out of business?
The countdown to mass unemployment for data laborers and ghostwriters has begun. Because from now on, for social science papers, AI handles all the entropy-pulling work, and humans only need to define the problem.
CoPaper.AI — Your AI Research Co-Author
Source: https://www.copaper.ai/ Loading...
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