AI for Academic Research & Publishing¶

Vibe research, feedback machines, AI-assisted academic writing, and the future of scholarly work.

Summaries¶

Vibe Research — Gregoire wrote a finance paper in 4 days with AI
Reflections on Vibe Researching — Gans's year-long AI-first experiment and its failures
Feedback Machines — Bäckman on structured paper feedback with Claude/Cursor
Prompts-to-Paper — Chen uses AI co-authors (o1, Sonnet, Deep Research) to write a theory paper on hedging AI risk
Stress-Test Research Pipeline — Lopez-Lira's pipeline for evaluating PhD research ideas

AI One-Shot Papers — Goldsmith-Pinkham on AI-generated papers' over-reliance on diff-in-diff
Can AI Replace Researchers? — Karpf arguing the real crisis is broken incentives
Research in the Time of AI — Goldsmith-Pinkham's research pipeline ontology
OpenAI Automated Researcher — OpenAI's plan for fully automated research by 2028
When Will the Research Paper Disappear? — Cowen on the obsolescence of static papers
Generative AI for Economic Research — Korinek on use cases and implications for economists

How I Use Claude Code for Empirical Research — Cunningham's MixtapeTools, Referee 2, cross-language replication
Multiple Agents Auditing Your DiD Code — Hallucination as measurement error, cross-language verification
Can Claude Code Find Facts? — Automated DiD paper in 3.5 hours, epistemological questions

Research and Publishing Are Now Two Different Things — Supply-demand analysis of manuscript production costs
A Modest Proposal for Editors — Little's Law applied to journals, LLM desk screening

Teaching AI Your Voice — Blattman's method for preserving authorial style
Document Collection — Blattman's "email as database" pattern for document retrieval