AI research equipment shared instrument grant narrative

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-research-equipment-shared-instrument-grant-narrative-creators

1. Which component of a shared instrument grant can AI help generate from user letters and utilization data?

   1. The user demand and management sections
   2. The budget justification for equipment maintenance
   3. The biographical sketch of the principal investigator
   4. The title page and institutional signatures

2. Why should AI not be left to determine who qualifies as a major user for a shared instrument grant?

   1. AI lacks access to the institutional review board
   2. Major user status affects review scoring and requires human verification
   3. AI cannot read PDF documents
   4. The NIH prohibits AI from making funding decisions

3. What task related to institutional commitment cannot be delegated to AI in grant writing?

   1. Allocating institutional commitment funds
   2. Formatting the commitment letter to meet submission requirements
   3. Summarizing the commitment letter into bullet points
   4. Proofreading the commitment letter for errors

4. What aspect of the management narrative can AI outline effectively?

   1. The exact dollar amount of institutional support
   2. The names of all potential equipment vendors
   3. The proposed governance structure and access policy
   4. The core director's personal story and qualifications

5. Which of the following represents a human responsibility that cannot be replaced by AI in shared instrument grant preparation?

   1. Providing the core director's narrative voice
   2. Generating dummy data for the budget
   3. Formatting citations in the correct style
   4. Checking grammar and spelling throughout

6. From user letters of support, what can AI summarize to support a grant proposal?

   1. The exact salary information of each user
   2. The personal opinions of reviewers
   3. Future research discoveries that will occur
   4. User demand by department and project type

7. What happens if major user designations are made by AI without human verification?

   1. The grant budget is automatically increased
   2. The proposal receives automatic approval
   3. Review scoring may be negatively impacted
   4. The equipment is ordered immediately

8. What type of data can AI aggregate to provide demand evidence for a shared instrument grant?

   1. Social media posts about the facility
   2. Future utilization projections from competitors
   3. Current core facility utilization data
   4. Historical weather patterns at the institution

9. Which party holds ultimate responsibility for verifying major user designations in a shared instrument grant?

   1. The institutional compliance office
   2. The AI software generating the document
   3. The department chair alone
   4. The principal investigator and core director

10. What specific limitation does AI have when drafting management sections of equipment proposals?

    1. AI cannot count words
    2. AI cannot make decisions about resource allocation
    3. AI cannot write complete sentences
    4. AI cannot format documents

11. What is required to create a major user table in a shared instrument grant proposal?

    1. Approval from the equipment manufacturer
    2. Verification by the PI and core director
    3. A video demonstration of the equipment
    4. A list of all students at the institution

12. How does AI contribute to demand projection in grant proposals?

    1. By inventing research projects that don't exist
    2. By predicting which researchers will leave the institution
    3. By determining which grants will be funded
    4. By aggregating current utilization data into trends

13. What governance element can AI help outline for a core facility?

    1. The precise timeline for equipment delivery
    2. Access policies and oversight structures
    3. The specific individuals who will serve on every committee
    4. The exact salary for each staff position

14. What must remain under human control when using AI to draft grant narratives?

    1. Choosing font styles for headings
    2. Spell checking and formatting
    3. Final decisions on major user status and fund allocation
    4. Selecting paper size for printing

15. Which document provides institutional commitment information that AI can incorporate into a grant?

    1. The core director's personal diary
    2. The institutional commitment letter
    3. The equipment supplier's catalog
    4. The user letters of support