How Generative AI can support your research
Is there a place for AI in research? Well, just last year, two Nobel Prizes were awarded for AI applications in researchArtificial Intelligence awarded two Nobel Prizes for innovations that will shape the future of medicine . The 2024 Nobel Prize in Chemistry was awarded for developing an AI algorithm that solved the 50-year protein structure prediction challenge, and in Physics it was awarded for inventions that enable machine learning with artificial neural networks, which as we discussed is a technology that underpins large language models. So, Generative AI could definitely be a powerful assistant in your research journey. In this section, we explore how GenAI can be helpful at different stages of the research cycle.
Idea generation
In this section we will explore how Generative AI can help you come up with ideas, whether it‘s an idea for a new project, potential methodology, or a survey item.
Literature review
Data collection and Data analysis
Emerging applications
In this section, we explore more experimental applications of GenAI in research such as synthetic samples, artificial interviewers, and agent-based modelling. These approaches are more complex and while many of them are somewhat speculative, they could serve as an inspiration for your own ideas.
Communicating results
Generative AI can be helpful in communicating the results of your research. Let’s explore how it can be applied to three main output formats: