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.

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Published
2024-10-20
DOI
https://doi.org/10.1145/3641237.3691693
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Optimizing the Grant Writing Process: A Framework for Creating a Grant Writing Assistant Using ChatGPT 4

Benjamin Kasierski, Emma Fagnano
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Artificial Intelligence in Healthcare and Education
article

Optimizing the Grant Writing Process: A Framework for Creating a Grant Writing Assistant Using ChatGPT 4

Benjamin Kasierski, Emma Fagnano
article en

Abstract

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.

North Carolina State University (US)
Quality Education
Openalex Percentile: Top 86%
Artificial Intelligence in Healthcare and Education
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