Guidance on the use of Generative AI in the Production and Evaluation of Research Grant Proposals
Jan 30 2025, 12-1PM EST.
Generative AI can help generate novel research ideas based on existing literature. For example, it can scan many scientific papers and propose potential research gaps or areas that have not been previously explored. It can also be used to draft and structure research proposals by providing literature reviews, defining research questions, suggesting methodologies, and predicting possible outcomes. Research proposals for grant applications require clear, precise, and persuasive language, and AI models can refine text to these ends to increase chances of funding. Given these powerful capabilities, consideration of the risks associated with the use of this technology should be given by research funders on the ethics on the reliance of these tools, concerns on intellectual ownership and confidentiality, and the quality and quantity of generated research proposals. This discussion will provide context on the guidance from the funding Councils to date and engage with the CARA community on the use of generative AI for these purposes.
This webinar was a session at the 2024 CARA National Conference.
Generative AI can help generate novel research ideas based on existing literature. For example, it can scan many scientific papers and propose potential research gaps or areas that have not been previously explored. It can also be used to draft and structure research proposals by providing literature reviews, defining research questions, suggesting methodologies, and predicting possible outcomes. Research proposals for grant applications require clear, precise, and persuasive language, and AI models can refine text to these ends to increase chances of funding. Given these powerful capabilities, consideration of the risks associated with the use of this technology should be given by research funders on the ethics on the reliance of these tools, concerns on intellectual ownership and confidentiality, and the quality and quantity of generated research proposals. This discussion will provide context on the guidance from the funding Councils to date and engage with the CARA community on the use of generative AI for these purposes.
This webinar was a session at the 2024 CARA National Conference.
Presented by: Michael Lam
Michael is the Chief Data Officer at the Natural Sciences and Engineering Research Council of Canada (NSERC). In this position, he leads NSERC’s strategic utilization of data, analytics, and AI, to drive innovation, inform decision-making and enhance operational efficiency. Michael has a deep understanding of the research funding landscape and is passionate about supporting the R&D community through data and diverse perspectives. His approach emphasizes the importance of diversity and inclusion, advocating for the integration of varied viewpoints and methodologies to enrich research outcomes and foster a more inclusive scientific community.
Michael is the Chief Data Officer at the Natural Sciences and Engineering Research Council of Canada (NSERC). In this position, he leads NSERC’s strategic utilization of data, analytics, and AI, to drive innovation, inform decision-making and enhance operational efficiency. Michael has a deep understanding of the research funding landscape and is passionate about supporting the R&D community through data and diverse perspectives. His approach emphasizes the importance of diversity and inclusion, advocating for the integration of varied viewpoints and methodologies to enrich research outcomes and foster a more inclusive scientific community.
Event Date: 30 Jan 2025 | City: | Venue: Online
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