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Knowledge exchange bridges the gap between academics and policymakers, fostering collaboration between these two communities for mutual benefit. But successful knowledge exchange often demands specialist knowledge or skills, particularly interpersonal skills, alongside the delivery of many routine tasks such as horizon scanning and impact tracking.
Through a collaboration between UCL STEaPP and PIU, we are exploring how artificial intelligence (AI) can enhance knowledge exchange activities, including making those routine tasks easier and simpler. We hope that by doing this we can strengthen processes and increase productivity in knowledge exchange, freeing up the valuable time of those working in this field.
We have tested the application of generative AI to enhance knowledge exchange activities in four key areas: event delivery, event reporting, image-based discussion prompt production, and social media content generation. The tests aimed to increase the efficiency and capability of professionals in delivering knowledge exchange activities – particularly events, which can be time-consuming and logistically heavy – not replace professionals’ core functions.
To capture and share our process and learnings, we have produced the AI to Enhance Knowledge Exchange Toolkit. While this toolkit highlights a few specific ways to use AI, there are a plethora of other applications to explore. We encourage event organisers to keep experimenting with new approaches and share their experiences with the wider knowledge exchange community. By learning from each other, we can continue to improve knowledge exchange and increase our collective impact.