AI for Academic Research & Publishing¶
Vibe research, feedback machines, AI-assisted academic writing, and the future of scholarly work.
Summaries¶
AI-Assisted Research Workflows¶
- 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 and the Future of Research¶
- 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
Empirical Workflows & Verification¶
- 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
Publishing & Peer Review¶
- 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
Writing & Voice¶
- Teaching AI Your Voice — Blattman's method for preserving authorial style
- Document Collection — Blattman's "email as database" pattern for document retrieval