Exercises — Chapter 16: NIH Grants

Work these with a real or planned health-related project in mind. If your work is not NIH-bound, do Parts A and M anyway — the discipline of fitting a proposal to a funder's specific machinery is universal — and treat Parts B and C as a transferable thinking exercise.

How to use these: Part A checks recall; Part B applies the chapter to concrete decisions; Part C asks you to analyze and create at the level a real NIH applicant must; Part M interleaves earlier chapters so the NIH material doesn't sit in a silo. Answers to selected exercises (marked ★) are in the back matter.

Part A — Recall and Understand

A1. ★ Name the two assignments the Center for Scientific Review (CSR) makes for an incoming application, and explain why the separation of those two functions is fundamental to NIH strategy.

A2. On the NIH 1–9 impact scale, which is the better score, a 2 or an 8? State the rule in your own words, and explain why the overall impact score is described as holistic rather than an average.

A3. Define each in one sentence: R01, R21, F31, K award, payline, percentile, summary statement, ESI.

A4. ★ List the five long-standing NIH review criteria. Which one is "often the most heavily weighted in practice," and what does it stress-test?

A5. Name four NIH-specific components (beyond the universal proposal) that an NIH application must include, and state in one phrase why NIH requires each.

A6. What is an A1, how many resubmissions does NIH allow, and what required element must an A1 contain?

A7. Explain "triage" in NIH review: which applications are triaged, what happens to them, and why landing in the discussed half matters.

Part B — Apply

B1. ★ Match the mechanism. For each applicant, name the most appropriate NIH mechanism and justify it in two sentences using the threshold concept (match the mechanism to your stage and evidence, not your ambition): - (a) A second-year PhD student with a strong mentor and a focused dissertation project, no major preliminary data. - (b) An early-stage investigator with solid pilot data and a fully developed clinical-trial design. - (c) A researcher with a genuinely exploratory, high-risk idea and no preliminary data, who wants to generate enough data to support a future larger grant. - (d) A mid-career scientist who needs protected time and mentored training to shift into a new research area.

B2. Read the score. Hernandez's A0 comes back with an overall impact score of 28, around the 18th percentile; the institute's payline this cycle is the 15th percentile. Is she funded? What is her single best next move, and why is her position actually a strong one?

B3. ★ Influence the assignment. You are submitting an application whose work spans two institutes' missions and would be best reviewed by a study section with a specific methodological expertise. Name two concrete things you can do before and at submission to influence where your application lands, and explain why getting the assignment right can matter as much as the writing.

B4. Triage triage. An applicant says: "I'll write a brilliant Approach section, but I'll keep the Specific Aims page short and let the reviewers find the depth inside." Explain, using how study-section review works, why this is a dangerous strategy at NIH specifically.

B5. Plan the A1. An unfunded A0 comes back with a summary statement raising three concerns: (1) a genuine design weakness, (2) a feasibility worry that is half-valid, and (3) a criticism that rests on a reviewer misreading your text. Sketch how your A1 introduction should handle each of the three — what you change, what you clarify, and the tone throughout.

Part C — Analyze and Create

C1. ★ Map your components. For your project (real or planned), build the NIH component checklist from Section 16.5: list every NIH-specific element your application would require, note which are triggered by your project's specifics (human subjects? animals? a clinical trial? data sharing?), and flag the two you currently understand least well. This becomes part of your "My Proposal" compliance plan (Chapter 15).

C2. Write the mechanism case. In one page, argue which NIH mechanism fits your current stage and evidence, explicitly running the threshold-concept test. If you cannot honestly justify the mechanism your ambition wants, say which lower-stage mechanism (or which preliminary-data-generating step) you should pursue first, and why.

C3. ★ Critique a holistic score. Here is a (composite) reviewer's summary: "Significant problem, strong team, innovative idea, supportive environment — but the analytic plan is underspecified and the recruitment target looks optimistic given the timeline." Predict roughly where this application scores and explain, in terms of holistic scoring, why strengths on four criteria don't rescue it. Then rewrite the applicant's likely mistake into a fix.

C4. Draft the rigor paragraph. Write a short (150–250 word) Rigor and Reproducibility statement for your project that genuinely addresses scientific premise, rigorous design, relevant biological variables, and authentication of key resources — not as boilerplate, but as a real account a skeptical reviewer would respect.

C5. Stage the arc. Sketch a realistic multi-year NIH funding arc for yourself or a hypothetical investigator: which mechanisms, in what order, with what evidence accumulating at each step. Show that you understand NIH funding as a long game (Section 16.7), not a single shot.

Part M — Mixed and Interleaved Review

M1. ★ (Ch 6 + 16) Explain why the Specific Aims page is especially decisive at NIH, connecting the genre's purpose (Chapter 6) to the specific mechanics of study-section review (this chapter): assigned reviewers, the primary reviewer's presentation, and triage.

M2. (Ch 2 + 16) The "thinking like a funder" lesson (Chapter 2) said you must understand the room you're writing for. At NIH there are arguably two rooms. Name them, say what each cares about, and explain how a single application must satisfy both.

M3. (Ch 13 + 16) How does the NIH-format biosketch (with its tailored personal statement) serve the "Investigator(s)" criterion? Connect this to the organizational-capacity / key-personnel case you learned to make in Chapter 13.

M4. ★ (Ch 9 + 16) Chapter 9 taught the pitfalls-and-alternatives strategy and strategic detail in the approach. Why does that lesson have extra force at NIH, given that "Approach" is often the most heavily weighted criterion and the holistic score lets one weakness dominate?

M5. (Ch 14 + 16) Connect the Data Management and Sharing (DMS) plan required by NIH to the dissemination and open-data themes of Chapter 14. Why is the DMS plan a substantive scientific commitment and not just paperwork?

M6. (Ch 1 + 16) Chapter 1 introduced the idea that the same project can fit different funders differently. Show how this plays out inside the NIH, where the same application assigned to a different institute could meet a different mission priority and a different payline.

🪞 Metacognitive check-in. Which of these exercises did you most want to skip — and was it the NIH-specific machinery (mechanisms, scoring, components) or the universal craft (aims, approach, team) underneath it? Most applicants who struggle with NIH have the craft but resent the machinery. If that's you, notice it: the machinery is learnable, and the applicants who master it as well as the science are the ones who get funded.