Lesson 98 of 2244
Grant Writing Assistance: Specific Aims, Specifically
Grant writing rewards structural discipline. AI is a near-perfect drafting partner — if you feed it the right scaffolds.
Adults & Professionals · Research & Analysis · ~24 min read
Why grants are perfect for AI assistance
Grant proposals are among the most structured documents in research. NIH and NSF both publish explicit scaffolds: specific aims, significance, innovation, approach, broader impacts. Structure is what LLMs do best. The danger is that structure also lets bad content hide — you can produce a perfectly-formatted proposal that says nothing new.
The specific aims workflow
- 1Write a one-paragraph description of the scientific problem, in plain English
- 2Ask the LLM to propose 3 specific aims that would address the problem
- 3Refine the aims with your domain expertise — the LLM doesn't know your field well enough
- 4Ask the LLM to pressure-test each aim: 'what would a skeptical reviewer say?'
- 5Draft the specific aims page with the refined aims
The broader impacts section (NSF)
Broader impacts is where proposals often get weakest — researchers tack on outreach bullet points at the end. Use the LLM to pressure-test your broader impacts: 'Would a program officer find these specific, funded-to-execute, and measurable? If not, rewrite.'
- Save every prompt and response — funders may require AI-use disclosure
- Your institution likely has an AI-use policy for grants; check it
- For NIH, the 2024 guidance discourages AI use for peer review but allows AI-assisted writing with disclosure
Key terms in this lesson
The big idea: AI drafts grant scaffolds beautifully. The science has to come from you — and the institutional disclosure rules matter.
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