AI research administration effort certification narrative

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-research-administration-effort-report-creators

1. What is effort certification in the context of federal grant research administration?

   1. A procedure that allows researchers to increase their grant funding after the award period ends
   2. An automated software system that calculates salary charges directly to grants without human review
   3. A requirement that applies equally to all private foundation grants regardless of funding source
   4. A personal attestation by a researcher confirming that time was spent as reported on grant-funded projects

2. Which of the following tasks is AI specifically capable of performing in effort certification?

   1. Certifying that effort was actually expended on sponsored projects
   2. Retroactively changing effort allocation after the certification period has ended
   3. Drafting a supporting narrative from calendar data, project assignments, and prior effort reports
   4. Legally signing the effort report to attest to its accuracy

3. When an AI system 'flags divergence' in effort reporting, what does this mean?

   1. Generating financial reconciliation reports for the grant budget
   2. Identifying months where observed calendar activity does not match previously reported effort
   3. Automatically correcting errors in timekeeping records
   4. Sending immediate notifications to funding agency program officers

4. Under federal Uniform Guidance regulations, who bears legal responsibility for effort certification?

   1. The funding agency program officer who approved the grant
   2. The university research administrator who reviews the report
   3. The AI system used to generate the supporting narrative
   4. The Principal Investigator (PI) who signs the certification

5. If AI identifies an activity as 'non-sponsored,' what type of work does this typically represent?

   1. Vacation and sick leave that has been pre-approved by supervisors
   2. Administrative tasks that can be charged to sponsored projects
   3. Work performed that is not funded by any federal or sponsored grant
   4. Time devoted to grant-funded research projects

6. What is considered the primary limitation of AI in effort certification?

   1. AI cannot generate any written text for documentation purposes
   2. AI cannot provide the legal attestation required by federal regulations
   3. AI cannot process calendar data or project assignments
   4. AI cannot distinguish between different types of research projects

7. In effort reporting, what does 'retroactive reallocation' refer to?

   1. Transferring unspent funds between budget line items in a grant
   2. Planning effort allocation before a grant period begins
   3. Changing the distribution of effort after the certification period has already passed
   4. Extending a grant's project period to allow additional work

8. Why is the PI's signature considered essential in effort certification?

   1. It authorizes the AI system to process and submit the final report
   2. It is a formality required by the university but has no legal weight
   3. It serves as approval for additional funding from the sponsor
   4. It represents the legal attestation required by federal Uniform Guidance

9. What source information would an AI most likely use to draft an effort certification supporting narrative?

   1. Student grades from related courses
   2. Laboratory equipment inventory lists
   3. Calendar entries, project assignments, and prior effort reports
   4. Citation counts from published articles

10. What is the Uniform Guidance in the context of research administration?

    1. A research methodology required for all federally funded studies
    2. Federal regulations that govern the administration of grants and cooperative agreements
    3. An international agreement governing cross-border research collaborations
    4. A specific software platform used by universities for grant management

11. When AI flags a month where calendar evidence diverges from prior reported effort, what is the appropriate next step?

    1. The AI will automatically adjust the numbers to match the calendar
    2. The grant will be terminated immediately for non-compliance
    3. The PI must review the flagged discrepancy and address it before certification
    4. No action is required since the AI has already processed the information

12. What is the key distinction between a supporting narrative and the actual effort certification?

    1. They are essentially identical documents serving the same purpose
    2. The narrative is optional and not required by federal regulations
    3. The narrative provides documentation; the signature represents the legal certification act
    4. Only the narrative needs to be reviewed by the PI

13. In research administration, what does 'effort' specifically refer to?

    1. The duration of time remaining in a grant's project period
    2. The number of publications produced during a grant period
    3. The proportion of a researcher's time that is devoted to a particular project
    4. The total dollar amount awarded for a research project

14. What is a key advantage of using AI to assist with effort certification narratives?

    1. AI can retroactively reallocate effort that was misreported
    2. AI eliminates the need for any PI review of the documentation
    3. AI can efficiently map calendar time to sponsored projects and identify patterns
    4. AI can provide the legal signature required for certification

15. What potential consequence could result from incorrectly certifying effort on federal grants?

    1. Termination of all university research programs
    2. Automatic reduction of the researcher's university salary
    3. Immediate revocation of the researcher's academic credentials
    4. Audit findings, required repayment of funds, and potential suspension of future funding