Optimizing the Grant Writing Process: A Framework for Creating a Grant Writing Assistant Using ChatGPT 4
This extended abstract explores prompt engineering strategies and usability testing that can be applied to create a grant writing assistant using ChatGPT 4. Utilizing scholarly literature from the past 3 years concerning LLM development, AI integration, and prompt engineering, along with White et al's experimental prompt pattern catalog [13] for software engineering, and previously accepted grants from a given institution, ChatGPT 4 can be applied to create a transferable template that streamlines the grant writing process. By following the frameworks outlined in the literature and guidelines for potential applications, we propose that grant writers can integrate a more efficient grant writing process that reduces confusion in understanding NSF's guidelines and criteria, helps to articulate clear and achievable objectives, and improves proposal alignment with NSF's strategic priorities.
Authors
- Benjamin Kasierski
- Emma Fagnano
Institutions
- North Carolina State University (US)
Publication Details
- Published
- 2024-10-20
- DOI
- https://doi.org/10.1145/3641237.3691693
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00